Hopfgartner, F. and Jose, J.M. (2009) On User Modelling for Personalised News Video Recommendation. In: First and Seventeenth International Conference on User Modeling, Adaptation, and Personalization, Trento, Italy, pp. 403-408. ISBN 9783642022470 (doi: 10.1007/978-3-642-02247-0_44)
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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.
| Item Type: | Conference Proceedings |
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| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Jose, Professor Joemon and Hopfgartner, Dr Frank |
| Authors: | Hopfgartner, F., and Jose, J.M. |
| Subjects: | Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| College/School: | College of Arts & Humanities > School of Humanities > Information Studies College of Science and Engineering > School of Computing Science |
| Research Group: | Information Retrieval |
| ISSN: | 0302-9743 |
| ISBN: | 9783642022470 |
| Copyright Holders: | Copyright © 2009 Springer-Verlag Berlin Heidelberg |
| First Published: | First published in User Modeling, Adaptation, and Personalization: 403-408 |
| Publisher Policy: | Reproduced in accordance with the copyright policy of the publisher |
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