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A novel clustering and supervising users'''' profiles method
引用本文:Zhu Mingfu,Zhang Hongbin & Song FangyunDepartment of Control Science and Engineering,Huazhong University of Science & Technology,Wuhan 430074,P. R. China. A novel clustering and supervising users'''' profiles method[J]. 系统工程与电子技术(英文版), 2005, 16(2)
作者姓名:Zhu Mingfu  Zhang Hongbin & Song FangyunDepartment of Control Science and Engineering  Huazhong University of Science & Technology  Wuhan 430074  P. R. China
作者单位:Zhu Mingfu,Zhang Hongbin & Song FangyunDepartment of Control Science and Engineering,Huazhong University of Science & Technology,Wuhan 430074,P. R. China
基金项目:ThisprojectwassupportedbytheBureauofArchivesManagement(2001x04).
摘    要:1.INTRODUCTION ConventionalRD(resourcediscovery)procedures(Yahoo!,OpenDirectory,Snap,e.g.)oftenreturn suchlonglistsofrankeddocumentssothatauseris forcedtosiftthroughtofindrelevantdocuments.Moreoverthetolerablylowprecisionofthemcoupled withtherankedlistpresentationmakesithardfor userstofindinterestingcontentespeciallywhatthey carefor.Moreover,indexofwebdocumenttobede signedmightnotapttothecurrentaccess.There fore,onegoalofourresearchistodesignavision,in whichusershaveaneasybrowsesuitable…


A novel clustering and supervising users'''' profiles method
Zhu Mingfu,Zhang Hongbin,Song Fangyun. A novel clustering and supervising users'''' profiles method[J]. Journal of Systems Engineering and Electronics, 2005, 16(2)
Authors:Zhu Mingfu  Zhang Hongbin  Song Fangyun
Affiliation:Department of Control Science and Engineering, Huazhong University of Science & Technology, Wuhan 430074, P. R. China
Abstract:To better understand different users' accessing intentions, a novel clustering and supervising method based on accessing path is presented. This method divides users' interest space to express the distribution of users' interests, and directly to instruct the constructing process of web pages indexing for advanced performance.
Keywords:cluster tree   group/CT tree   session   log data files
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