kaggle-eda.ipynb

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    "tags": []
   },
   "source": [
    "# EDA"
   ]
  },
  {
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   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from tqdm import tqdm\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime\n",
    "import os\n",
    "from collections import defaultdict\n",
    "from pprint import pprint"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "files:"
   ]
  },
  {
   "cell_type": "code",
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   "id": "dfd9c185",
   "metadata": {
    "execution": {
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/kaggle/input/bigdata2021-rl-recsys/item_info.csv\n",
      "/kaggle/input/bigdata2021-rl-recsys/trainset.csv\n",
      "/kaggle/input/bigdata2021-rl-recsys/track2_testset.csv\n",
      "/kaggle/input/bigdata2021-rl-recsys/track1_testset.csv\n"
     ]
    }
   ],
   "source": [
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "eb518608",
   "metadata": {
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   "source": [
    "def change_into_datetime(time_int):\n",
    "    \"\"\"\n",
    "    input: 1582992009 (int)\n",
    "    output: 2020-02-29 16:00:09 (str)\n",
    "    \"\"\"\n",
    "    return datetime.utcfromtimestamp(time_int).strftime('%Y-%m-%d %H:%M:%S')"
   ]
  },
  {
   "cell_type": "markdown",
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    "tags": []
   },
   "source": [
    "## Let's first see `trainset.csv`"
   ]
  },
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    "tags": []
   },
   "source": [
    "read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "92de1b86",
   "metadata": {
    "execution": {
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   "outputs": [],
   "source": [
    "# read csv\n",
    "df_trainset = pd.read_csv('/kaggle/input/bigdata2021-rl-recsys/trainset.csv', sep=' ')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
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   "outputs": [
    {
     "name": "stderr",
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     "text": [
      "100%|██████████| 260087/260087 [01:10<00:00, 3701.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# of row, col: 260087 7\n"
     ]
    },
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    },
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>user_click_history</th>\n",
       "      <th>user_protrait</th>\n",
       "      <th>exposed_items</th>\n",
       "      <th>labels</th>\n",
       "      <th>time</th>\n",
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      "text/plain": [
       "   user_id                                 user_click_history  \\\n",
       "0        1  30:2020-02-02 00:25:30,34:2020-02-08 16:22:17,...   \n",
       "1        2  20:2020-02-02 11:59:22,13:2020-02-02 11:59:25,...   \n",
       "2        3  39:2020-02-03 23:36:15,6:2020-02-03 23:36:21,1...   \n",
       "3        4  6:2020-02-02 15:33:28,9:2020-02-02 15:33:32,15...   \n",
       "4        5  37:2020-02-03 15:25:45,36:2020-02-03 15:25:54,...   \n",
       "\n",
       "                                       user_protrait  \\\n",
       "0  64054,21804,80911,36504,8867,7615,54240,37294,...   \n",
       "1  64054,26565,93755,88510,6344,7615,54240,21927,...   \n",
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       "4  64054,66036,6599,88510,76066,20543,83978,37294...   \n",
       "\n",
       "                   exposed_items             labels        time  \\\n",
       "0  1,20,28,99,86,119,213,237,164  1,1,1,1,1,1,1,1,1  1582992009   \n",
       "1  1,4,26,112,86,117,191,234,172  1,1,1,1,1,1,1,1,0  1582992010   \n",
       "2  22,4,28,48,105,42,193,236,159  1,1,1,0,1,0,0,0,0  1582992014   \n",
       "3  5,16,1,74,133,122,235,218,172  1,1,1,1,1,1,1,1,0  1582992014   \n",
       "4   6,1,16,85,73,112,239,172,205  1,1,1,1,1,1,1,1,1  1582992017   \n",
       "\n",
       "              datetime  \n",
       "0  2020-02-29 16:00:09  \n",
       "1  2020-02-29 16:00:10  \n",
       "2  2020-02-29 16:00:14  \n",
       "3  2020-02-29 16:00:14  \n",
       "4  2020-02-29 16:00:17  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    # change time into human readable format\n",
    "    t = int(df_trainset.at[i, 'time'])\n",
    "    df_trainset.at[i, 'datetime'] = change_into_datetime(t)\n",
    "\n",
    "    # change time in user_click_history into human readable format\n",
    "    # notice that some user_click_history == '0:0', which means there is no click history for this user\n",
    "    t = df_trainset.at[i, 'user_click_history']\n",
    "    if t == '0:0':\n",
    "        df_trainset.at[i, 'user_click_history'] = ''\n",
    "    else:\n",
    "        new_user_click_history = [sample.split(':')[0] + ':' + change_into_datetime(int(sample.split(':')[1])) for sample in t.split(',')]\n",
    "        df_trainset.at[i, 'user_click_history'] = ','.join(new_user_click_history)\n",
    "\n",
    "print('# of row, col:', df_trainset.shape[0], df_trainset.shape[1])\n",
    "df_trainset.head()"
   ]
  },
  {
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    },
    "tags": []
   },
   "source": [
    "### user_click_history analysis"
   ]
  },
  {
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "sample one click history:"
   ]
  },
  {
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   "outputs": [
    {
     "data": {
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       "'15:2020-02-01 19:28:12,10:2020-02-01 19:28:22,39:2020-02-01 19:28:26,127:2020-02-01 19:29:25,24:2020-02-01 19:29:58,16:2020-02-01 19:30:05,16:2020-02-02 16:04:26,23:2020-02-02 16:04:29,118:2020-02-02 16:04:41,118:2020-02-02 16:04:42,6:2020-02-09 10:48:56,31:2020-02-09 10:49:06,2:2020-02-09 10:52:55,6:2020-02-09 11:00:57,6:2020-02-09 11:04:41,6:2020-02-10 10:21:22,6:2020-02-10 10:43:49,126:2020-02-10 10:43:56,112:2020-02-10 10:44:02,72:2020-02-10 10:44:09,126:2020-02-10 10:46:05,211:2020-02-10 10:46:10,211:2020-02-10 10:48:00,235:2020-02-10 10:48:03,235:2020-02-10 10:49:33,211:2020-02-10 10:51:16,29:2020-02-10 10:51:26,28:2020-02-10 10:51:30,28:2020-02-10 10:51:56,28:2020-02-10 10:53:14,35:2020-02-10 10:53:18,15:2020-02-10 15:06:30,15:2020-02-11 11:46:21,131:2020-02-11 11:46:25,126:2020-02-11 11:46:28,28:2020-02-15 21:10:29,14:2020-02-15 21:23:11,13:2020-02-15 21:23:16,6:2020-02-16 17:00:52,6:2020-02-16 17:15:21,6:2020-02-17 08:51:00,100:2020-02-17 08:51:09,86:2020-02-17 08:51:14,91:2020-02-17 08:51:16,91:2020-02-17 08:52:57,86:2020-02-17 11:36:45,234:2020-02-17 11:36:49,211:2020-02-17 11:36:52,32:2020-02-23 04:35:30,31:2020-02-23 04:35:44,6:2020-02-23 04:35:56,5:2020-02-23 04:35:59,86:2020-02-23 04:36:02,109:2020-02-23 04:36:06,103:2020-02-23 04:36:09,86:2020-02-23 04:41:55,234:2020-02-23 04:41:58,25:2020-02-23 04:42:09,30:2020-02-23 04:42:30'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_trainset.at[9999, 'user_click_history']#.split(',')"
   ]
  },
  {
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    {
     "data": {
      "text/plain": [
       "''"
      ]
     },
     "execution_count": 7,
     "metadata": {},
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    }
   ],
   "source": [
    "df_trainset.at[152453, 'user_click_history']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bbdd086",
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     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "calc len of user_click_history"
   ]
  },
  {
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   "execution_count": 8,
   "id": "b57af316",
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:06<00:00, 41667.51it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 28184 users have 0 click history\n",
      "There are 3836 users have 1 click history\n",
      "There are 3556 users have 2 click history\n",
      "There are 3102 users have 3 click history\n",
      "There are 2957 users have 4 click history\n",
      "There are 2880 users have 5 click history\n",
      "There are 2868 users have 6 click history\n",
      "There are 3240 users have 7 click history\n",
      "There are 3589 users have 8 click history\n",
      "There are 3305 users have 9 click history\n",
      "There are 3130 users have 10 click history\n",
      "There are 2912 users have 11 click history\n",
      "There are 3008 users have 12 click history\n",
      "There are 2840 users have 13 click history\n",
      "There are 2853 users have 14 click history\n",
      "There are 3155 users have 15 click history\n",
      "There are 3269 users have 16 click history\n",
      "There are 3201 users have 17 click history\n",
      "There are 2983 users have 18 click history\n",
      "There are 2679 users have 19 click history\n",
      "There are 2611 users have 20 click history\n",
      "There are 2650 users have 21 click history\n",
      "There are 2714 users have 22 click history\n",
      "There are 2635 users have 23 click history\n",
      "There are 2560 users have 24 click history\n",
      "There are 2683 users have 25 click history\n",
      "There are 2535 users have 26 click history\n",
      "There are 2699 users have 27 click history\n",
      "There are 2584 users have 28 click history\n",
      "There are 2720 users have 29 click history\n",
      "There are 2578 users have 30 click history\n",
      "There are 2644 users have 31 click history\n",
      "There are 2609 users have 32 click history\n",
      "There are 2678 users have 33 click history\n",
      "There are 2687 users have 34 click history\n",
      "There are 2589 users have 35 click history\n",
      "There are 2636 users have 36 click history\n",
      "There are 2525 users have 37 click history\n",
      "There are 2615 users have 38 click history\n",
      "There are 2588 users have 39 click history\n",
      "There are 2637 users have 40 click history\n",
      "There are 2523 users have 41 click history\n",
      "There are 2508 users have 42 click history\n",
      "There are 2582 users have 43 click history\n",
      "There are 2426 users have 44 click history\n",
      "There are 2636 users have 45 click history\n",
      "There are 2602 users have 46 click history\n",
      "There are 2603 users have 47 click history\n",
      "There are 2556 users have 48 click history\n",
      "There are 2654 users have 49 click history\n",
      "There are 2645 users have 50 click history\n",
      "There are 2556 users have 51 click history\n",
      "There are 2723 users have 52 click history\n",
      "There are 2529 users have 53 click history\n",
      "There are 2578 users have 54 click history\n",
      "There are 2754 users have 55 click history\n",
      "There are 2537 users have 56 click history\n",
      "There are 2685 users have 57 click history\n",
      "There are 2585 users have 58 click history\n",
      "There are 2782 users have 59 click history\n",
      "There are 2609 users have 60 click history\n",
      "There are 2662 users have 61 click history\n",
      "There are 2583 users have 62 click history\n",
      "There are 2598 users have 63 click history\n",
      "There are 2777 users have 64 click history\n",
      "There are 2639 users have 65 click history\n",
      "There are 2517 users have 66 click history\n",
      "There are 2387 users have 67 click history\n",
      "There are 2360 users have 68 click history\n",
      "There are 2110 users have 69 click history\n",
      "There are 1927 users have 70 click history\n",
      "There are 1736 users have 71 click history\n",
      "There are 1595 users have 72 click history\n",
      "There are 1342 users have 73 click history\n",
      "There are 1258 users have 74 click history\n",
      "There are 1110 users have 75 click history\n",
      "There are 952 users have 76 click history\n",
      "There are 965 users have 77 click history\n",
      "There are 876 users have 78 click history\n",
      "There are 836 users have 79 click history\n",
      "There are 770 users have 80 click history\n",
      "There are 805 users have 81 click history\n",
      "There are 771 users have 82 click history\n",
      "There are 848 users have 83 click history\n",
      "There are 766 users have 84 click history\n",
      "There are 677 users have 85 click history\n",
      "There are 713 users have 86 click history\n",
      "There are 699 users have 87 click history\n",
      "There are 661 users have 88 click history\n",
      "There are 687 users have 89 click history\n",
      "There are 662 users have 90 click history\n",
      "There are 713 users have 91 click history\n",
      "There are 659 users have 92 click history\n",
      "There are 690 users have 93 click history\n",
      "There are 623 users have 94 click history\n",
      "There are 646 users have 95 click history\n",
      "There are 667 users have 96 click history\n",
      "There are 664 users have 97 click history\n",
      "There are 620 users have 98 click history\n",
      "There are 658 users have 99 click history\n"
     ]
    }
   ],
   "source": [
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_click_history = df_trainset.at[i, 'user_click_history']\n",
    "    if user_click_history == '':\n",
    "        len_user_click_history = 0\n",
    "    else:\n",
    "        len_user_click_history = int(len(user_click_history.split(',')))\n",
    "    df_trainset.at[i, 'len_user_click_history'] = len_user_click_history\n",
    "\n",
    "arr = np.array(df_trainset['len_user_click_history'])\n",
    "plt.hist(arr, color='blue', edgecolor='black', bins=100)\n",
    "plt.title('Histogram of len_user_click_history')\n",
    "plt.xlabel('# of user_click_history')\n",
    "plt.ylabel('Count')\n",
    "plt.show()\n",
    "\n",
    "arr = np.array(df_trainset['len_user_click_history'])\n",
    "for i in range(100):\n",
    "    print('There are', len(arr[arr == i]), 'users have', i, 'click history')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f31e0567",
   "metadata": {
    "papermill": {
     "duration": 0.277141,
     "end_time": "2021-07-14T09:29:06.699533",
     "exception": false,
     "start_time": "2021-07-14T09:29:06.422392",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "what items are users clicking?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "fd68b5a1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:29:07.261293Z",
     "iopub.status.busy": "2021-07-14T09:29:07.260585Z",
     "iopub.status.idle": "2021-07-14T09:29:17.084167Z",
     "shell.execute_reply": "2021-07-14T09:29:17.083605Z",
     "shell.execute_reply.started": "2021-07-13T07:59:37.456075Z"
    },
    "papermill": {
     "duration": 10.108343,
     "end_time": "2021-07-14T09:29:17.084337",
     "exception": false,
     "start_time": "2021-07-14T09:29:06.975994",
     "status": "completed"
    },
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:09<00:00, 26601.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[('1', 370354),\n",
      " ('28', 324683),\n",
      " ('164', 289927),\n",
      " ('14', 284915),\n",
      " ('29', 258330),\n",
      " ('196', 233589),\n",
      " ('200', 216048),\n",
      " ('5', 190309),\n",
      " ('32', 188267),\n",
      " ('2', 171447),\n",
      " ('15', 167346),\n",
      " ('127', 152368),\n",
      " ('73', 145888),\n",
      " ('199', 143226),\n",
      " ('86', 143203),\n",
      " ('33', 136150),\n",
      " ('126', 126780),\n",
      " ('7', 120695),\n",
      " ('235', 120047),\n",
      " ('30', 119854),\n",
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      " ('99', 70854),\n",
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      " ('105', 58548),\n",
      " ('13', 58383),\n",
      " ('106', 57261),\n",
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      " ('36', 53448),\n",
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      " ('79', 51637),\n",
      " ('133', 51323),\n",
      " ('61', 51160),\n",
      " ('37', 50663),\n",
      " ('137', 50170),\n",
      " ('104', 48922),\n",
      " ('212', 48272),\n",
      " ('113', 48134),\n",
      " ('238', 46978),\n",
