Chao-Jiang / Recommender-System-Tensorflow

Simple Recommender System implemented using TensorFlow and TF-Slim

Recommender-System-Tensorflow

Simple Recommender System implemented using TensorFlow and TF-Slim

Collaborative Filtering using AutoEncoder

This model was created using step-by-step tutorial from https://github.com/fstrub95/torch.github.io/blob/master/blog/_posts/2016-02-21-cfn.md In this method we tried to predict the rating

Result

• On the MovieLens-1M dataset, we achieve Mean Average Error of 0.560396 and Root Mean Squared Error of 0.748613
• ... TODO show more result

python trainAE.py
python evaluateAE.py

Hybrid collaborative filtering using Denoising AutoEncoders and Embedding

This method uses Embedding on userdata to improve the model that uses Denoising AutoEncoder on rating matrix.

python trainDAE.py
python evaluateDAE.py

... TODO introduce embedding