Research on personal hybrid recommendation overcoming data sparse problem
Wei Jiang, Xiu-Li Pang · Computer Engineering and Applications Journal · 2012
Collaborative filtering is one of the typical personal recommendations,but some difficulties exist,such as the data sparse problem,cold starting problem,scaling expanding problem.Two respects of work are done:on one hand,an improved similarity measure is presented to overcome the data sparse problem,on the other hand,the SVD based special user erasing method is presented to overcome the noise-sample problem.The experiments show that the improved method increases 4.30% in terms of MAE,and the combined model,which adopts the weighted average method,further increases 1.26%.