      " ('128', 45971),\n",
      " ('75', 41266),\n",
      " ('136', 40584),\n",
      " ('102', 40339),\n",
      " ('43', 40144),\n",
      " ('23', 39612),\n",
      " ('85', 36234),\n",
      " ('52', 36042),\n",
      " ('22', 35973),\n",
      " ('111', 34785),\n",
      " ('211', 34774),\n",
      " ('114', 33377),\n",
      " ('112', 33133),\n",
      " ('83', 32892),\n",
      " ('183', 31668),\n",
      " ('58', 31652),\n",
      " ('53', 31564),\n",
      " ('87', 30778),\n",
      " ('55', 30503),\n",
      " ('103', 30132),\n",
      " ('134', 30012),\n",
      " ('135', 29611),\n",
      " ('108', 28891),\n",
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      " ('54', 28615),\n",
      " ('41', 28307),\n",
      " ('192', 27803),\n",
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      " ('218', 26765),\n",
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      " ('188', 24602),\n",
      " ('217', 24568),\n",
      " ('109', 23143),\n",
      " ('40', 22824),\n",
      " ('219', 22471),\n",
      " ('46', 21429),\n",
      " ('221', 18764),\n",
      " ('190', 18211),\n",
      " ('220', 17766),\n",
      " ('216', 16810),\n",
      " ('193', 15170),\n",
      " ('191', 14094),\n",
      " ('187', 13580),\n",
      " ('189', 13449),\n",
      " ('45', 13129),\n",
      " ('159', 13085),\n",
      " ('44', 12117),\n",
      " ('214', 11914),\n",
      " ('236', 11452),\n",
      " ('194', 11346),\n",
      " ('57', 10967),\n",
      " ('59', 9995),\n",
      " ('149', 8202),\n",
      " ('148', 8043),\n",
      " ('160', 7856),\n",
      " ('185', 7529),\n",
      " ('47', 7130),\n",
      " ('171', 6865),\n",
      " ('142', 6807),\n",
      " ('50', 6640),\n",
      " ('93', 6562),\n",
      " ('42', 6256),\n",
      " ('222', 6227),\n",
      " ('195', 5758),\n",
      " ('89', 5139),\n",
      " ('170', 4802),\n",
      " ('138', 4776),\n",
      " ('90', 4720),\n",
      " ('154', 4659),\n",
      " ('140', 4623),\n",
      " ('215', 4496),\n",
      " ('115', 4256),\n",
      " ('139', 4197),\n",
      " ('91', 4088),\n",
      " ('49', 4001),\n",
      " ('60', 3961),\n",
      " ('141', 3826),\n",
      " ('150', 3726),\n",
      " ('48', 3670),\n",
      " ('119', 3629),\n",
      " ('66', 3545),\n",
      " ('117', 3456),\n",
      " ('151', 3383),\n",
      " ('92', 3351),\n",
      " ('62', 3272),\n",
      " ('145', 3253),\n",
      " ('116', 3203),\n",
      " ('161', 3185),\n",
      " ('245', 3135),\n",
      " ('144', 3077),\n",
      " ('186', 2927),\n",
      " ('124', 2925),\n",
      " ('118', 2837),\n",
      " ('97', 2803),\n",
      " ('96', 2754),\n",
      " ('165', 2722),\n",
      " ('205', 2653),\n",
      " ('121', 2653),\n",
      " ('153', 2615),\n",
      " ('120', 2583),\n",
      " ('64', 2428),\n",
      " ('241', 2426),\n",
      " ('95', 2418),\n",
      " ('143', 2337),\n",
      " ('147', 2258),\n",
      " ('122', 2252),\n",
      " ('94', 2232),\n",
      " ('166', 2037),\n",
      " ('244', 2032),\n",
      " ('201', 2004),\n",
      " ('155', 1983),\n",
      " ('204', 1968),\n",
      " ('227', 1954),\n",
      " ('65', 1921),\n",
      " ('173', 1859),\n",
      " ('206', 1704),\n",
      " ('63', 1670),\n",
      " ('202', 1649),\n",
      " ('146', 1639),\n",
      " ('68', 1621),\n",
      " ('98', 1598),\n",
      " ('223', 1590),\n",
      " ('123', 1507),\n",
      " ('225', 1482),\n",
      " ('69', 1431),\n",
      " ('67', 1403),\n",
      " ('203', 1396),\n",
      " ('163', 1329),\n",
      " ('156', 1305),\n",
      " ('243', 1298),\n",
      " ('250', 1282),\n",
      " ('248', 1264),\n",
      " ('224', 1182),\n",
      " ('210', 1180),\n",
      " ('208', 1165),\n",
      " ('242', 1140),\n",
      " ('197', 1114),\n",
      " ('249', 1088),\n",
      " ('226', 1073),\n",
      " ('247', 1051),\n",
      " ('71', 1026),\n",
      " ('162', 999),\n",
      " ('209', 999),\n",
      " ('231', 955),\n",
      " ('70', 949),\n",
      " ('177', 931),\n",
      " ('198', 928),\n",
      " ('158', 921),\n",
      " ('246', 918),\n",
      " ('230', 729),\n",
      " ('232', 699),\n",
      " ('167', 642),\n",
      " ('207', 634),\n",
      " ('176', 527),\n",
      " ('229', 502),\n",
      " ('175', 486),\n",
      " ('228', 458),\n",
      " ('157', 439),\n",
      " ('179', 399),\n",
      " ('182', 388),\n",
      " ('181', 372),\n",
      " ('174', 356),\n",
      " ('152', 325),\n",
      " ('168', 310),\n",
      " ('178', 288),\n",
      " ('180', 271),\n",
      " ('338', 131),\n",
      " ('169', 85),\n",
      " ('354', 50),\n",
      " ('285', 25),\n",
      " ('299', 16),\n",
      " ('309', 15),\n",
      " ('316', 15),\n",
      " ('289', 13),\n",
      " ('364', 12),\n",
      " ('292', 11),\n",
      " ('351', 9),\n",
      " ('333', 9),\n",
      " ('272', 8),\n",
      " ('319', 6),\n",
      " ('307', 6),\n",
      " ('367', 6),\n",
      " ('300', 6),\n",
      " ('278', 6),\n",
      " ('335', 6),\n",
      " ('352', 5),\n",
      " ('337', 5),\n",
      " ('268', 5),\n",
      " ('328', 4),\n",
      " ('348', 4),\n",
      " ('298', 4),\n",
      " ('366', 4),\n",
      " ('353', 3),\n",
      " ('365', 3),\n",
      " ('375', 3),\n",
      " ('340', 3),\n",
      " ('275', 3),\n",
      " ('342', 3),\n",
      " ('357', 3),\n",
      " ('306', 2),\n",
      " ('355', 2),\n",
      " ('330', 2),\n",
      " ('266', 2),\n",
      " ('350', 2),\n",
      " ('344', 2),\n",
      " ('370', 1),\n",
      " ('303', 1),\n",
      " ('334', 1),\n",
      " ('273', 1)]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "counter = defaultdict(lambda: 0)\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_click_history = df_trainset.at[i, 'user_click_history']\n",
    "    if user_click_history == '':\n",
    "        continue\n",
    "    for c in user_click_history.split(','):\n",
    "        itemid = c.split(':')[0]\n",
    "        counter[itemid] += 1\n",
    "counter = dict(counter)\n",
    "counter_sorted = sorted(counter.items(), key=lambda x: x[1], reverse=True)\n",
    "pprint(counter_sorted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ad50026d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:29:17.726462Z",
     "iopub.status.busy": "2021-07-14T09:29:17.725725Z",
     "iopub.status.idle": "2021-07-14T09:29:22.299061Z",
     "shell.execute_reply": "2021-07-14T09:29:22.298368Z",
     "shell.execute_reply.started": "2021-07-13T07:59:45.978446Z"
    },
    "papermill": {
     "duration": 4.893658,
     "end_time": "2021-07-14T09:29:22.299221",
     "exception": false,
     "start_time": "2021-07-14T09:29:17.405563",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "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": [
    "nums_to_plot = counter_sorted\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item clicked? (All)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item clicked times')\n",
    "# plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "nums_to_plot = counter_sorted[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item clicked? (Top)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item clicked times')\n",
    "# plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "nums_to_plot = counter_sorted[-40:]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item clicked? (Bottom)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item clicked times')\n",
    "# plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "264d9b60",
   "metadata": {
    "papermill": {
     "duration": 0.356391,
     "end_time": "2021-07-14T09:29:23.008298",
     "exception": false,
     "start_time": "2021-07-14T09:29:22.651907",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "click by session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f38e793c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:29:23.666122Z",
     "iopub.status.busy": "2021-07-14T09:29:23.665339Z",
     "iopub.status.idle": "2021-07-14T09:29:38.329057Z",
     "shell.execute_reply": "2021-07-14T09:29:38.328481Z",
     "shell.execute_reply.started": "2021-07-13T07:59:49.597689Z"
    },
    "papermill": {
     "duration": 14.996215,
     "end_time": "2021-07-14T09:29:38.329199",
     "exception": false,
     "start_time": "2021-07-14T09:29:23.332984",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:14<00:00, 17745.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(1, 4606977), (2, 3608173), (3, 2220648)]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# count sum\n",
    "counter = defaultdict(lambda: 0)\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_click_history = df_trainset.at[i, 'user_click_history']\n",
    "    if user_click_history == '':\n",
    "        continue\n",
    "    for c in user_click_history.split(','):\n",
    "        itemid = int(c.split(':')[0])\n",
    "        if 1 <= itemid <= 39:\n",
    "            counter[1] += 1\n",
    "        elif 40 <= itemid <= 147:\n",
    "            counter[2] += 1\n",
    "        elif 148 <= itemid <= 381:\n",
    "            counter[3] += 1\n",
    "        else:\n",
    "            print('error!')\n",
    "            print(itemid, c)\n",
    "            break\n",
    "counter = dict(counter)\n",
    "counter_sorted = sorted(counter.items(), key=lambda x: x[1], reverse=True)\n",
    "pprint(counter_sorted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "09c4680a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:29:39.037389Z",
     "iopub.status.busy": "2021-07-14T09:29:39.036703Z",
     "iopub.status.idle": "2021-07-14T09:29:48.681189Z",
     "shell.execute_reply": "2021-07-14T09:29:48.681675Z",
     "shell.execute_reply.started": "2021-07-13T08:00:02.548120Z"
    },
    "papermill": {
     "duration": 10.00539,
     "end_time": "2021-07-14T09:29:48.681857",
     "exception": false,
     "start_time": "2021-07-14T09:29:38.676467",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:09<00:00, 26990.31it/s]\n"
     ]
    }
   ],
   "source": [
    "counter = defaultdict(lambda: 0)\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_click_history = df_trainset.at[i, 'user_click_history']\n",
    "    if user_click_history == '':\n",
    "        continue\n",
    "    for c in user_click_history.split(','):\n",
    "        itemid = c.split(':')[0]\n",
    "        counter[itemid] += 1\n",
    "counter = dict(counter)\n",
    "counter_sorted = sorted(counter.items(), key=lambda x: x[1], reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ebc8868b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:29:49.489503Z",
     "iopub.status.busy": "2021-07-14T09:29:49.481727Z",
     "iopub.status.idle": "2021-07-14T09:29:50.777397Z",
     "shell.execute_reply": "2021-07-14T09:29:50.776602Z",
     "shell.execute_reply.started": "2021-07-13T08:00:11.149695Z"
    },
    "papermill": {
     "duration": 1.715326,
     "end_time": "2021-07-14T09:29:50.777569",
     "exception": false,
     "start_time": "2021-07-14T09:29:49.062243",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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rk+zZRlM9CPh029RJwMToqwcPlEuSJEmSZmA+f47jI8A3gHsmWZPkkJ7FTwa+D6wC3gu8CKCqrgZeB5zd/l7bymjLvK+t8z3glFZ+FPDoJJcCj2rTkiRJkqQZmrd7HKvqGdPMXz7wuIAXT7HcscCxQ8pXAvcdUv5zYO8xw5UkSZIkTWFBR1WVJEmSJK17TBwlSZIkSb1MHCVJkiRJvUwcJUmSJEm9TBwlSZIkSb1MHCVJkiRJvUwcJUmSJEm9TBwlSZIkSb1MHCVJkiRJvUwcJUmSJEm9TBwlSZIkSb1MHCVJkiRJvUwcJUmSJEm9TBwlSZIkSb1MHCVJkiRJvUwcJUmSJEm9TBwlSZIkSb2WLXYAEsDywz+31vTqox63SJFIkiRJmswWR0mSJElSLxNHSZIkSVIvE0dJkiRJUi8TR0mSJElSLxNHSZIkSVIvE0dJkiRJUi8TR0mSJElSr3lLHJMcm+TKJBcOlL05ySVJzk/yySRbDsw7IsmqJN9N8piB8n1b2aokhw+U75TkrFb+0SQbt/JN2vSqNn/5fO2jJEmSJG0I5rPF8Thg30llpwP3rao/Bf4XOAIgyS7AAcB92jrvSrJRko2AdwL7AbsAz2jLArwJOLqq7g5cAxzSyg8BrmnlR7flJEmSJEkzNG+JY1V9Bbh6UtlpVXVTmzwT2KE9XgGcUFU3VtUPgFXAHu1vVVV9v6p+A5wArEgS4JHAiW3944H9B+o6vj0+Edi7LS9JkiRJmoHFvMfxucAp7fH2wGUD89a0sqnKbwdcO5CETpSvVVebf11bXpIkSZI0A4uSOCb5B+Am4MOLsf2BOA5NsjLJyquuumoxQ5EkSZKkJWvBE8ckzwYeDxxYVdWKLwd2HFhsh1Y2VfnPgS2TLJtUvlZdbf4Wbfmbqar3VNXuVbX7tttuO8s9kyRJkqT104Imjkn2Bf4eeGJV/Wpg1knAAW1E1J2AnYFvAmcDO7cRVDemG0DnpJZwfgl4Slv/YODTA3Ud3B4/BfjiQIIqSZIkSRrTsukXmZkkHwH2ArZJsgY4km4U1U2A09t4NWdW1Quq6qIkHwO+Q9eF9cVV9btWz2HAqcBGwLFVdVHbxCuBE5K8HvgWcEwrPwb4YJJVdIPzHDBf+6ila/nhn1trevVRj1ukSCRJkqR137wljlX1jCHFxwwpm1j+DcAbhpSfDJw8pPz7dKOuTi7/NfDUsYKVJEmSJE1pMUdVlSRJkiStA0wcJUmSJEm9TBwlSZIkSb1MHCVJkiRJvUwcJUmSJEm95m1UVWl94U97SJIkaUNni6MkSZIkqZeJoyRJkiSpl4mjJEmSJKmXiaMkSZIkqZeD40gLyIF2JEmStC6yxVGSJEmS1MvEUZIkSZLUy8RRkiRJktTLxFGSJEmS1MvBcaR1mIPtSJIkaSHY4ihJkiRJ6mXiKEmSJEnqZeIoSZIkSeo1beKY5CFJbtMe/2WStya5y/yHJkmSJElaCkZpcXw38KskuwKvAL4HfGBeo5IkSZIkLRmjJI43VVUBK4B/q6p3ApvNb1iSJEmSpKVilJ/juCHJEcCzgIcluQVwy/kNS5IkSZK0VIzS4vh04EbguVX1E2AH4M3zGpUkSZIkacmYNnFsyeIngE1a0c+AT85nUJIkSZKkpWOUUVWfB5wI/Ecr2h741AjrHZvkyiQXDpRtneT0JJe2/1u18iR5R5JVSc5PstvAOge35S9NcvBA+QOSXNDWeUeS9G1DkiRJkjQzo3RVfTHwEOB6gKq6FLj9COsdB+w7qexw4AtVtTPwhTYNsB+wc/s7lG4kV5JsDRwJPAjYAzhyIBF8N/C8gfX2nWYbkiRJkqQZGCVxvLGqfjMxkWQZUNOtVFVfAa6eVLwCOL49Ph7Yf6D8A9U5E9gyyXbAY4DTq+rqqroGOB3Yt83bvKrObCO+fmBSXcO2IUmSJEmagVESxzOSvArYNMmjgY8Dn5nh9u5QVVe0xz8B7tAebw9cNrDcmlbWV75mSHnfNiRJkiRJMzBK4ng4cBVwAfB84GTgH2e74dZSOG3L5XxuI8mhSVYmWXnVVVfNZyiSJEmStM4aZVTV31fVe6vqqVX1lPZ4pgnfT1s3U9r/K1v55cCOA8vt0Mr6yncYUt63jWH79p6q2r2qdt92221nuEuSJEmStH4bZVTVxyf5VpKrk1yf5IYk189weycBEyOjHgx8eqD8oDa66p7Ada276anAPkm2aoPi7AOc2uZdn2TPNprqQZPqGrYNSZIkSdIMLBthmbcBTwYuGKelMclHgL2AbZKsoRsd9SjgY0kOAX4IPK0tfjLwWGAV8CvgOQBVdXWS1wFnt+VeW1UTA+68iG7k1k2BU9ofPduQJEmSJM3AKInjZcCF43ZPrapnTDFr7yHLFt3Pfgyr51jg2CHlK4H7Din/+bBtSJIkSZJmZpTE8e+Bk5OcAdw4UVhVb523qCRJkiRJS8YoieMbgF8AtwI2nt9wJEmSJElLzSiJ452q6mZdQiVJkiRJG4ZREseTk+xTVafNezSSFs3ywz+31vTqox63SJFIkiRpqZn25ziAFwL/neT/5uDnOCRJkiRJ65hpWxyrarOFCESSJEmStDRNmTgmuVdVXZJkt2Hzq+rc+QtLkiRJkrRU9LU4/g1wKPCWIfMKeOS8RCRJkiRJWlKmTByr6tD2cL+q+vXgvCS3mteoJEmSJElLxiiD43x9xDJJkiRJ0nqo7x7HOwLbA5smuT+QNmtz4NYLEJukdZg/7yFJkrT+6LvH8THAs4Ed6O5znEgcrwdeNb9hSZIkSZKWir57HI8Hjk/yF1X1iQWMSZLWYuulJEnS4pr2HkeTRkmSJEnasI0yOI4kSZIkaQNm4ihJkiRJ6tU3quqT+1asqv+a+3AkSZIkSUtN36iqT2j/bw88GPhim/5zut9xNHGUtE4aHGzHgXYkSZKm1zeq6nMAkpwG7FJVV7Tp7YDjFiQ6SZIkSdKiG+Uexx0nksbmp8Cd5ykeSZIkSdIS09dVdcIXkpwKfKRNPx34/PyFJEmSJElaSqZNHKvqsCRPAh7eit5TVZ+c37AkSZIkSUvFKC2OAOcCN1TV55PcOslmVXXDfAYmSZIkSVoapr3HMcnzgBOB/2hF2wOfmseYJEmSJElLyCiD47wYeAhwPUBVXUr3Ex2SJEmSpA3AKInjjVX1m4mJJMuAms1Gk7w8yUVJLkzykSS3SrJTkrOSrEry0SQbt2U3adOr2vzlA/Uc0cq/m+QxA+X7trJVSQ6fTaySJEmStKEbJXE8I8mrgE2TPBr4OPCZmW4wyfbAXwO7V9V9gY2AA4A3AUdX1d2Ba4BD2iqHANe08qPbciTZpa13H2Bf4F1JNkqyEfBOYD9gF+AZbVlJkiRJ0gyMkjgeDlwFXAA8Hzi5qv5hlttdRpeILgNuDVwBPJLuXkqA44H92+MVbZo2f+8kaeUnVNWNVfUDYBWwR/tbVVXfby2lJ7RlJUmSJEkzMEri+Oqqem9VPbWqngIcm+TDM91gVV0O/AvwI7qE8TrgHODaqrqpLbaGbhAe2v/L2ro3teVvN1g+aZ2pyiVJkiRJMzBK4rhjkiMA2n2HnwAunekGk2xF1wK4E3An4DZ0XU0XXJJDk6xMsvKqq65ajBAkSZIkackbJXF8LvAnLXn8LHBGVb16Ftt8FPCDqrqqqn4L/BfdqK1btq6rADsAl7fHlwM7wh8G5tkC+Plg+aR1piq/map6T1XtXlW7b7vttrPYJUmSJElafy2bakaS3QYm3073O45foxssZ7eqOneG2/wRsGeSWwP/B+wNrAS+BDyF7p7Eg4FPt+VPatPfaPO/WFWV5CTgP5O8la7lcmfgm0CAnZPsRJcwHgA8c4axSlKv5Yd/bq3p1Uc9bpEikSRJmj9TJo7AWyZNX0M3Sulb6H6O45Ez2WBVnZXkROBc4CbgW8B7gM8BJyR5fSs7pq1yDPDBJKuAq+kSQarqoiQfA77T6nlxVf0OIMlhwKl0I7YeW1UXzSRWSZIkSVJP4lhVfz5fG62qI4EjJxV/n25E1MnL/hp46hT1vAF4w5Dyk4GTZx+pJEmSJGnaexyTvDHJlgPTW7VWQUmSJEnSBqCvq+qE/arqVRMTVXVNkscC/zh/YUnShsf7JSVJ0lI1yqiqGyXZZGIiyabAJj3LS5IkSZLWI6O0OH4Y+EKS97fp5wDHz19IkqS5YAumJEmaK9MmjlX1piTn0/1sBsDrqurU+Q1LkiRJkrRUjNLiSFWdApwyz7FIkiRJkpagKRPHJP9TVQ9NcgPd7zb+YRZQVbX5vEcnSZIkSVp0fb/j+ND2f7OFC0eSJEmStNT0tThu3bdiVV099+FIkiRJkpaavnscz6Hropoh8wq467xEJEmSJElaUvq6qu60kIFIkpYuf9pDkqQN2y2mWyDJk5JsMTC9ZZL95zUqSZIkSdKSMW3iCBxZVddNTFTVtcCR8xaRJEmSJGlJGSVxHLbMSL//KEmSJEla942SAK5M8lbgnW36xXQD50iSNCOD90x6v6QkSUvfKC2OLwF+A3wUOAH4NV3yKEmSJEnaAEzb4lhVvwQOX4BYJEmSJElLkPcqSpLWaf5UiCRJ82+UrqqSJEmSpA2YLY6SJDVz3Xppa6gkaX0xbeKYZCe6AXKWDy5fVU+cv7AkSZIkSUvFKC2OnwKOAT4D/H5eo5EkSZIkLTmjJI6/rqp3zHskkiRpSnZ7lSQtplESx7cnORI4DbhxorCqzp23qCRJkiRJS8YoieOfAM8CHskfu6pWm5YkSZIkredG+TmOpwJ3rapHVNWft79ZJY1JtkxyYpJLklyc5M+SbJ3k9CSXtv9btWWT5B1JViU5P8luA/Uc3Ja/NMnBA+UPSHJBW+cdSTKbeCVJkiRpQzZK4nghsOUcb/ftwH9X1b2AXYGLgcOBL1TVzsAX2jTAfsDO7e9Q4N0ASbYGjgQeBOwBHDmRbLZlnjew3r5zHL8kSZIkbTBG6aq6JXBJkrNZ+x7HGf0cR5ItgIcDz271/Ab4TZIVwF5tseOBLwOvBFYAH6iqAs5srZXbtWVPr