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. © 2009 Springer Berlin Heidelberg.
Cite
CITATION STYLE
Hopfgartner, F., & Jose, J. M. (2009). On user modelling for personalised news video recommendation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5535 LNCS, pp. 403–408). https://doi.org/10.1007/978-3-642-02247-0_44
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