A novel resource description based approach for clustering peers

Authors:
Xing Zhu;Dingyi Han;Yong Yu;Weibin Zhu
Affiliations:
Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China;Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China
Venue:
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Year:
2005

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Abstract

Clustering similar peers could benefit document retrieval in P2P systems. In this paper, we suggested a resource description based approach to cluster peers according to their topics. By combining the topic model (an extension of language model) technique and fuzzy set theory, we solve the key problems about resource generation and peer similarity calculation. Experiments performed on the standard data sets prove that our approach is more effective than the traditional method.