6qrW72nA/sm+TKweVWd2co/AOwPnDKTeCVJkiRpQzdK4njkHG9zJ+Aq4P1JdgXOAV4K3KGqrmjL/AS4Q3u8PXDZwPprWllf+Zoh5ZIkSZKkGZi2q2pVnQGsBm7ZHp8NzGZE1WXAbsC7q+r+wC/5Y7fUiW0W3QA88yrJoUlWJll51VVXzffmJEmSJGmdNG3imOR5wInAf7Si7YFPzWKba4A1VXVWmz6RLpH8aeuCSvt/ZZt/ObDjwPo7tLK+8h2GlN9MVb2nqnavqt233XbbWeySJEmSJK2/Rumq+mK6wWfOAqiqS5PcfqYbrKqfJLksyT2r6rvA3sB32t/BwFHt/6fbKicBhyU5gW4gnOuq6ookpwJvHBgQZx/giKq6Osn1SfZsMR8E/OtM45UkaX20/PDPrTW9+qjHLVIkkqR1wSiJ441V9ZuJX7RIsozZdyN9CfDhJBsD3weeQ9f6+bEkhwA/BJ7Wlj0ZeCywCvhVW5aWIL6OrusswGsnBsoBXgQcB2xKNyiOA+NIkiRJ0gyNkjiekeRVwKZJHk2XlH1mNhutqm8Duw+ZtfeQZYuu1XNYPccCxw4pXwncdzYxSpIkSZI6oySOhwOHABcAzwdOrqr3zmtUkiRpnTGX3V7tQitJS9MoieNLqurtwB+SxSQvbWWSJEmSpPXctKOq0g1UM9mz5zgOSZIkSdISNWWLY5JnAM8Edkpy0sCszYCrh68lSZIkSVrf9HVV/TpwBbAN8JaB8huA8+czKEmSpLngPZOSNDemTByr6od0P4vxZwsXjiRJkiRpqenrqvo/VfXQJDew9u82hu5XMjaf9+gkSZIkSYuur8Xxoe3/ZgsXjiRJkiRpqRllVFVJkiRJ0gZslN9xlCRJ2uA50I6kDZmJoyRJ0iKYy0TUpFbSfLOrqiRJkiSply2OkiRJWstgC6atl5LAFkdJkiRJ0jRscZQkSdK88f5Laf1g4ihJkqR1gkmotHjsqipJkiRJ6mXiKEmSJEnqZeIoSZIkSerlPY6SJEnaIHnPpDQ6WxwlSZIkSb1MHCVJkiRJvUwcJUmSJEm9TBwlSZIkSb1MHCVJkiRJvRYtcUyyUZJvJflsm94pyVlJViX5aJKNW/kmbXpVm798oI4jWvl3kzxmoHzfVrYqyeELvnOSJEmStB5ZzBbHlwIXD0y/CTi6qu4OXAMc0soPAa5p5Ue35UiyC3AAcB9gX+BdLRndCHgnsB+wC/CMtqwkSZIkaQYW5Xcck+wAPA54A/A3SQI8EnhmW+R44NXAu4EV7THAicC/teVXACdU1Y3AD5KsAvZoy62qqu+3bZ3Qlv3OPO+WJEmSNlD+JqTWd4uSOAJvA/4e2KxN3w64tqpuatNrgO3b4+2BywCq6qYk17XltwfOHKhzcJ3LJpU/aI7jlyRJkubNYCI62yTUpFZzYcETxySPB66sqnOS7LXQ258Uy6HAoQB3vvOdFzMUSZIkackzCd1wLcY9jg8BnphkNXACXRfVtwNbJplIZHcALm+PLwd2BGjztwB+Plg+aZ2pym+mqt5TVbtX1e7bbrvt7PdMkiRJktZDC544VtURVbVDVS2nG9zmi1V1IPAl4CltsYOBT7fHJ7Vp2vwvVlW18gPaqKs7ATsD3wTOBnZuo7Ru3LZx0gLsmiRJkiStlxbrHsdhXgmckOT1wLeAY1r5McAH2+A3V9MlglTVRUk+RjfozU3Ai6vqdwBJDgNOBTYCjq2qixZ0TyRJkiRpPbKoiWNVfRn4cnv8ff44KurgMr8GnjrF+m+gG5l1cvnJwMlzGKokSZIkbbAW83ccJUmSJEnrgKXUVVWSJEnSBsRRWtcdJo6SJEmS1nkmofPLrqqSJEmSpF62OEqSJEnSJIMtmLZe2uIoSZIkSZqGLY6SJEmSNI/Wh/svbXGUJEmSJPUycZQkSZIk9TJxlCRJkiT1MnGUJEmSJPUycZQkSZIk9TJxlCRJkiT1MnGUJEmSJPUycZQkSZIk9TJxlCRJkiT1MnGUJEmSJPUycZQkSZIk9TJxlCRJkiT1MnGUJEmSJPUycZQkSZIk9TJxlCRJkiT1MnGUJEmSJPUycZQkSZIk9TJxlCRJkiT1WvDEMcmOSb6U5DtJLkry0la+dZLTk1za/m/VypPkHUlWJTk/yW4DdR3clr80ycED5Q9IckFb5x1JstD7KUmSJEnri8VocbwJeEVV7QLsCbw4yS7A4cAXqmpn4AttGmA/YOf2dyjwbugSTeBI4EHAHsCRE8lmW+Z5A+vtuwD7JUmSJEnrpQVPHKvqiqo6tz2+AbgY2B5YARzfFjse2L89XgF8oDpnAlsm2Q54DHB6VV1dVdcApwP7tnmbV9WZVVXABwbqkiRJkiSNaVHvcUyyHLg/cBZwh6q6os36CXCH9nh74LKB1da0sr7yNUPKJUmSJEkzsGiJY5LbAp8AXlZV1w/Oay2FtQAxHJpkZZKVV1111XxvTpIkSZLWSYuSOCa5JV3S+OGq+q9W/NPWzZT2/8pWfjmw48DqO7SyvvIdhpTfTFW9p6p2r6rdt91229ntlCRJkiStpxZjVNUAxwAXV9VbB2adBEyMjHow8OmB8oPa6Kp7Ate1Lq2nAvsk2aoNirMPcGqbd32SPdu2DhqoS5IkSZI0pmWLsM2HAM8CLkjy7Vb2KuAo4GNJDgF+CDytzTsZeCywCvgV8ByAqro6yeuAs9tyr62qq9vjFwHHAZsCp7Q/SZIkSdIMLHjiWFX/A0z1u4p7D1m+gBdPUdexwLFDylcC951FmJIkSZKkZlFHVZUkSZIkLX0mjpIkSZKkXiaOkiRJkqReJo6SJEmSpF4mjpIkSZKkXiaOkiRJkqReJo6SJEmSpF4mjpIkSZKkXiaOkiRJkqReJo6SJEmSpF4mjpIkSZKkXiaOkiRJkqReJo6SJEmSpF4mjpIkSZKkXiaOkiRJkqReJo6SJEmSpF4mjpIkSZKkXiaOkiRJkqReJo6SJEmSpF4mjpIkSZKkXiaOkiRJkqReJo6SJEmSpF4mjpIkSZKkXiaOkiRJkqReJo6SJEmSpF7rbeKYZN8k302yKsnhix2PJEmSJK2r1svEMclGwDuB/YBdgGck2WVxo5IkSZKkddN6mTgCewCrqur7VfUb4ARgxSLHJEmSJEnrpPU1cdweuGxgek0rkyRJkiSNKVW12DHMuSRPAfatqr9q088CHlRVh01a7lDg0DZ5T+C7CxroeLYBfrYE65rr+jaU2DaU/Zzr+pZqXXNdn7GtX3XNdX0bSmwbyn7OdX1Lta65rm9DiW1D2c+5rm9Dim2u3aWqth02Y9lCR7JALgd2HJjeoZWtpareA7xnoYKajSQrq2r3pVbXXNe3ocS2oeznXNe3VOua6/qMbf2qa67r21Bi21D2c67rW6p1zXV9G0psG8p+znV9G1JsC2l97ap6NrBzkp2SbAwcAJy0yDFJkiRJ0jppvWxxrKqbkhwGnApsBBxbVRctcliSJEmStE5aLxNHgKo6GTh5seOYQ3PZpXauu+ca2+LWNdf1bSixbSj7Odf1bSixbSj7Odf1LdW65rq+DSW2DWU/57q+pVrXXNdnbItf14JaLwfHkSRJkiTNnfX1HkdJkiRJ0hwxcVwCkhyb5MokFw6UvTnJJUnOT/LJJFu28gOTfHvg7/dJ7tdT9z0nLX99kpcleV2r+9tJTktypxFjfXmSi5JcmOQjSW6VzhuS/G+Si5P89Vzsa5v3p0m+0bZ5QZJbTVPX1klOT3Jp+79VK79Xq+fGJH8729iSLE/yfwPP67/37PNUx+CjA2Wrk3x7mqe/r64pn8MR6hx2TA9LsipJJdmmZ91hz9nQc6udJ+9o9Z6fZLdp4lrdjvm3k6xsZU9tsf4+yVgjkg2rr5W/pD13FyX55znYzwNb+QVJvp5k1xHrm+pc2zjJ+1t95yXZa4S6proOxj0GL23nxUVJXtbKdm3X0gVJPpNk8571x3neZnqNTrWvfzdwnVyY5HdJtu6Jddh1sFOSs9rz9dF0g631yhTX6MD8V2Sa62qU2AbmvSPJL3rWHec52yvJdQOx/9Ns6huo89st/jN64pzyecsI1+godSW5X5IzW9nKJHtMV9c09Y10LYx5HawYKF+Z5KHTxLZlkhPb83Nxkj/LGK+TY8Y27TU17vnR5j8wyU3pfkpturqG7luSPQZiOy/Jk0aoa6rX3FsmOb4d14uTHDHNczjV+fHqJJcPlD92tsegzeu9psY5Bhnh/WpI/Rsl+VaSz7bpY9pzfn47F287XR1tvZfn5q+5xyX5wcBzdr9R6mr1DfvMMNJnozHPtdsl+VKSXyT5t9nWNzD/zq3Ooe9/S0ZV+bfIf8DDgd2ACwfK9gGWtcdvAt40ZL0/Ab43xnY2An4C3AXYfKD8r4F/H2H97YEfAJu26Y8BzwaeA3wAuEUrv/1c7CvdPbjnA7u26dsBG01T1z8Dh7fHhw/UdXvggcAbgL+dg9iWDy43k2MwqfwtwD/NtK5Rzpcxj+n92z6uBrYZ83gOPbeAxwKnAAH2BM6aJrabbRu4N91vrn4Z2H3M52tYfX8OfB7YpO/cHXM/Hwxs1R7vN2w/xzzXXgy8f+A8Pod2rc3gOhj5GAD3BS4Ebk13LX4euDvdqNWPaMs8F3jdHJ0fM71Gh+7rpPWeAHxxBtfBx4ADWtm/Ay+c6TXapnekG7Tth5PPxXFja493Bz4I/GLMYzDV+bEX8Nlp4hmnvi2B7wB37ru++p43RrxGR6zrNGC/gWvhy+PUNaS+ka6FMa+D2/LH24j+FLhkmniOB/6qPd64Pecjv06OE9so19Q458fA8/lFujEpnjJCXUP3jfY61R5vB1w5Md1T11Svuc8EThiodzWwfAbnx6uZ4rVsFufHlkxzTY1zDBjh/WpI/X8D/CfttWJSrG+d2M40dUz1mnvc5PNgjGtzNTd/jx/ps9GY59ptgIcCLwD+bbb1Dcw/Efj4KOfMYv7Z4rgEVNVXgKsnlZ1WVTe1yTPpfotysmcAJ4yxqb3pEs0fVtX1A+W3AWrEOpYBmyZZRveC+mPghcBrq+r3LfYrp1p5zH3dBzi/qs5ry/28qn7XVxewgu6NlPZ//4mYqups4LdzFNtM/eEYTBQkCfA04CMzrWuWcd7smFbVt6pq9XQrTvGcTXVurQA+UJ0zgS2TbDdGnFTVxVX13XHWmcYLgaOq6sZW/9Bzd5z9rKqvV9U1rXzosRjzXNuF7oPVRHzX0iUMU9bFFNcB4x2De9N9iPhVi+sM4MnAPYCvtGVOB/5iivXHfd5mdI0y9b4OegbTX1+Tr4MrgEfSvZn31d1n8vV+NPD3jP56O1VsP06yEfDmVt+UZvGczUV9zwT+q6p+1Nad8r1hksHnbaRrdMS6CphoFdyC7v1rXIP1jXQtjHkd/KLap0imeW9OsgXdB9Rj2rq/qaprx3mdHPM1fNDQa2oG59tLgE/QJXqjxDZ03wZepwBuNTnmMV9zC7hNu942BX4DDD4nfW72Hj+dMY/BtNfUmJ+Npn2/GpRkB+BxwPsmx9o+y2zK6K9vwz5PzqlRPxuNea79sqr+B/h1z3ZHrg8gyf50ifSS/wUIE8d1w3PpWgkmezrjJRsHDC6frnvpZcCBwM26JE1WVZcD/wL8iO5D1XVVdRpwN+Dp6brVnJJk5zFimmxwX+8BVJJTk5ybpPcDUnOHqrqiPf4JcIdZxNIXG8BOrbvGGUkeNmIdax2D5mHAT6vq0jHjGVbXsDin1HNMZ2WKc2t74LKBxda0sinDA05Lck6SQ2cb0xT13QN4WLruiGckeeA4FY5wDR3CiMdiksFjeB7wxCTLkuwEPICu5arPVNfBOMfgQrrn5nZJbk3XQrMj3RvbirbMU0eI5WbGfe2ZRu8132Lfl+7D6VDDrgO6lt1rBz50THe+DvOHazTJCuDyiS/CRtVzjR4GnDSw7+Poe87+rHU7OyXJfWZZ3z2ArZJ8uV13B41Y3+Br26yu0Ul1vQx4czv3/gXo7YI4Qn2zuhamug6SPCnJJcDn6F4LprITcBXw/vZe9L4ktxknhnFja/OmvaYmGXp+JNkeeBLw7jmK+UFJLgIuAF4wcO2OYvA190Tgl3TX24+Af6mqyYnYVCa/Lx/Wukkem0lddKczxTGY6TU1ymejUd6v3kb3ZdXvJ8X6/lbvvYB/nS6YaT57vKE9Z0cn2WS6ugarpf8zw8ifjRZSuq69rwRes9ixjMLEcYlL8g/ATcCHJ5U/CPhVVV04dMWb17Mx8ES6ZnAAquofqmrHVvdhI9SxFd2b5E7Anei+kftLYBPg11W1O/Be4NhRYhpS/+R9XUbXHeDA9v9JSfYetb72re243+yPGtsVdF1F7k/rtpGee71aHTc7Bs0orSEj1TXV+dJTz1THdFbGPbem8NCq2o2u+8yLkzx8lmENq28ZsDVdt82/Az7WvjUdSd9+JvlzujfiV44T5JBjeCxd0rKS7k3768Dvhq48PMYZXQdVdTFd157TgP8Gvt22+1zgRUnOATaj+zZ+3Lrn4vwYVu+wfX0C8LW+D37DrgO6D8YzNniNtg/ar2IGSfIU1+hBdInKtB/QpjPpOTuXrlvtrq3uT82yvmV0X3Q8DngM8P+S3KNv/SGvbTO+RofU9ULg5e3cezmtpW5UQ+qb1bUw1XVQVZ+sqnvRtQq9rqeKZXTd4d7d3ot+SdcNcdamuUanvaZ66h08P94GvLJab6XZqqqzquo+dF3ej8jAvcB9hrzm7kH3WncnuuvuFUnuOkI9k8+Pd9N9sX4/us8Mbxl5Z5jyGIx9TQ2p92avk6O8XyV5PHBlVZ0zpM7n0D1fF9M1avTq+exxBF3y+UC6636c988pPzOM+9logb0aOLqqprxXfSkxcVzCkjwbeDxw4EDXlQlTtTZNZT/g3Kr66ZB5H6anu9mARwE/qKqrquq3wH/R9Y9f0x4DfJLuvoyxTLGva4CvVNXPqupXdPdA9A7mAfw0retd+z9ut6aRYquqG6vq5+3xOcD36L4J7HOzY9C6aDwZ+OiYYQ2r62ZxjmCqYzpXBs+ty1n7G/kdWtlQ7RvJia44n6R7M5+xKepbQ9ftp6rqm3Tfoo48aMmAta6hJH9K15VnxcR5MoopzrWbqurlVXW/qlpBd4/L/05T1VTXwbjH4JiqekBVPRy4BvjfqrqkqvapqgfQvQZ9b9T9G2LU154+013zo7xWDrsOHkLXlXfi9457n6shBq/Ru9F9QDovyepW17lJ7jhCPcNiew3d/aarWn23TrJqjNiGPmdVdf3Eh5fqfgv5lhltEJ+pjsEa4NTqunb9jK5b567T1DX5tW021+jkug7mj+9VH2f815S16pvDa2HodVBdd7e79hyDNcCaqjqrTZ/I9O+RcxHbuJ8/pjo/dgdOaOfwU4B3peuyNyvtS69f0N2n3WuK981nAv9dVb9t7xdfY+D2gB6Tz4+fVtXvWmL8Xmb+HjZ4DGZyTUHP6+QY71cPoev9spruNqlHJvnQxMzqbiU6gVl8nqyqK9q1fiPwfsZ4zqb6zDDDz0YL6UHAP7fn9WXAq5LM2Reqc83EcYlKsi9dd4AntqRpcN4t6O6JG+f+xrVatbJ2d9IVwCUj1PEjYM8kt27f+O5N9+3Sp+gGMAB4BNN/qF1Lz76eCvxJ296yVvd3pqnuJLoPB7T/nx4nllFjS7JtunuMaN9E7gx8f5rqhrUsPopu8IM1Y4Y2+XhOeb5MY6pjOmM959ZJwEHp7EnXNWVoN7skt0my2cRjuvtdR2pdH7O+T9HO3fat7cbAz0asc+h+Jrkz3Zvgs6pq5Guh51y7dYuZJI8GbqqqmV4HIx+Dtr3bD+zTk+la1ifKbgH8I92gMSOb4WtPnymv+XT3gD2C6V8Hhl0H3wG+RPeB9mZ1j+AP12hVXVBVt6+q5VW1nO7D325V9ZMR6hkW21ur6o4D9f2qqu4+RmxDn7Mkd5xozUs34ugtgFG++JjqGHwaeGi6bta3pvuANN3ry+TXyU8xw2t0SF0/pjsfoLt/ddzbAya/7s74Wuh5/bj7wDHYja5Hz9Bj0M6fy5LcsxVNnLez0neNjnFNDRp6flTVTgPn8InAi6rqUzOMeaeJL3mS3IWu1Wr1NOtM9b75I7rzY+L9Yk9Ge52afH4M3j/+JMZ4D+s5BjO5pmDqa37k96uqOqKqdmjH6wC6e++fleTura7QtbjO+PPkQHIbuhb3UXvVDX2Pn8VnowVTVQ8buA7eBryxqoaO1rok1BIYoWdD/6N7obmCblCINXTdBVbR3Yv07fb37wPL7wWcOUb9t6F749lioOwTdBfk+cBngO1HrOs1dC8KF9KN5rcJXQvI5+juK/gGbRTUOdrXv6S7j+RC4J9HqOt2wBfoPhB8Hti6LXvHtsz1dIOLrGFgJLBxY6P7Ru2iVnYu8IRxj0ErP47uXoxxzpdhx3PK53CGx/Sv23NwE92HrfeNcTyHnlt0I3m+k+5b+QvoGe0PuCvdvX3ntef5H1r5k9p2bgR+SvfN6yj7OFV9GwMfavGeCzxyDvbzfXStcxPHYuVsrgO60W2/S/fh4PPcfETeca6DkY9BW/6rdB9EzwP2bmUvpfty6H+Bo2gjQM7B8zbTa3Tovrbln00bHXGG18FdgW+2Y/Nx2sieM7lGJ81fzYijqk4V26T5faOqjnN+HEZ3fZxHN5DEg2dTX1v+79o5dCHwsnGfN0a8Rkes66F0966eB5wFPGCMYzCsvpGuhTGvg1fyx/eWb9B1v+uL63503djPp0uyt2KM18lxYhvlmhr3/BhY7zhuPqrqsLqG7hvwLNZ+T95/hLqmes29Ld31fhHduft3Mzw/Pkj3Ons+XeK23Rwdg95rapxjwAjvV1PEvBfwWbovl77W9vNCutbRzUesY9hr7hcH6voQcNsR65rqPX6kz0bjnGtt+dV0g9/8oi2zy2zqG1jv1SzxUVUnhnyWJEmSJGkou6pKkiRJknqZOEqSJEmSepk4SpIkSZJ6mThKkiRJknqZOEqSJEmSepk4SpI0h5J8vf1fnuSZc1jvC5IcNKR8eZIZ/86pJEmjWLbYAUiStD6pqge3h8uBZwL/OUf1jvwD85IkzTVbHCVJmkNJftEeHgU8LMm3k7w8yUZJ3pzk7CTnJ3l+W36vJGck+XSS7yc5KsmBSb6Z5IIkd2vLvTrJ37bHD0hyXpLzgBcvyo5KkjYoJo6SJM2Pw4GvVtX9qupo4BDguqp6IPBA4HlJdmrL7gq8ALg38CzgHlW1B/A+4CVD6n4/8JKq2nW+d0KSJDBxlCRpoewDHJTk28BZwO2Andu8s6vqiqq6EfgecForv4Cuy+sfJNkS2LKqvtKKPji/YUuS5D2OkiQtlNC1Ep66VmGyF3DjQNHvB6Z/j+/VkqQlwBZHSZLmxw3AZgPTpwIvTHJLgCT3SHKbcSutqmuBa5M8tBUdONtAJUmajt9iSpI0P84HftcGsDkOeDtdt9NzkwS4Cth/hnU/Bzg2SfHHbq2SJM2bVNVixyBJkiRJWsLsqipJkiRJ6mXiKEmSJEnqZeIoSZIkSepl4ihJkiRJ6mXiKEmSJEnqZeIoSZIkSepl4ihJkiRJ6mXiKEmSJEnq9f8DfURt7ofc85oAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "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": [
    "counter_sorted_session1 = [s for s in counter_sorted if 1 <= int(s[0]) <= 39]\n",
    "counter_sorted_session2 = [s for s in counter_sorted if 40 <= int(s[0]) <= 147]\n",
    "counter_sorted_session3 = [s for s in counter_sorted if 148 <= int(s[0]) <= 381]\n",
    "\n",
    "nums_to_plot = counter_sorted_session1\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item clicked? (Session 1)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item clicked times')\n",
    "# plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "nums_to_plot = counter_sorted_session2[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item clicked? (Session 2)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item clicked times')\n",
    "# plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "nums_to_plot = counter_sorted_session3[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item clicked? (Session 3)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item clicked times')\n",
    "# plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b32958c8",
   "metadata": {
    "papermill": {
     "duration": 0.391375,
     "end_time": "2021-07-14T09:29:51.565358",
     "exception": false,
     "start_time": "2021-07-14T09:29:51.173983",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "509bcf0e",
   "metadata": {
    "papermill": {
     "duration": 0.375188,
     "end_time": "2021-07-14T09:29:52.365072",
     "exception": false,
     "start_time": "2021-07-14T09:29:51.989884",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e5c3d38d",
   "metadata": {
    "papermill": {
     "duration": 0.376247,
     "end_time": "2021-07-14T09:29:53.120817",
     "exception": false,
     "start_time": "2021-07-14T09:29:52.744570",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "31eef47c",
   "metadata": {
    "papermill": {
     "duration": 0.381436,
     "end_time": "2021-07-14T09:29:53.880718",
     "exception": false,
     "start_time": "2021-07-14T09:29:53.499282",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "909257b0",
   "metadata": {
    "papermill": {
     "duration": 0.387721,
     "end_time": "2021-07-14T09:29:54.659281",
     "exception": false,
     "start_time": "2021-07-14T09:29:54.271560",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a603b711",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-13T03:33:17.494343Z",
     "iopub.status.busy": "2021-07-13T03:33:17.493992Z",
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   "source": [
    "## exposed_items and bought analysis"
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   "source": [
    "expose by session"
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      "100%|██████████| 260087/260087 [00:06<00:00, 41672.33it/s]\n"
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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "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": [
    "## expose should only be counted when users are in that session\n",
    "# s1: 0~2, s2: 3~5, s3: 6~9\n",
    "\n",
    "counter = defaultdict(lambda: 0)\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_exposed_history = df_trainset.at[i, 'exposed_items']\n",
    "    num_bought = sum([int(l) for l in df_trainset.at[i, 'labels'].split(',')])\n",
    "    for idx, itemid in enumerate(user_exposed_history.split(',')):\n",
    "        if 0 <= idx <= 2:\n",
    "            counter[itemid] += 1\n",
    "        elif 3 <= idx <= 5 and num_bought >= 3: \n",
    "            counter[itemid] += 1\n",
    "        elif 6 <= idx <= 8 and num_bought >= 6:\n",
    "            counter[itemid] += 1\n",
    "counter = dict(counter)\n",
    "counter_sorted = sorted(counter.items(), key=lambda x: x[1], reverse=True)\n",
    "pprint(counter_sorted)\n",
    "\n",
    "counter_sorted_session1 = [s for s in counter_sorted if 1 <= int(s[0]) <= 39]\n",
    "counter_sorted_session2 = [s for s in counter_sorted if 40 <= int(s[0]) <= 147]\n",
    "counter_sorted_session3 = [s for s in counter_sorted if 148 <= int(s[0]) <= 381]\n",
    "\n",
    "nums_to_plot = counter_sorted_session1\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item exposed? (Session 1)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed times')\n",
    "# plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "nums_to_plot = counter_sorted_session2[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item exposed? (Session 2)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed times')\n",
    "# plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "nums_to_plot = counter_sorted_session3[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item exposed? (Session 3)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed times')\n",
    "# plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea3aaf87",
   "metadata": {
    "papermill": {
     "duration": 0.413675,
     "end_time": "2021-07-14T09:30:05.732612",
     "exception": false,
     "start_time": "2021-07-14T09:30:05.318937",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "bought by session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "69404d79",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:30:06.579697Z",
     "iopub.status.busy": "2021-07-14T09:30:06.570295Z",
     "iopub.status.idle": "2021-07-14T09:30:12.969031Z",
     "shell.execute_reply": "2021-07-14T09:30:12.968451Z",
     "shell.execute_reply.started": "2021-07-13T08:01:00.175269Z"
    },
    "papermill": {
     "duration": 6.823248,
     "end_time": "2021-07-14T09:30:12.969182",
     "exception": false,
     "start_time": "2021-07-14T09:30:06.145934",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:04<00:00, 52238.74it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "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": [
    "counter = defaultdict(lambda: 0)\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_exposed_history = df_trainset.at[i, 'exposed_items'].split(',')\n",
    "    labels = df_trainset.at[i, 'labels'].split(',')\n",
    "    for idx, itemid in enumerate(user_exposed_history):\n",
    "        if labels[idx] == '1':\n",
    "            counter[itemid] += 1\n",
    "counter = dict(counter)\n",
    "counter_sorted = sorted(counter.items(), key=lambda x: x[1], reverse=True)\n",
    "# pprint(counter_sorted)\n",
    "\n",
    "counter_sorted_session1 = [s for s in counter_sorted if 1 <= int(s[0]) <= 39]\n",
