Book_Crossing_Recommendation_System.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f72cd15e",
   "metadata": {},
   "source": [
    "# Types of recommendation systems:\n",
    "\n",
    "\n",
    "- Collaborative filtering model: \n",
    "    - Based on feedbacks: \n",
    "        - explicit feedback(ratings, thumbup/thumdown) \n",
    "        - implicit feedback(book in shopping cart, numbner of episode watched in a TV show)\n",
    "    - User-user similarities (people like you, also like \"The Hobbit\")\n",
    "    - Item-item similarities (if you like \"The Hobbit\", you will also \"The Lord of Rings\")\n",
    "    - User-item similarities : combined both approaches above and use *matrix facotrization* -> Best trained with Singular Value decomposition (SVD) \n",
    "\n",
    "\n",
    "- Content-based model:\n",
    "    - similarities are calculated based on content based features (like the genre, duration of the movie )\n",
    "     \n",
    "\n",
    "- Hybrid recommender model:\n",
    "    - combined collaborative filtering with content-based\n",
    "    - Because Hybrid Deep Learning algorithms are non-linear, they are less prone to over-simplify a user’s tastes. They allow us to learn much finer interactions between users and items. \n",
    "    - Deep learning models can reveal more complex tastes over cross-domain data (predict a user's taste on music, movies and even dishes!?)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "459cfd46",
   "metadata": {},
   "source": [
    "# Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "51cf634c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to /Users/jennytang/nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
      "[nltk_data]     /Users/jennytang/nltk_data...\n",
      "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
      "[nltk_data]       date!\n",
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     /Users/jennytang/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import sklearn.metrics as metrics\n",
    "\n",
    "from sklearn.neighbors import NearestNeighbors\n",
    "from scipy.spatial.distance import correlation\n",
    "from sklearn.metrics.pairwise import pairwise_distances\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import os, sys\n",
    "import re\n",
    "from contextlib import contextmanager\n",
    "\n",
    "import nltk\n",
    "nltk.download('punkt')\n",
    "nltk.download('averaged_perceptron_tagger')\n",
    "from textblob import TextBlob\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "nltk.download('stopwords')\n",
    "from sklearn.metrics.pairwise import cosine_similarity\n",
    "from nltk.corpus import stopwords, RegexpTokenizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "89f08ff5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# display full text in columns\n",
    "pd.set_option('display.max_colwidth', -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "088f2928",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[34mBookRecommender\u001b[m\u001b[m/\r\n",
      "Book_Crossing_Recommendation_System.ipynb\r\n",
      "\u001b[34mCode\u001b[m\u001b[m/\r\n",
      "CompPhys-wk01-1_Intro_Students.ipynb\r\n",
      "CompPhys-wk01-2_Variables_Loops_Students.ipynb\r\n",
      "Lab2.ipynb\r\n",
      "MovieLens_Recommender_System.ipynb\r\n",
      "RL - Solving a maze.ipynb\r\n",
      "RL MountainCar.ipynb\r\n",
      "\u001b[34mconversationalstyles\u001b[m\u001b[m/\r\n",
      "\u001b[34mdata\u001b[m\u001b[m/\r\n",
      "planck.pdf\r\n",
      "test.pdf\r\n"
     ]
    }
   ],
   "source": [
    "ls"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7496eff2",
   "metadata": {},
   "source": [
    "# Load Data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6abb4a16",
   "metadata": {},
   "source": [
    "to download book crossing data: http://www2.informatik.uni-freiburg.de/~cziegler/BX/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0a3fe998",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "b'Skipping line 6452: expected 8 fields, saw 9\\nSkipping line 43667: expected 8 fields, saw 10\\nSkipping line 51751: expected 8 fields, saw 9\\n'\n",
      "b'Skipping line 92038: expected 8 fields, saw 9\\nSkipping line 104319: expected 8 fields, saw 9\\nSkipping line 121768: expected 8 fields, saw 9\\n'\n",
      "b'Skipping line 144058: expected 8 fields, saw 9\\nSkipping line 150789: expected 8 fields, saw 9\\nSkipping line 157128: expected 8 fields, saw 9\\nSkipping line 180189: expected 8 fields, saw 9\\nSkipping line 185738: expected 8 fields, saw 9\\n'\n",
      "b'Skipping line 209388: expected 8 fields, saw 9\\nSkipping line 220626: expected 8 fields, saw 9\\nSkipping line 227933: expected 8 fields, saw 11\\nSkipping line 228957: expected 8 fields, saw 10\\nSkipping line 245933: expected 8 fields, saw 9\\nSkipping line 251296: expected 8 fields, saw 9\\nSkipping line 259941: expected 8 fields, saw 9\\nSkipping line 261529: expected 8 fields, saw 9\\n'\n"
     ]
    }
   ],
   "source": [
    "books = pd.read_csv('BookRecommender/data/BX-CSV-Dump/BX-Books.csv', sep=';', error_bad_lines=False, encoding=\"latin-1\")\n",
    "books.columns = ['ISBN', 'bookTitle', 'bookAuthor', 'yearOfPublication', 'publisher', 'imageUrlS', 'imageUrlM', 'imageUrlL']\n",
    "users = pd.read_csv('BookRecommender/data/BX-CSV-Dump/BX-Users.csv', sep=';', error_bad_lines=False, encoding=\"latin-1\")\n",
    "users.columns = ['userID', 'Location', 'Age']\n",
    "ratings = pd.read_csv('BookRecommender/data/BX-CSV-Dump/BX-Book-Ratings.csv', sep=';', error_bad_lines=False, encoding=\"latin-1\")\n",
    "ratings.columns = ['userID', 'ISBN', 'bookRating']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b28479f7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 271360 entries, 0 to 271359\n",
      "Data columns (total 8 columns):\n",
      " #   Column             Non-Null Count   Dtype \n",
      "---  ------             --------------   ----- \n",
      " 0   ISBN               271360 non-null  object\n",
      " 1   bookTitle          271360 non-null  object\n",
      " 2   bookAuthor         271359 non-null  object\n",
      " 3   yearOfPublication  271360 non-null  object\n",
      " 4   publisher          271358 non-null  object\n",
      " 5   imageUrlS          271360 non-null  object\n",
      " 6   imageUrlM          271360 non-null  object\n",
      " 7   imageUrlL          271357 non-null  object\n",
      "dtypes: object(8)\n",
      "memory usage: 16.6+ MB\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 278858 entries, 0 to 278857\n",
      "Data columns (total 3 columns):\n",
      " #   Column    Non-Null Count   Dtype  \n",
      "---  ------    --------------   -----  \n",
      " 0   userID    278858 non-null  int64  \n",
      " 1   Location  278858 non-null  object \n",
      " 2   Age       168096 non-null  float64\n",
      "dtypes: float64(1), int64(1), object(1)\n",
      "memory usage: 6.4+ MB\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1149780 entries, 0 to 1149779\n",
      "Data columns (total 3 columns):\n",
      " #   Column      Non-Null Count    Dtype \n",
      "---  ------      --------------    ----- \n",
      " 0   userID      1149780 non-null  int64 \n",
      " 1   ISBN        1149780 non-null  object\n",
      " 2   bookRating  1149780 non-null  int64 \n",
      "dtypes: int64(2), object(1)\n",
      "memory usage: 26.3+ MB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None, None, None)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.info(), users.info(), ratings.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "758f0a99",
   "metadata": {},
   "source": [
    "# Clean Data & EDA"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5eb1edaf",
   "metadata": {},
   "source": [
    "### Book data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0f42ac06",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookTitle</th>\n",
       "      <th>bookAuthor</th>\n",
       "      <th>yearOfPublication</th>\n",
       "      <th>publisher</th>\n",
       "      <th>imageUrlS</th>\n",
       "      <th>imageUrlM</th>\n",
       "      <th>imageUrlL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Classical Mythology</td>\n",
       "      <td>Mark P. O. Morford</td>\n",
       "      <td>2002</td>\n",
       "      <td>Oxford University Press</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.01.THUMBZZZ.jpg</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.01.MZZZZZZZ.jpg</td>\n",
       "      <td>http://images.amazon.com/images/P/0195153448.01.LZZZZZZZ.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002005018</td>\n",
       "      <td>Clara Callan</td>\n",
       "      <td>Richard Bruce Wright</td>\n",
       "      <td>2001</td>\n",
       "      <td>HarperFlamingo Canada</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.01.THUMBZZZ.jpg</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.01.MZZZZZZZ.jpg</td>\n",
       "      <td>http://images.amazon.com/images/P/0002005018.01.LZZZZZZZ.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0060973129</td>\n",
       "      <td>Decision in Normandy</td>\n",
       "      <td>Carlo D'Este</td>\n",
       "      <td>1991</td>\n",
       "      <td>HarperPerennial</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.01.THUMBZZZ.jpg</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.01.MZZZZZZZ.jpg</td>\n",
       "      <td>http://images.amazon.com/images/P/0060973129.01.LZZZZZZZ.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0374157065</td>\n",
       "      <td>Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It</td>\n",
       "      <td>Gina Bari Kolata</td>\n",
       "      <td>1999</td>\n",
       "      <td>Farrar Straus Giroux</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.01.THUMBZZZ.jpg</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.01.MZZZZZZZ.jpg</td>\n",
       "      <td>http://images.amazon.com/images/P/0374157065.01.LZZZZZZZ.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0393045218</td>\n",
       "      <td>The Mummies of Urumchi</td>\n",
       "      <td>E. J. W. Barber</td>\n",
       "      <td>1999</td>\n",
       "      <td>W. W. Norton &amp;amp; Company</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.01.THUMBZZZ.jpg</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.01.MZZZZZZZ.jpg</td>\n",
       "      <td>http://images.amazon.com/images/P/0393045218.01.LZZZZZZZ.jpg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         ISBN  \\\n",
       "0  0195153448   \n",
       "1  0002005018   \n",
       "2  0060973129   \n",
       "3  0374157065   \n",
       "4  0393045218   \n",
       "\n",
       "                                                                                            bookTitle  \\\n",
       "0  Classical Mythology                                                                                  \n",
       "1  Clara Callan                                                                                         \n",
       "2  Decision in Normandy                                                                                 \n",
       "3  Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It   \n",
       "4  The Mummies of Urumchi                                                                               \n",
       "\n",
       "             bookAuthor yearOfPublication                   publisher  \\\n",
       "0  Mark P. O. Morford    2002              Oxford University Press      \n",
       "1  Richard Bruce Wright  2001              HarperFlamingo Canada        \n",
       "2  Carlo D'Este          1991              HarperPerennial              \n",
       "3  Gina Bari Kolata      1999              Farrar Straus Giroux         \n",
       "4  E. J. W. Barber       1999              W. W. Norton &amp; Company   \n",
       "\n",
       "                                                      imageUrlS  \\\n",
       "0  http://images.amazon.com/images/P/0195153448.01.THUMBZZZ.jpg   \n",
       "1  http://images.amazon.com/images/P/0002005018.01.THUMBZZZ.jpg   \n",
       "2  http://images.amazon.com/images/P/0060973129.01.THUMBZZZ.jpg   \n",
       "3  http://images.amazon.com/images/P/0374157065.01.THUMBZZZ.jpg   \n",
       "4  http://images.amazon.com/images/P/0393045218.01.THUMBZZZ.jpg   \n",
       "\n",
       "                                                      imageUrlM  \\\n",
       "0  http://images.amazon.com/images/P/0195153448.01.MZZZZZZZ.jpg   \n",
       "1  http://images.amazon.com/images/P/0002005018.01.MZZZZZZZ.jpg   \n",
       "2  http://images.amazon.com/images/P/0060973129.01.MZZZZZZZ.jpg   \n",
       "3  http://images.amazon.com/images/P/0374157065.01.MZZZZZZZ.jpg   \n",
       "4  http://images.amazon.com/images/P/0393045218.01.MZZZZZZZ.jpg   \n",
       "\n",
       "                                                      imageUrlL  \n",
       "0  http://images.amazon.com/images/P/0195153448.01.LZZZZZZZ.jpg  \n",
       "1  http://images.amazon.com/images/P/0002005018.01.LZZZZZZZ.jpg  \n",
       "2  http://images.amazon.com/images/P/0060973129.01.LZZZZZZZ.jpg  \n",
       "3  http://images.amazon.com/images/P/0374157065.01.LZZZZZZZ.jpg  \n",
       "4  http://images.amazon.com/images/P/0393045218.01.LZZZZZZZ.jpg  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6583d1d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookTitle</th>\n",
       "      <th>bookAuthor</th>\n",
       "      <th>yearOfPublication</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Classical Mythology</td>\n",
       "      <td>Mark P. O. Morford</td>\n",
       "      <td>2002</td>\n",
       "      <td>Oxford University Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002005018</td>\n",
       "      <td>Clara Callan</td>\n",
       "      <td>Richard Bruce Wright</td>\n",
       "      <td>2001</td>\n",
       "      <td>HarperFlamingo Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0060973129</td>\n",
       "      <td>Decision in Normandy</td>\n",
       "      <td>Carlo D'Este</td>\n",
       "      <td>1991</td>\n",
       "      <td>HarperPerennial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0374157065</td>\n",
       "      <td>Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It</td>\n",
       "      <td>Gina Bari Kolata</td>\n",
       "      <td>1999</td>\n",
       "      <td>Farrar Straus Giroux</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0393045218</td>\n",
       "      <td>The Mummies of Urumchi</td>\n",
       "      <td>E. J. W. Barber</td>\n",
       "      <td>1999</td>\n",
       "      <td>W. W. Norton &amp;amp; Company</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         ISBN  \\\n",
       "0  0195153448   \n",
       "1  0002005018   \n",
       "2  0060973129   \n",
       "3  0374157065   \n",
       "4  0393045218   \n",
       "\n",
       "                                                                                            bookTitle  \\\n",
       "0  Classical Mythology                                                                                  \n",
       "1  Clara Callan                                                                                         \n",
       "2  Decision in Normandy                                                                                 \n",
       "3  Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It   \n",
       "4  The Mummies of Urumchi                                                                               \n",
       "\n",
       "             bookAuthor yearOfPublication                   publisher  \n",
       "0  Mark P. O. Morford    2002              Oxford University Press     \n",
       "1  Richard Bruce Wright  2001              HarperFlamingo Canada       \n",
       "2  Carlo D'Este          1991              HarperPerennial             \n",
       "3  Gina Bari Kolata      1999              Farrar Straus Giroux        \n",
       "4  E. J. W. Barber       1999              W. W. Norton &amp; Company  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# remove image columns\n",
    "books.drop(['imageUrlS', 'imageUrlM', 'imageUrlL'],axis=1,inplace=True)\n",
    "books.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "be2c0f76",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "       '2003', '1990', '1994', '1986', '1989', '2002', '1981', '1993',\n",
       "       '1983', '1982', '1976', '1991', '1977', '1998', '1992', '1996',\n",
       "       '0', '1997', '2001', '1974', '1968', '1987', '1984', '1988',\n",
       "       '1963', '1956', '1970', '1985', '1978', '1973', '1980', '1979',\n",
       "       '1975', '1969', '1961', '1965', '1939', '1958', '1950', '1953',\n",
       "       '1966', '1971', '1959', '1972', '1955', '1957', '1945', '1960',\n",
       "       '1967', '1932', '1924', '1964', '2012', '1911', '1927', '1948',\n",
       "       '1962', '2006', '1952', '1940', '1951', '1931', '1954', '2005',\n",
       "       '1930', '1941', '1944', 'DK Publishing Inc', '1943', '1938',\n",
       "       '1900', '1942', '1923', '1920', '1933', 'Gallimard', '1909',\n",
       "       '1946', '2008', '1378', '2030', '1936', '1947', '2011', '2020',\n",
       "       '1919', '1949', '1922', '1897', '2024', '1376', '1926', '2037'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.yearOfPublication.unique()\n",
    "# col mixed with string and int"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "92b0eb2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookTitle</th>\n",
       "      <th>bookAuthor</th>\n",
       "      <th>yearOfPublication</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>209538</th>\n",
       "      <td>078946697X</td>\n",
       "      <td>DK Readers: Creating the X-Men, How It All Began (Level 4: Proficient Readers)\\\";Michael Teitelbaum\"</td>\n",
       "      <td>2000</td>\n",
       "      <td>DK Publishing Inc</td>\n",
       "      <td>http://images.amazon.com/images/P/078946697X.01.THUMBZZZ.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220731</th>\n",
       "      <td>2070426769</td>\n",
       "      <td>Peuple du ciel, suivi de 'Les Bergers\\\";Jean-Marie Gustave Le ClÃ?Â©zio\"</td>\n",
       "      <td>2003</td>\n",
       "      <td>Gallimard</td>\n",
       "      <td>http://images.amazon.com/images/P/2070426769.01.THUMBZZZ.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221678</th>\n",
       "      <td>0789466953</td>\n",
       "      <td>DK Readers: Creating the X-Men, How Comic Books Come to Life (Level 4: Proficient Readers)\\\";James Buckley\"</td>\n",
       "      <td>2000</td>\n",
       "      <td>DK Publishing Inc</td>\n",
       "      <td>http://images.amazon.com/images/P/0789466953.01.THUMBZZZ.jpg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              ISBN  \\\n",
       "209538  078946697X   \n",
       "220731  2070426769   \n",
       "221678  0789466953   \n",
       "\n",
       "                                                                                                          bookTitle  \\\n",
       "209538  DK Readers: Creating the X-Men, How It All Began (Level 4: Proficient Readers)\\\";Michael Teitelbaum\"          \n",
       "220731  Peuple du ciel, suivi de 'Les Bergers\\\";Jean-Marie Gustave Le ClÃ?Â©zio\"                                      \n",
       "221678  DK Readers: Creating the X-Men, How Comic Books Come to Life (Level 4: Proficient Readers)\\\";James Buckley\"   \n",
       "\n",
       "       bookAuthor  yearOfPublication  \\\n",
       "209538  2000       DK Publishing Inc   \n",
       "220731  2003       Gallimard           \n",
       "221678  2000       DK Publishing Inc   \n",
       "\n",
       "                                                           publisher  \n",
       "209538  http://images.amazon.com/images/P/078946697X.01.THUMBZZZ.jpg  \n",
       "220731  http://images.amazon.com/images/P/2070426769.01.THUMBZZZ.jpg  \n",
       "221678  http://images.amazon.com/images/P/0789466953.01.THUMBZZZ.jpg  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books.loc[(books.yearOfPublication == 'DK Publishing Inc') | (books.yearOfPublication == 'Gallimard'), :]\n",
    "# cols have shifted "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5f84a366",
   "metadata": {},
   "outputs": [],
   "source": [
    "books.loc[books.ISBN == '078946697X','yearOfPublication'] = 2000\n",
    "books.loc[books.ISBN == '078946697X','bookAuthor'] = \"Michael Teitelbaum\"\n",
    "books.loc[books.ISBN == '078946697X','publisher'] = \"DK Publishing Inc\"\n",
    "books.loc[books.ISBN == '078946697X','bookTitle'] = \"DK Readers: Creating the X-Men, How It All Began (Level 4: Proficient Readers)\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b2192a73",
   "metadata": {},
   "outputs": [],
   "source": [
    "books.loc[books.ISBN == '0789466953','yearOfPublication'] = 2000\n",
    "books.loc[books.ISBN == '0789466953','bookAuthor'] = \"James Buckley\"\n",
    "books.loc[books.ISBN == '0789466953','publisher'] = \"DK Publishing Inc\"\n",
    "books.loc[books.ISBN == '0789466953','bookTitle'] = \"DK Readers: Creating the X-Men, How Comic Books Come to Life (Level 4: Proficient Readers)\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "861b9960",
   "metadata": {},
   "outputs": [],
   "source": [
    "books.loc[books.ISBN == '2070426769','yearOfPublication'] = 2003\n",
    "books.loc[books.ISBN == '2070426769','bookAuthor'] = \"Jean-Marie Gustave Le ClÃ?Â©zio\"\n",
    "books.loc[books.ISBN == '2070426769','publisher'] = \"Gallimard\"\n",
    "books.loc[books.ISBN == '2070426769','bookTitle'] = \"Peuple du ciel, suivi de 'Les Bergers\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3b9edcdc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0, 1376, 1378, 1806, 1897, 1900, 1901, 1902, 1904, 1906, 1908, 1909, 1910, 1911, 1914, 1917, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2008, 2010, 2011, 2012, 2020, 2021, 2024, 2026, 2030, 2037, 2038, 2050]\n"
     ]
    }
   ],
   "source": [
    "#convert some year dtype from string to int\n",
    "books.yearOfPublication = pd.to_numeric(books.yearOfPublication, errors='coerce', downcast=\"integer\")\n",
    "print(sorted(books.yearOfPublication.unique()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5af98ab4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'year of publication')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "books.yearOfPublication.value_counts(ascending=True).tail(20).plot(kind='barh', figsize=(15, 5))\n",
    "plt.xlabel(\"count\")\n",
    "plt.ylabel(\"year of publication\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "2b1ad470",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9829341096698113"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# year between 1800 and 2022 is valid, which is 98% of the data \n",
    "books.loc[(books.yearOfPublication > 0) & (books.yearOfPublication <= 2022)].shape[0] / books.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "80f30ae8",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookTitle</th>\n",
       "      <th>bookAuthor</th>\n",
       "      <th>yearOfPublication</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Classical Mythology</td>\n",
       "      <td>Mark P. O. Morford</td>\n",
       "      <td>2002</td>\n",
       "      <td>Oxford University Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002005018</td>\n",
       "      <td>Clara Callan</td>\n",
       "      <td>Richard Bruce Wright</td>\n",
       "      <td>2001</td>\n",
       "      <td>HarperFlamingo Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0060973129</td>\n",
       "      <td>Decision in Normandy</td>\n",
       "      <td>Carlo D'Este</td>\n",
       "      <td>1991</td>\n",
       "      <td>HarperPerennial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0374157065</td>\n",
       "      <td>Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It</td>\n",
       "      <td>Gina Bari Kolata</td>\n",
       "      <td>1999</td>\n",
       "      <td>Farrar Straus Giroux</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0393045218</td>\n",
       "      <td>The Mummies of Urumchi</td>\n",
       "      <td>E. J. W. Barber</td>\n",
       "      <td>1999</td>\n",
       "      <td>W. W. Norton &amp;amp; Company</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271355</th>\n",
       "      <td>0440400988</td>\n",
       "      <td>There's a Bat in Bunk Five</td>\n",
       "      <td>Paula Danziger</td>\n",
       "      <td>1988</td>\n",
       "      <td>Random House Childrens Pub (Mm)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271356</th>\n",
       "      <td>0525447644</td>\n",
       "      <td>From One to One Hundred</td>\n",
       "      <td>Teri Sloat</td>\n",
       "      <td>1991</td>\n",
       "      <td>Dutton Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271357</th>\n",
       "      <td>006008667X</td>\n",
       "      <td>Lily Dale : The True Story of the Town that Talks to the Dead</td>\n",
       "      <td>Christine Wicker</td>\n",
       "      <td>2004</td>\n",
       "      <td>HarperSanFrancisco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271358</th>\n",
       "      <td>0192126040</td>\n",
       "      <td>Republic (World's Classics)</td>\n",
       "      <td>Plato</td>\n",
       "      <td>1996</td>\n",
       "      <td>Oxford University Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271359</th>\n",
       "      <td>0767409752</td>\n",
       "      <td>A Guided Tour of Rene Descartes' Meditations on First Philosophy with Complete Translations of the Meditations by Ronald Rubin</td>\n",
       "      <td>Christopher  Biffle</td>\n",
       "      <td>2000</td>\n",
       "      <td>McGraw-Hill Humanities/Social Sciences/Languages</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>266729 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ISBN  \\\n",
       "0       0195153448   \n",
       "1       0002005018   \n",
       "2       0060973129   \n",
       "3       0374157065   \n",
       "4       0393045218   \n",
       "...            ...   \n",
       "271355  0440400988   \n",
       "271356  0525447644   \n",
       "271357  006008667X   \n",
       "271358  0192126040   \n",
       "271359  0767409752   \n",
       "\n",
       "                                                                                                                             bookTitle  \\\n",
       "0       Classical Mythology                                                                                                              \n",
       "1       Clara Callan                                                                                                                     \n",
       "2       Decision in Normandy                                                                                                             \n",
       "3       Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It                               \n",
       "4       The Mummies of Urumchi                                                                                                           \n",
       "...                        ...                                                                                                           \n",
       "271355  There's a Bat in Bunk Five                                                                                                       \n",
       "271356  From One to One Hundred                                                                                                          \n",
       "271357  Lily Dale : The True Story of the Town that Talks to the Dead                                                                    \n",
       "271358  Republic (World's Classics)                                                                                                      \n",
       "271359  A Guided Tour of Rene Descartes' Meditations on First Philosophy with Complete Translations of the Meditations by Ronald Rubin   \n",
       "\n",
       "                  bookAuthor  yearOfPublication  \\\n",
       "0       Mark P. O. Morford    2002                \n",
       "1       Richard Bruce Wright  2001                \n",
       "2       Carlo D'Este          1991                \n",
       "3       Gina Bari Kolata      1999                \n",
       "4       E. J. W. Barber       1999                \n",
       "...                 ...        ...                \n",
       "271355  Paula Danziger        1988                \n",
       "271356  Teri Sloat            1991                \n",
       "271357  Christine Wicker      2004                \n",
       "271358  Plato                 1996                \n",
       "271359  Christopher  Biffle   2000                \n",
       "\n",
       "                                               publisher  \n",
       "0       Oxford University Press                           \n",
       "1       HarperFlamingo Canada                             \n",
       "2       HarperPerennial                                   \n",
       "3       Farrar Straus Giroux                              \n",
       "4       W. W. Norton &amp; Company                        \n",
       "...                            ...                        \n",
       "271355  Random House Childrens Pub (Mm)                   \n",
       "271356  Dutton Books                                      \n",
       "271357  HarperSanFrancisco                                \n",
       "271358  Oxford University Press                           \n",
       "271359  McGraw-Hill Humanities/Social Sciences/Languages  \n",
       "\n",
       "[266729 rows x 5 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books_filtered = books[(books.yearOfPublication > 0) & (books.yearOfPublication <= 2022)]\n",
    "books_filtered "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "d4792ef0",
   "metadata": {},
   "outputs": [],
   "source": [
    "#strip leading and trail spaces in book titles\n",
    "books_filtered.bookTitle = books_filtered.bookTitle.str.strip()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "a590fb13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookTitle</th>\n",
       "      <th>bookAuthor</th>\n",
       "      <th>yearOfPublication</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Classical Mythology</td>\n",
       "      <td>Mark P. O. Morford</td>\n",
       "      <td>2002</td>\n",
       "      <td>Oxford University Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002005018</td>\n",
       "      <td>Clara Callan</td>\n",
       "      <td>Richard Bruce Wright</td>\n",
       "      <td>2001</td>\n",
       "      <td>HarperFlamingo Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0060973129</td>\n",
       "      <td>Decision in Normandy</td>\n",
       "      <td>Carlo D'Este</td>\n",
       "      <td>1991</td>\n",
       "      <td>HarperPerennial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0374157065</td>\n",
       "      <td>Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It</td>\n",
       "      <td>Gina Bari Kolata</td>\n",
       "      <td>1999</td>\n",
       "      <td>Farrar Straus Giroux</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0393045218</td>\n",
       "      <td>The Mummies of Urumchi</td>\n",
       "      <td>E. J. W. Barber</td>\n",
       "      <td>1999</td>\n",
       "      <td>W. W. Norton &amp;amp; Company</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271355</th>\n",
       "      <td>0440400988</td>\n",
       "      <td>There's a Bat in Bunk Five</td>\n",
       "      <td>Paula Danziger</td>\n",
       "      <td>1988</td>\n",
       "      <td>Random House Childrens Pub (Mm)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271356</th>\n",
       "      <td>0525447644</td>\n",
       "      <td>From One to One Hundred</td>\n",
       "      <td>Teri Sloat</td>\n",
       "      <td>1991</td>\n",
       "      <td>Dutton Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271357</th>\n",
       "      <td>006008667X</td>\n",
       "      <td>Lily Dale : The True Story of the Town that Talks to the Dead</td>\n",
       "      <td>Christine Wicker</td>\n",
       "      <td>2004</td>\n",
       "      <td>HarperSanFrancisco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271358</th>\n",
       "      <td>0192126040</td>\n",
       "      <td>Republic (World's Classics)</td>\n",
       "      <td>Plato</td>\n",
       "      <td>1996</td>\n",
       "      <td>Oxford University Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271359</th>\n",
       "      <td>0767409752</td>\n",
       "      <td>A Guided Tour of Rene Descartes' Meditations on First Philosophy with Complete Translations of the Meditations by Ronald Rubin</td>\n",
       "      <td>Christopher  Biffle</td>\n",
       "      <td>2000</td>\n",
       "      <td>McGraw-Hill Humanities/Social Sciences/Languages</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>266726 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ISBN  \\\n",
       "0       0195153448   \n",
       "1       0002005018   \n",
       "2       0060973129   \n",
       "3       0374157065   \n",
       "4       0393045218   \n",
       "...            ...   \n",
       "271355  0440400988   \n",
       "271356  0525447644   \n",
       "271357  006008667X   \n",
       "271358  0192126040   \n",
       "271359  0767409752   \n",
       "\n",
       "                                                                                                                             bookTitle  \\\n",
       "0       Classical Mythology                                                                                                              \n",
       "1       Clara Callan                                                                                                                     \n",
       "2       Decision in Normandy                                                                                                             \n",
       "3       Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It                               \n",
       "4       The Mummies of Urumchi                                                                                                           \n",
       "...                        ...                                                                                                           \n",
       "271355  There's a Bat in Bunk Five                                                                                                       \n",
       "271356  From One to One Hundred                                                                                                          \n",
       "271357  Lily Dale : The True Story of the Town that Talks to the Dead                                                                    \n",
       "271358  Republic (World's Classics)                                                                                                      \n",
       "271359  A Guided Tour of Rene Descartes' Meditations on First Philosophy with Complete Translations of the Meditations by Ronald Rubin   \n",
       "\n",
       "                  bookAuthor  yearOfPublication  \\\n",
       "0       Mark P. O. Morford    2002                \n",
       "1       Richard Bruce Wright  2001                \n",
       "2       Carlo D'Este          1991                \n",
       "3       Gina Bari Kolata      1999                \n",
       "4       E. J. W. Barber       1999                \n",
       "...                 ...        ...                \n",
       "271355  Paula Danziger        1988                \n",
       "271356  Teri Sloat            1991                \n",
       "271357  Christine Wicker      2004                \n",
       "271358  Plato                 1996                \n",
       "271359  Christopher  Biffle   2000                \n",
       "\n",
       "                                               publisher  \n",
       "0       Oxford University Press                           \n",
       "1       HarperFlamingo Canada                             \n",
       "2       HarperPerennial                                   \n",
       "3       Farrar Straus Giroux                              \n",
       "4       W. W. Norton &amp; Company                        \n",
       "...                            ...                        \n",
       "271355  Random House Childrens Pub (Mm)                   \n",
       "271356  Dutton Books                                      \n",
       "271357  HarperSanFrancisco                                \n",
       "271358  Oxford University Press                           \n",
       "271359  McGraw-Hill Humanities/Social Sciences/Languages  \n",
       "\n",
       "[266726 rows x 5 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#cast dtype\n",
    "books_filtered.ISBN.astype(str)\n",
    "books_filtered.bookTitle.astype(str)\n",
    "books_filtered.bookAuthor.astype(str)\n",
    "books_filtered.bookAuthor.astype(str)\n",
    "\n",
    "#drop 1 null value in bookAuthor and 2 null value in publisher\n",
    "books_filtered = books_filtered[(~books_filtered.bookAuthor.isnull()) & (~books_filtered.publisher.isnull())]\n",
    "books_filtered"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d575710",
   "metadata": {},
   "source": [
    "### User data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d15df7d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userID</th>\n",
       "      <th>Location</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>nyc, new york, usa</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>stockton, california, usa</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>moscow, yukon territory, russia</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>porto, v.n.gaia, portugal</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>farnborough, hants, united kingdom</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   userID                            Location   Age\n",
       "0  1       nyc, new york, usa                 NaN  \n",
       "1  2       stockton, california, usa           18.0\n",
       "2  3       moscow, yukon territory, russia    NaN  \n",
       "3  4       porto, v.n.gaia, portugal           17.0\n",
       "4  5       farnborough, hants, united kingdom NaN  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "404249d5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 278858 entries, 0 to 278857\n",
      "Data columns (total 3 columns):\n",
      " #   Column    Non-Null Count   Dtype  \n",
      "---  ------    --------------   -----  \n",
      " 0   userID    278858 non-null  int64  \n",
      " 1   Location  278858 non-null  object \n",
      " 2   Age       168096 non-null  float64\n",
      "dtypes: float64(1), int64(1), object(1)\n",
      "memory usage: 6.4+ MB\n"
     ]
    }
   ],
   "source": [
    "users.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8582c21f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[nan, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0, 25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0, 37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0, 49.0, 50.0, 51.0, 52.0, 53.0, 54.0, 55.0, 56.0, 57.0, 58.0, 59.0, 60.0, 61.0, 62.0, 63.0, 64.0, 65.0, 66.0, 67.0, 68.0, 69.0, 70.0, 71.0, 72.0, 73.0, 74.0, 75.0, 76.0, 77.0, 78.0, 79.0, 80.0, 81.0, 82.0, 83.0, 84.0, 85.0, 86.0, 87.0, 88.0, 89.0, 90.0, 91.0, 92.0, 93.0, 94.0, 95.0, 96.0, 97.0, 98.0, 99.0, 100.0, 101.0, 102.0, 103.0, 104.0, 105.0, 106.0, 107.0, 108.0, 109.0, 110.0, 111.0, 113.0, 114.0, 115.0, 116.0, 118.0, 119.0, 123.0, 124.0, 127.0, 128.0, 132.0, 133.0, 136.0, 137.0, 138.0, 140.0, 141.0, 143.0, 146.0, 147.0, 148.0, 151.0, 152.0, 156.0, 157.0, 159.0, 162.0, 168.0, 172.0, 175.0, 183.0, 186.0, 189.0, 199.0, 200.0, 201.0, 204.0, 207.0, 208.0, 209.0, 210.0, 212.0, 219.0, 220.0, 223.0, 226.0, 228.0, 229.0, 230.0, 231.0, 237.0, 239.0, 244.0]\n"
     ]
    }
   ],
   "source": [
    "print(sorted(users.Age.unique()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "65af1c24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34.77712242216236"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.loc[(users.Age > 100) | (users.Age < 10), 'Age'] = np.nan\n",
    "users.Age.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f416ecd3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#replacing NaNs with user age mean, so we can still use the ratings \n",
    "users.Age = users.Age.fillna(users.Age.mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "685e8ce4",
   "metadata": {},
   "outputs": [],
   "source": [
    "users.Age = users.Age.astype(np.int32)\n",
    "users.Location = users.Location.astype(str)\n",
    "users.userID = users.userID.astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8fa5a82e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'age')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "users.Age.value_counts(ascending=True).head(50).plot(kind='barh', figsize=(20, 15))\n",
    "plt.xlabel(\"count\")\n",
    "plt.ylabel(\"age\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "38c3aeed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "57339"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.Location.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "4e787ce4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "london, england, united kingdom                  2506\n",
       "toronto, ontario, canada                         2250\n",
       "sydney, new south wales, australia               1744\n",
       "melbourne, victoria, australia                   1708\n",
       "portland, oregon, usa                            1629\n",
       "                                                 ... \n",
       "gneisenaustr. 3, nordrhein-westfalen, germany    1   \n",
       "-, bayern, germany                               1   \n",
       "bouchegouf, guelma, algeria                      1   \n",
       "indiana and philadelphia, pennsylvania, usa      1   \n",
       "tacoma, washington, united kingdom               1   \n",
       "Name: Location, Length: 57339, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users.Location.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "f716f2e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userID</th>\n",
       "      <th>Location</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3095</th>\n",
       "      <td>3096</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10646</th>\n",
       "      <td>10647</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11675</th>\n",
       "      <td>11676</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61592</th>\n",
       "      <td>61593</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70062</th>\n",
       "      <td>70063</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86150</th>\n",
       "      <td>86151</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119402</th>\n",
       "      <td>119403</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123570</th>\n",
       "      <td>123571</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184324</th>\n",
       "      <td>184325</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238301</th>\n",
       "      <td>238302</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271681</th>\n",
       "      <td>271682</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        userID       Location  Age\n",
       "3095    3096    n/a, n/a, n/a  34 \n",
       "10646   10647   n/a, n/a, n/a  34 \n",
       "11675   11676   n/a, n/a, n/a  34 \n",
       "61592   61593   n/a, n/a, n/a  34 \n",
       "70062   70063   n/a, n/a, n/a  34 \n",
       "86150   86151   n/a, n/a, n/a  60 \n",
       "119402  119403  n/a, n/a, n/a  15 \n",
       "123570  123571  n/a, n/a, n/a  34 \n",
       "184324  184325  n/a, n/a, n/a  34 \n",
       "238301  238302  n/a, n/a, n/a  30 \n",
       "271681  271682  n/a, n/a, n/a  34 "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users[users.Location == (\"n/a, n/a, n/a\")]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "7eed20a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'location')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "users.Location.value_counts(ascending=True).tail(20).plot(kind='barh', figsize=(20, 10))\n",
    "plt.xlabel(\"count\")\n",
    "plt.ylabel(\"location\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2986ccb7",
   "metadata": {},
   "source": [
    "### Rating data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "9587d5c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userID</th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookRating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>276725</td>\n",
       "      <td>034545104X</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>276726</td>\n",
       "      <td>0155061224</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>276727</td>\n",
       "      <td>0446520802</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>276729</td>\n",
       "      <td>052165615X</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>276729</td>\n",
       "      <td>0521795028</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   userID        ISBN  bookRating\n",
       "0  276725  034545104X  0         \n",
       "1  276726  0155061224  5         \n",
       "2  276727  0446520802  0         \n",
       "3  276729  052165615X  3         \n",
       "4  276729  0521795028  6         "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "62619a51",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1149780 entries, 0 to 1149779\n",
      "Data columns (total 3 columns):\n",
      " #   Column      Non-Null Count    Dtype \n",
      "---  ------      --------------    ----- \n",
      " 0   userID      1149780 non-null  int64 \n",
      " 1   ISBN        1149780 non-null  object\n",
      " 2   bookRating  1149780 non-null  int64 \n",
      "dtypes: int64(2), object(1)\n",
      "memory usage: 26.3+ MB\n"
     ]
    }
   ],
   "source": [
    "ratings.info() #no nulls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "80c6cadd",
   "metadata": {},
   "outputs": [],
   "source": [
    "ratings.userID = ratings.userID.astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3c09aacb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'User ID')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# who are the users give the most ratings?\n",
    "ratings.userID.value_counts(ascending = True).tail(15).plot(kind='barh', figsize=(20, 10))\n",
    "plt.xlabel(\"count\")\n",
    "plt.ylabel(\"User ID\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "05dafca9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13602, 13602)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings[ratings.userID == '11676'].ISBN.nunique(), ratings[ratings.userID == '11676'].ISBN.count()\n",
    "## ALL unique books"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "cf41c3ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     5078\n",
       "8     2138\n",
       "7     1597\n",
       "10    1287\n",
       "9     1038\n",
       "6     873 \n",
       "5     835 \n",
       "4     294 \n",
       "3     217 \n",
       "1     133 \n",
       "2     112 \n",
       "Name: bookRating, dtype: int64"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# who is userID 11676?\n",
    "ratings[ratings.userID == '11676'].bookRating.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "3ccc7893",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userID</th>\n",
       "      <th>Location</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11675</th>\n",
       "      <td>11676</td>\n",
       "      <td>n/a, n/a, n/a</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      userID       Location  Age\n",
       "11675  11676  n/a, n/a, n/a  34 "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users[users.userID == '11676']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "5662ee2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     716109\n",
       "8     103736\n",
       "10    78610 \n",
       "7     76457 \n",
       "9     67541 \n",
       "5     50974 \n",
       "6     36924 \n",
       "4     8904  \n",
       "3     5996  \n",
       "2     2759  \n",
       "1     1770  \n",
       "Name: bookRating, dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#overall ratings\n",
    "ratings.bookRating.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "b790c9a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'rating')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ratings.bookRating.value_counts(ascending = True).head(15).plot(kind='barh', figsize=(20, 10))\n",
    "plt.xlabel(\"count\")\n",
    "plt.ylabel(\"rating\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9f8beb8",
   "metadata": {},
   "source": [
    "### Corss check data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "6b315fc4",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# filter the users who give ratings are also in the user table\n",
    "ratings_filtered = ratings[ratings.userID.isin(users.userID)]\n",
    "ratings_filtered.shape[0]/ ratings.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "4f1ffeed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8845779192541182"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# filter that the books in ratings are also in book table\n",
    "ratings_filtered = ratings_filtered[ratings_filtered.ISBN.isin(books_filtered.ISBN)]\n",
    "ratings_filtered.shape[0]/ratings.shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3740bcba",
   "metadata": {},
   "source": [
    "# Check Sparsity"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9a1b424",
   "metadata": {},
   "source": [
    "### Original size:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "fe78944c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Num of users:  278858\n",
      "Num of books:  271360\n",
      "size of the user-item matrix:  75670906880\n"
     ]
    }
   ],
   "source": [
    "#size of the user to book matrix: \n",
    "print(\"Num of users: \", users.shape[0])\n",
    "print(\"Num of books: \", books.shape[0])\n",
    "print(\"size of the user-item matrix: \", users.shape[0] * books.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "3f0b5480",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the rating matrix has  99.99865592994463 % of sparsity\n"
     ]
    }
   ],
   "source": [
    "#calculate the parsity of matrix\n",
    "sparsity = 1 - ratings_filtered.shape[0] / (users.shape[0] * books.shape[0])\n",
    "print(\"the rating matrix has \", str(sparsity*100) + \" % of sparsity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44cb8050",
   "metadata": {},
   "source": [
    "### After filter books and users size:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "c06b834f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Num of users:  90679\n",
      "Num of books:  265538\n",
      "size of the user-item matrix:  24078720302\n"
     ]
    }
   ],
   "source": [
    "#size of the user to book matrix: \n",
    "print(\"Num of users: \", ratings_filtered.userID.nunique())\n",
    "print(\"Num of books: \", ratings_filtered.ISBN.nunique())\n",
    "print(\"size of the user-item matrix: \", ratings_filtered.userID.nunique() * ratings_filtered.ISBN.nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "7e891090",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the rating matrix has  99.99577606290018 % of sparsity\n"
     ]
    }
   ],
   "source": [
    "#calculate the parsity of matrix\n",
    "sparsity = 1 - ratings_filtered.shape[0] / (ratings_filtered.userID.nunique() * ratings_filtered.ISBN.nunique())\n",
    "print(\"the rating matrix has \", str(sparsity*100) + \" % of sparsity\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b245dabd",
   "metadata": {},
   "source": [
    "### implicit rating vs. explict ratings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "a1438eb3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# We dont know if 0 means user didnt rate or rated extremly low \n",
    "ratings_explicit = ratings_filtered[ratings_filtered.bookRating != 0]\n",
    "ratings_implicit = ratings_filtered[ratings_filtered.bookRating == 0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "a1c9bc14",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "% explicit rating:  37.0\n",
      "% implicit rating:  63.0\n"
     ]
    }
   ],
   "source": [
    "# ration of explicit ratings and implicit ratings\n",
    "print(\"% explicit rating: \", round(ratings_explicit.shape[0]/ratings_filtered.shape[0] *100, 0))\n",
