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Collaborative web agent based on friend network

Authors
Kim, Byeong ManLi, QinqHowe, Adele E.Chen, Yuanzhu Peter
Issue Date
Apr-2008
Publisher
TAYLOR & FRANCIS INC
Citation
APPLIED ARTIFICIAL INTELLIGENCE, v.22, no.4, pp.331 - 351
Journal Title
APPLIED ARTIFICIAL INTELLIGENCE
Volume
22
Number
4
Start Page
331
End Page
351
URI
https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/2913
DOI
10.1080/08839510801972835
ISSN
0883-9514
Abstract
Most existing web search looks do not utilize previous search experiences of others to improve performance for the current use): In. this article, we present a collaborative web agent designed to enable across-user collaboration in web search and recommendation. We use our distributed collaborative fillering (CF) algorithm based on a P2P overlay network, of autonomous agents. Experiments show that OUT proposed scheme is more scalable than traditional centralized CF filtering systems and alleviates the sparsity problem in distributed CF.
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College of Engineering (Department of Computer Software Engineering)
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