{"title":"User Classification Method of P2P Network Based on Clustering","authors":"Shidong Zhang, Yanzhen Li, Zhimin Shao, Yong Sun","doi":"10.1109/DCABES.2015.69","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":444588,"journal":{"name":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 14th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCABES.2015.69","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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