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.
Amazon Dataset: http://jmcauley.ucsd.edu/data/amazon/index.html [1]
Goodreads Dataset: https://sites.google.com/eng.ucsd.edu/ucsdbookgraph/home
Link to Project Wiki
[1] R. He, J. McAuley. Modeling the visual evolution of fashion trends with one-class collaborative filtering. WWW, 2016 J. McAuley, C. Targett, J. Shi, A. van den Hengel. Image-based recommendations on styles and substitutes. SIGIR, 2015