User Classification Method of P2P Network Based on Clustering

In this paper, we study the approach of user classification and service optimization for the file sharing application to P2P network. The user classification model is proposed which is based on user interest similarity and time feature similarity, and the method for determining user similarity is given. By analyzing the component features of user classification model, the results show that the model is consistent with the behavior of network users, and the efficiency and success rate of network resource search can be improved.