    "counter_sorted_session2 = [s for s in counter_sorted if 40 <= int(s[0]) <= 147]\n",
    "counter_sorted_session3 = [s for s in counter_sorted if 148 <= int(s[0]) <= 381]\n",
    "\n",
    "nums_to_plot = counter_sorted_session1\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item bought? (Session 1)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item bought times')\n",
    "# plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "nums_to_plot = counter_sorted_session2[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item bought? (Session 2)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item bought times')\n",
    "# plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "nums_to_plot = counter_sorted_session3[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1] for n in nums_to_plot]\n",
    "plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "plt.title('How many times is item bought? (Session 3)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item bought times')\n",
    "# plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2dcb7fa7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-13T03:54:02.442032Z",
     "iopub.status.busy": "2021-07-13T03:54:02.441602Z",
     "iopub.status.idle": "2021-07-13T03:54:02.448336Z",
     "shell.execute_reply": "2021-07-13T03:54:02.446801Z",
     "shell.execute_reply.started": "2021-07-13T03:54:02.441987Z"
    },
    "papermill": {
     "duration": 0.442186,
     "end_time": "2021-07-14T09:30:13.840439",
     "exception": false,
     "start_time": "2021-07-14T09:30:13.398253",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "expose vs bought"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4e61a711",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:30:14.717247Z",
     "iopub.status.busy": "2021-07-14T09:30:14.716129Z",
     "iopub.status.idle": "2021-07-14T09:30:26.283325Z",
     "shell.execute_reply": "2021-07-14T09:30:26.282773Z",
     "shell.execute_reply.started": "2021-07-13T08:05:39.898605Z"
    },
    "papermill": {
     "duration": 12.016134,
     "end_time": "2021-07-14T09:30:26.283473",
     "exception": false,
     "start_time": "2021-07-14T09:30:14.267339",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:08<00:00, 29641.30it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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gBwAAAGBBCPQAAAAALAiBHgAAAIAFIdADAAAAsCAEegAAAAAWhEAPAAAAwIIQ6AEAAABYEAI9AAAAAAtCoAcAAABgQQj0AAAAACyIfbe6Aqxf1fLp3ZtbDwAAAGB70aMHAAAAYEEI9AAAAAAsCIEeAAAAgAUh0AMAAACwIAR6AAAAABbEXAM9VfW5qjq1qk6pqp1j2jWr6riq+tT49xpjelXV86rqjKr6aFXdaiKfI8ftP1VVR06k33rM/4zxtVPuRwUAAACw+DajR89Pdfctu3vHuPy0JO/q7sOTvGtcTpL7Jjl8fDwuyd8nQ2AoyTOS3C7JbZM8Y1dwaNzmsROvu8/8mwMAAACwPW3F0K0jkhw1Pj8qyYMm0l/Rgw8mOaCqDkpy7yTHdff53f2VJMcluc+4bv/u/mB3d5JXTOQFAAAAsNeZd6Cnk7yzqk6uqseNadft7nPG519Ict3x+cFJzpx47Vlj2krpZy2TDgAAALBX2nfO+d+pu8+uquskOa6qPjG5sru7qnrOdcgYZHpckvzgD/7gvIsDAAAA2BJz7dHT3WePf89N8uYMc+x8cRx2lfHvuePmZyc5dOLlh4xpK6Ufskz6cvV4UXfv6O4dBx544EabBQAAALAtzS3QU1VXqaqr7Xqe5F5JTktyTJJdd846MslbxufHJHnkePet2yf56jjE69gk96qqa4yTMN8rybHjugur6vbj3bYeOZEXAAAAwF5nnkO3rpvkzeMdz/dN8pru/reqOinJ66vqMUk+n+Tnx+3fnuR+Sc5I8o0kj06S7j6/qp6d5KRxu2d19/nj819L8vIkV0ryjvEBAAAAsFeq4YZVe48dO3b0zp07t7oaGzLEzi5rLzuUAAAAsNeqqpO7e8fS9K24vToAAAAAcyDQAwAAALAgBHoAAAAAFoRADwAAAMCCEOgBAAAAWBACPQAAAAALQqAHAAAAYEEI9AAAAAAsCIEeAAAAgAUh0AMAAACwIAR6AAAAABaEQA8AAADAghDoAQAAAFgQAj0AAAAAC0KgBwAAAGBBCPQAAAAALAiBHgAAAIAFIdADAAAAsCAEegAAAAAWhEAPAAAAwIIQ6AEAAABYEAI9AAAAAAti362uANtT1fR13ZtXDwAAAGDtBHoWRKeS5YIzojIAAACw1zB0CwAAAGBBCPQAAAAALAiBHgAAAIAFIdADAAAAsCAEegAAAAAWhEAPAAAAwIIQ6AEAAABYEAI9AAAAAAtCoAcAAABgQQj0AAAAACwIgR4AAACABSHQAwAAALAg9t3qCrB3q1o+vXtz6wEAAACLQI8eAAAAgAUh0AMAAACwIAR6AAAAABaEQA8AAADAghDoAQAAAFgQAj0AAAAAC0KgBwAAAGBBCPQAAAAALAiBHgAAAIAFIdADAAAAsCAEegAAAAAWhEAPAAAAwIIQ6AEAAABYEAI9AAAAAAtCoAcAAABgQQj0AAAAACwIgR4AAACABSHQAwAAALAgBHoAAAAAFoRADwAAAMCCEOgBAAAAWBBzD/RU1T5V9eGq+tdx+QZVdUJVnVFVr6uqy4/pVxiXzxjXHzaRx9PH9E9W1b0n0u8zpp1RVU+bd1sAAAAAtrPN6NHzlCQfn1j+8yTP7e4bJflKkseM6Y9J8pUx/bnjdqmqmyZ5aJKbJblPkheOwaN9krwgyX2T3DTJw8ZtAQAAAPZKcw30VNUhSX46yYvH5UpytyRvHDc5KsmDxudHjMsZ19993P6IJK/t7ou7+7NJzkhy2/FxRnd/pru/leS147YAAAAAe6V59+j5myS/k+SScflaSS7o7u+My2clOXh8fnCSM5NkXP/VcfvvpS95zbR0AAAAgL3S3AI9VXX/JOd298nzKmMddXlcVe2sqp3nnXfeVlcHAAAAYC7m2aPnJ5I8sKo+l2FY1d2S/G2SA6pq33GbQ5KcPT4/O8mhSTKuv3qSL0+mL3nNtPTL6O4XdfeO7t5x4IEHbrxlAAAAANvQ3AI93f307j6kuw/LMJnyu7v74Unek+Tnxs2OTPKW8fkx43LG9e/u7h7THzrelesGSQ5PcmKSk5IcPt7F6/JjGcfMqz0AAAAA292+q28yc7+b5LVV9cdJPpzkJWP6S5K8sqrOSHJ+hsBNuvv0qnp9ko8l+U6SJ3b3d5Okqn49ybFJ9kny0u4+fVNbspfp1PCkllvZm1oXAAAA4LKq97If6Dt27OidO3dudTU2pJYJtPSy0ZfsdgBmXWXMuJwNZAcAAAB7hao6ubt3LE2f9123AAAAANgkAj0AAAAAC0KgBwAAAGBBCPQAAAAALAiBHgAAAIAFIdADAAAAsCD23eoKwFKdyrJ3cnfPdQAAAFiRHj0AAAAAC0KgBwAAAGBBGLrFwqvlhoGNjAYDAABgkejRAwAAALAgBHoAAAAAFsSqgZ6qukpVXW58fuOqemBV7Tf/qgEAAACwHmvp0fO+JFesqoOTvDPJI5K8fJ6VAgAAAGD91hLoqe7+RpIHJ3lhdz8kyc3mWy0AAAAA1mtNgZ6qukOShyd525i2z/yqBAAAAMDuWEug56lJnp7kzd19elX9UJL3zLVWAAAAAKzbvqtt0N3HJzm+qq48Ln8myZPnXTEAAAAA1mctd926Q1V9LMknxuVbVNUL514zAAAAANZlLUO3/ibJvZN8OUm6+yNJ7jzHOgEAAACwG9YS6El3n7kk6btzqAsAAAAAG7DqHD1JzqyqOybpqtovyVOSfHy+1QIAAABgvdbSo+fxSZ6Y5OAkZye55bgMAAAAwDaylrtufSnJwzehLgAAAABswKqBnqq6QZInJTlscvvufuD8qgUAAADAeq1ljp6jk7wkyVuTXDLX2gAAAACw29YS6Plmdz9v7jUBAAAAYEPWEuj526p6RpJ3Jrl4V2J3f2hutQIAAABg3dYS6PnRJI9Icrd8f+hWj8sAAAAAbBNrCfQ8JMkPdfe35l0ZAAAAAHbf5dawzWlJDphzPQAAAADYoLX06DkgySeq6qRceo4et1cHAAAA2EbWEuh5xtxrAQAAAMCGrRro6e7jN6MiAAAAAGzM1EBPVX2gu+9UVRdluMvW91Yl6e7ef+61AwAAAGDNpgZ6uvtO49+rbV51AAAAANhdq951q6peuZY0AAAAALbWWm6vfrPJharaN8mt51MdAAAAAHbX1EBPVT19nJ/nx6rqwvFxUZIvJnnLptUQAAAAgDWZGujp7j8b5+f5y+7ef3xcrbuv1d1P38Q6wh6havkHAAAAbJZVh24J6gAAAADsGabedQsWWWfsarNcj5vuTa0LAAAAzMpaJmMGAAAAYA/g9uoAAAAAC2J3bq++T9xeHQAAAGDb2Z3bq58bt1cHAAAA2HbcXh0AAABgQax6163ufnpVHZzk+pPbd/f75lkx4LJqubuEjdwsDAAAgFUDPVX1nCQPTfKxJN8dkzuJQA8AAADANrJqoCfJzyT54e6+eN6VAQAAAGD3reWuW59Jst+8KwIAAADAxkzt0VNVz88wROsbSU6pqncl+V6vnu5+8vyrBwAAAMBarTR0a+f49+Qkx2xCXQAAAADYgKmBnu4+ajMrAgAAAMDGrOWuW6dmGMI16asZevz8cXd/eR4VAwAAAGB91nLXrXdkuK36a8blhya5cpIvJHl5kgfMpWYAAAAArMtaAj336O5bTSyfWlUf6u5bVdUvzatiAAAAAKzPWm6vvk9V3XbXQlXdJsk+4+J35lIrAAAAANZtLYGeX0nykqr6bFV9LslLkjy2qq6S5M+mvaiqrlhVJ1bVR6rq9Kr6ozH9BlV1QlWdUVWvq6rLj+lXGJfPGNcfNpHX08f0T1bVvSfS7zOmnVFVT9utPQAAAACwIFYN9HT3Sd39o0lumeQW3f1j3X1id3+9u1+/wksvTnK37r7F+Nr7VNXtk/x5kud2942SfCXJY8btH5PkK2P6c8ftUlU3zTAv0M2S3CfJC6tqn6raJ8kLktw3yU2TPGzcFgAAAGCvtJa7bv3hkuUkSXc/a6XXdXcn+dq4uN/46CR3S/KLY/pRSZ6Z5O+THDE+T5I3Jvm7Ggo7Islru/viJJ+tqjOS7BpKdkZ3f2as12vHbT+2WpsAAAAAFtFahm59feLx3Qw9aA5bS+Zjz5tTkpyb5Lgkn05yQXfvmtvnrCQHj88PTnJmkozrv5rkWpPpS14zLX25ejyuqnZW1c7zzjtvLVUHAAAA2OOs2qOnu/9qcrmq/m+SY9eSeXd/N8ktq+qAJG9O8iO7UccN6+4XJXlRkuzYsaO3og4AAAAA87aWHj1LXTnJIet5QXdfkOQ9Se6Q5ICq2hVgOiTJ2ePzs5McmiTj+qsn+fJk+pLXTEsHAAAA2CutGuipqlOr6qPj4/Qkn0zyN2t43YFjT55U1ZWS3DPJxzMEfH5u3OzIJG8Znx8zLmdc/+5xnp9jkjx0vCvXDZIcnuTEJCclOXy8i9flM0zYfMzqTQYAAABYTKsO3Upy/4nn30nyxYk5dlZyUJKjxrtjXS7J67v7X6vqY0leW1V/nOTDGW7XnvHvK8fJls/PELhJd59eVa/PMMnyd5I8cRwSlqr69QzDyPZJ8tLuPn0N9QIAAABYSDV0mlllo6pbJPnJcfF93f3RudZqjnbs2NE7d+7c6mpsyHjjs0vpLJOYJGs4vhsuY7PK2QPbsoHs1lXGrMsBAABge6uqk7t7x9L0tQzdekqSVye5zvh4dVU9afZVBAAAAGAj1jJ06zFJbtfdX0+SqvrzJP+Z5PnzrBgAAAAA67OWu25Vku9OLH93TAMAAABgG1lLj56XJTmhqt6cIcBzRL4/gTIAAAAA28SqgZ7u/uuqem+SOyXpJI/u7g/Pu2IAAAAArM9ahm7tUkv+AgAAALCNrOWuW3+Y5Kgk10hy7SQvq6o/mHfFAAAAAFiftczR8/Akt+jubyZJVT0nySlJ/niO9QIAAABgndYydOt/klxxYvkKSc6eT3UAAAAA2F1Te/RU1fMzTL781SSnV9Vx4/I9k5y4OdUDAAAAYK1WGrq1c/x7cpI3T6S/d261AQAAAGC3TQ30dPdRm1kRAAAAADZmLZMxA3uZquXTuze3HgAAAKzPWiZjBgAAAGAPINADAAAAsCDWPXSrqv40w524XtzdX559lQAAAADYHbvTo+fEJN9J8twZ1wUAAACADVh3j57uPnoO9QAAAABgg6YGeqrq+Umm3mOnu588lxoBAAAAsFtWGrq1M8nJSa6Y5FZJPjU+bpnk8nOvGQAAAADrMrVHT3cflSRV9YQkd+ru74zL/5Dk/ZtTPdizdSqp5VZM7SwHAAAAu20tkzFfI8n+E8tXHdMAAAAA2EbWMhnzc5J8uKrek6Fvwp2TPHOelQIAAABg/VYN9HT3y6rqHUluNyb9bnd/Yb7VAgAAAGC9Vh26VVWV5B5JbtHdb0ly+aq67dxrBgAAAMC6rGWOnhcmuUOSh43LFyV5wdxqBAAAAMBuWcscPbfr7ltV1YeTpLu/UlVurw4AAACwzaylR8+3q2qfJJ0kVXVgkkvmWisAAAAA1m0tgZ7nJXlzkutU1Z8k+UCSP51rrQAAAABYt7XcdevVVXVykrtnuL36g7r743OvGbDQqqav6968egAAACyStdx164ZJPtvdL0hyWpJ7VtUB864YsDadSqeGyMnSBwAAAHuVtQzdelOS71bVjZL8Y5JDk7xmrrUCAAAAYN3WEui5pLu/k+TBSf6uu387yUHzrRYAAAAA67WW26t/u6oeluSRSR4wpu03vyoBzM60EWzmAQIAABbRWnr0PDrJHZL8SXd/tqpukOSV860WAAAAAOu1aqCnuz+W5LeSnFpVN09yVnf/+dxrBgAAAMC6rDp0q6rumuSoJJ/LcHv1Q6vqyO5+31xrBgAAAMC6rGWOnr9Kcq/u/mSSVNWNk/xzklvPs2IAAAAArM9a5ujZb1eQJ0m6+79iMmYAAACAbWctPXp2VtWLk7xqXH54kp3zqxIAAAAAu2MtgZ4nJHlikiePy+9P8sK51QgAAACA3bJqoKe7L66qv0vyriSXJPlkd39r7jUDAAAAYF3Wctetn07yD0k+neGuWzeoql/t7nfMu3IAAAAArN1a77r1U919RpJU1Q2TvC2JQA8AAADANrKWu25dtCvIM/pMkovmVB8AAAAAdtNa77r19iSvT9JJHpLkpKp6cJJ097/MsX4AAAAArNFaAj1XTPLFJHcZl89LcqUkD8gQ+BHoAQAAANgG1nLXrUcvTauqy7vzFgAAAMD2suocPVX13qo6bGL5NklOmmelAAAAAFi/tQzd+rMk/1ZVz0tycJL7JblMLx+AWehUUsut6E2vCwAAwJ5mLUO3jq2qxyc5LsmXkvx4d39h7jUDAAAAYF3WMnTr/yR5fpI7J3lmkvdW1U/PuV7ANjP0tFnmAQAAwLaxlqFb10py2+7+3yT/WVX/luTFSd4215oBAAAAsC6r9ujp7qcmSVX98Lj8+e6+55zrBQAAAMA6rWXo1gOSnJLk38blW1bVMXOuF8AeY7kRbUa2AQAAW2HVQE+GeXlum+SCJOnuU5L80NxqBAAAAMBuWUug59vd/dUlaZfMozIAAAAA7L61BHpOr6pfTLJPVR1eVc9P8h+rvaiqDq2q91TVx6rq9Kp6yph+zao6rqo+Nf69xpheVfW8qjqjqj5aVbeayOvIcftPVdWRE+m3rqpTx9c8r8pACQAAAGDvtZZAz5OS3CzJxUlek+SrSZ66htd9J8lvdvdNk9w+yROr6qZJnpbkXd19eJJ3jctJct8kh4+PxyX5+2QIDCV5RpLbZRhC9oxdwaFxm8dOvO4+a6gXAAAAwEJay123vtHdv9/dtxkff9Dd31zD687p7g+Nzy9K8vEkByc5IslR42ZHJXnQ+PyIJK/owQeTHFBVByW5d5Ljuvv87v5KkuOS3Gdct393f7C7O8krJvICAAAA2OvsuxmFVNVhSX48yQlJrtvd54yrvpDkuuPzg5OcOfGys8a0ldLPWiYdYCFNG5zavbn1AAAAtq+1DN3akKq6apI3JXlqd184uW7siTP3nyhV9biq2llVO88777x5Fwdscx33Ql+JW8UDAMCea66BnqraL0OQ59Xd/S9j8hfHYVcZ/547pp+d5NCJlx8ypq2Ufsgy6ZfR3S/q7h3dvePAAw/cWKMA2DDBJAAAmI9VAz1VdYOq+uuq+peqOmbXYw2vqyQvSfLx7v7riVXHJNl156wjk7xlIv2R4923bp/kq+MQr2OT3KuqrjFOwnyvJMeO6y6sqtuPZT1yIi8AEFACAGCvs5Y5eo7OELB5a5JL1pH3TyR5RJJTq+qUMe33kjwnyeur6jFJPp/k58d1b09yvyRnJPlGkkcnSXefX1XPTnLSuN2zuvv88fmvJXl5kislecf4AAAAANgrVa8yi2dVndDdt9uk+szdjh07eufOnVtdjQ1Z7r/RndnO0rquMjarHG1Z+LZsVjmb1ZYNZLmucmY9GfNmlLNIbQEAgK1QVSd3946l6Wvp0fO3VfWMJO9McvGuxF23TgeAvdkiBfo2qy0AAMzPWgI9P5phCNbd8v2hWz0uAwAAALBNrCXQ85AkP9Td35p3ZQAAAADYfWu5vfppSQ6Ycz0AgL2Eu6EBAMzPWnr0HJDkE1V1Ui49R88D51UpAAAAANZvLYGeZ8y9FgAAAABs2KqBnu4+vqqun+Tw7v73qrpykn3mXzUAAAAA1mPVOXqq6rFJ3pjkH8ekg5McPcc6AQAAALAb1jIZ8xOT/ESSC5Okuz+V5DrzrBQAwEZMm/B51pM+m1gaANhu1jJHz8Xd/a0av7VU1b5Jeq61AgAgycqBo/aNDABYYi09eo6vqt9LcqWqumeSNyR563yrBQAAAMB6rSXQ87Qk5yU5NcmvJnl7d//+XGsFAAAAwLqtZejWk7r7b5P8066EqnrKmAYAwAKYNkTM8DAA2LOspUfPkcukPWrG9QAAAABgg6b26KmqhyX5xSQ3qKpjJlZdLcn5864YAAAAAOuz0tCt/0hyTpJrJ/mrifSLknx0npUCAAAAYP2mBnq6+/NJPp/kDptXHQAAAAB210pDtz7Q3XeqqouSTE7DV0m6u/efe+0AYMY6NXySXWaFGWcBANjzrdSj507j36ttXnUAAAAA2F1ruesWAAAAAHuAlSZjBgCAmanlhk2OjJ4EgNnQowcAAABgQejRA8CqTGAMAAB7Bj16AAAAABaEQA8AAADAgjB0CwCAhTJt0mejTQHYGwj0AMyJeW2YN+cYAABLGboFAAAAsCD06AEAgN1giBgA25EePQAAAAALQo8eALaFqfPNJP49DgAAa6RHDwAAAMCC0KMHAAC2KfMAAbBeAj0AwFS9azyd27jDQtuMgNJmBa0Ex4C9naFbAAAAAAtCjx4AAIB1mNZrKNFzCNh6Aj0AwJabetc1v5i2lOMCW8swNGB3CPQAAMyQ4AgAsJUEegD2YFN/UCZ+VMISizSx9CK1BQCYLYEeAJgxP8IBANgq7roFAAAAsCAEegAAAAAWhEAPAAAAwIIwRw8AAAvP3dAA2FsI9AAAsKUEYQBgdgzdAgAAAFgQAj0AAAAAC0KgBwAAAGBBCPQAAAAALAiBHgAAAIAF4a5bAADAZbgbGsCeSaAHAABgL1XLBfNGYnqwZxLoAQCAPcjUnjaJX+ZsW9MCSk5ZmD1z9AAAAAAsCD16AABgRsxrA1vHMDQY6NEDAAAAsCD06AEAANig3tWVS4+uhWe+IbY7PXoAAAAAFsTcAj1V9dKqOreqTptIu2ZVHVdVnxr/XmNMr6p6XlWdUVUfrapbTbzmyHH7T1XVkRPpt66qU8fXPK9qpRGZAAAAsGeomv6A1cyzR8/Lk9xnSdrTkryruw9P8q5xOUnum+Tw8fG4JH+fDIGhJM9Icrskt03yjF3BoXGbx068bmlZAAAAAHuVuQV6uvt9Sc5fknxEkqPG50cledBE+it68MEkB1TVQUnuneS47j6/u7+S5Lgk9xnX7d/dH+zuTvKKibwAAAC+Z7gbmq4RwN5hs+fouW53nzM+/0KS647PD05y5sR2Z41pK6WftUz6sqrqcVW1s6p2nnfeeRtrAQAAAMA2tWWTMY89cTZlXvLuflF37+juHQceeOBmFAkAAKxiak8bvW0AdttmB3q+OA67yvj33DH97CSHTmx3yJi2Uvohy6QDAAAA7LU2O9BzTJJdd846MslbJtIfOd596/ZJvjoO8To2yb2q6hrjJMz3SnLsuO7Cqrr9eLetR07kBQAAsJDMNwSsZt95ZVxV/5zkrkmuXVVnZbh71nOSvL6qHpPk80l+ftz87Unul+SMJN9I8ugk6e7zq+rZSU4at3tWd++a4PnXMtzZ60pJ3jE+AAAAgDWYFiPsTZlkhXmZW6Cnux82ZdXdl9m2kzxxSj4vTfLSZdJ3Jrn5RuoIAAAAsEi2bDJmAAAAAGZLoAcAAABgQcxt6BYAAABMM0wsvdwKE8TARgj0AAAA8D29K/oiCAN7JIEeAAAA2AC9k9hOzNEDAAAAsCAEegAAAAAWhEAPAAAAwIIwRw8AAAAwF7Xc3EUjUxjNhx49AAAAAAtCjx4AAAAWklvFszfSowcAAABgQejRAwAAACQZe0HpAbVHE+gBAACAbc4wtJVNm/R5b9w1hm4BAAAALAiBHgAAAIAFIdADAAAAsCAEegAAAAAWhEAPAAAAwIIQ6AEAAABYEAI9AAAAAAtCoAcAAABgQey71RUAAAAA9i6dSmq5Fb3pdVk0evQAAAAALAiBHgAAAIAFIdADAAAAsCDM0QMAAAAsnL11HiA9egAAAAAWhEAPAAAAwIIQ6AEAAABYEAI9AAAAAAtCoAcAAABgQQj0AAAAACwIgR4AAACABSHQAwAAALAgBHoAAAAAFoRADwAAAMCCEOgBAAAAWBACPQAAAAALQqAHAAAAYEEI9AAAAAAsCIEeAAAAgAUh0AMAAACwIAR6AAAAABaEQA8AAADAghDoAQAAAFgQAj0AAAAAC0KgBwAAAGBBCPQAAAAALAiBHgAAAIAFIdADAAAAsCAEegAAAAAWhEAPAAAAwIIQ6AEAAABYEAI9AAAAAAtCoAcAAABgQQj0AAAAACyIPT7QU1X3qapPVtUZVfW0ra4PAAAAwFbZowM9VbVPkhckuW+SmyZ5WFXddGtrBQAAALA19uhAT5LbJjmjuz/T3d9K8tokR2xxnQAAAAC2xJ4e6Dk4yZkTy2eNaQAAAAB7nX23ugKboaoel+Rx4+LXquqTW1mfGbt2ki/VtLU1dc3sytiscrRl2XIq+dLUtXtYWzahnL2nLZtVjrasr4zNKkdb1lfGZpXjvX+rytl72rJZ5WjL+srYrHK0ZdlyFun9cpHasgnlbFZbttr1l0vc0wM9Zyc5dGL5kDHtUrr7RUletFmV2kxVtbO7d+zpZWxWOYvUls0qR1u2Zznasj3L0ZbtWc4itWWzytGW7VmOtmzPcrRl7y5HW7ZnOZvVlu1qTx+6dVKSw6vqBlV1+SQPTXLMFtcJAAAAYEvs0T16uvs7VfXrSY5Nsk+Sl3b36VtcLQAAAIAtsUcHepKku9+e5O1bXY8ttBlD0jZr2Ju2bM9ytGV7lqMt27Mcbdme5SxSWzarHG3ZnuVoy/YsR1v27nK0ZXuWs5BTt6xVdfdW1wEAAACAGdjT5+gBAAAAYCTQs4eoqkOr6j1V9bGqOr2qnjKm37KqPlhVp1TVzqq67QzLfGlVnVtVp80qz7XkXVW/WVVdVdfeYBnT9tktquo/q+rUqnprVe2/gTKuWFUnVtVHxjL+aEx/dVV9sqpOG9u630basky5nxvrf0pV7Zxl3hNlLLv/ZpDvZY59VT2zqs4e23NKVd1vBuVMOzYvGdM+WlVvrKqrzqGMG1TVCVV1RlW9bpwsfiNtmXYuz3y/LSl3n6r6cFX96yzznch/2f03r3yr6tfHY7Lh95cxv2nH5SHj8iVVtaG7Pay2j6rqeVX1tY2UsUyZPzxxTp1SVRdW1VNnlPdy1/81q+q4qvrU+PcaGyxj2vG/W1V9aHxfPqqqZjp8vaoOGN9TPlFVH6+qO8wgz2lteXlVfXbiGN1yg+Usd1xm+v1i2vUyrnvSuN9Or6q/mENbZva5P+Y37bjcfTzHTqmqD1TVjWbdljF9lvtr2vvYTK/LZcp9yngtnj7D95cVv7fU7L5fLneOvW7ievxcVZ2ykTKWKfM3xjadVlX/XFVXnFG+047/TNszZZ/N7LNyzG/adVlV9SdV9V/je/OT59CWZ9fwvfKUqnpnVV1vTm15/8Rx+Z+qOnoObfnL8f3lo1X15qo6YINlTDvHZr3PppUz0/bsUbrbYw94JDkoya3G51dL8l9JbprknUnuO6bfL8l7Z1jmnZPcKslpc2jPsnknOTTD5NqfT3LtOe2zk5LcZUz/5STP3kAZleSq4/P9kpyQ5Pbjsajx8c9JnjDj/fe5je6f3d1/8zj2SZ6Z5LdmXP9px2b/iW3+OsnT5lDG65M8dEz/h40e/xXO5ZnvtyXl/n9JXpPkX+eU/7L7b47H/seTHDar62eF43KTJD+c5L1JdsxrHyXZkeSVSb42x3NgnyRfSHL9GeW33PX/F7uuwyRPS/Lnc9hnd0xyZpIbj+nPSvKYGe+ro5L8yvj88kkOmEGe087llyf5uRnWfbnjMtPvFytcLz+V5N+TXGFcd505tGVmn/urHJf/SnKTMf3Xkrx8Dm2Z9f6adlxmel0uKfPmSU5LcuUM84X+e5IbzSDfqd9bMtvvlyt+P07yV0n+cIb76+Akn01ypXH59UkeNaO8V/2uN4v2TDmXZ/ZZOeY37bp8dJJXJLncuG4e7zGT3y2fnOQf5tGWJdu8Kckj59CWeyXZd3z+5xu99ld4j5n1PptWzkzbsyc99OjZQ3T3Od39ofH5RUk+nuGNv5Ps+s/U1ZP8zwzLfF+S82eV3xrzfm6S38nQro2WMW2f3TjJ+8bNjkvysxsoo7t713/T9xsf3d1vH9d1khOTHLK7ZWyVFfbfRvOd23m1pJxpx+bCZPgPT5IrZQPn2rQyktwtyRvH9KOSPGh3yxjLmcuxWElVHZLkp5O8eF5lrLD/5pJvd3+4uz+30fwnyln2uHT3x7v7kzMqY9m2VNU+Sf4yw/vlPN09yae7+/OzyGzK9X9Ehuskmc31stw++26Sb3X3f43pG3rvX6qqrp7hC/NLxjp8q7sv2Gi+87pGlilnueMy0+8XK7yPPSHJc7r74nHduRssZ7m2zOxzfyxj2nGZ9T5bri2z3l/TjstMr8slbpLkhO7+Rnd/J8nxSR680UxX+ayc5ffLqd9jxu8WP5/hn3yztG+SK9XQE/HKmdH3/dW+X8yqPcvts1l+Vo75Tbsun5DkWd19ybjdzN9jdn23HF0lGzzPVnvvr6FX4t2SHL3BcpZryzvH6zJJPpgN/oZZ4bvSrPfZtHJm2p49iUDPHqiqDsvwn+kTkjw1yV9W1ZlJ/m+Sp29dzTamqo5IcnZ3f2QOeR+W7++z0zN8gUmSh2T4L89G8t5n7NJ6bpLjuvuEiXX7JXlEkn/bSBnL6CTvrKqTq+pxM877Mpbsv3n59bFb5Utn1UV82rGpqpdl6KXwI0meP8syknw6yQUTHypnZYZBmWWOxcz32+hvMnwpvmSGeV7GStfPdsx3hfIOy5yukSlt+fUkx3T3ObMub4mHZvY/WJa67kQ7vpDkuhvNcJnr8sQk+04MD/i5bPC9f4kbJDkvyctqGO744qq6yiwyXuFc/pPx2n9uVV1hFmUt8dTM6fvFkuvlxkl+sobhrsdX1W1mVc6EmX7uJ1OPy68keXtVnZXhs/85Gy1nGXPbX0uOy8yvywmnZWjDtarqyhl6jM3yerxUW+b5/XIZP5nki939qVll2N1nZ7gG/zvJOUm+2t3vnFX+u0z5HJt5e+ZpynV5wyS/UMMQ1HdU1eFzKvtPxvfLhyf5wxnkt9L3mAcledeSYMk8/HKSd8wqs6Xn2Kz32bRyJsy0PdudQM8epob5RN6U5Knjxf2EJL/R3Ycm+Y2M/03c04wf9L+XGV7kE3kv3We/nOTXqurkDF37vrWR/Lv7u919ywwR4ttW1c0nVr8wyfu6+/0bKWMZd+ruWyW5b5InVtWdZ5z/9yyz/+bh7zN8EN8yw5eYv5pFptOOTXc/Osn1MkT7f2GWZWQIHs3FMsdiLvutqu6f5NzuPnkW+a1kletn2+W7nHlfI8u05c4ZfqxuKEi5mhrmlnpgkjfMs5xJ3b2rV8RG81l6Xd4sQ9DquVV1YpKLMvTymZV9M3R///vu/vEkX88w3GXDppzLT8/wXnObJNdM8ruzKGuJuXy/WOZ62TdDG26f5LeTvH7sRTBLM/3cT6Yel99Icr/uPiTJyzIMD561ueyvld7HZnVdTuT38QxDKN6Z4R9hp2SG1+NkW5J8J3P6fjnFwzLj4Pj4T5wjMgSUr5fkKlX1SzMuY9rxn3l75mnKdXmFJN/s7h1J/inJS+dU9u+P75evzvDPmI3mt9L3mLkfl6r6/QzXz6tnlN9lzrFZ77Np5YzpM23PnkCgZw8y9g55U5JXd/e/jMlHJtn1/A0ZvtDuiW6Y4QPsI1X1uQxvah+qqh/YSKbL7bPu/kR336u7b53hTfLTG6r5qIdu+u9Jcp+x7GckOTDDPCczNf53Z1f30zdnTsd9yjk3c939xfED7ZIMH8Izbc/SYzOmfTfJazOj4RsTZdwhyQH1/YleD0ly9kbzn3Iuz2u//USSB47X4muT3K2qXjWjvJe13DHazvnuslnXSHKptvxUkhslOWM8RleuqjPmUOR9k3you784h7wnfbGqDkqS8e+GutVPmjz+3f2f3f2T3X3bDMN4/mvFF6/PWUnOmviP6xszBH5mZklbzhm79l+cIaAwj8+AmX+/mHK9nJXkX8b2nJihF+GGJ0ufNK/P/THvCzIcl/smucXEOfC6DHNDzdrM99eU4zK36zJJuvsl3X3r7r5zkq9kRtfjMm2Zy/fLKWXvm2EI2utmnPU9kny2u8/r7m9nuC5ndm5N+xybY3vmbsln/1n5/nvZm5P82JyLf3VmODR4md8X187wfvy2WZWxVFU9Ksn9kzx8DPRuNL/VvivNZJ+tcC4/KjNsz55CoGcPMf635iVJPt7dk/8h+p8kdxmf3y3JHtG1cqnuPrW7r9Pdh3X3YRnelG/V3V/Y3Tyn7bOqus7493JJ/iDDZLm7W8aBNc7eXlVXSnLPJJ+oql9Jcu8kDxt/hM9MVV2lqq6263mGScbmcWe0aefczO36Mjn6mcygPVOOzSdrvAvK2L4HJvnEjMv4eIYP5J8bNzsyyVt2t4yJui53Ls98vyVJdz+9uw8Zr8WHJnl3d8/0v4fJ9Otnu+a7TDlzv0amtOXk7v6BiffLb3T3hu7uM8Vm/Sf3mAzXSTKb62Xa+/Ku9/4rZOgBs9vv/UuNn1VnVtUPj0l3T/Kxjea7Qlt2/QCvDF34Z/4ZkBl/v1jhejk6Q/AyVXXjDBNZf2kjZS1T9sw+98d8pr33X31sQybSZu3ozHB/rXBcZnpdLlPurmPygxmCCa+ZQZ6Xacs8vl+u4B5JPtHdZ8043/9OcvuquvLYxrtnRufWKp9j82rPXKzw2X90xmsmw3vaLIP8u8qeHA52RDb4nWOV7zE/l+EmGd/cSBkrlH2fDEP3H9jd35hBftO+w856n00rZ6bt2aP0NpgR2mP1R5I7Zeg2+9EMXVxPyTCm+U5JTk7ykQzjEG89wzL/OcNwkG9n+GCc2R1KVss7M7grzgr77CkZ3uT/K8P4+dpAGT+W5MNjGadlvCtBhq6Bn54od5Z3X/ih8Xh/JMO8A7+/mefcPI59hjsHnTqWdUySg2ZQzmWOTYbg9v8byzotw38Q9p9lGRPH6MQkZ2T4T/gV5nQuz3y/LVP2XTO/u24tu//mlW+GuzqcNV6f/5PkxXM6Lj8zlnNxki8mOXae+yhzuOtWhokRv5zk6jPOd7nr/1pJ3pUhkPDvSa45p+P/lxl+HH0yQ5fuWe+zWybZOZZ7dJJrzPFcfvfE+9irMt6dZcbHZabfL1a4Xi4/tuG0JB9Kcrc5tGVmn/urHJefGY/LRzLcSeiH5tCWWe+vacdlptflMuW+P0Mw9CNJ7j6jPFf93pLZfL9c9jtshrvhPX6W+2mizD/K8EP4tAyf/Rv6XrGWfTbL9kw5l2f2WTmWMe26PCBD75dTk/xnhp53s27Lm8YyP5rkrRkmAZ55W8Z1783Qs3Nex+WMDHep3HU+bPRuWNPeY2a9z6aVM9P27EmPGncMAAAAAHs4Q7cAAAAAFoRADwAAAMCCEOgBAAAAWBACPQAAAAALQqAHAAAAYEEI9AAALKOq/mP8e1hV/eIM8318VT1ymfTDquq0WZUDAOyd9t3qCgAAbEfdfcfx6WFJfjHJa2aU7z/MIh8AgOXo0QMAsIyq+tr49DlJfrKqTqmq36iqfarqL6vqpKr6aFX96rj9Xavq+Kp6S1V9pqqeU1UPr6oTq+rUqrrhuN0zq+q3xue3rqqPVNVHkjxxSxoKACwUgR4AgJU9Lcn7u/uW3f3cJI9J8tXuvk2S2yR5bFXdYNz2Fkken+QmSR6R5MbdfdskL07ypGXyflmSJ3X3LebdCABg7yDQAwCwPvdK8siqOiXJCUmuleTwcd1J3X1Od1+c5NNJ3jmmn5phCNj3VNUBSQ7o7veNSa+cb7UBgL2BOXoAANanMvTCOfZSiVV3TXLxRNIlE8uXxPcuAGAT6NEDALCyi5JcbWL52CRPqKr9kqSqblxVV1lvpt19QZILqupOY9LDN1pRAAD/WQIAWNlHk3x3nDD55Un+NsMwrA9VVSU5L8mDdjPvRyd5aVV1vj/MCwBgt1V3b3UdAAAAAJgBQ7cAAAAAFoRADwAAAMCCEOgBAAAAWBACPQAAAAALQqAHAAAAYEEI9AAAAAAsCIEeAAAAgAUh0AMAAACwIP5/RThHyQsvdr8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## expose should only be counted when users are in that session\n",
    "# s1: 0~2, s2: 3~5, s3: 6~9\n",
    "\n",
    "counter = defaultdict(lambda: [0, 0])\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_exposed_history = df_trainset.at[i, 'exposed_items']\n",
    "    num_bought = sum([int(l) for l in df_trainset.at[i, 'labels'].split(',')])\n",
    "    labels = df_trainset.at[i, 'labels'].split(',')\n",
    "    for idx, itemid in enumerate(user_exposed_history.split(',')):\n",
    "        if 0 <= idx <= 2:\n",
    "            counter[itemid][0] += 1\n",
    "            if labels[idx] == '1':\n",
    "                counter[itemid][1] += 1\n",
    "        elif 3 <= idx <= 5 and num_bought >= 3: \n",
    "            counter[itemid][0] += 1\n",
    "            if labels[idx] == '1':\n",
    "                counter[itemid][1] += 1\n",
    "        elif 6 <= idx <= 8 and num_bought >= 6:\n",
    "            counter[itemid][0] += 1\n",
    "            if labels[idx] == '1':\n",
    "                counter[itemid][1] += 1\n",
    "counter = dict(counter)\n",
    "counter_sorted = sorted(counter.items(), key=lambda x: x[1][0], reverse=True)\n",
    "\n",
    "counter_sorted_session1 = [s for s in counter_sorted if 1 <= int(s[0]) <= 39]\n",
    "counter_sorted_session2 = [s for s in counter_sorted if 40 <= int(s[0]) <= 147]\n",
    "counter_sorted_session3 = [s for s in counter_sorted if 148 <= int(s[0]) <= 381]\n",
    "\n",
    "nums_to_plot = counter_sorted_session1[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, click_cnt, color = 'b', width = 0.25)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.25)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session1)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "plt.show()\n",
    "\n",
    "nums_to_plot = counter_sorted_session2[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, click_cnt, color = 'b', width = 0.25)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.25)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session2)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "plt.show()\n",
    "\n",
    "nums_to_plot = counter_sorted_session3[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, click_cnt, color = 'b', width = 0.25)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.25)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session3)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5be4585",
   "metadata": {
    "papermill": {
     "duration": 0.448282,
     "end_time": "2021-07-14T09:30:27.183357",
     "exception": false,
     "start_time": "2021-07-14T09:30:26.735075",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Bought vs Expose (expose只算到对应session的) by session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "c83f0803",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:30:28.106177Z",
     "iopub.status.busy": "2021-07-14T09:30:28.105219Z",
     "iopub.status.idle": "2021-07-14T09:30:37.093487Z",
     "shell.execute_reply": "2021-07-14T09:30:37.094062Z"
    },
    "papermill": {
     "duration": 9.458918,
     "end_time": "2021-07-14T09:30:37.094249",
     "exception": false,
     "start_time": "2021-07-14T09:30:27.635331",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:08<00:00, 28962.74it/s]\n"
     ]
    }
   ],
   "source": [
    "## expose should only be counted when users are in that session\n",
    "# s1: 0~2, s2: 3~5, s3: 6~9\n",
    "\n",
    "counter = defaultdict(lambda: [0, 0, 0])\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_exposed_history = df_trainset.at[i, 'exposed_items']\n",
    "    num_bought = sum([int(l) for l in df_trainset.at[i, 'labels'].split(',')])\n",
    "    labels = df_trainset.at[i, 'labels'].split(',')\n",
    "    for idx, itemid in enumerate(user_exposed_history.split(',')):\n",
    "        if 0 <= idx <= 2:\n",
    "            counter[itemid][0] += 1\n",
    "            if labels[idx] == '1':\n",
    "                counter[itemid][1] += 1\n",
    "        elif 3 <= idx <= 5 and num_bought >= 3: \n",
    "            counter[itemid][0] += 1\n",
    "            if labels[idx] == '1':\n",
    "                counter[itemid][1] += 1\n",
    "        elif 6 <= idx <= 8 and num_bought >= 6:\n",
    "            counter[itemid][0] += 1\n",
    "            if labels[idx] == '1':\n",
    "                counter[itemid][1] += 1\n",
    "counter = dict(counter)\n",
    "for k, v in counter.items():\n",
    "    counter[k][2] = counter[k][1] / counter[k][0]\n",
    "counter_sorted = sorted(counter.items(), key=lambda x: x[1][2], reverse=True)\n",
    "\n",
    "counter_sorted_session1 = [s for s in counter_sorted if 1 <= int(s[0]) <= 39]\n",
    "counter_sorted_session2 = [s for s in counter_sorted if 40 <= int(s[0]) <= 147]\n",
    "counter_sorted_session3 = [s for s in counter_sorted if 148 <= int(s[0]) <= 381]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "b4a38fb0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:30:38.182499Z",
     "iopub.status.busy": "2021-07-14T09:30:38.161721Z",
     "iopub.status.idle": "2021-07-14T09:30:45.470653Z",
     "shell.execute_reply": "2021-07-14T09:30:45.470121Z",
     "shell.execute_reply.started": "2021-07-13T09:49:14.577037Z"
    },
    "papermill": {
     "duration": 7.878536,
     "end_time": "2021-07-14T09:30:45.470789",
     "exception": false,
     "start_time": "2021-07-14T09:30:37.592253",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nums_to_plot = counter_sorted_session1\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session1) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "# plt.yscale('log')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "nums_to_plot = counter_sorted_session2\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session2) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "# plt.yscale('log')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "nums_to_plot = counter_sorted_session3\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session3) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "# plt.yscale('log')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8063936c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:30:46.451509Z",
     "iopub.status.busy": "2021-07-14T09:30:46.450441Z",
     "iopub.status.idle": "2021-07-14T09:30:49.208184Z",
     "shell.execute_reply": "2021-07-14T09:30:49.207491Z",
     "shell.execute_reply.started": "2021-07-13T09:51:17.211701Z"
    },
    "papermill": {
     "duration": 3.25107,
     "end_time": "2021-07-14T09:30:49.208330",
     "exception": false,
     "start_time": "2021-07-14T09:30:45.957260",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nums_to_plot = counter_sorted_session1[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session1) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "# plt.yscale('log')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "nums_to_plot = counter_sorted_session2[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session2) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "# plt.yscale('log')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "nums_to_plot = counter_sorted_session3[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session3) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "# plt.yscale('log')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "470e74e0",
   "metadata": {
    "papermill": {
     "duration": 0.487712,
     "end_time": "2021-07-14T09:30:50.181228",
     "exception": false,
     "start_time": "2021-07-14T09:30:49.693516",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "180092c8",
   "metadata": {
    "papermill": {
     "duration": 0.4876,
     "end_time": "2021-07-14T09:30:51.157133",
     "exception": false,
     "start_time": "2021-07-14T09:30:50.669533",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## labels analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4f6768c0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:30:52.138734Z",
     "iopub.status.busy": "2021-07-14T09:30:52.137698Z",
     "iopub.status.idle": "2021-07-14T09:30:58.703272Z",
     "shell.execute_reply": "2021-07-14T09:30:58.702283Z",
     "shell.execute_reply.started": "2021-07-13T05:21:48.510515Z"
    },
    "papermill": {
     "duration": 7.062437,
     "end_time": "2021-07-14T09:30:58.703634",
     "exception": false,
     "start_time": "2021-07-14T09:30:51.641197",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:06<00:00, 42259.96it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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AjyUtlDQ9y4ZFxBM5vQoYltMjgOWldVdkWVflKzoofwVJ0yW1Smpdu3btzjwfMzMrGVjn7R8bESslvRqYJ+nh8sKICElR5xiIiMuAywBaWlrq3p6ZWX9R1yORiFiZf9cA11Oc01idXVHk3zVZfSUwqrT6yCzrqnxkB+VmZtYgdUsikvaWtG9tGpgIPADMAWpXWE0DbsjpOcDUvEprArAxu73mAhMlHZAn1CcCc3PZJkkT8qqsqaVtmZlZA9SzO2sYcH1edTsQuCoibpW0AJgt6SxgGXBa1r8ZmAy0Ac8AHwKIiHWSLgYWZL2LImJdTp8DzAAGA7fkw8zMGkTFhU39R0tLS7S2tjY7DDPbxRVfoGufr6Ivf9ZKWlj6mcY2/It1MzOrzEnEzMwqcxIxM7PKnETMzKwyJxEzM6vMScTMzCpzEjEzs8qcRMzMrDInETMzq8xJxMzMKnMSMTOzypxEzMysMicRMzOrzEnEzMwqcxIxM7PKnETMzKwyJxEzM6vMScTMzCpzEjEzs8qcRMzMrDInETMzq6zuSUTSAEn3Srop58dIultSm6QfSBqU5XvkfFsuH13axgVZ/oikE0rlk7KsTdL59X4uZma2rW4lEUlv605ZJz4BPFSa/wrw9Yg4FFgPnJXlZwHrs/zrWQ9J44DTgcOAScC3MzENAP4VOBEYB5yRdc3MrEG6eyTyzW6WbUPSSOA9wHdzXsA7gWuzykzglJyekvPk8uOz/hTgmoh4LiJ+DbQB4/PRFhGPRcTzwDVZ18zMGmRgVwslHQO8FRgq6a9Ki/YDBnRj+/8CfArYN+dfBWyIiC05vwIYkdMjgOUAEbFF0sasPwKYX9pmeZ3l7cqP7uR5TAemAxxyyCHdCNvMzLpje0cig4B9KJLNvqXHJuDUrlaUdBKwJiIW9kCcOyUiLouIlohoGTp0aLPDMTPbZXR5JBIRPwV+KmlGRCzbwW2/DXivpMnAnhRHL98AhkgamEcjI4GVWX8lMApYIWkgsD/wVKm8prxOZ+VmZtYA3T0nsoekyyT9WNLttUdXK0TEBRExMiJGU5wYvz0izgTuYOtRzDTghpyek/Pk8tsjIrL89Lx6awwwFvglsAAYm1d7Dco25nTz+ZiZWQ/o8kik5D+Bf6M4Qf7iTrb5t8A1kr4A3AtcnuWXA1dKagPWUSQFImKJpNnAg8AW4GMR8SKApI8DcynOz1wREUt2MjYzs13G8OGjWb266EQaNuy1rFr1eI+3oeLL/nYqSQsj4qgeb70JWlpaorW1tdlhmNkurri4tPb5KrrzWdtbY8gc0NLRsu52Z90o6RxJB0s6sPaoFI2Zme0yutudVTtX8TelsgB+p2fDMTOzvqRbSSQixtQ7EDMz63u6lUQkTe2oPCJm9Ww4ZmbWl3S3O+v3S9N7AscD9wBOImZm/Vh3u7POLc9LGkIxVpWZmfVjVYeC/w3g8yRmZv1cd8+J3MjWi40HAG8CZtcrKDMz6xu6e07kq6XpLcCyiFhRh3jMzKwP6VZ3Vg7E+DDFCL4HAM/XMygzM+sbuntnw9MoBj38U+A04G5JXQ4Fb2Zmu77udmf9HfD7EbEGQNJQ4CdsvUOhmZn1Q929Omu3WgJJT+3AumZmtovq7pHIrZLmAlfn/PuAm+sTkpmZ9RXbu8f6ocCwiPgbSX8MHJuLfgF8v97BmZlZ77a9I5F/AS4AiIjrgOsAJP1eLju5jrGZmVkvt73zGsMiYnH7wiwbXZeIzMx2wvDho5GEJIYPH93scHZ52zsSGdLFssE9GIeZWY8obgcbOa3mBtMPbO9IpFXS2e0LJX0YWFifkMzMrK/Y3pHIecD1ks5ka9JoAQYBf1THuMzMrA/o8kgkIlZHxFuBzwOP5+PzEXFMRKzqal1Je0r6paT7JC2R9PksHyPpbkltkn4gaVCW75Hzbbl8dGlbF2T5I5JOKJVPyrI2SedX3AdmZlZRd8fOuiMivpmP27u57eeAd0bEW4DDgUmSJgBfAb4eEYcC64Gzsv5ZwPos/3rWQ9I44HTgMGAS8G1JAyQNAP4VOBEYB5yRdevGJ+zMzLZVt1+dR2Fzzu6ejwDeydbhUmYCp+T0lJwnlx8vSVl+TUQ8FxG/BtqA8floi4jHIuJ5iptkTanX84HyCbvIaTOz/q2uQ5fkEcMiYA0wD/gVsCEitmSVFcCInB4BLAfI5RuBV5XL263TWbmZmTVIXZNIRLwYEYcDIymOHN5Yz/Y6I2m6pFZJrWvXrm1GCGZmu6SGDKIYERuAO4BjgCGSaleFjQRW5vRKYBRALt+fYqDHl8vbrdNZeUftXxYRLRHRMnTo0J54SmZmRh2TiKShkobk9GDg3cBDFMmkdi+SacANOT0n58nlt0dEZPnpefXWGGAsxb1NFgBj82qvQRQn3+fU6/mYmdkrdXcU3yoOBmbmVVS7AbMj4iZJDwLXSPoCcC9weda/HLhSUhuwjiIpEBFLJM0GHqS4Ne/HIuJFAEkfB+ZS3Pf9iohYUsfnY2Zm7aj4st9/tLS0RGtra6V1i4vFavtL9Ld9Z9YX9Jb/094QR0/FIGlhRLR0tMw3ljIzs8qcRMzMrDInkT7Gv5o3s96knifWrQ48zLWZ9SY+EjEzs8qcRMzMrDInETMzq8xJxMzMKnMSMTOzypxEzMysMicRMzOrzEnEzMwqcxIxM7PKnETMzKwyJxEzM6vMScTMzCpzEjEzs8qcRMzMrDInETMzq8xJxMzMKnMSMTOzyuqWRCSNknSHpAclLZH0iSw/UNI8SUvz7wFZLkmXSGqTdL+kI0vbmpb1l0qaVio/StLiXOcSSb7Vn5lZA9XzSGQL8NcRMQ6YAHxM0jjgfOC2iBgL3JbzACcCY/MxHbgUiqQDXAgcDYwHLqwlnqxzdmm9SXV8PmZm1k7dkkhEPBER9+T008BDwAhgCjAzq80ETsnpKcCsKMwHhkg6GDgBmBcR6yJiPTAPmJTL9ouI+RERwKzStszMrAEack5E0mjgCOBuYFhEPJGLVgHDcnoEsLy02oos66p8RQflHbU/XVKrpNa1a9fu3JMxM7OX1T2JSNoH+CFwXkRsKi/LI4iodwwRcVlEtEREy9ChQ+vdnJlZv1HXJCJpd4oE8v2IuC6LV2dXFPl3TZavBEaVVh+ZZV2Vj+yg3MzMGqSeV2cJuBx4KCK+Vlo0B6hdYTUNuKFUPjWv0poAbMxur7nAREkH5An1icDcXLZJ0oRsa2ppW2Zm1gAD67jttwEfABZLWpRlnwa+DMyWdBawDDgtl90MTAbagGeADwFExDpJFwMLst5FEbEup88BZgCDgVvyYWZmDaLitET/0dLSEq2trZXWLQ54avtLNGPf9YYYzHqz3vI/0hvi6KkYJC2MiJaOlvkX62ZmVpmTiNlOGj58NJKQxPDho5sdjllD1fOciFm/sHr1MmpdBqtXe+Qd6198JGJmZpU5iZiZWWVOImZmVpmTiJmZVeYkYmZmlTmJWCW+rLV38ethzeJLfK0SX9bau/j1sGbxkYiZmVXmJGJmZpU5iZiZWWVOImZmVpmTiJmZVeYkYmZmlTmJmJlZZU4iZmZWmZOImZlV5iRiZmaVOYmYmVlldUsikq6QtEbSA6WyAyXNk7Q0/x6Q5ZJ0iaQ2SfdLOrK0zrSsv1TStFL5UZIW5zqXSPKAQWZmDVbPI5EZwKR2ZecDt0XEWOC2nAc4ERibj+nApVAkHeBC4GhgPHBhLfFknbNL67Vvy8zM6qxuSSQi7gLWtSueAszM6ZnAKaXyWVGYDwyRdDBwAjAvItZFxHpgHjApl+0XEfMjIoBZpW2ZmVmDNPqcyLCIeCKnVwHDcnoEsLxUb0WWdVW+ooPyDkmaLqlVUuvatWt37hmYmdnLmnZiPY8gokFtXRYRLRHRMnTo0EY0aWbWLzQ6iazOrijy75osXwmMKtUbmWVdlY/soNzMzBqo0UlkDlC7wmoacEOpfGpepTUB2JjdXnOBiZIOyBPqE4G5uWyTpAl5VdbU0rbMzKxB6nZ7XElXA8cBB0laQXGV1ZeB2ZLOApYBp2X1m4HJQBvwDPAhgIhYJ+liYEHWuygiaifrz6G4AmwwcEs+zMysgVScmug/WlpaorW1tdK6xUFPbX+JZuy73hBDb4qjN+gN+6I3xNBb9JZ90Rvi6KkYJC2MiJaOlvkX62ZmVpmTiJmZVeYkYn3W8OGjkYQkhg8f3exwzPqlup1YN6u31auXUevvXb3aQ6eZNYOPRMzMrDInETMzq8xJxMzMKnMSMTOzypxEzMysMicRM+sxvuy6//ElvmbWY3zZdf/jIxEzM6vMScTMzCpzEjEzs8qcRMzMrDInETMzq8xJxMzMKnMSMTOzypxEzMysMicRMzOrzEnEzMwq6/NJRNIkSY9IapN0frPjMTPrT/p0EpE0APhX4ERgHHCGpHHNjcrMrP/o00kEGA+0RcRjEfE8cA0wpckxmZn1G319FN8RwPLS/Arg6PaVJE0HpufsZkmPVGzvINCTpe1W3MzO0kHAk82Nwfui98UhgIOAJ5u8L3pBHC+3e5C09X3apDh2hX3x2s4W9PUk0i0RcRlw2c5uR1JrRLT0QEh9Po7eEIPjcBx9IY7eEEM94+jr3VkrgVGl+ZFZZmZmDdDXk8gCYKykMZIGAacDc5ock5lZv9Gnu7MiYoukjwNzgQHAFRGxpI5N7nSXWA/pDXH0hhjAcbTnOLbVG+LoDTFAneJQRNRju2Zm1g/09e4sMzNrIicRMzOrzEmkG3rL0CqSrpC0RtIDTYxhlKQ7JD0oaYmkTzQpjj0l/VLSfRnH55sRR8YyQNK9km5qVgwZx+OSFktaJKm1STEMkXStpIclPSTpmCbE8IbcB7XHJknnNTqOjOUv8/35gKSrJe3ZpDg+kTEs6el94XMi25FDqzwKvJvix4wLgDMi4sEmxPIOYDMwKyJ+t9HtZwwHAwdHxD2S9gUWAqc0en+o+OXW3hGxWdLuwM+AT0TE/EbGkbH8FdAC7BcRJzW6/VIcjwMtEdG0H9dJmgn8d0R8N6+Y3CsiNjQxngEUl/0fHRHLGtz2CIr35biIeFbSbODmiJjR4Dh+l2I0j/HA88CtwEcjoq0ntu8jke3rNUOrRMRdwLpmtF2K4YmIuCennwYeohg5oNFxRERsztnd89Hwb0SSRgLvAb7b6LZ7G0n7A+8ALgeIiOebmUDS8cCvGp1ASgYCgyUNBPYC/q8JMbwJuDsinomILcBPgT/uqY07iWxfR0OrNPxDszeSNBo4Ari7Se0PkLQIWAPMi4hmxPEvwKeAl5rQdnsB/FjSwhzqp9HGAGuB/8juve9K2rsJcZSdDlzdjIYjYiXwVeB/gSeAjRHx4yaE8gDwdkmvkrQXMJltf6S9U5xErBJJ+wA/BM6LiE3NiCEiXoyIwylGKhifh+0NI+kkYE1ELGxku104NiKOpBjV+mPZ/dlIA4EjgUsj4gjgN0AzzyEOAt4L/GeT2j+AotdiDPAaYG9J7290HBHxEPAV4McUXVmLgBd7avtOItvnoVXayXMQPwS+HxHXNTue7DK5A5jU4KbfBrw3z0VcA7xT0vcaHMPL8psvEbEGuJ6iK7aRVgArSkeE11IklWY5EbgnIlY3qf13Ab+OiLUR8QJwHfDWZgQSEZdHxFER8Q5gPcV53h7hJLJ9HlqlJE9oXw48FBFfa2IcQyUNyenBFBc+PNzIGCLigogYGRGjKd4Xt0dEw79pAkjaOy90ILuQJlJ0YzRMRKwClkt6QxYdDzT8ApSSM2hSV1b6X2CCpL3y/+Z4inOIDSfp1fn3EIrzIVf11Lb79LAnjdCEoVU6Jelq4DiKIZ1XABdGxOUNDuNtwAeAxXk+AuDTEXFzg+M4GJiZV9/sBsyOiKZeYttkw4Drc7jxgcBVEXFrE+I4F/h+fuF6DPhQE2KoJdJ3Ax9pRvsAEXG3pGuBe4AtwL00bwiUH0p6FfAC8LGevODBl/iamVll7s4yM7PKnETMzKwyJxEzM6vMScTMzCpzEjEzs8qcRKxPkPQlSX8o6RRJF+zgukMl3Z1Dcby93bLvShqX05/uyZh7K0l3SmppRhuSDpc0uZ5tW2M5iVhfcTQwH/gD4K4dXPd4YHFEHBER/11eEBEfLo1A3KeTSA7y19sdTjF2k+0inESsV5P0T5LuB34f+AXwYeBSSZ/toO5oSbdLul/SbZIOkXQ48I/AlLy3xOB269wpqUXSlylGW10k6fu57P0q7lmySNK/5w8bkbQ541oi6SeSxud2HpP03qxzWGnd+yWN7SDezaXpUyXNyOk/zXs/3CfpriwbkG0uyO19JMuPk/TfkuYAD+Yv1/8r131A0vs62bUfyNgekDQ+t3WgpB/l9udLenOWf07SJ0uxPqBi8E0k/b2Ke+38TMX9Mj5ZauNPcx88Kunt+QPEi4D3ZdudxWZ9SUT44UevflAkkG9SDPf+8y7q3QhMy+k/B36U0x8EvtXJOndS3IMDYHOp/E25vd1z/tvA1JwO4MScvp5iYLvdgbcAi7L8m8CZOT0IGNxB2+X2TgVm5PRiYEROD8m/04HP5PQeQCvFwH7HUQx0OCaX/QnwndJ29+/kOX8np98BPFCK+cKcfmfpuXwO+GRp/QeA0fm6LAL2BPYFltbqZRv/nNOTgZ9s77Xwo28++sLhr9mRwH3AG+l67KFj2HqfhCspjkCqOh44CliQQ4kMphhyHrbe2AeKD/znIuIFSYspPlyhOGr6OxX3G7kuIpbuQNs/B2aouIlRbYDLicCbJZ2a8/sDYzOWX0bEr0vx/LOkrwA3Rbvuu5KrobhHjaT9chyyYymSEBFxu4qhw/frIs63ATdExG+B30q6sd3yWuwL2bpfbBfjJGK9VnZFzaAYOflJipv6KMfsOiYinq1n88DMiOjoJP4LkV+rKe4j8hxARLxUOy8REVdJupvihlU3S/pIRNzebjvlMYdevm1qRHxU0tG57kJJR2U850bE3G2ClI6jOBKprfuopCMpvv1/QdJtEXFRB8+h/XhHXY1/tIVtu767e4vX5/Lvi/izZpflcyLWa0XEoijuF/IoMA64HTghIg7vJIH8D8VougBnAp19C+/MCyqGuQe4DThVW0c/PVDSa7u7IUm/AzwWEZcANwBv7qDaaklvkrQb8EeldV8XEXdHxGcpbvI0imIA0L+oxSfp9erghk+SXgM8ExHfA/6Jzodif1/WP5biZkkbKfbXmVl+HPBkFPeKeby2nUxQY3IbPwdOVnG/+32A7twa+GmKri/bRfjbgfVqkoYC6/Nb/huj63u5n0txV72/ofjw3dERZC8D7pd0T0ScKekzFHcK3I0c/RTo7m1WT6M4ef0CsAr4Ygd1zgduylhbgX2y/J/yRLwoktl9wP0UXUL3qOhfWwuc0sE2fy/Xfylj/otO4vutpHspzuX8eZZ9DrhCxYUMzwDTsvyHwFRJSyjuYvkoQEQsyBP69wOrKbrSNna6Rwp3AOfn0eSXIuIH26lvvZxH8TWzyiTtExGbVdx29S5gekTc0+y4rHF8JGJmO+MyFT/W3JPiHJITSD/jIxEzM6vMJ9bNzKwyJxEzM6vMScTMzCpzEjEzs8qcRMzMrLL/D3Jh/T/OY7TmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 30912 users have bout 0 items\n",
