Collaborative filtering filling miss values algorithm based on co-rating matrix
一种基于相同评分矩阵的协同过滤补值算法

In order to solve the sparsity of ratings problem in collaborative filtering, this paper proposed a new filling miss va-lues algorithm. Firstly, defined the co-rating matrix. Secondly, proposed a filling miss values algorithm based on the co-rating matrix, which worked well through the change of the similarity relation on the co-rating matrix. Experimental results show that the algorithm can effectively solve the data sparse problem and improve the quality of the recommendation.