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Collaborative web agent based on friend network

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dc.contributor.authorKim, Byeong Man-
dc.contributor.authorLi, Qinq-
dc.contributor.authorHowe, Adele E.-
dc.contributor.authorChen, Yuanzhu Peter-
dc.date.available2020-04-24T13:26:18Z-
dc.date.created2020-04-03-
dc.date.issued2008-04-
dc.identifier.issn0883-9514-
dc.identifier.urihttps://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/2913-
dc.description.abstractMost 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.-
dc.language영어-
dc.language.isoen-
dc.publisherTAYLOR & FRANCIS INC-
dc.subjectRECOMMENDER SYSTEM-
dc.titleCollaborative web agent based on friend network-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Byeong Man-
dc.identifier.doi10.1080/08839510801972835-
dc.identifier.wosid000255470900003-
dc.identifier.bibliographicCitationAPPLIED ARTIFICIAL INTELLIGENCE, v.22, no.4, pp.331 - 351-
dc.citation.titleAPPLIED ARTIFICIAL INTELLIGENCE-
dc.citation.volume22-
dc.citation.number4-
dc.citation.startPage331-
dc.citation.endPage351-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordPlusRECOMMENDER SYSTEM-
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