Self-tuning Personalized Information Retrieval in an Ontology-Based Framework

Castells, Pablo; Fernandez, Miriam; Vallet, David; Mylonas, Phivos and Avrithis, Yannis (2005). Self-tuning Personalized Information Retrieval in an Ontology-Based Framework. In: On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops, pp. 977–986.

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DOI (Digital Object Identifier) Link:	https://doi.org/10.1007/11575863_119
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Abstract

Reliability is a well-known concern in the field of personalization technologies. We propose the extension of an ontology-based retrieval system with semantic-based personalization techniques, upon which automatic mechanisms are devised that dynamically gauge the degree of personalization, so as to benefit from adaptivity but yet reduce the risk of obtrusiveness and loss of user control. On the basis of a common domain ontology KB, the personalization framework represents, captures and exploits user preferences to bias search results towards personal user interests. Upon this, the intensity of personalization is automatically increased or decreased according to an assessment of the imprecision contained in user requests and system responses before personalization is applied.

Item Type:	Conference or Workshop Item
Copyright Holders:	2005 Springer Verlag
ISSN:	1611-3349
Project Funding Details:	Funded Project Name Project ID Funding Body Not Set Not Set European Commission under contract FP6- 001765 aceMedia
Extra Information:	ISBN: 978-3-540-29739-0 Series: LNCS Vol 3762 p. 977-986 The original publication is available at www.springerlink.com
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:	28603
Depositing User:	Kay Dave
Date Deposited:	17 May 2011 15:29
Last Modified:	05 Oct 2016 04:56
URI:	http://oro.open.ac.uk/id/eprint/28603
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