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dc.contributor.authorAbrouk, Lylia
dc.contributor.authorGross-Amblard, David
HAL ID: 1379
dc.contributor.authorCullot, Nadine
HAL ID: 180786
dc.contributor.authorThion-Goasdoué, Virginie
HAL ID: 3516
dc.date.accessioned2013-11-22T12:37:53Z
dc.date.available2013-11-22T12:37:53Z
dc.date.issued2010
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/12142
dc.language.isoenen
dc.subjectClusteringen
dc.subjectData sharingen
dc.subjectInformation networksen
dc.subjectUser distanceen
dc.subjectWeb communityen
dc.subject.ddc005en
dc.titleTagging Resources, Tagging Communitiesen
dc.typeCommunication / Conférence
dc.description.abstractenMost of the existing social network systems require from their users an explicit statement of their friendship relations. In this paper we focus on implicit communities of Web users and present an approach to automatically detect such communities based on user's resource manipulations. This approach is dynamic as user groups appear and evolve along with users interests over time. Moreover, new resources are dynamically labeled according to who is manipulating them. Our proposal relies on the fuzzy K-mean clustering method and is assessed on large movie data sets.en
dc.identifier.citationpages1253-1254en
dc.relation.ispartoftitle2010 Seventh International Conference on Information Technology new generations (ITNG)- proceedingsen
dc.relation.ispartofpublnameIEEEen
dc.relation.ispartofdate2010
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.relation.ispartofisbn978-0-7695-3984-3en
dc.relation.conftitle2010 Seventh International Conference on Information Technology new Generations (ITNG)en
dc.relation.confdate2010-04
dc.relation.confcityLas Vegasen
dc.relation.confcountryÉtats-Unisen
dc.relation.forthcomingnonen
dc.identifier.doihttp://dx.doi.org/10.1109/ITNG.2010.206en


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