matrix factorization for recommender system (collaborative filtering)
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
.README.txt.swp
README.md
cost_func.m
data_full.mat
fmincg.m
main.m
mf_resys_func.m
pred_ratings.txt
regularparam_select.m
report_mf_re_sys.pdf
test_all.mat
train_all.mat

README.md

% % This is a README file for % % Final Project: Recommender Systems %

Basic information

AUTHOR: Junhao Hua

EMAIL: huajh7@gmail.com

Environment Requirement

The program is written by MATLAB. Make Sure you have installed the MATLAB 7.0 (or higher version).

Instruction

1) To compile program, just run the 'main.m' script file.

2) 'regularparam_select.m' is a script file that performs 
  the program to select the best value of the regularization parameter \lambda.
  
3) 'mf_resys_func.m' is a function that performs the a gradient 
  descent algorithm for regularized squared error cost function.

--

Junhao Hua huajh7@gmail.com

2015/5/28