Application of Non-negative Matrix Factorization in Tag Semantics Analysis
非负矩阵分解在标签语义分析中的应用

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...