基于TF-IDF相似度的标签聚类方法

被引:21
作者
韩敏
唐常杰
段磊
李川
巩杰
机构
[1] 四川大学计算机学院
关键词
标签聚类; 相似度; 社会标签系统; TF-IDF技术;
D O I
暂无
中图分类号
TP393.09 [];
学科分类号
080402 ;
摘要
社会标签系统是Web2.0中提出的新概念,旨在更好地表达用户的兴趣和意愿。标签聚类是社会标签数据挖掘中一个非常重要的研究课题。标签相似度的计算是标签聚类的关键技术。主要工作包括:(1)提出了一种基于TF-IDF的标签相似度计算方法和基于该相似度的聚类算法;(2)分析了影响标签相似度的条件;(3)通过实验表明:与已有方法相比,新方法的准确性更高。
引用
收藏
页码:240 / 246
页数:7
相关论文
共 11 条
[1]  
Folksonomy tag organization method based on the tripartite graph analysis. Niwa S,Doi T,Honiden S. IJCAI Workshop on Semantic Web for Collaborative Knowledge Acquisition . 2007
[2]  
Freedom and restraint:Tags,vocabularies and ontologies. Lawrence K F,Schraefel M C. Proceedings of the2nd IEEE International Conference on ICTTA . 2006
[3]  
Aspects of broad Folksono-mies. Lux M,Granitzer M,Kern R. Proc of the18th Int’l Conf on Database and Expert Systems Applications . 2007
[4]  
Semiotic dynamics and collaborative tagging. Cattuto C,Loreto V,Pietronero L. Proceedings of the National Academy of Sciences of the United States of America . 2007
[5]  
Measuring the semantic value of folksonomies. H. S. Al-Khalifa,and H. C. Davis. Innovationsin Information Technology . 2006
[6]  
Evaluating strategies for similarity search on the web. Haveliwala T,Gionis A,Klein D,et al. Proceedings of the11th International World Wide Web Conference . 2002
[7]  
Web page recommender system based on Folksonomy mining. Niwa S,Doi T,Honiden S. Proceedings of the3rd Int’l Conf on Information Technology New Generations . 2006
[8]  
Ontologyi soverrated:Categories,links,andtags. ShirkyC. Clay Shirky’s Writings about the Internet Website .
[9]  
The structure of collaborative tag-ging systems. Golder S,Huberman B A. HP Labs Advanced Research at HP .
[10]  
Network properties of Folksonomies. Cattuto C,Schmitz C,Baldassarri A. Network Analysis in Natural Sciences andEngineering . 2007