# Autorec : Autoencoder meets Collaborative Filtering
(Sedhain, S., Menon, A. K., Sanner, S., & Xie, L. (2015, May). Autorec: Autoencoders meet collaborative filtering. In Proceedings of the 24th International Conference on World Wide Web (pp. 111-112). ACM.)

## Python Tensorflow Implementation

### This is a forked version of [this repository](https://github.com/gtshs2/Autorec).

This version accepts UPL size in arguments as --upl and separates test and train
data based on profile sizes. For example for UPL=10 it keeps 10 items of each
user in train data and put rest in test data. I also changed test method so now the model is capable of calculating
NDCG instead of RMSE.