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tharunsikhinam edited this page Jun 12, 2019 · 18 revisions

thenextbestbook

DATA 515A Project - Spring 2019

Finding new books to read isn’t always easy. Looking at the size of libraries and some bookstores, it’s hardly surprising that there’s a lot of bad stuff circulating as well. Until recently, we limited ourselves to word of mouth and the tedious business of reading the back of every book on the shelves.

This project aims to build a recommendation engine to help you find your next best book.

Links to the dataset

Amazon Dataset: http://jmcauley.ucsd.edu/data/amazon/index.html

Goodreads Dataset: https://sites.google.com/eng.ucsd.edu/ucsdbookgraph/home

Setup

Before setting up the components, install all necessary dependencies

From the root directory of the project run

pip install -r requirements.txt

thenextbestbook has five components. Architecture below:

The following links details the setup process for each component

  1. Extract Transform Load
  2. Database
  3. Recommendation Engine
  4. Flask Web App
  5. UI

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