# Probabilistic-Matrix-Factorization

**Repository Path**: greitzmann/Probabilistic-Matrix-Factorization

## Basic Information

- **Project Name**: Probabilistic-Matrix-Factorization
- **Description**: Python Implementation of Probabilistic Matrix Factorization(PMF) Algorithm for building a recommendation system using MovieLens ml-100k | GroupLens dataset
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-02-26
- **Last Updated**: 2021-02-26

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## 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 <http://files.grouplens.org/datasets/movielens/ml-100k.zip/>`

### 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.