    "print(\"% implicit rating: \", round(ratings_implicit.shape[0]/ratings_filtered.shape[0] *100, 0))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "7a98d22e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#for explicit \n",
    "sns.countplot(data=ratings_explicit , x='bookRating')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b71b2250",
   "metadata": {},
   "source": [
    "# Prepare user-item matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da25e5d1",
   "metadata": {},
   "source": [
    "### Use explicit rating to bnuild matrix to \n",
    "- remove noisy pattern and computer resources due to large datasets, we will filter our dataframe of ratings to only popular movies.\n",
    "    - the ratings by users rated >100 books\n",
    "    - and the books have been rated >= 1000 times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "7ee3188d",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>userID</th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookRating</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>276726</td>\n",
       "      <td>0155061224</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>276729</td>\n",
       "      <td>052165615X</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>276729</td>\n",
       "      <td>0521795028</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>276744</td>\n",
       "      <td>038550120X</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>276747</td>\n",
       "      <td>0060517794</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149771</th>\n",
       "      <td>276704</td>\n",
       "      <td>0743211383</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149773</th>\n",
       "      <td>276704</td>\n",
       "      <td>0806917695</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149775</th>\n",
       "      <td>276704</td>\n",
       "      <td>1563526298</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149777</th>\n",
       "      <td>276709</td>\n",
       "      <td>0515107662</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149778</th>\n",
       "      <td>276721</td>\n",
       "      <td>0590442449</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>378032 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         userID        ISBN  bookRating\n",
       "1        276726  0155061224  5         \n",
       "3        276729  052165615X  3         \n",
       "4        276729  0521795028  6         \n",
       "8        276744  038550120X  7         \n",
       "16       276747  0060517794  9         \n",
       "...         ...         ... ..         \n",
       "1149771  276704  0743211383  7         \n",
       "1149773  276704  0806917695  5         \n",
       "1149775  276704  1563526298  9         \n",
       "1149777  276709  0515107662  10        \n",
       "1149778  276721  0590442449  10        \n",
       "\n",
       "[378032 rows x 3 columns]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_explicit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "8c764751",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "67073"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_explicit.userID.nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "0ea34f16",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11676     6782\n",
       "98391     5689\n",
       "189835    1898\n",
       "153662    1833\n",
       "23902     1102\n",
       "          ... \n",
       "114746    1   \n",
       "114757    1   \n",
       "114767    1   \n",
       "114771    1   \n",
       "276721    1   \n",
       "Name: userID, Length: 67073, dtype: int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_count = ratings_explicit['userID'].value_counts()\n",
    "user_count \n",
    "# not all users rated a lot of books"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "cc7229ba",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11676     6782\n",
       "98391     5689\n",
       "189835    1898\n",
       "153662    1833\n",
       "23902     1102\n",
       "          ... \n",
       "208406    100 \n",
       "36609     100 \n",
       "169682    100 \n",
       "26544     100 \n",
       "95010     100 \n",
       "Name: userID, Length: 438, dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "user_count[user_count >= 100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "fa499e2a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "         userID        ISBN  bookRating\n",
       "1456     277427  002542730X  10        \n",
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       "1461     277427  0060006641  10        \n",
       "1465     277427  0060542128  7         \n",
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       "1147611  275970  3411086211  10        \n",
       "1147615  275970  9626340762  8         \n",
       "\n",
       "[101119 rows x 3 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_explicit = ratings_explicit[ratings_explicit['userID'].isin(user_count[user_count >= 100].index)]\n",
    "ratings_explicit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "7f37f568",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "438"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_explicit['userID'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "bacfcee6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0316666343    71\n",
       "0385504209    47\n",
       "059035342X    46\n",
       "043935806X    46\n",
       "0312195516    44\n",
       "              ..\n",
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       "0767901991    1 \n",
       "0767908236    1 \n",
       "0804108633    1 \n",
       "9626340762    1 \n",
       "Name: ISBN, Length: 64967, dtype: int64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "book_count = ratings_explicit['ISBN'].value_counts()\n",
    "book_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "6842b503",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0316666343    71\n",
       "0385504209    47\n",
       "059035342X    46\n",
       "043935806X    46\n",
       "0312195516    44\n",
       "              ..\n",
       "0671041789    20\n",
       "044651652X    20\n",
       "0446606812    20\n",
       "0385335482    20\n",
       "0345342968    20\n",
       "Name: ISBN, Length: 100, dtype: int64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "book_count[book_count >= 20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "ac638dfe",
   "metadata": {},
   "outputs": [
    {
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       "</table>\n",
       "<p>2656 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         userID        ISBN  bookRating\n",
       "1474     277427  0061009059  9         \n",
       "1522     277427  0316776963  8         \n",
       "1584     277427  0385504209  8         \n",
       "1601     277427  0399501487  9         \n",
       "1647     277427  0440224764  7         \n",
       "...         ...         ... ..         \n",
       "1140518  274301  0553280368  10        \n",
       "1140556  274301  068484267X  10        \n",
       "1146422  275970  014029628X  9         \n",
       "1146737  275970  0385722206  10        \n",
       "1146852  275970  044651652X  6         \n",
       "\n",
       "[2656 rows x 3 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_explicit = ratings_explicit[ratings_explicit['ISBN'].isin(book_count[book_count >= 20].index)]\n",
    "ratings_explicit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "d33d6aa2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(385, 100)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_explicit.userID.nunique(), ratings_explicit.ISBN.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87644057",
   "metadata": {},
   "source": [
    "### Creating ratings matrix from explicit ratings: NaN means this user hasn't rated this book"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "82be6ec4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>10.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "</table>\n",
       "<p>5 rows × 100 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "ISBN    0060392452  0060928336  0060934417  0060976845  0060987103  \\\n",
       "userID                                                               \n",
       "100459  9.0        NaN         NaN         NaN         NaN           \n",
       "100906 NaN         NaN         NaN         NaN         NaN           \n",
       "101209 NaN         NaN         NaN         NaN         NaN           \n",
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       "\n",
       "ISBN    0061009059  0064407667  014028009X  014029628X  0142001740  ...  \\\n",
       "userID                                                              ...   \n",
       "100459 NaN         NaN         NaN         NaN         NaN          ...   \n",
       "100906 NaN         NaN         NaN         NaN         NaN          ...   \n",
       "101209 NaN         NaN         NaN         NaN         NaN          ...   \n",
       "101606 NaN         NaN         NaN         NaN         NaN          ...   \n",
       "101851 NaN         NaN         NaN         NaN         NaN          ...   \n",
       "\n",
       "ISBN    0743418174  0786868716  080410526X  0804106304  0805063897  \\\n",
       "userID                                                               \n",
       "100459 NaN         NaN         NaN         NaN         NaN           \n",
       "100906 NaN         NaN         NaN         NaN         NaN           \n",
       "101209 NaN         NaN         NaN         NaN         NaN           \n",
       "101606 NaN         NaN         NaN         NaN         NaN           \n",
       "101851 NaN         NaN         NaN          10.0       NaN           \n",
       "\n",
       "ISBN    0842329129  0971880107  1400031354  1400034779  1558744150  \n",
       "userID                                                              \n",
       "100459 NaN         NaN         NaN         NaN         NaN          \n",
       "100906 NaN         NaN         NaN         NaN         NaN          \n",
       "101209 NaN         NaN         NaN         NaN         NaN          \n",
       "101606 NaN         NaN         NaN         NaN         NaN          \n",
       "101851 NaN         NaN         NaN         NaN         NaN          \n",
       "\n",
       "[5 rows x 100 columns]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_matrix = ratings_explicit.pivot(index='userID', columns='ISBN', values='bookRating')\n",
    "userID = ratings_matrix.index\n",
    "ISBN = ratings_matrix.columns\n",
    "ratings_matrix.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "f7d23bd3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(385, 100)\n"
     ]
    }
   ],
   "source": [
    "print(ratings_matrix.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d3a83e3",
   "metadata": {},
   "source": [
    "### Size of final matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "9ca9dc12",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Num of users in matrix:  385\n",
      "Num of books in matrix:  100\n",
      "size of the final user-item matrix:  148225\n"
     ]
    }
   ],
   "source": [
    "#new size of the user to book matrix: \n",
    "print(\"Num of users in matrix: \", ratings_matrix.shape[0])\n",
    "print(\"Num of books in matrix: \", ratings_matrix.shape[1])\n",
    "print(\"size of the final user-item matrix: \", ratings_matrix.shape[0] * ratings_matrix.shape[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dbc114b2",
   "metadata": {},
   "source": [
    "### Fillna and transpose\n",
    "- we can't use NaNs to train the model, since we need to use non-zero numbers to calculate the similarities. so we replace them by 0\n",
    "- transpose the matrix for modeling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "380adb39",
   "metadata": {},
   "outputs": [],
   "source": [
    "ratings_matrix.fillna(0, inplace = True)\n",
    "ratings_matrix = ratings_matrix.astype(np.int32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "1ab3a63f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>ISBN</th>\n",
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      ],
      "text/plain": [
       "ISBN    0060392452  0060928336  0060934417  0060976845  0060987103  \\\n",
       "userID                                                               \n",
       "100459  9           0           0           0           0            \n",
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       "101851  0           0           0           0           0            \n",
       "...    ..          ..          ..          ..          ..            \n",
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       "\n",
       "ISBN    0061009059  0064407667  014028009X  014029628X  0142001740  ...  \\\n",
       "userID                                                              ...   \n",
       "100459  0           0           0           0           0           ...   \n",
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       "\n",
       "ISBN    0743418174  0786868716  080410526X  0804106304  0805063897  \\\n",
       "userID                                                               \n",
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       "\n",
       "ISBN    0842329129  0971880107  1400031354  1400034779  1558744150  \n",
       "userID                                                              \n",
       "100459  0           0           0           0           0           \n",
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       "\n",
       "[385 rows x 100 columns]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_matrix"
   ]
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       "userID      100459  100906  101209  101606  101851  102647  102702  102967  \\\n",
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       "\n",
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     },
     "execution_count": 63,
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   ],
   "source": [
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  {
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>0842329129</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0971880107</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1400031354</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1400034779</th>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>1558744150</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 385 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "userID      100459  100906  101209  101606  101851  102647  102702  102967  \\\n",
       "ISBN                                                                         \n",
       "0060392452  9       0       0       0       0       0       0       0        \n",
       "0060928336  0       0       0       8       0       0       0       0        \n",
       "0060934417  0       0       0       0       0       0       0       0        \n",
       "0060976845  0       0       0       6       0       0       0       0        \n",
       "0060987103  0       0       0       0       0       0       0       0        \n",
       "...        ..      ..      ..      ..      ..      ..      ..      ..        \n",
       "0842329129  0       0       0       0       0       0       0       0        \n",
       "0971880107  0       0       0       0       0       0       0       0        \n",
       "1400031354  0       0       0       0       0       0       0       0        \n",
       "1400034779  0       0       0       0       0       0       0       0        \n",
       "1558744150  0       0       0       0       0       0       0       0        \n",
       "\n",
       "userID      104399  104636  ...  94853  94951  95010  95359  95932  96448  \\\n",
       "ISBN                        ...                                             \n",
       "0060392452  0       0       ...  0      0      0      10     0      0       \n",
       "0060928336  0       0       ...  0      0      0      0      8      0       \n",
       "0060934417  0       0       ...  0      0      0      9      0      0       \n",
       "0060976845  0       0       ...  0      0      0      7      0      0       \n",
       "0060987103  0       0       ...  0      0      0      0      0      8       \n",
       "...        ..      ..       ... ..     ..     ..     ..     ..     ..       \n",
       "0842329129  0       0       ...  0      0      0      0      0      0       \n",
       "0971880107  0       0       ...  6      0      0      0      0      0       \n",
       "1400031354  0       0       ...  0      0      0      9      0      0       \n",
       "1400034779  0       0       ...  0      0      0      0      0      0       \n",
       "1558744150  0       5       ...  0      0      0      0      0      0       \n",
       "\n",
       "userID      97754  97874  98391  98758  \n",
       "ISBN                                    \n",
       "0060392452  0      10     0      0      \n",
       "0060928336  0      0      0      0      \n",
       "0060934417  0      0      0      0      \n",
       "0060976845  0      0      0      0      \n",
       "0060987103  0      0      0      0      \n",
       "...        ..     ..     ..     ..      \n",
       "0842329129  0      0      0      0      \n",
       "0971880107  0      0      0      0      \n",
       "1400031354  0      0      0      0      \n",
       "1400034779  0      0      0      0      \n",
       "1558744150  0      0      0      0      \n",
       "\n",
       "[100 rows x 385 columns]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_matrix_pivot = ratings_matrix.T\n",
    "ratings_matrix_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "79f2294d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>userID</th>\n",
       "      <th>Location</th>\n",
       "      <th>Age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100458</th>\n",
       "      <td>100459</td>\n",
       "      <td>bay area, california, usa</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        userID                   Location  Age\n",
       "100458  100459  bay area, california, usa  38 "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "users[users.userID == \"100459\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "e185c81a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookTitle</th>\n",
       "      <th>bookAuthor</th>\n",
       "      <th>yearOfPublication</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>254249</th>\n",
       "      <td>0000913154</td>\n",
       "      <td>The Way Things Work: An Illustrated Encyclopedia of Technology</td>\n",
       "      <td>C. van Amerongen (translator)</td>\n",
       "      <td>1967</td>\n",
       "      <td>Simon &amp;amp; Schuster</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              ISBN  \\\n",
       "254249  0000913154   \n",
       "\n",
       "                                                             bookTitle  \\\n",
       "254249  The Way Things Work: An Illustrated Encyclopedia of Technology   \n",
       "\n",
       "                           bookAuthor  yearOfPublication             publisher  \n",
       "254249  C. van Amerongen (translator)  1967               Simon &amp; Schuster  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books_filtered[books_filtered.ISBN == \"0000913154\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "891f1a30",
   "metadata": {},
   "source": [
    "### Use book title instead of ISBN\n",
    "- rating matrix join book table"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "0ba54e7b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th>userID</th>\n",
       "      <th>100459</th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Stupid White Men ...and Other Sorry Excuses for the State of the Nation!</th>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Divine Secrets of the Ya-Ya Sisterhood: A Novel</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bel Canto: A Novel</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Altars Everywhere: A Novel</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wicked: The Life and Times of the Wicked Witch of the West</th>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wild Animus</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tears of the Giraffe (No.1 Ladies Detective Agency)</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>The No. 1 Ladies' Detective Agency (Today Show Book Club #8)</th>\n",
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       "</table>\n",
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       "</div>"
      ],
      "text/plain": [
       "userID                                                                        100459  \\\n",
       "bookTitle                                                                              \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      9        \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0        \n",
       "Bel Canto: A Novel                                                            0        \n",
       "Little Altars Everywhere: A Novel                                             0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0        \n",
       "...                                                                          ..        \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0        \n",
       "Wild Animus                                                                   0        \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0        \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0        \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0        \n",
       "\n",
       "userID                                                                        100906  \\\n",
       "bookTitle                                                                              \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0        \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0        \n",
       "Bel Canto: A Novel                                                            0        \n",
       "Little Altars Everywhere: A Novel                                             0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0        \n",
       "...                                                                          ..        \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0        \n",
       "Wild Animus                                                                   0        \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0        \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0        \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0        \n",
       "\n",
       "userID                                                                        101209  \\\n",
       "bookTitle                                                                              \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0        \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0        \n",
       "Bel Canto: A Novel                                                            0        \n",
       "Little Altars Everywhere: A Novel                                             0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0        \n",
       "...                                                                          ..        \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0        \n",
       "Wild Animus                                                                   0        \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0        \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0        \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0        \n",
       "\n",
       "userID                                                                        101606  \\\n",
       "bookTitle                                                                              \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0        \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               8        \n",
       "Bel Canto: A Novel                                                            0        \n",
       "Little Altars Everywhere: A Novel                                             6        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0        \n",
       "...                                                                          ..        \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0        \n",
       "Wild Animus                                                                   0        \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0        \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0        \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0        \n",
       "\n",
       "userID                                                                        101851  \\\n",
       "bookTitle                                                                              \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0        \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0        \n",
       "Bel Canto: A Novel                                                            0        \n",
       "Little Altars Everywhere: A Novel                                             0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0        \n",
       "...                                                                          ..        \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0        \n",
       "Wild Animus                                                                   0        \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0        \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0        \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0        \n",
       "\n",
       "userID                                                                        102647  \\\n",
       "bookTitle                                                                              \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0        \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0        \n",
       "Bel Canto: A Novel                                                            0        \n",
       "Little Altars Everywhere: A Novel                                             0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0        \n",
