Research on CF Algorithm Based on Probabilistic Analysis of Discrete Rating Vector
基于离散评分向量概率分析的CF算法改进研究

The users' similarity computation is a key step of Collaborative Filter(CF) algorithm.The All-Average method and classified recommendation improved algorithm based on probabilistic analysis of users' discrete explicit ra-ting vector were proposed to solve the problem of CF sparsity and other practical problems.Experimental result shows that the improved method enhances the precision and quality of CF prediction.