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.
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Hopfgartner, F., Jose, J.M. (2009). On User Modelling for Personalised News Video Recommendation. In: Houben, GJ., McCalla, G., Pianesi, F., Zancanaro, M. (eds) User Modeling, Adaptation, and Personalization. UMAP 2009. Lecture Notes in Computer Science, vol 5535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02247-0_44
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DOI: https://doi.org/10.1007/978-3-642-02247-0_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02246-3
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