%0 Journal Article
%T Application of Non-negative Matrix Factorization in Tag Semantics Analysis<br>非负矩阵分解在标签语义分析中的应用
%A ZHANG Lei-ming
%A LI Qiu-dan
%A LIAO Sheng-cai
%A <br>张雷鸣
%A 李秋丹
%A 廖胜才
%J 计算机科学
%D 2010
%I 
%X With the development of Web2.0 technologies,social tagging systems are becoming more and more popular,which makes tags widely used to retrieve,categorize,and manage users' collections.However,people are free and uncontrollable to use tags,resulting in a large number of tags that are redundant,unclear in semantics.To deal with this problem,we proposed a tag semantics mining algorithm based on non-negative matrix factorization method.We got a tag subspace containing a series of semantic related tag-bases by f...
%K Non-negative matrix factorization
%K Tag
%K Tag semantics mining<br>非负矩阵分解
%K 标签
%K 标签语义挖掘
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=7D8E69587394F6BDB56B9425533C75FB&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=E158A972A605785F&sid=73579BC9CFB2D787&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=20