CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks

This repository provides a reference implementation of CFGAN as described in the following papers:

CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks
Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, and Jung-Tae Lee
27th ACM Int’l Conf. on Information and Knowledge Management (CIKM 2018)

Overview of CFGAN

Authors

Requirements

The code has been tested running under Python 3.5. The required packages are as follows:

Basic Usage

Cite

We encourage you to cite our paper if you have used the code in your work. You can use the following BibTex citation: