Contextualization, user modeling and personalization in the social web [Elektronische Ressource] : from social tagging via context to cross-system user modeling and personalization / Fabian Abel

Contextualization, User Modeling andPersonalization in the Social WebFrom Social Tagging via Context to Cross-System UserModeling and PersonalizationVon der Fakultat fur Elektrotechnik und Informatik der Gottfried Wilhelm Leibniz Universitat Hannoverzur Erlangung des GradesDoktor der NaturwissenschaftenDr. rer. nat.genehmigte DissertationvonFabian Abelgeboren am 8. Juli 1980 in Hannover, Deutschland2011Kommission:Referentin: Prof. Dr. Nicola HenzeKorreferent: Prof. Dr. Wolfgang Nejdltin: Prof. Dr. Cristina BaroglioTag der Promotion: 20. April 2011AbstractSocial Web stands for the culture of participation and collaboration on the Web. Struc-tures emerge from social interactions: social tagging enables a community of users toassign freely chosen keywords to Web resources. The structure that evolves from so-cial tagging is called folksonomy and recent research has shown that the exploitation offolksonomy structures is bene cial to information systems.In this thesis we propose models that better capture usage context of social tagging anddevelop two folksonomy systems that allow for the deduction of contextual informationfrom tagging activities. We introduce a suite of ranking algorithms that exploit con-textual information embedded in folksonomy structures and prove that these context-sensitive ranking algorithms signi cantly improve search in Social Web systems.