       "...                                                                          ..        \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0        \n",
       "Wild Animus                                                                   0        \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0        \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0        \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0        \n",
       "\n",
       "userID                                                                        102702  \\\n",
       "bookTitle                                                                              \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0        \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0        \n",
       "Bel Canto: A Novel                                                            0        \n",
       "Little Altars Everywhere: A Novel                                             0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0        \n",
       "...                                                                          ..        \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0        \n",
       "Wild Animus                                                                   0        \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0        \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0        \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0        \n",
       "\n",
       "userID                                                                        102967  \\\n",
       "bookTitle                                                                              \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0        \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0        \n",
       "Bel Canto: A Novel                                                            0        \n",
       "Little Altars Everywhere: A Novel                                             0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0        \n",
       "...                                                                          ..        \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0        \n",
       "Wild Animus                                                                   0        \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0        \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0        \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0        \n",
       "\n",
       "userID                                                                        104399  \\\n",
       "bookTitle                                                                              \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0        \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0        \n",
       "Bel Canto: A Novel                                                            0        \n",
       "Little Altars Everywhere: A Novel                                             0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0        \n",
       "...                                                                          ..        \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0        \n",
       "Wild Animus                                                                   0        \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0        \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0        \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0        \n",
       "\n",
       "userID                                                                        104636  \\\n",
       "bookTitle                                                                              \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0        \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0        \n",
       "Bel Canto: A Novel                                                            0        \n",
       "Little Altars Everywhere: A Novel                                             0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0        \n",
       "...                                                                          ..        \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0        \n",
       "Wild Animus                                                                   0        \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0        \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0        \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  5        \n",
       "\n",
       "userID                                                                        ...  \\\n",
       "bookTitle                                                                     ...   \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      ...   \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               ...   \n",
       "Bel Canto: A Novel                                                            ...   \n",
       "Little Altars Everywhere: A Novel                                             ...   \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    ...   \n",
       "...                                                                           ...   \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             ...   \n",
       "Wild Animus                                                                   ...   \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           ...   \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  ...   \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  ...   \n",
       "\n",
       "userID                                                                        94853  \\\n",
       "bookTitle                                                                             \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0       \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0       \n",
       "Bel Canto: A Novel                                                            0       \n",
       "Little Altars Everywhere: A Novel                                             0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0       \n",
       "...                                                                          ..       \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0       \n",
       "Wild Animus                                                                   6       \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0       \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0       \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0       \n",
       "\n",
       "userID                                                                        94951  \\\n",
       "bookTitle                                                                             \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0       \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0       \n",
       "Bel Canto: A Novel                                                            0       \n",
       "Little Altars Everywhere: A Novel                                             0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0       \n",
       "...                                                                          ..       \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0       \n",
       "Wild Animus                                                                   0       \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0       \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0       \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0       \n",
       "\n",
       "userID                                                                        95010  \\\n",
       "bookTitle                                                                             \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0       \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0       \n",
       "Bel Canto: A Novel                                                            0       \n",
       "Little Altars Everywhere: A Novel                                             0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0       \n",
       "...                                                                          ..       \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0       \n",
       "Wild Animus                                                                   0       \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0       \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0       \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0       \n",
       "\n",
       "userID                                                                        95359  \\\n",
       "bookTitle                                                                             \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      10      \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0       \n",
       "Bel Canto: A Novel                                                            9       \n",
       "Little Altars Everywhere: A Novel                                             7       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0       \n",
       "...                                                                          ..       \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0       \n",
       "Wild Animus                                                                   0       \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           9       \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0       \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0       \n",
       "\n",
       "userID                                                                        95932  \\\n",
       "bookTitle                                                                             \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0       \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               8       \n",
       "Bel Canto: A Novel                                                            0       \n",
       "Little Altars Everywhere: A Novel                                             0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0       \n",
       "...                                                                          ..       \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0       \n",
       "Wild Animus                                                                   0       \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0       \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0       \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0       \n",
       "\n",
       "userID                                                                        96448  \\\n",
       "bookTitle                                                                             \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0       \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0       \n",
       "Bel Canto: A Novel                                                            0       \n",
       "Little Altars Everywhere: A Novel                                             0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    8       \n",
       "...                                                                          ..       \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0       \n",
       "Wild Animus                                                                   0       \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0       \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0       \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0       \n",
       "\n",
       "userID                                                                        97754  \\\n",
       "bookTitle                                                                             \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0       \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0       \n",
       "Bel Canto: A Novel                                                            0       \n",
       "Little Altars Everywhere: A Novel                                             0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0       \n",
       "...                                                                          ..       \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0       \n",
       "Wild Animus                                                                   0       \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0       \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0       \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0       \n",
       "\n",
       "userID                                                                        97874  \\\n",
       "bookTitle                                                                             \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      10      \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0       \n",
       "Bel Canto: A Novel                                                            0       \n",
       "Little Altars Everywhere: A Novel                                             0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0       \n",
       "...                                                                          ..       \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0       \n",
       "Wild Animus                                                                   0       \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0       \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0       \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0       \n",
       "\n",
       "userID                                                                        98391  \\\n",
       "bookTitle                                                                             \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0       \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0       \n",
       "Bel Canto: A Novel                                                            0       \n",
       "Little Altars Everywhere: A Novel                                             0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0       \n",
       "...                                                                          ..       \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0       \n",
       "Wild Animus                                                                   0       \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0       \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0       \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0       \n",
       "\n",
       "userID                                                                        98758  \n",
       "bookTitle                                                                            \n",
       "Stupid White Men ...and Other Sorry Excuses for the State of the Nation!      0      \n",
       "Divine Secrets of the Ya-Ya Sisterhood: A Novel                               0      \n",
       "Bel Canto: A Novel                                                            0      \n",
       "Little Altars Everywhere: A Novel                                             0      \n",
       "Wicked: The Life and Times of the Wicked Witch of the West                    0      \n",
       "...                                                                          ..      \n",
       "Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)             0      \n",
       "Wild Animus                                                                   0      \n",
       "Tears of the Giraffe (No.1 Ladies Detective Agency)                           0      \n",
       "The No. 1 Ladies' Detective Agency (Today Show Book Club #8)                  0      \n",
       "Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))  0      \n",
       "\n",
       "[100 rows x 385 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_matrix_pivot.index = ratings_matrix_pivot.join(books_filtered.set_index('ISBN'))['bookTitle']\n",
    "# ratings_matrix_pivot = ratings_matrix_pivot.sort_index()\n",
    "ratings_matrix_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "ede50544",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "  <tbody>\n",
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       "      <th>1st to Die: A Novel</th>\n",
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       "      <th>A Is for Alibi (Kinsey Millhone Mysteries (Paperback))</th>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>Where the Heart Is (Oprah's Book Club (Paperback))</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>White Oleander : A Novel</th>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>White Oleander : A Novel (Oprah's Book Club)</th>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>Wicked: The Life and Times of the Wicked Witch of the West</th>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wild Animus</th>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 385 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "userID                                                      100459  100906  \\\n",
       "bookTitle                                                                    \n",
       "1st to Die: A Novel                                         0       0        \n",
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       "A Painted House                                             0       0        \n",
       "A Prayer for Owen Meany                                     0       0        \n",
       "A Time to Kill                                              10      0        \n",
       "...                                                        ..      ..        \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0       0        \n",
       "White Oleander : A Novel                                    0       0        \n",
       "White Oleander : A Novel (Oprah's Book Club)                0       0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0       0        \n",
       "Wild Animus                                                 0       0        \n",
       "\n",
       "userID                                                      101209  101606  \\\n",
       "bookTitle                                                                    \n",
       "1st to Die: A Novel                                         0       0        \n",
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       "A Painted House                                             0       0        \n",
       "A Prayer for Owen Meany                                     0       0        \n",
       "A Time to Kill                                              0       0        \n",
       "...                                                        ..      ..        \n",
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       "White Oleander : A Novel                                    0       0        \n",
       "White Oleander : A Novel (Oprah's Book Club)                0       0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0       0        \n",
       "Wild Animus                                                 0       0        \n",
       "\n",
       "userID                                                      101851  102647  \\\n",
       "bookTitle                                                                    \n",
       "1st to Die: A Novel                                         0       0        \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0       0        \n",
       "A Painted House                                             0       0        \n",
       "A Prayer for Owen Meany                                     0       7        \n",
       "A Time to Kill                                              9       10       \n",
       "...                                                        ..      ..        \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0       0        \n",
       "White Oleander : A Novel                                    0       0        \n",
       "White Oleander : A Novel (Oprah's Book Club)                0       0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0       0        \n",
       "Wild Animus                                                 0       0        \n",
       "\n",
       "userID                                                      102702  102967  \\\n",
       "bookTitle                                                                    \n",
       "1st to Die: A Novel                                         0       0        \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0       0        \n",
       "A Painted House                                             0       0        \n",
       "A Prayer for Owen Meany                                     0       0        \n",
       "A Time to Kill                                              0       0        \n",
       "...                                                        ..      ..        \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0       0        \n",
       "White Oleander : A Novel                                    0       0        \n",
       "White Oleander : A Novel (Oprah's Book Club)                0       0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0       0        \n",
       "Wild Animus                                                 0       0        \n",
       "\n",
       "userID                                                      104399  104636  \\\n",
       "bookTitle                                                                    \n",
       "1st to Die: A Novel                                         0       10       \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0       9        \n",
       "A Painted House                                             0       0        \n",
       "A Prayer for Owen Meany                                     0       0        \n",
       "A Time to Kill                                              0       10       \n",
       "...                                                        ..      ..        \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0       10       \n",
       "White Oleander : A Novel                                    0       0        \n",
       "White Oleander : A Novel (Oprah's Book Club)                0       8        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0       0        \n",
       "Wild Animus                                                 0       0        \n",
       "\n",
       "userID                                                      ...  94853  94951  \\\n",
       "bookTitle                                                   ...                 \n",
       "1st to Die: A Novel                                         ...  0      0       \n",
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       "Wild Animus                                                 ...  6      0       \n",
       "\n",
       "userID                                                      95010  95359  \\\n",
       "bookTitle                                                                  \n",
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       "A Prayer for Owen Meany                                     0      10      \n",
       "A Time to Kill                                              0      0       \n",
       "...                                                        ..      ..      \n",
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       "White Oleander : A Novel                                    0      0       \n",
       "White Oleander : A Novel (Oprah's Book Club)                0      6       \n",
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       "Wild Animus                                                 0      0       \n",
       "\n",
       "userID                                                      95932  96448  \\\n",
       "bookTitle                                                                  \n",
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       "A Painted House                                             0      0       \n",
       "A Prayer for Owen Meany                                     0      0       \n",
       "A Time to Kill                                              0      0       \n",
       "...                                                        ..     ..       \n",
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       "White Oleander : A Novel (Oprah's Book Club)                0      0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0      8       \n",
       "Wild Animus                                                 0      0       \n",
       "\n",
       "userID                                                      97754  97874  \\\n",
       "bookTitle                                                                  \n",
       "1st to Die: A Novel                                         0      0       \n",
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       "A Painted House                                             0      0       \n",
       "A Prayer for Owen Meany                                     0      10      \n",
       "A Time to Kill                                              0      0       \n",
       "...                                                        ..      ..      \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0      0       \n",
       "White Oleander : A Novel                                    0      0       \n",
       "White Oleander : A Novel (Oprah's Book Club)                0      0       \n",
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       "Wild Animus                                                 0      0       \n",
       "\n",
       "userID                                                      98391  98758  \n",
       "bookTitle                                                                 \n",
       "1st to Die: A Novel                                         0      0      \n",
