如何使它工作：

1。创建一个单独的目录，并将所有这些文件下载到相同的目录中

2。下载7个文件：

*demo:主文件demo:PMF和贝叶斯PMF

* PMF.m:训练的PMF模型

* bayespmf.m贝叶斯PMF模型实现吉布斯采样器。

* moviedata.mat样本数据包含三元组（user_id，movie_id，评分）

* makematrix.m：辅助功能转换成大型矩阵的三元组。

* PRED.m:辅助功能使得预测验证集。

三.在Matlab只需运行演示。此代码使用MATLAB统计工具箱从威沙特分布的样本。-How to make it work:



　 1. Create a separate directory and download all these files into the same directory

　 2. Download the following 7 files:

　　　　 * demo.m Main file for training PMF and Bayesian PMF

　　　　 * pmf.m　Training PMF model

　　　　 * bayespmf.m　Bayesian PMF model that implements Gibbs sampler.　

　　　　 * moviedata.mat Sample data that contains triplets (user_id, movie_id, rating)

　　　　 * makematrix.m Helper function that converts triplets into large matrix.

　　　　　　This file is used by bayespmf.m

　　　　 * pred.m Helper function that makes predictions on the validation set.　

　　　　 * README.txt



　　3. Simply run demo.m in Matlab. It will fit PMF and then will run Bayesian PMF.　



This code uses Matlab stats toolbox to sample　Wishart distribution.