%0 Journal Article
%T Collaborative filtering filling miss values algorithm based on co-rating matrix<br>一种基于相同评分矩阵的协同过滤补值算法
%A CHEN Yi
%A YU Hong
%A <br>陈逸
%A 于洪
%J 计算机应用研究
%D 2009
%I 
%X 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.
%K co-rating matrix
%K collaborative filtering
%K filling miss values
%K sparsity<br>相同评分矩阵
%K 协同过滤
%K 补值
%K 稀疏性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=B2D8AF85A80DF4EFE6C88BDFBA30093C&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=59906B3B2830C2C5&sid=B4A916D3FDD07744&eid=0E45B776841B116A&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10