https://github.com/fuhailin/probabilistic-matrix-factorization

Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset
https://github.com/fuhailin/probabilistic-matrix-factorization

matrix-factorization recommendation-system

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Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset

• Host: GitHub
• URL: https://github.com/fuhailin/probabilistic-matrix-factorization
• Owner: fuhailin
• License: apache-2.0
• Created: 2017-01-09T15:13:08.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2019-06-17T09:46:19.000Z (over 6 years ago)
• Last Synced: 2024-12-12T06:24:41.046Z (10 months ago)
• Topics: matrix-factorization, recommendation-system
• Language: Python
• Homepage:
• Size: 13.2 MB
• Stars: 169
• Watchers: 6
• Forks: 60
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
## Python Implementation of Probabilistic Matrix Factorization Algorithm 

The code attempts to implement the following paper:

> *Mnih, A., & Salakhutdinov, R. (2007). Probabilistic matrix factorization. In Advances in neural information processing systems (pp. 1257-1264).*

Probabilistic Matrix Factorization in Python with MovieLens dataset

![image](https://github.com/fuhailin/Probabilistic-Matrix-Factorization/blob/master/docs/PMF.png)

The dataset is a copy of the MovieLens | GroupLens 

dataset in the `MovieLens 100k | GroupLens `

### Reference:  

1. Mnih, A., & Salakhutdinov, R. (2007). Probabilistic matrix factorization. In Advances in neural information processing systems (pp. 1257-1264).  

2. Salakhutdinov, R. Probabilistic matrix factorization in Matlab. http://www.utstat.toronto.edu/~rsalakhu/BPMF.html.