%0 Journal Article
%T Collaborative Filtering Based on Similarity Fusion of Tag and Rating Under the Background of SNS<br>SNS 背景下基于Tag 和Rating 相似度融合的协同过滤
%A WANG Wei-Ping
%A ZHANG Li-Jun
%A <br>王卫平
%A 张丽君
%J 计算机系统应用
%D 2011
%I 
%X The emergence of social networking services(SNS) provides an opportunity for the application of tag.In this paper,we choose the website based on SNS as the background,and then integrate tag information into collaborative filtering recommendation system.So we proposed collaborative filtering recommendation system based on similarity fusion of tag and rating under the background of SNS.It can help us to reduce the influence of data sparsity on the recommendation accuracy.First,we calculate the user similarity...
%K SNS
%K Tag
%K collaborative filtering
%K similarity fusion
%K sparsity<br>SNS
%K Tag
%K 协同过滤
%K 相似度融合
%K 稀疏性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=48687FEEF97E586121C89B2F9C150409&yid=9377ED8094509821&vid=A04140E723CB732E&iid=F3090AE9B60B7ED1&sid=46CB27789995047D&eid=35FC3610259C2B32&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=10