<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>9182</REFNUM><AUTHORS><AUTHOR>Hopfgartner,F.</AUTHOR><AUTHOR>Jose,J.M.</AUTHOR></AUTHORS><YEAR>2009</YEAR><TITLE>On User Modelling for Personalised News Video Recommendation</TITLE><PLACE_PUBLISHED>UMAP'09 - Proceedings of the Seventeenth International Conference on User Modeling, Adaptation, and Personalization, Trento, Italy</PLACE_PUBLISHED><PUBLISHER>Springer Verlag</PUBLISHER><PAGES>403-408</PAGES><LABEL>Hopfgartner:2009:9182</LABEL><ABSTRACT>In this paper, we introduce a novel approach for modelling user interests. Our approach captures users evolving information needs, identifies aspects of their need and recommends relevant news items to the users. We introduce our approach within the context of personalised news video retrieval. A news video data set is used for experimentation. We employ a simulated user evaluation.</ABSTRACT></RECORD></RECORDS></XML>