Simple Recommender System implemented using TensorFlow and TF-Slim
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
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