Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch

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

This Repo Include:

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

To Train:

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

To DO:

1. Add LSTM Model

Note:

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