Semantic User Modelling for Personal News Video Retrieval

Hopfgartner, F. and Jose, J. (2010) Semantic User Modelling for Personal News Video Retrieval. In: MMM 2010: 16th International Multimedia Modeling Conference, Chongqing, China, 6-8 Jan 2010, pp. 336-346. ISBN 9783642113000 (doi: 10.1007/978-3-642-11301-7_35)

Abstract

There is a need for personalised news video retrieval due to the explosion of news materials available through broadcast and other channels. In this work we introduce a semantic based user modeling technique to capture the users’ evolving information needs. Our approach exploits the Linked Open Data Cloud to capture and organise users’ interests. The organised interests are used to retrieve and recommend news stories to users. The system monitors user interaction with its interface and uses this information for capturing their evolving interests in the news. New relevant materials are fetched and presented to the user based on their interests. A user-centred evaluation was conducted and the results show the promise of our approach.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jose, Professor Joemon and Hopfgartner, Dr Frank
• Authors: Hopfgartner, F., and Jose, J.
• Subjects: 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
• ISSN: 0302-9743
• ISBN: 9783642113000
• Copyright Holders: Copyright © 2010 Springer-Verlag Berlin Heidelberg
• First Published: First published in Advances in Multimedia Modeling: 336-346
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher