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A multi-purpose ontology-based approach for personalised content filtering and retrieval

Cantador, Iván; Fernandez, Miriam; Vallet, David; Castells, Pablo; Picault, Jérôme and Ribière, Myriam (2008). A multi-purpose ontology-based approach for personalised content filtering and retrieval. Studies in Computational Intelligence, 93 pp. 25–51.

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Personalised multimedia access aims at enhancing the retrieval process by complementing explicit user requests with implicit user preferences. We propose and discuss the benefits of the introduction of ontologies for an enhanced representation of the relevant knowledge about the user, the context, and the domain of discourse, as a means to enable improvements in the retrieval process and the performance of adaptive capabilities. We develop our proposal by describing techniques in several areas that exemplify the exploitation of the richness and power of formal and explicit semantics descriptions, and the improvements therein. In addition, we discuss how those explicit semantics can be learnt automatically from the analysis of the content consumed by a user, determining which concepts appear to be significant for the user’s interest representation. The introduction of new preferences on the user profile should correspond to heuristics that provide a trade-off between consistency and persistence of the user’s implicit interests.

Item Type: Article
Copyright Holders: 2008 Springer-Verlag Berlin Heidelberg
ISSN: 1860-949X
Extra Information: Volume title: Advances in Semantic Media Adaptation and Personalization
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Centre for Policing Research and Learning (CPRL)
Item ID: 26163
Depositing User: Kay Dave
Date Deposited: 13 Jan 2011 13:03
Last Modified: 04 Oct 2016 10:54
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