DSpace at KISTKIST Conference Paper2009

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dc.contributor.authorHan, Yo-Sub-
dc.contributor.authorKim, Laehyun-
dc.contributor.authorCha, Jeong-Won-
dc.date.accessioned2024-01-19T13:08:28Z-
dc.date.available2024-01-19T13:08:28Z-
dc.date.created2022-03-07-
dc.date.issued2009-
dc.identifier.issn0302-9743-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/116067-
dc.description.abstractIn the Web 2.0 era, people not only read web contents but upload, view, share and evaluate all contents on the web. This leads us to introduce a new type of social network that is based on user activity and content metadata. Moreover, we can determine the quality of related contents using this new social network. Based on this observation, we introduce a user evaluation algorithm for user-generated video sharing website such as YouTube.-
dc.languageEnglish-
dc.publisherSPRINGER-VERLAG BERLIN-
dc.titleEvaluation of User Reputation on YouTube-
dc.typeConference-
dc.description.journalClass1-
dc.identifier.bibliographicCitation3rd International Conference on Online Communities and Social Computing held at the 13th International Conference on Human-Computer Interaction, v.5621, pp.346 - +-
dc.citation.title3rd International Conference on Online Communities and Social Computing held at the 13th International Conference on Human-Computer Interaction-
dc.citation.volume5621-
dc.citation.startPage346-
dc.citation.endPage+-
dc.citation.conferencePlaceGE-
dc.citation.conferencePlaceSan Diego, CA-
dc.citation.conferenceDate2009-07-19-
dc.relation.isPartOfONLINE COMMUNITIES AND SOCIAL COMPUTING, PROCEEDINGS-
dc.identifier.wosid000269304600038-
dc.identifier.scopusid2-s2.0-76649107050-
dc.type.docTypeProceedings Paper-
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KIST Conference Paper > 2009
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