LLORMA performance issue

[aporia3517]

Hi, all.

First of all, I really appreciate the developers that made the libRec.
It is really helpful for various experiments for my work.

I have an issue that LLORMA's performance on MovieLens-1M data is going worse as follows:

[DEBUG] 2016-11-09 22:36:11,789 -- With Specs: {Users, Items, Ratings} = {6040, 3815, 20000}, Scale = {1.0,2.0,3.0,4.0,5.0}
[DEBUG] 2016-11-09 22:36:16,645 -- LLORMA: [factors, lRate, maxLRate, regB, regU, regI, iters, boldDriver] = [10, 0.001, -1.0, 0.001, 0.001, 0.001, 100, true]
[DEBUG] 2016-11-09 22:36:42,528 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt
[DEBUG] 2016-11-09 22:36:42,530 -- LLORMA iter 5:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [1.261908,1.000000,Infinity,0.000000,1.556156,3.535900,3.719341]
[DEBUG] 2016-11-09 22:36:56,349 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt
[DEBUG] 2016-11-09 22:36:56,350 -- LLORMA iter 10:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [2.524851,2.000000,Infinity,0.000000,2.201272,7.071800,5.259943]
[DEBUG] 2016-11-09 22:37:08,754 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt
[DEBUG] 2016-11-09 22:37:08,755 -- LLORMA iter 15:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [3.796789,3.000000,Infinity,0.000000,2.702933,10.607700,6.442088]
[DEBUG] 2016-11-09 22:37:21,414 -- LLORMA has written rating predictions to .\Results\LLORMA-rating-predictions.txt
[DEBUG] 2016-11-09 22:37:21,415 -- LLORMA iter 20:[MAE,MPE,NMAE,Perplexity,RMSE,R_MAE,R_RMSE] [5.070666,4.000000,Infinity,0.000000,3.126489,14.143600,7.438683]

Can give me any advice?

Thanks.