Recommenders (pytorch)

Include implementations on two types of recommenders:

1. Restricted Boltzmann Machine based recommender (notebook example).
2. Autoencoder based recommender.

• common: includes utility functions shared by different recommender systems, for example, data preprocessing.
  • preprocessor.py
  • util.py
• models: includes each model's Class:
  • encoder.py
• dataset: datasets used in this project.
  • MovieLens dataset (used in this project)
  • BookCrossing dataset