Skip to content

About

This is a python white box implementation of recommendation system using matrix factorization

Resources

Stars

1 star

Watchers

0 watching

Forks

Latest commit

 

History

32 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MfRecommender

This is a python explicit (white box) implementation of recommendation system using matrix factorization. The optimizers are SGD and ALS, and can be controlled by a flag. The mf_test.py demonstrates model training and prediction on RMSE metric evaluation.

Dependencies:

  1. numpy
  2. matplotlib
  3. math
  4. random

About

This is a python white box implementation of recommendation system using matrix factorization

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages