Pytorch implementation of Recommendation System based on Generative Adverserial Reinforcement Learning based user Model Implementation of the paper under same title paper

1. Data Necessary (Yelp Reviews)
2. Data Preprocessing
3. Position Weigth (PW) Model
4. Hyperparameter Tuned Model

Simply Run reco_gan_rl jupyter notebook. It includes both preprocessing of the data as well as training

1. Add LSTM Model

The data processing is mainly based on original implementation so that the results could be compared .Source