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dc.contributor.authorKim, Laehyun-
dc.contributor.authorWiyartanti, Lisa-
dc.contributor.authorCho, Hyunchul-
dc.contributor.authorHan, Yo-Sub-
dc.contributor.authorCha, Jeong-Won-
dc.date.accessioned2024-01-20T18:34:00Z-
dc.date.available2024-01-20T18:34:00Z-
dc.date.created2021-09-05-
dc.date.issued2010-09-
dc.identifier.issn1343-4500-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/131135-
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 meta-data. Moreover, we can determine the quality of related contents using this new social network. Based on this observation, we introduce a ranking algorithm for user-generated video sharing website like YouTube. We make use of pre-analysis over ranking parameters that we offer as key factors in our algorithm computation. Then, we calculate the value of contents, and orders the contents by statistical method.-
dc.languageEnglish-
dc.publisherINT INFORMATION INST-
dc.titleRanking Parameters based on Social Network for User-generated Video Contents-
dc.typeArticle-
dc.description.journalClass1-
dc.identifier.bibliographicCitationINFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, v.13, no.5, pp.1667 - 1678-
dc.citation.titleINFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL-
dc.citation.volume13-
dc.citation.number5-
dc.citation.startPage1667-
dc.citation.endPage1678-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000285741700011-
dc.relation.journalWebOfScienceCategoryEngineering, Multidisciplinary-
dc.relation.journalResearchAreaEngineering-
dc.type.docTypeArticle; Proceedings Paper-
dc.subject.keywordAuthorWeb 2.0-
dc.subject.keywordAuthorsocial network-
dc.subject.keywordAuthoruser-generated video contents-
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KIST Article > 2010
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