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《Mind and Computation》 2007-04
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A Document Recommendation System Based on Clustering P2P Networks

LIN Ying, GUO Feng (Department of Cognitive Science, Xiamen University, Xiamen 361005,China)  
This paper presents a document recommendation system based on clustering peer-to-peer networks. It’s an unstructured P2P system. In this system each agent-peer can learn user’s interest, then it helps user share and recommend documents with the other users. Since each peer in our P2P networks is a node, in order to cluster them, we import the concept of Group. Each group is composed of peers. The types of documents, which belong to a same group, are uniform. This paper presents how these peers help users to share and to recommend documents, and how they cluster into groups. Our experiment results show the advantages of the document recommendation system.
【CateGory Index】: TP319
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Chinese Journal Full-text Database 10 Hits
1 HUANG Ying, NI Yuan-ping, HAN Jin-ge (Faculty of Information Engineering and Automati on, Kunming University of Science and Technology, Kunming 650051,China);The application of combining recommendation to economic insect e-business system[J];Electronic Instrumentation Customer;2006-05
2 SONG Zhen-zhen,WANG Hao,YANG Jing(School of Computer and Information,Hefei University of Technology,Hefei 230009,China);Research on collaborative filtering in personality recommendation systems[J];Journal of Hefei University of Technology(Natural Science);2008-07
3 ;On Study of the Issues and Corresponding Countermeasures of Current Recommender Systems[J];Computer Science;2001-04
4 ;Collaborative Filtering[J];Computer Science;2002-06
5 YU Li~(1,2), LIU Lu~1(1.Sch. of Economics & Management, Beihang Univ., Beijing 100083, China;2. Sch. of Info., Renmin Univ. of China, Beijing 100872,China);Research on personalized recommendations in E-business[J];Computer Integrated Manufacturing Systems;2004-10
6 WU Yan1,SHEN Jie1,GU Tian-zhu1,CHEN Xiao-hong1,LI Hui1,2,ZHANG Shu1(1.Dept.of Computer Science,Institute of Information Technology,Yangzhou University,Yangzhou Jiangsu 225009,China;2.Dept.of Computer Science,Huaihai Institute of Technology,Lianyungang Jiangsu 222005,China);Algorithm for Sparse Problem in Collaborative Filtering[J];Application Research of Computers;2007-06
7 XIE Ya-ping1,NIU Guang-wen2(1.The Computer Center of Lanzhou Resources and Environment Vocational School,Lanzhou 730020,China;2.The Electric Engineering Department of Lanzhou Polytechnic College,Lanzhou 730050,China);Research on User Clustering of Recommendation System in E-commerce[J];Journal of Lanzhou Polytechnic College;2009-03
8 Wu Lihua~(1,2) and Liu Lu~2(1.Department of Computer Information System,Beijing Information Technology Institute,Beijing 100101;2.School of Economics & Management,Beijing University of Aeronautics and Astronautics,Beijing 100083);User Profiling for Personalized Recommending Systems?—A Review[J];Journal of the China Society for Scientific and Technical Information;2006-01
9 Liu Pingfeng Nie Guihua Chen Donglin;A Survey:Electronic Commerce Recommender Systems[J];Journal of Information;2007-09
10 SHI Lin,WANG Kanliang(Department of Information Management and E-commerce,The School of Management, Xi'an Jiaotong University,Xi'an 710049,China);Comparative of personalized recommendation systems used in online shopping and e-learning[J];Journal of Tsinghua University(Science and Technology);2006-S1
?2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved
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