hxsylzpf/constrained_pmf

Constrained Probabilistic Matrix Factorization in Matlab

Constrained_PMF

The SGD for Constrained Probabilistic Matrix Factorization(CPMF) in Matlab % % Created by Xiuze Zhou

% E-mail: [email protected]

% % Permission is granted for anyone to copy, use, modify, or distribute this % program and accompanying programs and documents for any purpose, provided % this copyright notice is retained and prominently displayed, along with a % note saying that the original programs are available from our web page.

% %The programs and documents are distributed without any warranty, express % or implied. As the programs were written for research purposes only, they % have not been tested to the degree that would be advisable in any important % application. All use of these programs is entirely at the user's own risk.

How to make it work: 1. Create a separate directory and download all these files into the same directory

2. Download the following 6 files:
	1) CPMF.m: Main file for training CPMF
	2) dg.m: The derivative of g(x)
	3) g.m: The log function g(x)
	4) LOSE.m: The loss function
	5) run.m: Load data and set parameters
	6) u.data: MovieLens 100k data set
3. Run run.m

I did not try to optimize this code, but please e-mail me if you find bugs.

I am also very glad to communicate with you by e-mail about your problems.