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Mining user navigation patterns for personalizing topic directories

Αποθετήριο DSpace/Manakin

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dc.contributor.author Dalamagas, T en
dc.contributor.author Bouros, P en
dc.contributor.author Galanis, T en
dc.contributor.author Eirinaki, M en
dc.contributor.author Sellis, T en
dc.date.accessioned 2014-03-01T02:44:50Z
dc.date.available 2014-03-01T02:44:50Z
dc.date.issued 2007 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31961
dc.subject Navigation patterns en
dc.subject Personalization en
dc.subject Sequential patterns en
dc.subject Topic directories en
dc.subject.other Information resource en
dc.subject.other Key feature en
dc.subject.other Mining tasks en
dc.subject.other Navigation patterns en
dc.subject.other Personalizations en
dc.subject.other Sequential patterns en
dc.subject.other Topic directory en
dc.subject.other User groups en
dc.subject.other User navigation en
dc.subject.other Knowledge management en
dc.subject.other Technical presentations en
dc.subject.other Navigation en
dc.title Mining user navigation patterns for personalizing topic directories en
heal.type conferenceItem en
heal.identifier.primary 10.1145/1316902.1316916 en
heal.identifier.secondary http://dx.doi.org/10.1145/1316902.1316916 en
heal.publicationDate 2007 en
heal.abstract Topic directories are popular means of organizing information resources in the web. In this work, we introduce a methodology for personalizing topic directories. The key feature of our methodology is that the personalization is based on the mining of navigation patterns extracted from previous user visits. These patterns, expressed in the form of visited categories and retrieved resources, represent the navigation behaviour and interests of different users or user groups. Our work provides a set of mining tasks for user navigation patterns and a set of personalization tasks that customize the organization of the topic directory according to these patterns for certain user groups. en
heal.journalName International Conference on Information and Knowledge Management, Proceedings en
dc.identifier.doi 10.1145/1316902.1316916 en
dc.identifier.spage 81 en
dc.identifier.epage 88 en


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