Collaborative web agent based on friend network
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Byeong Man | - |
dc.contributor.author | Li, Qinq | - |
dc.contributor.author | Howe, Adele E. | - |
dc.contributor.author | Chen, Yuanzhu Peter | - |
dc.date.available | 2020-04-24T13:26:18Z | - |
dc.date.created | 2020-04-03 | - |
dc.date.issued | 2008-04 | - |
dc.identifier.issn | 0883-9514 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/2913 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | TAYLOR & FRANCIS INC | - |
dc.subject | RECOMMENDER SYSTEM | - |
dc.title | Collaborative web agent based on friend network | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Byeong Man | - |
dc.identifier.doi | 10.1080/08839510801972835 | - |
dc.identifier.wosid | 000255470900003 | - |
dc.identifier.bibliographicCitation | APPLIED ARTIFICIAL INTELLIGENCE, v.22, no.4, pp.331 - 351 | - |
dc.citation.title | APPLIED ARTIFICIAL INTELLIGENCE | - |
dc.citation.volume | 22 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 331 | - |
dc.citation.endPage | 351 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | RECOMMENDER SYSTEM | - |
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