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Personalized information retrieval in context

Vallet, David; Fernandez, Miriam; Castells, Pablo; Mylonas, Phivos and Avrithis, Yannis (2006). Personalized information retrieval in context. In: 3rd International Workshop on Modeling and Retrieval of Context (MRC 2006) at 21st National Conference on Artificial Intelligence (AAAI 2006), 16-20 Jul 2006, Boston, USA.

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Personalized content retrieval aims at improving the retrieval process by taking into account the particular interests of individual users. However, not all user preferences are relevant in all situations. It is well known that human preferences are complex, multiple, heterogeneous, changing, even contradictory, and should be understood in context with the user goals and tasks at hand. In this paper we propose a method to build a dynamic representation of the semantic context of ongoing retrieval tasks, which is used to activate different subsets of user interests at runtime, in such a way that out of context preferences are discarded. Our approach is based on an ontology-driven representation of the domain of discourse, providing enriched descriptions of the semantics involved in retrieval actions and preferences, and enabling the definition of effective means to relate preferences and context.

Item Type: Conference or Workshop Item
Copyright Holders: 2006 Unknown, 2006 Compilation copyright, American Association for Artificial Intelligence
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetEuropean Commission [FP6-001765 – aceMedia]
Not SetNot SetSpanish Ministry of Science and Education [TIN2005-06885]
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 28598
Depositing User: Kay Dave
Date Deposited: 17 May 2011 10:23
Last Modified: 15 Dec 2018 09:45
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