This repository contains all the files pertaining to the AC209a project, "Rekindling Your Inner Reader: A Recommendation System for the Amazon Kindle Store." Our live site can be found at: https://sola209.github.io/ac209project/ . The following outlines the structure of the repo:
- DataExploration: A folder containing all iPython notebooks with data exploration models.
- PreliminaryModels: A folder containins preliminary models, including the pre-hybrid recommendation models and matrix factorization attempts
- FinalModels: A folder containing the models whose results are contained on the live website
The following are the references used in the development of models for this project:
- Image-based recommendations on styles and substitutes J. McAuley, C. Targett, J. Shi, A. van den Hengel SIGIR, 2015
- Inferring networks of substitutable and complementary products J. McAuley, R. Pandey, J. Leskovec Knowledge Discovery and Data Mining, 2015
- The BellKor Solution to the Netflix Grand Prize Y. Koren. 2008.
- Mining of Massive Datasets. J. Leskovec, A. Rajaraman, J. Ullman. Cambridge University Press, 2014
We would like to thank the staff of AC209a as well as our project TF, Victoria Lin, whose guidance has been invaluable throughout the project.