Abstract-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.
In paper REF , a peer classification method based on the thought of maximal tree is proposed, which can effectively classify recommendation peers according to their trusted level.
A Recommendation Trust Method Based on Fuzzy Clustering in P2P Networks
JSW
JSW
Computer Science