A recommendation trust method based on fuzzy clustering in P2P networks

作者：Guo Liangmin^*; Luo Yonglong; Zhou Zhengzhen; Ji Meijing

来源：Journal of Software, 2013, 8(2): 357-360.

DOI：10.4304/jsw.8.2.357-360

• Classification methods
• False Recommendation
• P2P network
• Recommendation peer
• Recommendation trust
• Thought of maximum tree
• Trust evaluation

In this paper, we apply the thought of maximal tree to propose a peer classification method. It's based on fuzzy clustering. The method classifies effectively the recommendation peers according to their trusted level. Finally, the experiment results show that if you choose the recommendation peers with higher trusted level, their recommendation result will be more truthful and reliable. So our method can effectively avoid false recommendation, and enhance the accuracy of trust evaluation in P2P networks.

• 出版日期2013