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       "A Painted House                                             0      0      \n",
       "A Prayer for Owen Meany                                     0      0      \n",
       "A Time to Kill                                              0      0      \n",
       "...                                                        ..     ..      \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0      0      \n",
       "White Oleander : A Novel                                    0      0      \n",
       "White Oleander : A Novel (Oprah's Book Club)                0      0      \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0      0      \n",
       "Wild Animus                                                 0      0      \n",
       "\n",
       "[100 rows x 385 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_matrix_pivot = ratings_matrix_pivot.sort_index()\n",
    "ratings_matrix_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "6d384e06",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Painted House</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Prayer for Owen Meany</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>A Time to Kill</th>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Where the Heart Is (Oprah's Book Club (Paperback))</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White Oleander : A Novel</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White Oleander : A Novel (Oprah's Book Club)</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wicked: The Life and Times of the Wicked Witch of the West</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wild Animus</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 385 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "userID                                                      100459  100906  \\\n",
       "bookTitle                                                                    \n",
       "1st to Die: A Novel                                         0       0        \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0       0        \n",
       "A Painted House                                             0       0        \n",
       "A Prayer for Owen Meany                                     0       0        \n",
       "A Time to Kill                                              10      0        \n",
       "...                                                        ..      ..        \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0       0        \n",
       "White Oleander : A Novel                                    0       0        \n",
       "White Oleander : A Novel (Oprah's Book Club)                0       0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0       0        \n",
       "Wild Animus                                                 0       0        \n",
       "\n",
       "userID                                                      101209  101606  \\\n",
       "bookTitle                                                                    \n",
       "1st to Die: A Novel                                         0       0        \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0       0        \n",
       "A Painted House                                             0       0        \n",
       "A Prayer for Owen Meany                                     0       0        \n",
       "A Time to Kill                                              0       0        \n",
       "...                                                        ..      ..        \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0       9        \n",
       "White Oleander : A Novel                                    0       0        \n",
       "White Oleander : A Novel (Oprah's Book Club)                0       0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0       0        \n",
       "Wild Animus                                                 0       0        \n",
       "\n",
       "userID                                                      101851  102647  \\\n",
       "bookTitle                                                                    \n",
       "1st to Die: A Novel                                         0       0        \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0       0        \n",
       "A Painted House                                             0       0        \n",
       "A Prayer for Owen Meany                                     0       7        \n",
       "A Time to Kill                                              9       10       \n",
       "...                                                        ..      ..        \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0       0        \n",
       "White Oleander : A Novel                                    0       0        \n",
       "White Oleander : A Novel (Oprah's Book Club)                0       0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0       0        \n",
       "Wild Animus                                                 0       0        \n",
       "\n",
       "userID                                                      102702  102967  \\\n",
       "bookTitle                                                                    \n",
       "1st to Die: A Novel                                         0       0        \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0       0        \n",
       "A Painted House                                             0       0        \n",
       "A Prayer for Owen Meany                                     0       0        \n",
       "A Time to Kill                                              0       0        \n",
       "...                                                        ..      ..        \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0       0        \n",
       "White Oleander : A Novel                                    0       0        \n",
       "White Oleander : A Novel (Oprah's Book Club)                0       0        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0       0        \n",
       "Wild Animus                                                 0       0        \n",
       "\n",
       "userID                                                      104399  104636  \\\n",
       "bookTitle                                                                    \n",
       "1st to Die: A Novel                                         0       10       \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0       9        \n",
       "A Painted House                                             0       0        \n",
       "A Prayer for Owen Meany                                     0       0        \n",
       "A Time to Kill                                              0       10       \n",
       "...                                                        ..      ..        \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0       10       \n",
       "White Oleander : A Novel                                    0       0        \n",
       "White Oleander : A Novel (Oprah's Book Club)                0       8        \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0       0        \n",
       "Wild Animus                                                 0       0        \n",
       "\n",
       "userID                                                      ...  94853  94951  \\\n",
       "bookTitle                                                   ...                 \n",
       "1st to Die: A Novel                                         ...  0      0       \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      ...  0      0       \n",
       "A Painted House                                             ...  0      0       \n",
       "A Prayer for Owen Meany                                     ...  0      0       \n",
       "A Time to Kill                                              ...  0      0       \n",
       "...                                                         ... ..     ..       \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          ...  0      0       \n",
       "White Oleander : A Novel                                    ...  0      0       \n",
       "White Oleander : A Novel (Oprah's Book Club)                ...  0      0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  ...  0      0       \n",
       "Wild Animus                                                 ...  6      0       \n",
       "\n",
       "userID                                                      95010  95359  \\\n",
       "bookTitle                                                                  \n",
       "1st to Die: A Novel                                         0      8       \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0      4       \n",
       "A Painted House                                             0      0       \n",
       "A Prayer for Owen Meany                                     0      10      \n",
       "A Time to Kill                                              0      0       \n",
       "...                                                        ..      ..      \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0      0       \n",
       "White Oleander : A Novel                                    0      0       \n",
       "White Oleander : A Novel (Oprah's Book Club)                0      6       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0      0       \n",
       "Wild Animus                                                 0      0       \n",
       "\n",
       "userID                                                      95932  96448  \\\n",
       "bookTitle                                                                  \n",
       "1st to Die: A Novel                                         0      0       \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0      0       \n",
       "A Painted House                                             0      0       \n",
       "A Prayer for Owen Meany                                     0      0       \n",
       "A Time to Kill                                              0      0       \n",
       "...                                                        ..     ..       \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0      0       \n",
       "White Oleander : A Novel                                    0      0       \n",
       "White Oleander : A Novel (Oprah's Book Club)                0      0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0      8       \n",
       "Wild Animus                                                 0      0       \n",
       "\n",
       "userID                                                      97754  97874  \\\n",
       "bookTitle                                                                  \n",
       "1st to Die: A Novel                                         0      0       \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0      0       \n",
       "A Painted House                                             0      0       \n",
       "A Prayer for Owen Meany                                     0      10      \n",
       "A Time to Kill                                              0      0       \n",
       "...                                                        ..      ..      \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0      0       \n",
       "White Oleander : A Novel                                    0      0       \n",
       "White Oleander : A Novel (Oprah's Book Club)                0      0       \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0      0       \n",
       "Wild Animus                                                 0      0       \n",
       "\n",
       "userID                                                      98391  98758  \n",
       "bookTitle                                                                 \n",
       "1st to Die: A Novel                                         0      0      \n",
       "A Is for Alibi (Kinsey Millhone Mysteries (Paperback))      0      0      \n",
       "A Painted House                                             0      0      \n",
       "A Prayer for Owen Meany                                     0      0      \n",
       "A Time to Kill                                              0      0      \n",
       "...                                                        ..     ..      \n",
       "Where the Heart Is (Oprah's Book Club (Paperback))          0      0      \n",
       "White Oleander : A Novel                                    0      0      \n",
       "White Oleander : A Novel (Oprah's Book Club)                0      0      \n",
       "Wicked: The Life and Times of the Wicked Witch of the West  0      0      \n",
       "Wild Animus                                                 0      0      \n",
       "\n",
       "[100 rows x 385 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_matrix_pivot = ratings_matrix_pivot[~ratings_matrix_pivot.index.isnull()]\n",
    "ratings_matrix_pivot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "e516ed00",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['1st to Die: A Novel',\n",
       "       'A Is for Alibi (Kinsey Millhone Mysteries (Paperback))',\n",
       "       'A Painted House', 'A Prayer for Owen Meany', 'A Time to Kill',\n",
       "       'A Wrinkle In Time', 'All I Really Need to Know', 'American Gods',\n",
       "       'Angela's Ashes: A Memoir', 'Angels &amp; Demons',\n",
       "       'B Is for Burglar (Kinsey Millhone Mysteries (Paperback))',\n",
       "       'Balzac and the Little Chinese Seamstress : A Novel',\n",
       "       'Bel Canto: A Novel', 'Bridget Jones's Diary',\n",
       "       'C Is for Corpse (Kinsey Millhone Mysteries (Paperback))',\n",
       "       'Chicken Soup for the Woman's Soul (Chicken Soup for the Soul Series (Paper))',\n",
       "       'Confessions of a Shopaholic (Summer Display Opportunity)', 'Congo',\n",
       "       'Cruel &amp; Unusual (Kay Scarpetta Mysteries (Paperback))',\n",
       "       'Divine Secrets of the Ya-Ya Sisterhood: A Novel', 'Empire Falls',\n",
       "       'Fahrenheit 451', 'Four To Score (A Stephanie Plum Novel)',\n",
       "       'Gerald's Game', 'Girl in Hyacinth Blue', 'Girl with a Pearl Earring',\n",
       "       'Good in Bed', 'Hannibal',\n",
       "       'Hard Eight : A Stephanie Plum Novel (A Stephanie Plum Novel)',\n",
       "       'Harry Potter and the Chamber of Secrets (Book 2)',\n",
       "       'Harry Potter and the Chamber of Secrets (Book 2)',\n",
       "       'Harry Potter and the Goblet of Fire (Book 4)',\n",
       "       'Harry Potter and the Order of the Phoenix (Book 5)',\n",
       "       'Harry Potter and the Prisoner of Azkaban (Book 3)',\n",
       "       'Harry Potter and the Prisoner of Azkaban (Book 3)',\n",
       "       'Harry Potter and the Sorcerer's Stone (Book 1)',\n",
       "       'Harry Potter and the Sorcerer's Stone (Harry Potter (Paperback))',\n",
       "       'Hot Six : A Stephanie Plum Novel (A Stephanie Plum Novel)',\n",
       "       'House of Sand and Fog', 'Interview with the Vampire', 'Jurassic Park',\n",
       "       'Left Behind: A Novel of the Earth's Last Days (Left Behind No. 1)',\n",
       "       'Life of Pi', 'Little Altars Everywhere: A Novel', 'Lord of the Flies',\n",
       "       'Lucky : A Memoir', 'Me Talk Pretty One Day', 'Message in a Bottle',\n",
       "       'Midwives: A Novel', 'Nickel and Dimed: On (Not) Getting By in America',\n",
       "       'One for the Money (Stephanie Plum Novels (Paperback))', 'Red Dragon',\n",
       "       'STONES FROM THE RIVER', 'Seven Up (A Stephanie Plum Novel)',\n",
       "       'She's Come Undone (Oprah's Book Club (Paperback))',\n",
       "       'Silence of the Lambs', 'Snow Falling on Cedars',\n",
       "       'Stupid White Men ...and Other Sorry Excuses for the State of the Nation!',\n",
       "       'Summer Sisters', 'Tears of the Giraffe (No.1 Ladies Detective Agency)',\n",
       "       'The Alienist',\n",
       "       'The Bad Beginning (A Series of Unfortunate Events, Book 1)',\n",
       "       'The Bridges of Madison County', 'The Catcher in the Rye',\n",
       "       'The Chamber',\n",
       "       'The Clan of the Cave Bear (Earth's Children (Paperback))',\n",
       "       'The Client', 'The Da Vinci Code', 'The Dark Half', 'The Firm',\n",
       "       'The Five People You Meet in Heaven', 'The Green Mile',\n",
       "       'The Handmaid's Tale',\n",
       "       'The Hobbit : The Enchanting Prelude to The Lord of the Rings',\n",
       "       'The Joy Luck Club', 'The Lovely Bones: A Novel',\n",
       "       'The Nanny Diaries: A Novel',\n",
       "       'The No. 1 Ladies' Detective Agency (Today Show Book Club #8)',\n",
       "       'The Partner', 'The Pelican Brief', 'The Pilot's Wife : A Novel',\n",
       "       'The Prince of Tides', 'The Rainmaker',\n",
       "       'The Red Tent (Bestselling Backlist)', 'The Runaway Jury',\n",
       "       'The Secret Life of Bees',\n",
       "       'The Tale of the Body Thief (Vampire Chronicles (Paperback))',\n",
       "       'The Testament', 'The Thorn Birds', 'The Tommyknockers',\n",
       "       'The Vampire Lestat (Vampire Chronicles, Book II)',\n",
       "       'To Kill a Mockingbird',\n",
       "       'Tuesdays with Morrie: An Old Man, a Young Man, and Life's Greatest Lesson',\n",
       "       'Two for the Dough', 'Watership Down',\n",
       "       'Where the Heart Is (Oprah's Book Club (Paperback))',\n",
       "       'White Oleander : A Novel',\n",
       "       'White Oleander : A Novel (Oprah's Book Club)',\n",
       "       'Wicked: The Life and Times of the Wicked Witch of the West',\n",
       "       'Wild Animus'],\n",
       "      dtype='object', name='bookTitle')"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_matrix_pivot.index #book titles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "771d1dda",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "122429    0 \n",
       "122793    0 \n",
       "123094    0 \n",
       "123608    8 \n",
       "123883    0 \n",
       "123981    0 \n",
       "12538     0 \n",
       "125519    0 \n",
       "125774    0 \n",
       "126492    0 \n",
       "126736    0 \n",
       "127200    0 \n",
       "127359    0 \n",
       "12824     0 \n",
       "128835    0 \n",
       "129074    0 \n",
       "129716    0 \n",
       "12982     0 \n",
       "129851    0 \n",
       "Name: Harry Potter and the Sorcerer's Stone (Book 1), dtype: int32"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# user ratings fot this book\n",
    "loc = ratings_matrix_pivot.loc[\"Harry Potter and the Sorcerer's Stone (Book 1)\"][:50]\n",
    "loc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "614a6629",
   "metadata": {},
   "source": [
    "# Build Recommender:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82c7fa6f",
   "metadata": {},
   "source": [
    "#  Collaborative filter: KNN approach\n",
    "- Item-based recommender (CF)- find similiar books and recommend to users\n",
    "- Use KNN to find k most similar books\n",
    "- Default params: \n",
    "    - metric = 'cosine'\n",
    "    - algorithm = 'brute'\n",
    "    - k = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "fa9dfb84",
   "metadata": {},
   "outputs": [],
   "source": [
    "global metric,k \n",
    "metric = 'cosine'\n",
    "algorithm = 'brute'\n",
    "k = 5 # number of recommendations\n",
    "similarities = []\n",
    "indices = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "fd9a636a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NearestNeighbors(algorithm='brute', metric='cosine')"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_knn = NearestNeighbors(metric = metric, algorithm = algorithm)\n",
    "model_knn.fit(ratings_matrix_pivot.values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "f47acbca",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  8,  0,  0, 10,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0,  0,  0,  0,  5,  0,  0,  0,  0,  8,  0,  0,  0,  0,\n",
       "        8,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  8,\n",
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       "        0,  0,  0,  0,  0,  0,  0,  0,  0, 10,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0,  0,  0,  0, 10,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0, 10,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  8,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  9,\n",
       "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0, 10,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0,  7,  0,  0,  0,  0,  0,  0, 10,  0,  0,  0,  0,  0,\n",
       "        0,  0,  7,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0,  0,  0, 10,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0, 10,  0,  0,  0,  0,  0,  0,  0, 10,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  8,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "       10,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  8,  0,  0,  0,  0,  0,\n",
       "       10, 10,  0,  9,  0,  9,  0,  0, 10,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0,  0,  8,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0,\n",
       "        0,  0,  0,  0,  0,  0,  0,  0,  0,  0,  0], dtype=int32)"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "title = \"Harry Potter and the Sorcerer's Stone (Book 1)\"\n",
    "ratings_matrix_pivot.loc[title].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "e25d4ada",
   "metadata": {},
   "outputs": [],
   "source": [
    "distances, indices = model_knn.kneighbors([ratings_matrix_pivot.loc[title].values], n_neighbors = k+1)\n",
    "# k+1 bc returned value will be including itself\n",
    "\n",
    "similarities = 1 - distances.flatten()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "6cc47cda",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1.        , 0.64409766, 0.59783132, 0.44284619, 0.39254416,\n",
       "       0.16745932])"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "similarities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "55c29150",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[35, 30, 34, 31, 32, 74]])"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "c55bead7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([\"Harry Potter and the Sorcerer's Stone (Book 1)\",\n",
       "       'Harry Potter and the Chamber of Secrets (Book 2)',\n",
       "       'Harry Potter and the Prisoner of Azkaban (Book 3)',\n",
       "       'Harry Potter and the Goblet of Fire (Book 4)',\n",
       "       'Harry Potter and the Order of the Phoenix (Book 5)',\n",
       "       'The Joy Luck Club'], dtype=object)"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ratings_matrix_pivot.iloc[indices[0]].index.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "eaa0913d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>similarities</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Harry Potter and the Sorcerer's Stone (Book 1)</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Harry Potter and the Chamber of Secrets (Book 2)</td>\n",
       "      <td>0.644098</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Harry Potter and the Prisoner of Azkaban (Book 3)</td>\n",
       "      <td>0.597831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Harry Potter and the Goblet of Fire (Book 4)</td>\n",
       "      <td>0.442846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Harry Potter and the Order of the Phoenix (Book 5)</td>\n",
       "      <td>0.392544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>The Joy Luck Club</td>\n",
       "      <td>0.167459</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                title  similarities\n",
       "0  Harry Potter and the Sorcerer's Stone (Book 1)      1.000000    \n",
       "1  Harry Potter and the Chamber of Secrets (Book 2)    0.644098    \n",
       "2  Harry Potter and the Prisoner of Azkaban (Book 3)   0.597831    \n",
       "3  Harry Potter and the Goblet of Fire (Book 4)        0.442846    \n",
       "4  Harry Potter and the Order of the Phoenix (Book 5)  0.392544    \n",
       "5  The Joy Luck Club                                   0.167459    "
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame({\n",
    "    'title'   : ratings_matrix_pivot.iloc[indices[0]].index.values,\n",
    "    'similarities': similarities\n",
    "}).sort_values(by='similarities', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "026d6390",
   "metadata": {},
   "source": [
    "### Create a function to output recommendations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "a0075a2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# function to return recommended books \n",
    "def make_recommendation(matrix, model, k, title):\n",
    "  try: \n",
    "    book = matrix.loc[title]\n",
    "  except KeyError as e:\n",
    "    print('Cannot find the book', e, 'in database!')\n",
    "    return\n",
    "\n",
    "  distance, indice = model.kneighbors([book.values], n_neighbors=k+1)\n",
    "  similarities = 1 - distance.flatten()\n",
    "  recommended_books = pd.DataFrame({\n",
    "      'title'   : matrix.iloc[indice[0]].index.values,\n",
    "      'similarities': similarities}).sort_values(by='similarities', ascending=False)\n",
    "\n",
    "  return [recommended_books]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "4f3f18f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[                                                                      title  \\\n",
       " 0  The Hobbit : The Enchanting Prelude to The Lord of the Rings               \n",
       " 1  The No. 1 Ladies' Detective Agency (Today Show Book Club #8)               \n",
       " 2  Stupid White Men ...and Other Sorry Excuses for the State of the Nation!   \n",
       " 3  A Wrinkle In Time                                                          \n",
       " 4  The Firm                                                                   \n",
       " 5  Harry Potter and the Sorcerer's Stone (Harry Potter (Paperback))           \n",
       " \n",
       "    similarities  \n",
       " 0  1.000000      \n",
       " 1  0.189115      \n",
       " 2  0.154504      \n",
       " 3  0.153445      \n",
       " 4  0.146339      \n",
