Mining user navigation patterns for personalizing topic directories

Dalamagas, T; Bouros, P; Galanis, T; Eirinaki, M; Sellis, T

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