This repository is created for comparing the 3 models for building up a recommender system:

• Collaborative filtering
• Matrix factorization
• Neural Network

• Collaborative Filtering

  • Similarity

    • Cosine

    

    • Pearson coefficient

    

  • Prediction

  

• Matrix Factorization

  • Prediction

  

  • Loss

  

• Neural Network

• data\
  • u.data: raw file that contains all user ID, item ID and each corresponding rating
• src\
  • cf\: implementation of collaborative filtering model
  • mf\: implementation of matrix factorization model
  • nn\: implementation of neural network model

The code has been tested running under Python 3.7.3, with the following packages installed (along with their dependencies):

• tensorflow == 1.14.0
• numpy == 1.16.4
• sklearn == 0.21.2

Run collaborative filtering

$ cd src/cf
$ python main.py

Run matrix factorization

$ cd src/mf
$ python main.py

Run neural network

$ cd src/nn
$ python main.py