       " 5  0.145799      ]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "make_recommendation(ratings_matrix_pivot, model_knn, 5, \"The Hobbit : The Enchanting Prelude to The Lord of the Rings\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "4145cab3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[                                                         title  similarities\n",
       " 0  The Vampire Lestat (Vampire Chronicles, Book II)             1.000000    \n",
       " 1  The Tale of the Body Thief (Vampire Chronicles (Paperback))  0.621567    \n",
       " 2  Interview with the Vampire                                   0.505583    \n",
       " 3  The Handmaid's Tale                                          0.270795    \n",
       " 4  Watership Down                                               0.221334    \n",
       " 5  A Time to Kill                                               0.220261    ]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "make_recommendation(ratings_matrix_pivot, model_knn, 5, \"The Vampire Lestat (Vampire Chronicles, Book II)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ce4d747",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "c22dd2ec",
   "metadata": {},
   "source": [
    "# Content based model using NLP"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df6838b7",
   "metadata": {},
   "source": [
    "### Distribution on part-of-speech tagging in book title"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3123356d",
   "metadata": {},
   "source": [
    "<!-- CC coordinating conjunction \n",
    "CD cardinal digit \n",
    "DT determiner \n",
    "EX existential there (like: “there is” … think of it like “there exists”) \n",
    "FW foreign word \n",
    "IN preposition/subordinating conjunction \n",
    "JJ adjective – ‘big’ \n",
    "JJR adjective, comparative – ‘bigger’ \n",
    "JJS adjective, superlative – ‘biggest’ \n",
    "LS list marker 1) \n",
    "MD modal – could, will \n",
    "NN noun, singular ‘- desk’ \n",
    "NNS noun plural – ‘desks’ \n",
    "NNP proper noun, singular – ‘Harrison’ \n",
    "NNPS proper noun, plural – ‘Americans’ \n",
    "PDT predeterminer – ‘all the kids’ \n",
    "POS possessive ending parent’s \n",
    "PRP personal pronoun –  I, he, she \n",
    "PRP$ possessive pronoun – my, his, hers \n",
    "RB adverb – very, silently, \n",
    "RBR adverb, comparative – better \n",
    "RBS adverb, superlative – best \n",
    "RP particle – give up \n",
    "TO – to go ‘to’ the store. \n",
    "UH interjection – errrrrrrrm \n",
    "VB verb, base form – take \n",
    "VBD verb, past tense – took \n",
    "VBG verb, gerund/present participle – taking \n",
    "VBN verb, past participle – taken \n",
    "VBP verb, sing. present, non-3d – take \n",
    "VBZ verb, 3rd person sing. present – takes \n",
    "WDT wh-determiner – which \n",
    "WP wh-pronoun – who, what \n",
    "WP$ possessive wh-pronoun, eg- whose \n",
    "WRB wh-adverb, eg- where, when -->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "83b4e4c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# CC coordinating conjunction \n",
    "# CD cardinal digit \n",
    "# DT determiner \n",
    "# EX existential there (like: “there is” … think of it like “there exists”) \n",
    "# FW foreign word \n",
    "# IN preposition/subordinating conjunction \n",
    "# JJ adjective – ‘big’ \n",
    "# JJR adjective, comparative – ‘bigger’ \n",
    "# JJS adjective, superlative – ‘biggest’ \n",
    "# LS list marker 1) \n",
    "# MD modal – could, will \n",
    "# NN noun, singular ‘- desk’ \n",
    "# NNS noun plural – ‘desks’ \n",
    "# NNP proper noun, singular – ‘Harrison’ \n",
    "# NNPS proper noun, plural – ‘Americans’ \n",
    "# PDT predeterminer – ‘all the kids’ \n",
    "# POS possessive ending parent’s \n",
    "# PRP personal pronoun –  I, he, she \n",
    "# PRP$ possessive pronoun – my, his, hers \n",
    "# RB adverb – very, silently, \n",
    "# RBR adverb, comparative – better \n",
    "# RBS adverb, superlative – best \n",
    "# RP particle – give up \n",
    "# TO – to go ‘to’ the store. \n",
    "# UH interjection – errrrrrrrm \n",
    "# VB verb, base form – take \n",
    "# VBD verb, past tense – took \n",
    "# VBG verb, gerund/present participle – taking \n",
    "# VBN verb, past participle – taken \n",
    "# VBP verb, sing. present, non-3d – take \n",
    "# VBZ verb, 3rd person sing. present – takes \n",
    "# WDT wh-determiner – which \n",
    "# WP wh-pronoun – who, what \n",
    "# WP$ possessive wh-pronoun, eg- whose \n",
    "# WRB wh-adverb, eg- where, when"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "be688832",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Top 10 Part-of-speech tagging in book title'}>"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "blob = TextBlob(str(books_filtered['bookTitle']))\n",
    "pos_df = pd.DataFrame(blob.tags, columns = ['word' , 'pos'])\n",
    "pos_df = pos_df.pos.value_counts()[:10]\n",
    "pos_df.plot(kind = 'bar', figsize=(10, 8),  title = \"Top 10 Part-of-speech tagging in book title\")\n",
    "\n",
    "# NNP proper noun, singular – ‘Harrison’ \n",
    "# CD cardinal digit - 1,2,3...\n",
    "# IN preposition/subordinating conjunction \n",
    "# DT determiner -  a member of a class of words used to modify nouns or noun equivalents\n",
    "# NN noun, singular ‘- desk’ "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4da55c0d",
   "metadata": {},
   "source": [
    "### Distribution on bigram in book title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "c1a79975",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Bigram disribution for the top 25 words in the book title'}, ylabel='bigram'>"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Converting text descriptions into vectors using TF-IDF using Bigram\n",
    "tf = TfidfVectorizer(ngram_range=(2, 2), stop_words='english', lowercase = True)\n",
    "tfidf_matrix = tf.fit_transform(books_filtered['bookTitle'])\n",
    "total_words = tfidf_matrix.sum(axis=0) \n",
    "#Finding the word frequency\n",
    "freq = [(word, total_words[0, idx]) for word, idx in tf.vocabulary_.items()]\n",
    "freq =sorted(freq, key = lambda x: x[1], reverse=True)\n",
    "#converting into dataframe \n",
    "bigram = pd.DataFrame(freq)\n",
    "bigram.rename(columns = {0:'bigram', 1: 'count'}, inplace = True) \n",
    "#Taking first 20 records\n",
    "bigram = bigram.head(25)\n",
    "#Plotting the bigram distribution\n",
    "bigram.plot(x ='bigram', y='count', kind = 'barh', title = \"Bigram disribution for the top 25 words in the book title\", figsize = (15,7), )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dec80107",
   "metadata": {},
   "source": [
    "### Distribution on trigram in book title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "2242bd61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Trigram disribution for the top 25 words in the book title'}, ylabel='trigram'>"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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8ZiWGtlr2hba3sL0pcDfwpVreuuXc/7P0/dvS979qbe8CrANsWc5tc0nbl+x1gN/Y3hB4psQAcDCwWfmODmi8cJL2l9QuqX3WCzMasyMiIiIiYjHW1wYBOszLeWdpwBz/tH1jOT4LOBC4AtgIuLpc3H7Ao91o6wPABsCNpd7bgJtr+ed2Uvdi27OBuyStUtKGAeeUZQT/ljQO2IJqwOJ2248CSPo/4KpSZyqwYzneGdig9gNZrjz9vxH4paSzqW7sH2qIZRjwZ9svlvYvreVtJOknwPLAQODKWt55tSUP2zLnRv5M4JhyvEv5d0f5PJBqAOAfwAO2J5X0CcCQcjyFahbGxcDFDbFiezQwGmCpVddxY35ERERERERkIKCu8cbRgIBptrfuYVsCrrb92Rb5z3dS9+WGdup/uyo/u/Z5NnO+3yWArTtu6GuOlnQ58FHgFkk7276nSf/NjAH2sD25bJw4vJbXeH7NbsoF/Mz2796QWG3cWD+nWcDS5XhXYHvg48ChkjbMHgQREREREdFofr9BbGF4G9Pxxx/P/vvvzzLLLPOm28rSgDnWlNRxw/9Z4Abg78DKHemS+kvasJR5Dqivqa9/vgXYVtJ7S71lJK37JmIbD4yU1E/SylQ3w7f1oP5VwNc7PkgaWv6ubXuq7WOoli+s31DvBuBjkgaUPQ7qv/5BwKNl+cRenfR9I/CZclwvdyWwb23vhNUlvaNVI5KWAN5leyzwPebMRIiIiIiIiFjsHX/88bzwwjy/pO4NMiNgjruBvSX9DriPal37K2XDvhMkDaa6XscD06ieiJ8s6UVga6op6X+V9GjZJ2AUcI6kpUr7PwTuncfYLip9TKZ6uv492/+S1Hjj3sqBwG8kTSnnMJ5qjf23JO1I9dT9LuCv9Uq2b5d0Sen3QarBgo7F94cCt5b0qbxxUKTum8AfVG2oeEGt7askvQ+4uSxZmAl8vsTSTD/grPI9iGrPg2danfDGqw+mfSEYtYuIiIiIiL7jjDPO4Be/+AWS2GSTTfjJT37Cvvvuy+OPP87KK6/M6aefzpprrsmoUaPYbbfdGDFiBAADBw5k5syZXHfddRx++OGstNJK3HnnnWy++eacddZZnHjiiTzyyCPsuOOOrLTSSowdO/ZNxSk7S6mjNUkDbc8sbwUYD+xve2Jvx9WVtrY2t7e393YYERERERHxFrj77rt53/ve9/rn3lgaMG3aND75yU9y4403stJKK/HUU0+x9957M2LECPbee29OO+00LrnkEi6++OJOBwJ23313pk2bxmqrrca2227Lsccey7BhwxgyZAjt7e2stNJKc/XdeP4AkibYbpurMFkaEF0bLWkSMBG4YFEYBIiIiIiIiHirXXvttYwYMeL1G/UVVliBm2++mc997nMAfOELX+CGG27osp0tt9ySNdZYgyWWWIKhQ4cyffr0+R5rlgZEp2x/rrdjiIiIiIiIWNjZ7vJVfh35Sy65JLNnz3693iuvvPJ6maWWWur14379+vHaa/N/f/TMCIiIiIiIiIh4kz74wQ/ypz/9iSeffBKAp556im222YY//vGPAJx99tkMGzYMgCFDhjBhwgQA/vznP/Pqq6922f6gQYN47rnn5kusmREQERERERERi5XeeN3fhhtuyCGHHMIOO+xAv3792GyzzTjhhBPYd999OfbYY1/fLBBgv/32Y/fdd2fLLbfkgx/8IMsuu2yX7e+///585CMfYdVVV81mgRHNZLPAiIiIiIi+o9lmeX1JTzcLzIyAWCxNfXjGfN8pNGJx1xsj5xERERHx1sseAb1E0rfKK/kWOpKuk9RWjv8iafkF2NcPFlTbERERERERMbcMBPSebwHzfSBA0nyd5WH7o7afmZ9tNshAQEREREREvGl9ddn7vJx3BgIWMEnLSrpc0mRJd0oaKelAYDVgrKSxpdwukm6WNFHSeZIGlvTpko6RdFv5994mfRwuabSkq4AzJK0s6QJJt5d/25ZyW0q6SdId5e96JX1pSX+UNEXSucDStbanS1pJ0hBJd0s6RdI0SVdJWrqU2aLUvVnSsZLubBLjqpLGS5pUrsN2ko4Gli5pZ5dyny/nOUnS7yT1K+kzJf13uT7XSFp5vn5RERERERGxyBowYABPPvlknxsMsM2TTz7JgAEDelQvewQseB8GHrG9K4CkwbZnSPoOsKPtJyStBPwQ2Nn285K+D3wHOLK08aztLSV9ETge2K1JP5sDw2y/KOkPwHG2b5C0JnAl8D7gHmB7269J2hn4KfAp4CvAC7Y3kbQJMLHFuawDfNb2fpL+VOqeBZwO7G/7pnJz38zngCttH1Vu7pexfb2kr9seWq7N+4CRwLa2X5V0ErAXcAawLDDR9n9KOgz4EfD1egeS9gf2B+i3XMYJIiIiIiL6ijXWWIOHHnqIxx9/vLdDecsNGDCANdZYo0d1MhCw4E0FfiHpGOAy29c3KfMBYAPgRkkAbwNuruWfU/t7XIt+LrH9YjneGdigtAWwnKRBwGDg95LWAQz0L/nbAycA2J4iaUqLPh6wPakcTwCGlP0DBtm+qaT/geYDFbcDp0nqD1xca6fug1QDGreX2JcGHit5s4Fzy/FZwIWNlW2PBkYDLLXqOn1rKDAiIiIiog/r378/a621Vm+HscjIQMACZvteSZsDHwV+Jukq20c2FBNwte3PtmqmxXHd87XjJYCtawMDVSfSicBY25+QNAS4rhvt1r1cO55FdaOuFmXfwPZ4SdsDuwJnSjrW9hkNxQT83vZ/dafJ7vQbERERERERb5Q9AhYwSatRTbs/C/gF8P6S9RwwqBzfAmzbsf5f0jKS1q01M7L2tz5ToJWrqE2blzS0HA4GHi7Ho2rlx1NNwUfSRsAm3egDANtPA89J+kBJ+kyzcpLeDTxm+xTgf5hzHV4tswQArgFGSHpHqbNCqQfVb3VEOf4ccEN3Y4yIiIiIiIg5MiNgwdsYOFbSbOBVqvX4UE1h/6ukR23vKGkUcI6kpUr+D4F7y/FSkm6luhluNWug7kDgN2WK/5JUN/oHAD+nWhrwHeDaWvnfAqeX8pOA23p4jl8CTpH0PNUsgxlNygwHvivpVWAm8MWSPhqYImmi7b0k/RC4StISVNfra8CDVDMeNpQ0obQ/srGDuo1XH0x73okeERERERExF/W1XRUXNZKmA222n+jtWFqRNND2zHJ8MLCq7W/O5z5m2h7Y3fJtbW1ub2+fnyFEREREREQsMiRNsN3WLC8zAmJ+2FXSf1H9nh7kjcsOIiIiIiIiYiGSgYCFnO0hvR1DV2yfy5wd/RdUH92eDRARERERERGtZbPAiIiIiIiIiD4kAwERERERERERfUgGAiIiIiIiIiL6kAwERERERERERPQh2SxwESJpDHCZ7fMb0ocDB9nebT70cV1pq8fv3uvOK/56+hrAWr3h9OAcpz48gyEHX97TbiICmH70rr0dQkREREQsQJkREBEREREREdGHZCCgF0k6VNI9kq6WdI6kg0r6UEm3SJoi6SJJb29S98Ol7g3AJ2vpy0o6TdLtku6QtHtJHyXpQklXSLpP0s+7Ed9nJU2VdKekY7pKr+WvJOlmSS0fK6pybGljqqSRnaU31N2inNt7ujqHiIiIiIiIeKMMBPQSSW3Ap4DNqG7k22rZZwDft70JMBX4UUPdAcApwMeA7YB31rIPAa61vQWwI3CspGVL3lBgJLAxMFLSuzqJbzXgGGCnUm8LSXu0Sq/VWwW4HDjMdmdz8z9Z6m8K7FziXLWT9I72twFOBna3fX9DzPtLapfUPuuFGZ10HRERERER0XdlIKD3DAP+bPtF288BlwJIGgwsb3tcKfd7YPuGuusDD9i+z7aBs2p5uwAHS5oEXAcMANYsedfYnmH7JeAu4N2dxLcFcJ3tx22/Bpxd4miVDtAfuAb4nu2ru3H+59ieZfvfwLjSdqt0gPcBo4GP2f5HY4O2R9tus93Wb5nBXXQfERERERHRN2UgoPfoTdZ3J+1+yvbQ8m9N23eXvJdr5WbR+WaRreLrLO7XgAnAf3RS5s20/yjwEtUsioiIiIiIiJgHGQjoPTcAH5M0QNJAYFcA2zOApyVtV8p9geqpeN09wFqS1i6fP1vLuxL4hiQBSJrXm+ZbgR3Kev9+pY9xnaRDNTixL7C+pIO7aH881fKEfpJWpppVcFsn6QDPUF2nn5a3CEREREREREQP5fWBvcT27ZIuASYDDwLtQMfC9r2BkyUtA9wP7NNQ9yVJ+wOXS3qCalBho5L9Y+B4YEoZDJgO9Pi1grYflfRfwFiqp/R/sf1ngFbppd4sSZ8BLpX0rO2TWnRxEbB1OX9TLSf4l6RW6euX9v8t6WPAXyXta/vWZo1vvPpg2vMKtIiIiIiIiLmoWmIevUHSQNszyw3/eGB/2xN7O67FQVtbm9vb23s7jIiIiIiIiF4haYLttmZ5mRHQu0ZL2oBqQ7/fZxAgIiIiIiIiFrQMBPQi25/r7RgiIiIiIiKib8lmgRERERERERF9SAYCIiIiIiIiIvqQDARERERERERE9CEZCIiIiIiIiIjoQxbLzQIlnQr80vZd87HN5YHP2T6pB3UOB2ba/sV8iuEm29vMj7beKvPrGkgaA1xm+/zulJ/68AyGHHz5m+kyos+afvSuvR1CRERERCxAi+WMANtfnp+DAMXywFfnc5s9sggOAiyWA00RERERERGLskV6IEDSspIulzRZ0p2SRpb06yS1leMvSbq3pJ0i6dclfYykEyTdJOl+SSNq7X5X0u2Spkg6oiQfDawtaZKkY5vE8sVSfrKkM5vk71fanCzpAknLlPQ9S+yTJY0vaRtKuq30NUXSOiV9Zq2970maWuodXdIOlHRXqfPHJjGMkvRnSVdI+rukH9XyLpY0QdI0SfvX0mdK+m9JEyVdI2nlkr52aWeCpOslrV+7rr+UNBY4pjSzqaRrJd0nab9SbmBpb2I5j917cC1/XPpZpH+/ERERERERvWFRf2L7YeAR27sCSBpcz5S0GnAo8H7gOeBaYHKtyKrAMGB94BLgfEm7AOsAWwICLpG0PXAwsJHtoY1BSNoQOATY1vYTklZoEuuFtk8p5X8CfAk4ETgM+A/bD5flBwAHAL+yfbaktwH9Gvr7CLAHsJXtF2r9HQysZfvlWluNtgQ2Al4Abpd0ue12YF/bT0lauqRfYPtJYFlgou3/lHQY8CPg68Bo4ADb90naCjgJ2Kn0sS6ws+1ZZWnAJsAHSlt3SLoceAz4hO1nJa0E3CLpEmCDzq6lpJ8Dg4F9bLvFOUZEREREREQLi/oT1anAzpKOkbSd7RkN+VsC42w/ZftV4LyG/Ittzy7LCFYpabuUf3cAE6kGCdbpIo6dgPNtPwFg+6kmZTYqT86nAnsBG5b0G4Ex5Ul5xw3/zcAPJH0feLftFxva2hk43fYLDf1NAc6W9HngtRaxXm37ydLmhVQDIQAHSpoM3AK8q3bOs4Fzy/FZwDBJA4FtgPMkTQJ+RzWo0uE827Nqn/9s+8VyfcYyZ5Dlp5KmAH8DVqf6Djq7locCy9v+f80GASTtL6ldUvusFxp/ChEREREREQGL+ECA7XuBzakGBH5WnljXqYsmXm5SVsDPbA8t/95r+3+6aEdAV0+nxwBft70xcAQwoJzDAcAPqW6+J0la0fYfgI8DLwJXStqpoa1W/e0K/IbqmkxQ8zX6jfUsaTjV4MLWtjelGgQZ0OI8TPW7eaZ2jYbafl+tzPNd9Uk1GLIysHmZZfHv0mdn1/J2YPMWMy6wPdp2m+22fssMblYkIiIiIiKiz1ukBwLK1P8XbJ8F/IJqCUDdbcAOkt5eboo/1Y1mrwT2LU+9kbS6pHdQLS0Y1KLONcCnJa1Y6jS7UR0EPCqpP9VNcMc5rG37VtuHAU8A75L0HuB+2ydQLVnYpKGtq0qMHfsMrFDWy7/L9ljge1SbGw5sEseHSvmlqZYX3Eg11f7pssxgfapp/B2WADr2T/gccIPtZ4EHJO1Z+pekTVtcG4DdJQ0o12c41Q39YOAx269K2hF4dynb2bW8gmqvhssltfouIiIiIiIiohOL+h4BGwPHSpoNvAp8pZ5Z1t3/FLgVeAS4C+h0zrjtqyS9D7hZEsBM4PO2/0/SjZLuBP5q+7u1OtMkHQWMkzSL6on6qIamDy1xPEg1g6HjRvZYVZsBiuomeDLVWv/PS3oV+BdwZEOMV0gaCrRLegX4C9Xa/bPKPgkCjrP9TJNTvAE4E3gv8Afb7WW5wgFlmv7fqZYHdHge2FDShHLtRpb0vYDfSvoh0B/4I2/cf6HuNuByYE3gx7YfkXQ2cKmkdmAScE93rqXt88ogwCWSPtpk2QQAG68+mPa8Ai0iIiIiImIuWtz3W5M00PbMMiPgIuA02xf1dly9QdIooM3213tQZ6btZjMLFmptbW1ub2/v7TAiIiIiIiJ6haQJttua5S3SSwO66fCyod2dwAPAxb0aTUREREREREQvWtSXBnTJ9kG9HcPCwvYYqk0Le1JnkZsNEBEREREREa31hRkBEREREREREVFkICAiIiIiIiKiD8lAQEREREREREQfkoGAiIiIiIiIiD5ksd8sMPqmqQ/PYMjBl/d2GBGLlelH79rbIURERETEfJAZAb1E0sy3oI8xkkZ0N72bba4s6VZJd0jariFvuqSV5jXe+RFfREREREREdC4zAhZxkpa0/dpb2OUHgXts7/0W9hkRERERERHzSWYE9DJJAyVdI2mipKmSdi/pQyTdWSt3kKTDy/F1kn4qaRzwTUmbSxonaYKkKyWt2oP+m9aVtJ+k2yVNlnSBpGUkDQV+DnxU0iRJSzdp8ruSbiv/3lvaenc5xynl75qdpTfE9+MyQ2AJSUdLuquU/0V3zzEiIiIiIiLmyEBA73sJ+ITt9wM7Av8tSd2ot7ztHYATgBOBEbY3B04DjupOx5L6d1L3Qttb2N4UuBv4ku1JwGHAubaH2n6xSbPP2t4S+DVwfEn7NXCG7U2As0vMnaV3xPdz4B3APsDywCeADUv5nzQ5n/0ltUtqn/XCjO5cgoiIiIiIiD4nSwN6n4CfStoemA2sDqzSjXrnlr/rARsBV5fxg37Ao93su7O6G0n6CdUN+EDgym62eU7t73HleGvgk+X4TKpZBZ2lAxwK3Gp7fwBJz1INmpwq6XLgssaObY8GRgMsteo67ma8ERERERERfUoGAnrfXsDKwOa2X5U0HRgAvMYbZ2wMaKj3fPkrYJrtreeh787qjgH2sD1Z0ihgeDfbdIvjVmVapd8ObC5pBdtP2X5N0pZUexR8Bvg6sFM3Y4qIiIiIiIgiSwN632DgsTIIsCPw7pL+b+AdklaUtBSwW4v6fwdWlrQ1VNP9JW3Yzb47qzsIeLQsH9irB+czsvb35nJ8E9XNO6WtG7pIB7gCOBq4XNIgSQOBwbb/AnwLGNqDmCIiIiIiIqLIjIDedzZwqaR2YBJwD0AZGDgSuBV4oCO9ke1Xyqv2TpA0mOo7PR6Y1lXHXdQ9tPT9IDCVamCgO5aSdCvVINNnS9qBwGmSvgs8TrXmv7P0jvjOkzQIuAT4HPBnSQOoZjJ8u7MgNl59MO1553lERERERMRcZGcpdSx+2tra3N7e3tthRERERERE9ApJE2y3NcvL0oCIiIiIiIiIPiQDARERERERERF9SAYCIiIiIiIiIvqQDARERERERERE9CEZCIiIiIiIiIjoQ/L6wFgsTX14BkMOvry3w4hYrE3PKzojIiIiFkmZEdADkg6Q9MUelB8i6XMLOKZRklarfT5V0gZd1PmWpGVqn2cuyBgb+h4uaZu3qr+IiIiIiIh4owwE9IDtk22f0YMqQ4AFOhAAjAJeHwiw/WXbd3VR51vAMl2UWVCGAz0aCJDUb8GEEhERERER0fcsUgMB5Qn7PZJ+L2mKpPM7nmxL2lzSOEkTJF0padWSfp2kYyTdJuleSduV9GUk/am0c66kWyW1lbyZtT5HSBpTjg+XdFBn7TY4GthO0iRJ35b0F0mblPp3SDqsHP9Y0pfL8Xcl3V7iOqJ23ndLOkXSNElXSVpa0gigDTi79LF0iavjPHaRdLOkiZLOkzRQ0oFUAwdjJY2tnedRkiZLukXSKk2u/UBJp0uaWmL7VKs+Svp0SUeU9KmS1pc0BDgA+HaJdztJY8p5dPQzs/wdLmmspD8AU8s1+mZDvAd264cTERERERERr1ukBgKK9YDRtjcBngW+Kqk/cCIwwvbmwGnAUbU6S9rekupJ+I9K2leBp0s7PwY2n4dYmrVbdzBwve2hto8DxlMNDCwHvAZsW8oNA66XtAuwDrAlMBTYXNL2pcw6wG9sbwg8A3zK9vlAO7BX6ePFjo4lrQT8ENjZ9vtLue/YPgF4BNjR9o6l+LLALbY3LTHu1+RcDgVm2N64XLNrW/VRq/NESf8tcJDt6cDJwHEl3utbX1oo1+EQ2xsA/wPsXc5tCeAzwNn1wpL2l9QuqX3WCzO6aDoiIiIiIqJvWhQ3C/yn7RvL8VnAgcAVwEbA1ZIA+gGP1upcWP5OoJquD9XN968AbN8paco8xNKs3c5cX+J9ALgc+FCZ0TDE9t8l7QfsAtxRyg+kGgD4B/CA7Uk96O8DwAbAjeWavA24uUXZV4DLam1/qEmZnaluvgGw/bSk3broo359PtlFvM3cZvuB0t90SU9K2gxYBbjD9pP1wrZHA6MBllp1Hc9DfxEREREREYu9RXEgoPEGz4CAaba3blHn5fJ3FnPOWd3sY0An5Zq125nbqaby3w9cDaxE9fR9Qi2mn9n+Xb1SmVL/ci1pFrB0F30JuNr2Z7sR16u2O8651bmIua99V3105/q8RpmZomo04W21vOcbyp5KtSfCO6lmfUREREREREQPLYpLA9aU1HHD/1ngBuDvwMod6ZL6S9qwi3ZuAD5dym8AbFzL+7ek95Up6J94E7E+Bwzq+GD7FeCfpd9bqGYIHFT+AlwJ7FtbZ7+6pHf0pI+aW4BtJb23tLWMpHW7qNOZq4Cvd3yQ9PYu+uhuvNOZsyxjd6B/J3UvAj4MbEF1rSIiIiIiIqKHFsUZAXcDe0v6HXAf8Fvbr5QN506QNJjqvI4HpnXSzknA78uSgDuAKUDHwvKDqabK/xO4k2qK/ryYArwmaTIwpuwTcD3wQdsvSLoeWKOkYfsqSe8Dbi5T7WcCn6d6ot7KGOBkSS8Cr8+IsP24pFHAOZKWKsk/BO6lmj7/V0mP1vYJ6MpPgN9IurPEc4TtCzvpo5VLgfMl7Q58AzgF+LOk24BrmHsWwOvK9zwWeMZ2Z9eEjVcfTHvecR4RERERETEXzZkRvvArU+Qvs73RfGirH9Df9kuS1qa6CV23PLWPhVCZoTER2NP2fZ2VbWtrc3t7+1sTWERERERExEJG0gTbbc3yFsUZAfPLMlSv0OtPtdb9KxkEWHiV5RuXARd1NQgQERERERERrS1SAwHl9XNvejZAaes5qo37YhFg+y7gPb0dR0RERERExKJuUdwsMCIiIiIiIiLmUQYCIiIiIiIiIvqQDARERERERERE9CGL1B4BEd019eEZDDn48t4OI6LPmp7Xd0ZEREQstDIjILok6TpJc22sKGmUpF+/hXH8RdLy5fimt6rfiIiIiIiIxUlmBESnJPXrrX5tz6qn2f5o7Xibtz6qiIiIiIiIRV9mBCymJH1P0oHl+DhJ15bjD0o6qxx/VtJUSXdKOqZWd6akIyXdCmzd0O4+ku6VNA7YtkXfUyUtr8qTkr5Y0s+UtLOkIZKulzSx/Num5A+XNFbSH4CpTdqdLmmljhjnw2WKiIiIiIjoczIQsPgaD2xXjtuAgZL6A8OA6yWtBhwD7AQMBbaQtEcpvyxwp+2tbN/Q0aCkVYEjqAYAPgRs0KLvG0uZDYH7a3F8ALgFeAz4kO33AyOBE2p1twQOsd2q7ZYk7S+pXVL7rBdm9LR6REREREREn5CBgMXXBGBzSYOAl4GbqQYEtgOuB7YArrP9uO3XgLOB7UvdWcAFTdrcqlbnFeDcFn1fX9raHvgtsLGk1YGnbM8E+gOnSJoKnMcbBxRus/3AvJyw7dG222y39Vtm8Lw0ERERERERsdjLQMBiyvarwHRgH+AmqpvzHYG1gbsBdVL9pcb1+fWmu9F9x2yE7YDrgMeBESUGgG8D/wY2pRqceFut7vPdaD8iIiIiIiLmUQYCFm/jgYPK3+uBA4BJtg3cCuwgaaWyIeBngXFdtHcrMFzSimWZwZ7NCtn+J7ASsI7t+4EbShwdAwGDgUdtzwa+APTKhoQRERERERF9Ud4asHi7HjgEuNn285JeKmnYflTSfwFjqWYH/MX2nztrrNQ5nGqZwaPARFrfxN9ay7se+BnVgADAScAFkvYs/c/3WQAbrz6Y9rzHPCIiIiIiYi6qHg5HLF7a2trc3t7e22FERERERET0CkkTbLc1y8vSgIiIiIiIiIg+JAMBEREREREREX1IBgIiIiIiIiIi+pAMBERERERERET0IRkIiIiIiIiIiOhDMhAQERERERER0Ycs2dsBLG4kHQC8YPuM3o6lg6ThwEG2d5vP7R4OzLT9i/nU3k22t5kfbU19eAZDDr58fjQVEQvQ9KN37e0QIiIiIvqcDATMZ7ZP7u0Y3ixJS9p+7a3ud34NAkRERERERERri93SAElDJN0j6feSpkg6X9IyJW9zSeMkTZB0paRVS/p1ko6RdJukeyVtV9KXkfSn0s65km6V1FbyZtb6HCFpTDk+XNJBnbXbEO9wSeMlXSTpLkknS1qi5H1W0lRJd0o6plZnpqT/ljRR0jWSVq711xHfSpKmN+lvS0k3Sbqj/F2vpI+SdJ6kS4GrmtT7YrkOkyWd2SR/P0m3l/wLatd8zxL/ZEnjS9qG5ZpMKm2u0+Safq+c+2RJR5e0A8s1miLpjy1/BBEREREREdHSYjcQUKwHjLa9CfAs8FVJ/YETgRG2NwdOA46q1VnS9pbAt4AflbSvAk+Xdn4MbD4PsTRrt9GWwH8CGwNrA5+UtBpwDLATMBTYQtIepfyywETb7wfGddJuM/cA29veDDgM+Gktb2tgb9s71StI2hA4BNjJ9qbAN5u0e6HtLUr+3cCXSvphwH+U9I+XtAOAX9keCrQBDzX09xFgD2CrUu/nJetgYLPyfRzQGICk/SW1S2qf9cKMrq9EREREREREH7S4Lg34p+0by/FZwIHAFcBGwNWSAPoBj9bqXFj+TgCGlONhwK8AbN8paco8xNKs3Ua32b4fQNI5pd9XgetsP17Szwa2By4GZgPn1s7vwsYGOzEY+H15Cm+gfy3vattPNamzE3C+7ScAWpTZSNJPgOWBgcCVJf1GYIykP9XivBk4RNIaVAMI9zW0tTNwuu0XGvqbApwt6WKq6/AGtkcDowGWWnUdNz37iIiIiIiIPm5xnRHQeBNoQMA020PLv41t71Ir83L5O4s5AyTqZh8DOinXrN3uxttdHfVfY8532iqmHwNjbW8EfKyh3PMt6qhJjI3GAF+3vTFwREe7tg8Afgi8C5gkaUXbf6CaHfAicKWknRraatXfrsBvqGZmTJC0uA5kRURERERELDCL60DAmpK2LsefBW4A/g6s3JEuqX+Z8t6ZG4BPl/IbUE3d7/BvSe8r6/k/8Sbj3VLSWqWtkaXfW4Edylr/fuU8xpXySwAjyvHnSnmA6cxZvtCR32gw8HA5HtXN+K4BPi1pRQBJKzQpMwh4tCzB2KsjUdLatm+1fRjwBPAuSe8B7rd9AnAJsElDW1cB+9b2GVihXJt32R4LfI85Mw8iIiIiIiKiBxbXJ6p3A3tL+h1wH/Bb269IGgGcIGkw1bkfD0zrpJ2TqKbRTwHuoJqa3rH4/GDgMuCfwJ28uZvSm4GjqQYaxgMX2Z4t6b+AsVRPyP9i+8+l/PPAhpImlHhGlvRfAH+S9AXg2hZ9/byc03c6KfMGtqdJOgoYJ2kW1bUY1VDsUKrBiweBqVQDAwDHlmUIohpQmEx17T4v6VXgX8CRDf1dIWko0C7pFeAvVPsgnFW+OwHH2X6mVcwbrz6Y9ryWLCIiIiIiYi6yF6+l1JKGAJeVqe9vtq1+QH/bL0lam+pGdl3br7zZtmt9DAcOsr1bD+rMtJ2n4Z1oa2tze3t7b4cRERERERHRKyRNsN3WLG9xnREwvywDjC3T3QV8ZX4OAkRERERERES81Ra7gQDb06neDjA/2nqO6vV2C4zt64DrelgnswEiIiIiIiJiniyumwVGRERERERERBMZCIiIiIiIiIjoQzIQEBEREREREdGHZCAgIiIiIiIiog9Z7DYLjACY+vAMhhx8eW+HERFvoelH79rbIUREREQsEjIj4E2SNF3SSgug3VGSfl2OD5D0xXJ8naQF+iaD7pJ0uKSD5mN7N82vtiIiIiIiIqK5zAh4i0nqZ3tWT+rYPrmHfSxp+7UFEcuCZHub3o4hIiIiIiJicdfnZgRIGiLpHkmnSrpT0tmSdpZ0o6T7JG1Zyq0g6WJJUyTdImmTkr6ipKsk3SHpd4BqbX9e0m2SJkn6naR+JX2mpCMl3QpsXT4fJWlyaXuVLmJufPL+eUk3lfi3rJUZLekq4IxyntdLmlj+bVPKDZc0VtIfgKmSfizpm7W+jpJ0YJMYvliuxWRJZzbJ30/S7SX/AknLlPQ9S5yTJY0vaRvWrtMUSet0XKdae9+TNLXUO7qkHSjprlLnj51ds4iIiIiIiGiuzw0EFO8FfgVsAqwPfA4YBhwE/KCUOQK4w/YmJe2Mkv4j4AbbmwGXAGsCSHofMBLY1vZQYBawV6mzLHCn7a1s31A+32J7U2A8sF8P41+2PD3/KnBaLX1zYHfbnwMeAz5k+/0lrhNq5bYEDrG9AfA/wN7lHJYAPgOcXe9M0obAIcBOJeZvMrcLbW9R8u8GvlTSDwP+o6R/vKQdAPyqXKc24KGG/j4C7AFsVer9vGQdDGxWvpMDGgOQtL+kdknts16Y0STEiIiIiIiI6KtLAx6wPRVA0jTgGtuWNBUYUsoMAz4FYPvaMhNgMLA98MmSfrmkp0v5D1LdiN8uCWBpqptxqAYFLqj1/wpwWTmeAHyoh/GfU/ofL2k5ScuX9Etsv1iO+wO/ljS09L9urf5tth8obUyX9KSkzYBVqAY/nmzobyfgfNtPlDpPNYlpI0k/AZYHBgJXlvQbgTGS/gRcWNJuBg6RtAbVAMJ9DW3tDJxu+4WG/qYAZ0u6GLi4MQDbo4HRAEutuo6bxBgREREREdHn9dWBgJdrx7Nrn2cz55qIubnhb52A39v+ryZ5LzWsxX/Vdkcbs+j599DYf8fn52tp3wb+DWxKNfPjpVpevRzAqcAo4J28cYZBBzXps9EYYA/bkyWNAoYD2D5A0lbArsAkSUNt/6Esk9gVuFLSl21f243+dqUaiPk4cKikDbuzF0JERERERETM0VcHArpjPNXU/h9LGg48YfvZss59L+AnZQr720v5a4A/SzrO9mOSVgAG2X5wAcQ2EhgraRgww/aMMguhbjDwkO3ZkvYG+nXS3kXAkVSzCD7XJP8a4KJybk9KWqHJrIBBwKOS+lNdn4cBJK1t+1bgVkkfA95VZlbcb/sESe+hWqJRHwi4CjhM0h9sv1Cu5TPAu2yPlXRDiXNgSZ/LxqsPpj2vEouIiIiIiJhLBgJaOxw4XdIU4AXKOnqqvQPOkTQRGAf8A8D2XZJ+CFxV1tq/CnwNWBADAU+retXecsC+LcqcBFwgaU9gLHPPAnid7VckjQWeafYWAdvTJB0FjJM0C7iDagZB3aHArVTnO5VqYADg2LIZoKgGFCZTrfX/vKRXgX9RDULU+7uiLGlol/QK8BeqvRnOKoMIAo6z/Uyrc4qIiIiIiIjmNGeGevRVZeBiIrBnk/X6i6S2tja3t7f3dhgRERERERG9QtIE223N8vrqWwOikLQB8L9UGyYuFoMAERERERER0VqWBvRxtu8C3tPbcURERERERMRbIzMCIiIiIiIiIvqQDARERERERERE9CEZCIiIiIiIiIjoQ7JHQCyWpj48gyEHX97bYUTEW2z60bv2dggRERERC72FekaApCGSPtfbcSzqJP1F0vILsP09Jd0taaykNkkndFH+Bw2fb1pQsUVERERERMQbLdQDAcAQYKEYCJDUrdkTqiwU17UjFtsftf3MAuzqS8BXbe9ou932gV2Uf8NAgO1tFlxoERERERERUbfAblglfVHSFEmTJZ1Z0t4t6ZqSfo2kNUv6GEknSLpJ0v2SRpRmjga2kzRJ0rcl9ZN0rKTbSxv/r9QfLmmcpD9JulfS0ZL2knSbpKmS1q71c7Kk60u53Ur6AEmnl7J3SNqxpI+SdJ6kS4GrJA0scU8sZXcv5YaUJ+InAROBQyUdV7sW+0n6ZZNr9FtJ7ZKmSTqilj5d0k8l3Vzy3y/pSkn/J+mAWrnv1q7FES1ieVdpb6VOvpePSbq1nPvfJK1S0g+XdJqk68r3MtcNvqTDgGHAyeW7GS7pspI3sHZdp0j6lKSjgaXLd3p2KTez/FVp485SZ2Tt+71O0vmS7pF0tiR197cYERERERERcyyQPQIkbQgcAmxr+wlJK5SsXwNn2P69pH2BE4A9St6qVDeU6wOXAOcDBwMH2e64Yd8fmGF7C0lLATdKuqrU3xR4H/AUcD9wqu0tJX0T+AbwrVJuCLADsDYwVtJ7ga8B2N5Y0vpUN/3rlvJbA5vYfkrVrIBP2H623FjfIumSUm49YB/bX5W0LDBF0vdsvwrsA/y/JpfqkNJuP+AaSZvYnlLy/ml76zKgMAbYFhgATKO66d4FWAfYEhBwiaTtgX/UYynXravv5QbgA7Yt6cvA94D/LHnrAzsCg4C/S/ptOSfKNTtS0k7le2qXNLx2foeW72vj0v/bbV8g6eu2hza5Hp8EhlJ9lysBt0saX/I2AzYEHgFuLNfjhnrl8vvYH6Dfcis3aT4iIiIiIiIW1GaBOwHn234CwPZTJX1rqps9gDOBn9fqXGx7NnBXxxPpJnYBNtGcGQODqW6GXwFut/0ogKT/AzoGCKZS3ch2+FPp5z5J91Pd6A4DTiyx3iPpQaBjIODqWvwCflpuuGcDqwMdsT5o+5bSxvOSrgV2k3Q30N/21Cbn8+ly87ok1UDIBkDHQEDHAMNUYKDt54DnJL2kar3/LuXfHaXcwHIt/lGPpUGr72UN4FxJqwJvAx6o1bnc9svAy5IeK+f7UJO2m9kZ+EzHB9tPd1F+GHCO7VnAvyWNA7YAngVus/0QgKRJVAM6bxgIsD0aGA2w1KrruJsxRkRERERE9CkLaiBAQHduxOplXm6o36rdb9i+8g2J1VPoev3Ztc+zeeN5NsblTvoDeL52vBewMrC57VclTad6St9YDuBUqrXw9wCnz3Ui0lrAQcAWtp+WNKbWFg3xN57bkiXmn9n+XUO7Q5rE8no2zb+XE4Ff2r6kXMvDm8QBMIue/Wa6+zuol2/lzcQRERERERERxYLaI+AaqqfdKwLUpqDfxJwnxHvR8ES3ieeopqR3uBL4iqT+pd11yzT8nthT0hKq9g14D/B3YHyJh7IkYM2S3mgw8FgZBNgReHerTmzfCryLarPDc5oUWY7qhn1GmQHxkR6ex5XAvpIGlrhXl/SOLuq0+l4GAw+X4717GEdnrgK+3vFB0tvL4asd32GD8cBIVXtBrAxsD9w2H+OJiIiIiIjo8xbIU1Xb0yQdBYyTNItq+voo4EDgNEnfBR6nWjvfmSnAa5ImU62T/xXVlPCJZbO4x5mzx0B3/R0YRzXF/QDbL5WN9U6WNBV4DRhl++Um+9GdDVwqqR2YRPW0vzN/AoY2mxJve7KkO6jW/N9Pte6922xfJel9wM0lzpnA56melreq0+p7ORw4T9LDwC3AWj2JpRM/AX4j6c4S1xHAhVTT96dImmh7r1r5i6iWj0ymmknwPdv/Kvs29MjGqw+mPe8Tj4iIiIiImIvsvrOUuky/v8z2+W9Rf5cBx9m+5q3oL+Zoa2tze3t7b4cRERERERHRKyRNsN3WLG+heN/94kbS8pLuBV7MIEBEREREREQsTPrUhmu2R71F/TzDnLcORERERERERCw0MiMgIiIiIiIiog/JQEBEREREREREH5KBgIiIiIiIiIg+pE/tERB9x9SHZzDk4Mt7O4yIWIhNzytGIyIioo/qczMCJA0p77XvSZ0xkkaU4+skNX0FQzfaGS5pm9rnAyR9cV7aWpAkjZL06wXQ7pGSdu7tOCIiIiIiIvqyzAh4aw0HZgI3Adg+eX53IEmAbM+e32130ueStl/rqpztw1rU72d71vyPLCIiIiIiIhr1uRkBxZKSfi9piqTzJS0DIOkwSbdLulPS6HJT3ZKk30pqlzRN0hG19OmSjpA0UdJUSetLGgIcAHxb0iRJ20k6XNJBpc51ko6RdJukeyVtV9L7STq2xDVF0v9rEscQSXdLOgmYCLxL0ndrdeqxXSxpQol5/1r6PqXfccC2tfSVJV1Q2rpd0rYl/fByja4CzmgS0/fKuU+WdHRJq8+smF6u9w3AnpI+XK7XZEnXNGmvaRwRERERERHRM311IGA9YLTtTYBnga+W9F/b3sL2RsDSwG5dtHOI7TZgE2AHSZvU8p6w/X7gt8BBtqcDJwPH2R5q+/om7S1pe0vgW8CPStqXgBm2twC2APaTtFaLczrD9mbleB1gS2AosLmk7Uu5fW1vDrQBB0paUdKqwBFUAwAfAjaotfurEvMWwKeAU2t5mwO72/5cPRBJHwH2ALayvSnw8ybxArxkexhwDXAK8KlSfs8mZTuLo6Pf/cvATPusF2a06DIiIiIiIqJv66tLA/5p+8ZyfBZwIPALYEdJ3wOWAVYApgGXdtLOp8tT9SWBValuoKeUvAvL3wnAJ7sZV73OkHK8C7BJx5N0YDDVTf4DDXUftH1Lrc4uwB3l88BSZzzVzf8nSvq7Svo7getsPw4g6Vxg3VJmZ2CD2uSI5SQNKseX2H6xyXnsDJxu+wUA20+1ON9zy98PAONtP9BJ+aZx2H6uI8H2aGA0wFKrruMWfUZERERERPRpfXUgoPEm0ZIGACcBbbb/KelwYECrBspT+YOALWw/LWlMQ/mXy99ZdP86N6sj4Bu2r+yi7vP18ICf2f5dQ8zDqW6ot7b9gqTrajG3unFeopR/ww1/uSF/vmmNqv/u3Ih31O9O+aZxRERERERERM/01aUBa0rauhx/FriBOTfET0gaCIxoWnOO5ahuZGdIWgX4SDf6fQ4Y1GWpN7oS+Iqk/gCS1pW0bDfq7FvOA0mrS3oH1WyCp8sgwPpUT+IBbgWGl2UC/Xnj1PyrgK93fJA0tBsxX1X679h7YYUuyt9MtbRirU7Kz0scERERERER0aCvzgi4G9hb0u+A+4DflpvjU4CpwHTg9s4asD1Z0h1UywfuB27srHxxKXC+pN2Bb3Qz1lOplglMLJsXPk61/r6z2K6S9D7g5vLkfibweeAK4ABJU4C/A7eU8o+WGRA3A49SbTjYrzR3IPCbUmdJquUFB3TR/xXlRr1d0ivAX4AfdFL+8bLE4kJJSwCPUe1VUNejODZefTDteUd4RERERETEXGRnKXUsftra2tze3t7bYURERERERPQKSRPK5vZz6atLAyIiIiIiIiL6pAwERERERERERPQhGQiIiIiIiIiI6EMyEBARERERERHRh2QgICIiIiIiIqIPyUBARERERERERB+yZG8H0NskTQfabD8xH9oaDhxke7cmeacCv7R9V4u6o4CrbD/Swz6PBMbb/lsP6w0BLrO9UU/qLSqmPjyDIQdf3tthRMRibvrRu/Z2CBERERE91ucHArpD0pK2X3szbdj+chdFRgF3At0eCJDUz/ZhbyaubrQ/a0G1HxEREREREW+9xW5pgKQDJE0q/x6QNLak7yLpZkkTJZ0naWCt2ncl3Vb+vbeUHyPpl6X+MZK2lHSTpDvK3/VahDBQ0vmS7pF0tiSV9q6T1CapX2n7TklTJX1b0gigDTi7xL20pA+WvqZKOk3SUqWd6ZIOk3QDsGdpa0TJ26LENrmcyyBJQyRdX857oqRturh+wyWNlfQHYKqkAZJOL3HcIWnHUm6UpIslXVqu89clfaeUuUXSCqXcfpJuLzFdIGmZ2vU9ocR7f8c5lLzvlf4mSzq6pK0t6QpJE8r5rN+jH0ZEREREREQA3ZwRIGkTYEi9vO0LF1BMb4rtk4GTJfUHrgV+KWkl4IfAzrafl/R94DvAkaXas7a3lPRF4HigY2r/uqXOLEnLAdvbfk3SzsBPgU81CWEzYEOqJ/s3AtsCN9TyhwKrd0zJl7S87WckfZ1qWUG7pAHAGOCDtu+VdAbwlRIbwEu2h5X6Hy5/3wacC4y0fXuJ90XgMeBDtl+StA5wDtWgQ2e2BDay/YCk/yzXdeNy832VpHVLuY3K+Q4A/hf4vu3NJB0HdFzLC22fUmL8CfAl4MRSf1VgGLA+cAlwvqSPAHsAW9l+oWNAARgNHGD7PklbAScBO9WDlrQ/sD9Av+VW7uIUIyIiIiIi+qYuBwIknQZsAkwDZpdkAwvlQEDNr4BrbV8qaTdgA+DG8oD+bcDNtbLn1P4eV0s/rzY1fjDw+3IzbaB/i35vs/0QgKRJVAMo9YGA+4H3SDoRuBy4qkkb6wEP2L63fP498DXmDASc26LOo7ZvB7D9bIlhWeDXkoYCs6gGN7pym+0HyvEwyo277XskPVhrY6zt54DnJM0ALi3pU6l+MwAblQGA5YGBwJW1fi62PRu4S9IqJW1n4HTbL5Q+nyqzN7YBzivfH8BSjUHbHk01YMBSq67jbpxnREREREREn9OdGQEfsL3BAo9kPlK18d67ga93JAFX2/5siypucfx87fjHVDe+n1C10d51Ldp6uXY8i4ZrbPtpSZsC/0F1c/9pYN/GU2jRdrO46nWa3fx+G/g3sCnVUpCXumi7sf3OYqmf6+za59nMOe8xwB62J5fvZXiL+qr9bTyPJYBnbA/tIu6IiIiIiIjoQnf2CLhZ0iIzECBpc+Ag4PPlaTPALcC2mrP+f5na9HaAkbW/9ZkCdYOBh8vxqDcR30rAErYvAA4F3l+yngMGleN7gCEd8QJfAMZ10fQ9wGqStij9DJK0ZIn70XItvgD062HI44G9SpvrAmsCf+9B/UHAo2Wpxl7dKH8VsG9tL4EVyuyGByTtWdJUBlMiIiIiIiKih7ozI+D3VIMB/6J6givAtjfpvFqv+TqwAjC2TCNvt/3l8jT6nI5N96j2DOiYer+UpFupBkZazRr4OdXSgO9Q7T0wr1YHTpfUMQjzX+XvGKq9DV4Etgb2oZoKvyRwO3ByZ43afkXSSOBESUtT7Q+wM9Va+gvKTfRYms8m6MxJJa6pwGvAKNsv16bod+VQ4FbgQaolA4M6K2z7irKMoV3SK8BfgB9QDSL8VtIPqZZl/BGY3KqdjVcfTHte6xURERERETEX2Z0vpZb0v1Qb601lzh4B2H5wwYYWMe/a2trc3t7e22FERERERET0CkkTbDfdKL47MwL+YfuS+RxTRERERERERPSC7gwE3FPeKX8ptc3