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

Primary LanguagePythonMIT LicenseMIT

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 main_gan_mode 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