      "There are 27620 users have bout 1 items\n",
      "There are 15330 users have bout 2 items\n",
      "There are 7317 users have bout 3 items\n",
      "There are 17895 users have bout 4 items\n",
      "There are 15486 users have bout 5 items\n",
      "There are 4810 users have bout 6 items\n",
      "There are 32512 users have bout 7 items\n",
      "There are 69645 users have bout 8 items\n",
      "There are 38560 users have bout 9 items\n"
     ]
    }
   ],
   "source": [
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    labels = df_trainset.at[i, 'labels'].split(',')\n",
    "    df_trainset.at[i, 'cnt_labels'] = sum([int(l) for l in labels])\n",
    "\n",
    "arr = np.array(df_trainset['cnt_labels'])\n",
    "plt.hist(arr, color='blue', edgecolor='black', bins=100)\n",
    "plt.title('Histogram of # of items users bought')\n",
    "plt.xticks(range(10), range(10))\n",
    "plt.xlabel('# of items users bought')\n",
    "plt.ylabel('Count')\n",
    "plt.show()\n",
    "\n",
    "arr = np.array(df_trainset['cnt_labels'])\n",
    "for i in range(10):\n",
    "    print('There are', len(arr[arr == i]), 'users have bout', i, 'items')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07829cde",
   "metadata": {
    "papermill": {
     "duration": 0.503441,
     "end_time": "2021-07-14T09:30:59.745199",
     "exception": false,
     "start_time": "2021-07-14T09:30:59.241758",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "Bought vs Expose (expose算所有session的) by session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ee3c88f7",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:31:00.779841Z",
     "iopub.status.busy": "2021-07-14T09:31:00.774421Z",
     "iopub.status.idle": "2021-07-14T09:31:11.547071Z",
     "shell.execute_reply": "2021-07-14T09:31:11.547604Z",
     "shell.execute_reply.started": "2021-07-13T09:06:28.761374Z"
    },
    "papermill": {
     "duration": 11.293112,
     "end_time": "2021-07-14T09:31:11.547804",
     "exception": false,
     "start_time": "2021-07-14T09:31:00.254692",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:08<00:00, 31891.53it/s]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## expose should only be counted when users are in that session\n",
    "# s1: 0~2, s2: 3~5, s3: 6~9\n",
    "\n",
    "counter = defaultdict(lambda: [0, 0])\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_exposed_history = df_trainset.at[i, 'exposed_items']\n",
    "    num_bought = sum([int(l) for l in df_trainset.at[i, 'labels'].split(',')])\n",
    "    labels = df_trainset.at[i, 'labels'].split(',')\n",
    "    for idx, itemid in enumerate(user_exposed_history.split(',')):\n",
    "        counter[itemid][0] += 1\n",
    "        if labels[idx] == '1':\n",
    "            counter[itemid][1] += 1\n",
    "counter = dict(counter)\n",
    "counter_sorted = sorted(counter.items(), key=lambda x: x[1][0], reverse=True)\n",
    "\n",
    "counter_sorted_session1 = [s for s in counter_sorted if 1 <= int(s[0]) <= 39]\n",
    "counter_sorted_session2 = [s for s in counter_sorted if 40 <= int(s[0]) <= 147]\n",
    "counter_sorted_session3 = [s for s in counter_sorted if 148 <= int(s[0]) <= 381]\n",
    "\n",
    "nums_to_plot = counter_sorted_session1[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, click_cnt, color = 'b', width = 0.25)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.25)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session1)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "plt.show()\n",
    "\n",
    "nums_to_plot = counter_sorted_session2[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, click_cnt, color = 'b', width = 0.25)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.25)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session2)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "plt.show()\n",
    "\n",
    "nums_to_plot = counter_sorted_session3[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "click_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "plt.bar(itemids, click_cnt, width=0.2)\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, click_cnt, color = 'b', width = 0.25)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.25)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session3)')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8f796d0",
   "metadata": {
    "papermill": {
     "duration": 0.538836,
     "end_time": "2021-07-14T09:31:12.626321",
     "exception": false,
     "start_time": "2021-07-14T09:31:12.087485",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "9197c880",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:31:13.720049Z",
     "iopub.status.busy": "2021-07-14T09:31:13.719339Z",
     "iopub.status.idle": "2021-07-14T09:31:21.904554Z",
     "shell.execute_reply": "2021-07-14T09:31:21.903426Z",
     "shell.execute_reply.started": "2021-07-13T09:55:07.455254Z"
    },
    "papermill": {
     "duration": 8.735188,
     "end_time": "2021-07-14T09:31:21.904875",
     "exception": false,
     "start_time": "2021-07-14T09:31:13.169687",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:08<00:00, 31845.25it/s]\n"
     ]
    }
   ],
   "source": [
    "## expose should only be counted when users are in that session\n",
    "# s1: 0~2, s2: 3~5, s3: 6~9\n",
    "\n",
    "counter = defaultdict(lambda: [0, 0, 0])\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_exposed_history = df_trainset.at[i, 'exposed_items']\n",
    "    num_bought = sum([int(l) for l in df_trainset.at[i, 'labels'].split(',')])\n",
    "    labels = df_trainset.at[i, 'labels'].split(',')\n",
    "    for idx, itemid in enumerate(user_exposed_history.split(',')):\n",
    "        counter[itemid][0] += 1\n",
    "        if labels[idx] == '1':\n",
    "            counter[itemid][1] += 1\n",
    "counter = dict(counter)\n",
    "for k, v in counter.items():\n",
    "    counter[k][2] = counter[k][1] / counter[k][0]\n",
    "counter_sorted = sorted(counter.items(), key=lambda x: x[1][2], reverse=True)\n",
    "\n",
    "counter_sorted_session1 = [s for s in counter_sorted if 1 <= int(s[0]) <= 39]\n",
    "counter_sorted_session2 = [s for s in counter_sorted if 40 <= int(s[0]) <= 147]\n",
    "counter_sorted_session3 = [s for s in counter_sorted if 148 <= int(s[0]) <= 381]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "dbe9ec5f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:31:23.073854Z",
     "iopub.status.busy": "2021-07-14T09:31:23.050461Z",
     "iopub.status.idle": "2021-07-14T09:31:30.373263Z",
     "shell.execute_reply": "2021-07-14T09:31:30.372723Z",
     "shell.execute_reply.started": "2021-07-13T09:55:24.358828Z"
    },
    "papermill": {
     "duration": 7.897307,
     "end_time": "2021-07-14T09:31:30.373526",
     "exception": false,
     "start_time": "2021-07-14T09:31:22.476219",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nums_to_plot = counter_sorted_session1\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session1) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "# plt.yscale('log')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "nums_to_plot = counter_sorted_session2\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session2) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "# plt.yscale('log')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "nums_to_plot = counter_sorted_session3\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session3) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "# plt.yscale('log')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "8173ee69",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:31:31.546791Z",
     "iopub.status.busy": "2021-07-14T09:31:31.545707Z",
     "iopub.status.idle": "2021-07-14T09:31:34.022754Z",
     "shell.execute_reply": "2021-07-14T09:31:34.022100Z",
     "shell.execute_reply.started": "2021-07-13T09:56:25.599140Z"
    },
    "papermill": {
     "duration": 3.053161,
     "end_time": "2021-07-14T09:31:34.022896",
     "exception": false,
     "start_time": "2021-07-14T09:31:30.969735",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "nums_to_plot = counter_sorted_session1[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session1) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "# plt.yscale('log')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "nums_to_plot = counter_sorted_session2[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session2) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "# plt.yscale('log')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "nums_to_plot = counter_sorted_session3[:40]\n",
    "itemids = [n[0] for n in nums_to_plot]\n",
    "expose_cnt = [n[1][0] for n in nums_to_plot]\n",
    "bought_cnt = [n[1][1] for n in nums_to_plot]\n",
    "bought_expose_ratio = [n[1][2] for n in nums_to_plot]\n",
    "X = np.arange(len(itemids))\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X + 0.00, expose_cnt, color = 'b', width = 0.2)\n",
    "ax.bar(X + 0.20, bought_cnt, color = 'r', width = 0.2)\n",
    "plt.xticks(X, itemids)\n",
    "plt.title('How many times is item exposed, bought? (Session3) sorted by ratio')\n",
    "plt.xlabel('itemid')\n",
    "plt.ylabel('item exposed, bought times')\n",
    "ax2 = ax.twinx()\n",
    "ax2.bar(X + 0.40, bought_expose_ratio, color = 'g', width = 0.2)\n",
    "ax2.set_ylim([0, 1])\n",
    "ax2.set_ylabel('ratio: bought/exposed', color='b')\n",
    "# plt.yscale('log')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad74dada",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-13T11:45:30.087695Z",
     "iopub.status.busy": "2021-07-13T11:45:30.086863Z",
     "iopub.status.idle": "2021-07-13T11:45:30.092725Z",
     "shell.execute_reply": "2021-07-13T11:45:30.091964Z",
     "shell.execute_reply.started": "2021-07-13T11:45:30.087381Z"
    },
    "papermill": {
     "duration": 0.627362,
     "end_time": "2021-07-14T09:31:35.223158",
     "exception": false,
     "start_time": "2021-07-14T09:31:34.595796",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## User portrait"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51144d57",
   "metadata": {
    "papermill": {
     "duration": 0.574644,
     "end_time": "2021-07-14T09:31:36.370556",
     "exception": false,
     "start_time": "2021-07-14T09:31:35.795912",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "how many unique portrait?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "ed0b84ab",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:31:37.521195Z",
     "iopub.status.busy": "2021-07-14T09:31:37.520482Z",
     "iopub.status.idle": "2021-07-14T09:32:00.087652Z",
     "shell.execute_reply": "2021-07-14T09:32:00.088375Z",
     "shell.execute_reply.started": "2021-07-13T12:31:24.959073Z"
    },
    "papermill": {
     "duration": 23.143666,
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     "exception": false,
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     "status": "completed"
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   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:02<00:00, 116814.92it/s]\n",
      "100%|██████████| 260087/260087 [00:02<00:00, 111366.27it/s]\n",
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      "100%|██████████| 260087/260087 [00:02<00:00, 115313.20it/s]"
     ]
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    {
     "name": "stdout",
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     "text": [
      "{0: 3, 1: 1363, 2: 20, 3: 10, 4: 195, 5: 49, 6: 3, 7: 11, 8: 2, 9: 2164}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# trainset\n",
    "portrait_idx_uniquevalue = {}\n",
    "for portrait_idx in range(10):\n",
    "    portrait_cnt = defaultdict(lambda: 0)\n",
    "    counter = defaultdict(lambda: [0, 0, 0])\n",
    "    for i in tqdm(range(df_trainset.shape[0])):\n",
    "        user_portrait = df_trainset.at[i, 'user_protrait'].split(',')\n",
    "        p = user_portrait[portrait_idx]\n",
    "        portrait_cnt[p] += 1\n",
    "    # pprint(portrait_cnt)\n",
    "    portrait_idx_uniquevalue[portrait_idx] = len(portrait_cnt.keys())\n",
    "\n",
    "print(portrait_idx_uniquevalue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "b963b875",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206254/206254 [00:01<00:00, 115394.65it/s]\n",
      "100%|██████████| 206254/206254 [00:01<00:00, 109664.55it/s]\n",
      "100%|██████████| 206254/206254 [00:01<00:00, 118440.30it/s]\n",
      "100%|██████████| 206254/206254 [00:01<00:00, 119700.87it/s]\n",
      "100%|██████████| 206254/206254 [00:01<00:00, 118010.96it/s]\n",
      "100%|██████████| 206254/206254 [00:01<00:00, 113814.52it/s]\n",
      "100%|██████████| 206254/206254 [00:01<00:00, 117229.51it/s]\n",
      "100%|██████████| 206254/206254 [00:01<00:00, 117513.58it/s]\n",
      "100%|██████████| 206254/206254 [00:01<00:00, 119020.13it/s]\n",
      "100%|██████████| 206254/206254 [00:01<00:00, 116666.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{0: 3, 1: 1319, 2: 19, 3: 10, 4: 191, 5: 47, 6: 3, 7: 13, 8: 2, 9: 2054}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# testset track1\n",
    "df_testset_track1 = pd.read_csv('/kaggle/input/bigdata2021-rl-recsys/track1_testset.csv', sep=' ')\n",
    "\n",
    "portrait_idx_uniquevalue = {}\n",
    "for portrait_idx in range(10):\n",
    "    portrait_cnt = defaultdict(lambda: 0)\n",
    "    counter = defaultdict(lambda: [0, 0, 0])\n",
    "    for i in tqdm(range(df_testset_track1.shape[0])):\n",
    "        user_portrait = df_testset_track1.at[i, 'user_protrait'].split(',')\n",
    "        p = user_portrait[portrait_idx]\n",
    "        portrait_cnt[p] += 1\n",
    "    # pprint(portrait_cnt)\n",
    "    portrait_idx_uniquevalue[portrait_idx] = len(portrait_cnt.keys())\n",
    "\n",
    "print(portrait_idx_uniquevalue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9b444b7a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:32:23.736994Z",
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     "shell.execute_reply.started": "2021-07-13T12:41:08.685743Z"
    },
    "papermill": {
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     "end_time": "2021-07-14T09:32:44.205954",
     "exception": false,
     "start_time": "2021-07-14T09:32:23.004562",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206096/206096 [00:01<00:00, 117775.14it/s]\n",
      "100%|██████████| 206096/206096 [00:01<00:00, 116748.85it/s]\n",
      "100%|██████████| 206096/206096 [00:01<00:00, 118130.66it/s]\n",
      "100%|██████████| 206096/206096 [00:01<00:00, 117135.73it/s]\n",
      "100%|██████████| 206096/206096 [00:01<00:00, 115119.16it/s]\n",
      "100%|██████████| 206096/206096 [00:01<00:00, 115376.18it/s]\n",
      "100%|██████████| 206096/206096 [00:01<00:00, 115704.02it/s]\n",
      "100%|██████████| 206096/206096 [00:01<00:00, 116703.22it/s]\n",
      "100%|██████████| 206096/206096 [00:01<00:00, 114898.65it/s]\n",
      "100%|██████████| 206096/206096 [00:01<00:00, 116560.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{0: 3, 1: 1341, 2: 20, 3: 10, 4: 190, 5: 47, 6: 3, 7: 11, 8: 2, 9: 2060}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# testset track2\n",
    "df_testset_track2 = pd.read_csv('/kaggle/input/bigdata2021-rl-recsys/track2_testset.csv', sep=' ')\n",
    "\n",
    "portrait_idx_uniquevalue = {}\n",
    "for portrait_idx in range(10):\n",
    "    portrait_cnt = defaultdict(lambda: 0)\n",
    "    counter = defaultdict(lambda: [0, 0, 0])\n",
    "    for i in tqdm(range(df_testset_track2.shape[0])):\n",
    "        user_portrait = df_testset_track2.at[i, 'user_protrait'].split(',')\n",
    "        p = user_portrait[portrait_idx]\n",
    "        portrait_cnt[p] += 1\n",
    "    # pprint(portrait_cnt)\n",
    "    portrait_idx_uniquevalue[portrait_idx] = len(portrait_cnt.keys())\n",
    "\n",
    "print(portrait_idx_uniquevalue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a031d0e",
   "metadata": {
    "papermill": {
     "duration": 0.761218,
     "end_time": "2021-07-14T09:32:45.748535",
     "exception": false,
     "start_time": "2021-07-14T09:32:44.987317",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "808fe322",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:32:47.281640Z",
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     "shell.execute_reply.started": "2021-07-13T13:14:00.565380Z"
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     "exception": false,
     "start_time": "2021-07-14T09:32:46.505706",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:02<00:00, 117553.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defaultdict(<function <lambda> at 0x7f59547a8050>,\n",
      "            {'11606': 5335,\n",
      "             '16279': 1244,\n",
      "             '21927': 73113,\n",
      "             '37294': 82493,\n",
      "             '50138': 29042,\n",
      "             '55172': 3448,\n",
      "             '65505': 13456,\n",
      "             '6560': 5388,\n",
      "             '78349': 10419,\n",
      "             '83395': 4035,\n",
      "             '93716': 32114})\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "portrait_cnt = defaultdict(lambda: 0)\n",
    "counter = defaultdict(lambda: [0, 0, 0])\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    user_portrait = df_trainset.at[i, 'user_protrait'].split(',')\n",
    "    p = user_portrait[7]\n",
    "    portrait_cnt[p] += 1\n",
    "pprint(portrait_cnt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0a67c942",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:32:51.042866Z",
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     "iopub.status.idle": "2021-07-14T09:32:52.784548Z",
     "shell.execute_reply": "2021-07-14T09:32:52.783623Z",
     "shell.execute_reply.started": "2021-07-13T13:14:17.577507Z"
    },
    "papermill": {
     "duration": 2.507992,
     "end_time": "2021-07-14T09:32:52.784756",
     "exception": false,
     "start_time": "2021-07-14T09:32:50.276764",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206254/206254 [00:01<00:00, 119158.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defaultdict(<function <lambda> at 0x7f59547a8e60>,\n",
      "            {'11606': 4018,\n",
      "             '16279': 980,\n",
      "             '18954': 26,\n",
      "             '21927': 59085,\n",
      "             '37294': 65777,\n",
      "             '50138': 21561,\n",
      "             '55172': 2260,\n",
      "             '65505': 11547,\n",
      "             '6560': 3975,\n",
      "             '78349': 8749,\n",
      "             '83395': 2782,\n",
      "             '90068': 2,\n",
      "             '93716': 25492})\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "portrait_cnt = defaultdict(lambda: 0)\n",
    "counter = defaultdict(lambda: [0, 0, 0])\n",
    "for i in tqdm(range(df_testset_track1.shape[0])):\n",
    "    user_portrait = df_testset_track1.at[i, 'user_protrait'].split(',')\n",
    "    p = user_portrait[7]\n",
    "    portrait_cnt[p] += 1\n",
    "pprint(portrait_cnt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "bae647d5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:32:54.365637Z",
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     "iopub.status.idle": "2021-07-14T09:32:56.130062Z",
     "shell.execute_reply": "2021-07-14T09:32:56.130542Z",
     "shell.execute_reply.started": "2021-07-13T13:14:27.671291Z"
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     "exception": false,
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206096/206096 [00:01<00:00, 117449.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defaultdict(<function <lambda> at 0x7f59547a88c0>,\n",
      "            {'11606': 3905,\n",
      "             '16279': 1012,\n",
      "             '21927': 58216,\n",
      "             '37294': 66550,\n",
      "             '50138': 21055,\n",
      "             '55172': 2378,\n",
      "             '65505': 10915,\n",
      "             '6560': 4671,\n",
      "             '78349': 9391,\n",
      "             '83395': 3171,\n",
      "             '93716': 24832})\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "portrait_cnt = defaultdict(lambda: 0)\n",
    "counter = defaultdict(lambda: [0, 0, 0])\n",
    "for i in tqdm(range(df_testset_track2.shape[0])):\n",
    "    user_portrait = df_testset_track2.at[i, 'user_protrait'].split(',')\n",
    "    p = user_portrait[7]\n",
    "    portrait_cnt[p] += 1\n",
    "pprint(portrait_cnt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "54706c39",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:32:57.767730Z",
     "iopub.status.busy": "2021-07-14T09:32:57.766832Z",
     "iopub.status.idle": "2021-07-14T09:32:59.418481Z",
     "shell.execute_reply": "2021-07-14T09:32:59.417859Z",
     "shell.execute_reply.started": "2021-07-13T15:33:08.586636Z"
    },
    "papermill": {
     "duration": 2.510365,
     "end_time": "2021-07-14T09:32:59.418625",
     "exception": false,
     "start_time": "2021-07-14T09:32:56.908260",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "df_testset_track1 = pd.read_csv('/kaggle/input/bigdata2021-rl-recsys/track1_testset.csv', sep=' ')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "9a278945",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:33:00.997858Z",
     "iopub.status.busy": "2021-07-14T09:33:00.997152Z",
     "iopub.status.idle": "2021-07-14T09:33:13.454584Z",
     "shell.execute_reply": "2021-07-14T09:33:13.455211Z",
     "shell.execute_reply.started": "2021-07-13T15:33:12.089871Z"
    },
    "papermill": {
     "duration": 13.246758,
     "end_time": "2021-07-14T09:33:13.455413",
     "exception": false,
     "start_time": "2021-07-14T09:33:00.208655",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206254/206254 [00:01<00:00, 116453.72it/s]\n",
      "  6%|▌         | 11419/206254 [00:00<00:01, 114178.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 defaultdict(<function <lambda> at 0x7f59547a1a70>, {'64054': 182459, '92265': 23705, '90378': 90})\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206254/206254 [00:01<00:00, 117428.03it/s]\n",
      "  5%|▌         | 11138/206254 [00:00<00:01, 111367.36it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 defaultdict(<function <lambda> at 0x7f59444b5200>, {'66367': 2358, '6599': 114101, '93755': 16184, '63021': 6639, '52700': 7196, '34810': 10369, '38156': 6091, '94578': 1630, '80911': 8248, '50177': 6304, '65544': 9194, '21966': 7115, '78388': 8872, '81734': 34, '25312': 334, '22789': 1360, '53523': 86, '77828': 90, '9945': 49})\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206254/206254 [00:01<00:00, 115716.34it/s]\n",
      "  5%|▌         | 11273/206254 [00:00<00:01, 112722.58it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3 defaultdict(<function <lambda> at 0x7f59547a8950>, {'44932': 14578, '36504': 91103, '16721': 29210, '6400': 3570, '29565': 9468, '88510': 24719, '73143': 15904, '34611': 5017, '84616': 6271, '1354': 6414})\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206254/206254 [00:01<00:00, 115699.95it/s]\n",
      "  5%|▌         | 10888/206254 [00:00<00:01, 108870.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5 defaultdict(<function <lambda> at 0x7f59547a8f80>, {'20543': 27917, '37350': 23444, '38762': 429, '7615': 71850, '11973': 30729, '44119': 11051, '63681': 5983, '85441': 1484, '70783': 3277, '80092': 1196, '69075': 3087, '49967': 308, '93364': 16745, '52128': 310, '52399': 1263, '51959': 923, '88933': 1026, '43316': 252, '20358': 356, '18673': 76, '55646': 357, '40097': 884, '81740': 290, '59842': 457, '40240': 339, '65360': 431, '21179': 268, '44154': 31, '39206': 678, '29198': 31, '31936': 154, '77998': 89, '87390': 143, '20159': 74, '72388': 29, '16913': 19, '27638': 67, '36118': 12, '7028': 59, '86550': 22, '53679': 90, '18306': 2, '7086': 1, '14107': 4, '54002': 15, '66803': 1, '30618': 1})\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206254/206254 [00:01<00:00, 114869.36it/s]\n",
      "  6%|▌         | 11606/206254 [00:00<00:01, 116044.62it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6 defaultdict(<function <lambda> at 0x7f59547a8b00>, {'83978': 134314, '54240': 71850, '11354': 90})\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206254/206254 [00:01<00:00, 115573.32it/s]\n",
      "  5%|▌         | 10832/206254 [00:00<00:01, 108305.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7 defaultdict(<function <lambda> at 0x7f59547a8b90>, {'50138': 21561, '21927': 59085, '37294': 65777, '65505': 11547, '93716': 25492, '55172': 2260, '83395': 2782, '78349': 8749, '11606': 4018, '6560': 3975, '16279': 980, '18954': 26, '90068': 2})\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 206254/206254 [00:01<00:00, 116981.99it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8 defaultdict(<function <lambda> at 0x7f593e890a70>, {'74820': 201181, '3031': 5073})\n",
      "{0: 3, 2: 19, 3: 10, 5: 47, 6: 3, 7: 13, 8: 2}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "# trainset\n",
    "portrait_idx_uniquevalue = {}\n",
    "for portrait_idx in [0,2,3,5,6,7,8]:\n",
    "    portrait_cnt = defaultdict(lambda: 0)\n",
    "    counter = defaultdict(lambda: [0, 0, 0])\n",
    "    for i in tqdm(range(df_testset_track1.shape[0])):\n",
    "        user_portrait = df_testset_track1.at[i, 'user_protrait'].split(',')\n",
    "        p = user_portrait[portrait_idx]\n",
    "        portrait_cnt[p] += 1\n",
    "    print(portrait_idx, portrait_cnt)\n",
    "    portrait_idx_uniquevalue[portrait_idx] = len(portrait_cnt.keys())\n",
    "\n",
    "print(portrait_idx_uniquevalue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61592602",
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     "status": "completed"
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    "tags": []
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b1b9e175",
   "metadata": {
    "papermill": {
     "duration": 0.830489,
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "856dcd4c",
   "metadata": {
    "papermill": {
     "duration": 0.821792,
     "end_time": "2021-07-14T09:33:18.549803",
     "exception": false,
     "start_time": "2021-07-14T09:33:17.728011",
     "status": "completed"
    },
    "tags": []
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cd0ca7cf",
   "metadata": {
    "papermill": {
     "duration": 0.885735,
     "end_time": "2021-07-14T09:33:20.246272",
     "exception": false,
     "start_time": "2021-07-14T09:33:19.360537",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "72fad921",
   "metadata": {
    "papermill": {
     "duration": 0.838186,
     "end_time": "2021-07-14T09:33:21.952643",
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     "start_time": "2021-07-14T09:33:21.114457",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## item vec study"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "1d174092",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:33:23.627174Z",
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     "shell.execute_reply.started": "2021-07-13T15:14:23.453550Z"
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     "exception": false,
     "start_time": "2021-07-14T09:33:22.786033",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 381/381 [00:00<00:00, 97816.60it/s]\n",
      "100%|██████████| 381/381 [00:00<00:00, 87914.94it/s]\n",
      "100%|██████████| 381/381 [00:00<00:00, 105661.85it/s]\n",
      "100%|██████████| 381/381 [00:00<00:00, 92698.52it/s]\n",
      "100%|██████████| 381/381 [00:00<00:00, 95336.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 defaultdict(<function <lambda> at 0x7f593e890dd0>, {'2': 68, '3': 62, '4': 53, '1': 198})\n",
      "1 defaultdict(<function <lambda> at 0x7f59547bf320>, {'2': 11, '0': 203, '8': 11, '7': 32, '3': 11, '9': 8, '4': 8, '1': 89, '6': 6, '5': 2})\n",
      "2 defaultdict(<function <lambda> at 0x7f59547bf050>, {'1': 250, '2': 131})\n",
      "3 defaultdict(<function <lambda> at 0x7f59547bf200>, {'0.015764': 1, '0.012539': 1, '0.007518': 1, '0.007163': 1, '0.015435': 1, '0.007420': 1, '0.006577': 1, '0.005922': 1, '0.006482': 1, '0.008988': 1, '0.005072': 1, '0.003964': 1, '0.003703': 1, '0.020479': 1, '0.011079': 1, '0.006915': 1, '0.003611': 2, '0.007712': 1, '0.008415': 1, '0.006094': 1, '0.009465': 1, '0.003006': 1, '0.002788': 1, '0.005180': 1, '0.010060': 1, '0.006356': 1, '0.005330': 1, '0.025387': 1, '0.017173': 1, '0.006855': 1, '0.009008': 1, '0.014726': 1, '0.011241': 1, '0.007597': 1, '0.007587': 1, '0.004046': 1, '0.003558': 1, '0.004999': 1, '0.008100': 1, '0.003261': 1, '0.003934': 1, '0.001694': 1, '0.003671': 1, '0.002024': 1, '0.002616': 1, '0.003042': 1, '0.001919': 1, '0.001396': 1, '0.001290': 1, '0.001718': 1, '0.004175': 1, '0.003580': 1, '0.004346': 1, '0.003248': 1, '0.004162': 1, '0.007158': 1, '0.001967': 1, '0.003057': 1, '0.001351': 1, '0.001187': 1, '0.001823': 1, '0.000283': 1, '0.000173': 1, '0.000322': 1, '0.000267': 2, '0.000351': 1, '0.000132': 1, '0.000159': 1, '0.000192': 1, '7.556912': 1, '0.000117': 1, '0.007606': 1, '0.012543': 1, '0.005041': 1, '0.003320': 1, '0.005050': 1, '0.014142': 1, '0.004555': 1, '0.003546': 1, '0.004564': 1, '0.004641': 1, '0.002504': 1, '0.003155': 1, '0.008043': 1, '0.004025': 1, '0.012211': 1, '0.003048': 1, '0.002741': 1, '0.000472': 1, '0.000384': 1, '0.000465': 1, '0.000376': 1, '0.000821': 1, '0.000275': 1, '8.385067': 1, '9.316741': 1, '0.000138': 1, '0.000367': 1, '0.005746': 1, '0.005364': 1, '0.008328': 1, '0.004198': 1, '0.002818': 1, '0.003628': 1, '0.004946': 1, '0.005325': 1, '0.003495': 1, '0.002860': 1, '0.003028': 1, '0.003062': 1, '0.003356': 1, '0.003303': 1, '0.005074': 1, '0.003972': 1, '0.000325': 2, '0.000231': 2, '0.000228': 2, '0.000401': 1, '0.000331': 1, '0.000237': 1, '0.000189': 1, '0.000136': 1, '0.000183': 1, '0.009336': 1, '0.011133': 1, '0.011817': 1, '0.004463': 1, '0.008188': 1, '0.012727': 1, '0.005900': 1, '0.006460': 1, '0.004755': 1, '0.003286': 2, '0.003244': 1, '0.004109': 1, '0.004603': 1, '0.000355': 1, '0.000200': 1, '0.000199': 1, '0.001010': 1, '0.000194': 1, '0.000240': 2, '0.000545': 1, '0.000115': 1, '0.000239': 1, '0.008558': 1, '0.004843': 1, '0.004831': 1, '0.005039': 1, '0.002150': 1, '0.003003': 1, '0.004133': 1, '0.001984': 1, '0.000984': 1, '0.002295': 1, '0.007644': 1, '0.004658': 1, '0.003498': 1, '0.001682': 2, '0.002253': 1, '0.025647': 1, '0.002825': 1, '0.003389': 1, '0.002107': 1, '0.001404': 1, '0.001186': 1, '0.004389': 1, '0.003821': 1, '0.016632': 1, '0.000956': 1, '0.000352': 1, '0.000235': 1, '0.000410': 1, '0.000208': 1, '0.000497': 1, '0.000203': 1, '0.000444': 1, '0.000234': 1, '0': 131, '0.004178': 1, '0.005630': 1, '0.002873': 1, '0.002364': 1, '0.003514': 1, '0.002658': 1, '0.002968': 2, '0.003396': 1, '0.003160': 1, '0.003380': 1, '0.003072': 1, '0.018781': 1, '0.001609': 1, '0.011623': 1, '0.016360': 1, '0.000420': 1, '0.000233': 1, '0.000268': 1, '0.000396': 1, '0.000707': 1, '0.000295': 1, '0.000142': 1, '0.000158': 1, '0.005163': 1, '0.005736': 1, '0.008311': 1, '0.003002': 1, '0.001786': 1, '0.002849': 1, '0.003243': 1, '0.003909': 1, '0.003441': 1, '0.003607': 1, '0.002376': 1, '0.002917': 1, '0.000348': 1, '0.000290': 1, '0.000279': 1, '0.000217': 1, '0.000369': 1, '9.627299': 1, '0.000152': 1, '6.142147': 1, '0.000195': 1, '0.000193': 1, '0.008887': 1, '0.010738': 1, '0.010352': 1, '0.002055': 1, '0.008380': 1, '0.005549': 1, '0.006741': 1, '0.006653': 1, '0.000256': 2, '0.000179': 1, '0.000207': 1, '0.000215': 1, '0.000669': 1, '6.901289': 1, '0.000227': 1, '0.000126': 1, '0.000161': 1})\n",