dFtbXB0ZEREREREREa90ZCFiaagBgl1raovD6wIiIiIiIiIho0OVAgO193opAIiIiIiIiImLB63IgQNIA4EvAhsCAjnTb+y7AuCIiIiIiIiJiAVii6yKcCbwT+A+qd9mvQfXO+4iIiIiIiIhYxHTn9YF32N5M0hTbm0jqD1xpe6e3JsRFg6RvAaNtv/Am2tgDuNf2XT2sdx1wkO1F4n15jecp6UhgvO2/za8+llp1Ha+69/Hzq7mIiC5NP3rX3g4hIiIi4nWdvT6wOzMCXi1/n5G0ETAYGDKfYlucfAtYpicVJPVrSNoD2KBF2e5s7LjQaHJudXtQO0/bh83PQYCIiIiIiIhorTsDAaMlvR34IXAJcBdwzAKNaiEmaVlJl0uaLOlOSSMlHQisBoyVNLaU+62kdknTJB1Rqz9d0mGSbgD2rKVvA3wcOFbSJElrS7pO0k8ljQO+KWlzSeMkTZB0paRVG2JbQtLvJf2kSdwflXSPpBsknSDpstr5nCbpdkl3SNq9pI+SdKGkKyTdJ+nntbZ2kXSzpImSzpM0sNm5SdqvtDtZ0gWSlmlxnmMkjShtfLDEMbXEtVSt7SNKn1MlrT8fvs6IiIiIiIg+p9OnzJKWAJ61/TQwHnjPWxLVwu3DwCO2dwWQNNj2DEnfAXa0/UQpd4jtp8qT8WskbWJ7Ssl7yfaweqO2b5J0CXCZ7fNL2wDL296hLMkYB+xu+3FJI4GjgI5NG5cEzgbutH1Uve2y4ePvgO1tPyDpnFr2IcC1tveVtDxwm6SOp/NDgc2oXh/5d0knAi9SDQrtbPt5Sd8HvgMc2Xhukla0fUo5/gnwJdsntjjPjjjHAB+0fa+kM4CvAMeXtp+w/X5JXwUOAr7c/CuKiIiIiIiIVjqdEWB7NvD1tyiWRcVUYGdJx0jazvaMFuU+LWkicAfVGxfqU/7P7UF/HWXXAzYCrpY0iepmfI1aud/RZBCgWB+43/YD5XN9IGAX4ODS5nVUb4ZYs+RdY3uG7ZeoZoK8G/hAOZcbS529S3qzc9tI0vWSpgJ7UV2HzqwHPGD73vL598D2tfwLy98JNFmeImn/MgujfdYLrb6WiIiIiIiIvq07686vlnQQ1Q3e8x2Jtp9aYFEtxMqT6s2BjwI/k3SV7SPrZSStRfXEegvbT0saQ+3Vi9SuYzd0lBUwzfbWLcrdBOwo6b/LjfsbQuqkfQGfsv33NyRKW1HNBOgwi+r3IuBq25/tIl6onu7vYXuypFHA8E7i6CpOavF0xPIGtkcDo6HaLLCLtiIiIiIiIvqk7uwRsC/wNaqlARPKv0Vid/oFQdJqwAu2zwJ+Aby/ZD0HDCrHy1HdEM+QtArwkW42X2+j0d+BlSVtXeLoL6n+hP1/gL8A52nujQXvAd4jaUj5PLKWdyXwDZX5+ZI26yLGW4BtJb23lF9G0rotyg4CHi3LGvaqpbc6z3uAIR1tA1+gWg4RERERERER80mXMwJsr/VWBLII2Zhqo7vZVG9U+EpJHw38VdKjtneUdAcwDbgfuLGbbf8ROEXV5oMj6hm2Xykb6p0gaTDVd3d86aOjzC9L3pmS9ipLO7D9YllXf4WkJ4Dbak3/uLQzpQwGTAd2axVg2Z9gFHBOx0Z+VMsU7m1S/FDgVuBBqiUVHTf/Tc/T9kuS9mHOYMbtwMmtYunMxqsPpj2v8oqIiIiIiJiL7M5nUEv6ZJPkGcBU248tkKhivpM00PbMcrP/G+A+28f1dlwLSltbm9vb++zElYiIiIiI6OMkTbDd1iyvO3sEfAnYGhhbPg+nmh6+rqQjbZ85X6KMBW0/SXsDb6PawPB3vRxPRERERERE9ILuDATMBt5n+98AZc37b4GtqPYNyEDAIqA8/V9sZwBERERERERE93Rns8AhHYMAxWPAuuWtAa8umLAiIiIiIiIiYkHozoyA6yVdBpxXPn8KGC9pWeCZBRVYRERERERERMx/3RkI+BrVzf+2VO95PwO4wNUugzsuwNgiIiIiIiIiYj7rzusDDZxf/kVERERERETEIqzlQICkG2wPk/QcUH/HoKjGB5Zb4NFFzKOpD89gyMGX93YYEREL1PSjd+3tECIiImIR1HKzQNvDyt9Btper/RuUQYAFS9IYSSO6KDNK0mo9bPcASV9skj5E0p3luE3SCV20M1zSNj3pu4v2jpS0c4t+Lptf/UREREREREQXSwMkLQFMsb3RWxRPdN8o4E7gke5WsH1yN8q0A+1dFBsOzARu6m7fXfR52PxoJyIiIiIiIrrW6esDbc8GJkta8y2KZ6El6YuSpkiaLOnMkvZuSdeU9Gs6rlN5ov9bSWMl3S9pB0mnSbpb0phamzMl/bekiaX+yk363VzSOEkTJF0padUyW6ANOFvSJElLNyvXpK3DJR1Ua3eypJupNoTsKPP6U3hJK0i6uJzfLZI2kTQEOAD4dul7u4Y+VpZ0dTmn30l6UNJK9VkHpdxBkg6vXa8R5fjDku6RdAPwyVr5Zcs1vF3SHZJ27+FXGBEREREREXQxEFCsCkwrN6qXdPxb0IEtTCRtCBwC7GR7U+CbJevXwBm2NwHOBupT6t8O7AR8G7gUOA7YENhY0tBSZllgou33A+OAHzX02x84ERhhe3PgNOAo2+dTPbXfy/ZQ4LVm5bo4rdOBA21v3UmZI4A7yvn9oJzrdOBk4DjbQ21f31DnR8C15ZwuAro9iCRpAHAK8DFgO+CdtexDSrtbUL2t4tjyCst6/f0ltUtqn/XCjO52GxERERER0ad05/WBA4Hdap8FHLNgwllo7QScb/sJANtPlfStmfPU+kzg57U6l9q2pKnAv21PBZA0DRgCTAJmA+eW8mcBFzb0ux6wEXC1JIB+wKNN4utuOUoMg4HlbY+rxf6RJkWHUb06EtvXSlqx1O3MMOATpc4Vkp7uonzd+sADtu8rcZ4F7F/ydgE+3jGjARhANchwd0dl26OB0QBLrbpOfYPLiIiIiIiIKLozELBk7YYRAElLL6B4FlbijW9OaKVe5uXyd3btuONzq+ve2IeAaV08te9JuXr57pyPmqR1Va9ZHahmLdRnoAxoUa5V+wI+ZfvvXfQfERERERERnWi5NEDSV8rT7PXKGvGOfw8AU966EBcK1wCflrQiVGvnS/pNwGfK8V7ADT1sdwmg4+0An2tS/+/AypK2Lv32L8sUAJ4DBnWj3FxsPwPMkDSsFnsz4zvyJA0HnrD9bEPfjW4APl3q7EK1RALg38A7yqyCpXjjLJMO9wBrSVq7fP5sLe9K4BsqUx4kbdbq/CIiIiIiIqK1zmYE/AH4K/Az4OBa+nO1qfF9gu1pko4CxkmaBdxBtWv/gcBpkr4LPA7s08Omnwc2lDQBmAGMbOj3lbKJ3gllSv6SwPHANGAMcLKkF6mWKLQq18o+JfYXqG6ymzkcOF3SFOAFYO+Sfilwftmw7xsN+wQcAZwjaSTVvgePUv1mXpV0JHAr8ADVTf8b2H5J0v7A5ZKeoBpU6HhjxY/LOU0pgwHTaT6YAMDGqw+mPe/XjoiIiIiImIvsLKXuLZJm2h7Y23HMT+Vp/yzbr5UZCr8tGxq+pdra2tze3tVbECMiIiIiIhZPkibYbmuW1509AiJ6Yk3gT5KWAF4B9uvleCIiIiIiIqImAwG9aHGbDQBQdvzP+v2IiIiIiIiFVMvNAiMiIiIiIiJi8ZOBgIiIiIiIiIg+JAMBEREREREREX1I9giIxdLUh2cw5ODLezuMiIiFzvS8WjUiIqLPWyRnBEhaXtJXF3Afe0jaoPb5SEk7d1FnlKTVap+nS1ppQcZZ62uopI++FX3V+hwl6dfzsb2/SFp+frUXERERERERc1skBwKA5YEFOhAA7AG8PhBg+zDbf+uizihgtS7KLChDgR4NBKiy0PwGbH/U9jO9HUdERERERMTibKG5Ceyho4G1JU2SdKykkyR9HEDSRZJOK8dfkvSTcvx5SbeVOr+T1K+kz5R0lKTJkm6RtIqkbYCPA8eW8mtLGiNpRKmzuaRxkiZIulLSqiWvDTi71Fm6xPoNSRMlTZW0fuOJSOon6Rclf4qkb7Tqo6RfJ+mYci73StpO0tuAI4GRpe+Rkg6XdFCtnzslDSn/7pZ0EjAROFTScbVy+0n6ZZM4P1zOY7Kka5rkf0zSrZLukPQ3SauU9B1KTJNK3qByvcaXtDslbVfKvj6DQtIXy/WYLOnMkrZnKT9Z0vju/lgiIiIiIiJijkV1IOBg4P9sD7X9XWA8sF3JW505T/KHAddLeh8wEtjW9lBgFrBXKbMscIvtTUs7+9m+CbgE+G7p4/86OpbUHzgRGGF7c+A04Cjb5wPtwF6lzoulyhO23w/8Fnj9xrxmf2AtYDPbm1ANJDTto1ZnSdtbAt8CfmT7FeAw4NzS97ldXL/1gDNsbwb8Avh46RNgH+D0emFJKwOnAJ8q12nPJm3eAHygtPlH4Hsl/SDga+W6bwe8CHwOuLKkbQpMauhvQ+AQYKfS3zdL1mHAf5S0jzcGIGl/Se2S2me9MKOLSxAREREREdE3LS6bBV4PfKus6b8LeHt5gr41cCCwN7A5cLskgKWBx0rdV4DLyvEE4ENd9LUesBFwdWmrH/BoJ+UvrLX9ySb5OwMn234NwPZTkjbqoo96m0O6iLeZB23fUvp7XtK1wG6S7gb6257aUP4DwHjbD3TE2KTNNYBzy3V/G/BASb8R+KWks4ELbT8k6XbgtDL4cLHtSQ1t7QScb/uJhv5uBMZI+hNzrsHrbI8GRgMsteo67u7FiIiIiIiI6EsWi4EA2w9LejvwYaqn+isAnwZm2n5O1d30723/V5Pqr9ruuGmcRdfXRMA021t3M7yXu2hbQONNa1d9dNUmwGu8ccbHgNrx8w1lTwV+ANxDw2yATmJsdCLwS9uXSBoOHA5g+2hJl1PtX3CLpJ1tj5e0PbArcKakY22f0VV/tg+QtFWpN0nSUNtPdhFXRERERERE1CyqSwOeAwY1pN1MNVV+PNUMgYPKX4BrgBGS3gEgaQVJ756HPgD+DqwsaevSVv8ylb2zOp25CjhA0pIdsXXRR3fjnQ68v9R/P9Xyg6Zs3wq8i2rK/jlNitwM7CBprVqMjQYDD5fjvTsSJa1te6rtY6iWTqxfrv1jtk8B/qcjzpprgE9LWrHeX2nrVtuHAU+UmCMiIiIiIqIHFskZAbaflHSjpDuBv5Z9Aq4HdrH9v5IepJoVcH0pf5ekHwJXqdol/1Xga8CDnXTzR+AUSQcCI2p9v1I2BjxB0mCqa3g8MA0YA5ws6UWqZQndcSqwLjBF0qvAKbZ/3UkfrYwFDpY0CfgZcAHwxfL5duDeLuL4EzDU9tONGbYfl7Q/cGG5fo8x9xKKw4HzJD0M3MKcgYdvSdqRavbCXcBfgc8A3y3nOxP4YkN/0yQdBYyTNAu4g+qNDMdKWodqxsA1wORWJ7Px6oNpz7uyIyIiIiIi5qI5s+KjL5N0GXCc7bneCLAoamtrc3t7e2+HERERERER0SskTbDd1ixvUV0aEPOJpOUl3Qu8uLgMAkRERERERERri+TSgJh/bD9DtTQhIiIiIiIi+oDMCIiIiIiIiIjoQzIQEBEREREREdGHZCAgIiIiIiIiog/JHgGxWJr68AyGHHx5b4cREbHYmp5XtEZERCyyMiPgLSZpiKQ7e1jnOklNX/swjzGsJun8cjxU0kdrecMlbTO/+upGLKMk/bqLMsPL6w0jIiIiIiLiTcpAQB9k+xHbI8rHocBHa9nDgR4NBEjKzJKIiIiIiIhFRAYCeseSkn4vaYqk8yUtAyDpMEm3S7pT0mhJqtX5vKSbSt6WkpaQdJ+klUvdJST9r6SV6h1J2kHSpPLvDkmDOmYlSHobcCQwsuR/HzgA+Hb5vJ2klSVdUOK6XdK2pd3DS4xXAWdI2lDSbaXeFEnrNJ60pA9LmihpsqRrmuSPkTSi9nlmLXs5SRdJukvSyZLy242IiIiIiJgHeZLbO9YDvmT7RkmnAV8FfgH82vaRAJLOBHYDLi11lrW9jaTtgdNsbyTpLGAv4HhgZ2Cy7Sca+joI+FrpayDwUkeG7VckHQa02f566XdpYKbtX5TPfwCOs32DpDWBK4H3lSY2B4bZflHSicCvbJ9dBhj61YMoAxanANvbfkDSCj28ZlsCGwAPAlcAnwTOb+hjf2B/gH7LrdzD5iMiIiIiIvqGPFXtHf+0fWM5PgsYVo53lHSrpKnATsCGtTrnANgeT/V0fHngNOCLJX9f4PQmfd0I/FLSgcDytl/rYaw7A7+WNAm4pPQ9qORdYvvFcnwz8IMyq+DdtfQOHwDG236gnMdTPYzjNtv3255FdS2GNRawPdp2m+22fssM7mHzERERERERfUMGAnqHGz9LGgCcBIywvTHV0/MBndWx/U/g35J2ArYC/jpXR/bRwJeBpYFbJK3fw1iXALa2PbT8W932cyXv+Vo/fwA+DrwIXFliqlOTc2j0WumPsizibfVTaSjbVVsRERERERHRRAYCeseakrYux58FbmDOTf8TZQr/iIY6IwEkDQNm2J5R0k+lmlXwp/K0/A0krW17qu1jgHagcSDgOWBQJ5+vAr5ea29osxOS9B7gftsnUM0c2KShyM3ADpLWKuWbLQ2YTrXcAGB3oH8tb0tJa5W9AUZSXbOIiIiIiIjooewR0DvuBvaW9DvgPuC3tl+QdAowleqG+PaGOk9LuglYjmoZQIdLqJYENFsWAPAtSTsCs4C7qGYNrFrLHwscXKb+/4xqT4LzJe0OfAM4EPiNpClUv5fxVBsKNhpJtaHhq8C/qDYhfJ3tx8sa/gvLzfxjwIca2jgF+LOk24BrqM04oBpIOBrYuMRwUYvzBWDj1QfTnndcR0REREREzEV2ZlgvyiS1UW3mt11vx7IwaWtrc3t7e2+HERERERER0SskTbDd1iwvMwIWYZIOBr5C9eaAiIiIiIiIiC5lj4BFmO2jbb/bdtbLR0RERERERLdkICAiIiIiIiKiD8lAQEREREREREQfkoGAiIiIiIiIiD4kAwERERERERERfUjeGvAWkTTT9kBJqwEn2B4haSiwmu2/lDLDgVds31Q+Hw7MtP2LBR1Xk/QxwGW2z3+T7Q8HDrK925tpp7TVNNZmpj48gyEHX/5mu4yIiG6afvSuvR1CREREdFNmBLzFbD9ie0T5OBT4aC17OLDNWx1TRERERERE9B0ZCHiLSRoi6U5JbwOOBEZKmiTp+8ABwLfL5+0a6q0t6QpJEyRdL2n9Jm2vLOlqSRMl/U7Sg5JWKnnfKf3eKelbTepK0q8l3SXpcuAdtbzNJY0rfV8padWSfp2kYyTdJunexphrlpN0UWn7ZElLlPqflTS1xHRMrb+m6bX8lSTdLCmPnyIiIiIiInooSwN6ie1XJB0GtNn+OoCkpaktBZD0wVqV0cABtu+TtBVwErBTQ7M/Aq61/TNJHwb2L+1sDuwDbAUIuFXSONt31Op+AlgP2BhYBbgLOE1Sf+BEYHfbj0saCRwF7FvqLWl7S0kfLf3v3OR0twQ2AB4ErgA+Kekm4Bhgc+Bp4CpJewC3NUu3fXE5l1WAS4Af2r663omk/TvOud9yKzcJIyIiIiIiIjIQsAiQNJBqycB5kjqSl2pSdBjVDT22r5D0dC39ItvPl/YuBLYD6gMB2wPn2J4FPCLp2pK+HrARcHXpux/waK3eheXvBGBIi1O4zfb9pe9zSjyvAtfZfrykn11icIv0i4H+wDXA12yPa+zE9miqAROWWnUdt4glIiIiIiKiT8tAwKJhCeAZ20O7KKcepjdqdvMsYJrtrVvUebn8nUXr31Nju+4kps5ifY1qwOE/gLkGAiIiIiIiIqJr2SOgdz0HDOrkMwC2nwUekLQnvL6ef9Mm7d0AfLqU2QV4e0kfD+whaRlJy1LNGri+oe544DOS+pU9AHYs6X8HVpa0dWm3v6QNe3ieW0paq+wNMLLEeSuwQ1nv3w/4LNXNfat0qAYQ9gXWl3RwD2OIiIiIiIgIMiOgt40FDpY0CfgZcClwvqTdgW80lN0L+K2kH1JNkf8jMLmhzBHAOWUd/ziqKfzP2Z5YXgd4Wyl3asP+AAAXUe05MBW4t9Tv2MtgBHCCpMFUv5njgWk9OM+bgaOp9h8YT7VMYbak/yrXQMBfbP8ZoFV6iWeWpM8Al0p61vZJzTrcePXBtOdVVhEREREREXORnaXUiwtJSwGzbL9WnuD/thvLCRZLbW1tbm9v7+0wIiIiIiIieoWkCbbbmuVlRsDiZU3gT2UK/ivAfr0cT0RERERERCxkMhCwGLF9H7BZb8cRERERERERC69sFhgRERERERHRh2QgICIiIiIiIqIPyUBARERERERERB+SgYCIiIiIiIiIPiSbBcZiaerDMxhy8OW9HUZERBTTj961t0OIiIiIIjMCFhOShkvaZj61NUrSr8vx4ZIOmg9tjpE0okn6apLO70b9mW82hoiIiIiIiMhAwOJkODBfBgLeSrYfsT3XAEFEREREREQsGBkIWMAkLSvpckmTJd0paaSkLSVdWPJ3l/SipLdJGiDp/pK+tqQrJE2QdL2k9Uv6ypIukHR7+betpCHAAcC3JU2StF2t/yUkTZe0fC3tfyWtIuljkm6VdIekv0lapYtzmSsmSYMkPSCpfymzXOmvf5Mmtpd0k6T7O2YHSBoi6c5yvIykP0maIuncEltbrf+jynW8patYIyIiIiIiorkMBCx4HwYesb2p7Y2AK4CJwGYlfzvgTmALYCvg1pI+GviG7c2Bg4CTSvqvgONsbwF8CjjV9nTg5JI+1Pb1HZ3bng38GfgEgKStgOm2/w3cAHzA9mbAH4HvdXEuc8Vk+zngOqBj8edngAtsv9qk/qrAMGA34Ogm+V8Fnra9CfBjYPNa3rLALbY3BcYD+zVWlrS/pHZJ7bNemNHFqURERERERPRN2SxwwZsK/ELSMcBlHTfp5an8+4AtgV8C2wP9gOslDaSa5n+epI52lip/dwY2qKUvJ2lQFzGcCxwGnE51o35uSV8DOFfSqsDbgAdaNdBFTKdSDSJcDOxDk5v04uIyMHFXiyf6w6gGOrB9p6QptbxXgMvK8QTgQ42VbY+mGqxgqVXXcatziYiIiIiI6MsyELCA2b5X0ubAR4GfSbrK9pHA9cBHgFeBvwFjqAYCDqKaqfGM7aFNmlwC2Nr2i/XE2s15MzcD75W0MrAH8JOSfiLwS9uXSBoOHN5JGy1jsn1jmeK/A9DP9p0t2ni5HnKT/M5O4lXbHTf3s8hvNyIiIiIiYp7kZmoBk7Qa8JTts8rO96NK1njgDOAM249LWhF4JzDNtsu6+z1tn6fqLn8T25OBq4CvA8eW9ofangQ8ByzXLIbS3kVUMw/utv1kyRoMPFyO9+7sPGw/20lMlHM5h2pK/7y6Afg0MFbSBsDG89rQxqsPpj2vqoqIiIiIiJhL9ghY8DYGbpM0CTiEOU/jbwVWoRoQAJgCTKk99d4L+JKkycA0YPeSfiDQVjbUu4tqk0CAS4FPNG4WWHMu8HnmLAuAagbAeZKuB57oxrm0igngbODtVIMB8+okYOWyJOD7VNcki/0jIiIiIiLmI82574yYd+UtALvb/sKbaKMf0N/2S5LWBq4B1rX9Sk/bamtrc3t7+7yGEhERERERsUiTNMF2W7O8LA2IN03SiVT7HXz0TTa1DNWygP5U+wV8ZV4GASIiIiIiIqK1DATEm2b7G/OpneeApiNWERERERERMX9kj4CIiIiIiIiIPiQDARERERERERF9SAYCIiIiIiIiIvqQ7BEQi6WpD89gyMGX93YYERGxCJl+9K69HUJERMRbIjMC5iNJS0n6m6RJkkbOYxvDJV02v2Nr6GNmi/Qx5TWA3WljiKQ752NMR0raeX61FxEREREREc1lRsD8tRnQ3/bQ7laQ1M/2rAUXUu/01VO2D+vtGCIiIiIiIvqCzAjogqTvSLqz/PtWLe20crxxyVsTOAsYWmYErC3pg5LukDRV0mmSlip1pks6TNINwJ6SPizpnvL5ky3i+IukTcrxHZIOK8c/lvRlVY4tsUztmJFQZhiMlfQHYGpDm5L0a0l3SboceEeLvt9bZjpMljRR0toN+UMkXV/yJkrapqSvKml8uR53StpOUr8y86Ajzm+Xsq/PRpC0haSbSn+3SRokacNyPEnSFEnr9PjLjIiIiIiIiMwI6IykzYF9gK0AAbdKGgccD1wn6RPAIcD/s/0PSV8GDrK9m6QBwHXAB23fK+kM4CulLsBLtoeVcvcBOwH/C5zbIpzxwHaSpgOvAduW9GFUAxCfBIYCmwIrAbdLGl/KbAlsZPuBhjY/AawHbAysAtwFnNak77OBo21fVOJdgjcOGjwGfMj2S+UG/RygDfgccKXtoyT1A5YpMa5ue6NyjZevdyTpbeUajLR9u6TlgBeBA4Bf2T67lOnXGKSk/YH9Afott3KT04iIiIiIiIjMCOjcMOAi28/bnglcCGxnezYwCjgTGGf7xiZ11wMesH1v+fx7YPtafscN//ql3H22TXVT38z1pf4w4HJgoKRlgCG2/17Sz7E9y/a/gXHAFqXubU0GASjtddR5BLi2sYCkQVQ37hcB2H7J9gsNxfoDp0iaCpwHbFDSbwf2kXQ4sLHt54D7gfdIOlHSh4FnG9paD3jU9u2lv2dtvwbcDPxA0veBd9t+sTFW26Ntt9lu67fM4GbXMCIiIiIios/LQEDn1EneOsBMYLV5qAvwfO3Y3Yjldqqn7NtRzQ64A9gPmNCN/p7vJK+rvrs6D4BvA/+mmo3QBrwNwPZ4qsGGh4EzJX3R9tOl3HXA14BTm/Q3V0y2/wB8nGp2wJWSdupGXBEREREREdEgAwGdGw/sIWkZSctSTaW/XtJg4FdUN7krtthp/x5giKT3ls9foHpK36zcWrV1959tFojtV4B/Ap8GbqGaIXBQ+dsR68iyBn/lEttt3Ti/z5Q6qwI7Nun3WeAhSXvA629GWKah2GCqp/izy3n2K2XfDTxm+xTgf4D3S1oJWML2BcChwPubXI/VJG1R2hgkaUlJ7wHut30CcAmwSRfnFhEREREREU1kj4BO2J4oaQxzbqhPtX1H2SjwpLL2/0vA2Np6/I66L0naBzhP0pJUT/RPbtLHS2Vt++WSngBuADZqEdL1VHsOvCDpemAN5gwEXARsDUymeqL+Pdv/krR+J6d4EdXeBFOBe2k+UAHVzf3vJB0JvArsCcyu5Z8EXCBpT2Asc2YgDAe+K+lVqtkTXwRWB06X1DEI9V8N1+OVstHhiZKWppoBsDMwEvh8aetfwJGdnBcbrz6Y9rwPOiIiIiIiYi6qlqVHLF7a2trc3t7e22FERERERET0CkkTbLc1y8vSgIiIiIiIiIg+JAMBEREREREREX1IBgIiIiIiIiIi+pAMBERERERERET0IRkIiIiIiIiIiOhD8vrAWCxNfXgGQw6+vLfDiIiImMv0vN42IiJ6WZ+bESDpVEkbzOc2l5f01fnZZkRERERERMSC0OcGAmx/2fZd87nZ5YEuBwJUWWSuuaTMGImIiIiIiFjMLDI3pT0laVlJl0uaLOlOSSNL+nWS2srxlyTdW9JOkfTrkj5G0gmSbpJ0v6QRtXa/K+l2SVMkHVGSjwbWljRJ0rENcQyRdLekk4CJwLtatIGkQyXdI+lqSedIOqikry3pCkkTJF0vaf1uxPk9SVPL+R9d2phYy19H0oQm1+06ST+VNA74pqQPSrqjtHWapKVKueml3M2S2iW9X9KVkv5P0gGlzEBJ10iaWOrv3nBNTpE0TdJVkpYuee+V9LcS90RJa3dy3SMiIiIiIqKHFucnvh8GHrG9K4CkwfVMSasBhwLvB54DrgUm14qsCgwD1gcuAc6XtAuwDrAlIOASSdsDBwMb2R7aIpb1gH1sf7WTNl4APgVsRvW9TAQ6btRHAwfYvk/SVsBJwE6dxPkRYA9gK9svSFrB9lOSZkgaansSsA8wpkW8y9veQdIA4D7gg7bvlXQG8BXg+FLun7a3lnRcaWtbYAAwDTgZeAn4hO1nJa0E3CLpklJ3HeCztveT9Kdy7mcBZwNH276o9L9Eq2tme3w9aEn7A/sD9Ftu5RanFhERERER0bctzgMBU4FfSDoGuMz29Q35WwLjbD8FIOk8YN1a/sW2ZwN3SVqlpO1S/t1RPg+kukH9RxexPGj7li7aGAT82faLJZ5Ly9+BwDbAeZI62luqizh3Bk63/QJAxzkCpwL7SPoOMLJcg2bOLX/XAx6wfW/5/Hvga8wZCOi4qZ8KDLT9HPCcpJckLQ88D/y0DHTMBlYHOmJ8oAxIQDXgMUTSIGB12xeVuF8q16DVNXvDQIDt0VSDJiy16jpucW4RERERERF92mI7EFCeYG8OfBT4maSrbB9ZK6IWVTu83KSsgJ/Z/l29oKQhXbT1fENbzdr4dou6SwDPdDLboFWczW6ELwB+RDX7YYLtJ7uIt7vXaHZDHLOpflt7ASsDm9t+9f+3d+9hVpV1/8ffHwdCFERN9EIrx8cHKxVBGXx+aBoW+is1NcVQScUs0ivJ6tFHTFOzLFErM0/h2ULFc3hIxhTBE8qAyMFTKeOTSh5+KYpHGL6/P9Y9stjsPQdkZm9mf17XxTVr3es+fO+1WLNn3etea0tqJJsxUBh3E9CzhfaK7jMzMzMzMzNrv678joDNgfci4s/AeWSPAOQ9DnxZ0kbKXop3UBuqnQJ8J92lR9IWkjYle7SgdxtDK1XHQ8A3JK2btu0DEBFvAwslHZzyS9LAVtqoT22sl8psnOr6ILV/CXBVG2J9huxO/X+m9cOBaW3sJ0Af4LU0CLAHsGVLmVNfX5J0QIq7R+pDqX1mZmZmZmZm7dRlZwQAA4BzJS0HlpI92/6xiHhZ0q+Ax4BXgKeAxS1VGBH1kr4IPJqm6S8Bvh0Rz0t6WNJ84K8RceJq1DEzPT//JPAi0JCLZxRwiaRTge7ADaz8PoPCNu6RNAhokPQRcDfw07R5InAg2WBBiyLiA0lHkT2W0A2YSfbsf1tNBO6Q1ADMIRtYaM3hwB8lnUl23A4utc+A10pVMmCLPjT4e5rNzMzMzMxWoYjqfZRaUq+IWJIucm8Drmx+Pr3M8axH9vz7mIiY3Vq5drZxAtAnIn62JuutNHV1ddHQ0FDuMMzMzMzMzMpC0qyIqCu2rSvPCGiLMyQNJ3tuvR64vbzhMEHStmTxXNMBgwC3AVuz4hsHzMzMzMzMrMpU9UBARJxQ7hjyIuKwDq7/mx1Zv5mZmZmZmVW+LvuyQDMzMzMzMzNblQcCzMzMzMzMzKqIBwLMzMzMzMzMqogHAszMzMzMzMyqSFW/LLAlkhqBuoh4o9yxWPvNe3kxtePuKncYZmZmXVLj2fuUOwQzM/sEPCPgE5DU7oEUSTUdEUtHWdviNTMzMzMzs5ZVzUCApGMkzUn/FkqamtL3kvSopNmSbpLUK1fsREmPp3//mfJfLem3qfx4STtLekTSE+nn54u0PUzSVEnXAfMk1Ug6V9JMSXMlfT/lW0fSxZIWSLpT0t2SRqRtgyVNkzRL0hRJ/VL6A5LGpxifk7RbSq+RdJ6keamNsZK+Kum2XFx7Srq1SLyNkk6T9BBwsKRDUz3zJY3P5VuS2p4l6W9pXzwg6QVJ+6U8tZIeTPt3tqRdcvvkAUk3S3pG0kRJStuGpH35ZOpX71L7zMzMzMzMzNqnah4NiIhLgUsldQfuB34raRPgVGB4RLwr6STgJ8CZqdjbEbGzpCOA84F9U/o2qUyTpA2A3SNimaThwK+Ag4qEsDOwfUQslDQGWBwRQyT1AB6WVA8MBmqBAcCmwNPAlSnmPwD7R8TrkkYCZwHfSXV3S3HuDZwODAfGAFsBO6bYNgbeBC6S1DciXgeOAq4qscs+iIgvSdocmJFiexOol3RARNwOrA88EBEnpQGGXwJ7AtsC1wCTgdeAPSPiA0n9geuButTGjsB2wCvAw8Cukh4HJgEjI2Jm2r/vA0cX22cRsbA54LRfxwDUbNC3RLfMzMzMzMyqW9UMBOT8Hrg/Iu6QtC/ZRevD6Wb0p4BHc3mvz/38XS79pohoSst9gGvSRW4A3Uu0+3juonUvYIfmu/2pjv7Al1Ldy4F/Nc9aAD4PbA/cm+KsARbl6m6+qz+LbCABssGASyNiGUBE/BtA0p+Ab0u6ChgKHFEi3knp5xCyi/3XU/mJwO7A7cBHwD0p3zzgw4hYKmleLo7uwIWSBgFNZIMo+X3yUqp3TiqzGFgUETNT3G+n7aX22ccDARExAZgA0KNf/yjRLzMzMzMzs6pWVQMBkkYDWwLHNScB90bEoSWKRInld3PLvwCmRsQ3JdUCD5SoK19GwNiImFIQX6k37whYEBFDS2z/MP1sYsUxVUHMza4C7gA+IBt0WNZKvCqxHWBpRDS3sbw5johYrhXvT/gx8CowkOxRlA+KxJ2PvVTcRfeZmZmZmZmZtU81vSNgMHAC8O10xx2yKe+75p7/X09S/o71yNzP/EyBvD7Ay2l5dBvDmQIcm6b8I2kbSesDDwEHpXcFbAYMS/mfBfpKGpryd5e0XStt1APHNF+Qp0cDiIhXyKbinwpc3YZYHwO+LGkTZS8OPBSY1sZ+QrZ/FqV9fjjZbIaWPANsLmlIirt36kOpfWZmZmZmZmbtUE0zAo4DNgampun1DRHx3TRL4Pr03DlkF8jPpeUekh4jGzApNWvgHLJHA35C9u6BtricbBr87PSCvNeBA4BbgK8C81MMj5E9F/9RmhJ/gaQ+ZMftfGBBK21sA8yVtBS4DLgwbZsI9I2Ip1oLNCIWSToZmEp2V/7uiPhLG/sJcDFwi6SDUx3vtpQ59XUk8AdJPcneDzCc0vusqAFb9KHBX21kZmZmZma2Cq2Y2W2VQFKviFgi6dPA48CuEfGvNdzGhcATEXHFmqy3ktTV1UVDQ0O5wzAzMzMzMysLSbMioq7YtmqaEbC2uFPShmQvLvxFBwwCzCK7K//fa7JeMzMzMzMzWzt4IKDCRMSwDq5/cEfWb2ZmZmZmZpWtal4WaGZmZmZmZmYeCDAzMzMzMzOrKh4IMDMzMzMzM6siHggwMzMzMzMzqyJ+WeAnJOkMYElEnNdJ7Q0DPoqIR9L61cCdEXFzG8o+EhG7pOVzgb2Bu4EFQH1EvPIJ4loSEb0kbQ5cEBEjJA0CNo+Iu1Oe/YBtI+Ls1W2nrea9vJjacXd1dDNmZmZmna7x7H3KHYKZreU8EFDhJHWLiGW5pGHAEuCRdtRRExFNzYMAyfeBvhHxoaQHgPnAag8ENEuDCSPS6iCgjmywgYiYDEz+pG2YmZmZmZnZ6vOjAatB0imSnpX0N+DzufRBkmZImivpNkkbSfqipMdzeWolzU3LgyVNkzRL0hRJ/VL6A5J+JWkacHy+LHAM8GNJcyTtljbtLukRSS9IGpHyDpM0VdJ1wLyUtiT9nAysDzwmaSTZxfrEVGfPgr5uLemeFOODkr6Q0reS9KikmZJ+UdC/+ZI+BZwJjEz1jpQ0WtKFKd+Wku5L++o+SZ9L6VdLuqBIf/pJmp7qmp/ru5mZmZmZmbWDBwLaSdJg4BBgR+BAYEhu87XASRGxA9nF9+kR8TTwKUn/kfKMBG6U1B34AzAiIgYDVwJn5eraMCK+HBG/aU6IiEbgUuB3ETEoIh5Mm/oBXwL2BfLT7ncGTomIbfN9iIj9gPdTHZOABmBUWn+/oMsTgLEpxhOAi1P674FLImII8K/C/RQRHwGnAZNy7eRdCFyb9tVE4ILctmL9OQyYEhGDgIHAnMI2zczMzMzMrHV+NKD9dgNui4j34OO760jqQ3bxPi3luwa4KS3fCHyL7KJ2ZPr3eWB74F5JADXAolw7hRfOLbk9IpYDT0naLJf+eEQsbEc9K5HUC9gFuCnFCNAj/dwVOCgt/wkY387qh5INpDSXPye3rVh/ZgJXpgGU2yNiTpF4xwBjAGo26NvOcMzMzMzMzKqDBwJWT7Qz/ySyi+lbgYiIv0saACyIiKElyrzbjvo/zC0rt9yeOopZB3gr3YUvpr37oSX5ulbpT0RMl7Q7sA/wJ0nnRsS1K1UQMYFsBgM9+vVfk7GZmZmZmZl1GX40oP2mA9+U1FNSb+AbABGxGHgz9+z64cC0tO15oAn4GSvu9D8L9JU0FEBSd0nbtaH9d4Dea6ozLdUZEW8DCyUdDKDMwLT5YbJHJABGrUasjxSUf6ilACVtCbwWEZcBVwA7tZTfzMzMzMzMivOMgHaKiNmSJpE9o/4i8GBu85HApZLWA14AjsptmwScC2yV6vkovQjvgvRYQTfgfLKv8mvJHcDNkvYHxn7iDmWuTnG/DwwteE/AKOASSacC3YEbgCfJXmJ4naTjgVtK1DsVGCdpDvDrgm0/JJvqfyLwOivvq2KGASdKWkr2rQlHtJR5wBZ9aPBX65iZmZmZma1CEZ5BbV1PXV1dNDQ0lDsMMzMzMzOzspA0KyLqim3zowFmZmZmZmZmVcQDAWZmZmZmZmZVxAMBZmZmZmZmZlXEAwFmZmZmZmZmVcQDAWZmZmZmZmZVxAMBZmZmZmZmZlWkW7kDMOsI815eTO24u8odhpmZmZmtpRrP3qfcIZh1mLLOCJBUK2n+J6xjtKQL11RMuXrPlDR8Tdf7SUmqk3RBueMwMzMzMzOztdNaPSNAUofFHxGndVTdq0tSt4hoABo6sb1lndGWmZmZmZmZdY5KeEdAjaTLJC2QVC+pJ4Ck70maKelJSbdIWi+lXy3pt5KmAuPzFUnqm/LOTP92TemfTnU/IemPkl6UtEnhjARJJ0g6I9fOiLTcKOnnkmZLmifpC4WdSHU9mPLMlrRLSh8maZqkGyU9J+lsSaMkPZ7q2rqV2M+QNEFSPXBtqu/OtK2XpKtSPXMlHZTSL5HUkPbpz3MxtqUfoyXdJOkOoF7SxpJuT/XPkLRDLq5r0n5tlHSgpHNSvfdI6p7ynZb6Mz/1Qyn9AUnj0354TtJuKb1G0nm5Po1N6YPTfpwlaYqkfu37b2ZmZmZmZmZQGQMB/YGLImI74C3goJR+a0QMiYiBwNPA0bky2wDDI+K/C+r6PfC7iBiS6rk8pZ8OPBQROwKTgc+tRpxvRMROwCXACUW2vwbsmfKMBPLT9wcCxwMDgMOBbSJi5xTf2FZiBxgM7B8RhxW0+TNgcUQMiIgdgPtT+ikRUQfsAHy5+eK9jf0AGAocGRFfAX4OPJHq/ylwbS7f1sA+wP7An4GpETEAeD+lA1yYjuP2QE9g31z5bmk//IjsGAGMAbYCdkxtTkyDCn8ARkTEYOBK4KzCoCWNSQMgDU3vLS7RNTMzMzMzs+pWCY8GLIyIOWl5FlCblreX9EtgQ6AXMCVX5qaIaCpS13Bg23TTGWADSb2B3YEDASLiLklvrkact+ZiPLDI9u7AhZIGAU1kgxXNZkbEIgBJzwP1KX0esEcrsQNMjoj3i7Q5HDikeSUimvv1LUljyI5vP2BbYG4b+wFwb0T8Oy1/iTQ4ExH3p9kVfdK2v0bEUknzgBrgnly/atPyHpL+B1gP2BhYANxRJJbm/MOBS5sfSYiIf0vaHtgeuDftnxpgUWHQETEBmADQo1//KNE3MzMzMzOzqlYJAwEf5pabyO4aA1wNHBART0oaDQzL5Xu3RF3rAEMLL5rTxWOxC8NlrDwrYt02xNlE8f32Y+BVsrv/6wAfFCkLsDy3vjxXV0uxl+qvKOiXpK3I7vQPiYg3JV3Nyv1qrR+F7anI9uY2PwSIiOWSlkZEc/pyoJukdYGLgbqI+Gd67KK1WFbpU0pbEBFDS8RrZmZmZmZmbVQJjwaU0htYlKaFj2pjmXrguOaVdHceYHpzHZK+DmyU0l8FNk13uXuw8rT19uoDLIqI5WTT/2vaWb5U7O0psxGwAdmF/GJJmwFfb2cchfL7bhjZowVvt7Fs80X/G5J6ASPaUKYeOEbpRZCSNgaeBfpKGprSukvars09MDMzMzMzs49VwoyAUn4GPAa8SDbVvHfL2QH4IXCRpLlkfZsOHEP2nPv1kmYD04D/BUjT2s9M7SwEnvkE8V4M3CLpYGAqpe/itzf2lvwylZlPdlf95xFxq6QnyKbgvwA83M44Cp0BXJXieg84sq0FI+ItSZeRHb9GYGYbil1O9ljFXElLgcsi4kJlL268ID2W0A04n6yPRQ3Yog8N/u5XMzMzMzOzVWjFbO7qIamRbLr6G+WOxTpGXV1dNDR0yrcsmpmZmZmZVRxJs9JL5FdRyY8GmJmZmZmZmdkaVsmPBnSYiKgtdwxmZmZmZmZm5eAZAWZmZmZmZmZVxAMBZmZmZmZmZlXEAwFmZmZmZmZmVaQq3xFgXd+8lxdTO+6ucodhZmZmZlZUo7/q2sqoImcESLpc0rZpuVHSJpJqJc3v4HZrJR2WWx8kae921rG5pJvbkO+nBeuPtKedFuodJmmXNVFXuUk6oPn/gZmZmZmZma0ZFTkQEBHfjYinytB0LXBYbn0Q0K6BgIh4JSJGtCHrSgMBEbGmLt6HAV1iIAA4APBAgJmZmZmZ2RpU1oEASetLukvSk5LmSxqZ0h+QVFekSI2kyyQtkFQvqWfKP0jSDElzJd0maaPCetKsgsa0XCPpXEkzU5nvp/rPBnaTNEfSScCZwMi0PjLFe2Uq94Sk/Yv06eOZC5JGS7pV0j2S/i7pnJR+NtAz1TsxpS1JP4dJmibpRknPSTpb0ihJj0uaJ2nrlO8bkh5LcfxN0maSaoFjgB+nuneT1FfSLSnmmZJ2LRLzaEm3S7pD0kJJx0n6Sap7hqSN27CffydpuqSnJQ1J/f67pF/m2vl26sccSX+UVNPcd0lnpf8HM1JfdgH2A85N+beW9ENJT6X2b2jb/zIzMzMzMzPLK/eMgK8Br0TEwIjYHrinlfz9gYsiYjvgLeCglH4tcFJE7ADMA05vpZ6jgcURMQQYAnxP0lbAOODBiBgUEeOB04BJaX0ScApwfyq3B9lF6vqttDUIGAkMIBtU+GxEjAPeT/WOKlJmIHB8KnM4sE1E7AxcDoxNeR4C/k9E7AjcAPxPRDQClwK/S3U/CPw+rQ9J++vyEnFuTzYbYmfgLOC9VPejwBEpT0v7+aOI2D21/xfgB6nO0ZI+LemLaT/sGhGDgCague/rAzMiYiAwHfheRDwCTAZOTH15nuz47JjaP6awA5LGSGqQ1ND03uIS3TQzMzMzM6tu5X5Z4DzgPEnjgTvThWtLFkbEnLQ8C6iV1AfYMCKmpfRrgJtaqWcvYAdJzVP4+5ANMnzUhnL7STohra8LfA54uoUy90XEYgBJTwFbAv9spZ2ZEbEolXkeqE/p88gGIAA+A0yS1A/4FLCwRF3DgW0lNa9vIKl3RLxTkG9qSntH0mLgjlybO7RhP0/O5V+Qi/8F4LPAl4DBwMwUS0/gtVTmI+DOtDwL2LNEX+YCEyXdDtxeuDEiJgATAHr06x8l6jAzMzMzM6tqZR0IiIjnJA0mew7/15LqI+LMFop8mFtuIruYbMkyVsx6WDeXLmBsREzJZ5Y0rJX6BBwUEc+2ki+vMOa27PN8meW59eW58n8AfhsRk1PcZ5Soax1gaES8vwbabEv5fNl8eQHXRMTJRcoujYjmC/eW9tE+wO5kjwz8TNJ2EbGsDbGZmZmZmZlZUu53BGxONgX9z8B5wE7trSPdbX9T0m4p6XCg+a51I9ldaID8C/ymAMdK6p7i2CZN8X8H6J3LV7g+BRirdEtb0o7tjTdnaXP7q6kP8HJaPjKXXhhzPXBc84qkQavTWCv7uS3uA0ZI2jTFsbGkLVsp83FfJK0DfDYipgL/A2wI9GpH+2ZmZmZmZkb5Hw0YQPac/XJgKXDsatZzJHCppPWAF4CjUvp5wI2SDgfuz+W/nOwbAmani/rXyd5QPxdYJulJ4Gqy6e/jJM0Bfg38AjgfmJvKNQL7rmbME1I9s0u8J6A1ZwA3SXoZmAFsldLvAG5W9iLDscAPgYskzSU73tMp8nx9G5Xaz62KiKcknQrUp4v6pWTvEXixhWI3AJdJ+iFwCHBFekRBZO89eKtUwQFb9KHB381qZmZmZma2Cq2YkW3WddTV1UVDQ0O5wzAzMzMzMysLSbMioti38ZX9WwPMzMzMzMzMrBN5IMDMzMzMzMysinggwMzMzMzMzKyKeCDAzMzMzMzMrIp4IMDMzMzMzMysipT76wPNOsS8lxdTO+6ucodhZmZmZmZdWONa+pXlXX5GgKTLJW2blhslbSKpVtL8Dm63VtJhufVBkvbuyDbbS9Ijbciz5BPUP1rShWn5GElH5NI3z+X7+BiZmZmZmZlZx+ryMwIi4rtlaroWOAy4Lq0PAuqAu8sUzyoiYpdObOvS3OpoYD7wStpWrmNkZmZmZmZWdbrMjABJ60u6S9KTkuZLGpnSH5BUV6RIjaTLJC2QVC+pZ8o/SNIMSXMl3SZpo8J60qyCxrRcI+lcSTNTme+n+s8GdpM0R9JJwJnAyLQ+MsV7ZSr3hKT9i/Spn6Tpqcx8Sbul9CWSfiNptqT7JPVN6VtLukfSLEkPSvpCSt8s9eXJ9G+X5nrSz16pntmS5hWLpUhs35b0eIrtj5JqUvpRkp6TNA3YNZf/DEknSBpBNiAyMZXtWbBvD00xzJc0Pld+iaSzUvwzJG3WWoxmZmZmZma2qi4zEAB8DXglIgZGxPbAPa3k7w9cFBHbAW8BB6X0a4GTImIHYB5weiv1HA0sjoghwBDge5K2AsYBD0bEoIgYD5wGTErrk4BTgPtTuT2AcyWtX1D3YcCUiBgEDATmpPT1gdkRsRMwLRfjBGBsRAwGTgAuTukXANMiYiCwE7CgoJ0PgG+m+vYAfiNJpTos6YvASGDXFFsTMEpSP+DnZAMAewKrTPePiJuBBmBU2hfv5+rdHBgPfIVsBsUQSQfk+jwj9WE68L0icY2R1CCpoem9xaXCNzMzMzMzq2pd6dGAecB56S7ynRHxYCv5F0bEnLQ8C6iV1AfYMCKmpfRrgJtaqWcvYId0pxugD9kgw0dtKLefpBPS+rrA54Cnc3lmAldK6g7cnot3OTApLf8ZuFVSL2AX4KbcNXyP9PMrwBEAEdEEFF4lC/iVpN1T3VsAmwH/KhH7V4HBwMzUVk/gNeC/gAci4nUASZOAbVrZD3lDCspPBHYHbifbn3emfLPIBhpWEhETyAZD6NGvf7SjXTMzMzMzs6rRZQYCIuI5SYOBvYFfS6qPiDNbKPJhbrmJ7GK2JctYMYNi3Vy6yO7CT8lnljSslfoEHBQRz5bKEBHT08X5PsCfJJ0bEdcWy5pieyvdoW+vUUBfYHBELE2PPazbQn4B10TEySslZnfvP8kFeMlZCMDSiGiuu4ku9H/XzMzMzMysM3WZRwPStPL3IuLPwHlkU+DbJSIWA282P4sPHE429R6gkewuOMCIXLEpwLHprj2StklT/N8BeufyFa5PAcY2T8GXtGORPm0JvBYRlwFX5Pq0Ti6Gw4CHIuJtYKGkg1NZSRqY8twHHJvSayRtUNBUn9TOUkl7AFsW2z859wEjJG2a6tw4xfoYMEzSp9P+OLhE+cJ90ewx4MvpHQw1wKGs2P9mZmZmZma2BnSlu6oDyJ6zXw4sJV34roYjgUslrQe8AByV0s8DbpR0OHB/Lv/lZN8QMDtd1L8OHADMBZZJehK4muwxg3GS5gC/Bn4BnA/MTeUagX0LYhkGnChpKbCENL0feBfYTtIssmn+I1P6KOASSacC3YEbgCeB44EJko4mu5t+LPBorp2JwB2SGsjeQ/BMSzsoIp5KbdRLWodsf/8gImZIOiPVvQiYDdQUqeJqsn38PjA0V+8iSScDU8lmB9wdEX9pKZZSBmzRh4a19Ds9zczMzMzMOpJWzLa2tYWkJRHRq9xxVLK6urpoaGgodxhmZmZmZmZlIWlWRBT7Br2u82iAmZmZmZmZmbXOAwFrIc8GMDMzMzMzs9XlRwOsS5L0DlDyGxmsLDYB3ih3EPYxH4/K42NSWXw8KouPR+XxMaksPh6VpxKOyZYR0bfYhq70skCzvGdLPQ9j5SGpwcekcvh4VB4fk8ri41FZfDwqj49JZfHxqDyVfkz8aICZmZmZmZlZFfFAgJmZmZmZmVkV8UCAdVUTyh2ArcLHpLL4eFQeH5PK4uNRWXw8Ko+PSWXx8ag8FX1M/LJAMzMzMzMzsyriGQFmZmZmZmZmVcQDAWZmZmZmZmZVxAMB1uVI+pqkZyX9Q9K4csdTbSR9VtJUSU9LWiDp+JR+hqSXJc1J//Yud6zVRFKjpHlp3zektI0l3Svp7+nnRuWOsxpI+nzuPJgj6W1JP/I50rkkXSnpNUnzc2klzwlJJ6fPlWcl/d/yRN11lTge50p6RtJcSbdJ2jCl10p6P3euXFq2wLuoEsej5O8onx8dr8QxmZQ7Ho2S5qR0nyMdrIW/d9eazxG/I8C6FEk1wHPAnsBLwEzg0Ih4qqyBVRFJ/YB+ETFbUm9gFnAA8C1gSUScV874qpWkRqAuIt7IpZ0D/Dsizk6DZhtFxEnlirEapd9ZLwP/BRyFz5FOI2l3YAlwbURsn9KKnhOStgWuB3YGNgf+BmwTEU1lCr/LKXE89gLuj4hlksYDpONRC9zZnM/WvBLH4wyK/I7y+dE5ih2Tgu2/ARZHxJk+RzpeC3/vjmYt+RzxjADranYG/hERL0TER8ANwP5ljqmqRMSiiJidlt8Bnga2KG9UVsL+wDVp+RqyDzDrXF8Fno+IF8sdSLWJiOnAvwuSS50T+wM3RMSHEbEQ+AfZ542tIcWOR0TUR8SytDoD+EynB1alSpwfpfj86AQtHRNJIrvhcn2nBlXFWvh7d635HPFAgHU1WwD/zK2/hC9CyyaNSO8IPJaSjktTPK/0NPROF0C9pFmSxqS0zSJiEWQfaMCmZYuueh3Cyn+4+Rwpr1LnhD9byu87wF9z61tJekLSNEm7lSuoKlTsd5TPj/LbDXg1Iv6eS/M50kkK/t5daz5HPBBgXY2KpPn5lzKQ1Au4BfhRRLwNXAJsDQwCFgG/KV90VWnXiNgJ+DrwgzTF0MpI0qeA/YCbUpLPkcrlz5YyknQKsAyYmJIWAZ+LiB2BnwDXSdqgXPFVkVK/o3x+lN+hrDyo7HOkkxT5e7dk1iJpZT1PPBBgXc1LwGdz658BXilTLFVLUneyX4oTI+JWgIh4NSKaImI5cBmeNtipIuKV9PM14Day/f9qesat+Vm318oXYVX6OjA7Il4FnyMVotQ54c+WMpF0JLAvMCrSi63S1Nr/l5ZnAc8D25QvyurQwu8onx9lJKkbcCAwqTnN50jnKPb3LmvR54gHAqyrmQn0l7RVutt2CDC5zDFVlfSc2hXA0xHx21x6v1y2bwLzC8tax5C0fnqRDZLWB/Yi2/+TgSNTtiOBv5Qnwqq10h0cnyMVodQ5MRk4RFIPSVsB/YHHyxBfVZH0NeAkYL+IeC+X3je9aBNJ/0F2PF4oT5TVo4XfUT4/yms48ExEvNSc4HOk45X6e5e16HOkWzkbN1vT0puFjwOmADXAlRGxoMxhVZtdgcOBec1fYwP8FDhU0iCyaVCNwPfLEVyV2gy4LfvMohtwXUTcI2kmcKOko4H/BQ4uY4xVRdJ6ZN9ukj8PzvE50nkkXQ8MAzaR9BJwOnA2Rc6JiFgg6UbgKbIp6j/wG9HXrBLH42SgB3Bv+v01IyKOAXYHzpS0DGgCjomItr7YztqgxPEYVux3lM+PzlHsmETEFaz6rhnwOdIZSv29u9Z8jvjrA83MzMzMzMyqiB8NMDMzMzMzM6siHggwMzMzMzMzqyIeCDAzMzMzMzOrIh4IMDMzMzMzM6siHggwMzMzMzMzqyIeCDAzMzMzMzOrIh4IMDMzMzMzM6si/x/GyuxknwecOgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Converting text descriptions into vectors using TF-IDF using Trigram\n",
    "tf = TfidfVectorizer(ngram_range=(3, 3), stop_words='english', lowercase = True)\n",
    "tfidf_matrix = tf.fit_transform(books_filtered['bookTitle'])\n",
    "total_words = tfidf_matrix.sum(axis=0) \n",
    "#Finding the word frequency\n",
    "freq = [(word, total_words[0, idx]) for word, idx in tf.vocabulary_.items()]\n",
    "freq =sorted(freq, key = lambda x: x[1], reverse=True)\n",
    "#converting into dataframe \n",
    "trigram = pd.DataFrame(freq)\n",
    "trigram.rename(columns = {0:'trigram', 1: 'count'}, inplace = True) \n",
    "#Taking first 20 records\n",
    "trigram = trigram.head(25)\n",
    "#Plotting the trigramn distribution\n",
    "trigram.plot(x ='trigram', y='count', kind = 'barh', title = \"Trigram disribution for the top 25 words in the book title\", figsize = (15,7), )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "ede86d45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookTitle</th>\n",
       "      <th>bookAuthor</th>\n",
       "      <th>yearOfPublication</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1013</th>\n",
       "      <td>0373123485</td>\n",
       "      <td>On The Tycoon's Terms   Do Not Disturb! (Harlequin Presents, 2348)</td>\n",
       "      <td>Sandra Field</td>\n",
       "      <td>2003</td>\n",
       "      <td>Harlequin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2565</th>\n",
       "      <td>0373123515</td>\n",
       "      <td>The Spaniard's Woman   Foreign Affairs (Harlequin Presents, 2351)</td>\n",
       "      <td>Diana Hamilton</td>\n",
       "      <td>2003</td>\n",
       "      <td>Harlequin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2566</th>\n",
       "      <td>0373123531</td>\n",
       "      <td>The Greek Tycoon's Ultimatum   The Greek Tycoons (Harlequin Presents, 2353)</td>\n",
       "      <td>Lucy Monroe</td>\n",
       "      <td>2003</td>\n",
       "      <td>Harlequin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5140</th>\n",
       "      <td>0373115458</td>\n",
       "      <td>Spirit Of Love (Harlequin Presents No. 11545)</td>\n",
       "      <td>Emma Goldrick</td>\n",
       "      <td>1993</td>\n",
       "      <td>Harlequin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5556</th>\n",
       "      <td>0373111355</td>\n",
       "      <td>Lifetime And Beyond (Harlequin Presents, 1135)</td>\n",
       "      <td>Alison Fraser</td>\n",
       "      <td>1988</td>\n",
       "      <td>Harlequin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269986</th>\n",
       "      <td>0373109067</td>\n",
       "      <td>Diplomatic Affair (Harlequin Presents, No 906)</td>\n",
       "      <td>Claire Harrison</td>\n",
       "      <td>1986</td>\n",
       "      <td>Harlequin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269987</th>\n",
       "      <td>0373109423</td>\n",
       "      <td>Shadow Princess (Harlequin Presents, No 942)</td>\n",
       "      <td>Sophie Weston</td>\n",
       "      <td>1986</td>\n",
       "      <td>Harlequin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270036</th>\n",
       "      <td>0373703198</td>\n",
       "      <td>Make No Mistake (Harlequin Presents # 319)</td>\n",
       "      <td>Jeanne Triner</td>\n",
       "      <td>1988</td>\n",
       "      <td>Harlequin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270908</th>\n",
       "      <td>0373123892</td>\n",
       "      <td>The Spaniard's Revenge (Harlequin Presents, 2389)</td>\n",
       "      <td>Susan Stephens</td>\n",
       "      <td>2004</td>\n",
       "      <td>Harlequin</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270909</th>\n",
       "      <td>0373123914</td>\n",
       "      <td>The Outback Marriage Ransom (Harlequin Presents)</td>\n",
       "      <td>Emma Darcy</td>\n",
       "      <td>2004</td>\n",
       "      <td>Harlequin</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1226 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ISBN  \\\n",
       "1013    0373123485   \n",
       "2565    0373123515   \n",
       "2566    0373123531   \n",
       "5140    0373115458   \n",
       "5556    0373111355   \n",
       "...            ...   \n",
       "269986  0373109067   \n",
       "269987  0373109423   \n",
       "270036  0373703198   \n",
       "270908  0373123892   \n",
       "270909  0373123914   \n",
       "\n",
       "                                                                          bookTitle  \\\n",
       "1013    On The Tycoon's Terms   Do Not Disturb! (Harlequin Presents, 2348)            \n",
       "2565    The Spaniard's Woman   Foreign Affairs (Harlequin Presents, 2351)             \n",
       "2566    The Greek Tycoon's Ultimatum   The Greek Tycoons (Harlequin Presents, 2353)   \n",
       "5140    Spirit Of Love (Harlequin Presents No. 11545)                                 \n",
       "5556    Lifetime And Beyond (Harlequin Presents, 1135)                                \n",
       "...                                                ...                                \n",
       "269986  Diplomatic Affair (Harlequin Presents, No 906)                                \n",
       "269987  Shadow Princess (Harlequin Presents, No 942)                                  \n",
       "270036  Make No Mistake (Harlequin Presents # 319)                                    \n",
       "270908  The Spaniard's Revenge (Harlequin Presents, 2389)                             \n",
       "270909  The Outback Marriage Ransom (Harlequin Presents)                              \n",
       "\n",
       "             bookAuthor  yearOfPublication  publisher  \n",
       "1013    Sandra Field     2003               Harlequin  \n",
       "2565    Diana Hamilton   2003               Harlequin  \n",
       "2566    Lucy Monroe      2003               Harlequin  \n",
       "5140    Emma Goldrick    1993               Harlequin  \n",
       "5556    Alison Fraser    1988               Harlequin  \n",
       "...               ...     ...                     ...  \n",
       "269986  Claire Harrison  1986               Harlequin  \n",
       "269987  Sophie Weston    1986               Harlequin  \n",
       "270036  Jeanne Triner    1988               Harlequin  \n",
       "270908  Susan Stephens   2004               Harlequin  \n",
       "270909  Emma Darcy       2004               Harlequin  \n",
       "\n",
       "[1226 rows x 5 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books_filtered[books_filtered.bookTitle.str.contains(\"Harlequin Presents\")]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "237a2279",
   "metadata": {},
   "source": [
    "### Clean book title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "55c08567",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookTitle</th>\n",
       "      <th>bookAuthor</th>\n",
       "      <th>yearOfPublication</th>\n",
       "      <th>publisher</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Classical Mythology</td>\n",
       "      <td>Mark P. O. Morford</td>\n",
       "      <td>2002</td>\n",
       "      <td>Oxford University Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002005018</td>\n",
       "      <td>Clara Callan</td>\n",
       "      <td>Richard Bruce Wright</td>\n",
       "      <td>2001</td>\n",
       "      <td>HarperFlamingo Canada</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0060973129</td>\n",
       "      <td>Decision in Normandy</td>\n",
       "      <td>Carlo D'Este</td>\n",
       "      <td>1991</td>\n",
       "      <td>HarperPerennial</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0374157065</td>\n",
       "      <td>Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It</td>\n",
       "      <td>Gina Bari Kolata</td>\n",
       "      <td>1999</td>\n",
       "      <td>Farrar Straus Giroux</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0393045218</td>\n",
       "      <td>The Mummies of Urumchi</td>\n",
       "      <td>E. J. W. Barber</td>\n",
       "      <td>1999</td>\n",
       "      <td>W. W. Norton &amp;amp; Company</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271355</th>\n",
       "      <td>0440400988</td>\n",
       "      <td>There's a Bat in Bunk Five</td>\n",
       "      <td>Paula Danziger</td>\n",
       "      <td>1988</td>\n",
       "      <td>Random House Childrens Pub (Mm)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271356</th>\n",
       "      <td>0525447644</td>\n",
       "      <td>From One to One Hundred</td>\n",
       "      <td>Teri Sloat</td>\n",
       "      <td>1991</td>\n",
       "      <td>Dutton Books</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271357</th>\n",
       "      <td>006008667X</td>\n",
       "      <td>Lily Dale : The True Story of the Town that Talks to the Dead</td>\n",
       "      <td>Christine Wicker</td>\n",
       "      <td>2004</td>\n",
       "      <td>HarperSanFrancisco</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271358</th>\n",
       "      <td>0192126040</td>\n",
       "      <td>Republic (World's Classics)</td>\n",
       "      <td>Plato</td>\n",
       "      <td>1996</td>\n",
       "      <td>Oxford University Press</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271359</th>\n",
       "      <td>0767409752</td>\n",
       "      <td>A Guided Tour of Rene Descartes' Meditations on First Philosophy with Complete Translations of the Meditations by Ronald Rubin</td>\n",
       "      <td>Christopher  Biffle</td>\n",
       "      <td>2000</td>\n",
       "      <td>McGraw-Hill Humanities/Social Sciences/Languages</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>266726 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ISBN  \\\n",
       "0       0195153448   \n",
       "1       0002005018   \n",
       "2       0060973129   \n",
       "3       0374157065   \n",
       "4       0393045218   \n",
       "...            ...   \n",
       "271355  0440400988   \n",
       "271356  0525447644   \n",
       "271357  006008667X   \n",
       "271358  0192126040   \n",
       "271359  0767409752   \n",
       "\n",
       "                                                                                                                             bookTitle  \\\n",
       "0       Classical Mythology                                                                                                              \n",
       "1       Clara Callan                                                                                                                     \n",
       "2       Decision in Normandy                                                                                                             \n",
       "3       Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It                               \n",
       "4       The Mummies of Urumchi                                                                                                           \n",
       "...                        ...                                                                                                           \n",
       "271355  There's a Bat in Bunk Five                                                                                                       \n",
       "271356  From One to One Hundred                                                                                                          \n",
       "271357  Lily Dale : The True Story of the Town that Talks to the Dead                                                                    \n",
       "271358  Republic (World's Classics)                                                                                                      \n",
       "271359  A Guided Tour of Rene Descartes' Meditations on First Philosophy with Complete Translations of the Meditations by Ronald Rubin   \n",
       "\n",
       "                  bookAuthor  yearOfPublication  \\\n",
       "0       Mark P. O. Morford    2002                \n",
       "1       Richard Bruce Wright  2001                \n",
       "2       Carlo D'Este          1991                \n",
       "3       Gina Bari Kolata      1999                \n",
       "4       E. J. W. Barber       1999                \n",
       "...                 ...        ...                \n",
       "271355  Paula Danziger        1988                \n",
       "271356  Teri Sloat            1991                \n",
       "271357  Christine Wicker      2004                \n",
       "271358  Plato                 1996                \n",
       "271359  Christopher  Biffle   2000                \n",
       "\n",
       "                                               publisher  \n",
       "0       Oxford University Press                           \n",
       "1       HarperFlamingo Canada                             \n",
       "2       HarperPerennial                                   \n",
       "3       Farrar Straus Giroux                              \n",
       "4       W. W. Norton &amp; Company                        \n",
       "...                            ...                        \n",
       "271355  Random House Childrens Pub (Mm)                   \n",
       "271356  Dutton Books                                      \n",
       "271357  HarperSanFrancisco                                \n",
       "271358  Oxford University Press                           \n",
       "271359  McGraw-Hill Humanities/Social Sciences/Languages  \n",
       "\n",
       "[266726 rows x 5 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "books_df = books_filtered\n",
    "books_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "2f57c04a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ISBN</th>\n",
       "      <th>bookTitle</th>\n",
       "      <th>bookAuthor</th>\n",
       "      <th>yearOfPublication</th>\n",
       "      <th>publisher</th>\n",
       "      <th>bookTitleNew</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0195153448</td>\n",
       "      <td>Classical Mythology</td>\n",
       "      <td>Mark P. O. Morford</td>\n",
       "      <td>2002</td>\n",
       "      <td>Oxford University Press</td>\n",
       "      <td>classical mythology</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0002005018</td>\n",
       "      <td>Clara Callan</td>\n",
       "      <td>Richard Bruce Wright</td>\n",
       "      <td>2001</td>\n",
       "      <td>HarperFlamingo Canada</td>\n",
       "      <td>clara callan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0060973129</td>\n",
       "      <td>Decision in Normandy</td>\n",
       "      <td>Carlo D'Este</td>\n",
       "      <td>1991</td>\n",
       "      <td>HarperPerennial</td>\n",
       "      <td>decision normandy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0374157065</td>\n",
       "      <td>Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It</td>\n",
       "      <td>Gina Bari Kolata</td>\n",
       "      <td>1999</td>\n",
       "      <td>Farrar Straus Giroux</td>\n",
       "      <td>flu story great influenza pandemic 1918 search virus caused</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0393045218</td>\n",
       "      <td>The Mummies of Urumchi</td>\n",
       "      <td>E. J. W. Barber</td>\n",
       "      <td>1999</td>\n",
       "      <td>W. W. Norton &amp;amp; Company</td>\n",
       "      <td>mummies urumchi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271355</th>\n",
       "      <td>0440400988</td>\n",
       "      <td>There's a Bat in Bunk Five</td>\n",
       "      <td>Paula Danziger</td>\n",
       "      <td>1988</td>\n",
       "      <td>Random House Childrens Pub (Mm)</td>\n",
       "      <td>there s bat bunk five</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271356</th>\n",
       "      <td>0525447644</td>\n",
       "      <td>From One to One Hundred</td>\n",
       "      <td>Teri Sloat</td>\n",
       "      <td>1991</td>\n",
       "      <td>Dutton Books</td>\n",
       "      <td>one one hundred</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271357</th>\n",
       "      <td>006008667X</td>\n",
       "      <td>Lily Dale : The True Story of the Town that Talks to the Dead</td>\n",
       "      <td>Christine Wicker</td>\n",
       "      <td>2004</td>\n",
       "      <td>HarperSanFrancisco</td>\n",
       "      <td>lily dale true story town talks dead</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271358</th>\n",
       "      <td>0192126040</td>\n",
       "      <td>Republic (World's Classics)</td>\n",
       "      <td>Plato</td>\n",
       "      <td>1996</td>\n",
       "      <td>Oxford University Press</td>\n",
       "      <td>republic world s classics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271359</th>\n",
       "      <td>0767409752</td>\n",
       "      <td>A Guided Tour of Rene Descartes' Meditations on First Philosophy with Complete Translations of the Meditations by Ronald Rubin</td>\n",
       "      <td>Christopher  Biffle</td>\n",
       "      <td>2000</td>\n",
       "      <td>McGraw-Hill Humanities/Social Sciences/Languages</td>\n",
       "      <td>guided tour rene descartes meditations first philosophy complete translations meditations ronald rubin</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>266726 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              ISBN  \\\n",
       "0       0195153448   \n",
       "1       0002005018   \n",
       "2       0060973129   \n",
       "3       0374157065   \n",
       "4       0393045218   \n",
       "...            ...   \n",
       "271355  0440400988   \n",
       "271356  0525447644   \n",
       "271357  006008667X   \n",
       "271358  0192126040   \n",
       "271359  0767409752   \n",
       "\n",
       "                                                                                                                             bookTitle  \\\n",
       "0       Classical Mythology                                                                                                              \n",
       "1       Clara Callan                                                                                                                     \n",
       "2       Decision in Normandy                                                                                                             \n",
       "3       Flu: The Story of the Great Influenza Pandemic of 1918 and the Search for the Virus That Caused It                               \n",
       "4       The Mummies of Urumchi                                                                                                           \n",
       "...                        ...                                                                                                           \n",
       "271355  There's a Bat in Bunk Five                                                                                                       \n",
       "271356  From One to One Hundred                                                                                                          \n",
       "271357  Lily Dale : The True Story of the Town that Talks to the Dead                                                                    \n",
       "271358  Republic (World's Classics)                                                                                                      \n",
       "271359  A Guided Tour of Rene Descartes' Meditations on First Philosophy with Complete Translations of the Meditations by Ronald Rubin   \n",
       "\n",
       "                  bookAuthor  yearOfPublication  \\\n",
       "0       Mark P. O. Morford    2002                \n",
       "1       Richard Bruce Wright  2001                \n",
       "2       Carlo D'Este          1991                \n",
       "3       Gina Bari Kolata      1999                \n",
       "4       E. J. W. Barber       1999                \n",
       "...                 ...        ...                \n",
       "271355  Paula Danziger        1988                \n",
       "271356  Teri Sloat            1991                \n",
       "271357  Christine Wicker      2004                \n",
       "271358  Plato                 1996                \n",
       "271359  Christopher  Biffle   2000                \n",
       "\n",
       "                                               publisher  \\\n",
       "0       Oxford University Press                            \n",
       "1       HarperFlamingo Canada                              \n",
       "2       HarperPerennial                                    \n",
       "3       Farrar Straus Giroux                               \n",
       "4       W. W. Norton &amp; Company                         \n",
       "...                            ...                         \n",
       "271355  Random House Childrens Pub (Mm)                    \n",
       "271356  Dutton Books                                       \n",
       "271357  HarperSanFrancisco                                 \n",
       "271358  Oxford University Press                            \n",
       "271359  McGraw-Hill Humanities/Social Sciences/Languages   \n",
       "\n",
       "                                                                                                  bookTitleNew  \n",
       "0       classical mythology                                                                                     \n",
       "1       clara callan                                                                                            \n",
       "2       decision normandy                                                                                       \n",
       "3       flu story great influenza pandemic 1918 search virus caused                                             \n",
       "4       mummies urumchi                                                                                         \n",
       "...                 ...                                                                                         \n",
       "271355  there s bat bunk five                                                                                   \n",
       "271356  one one hundred                                                                                         \n",
       "271357  lily dale true story town talks dead                                                                    \n",
       "271358  republic world s classics                                                                               \n",
       "271359  guided tour rene descartes meditations first philosophy complete translations meditations ronald rubin  \n",
       "\n",
       "[266726 rows x 6 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Function for removing NonAscii characters\n",
    "def _removeNonAscii(s):\n",
    "    return \"\".join(i for i in s if  ord(i)<128)\n",
    "# Function for converting into lower case\n",
    "def make_lower_case(text):\n",
    "    return text.lower()\n",
    "# Function for removing stop words\n",
    "def remove_stop_words(text):\n",
    "    text = text.split()\n",
    "    stops = set(stopwords.words(\"english\"))\n",
    "    text = [w for w in text if not w in stops]\n",
    "    text = \" \".join(text)\n",
    "    return text\n",
    "# Function for removing punctuation\n",
    "def remove_punctuation(text):\n",
    "    tokenizer = RegexpTokenizer(r'\\w+')\n",
    "    text = tokenizer.tokenize(text)\n",
    "    text = \" \".join(text)\n",
    "    return text\n",
    "#Function for removing the html tags\n",
    "def remove_html(text):\n",
    "    html_pattern = re.compile('<.*?>')\n",
    "    return html_pattern.sub(r'', text)\n",
    "\n",
    "\n",
    "\n",
    "# Applying all the functions in description and storing as a cleaned_desc\n",
    "books_df[\"bookTitleNew\"] = books_df.bookTitle.apply(_removeNonAscii)\n",
    "books_df[\"bookTitleNew\"] = books_df.bookTitleNew.apply(func = make_lower_case)\n",
    "books_df[\"bookTitleNew\"] = books_df.bookTitleNew.apply(func = remove_stop_words)\n",
    "books_df[\"bookTitleNew\"] = books_df.bookTitleNew.apply(func=remove_punctuation)\n",
    "books_df[\"bookTitleNew\"] = books_df.bookTitleNew.apply(func=remove_html)\n",
    "books_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea3fa1c0",
   "metadata": {},
   "source": [
    "### Function for recommending books based on Book title"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "3b804dd0",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function for recommending books based on Book title. It takes book title as an input.\n",
    "def recommend(data, title, k):\n",
    "    \n",
    "    # Convert the index into series\n",
    "    indices = pd.Series(data.index, index = data['bookTitle'])\n",
    "    \n",
    "    #Converting the book title into vectors and used bigram\n",
    "    tf = TfidfVectorizer(analyzer='word', ngram_range=(2, 2), min_df = 1, stop_words='english')\n",
    "    tfidf_matrix = tf.fit_transform(data['bookTitleNew'])\n",
    "    \n",
    "    # Calculating the similarity measures based on Cosine Similarity\n",
    "    sg = cosine_similarity(tfidf_matrix, tfidf_matrix)\n",
    "    \n",
    "    # Get the index corresponding to original_title       \n",
    "    idx = indices[title]\n",
    "    # Get the pairwsie similarity scores \n",
    "    sig = list(enumerate(sg[idx]))\n",
    "    \n",
    "    # Sort based on the second elem of the tuple: book title\n",
    "    sig = sorted(sig, key = lambda x : x[1].all(), reverse=True)\n",
    "    \n",
    "    # Scores of the k most similar books \n",
    "    sig = sig[1:k+1]\n",
    "    # Book indicies\n",
    "    book_indices = [i[0] for i in sig]\n",
    "   \n",
    "    # Top n book recommendation\n",
    "    rec = data[['bookTitle']].iloc[book_indices]\n",
    "    print(rec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "495056d4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                       bookTitle\n",
      "5330    The Night Listener : A Novel            \n",
      "164078  The Night Listener: A Spoken Word Serial\n",
      "234632  The Night Listener                      \n",
      "0       Classical Mythology                     \n",
      "1       Clara Callan                            \n"
     ]
    }
   ],
   "source": [
    "recommend(books_df, \"The Vampire Lestat (Vampire Chronicles, Book II)\", 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "4a0a344a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                                                                                       bookTitle\n",
      "3590    Daughters of Britannia : The Lives and Times of Diplomatic Wives                                        \n",
      "16476   Martina: The Lives and Times of Martina Navratilova                                                     \n",
      "42955   Bob Dylan                                                                                               \n",
      "53945   The Wizard of 4th Street (Questar)                                                                      \n",
      "60294   Down the Highway: The Life of Bob Dylan                                                                 \n",
      "66595   The Wizard of Sunset Strip (Wizard of 4th Street)                                                       \n",
      "87631   No Direction Home: The Life and Music of Bob Dylan                                                      \n",
      "93728   No Direction Home: The Life and Music of Bob Dylan                                                      \n",
      "96323   Positively 4th Street: The Lives and Times of Joan Baez, Bob Dylan, Mimi Baez Farina, and Richard Farina\n",
      "113575  Obsession: The Lives and Times of Calvin Klein                                                          \n"
     ]
    }
   ],
   "source": [
    "recommend(books_df, \"The Hobbit : The Enchanting Prelude to The Lord of the Rings\", 10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90289b7a",
   "metadata": {},
   "source": [
    "# Future Work:\n",
    "- cold start: cluster age and location and see what book the users like -> recommend to users who have the same age or location\n",
    "- matrix factorization"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ead5988",
   "metadata": {},
   "source": [
    "# Links:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ecb7b3a0",
   "metadata": {},
   "source": [
    "https://towardsdatascience.com/prototyping-a-recommender-system-step-by-step-part-1-knn-item-based-collaborative-filtering-637969614ea\n",
    "\n",
    "https://medium.com/web-mining-is688-spring-2021/collaborative-book-recommendation-system-24a5aba2d2ed\n",
    "\n",
    "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0220129\n",
    "\n",
    "https://www.sciencedirect.com/science/article/abs/pii/S0020025522002870"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11ae3c36",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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