%0 Journal Article
%T Research on CF Algorithm Based on Probabilistic Analysis of Discrete Rating Vector<br>基于离散评分向量概率分析的CF算法改进研究
%A TIAN Wei
%A XU Jing
%A PENG Yu-qing
%A <br>田伟
%A 许静
%A 彭玉青
%J 计算机科学
%D 2010
%I 
%X 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.
%K Electronic commerce
%K Recommendation system
%K Collaborative filter
%K All-average
%K Personalized<br>电子商务
%K 推荐系统
%K 协同过滤
%K 全面均值
%K 个性化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=2612B26A5F5E463BDF894D94982F6F24&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=94C357A881DFC066&sid=7EBE588F611589FC&eid=DD74772618543076&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=7