      "4 defaultdict(<function <lambda> at 0x7f59547bfb00>, {'0.833': 2, '0.776': 1, '0.721': 2, '0.806': 1, '0.710': 1, '0.734': 1, '0.674': 1, '0.660': 1, '0.690': 1, '0.749': 1, '0.714': 1, '0.746': 2, '0.812': 1, '0.846': 1, '0.767': 1, '0.678': 1, '0.789': 1, '0.781': 1, '0.599': 2, '0.667': 1, '0.652': 1, '0.633': 1, '0.558': 1, '0.728': 1, '0.695': 1, '0.851': 1, '0.831': 1, '0.619': 2, '0.696': 1, '0.783': 1, '0.739': 1, '0.711': 1, '0.608': 1, '0.611': 2, '0.645': 3, '0.693': 3, '0.267': 2, '0.373': 1, '0.110': 1, '0.414': 1, '0.170': 2, '0.195': 2, '0.309': 1, '0.149': 1, '0.098': 1, '0.100': 1, '0.138': 1, '0.436': 1, '0.457': 1, '0.490': 1, '0.374': 2, '0.375': 1, '0.501': 1, '0.256': 1, '0.466': 1, '0.206': 1, '0.141': 1, '0.446': 1, '0.449': 1, '0.282': 1, '0.411': 1, '0.390': 1, '0.484': 2, '0.334': 1, '0.509': 1, '0.310': 1, '0.269': 1, '0.281': 1, '0.624': 1, '0.574': 1, '0.559': 2, '0.495': 1, '0.622': 2, '0.512': 1, '0.473': 2, '0.542': 1, '0.530': 2, '0.765': 1, '0.524': 1, '0.506': 2, '0.762': 1, '0.686': 1, '0.700': 3, '0.668': 1, '0.482': 1, '0.607': 1, '0.604': 2, '0.637': 1, '0.594': 2, '0.658': 1, '0.653': 2, '0.519': 2, '0.433': 1, '0.589': 1, '0.615': 1, '0.601': 1, '0.504': 1, '0.451': 1, '0.452': 1, '0.496': 1, '0.508': 1, '0.453': 1, '0.629': 1, '0.502': 1, '0.569': 1, '0.549': 1, '0.606': 1, '0.620': 1, '0.664': 1, '0.673': 1, '0.628': 1, '0.500': 1, '0.472': 1, '0.532': 1, '0.531': 1, '0.460': 1, '0.515': 1, '0.554': 1, '0.492': 1, '0.560': 1, '0.590': 1, '0.459': 1, '0.656': 1, '0.584': 1, '0.647': 1, '0.657': 1, '0.064': 1, '0.069': 2, '0.047': 1, '0.073': 1, '0.009': 1, '0.048': 1, '0.062': 1, '0.037': 2, '0.033': 1, '0.013': 1, '0.012': 1, '0.094': 1, '0.070': 1, '0.087': 1, '0.051': 1, '0.439': 1, '0.036': 1, '0.042': 2, '0.015': 1, '0.007': 1, '0.002': 1, '0.049': 1, '0.237': 1, '0.125': 1, '0.105': 2, '0.074': 2, '0.155': 1, '0.086': 2, '0.072': 1, '0.076': 1, '0': 131, '0.355': 1, '0.365': 1, '0.240': 1, '0.306': 1, '0.234': 1, '0.261': 1, '0.200': 2, '0.201': 1, '0.251': 3, '0.111': 1, '0.028': 1, '0.034': 1, '0.370': 2, '0.666': 1, '0.254': 1, '0.245': 1, '0.228': 2, '0.349': 1, '0.169': 1, '0.230': 1, '0.247': 1, '0.194': 1, '0.371': 1, '0.408': 1, '0.405': 1, '0.203': 1, '0.067': 1, '0.293': 1, '0.329': 1, '0.290': 1, '0.307': 1, '0.207': 1, '0.150': 1, '0.093': 1, '0.168': 1, '0.131': 1, '0.193': 1, '0.243': 1, '0.187': 1, '0.235': 1, '0.253': 1, '0.178': 1, '0.442': 1, '0.538': 1, '0.548': 1, '0.163': 1, '0.419': 1, '0.488': 1, '0.476': 1, '0.412': 1, '0.347': 1, '0.400': 1, '0.225': 1, '0.387': 1, '0.257': 1, '0.410': 1, '0.323': 1})\n",
      "{0: 4, 1: 10, 2: 2, 3: 241, 4: 214}\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "df_item_info = pd.read_csv('/kaggle/input/bigdata2021-rl-recsys/item_info.csv', sep=' ')\n",
    "\n",
    "user_vec_uniquevalue = {}\n",
    "for item_idx in range(5):\n",
    "    item_cnt = defaultdict(lambda: 0)\n",
    "    counter = defaultdict(lambda: [0, 0, 0])\n",
    "    for i in tqdm(range(df_item_info.shape[0])):\n",
    "        item_vec = df_item_info.at[i, 'item_vec'].split(',')\n",
    "        p = item_vec[item_idx]\n",
    "        item_cnt[p] += 1\n",
    "    # pprint(portrait_cnt)\n",
    "    user_vec_uniquevalue[item_idx] = len(item_cnt.keys())\n",
    "    print(item_idx, item_cnt)\n",
    "print(user_vec_uniquevalue)"
   ]
  },
  {
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   "id": "33cf5105",
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     "shell.execute_reply.started": "2021-07-13T13:21:11.287233Z"
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     "status": "completed"
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   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>item_id</th>\n",
       "      <th>item_vec</th>\n",
       "      <th>price</th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
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      "text/plain": [
       "   item_id              item_vec  price  location\n",
       "0        1  2,2,1,0.015764,0.833   2954         1\n",
       "1        2  2,0,1,0.012539,0.776    179         1\n",
       "2        3  2,8,1,0.007518,0.721    757         1\n",
       "3        4  2,0,1,0.007163,0.806   1486         1\n",
       "4        5  2,0,1,0.015435,0.710    593         1"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "df_item_info.head()"
   ]
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   "source": [
    "### Correlation"
   ]
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   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 260087/260087 [00:13<00:00, 19306.65it/s]\n"
     ]
    }
   ],
   "source": [
    "df_trainset = pd.read_csv('/kaggle/input/bigdata2021-rl-recsys/trainset.csv', sep=' ')\n",
    "\n",
    "for i in tqdm(range(df_trainset.shape[0])):\n",
    "    # change time in user_click_history into human readable format\n",
    "    # notice that some user_click_history == '0:0', which means there is no click history for this user\n",
    "    t = df_trainset.at[i, 'user_click_history']\n",
    "    if t == '0:0':\n",
    "        df_trainset.at[i, 'len_user_click_history'] = 0\n",
    "    else:\n",
    "        df_trainset.at[i, 'len_user_click_history'] = len(df_trainset.at[i, 'user_click_history'].split(','))\n",
    "    \n",
    "    df_trainset.at[i, 'num_bought'] = sum([int(a) for a in df_trainset.at[i, 'labels'].split(',')])"
   ]
  },
  {
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   "id": "48672b02",
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     "status": "completed"
    },
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   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>user_click_history</th>\n",
       "      <th>user_protrait</th>\n",
       "      <th>exposed_items</th>\n",
       "      <th>labels</th>\n",
       "      <th>time</th>\n",
       "      <th>len_user_click_history</th>\n",
       "      <th>num_bought</th>\n",
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       "      <td>1582992010</td>\n",
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       "      <td>1582992014</td>\n",
       "      <td>17.0</td>\n",
       "      <td>4.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
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       "      <td>1582992017</td>\n",
       "      <td>40.0</td>\n",
       "      <td>9.0</td>\n",
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      "text/plain": [
       "   user_id                                 user_click_history  \\\n",
       "0        1  30:1580603130,34:1581178937,15:1581178939,28:1...   \n",
       "1        2  20:1580644762,13:1580644765,1:1580644770,127:1...   \n",
       "2        3  39:1580772975,6:1580772981,1:1581178309,2:1581...   \n",
       "3        4  6:1580657608,9:1580657612,15:1580657615,127:15...   \n",
       "4        5  37:1580743545,36:1580743554,25:1580743556,37:1...   \n",
       "\n",
       "                                       user_protrait  \\\n",
       "0  64054,21804,80911,36504,8867,7615,54240,37294,...   \n",
       "1  64054,26565,93755,88510,6344,7615,54240,21927,...   \n",
       "2  64054,64086,63021,88510,93500,7615,54240,21927...   \n",
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       "4  64054,66036,6599,88510,76066,20543,83978,37294...   \n",
       "\n",
       "                   exposed_items             labels        time  \\\n",
       "0  1,20,28,99,86,119,213,237,164  1,1,1,1,1,1,1,1,1  1582992009   \n",
       "1  1,4,26,112,86,117,191,234,172  1,1,1,1,1,1,1,1,0  1582992010   \n",
       "2  22,4,28,48,105,42,193,236,159  1,1,1,0,1,0,0,0,0  1582992014   \n",
       "3  5,16,1,74,133,122,235,218,172  1,1,1,1,1,1,1,1,0  1582992014   \n",
       "4   6,1,16,85,73,112,239,172,205  1,1,1,1,1,1,1,1,1  1582992017   \n",
       "\n",
       "   len_user_click_history  num_bought  \n",
       "0                    74.0         9.0  \n",
       "1                    55.0         8.0  \n",
       "2                    17.0         4.0  \n",
       "3                    64.0         8.0  \n",
       "4                    40.0         9.0  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
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    }
   ],
   "source": [
    "df_trainset.head()"
   ]
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   "outputs": [],
   "source": [
    "len_user_click_history = np.array(df_trainset['len_user_click_history'])\n",
    "num_bought = np.array(df_trainset['num_bought'])\n",
    "\n"
   ]
  },
  {
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       "(array([5901., 6509., 2856., 1641., 1669., 1232.,  725., 2440., 3564.,\n",
       "        1647.]),\n",
       " array([0. , 0.9, 1.8, 2.7, 3.6, 4.5, 5.4, 6.3, 7.2, 8.1, 9. ]),\n",
       " <BarContainer object of 10 artists>)"
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     "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": [
    "plt.hist(num_bought[len_user_click_history == 0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "b0cf3603",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:33:56.393709Z",
     "iopub.status.busy": "2021-07-14T09:33:56.393026Z",
     "iopub.status.idle": "2021-07-14T09:33:56.573730Z",
     "shell.execute_reply": "2021-07-14T09:33:56.573148Z",
     "shell.execute_reply.started": "2021-07-13T16:22:17.970280Z"
    },
    "papermill": {
     "duration": 1.050849,
     "end_time": "2021-07-14T09:33:56.574002",
     "exception": false,
     "start_time": "2021-07-14T09:33:55.523153",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([4392., 4360., 1999.,  921., 1379.,  762.,  253.,  953.,  927.,\n",
       "         385.]),\n",
       " array([0. , 0.9, 1.8, 2.7, 3.6, 4.5, 5.4, 6.3, 7.2, 8.1, 9. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.hist(num_bought[(len_user_click_history >= 1) & (len_user_click_history <= 5)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "2beda388",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:33:58.343362Z",
     "iopub.status.busy": "2021-07-14T09:33:58.342644Z",
     "iopub.status.idle": "2021-07-14T09:33:58.728458Z",
     "shell.execute_reply": "2021-07-14T09:33:58.727766Z",
     "shell.execute_reply.started": "2021-07-13T16:22:30.488964Z"
    },
    "papermill": {
     "duration": 1.265367,
     "end_time": "2021-07-14T09:33:58.728599",
     "exception": false,
     "start_time": "2021-07-14T09:33:57.463232",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([3795., 3335., 1805.,  684., 1377.,  986.,  305., 1489., 1704.,\n",
       "         652.]),\n",
       " array([0. , 0.9, 1.8, 2.7, 3.6, 4.5, 5.4, 6.3, 7.2, 8.1, 9. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.hist(num_bought[(len_user_click_history >= 6) & (len_user_click_history <= 10)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "34057fbf",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:34:00.482265Z",
     "iopub.status.busy": "2021-07-14T09:34:00.481557Z",
     "iopub.status.idle": "2021-07-14T09:34:00.662610Z",
     "shell.execute_reply": "2021-07-14T09:34:00.661956Z",
     "shell.execute_reply.started": "2021-07-13T16:22:57.863690Z"
    },
    "papermill": {
     "duration": 1.04699,
     "end_time": "2021-07-14T09:34:00.662749",
     "exception": false,
     "start_time": "2021-07-14T09:33:59.615759",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([5664., 4474., 2752.,  988., 2656., 2144.,  613., 3659., 4705.,\n",
       "        1856.]),\n",
       " array([0. , 0.9, 1.8, 2.7, 3.6, 4.5, 5.4, 6.3, 7.2, 8.1, 9. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.hist(num_bought[(len_user_click_history >= 11) & (len_user_click_history <= 20)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "9c544340",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:34:02.448380Z",
     "iopub.status.busy": "2021-07-14T09:34:02.447334Z",
     "iopub.status.idle": "2021-07-14T09:34:02.607793Z",
     "shell.execute_reply": "2021-07-14T09:34:02.607069Z",
     "shell.execute_reply.started": "2021-07-13T16:23:02.168092Z"
    },
    "papermill": {
     "duration": 1.064427,
     "end_time": "2021-07-14T09:34:02.607959",
     "exception": false,
     "start_time": "2021-07-14T09:34:01.543532",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([3982., 2851., 1813.,  729., 2355., 1993.,  617., 3991., 5678.,\n",
       "        2349.]),\n",
       " array([0. , 0.9, 1.8, 2.7, 3.6, 4.5, 5.4, 6.3, 7.2, 8.1, 9. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Guv0MLMlpTI8KrAF+D3htkr8cb69GbzGGvo96eJ4kL2c68L9UVTePuz9jdB7w7iRPMD3sd36Sfxlvl8ZqP7C/qo79z+8mpt8EevVnwA+q6lBV/Q9wM/BHY+7TyC3G0PdRDwOShOkx20eq6lPj7s84VdWVVbWqqiaY/ndxZ1Utuiu5YVXV08C+JH/QShuAh8fYpXH7IbA+yWva780GFuEH26fcUzZP1Bge9XCqOw/4APDdJA+02ker6rbxdUmnkL8GvtQukB4HLh9zf8amqu5JchPwHabverufRfhIBh/DIEkdWYzDO5KkWRj6ktQRQ1+SOmLoS1JHDH1J6oihL0kdMfQlqSP/B7Jx4N/c0XfEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(num_bought[(len_user_click_history >= 21) & (len_user_click_history <= 30)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "2c964ef9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-07-14T09:34:04.421113Z",
     "iopub.status.busy": "2021-07-14T09:34:04.420380Z",
     "iopub.status.idle": "2021-07-14T09:34:04.609297Z",
     "shell.execute_reply": "2021-07-14T09:34:04.608610Z",
     "shell.execute_reply.started": "2021-07-13T16:23:08.524667Z"
    },
    "papermill": {
     "duration": 1.125678,
     "end_time": "2021-07-14T09:34:04.609440",
     "exception": false,
     "start_time": "2021-07-14T09:34:03.483762",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([2738., 2124., 1350.,  640., 2159., 1967.,  521., 4173., 7309.,\n",
       "        3227.]),\n",
       " array([0. , 0.9, 1.8, 2.7, 3.6, 4.5, 5.4, 6.3, 7.2, 8.1, 9. ]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "plt.hist(num_bought[(len_user_click_history >= 31) & (len_user_click_history <= 40)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fb71012",
   "metadata": {
    "papermill": {
     "duration": 0.873001,
     "end_time": "2021-07-14T09:34:06.387266",
     "exception": false,
     "start_time": "2021-07-14T09:34:05.514265",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 397.533958,
   "end_time": "2021-07-14T09:34:08.174899",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2021-07-14T09:27:30.640941",
   "version": "2.3.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}