Castells, Pablo; Fernandez, Miriam; Vallet, David; Mylonas, Phivos and Avrithis, Yannis
(2005).
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| DOI (Digital Object Identifier) Link: | https://doi.org/10.1007/11575863_119 |
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| Google Scholar: | Look up in Google Scholar |
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 | ||||||
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| Copyright Holders: | 2005 Springer Verlag | ||||||
| ISSN: | 1611-3349 | ||||||
| Project Funding Details: |
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| Extra Information: | ISBN: 978-3-540-29739-0
Series: LNCS Vol 3762 p. 977-986 The original publication is available at www.springerlink.com |
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| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
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| Research Group: | Centre for Research in Computing (CRC) | ||||||
| Item ID: | 28603 | ||||||
| Depositing User: | Kay Dave | ||||||
| Date Deposited: | 17 May 2011 15:29 | ||||||
| Last Modified: | 02 May 2018 13:29 | ||||||
| URI: | http://oro.open.ac.uk/id/eprint/28603 | ||||||
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