On User Modelling for Personalised News Video Recommendation

Authors:
Frank Hopfgartner;Joemon M. Jose
Affiliations:
Department of Computing Science, University of Glasgow, Glasgow, United Kingdom;Department of Computing Science, University of Glasgow, Glasgow, United Kingdom
Venue:
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Year:
2009

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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.