Vallet, D.; Castells, P.; Fernandez, M.; Mylonas, P. and Avrithis, Y.
Personalized content retrieval in context using ontological knowledge.
IEEE Transactions on Circuits and Systems for Video Technology, 17(3) pp. 336–346.
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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 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.
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||content search and retrieval; context modeling; ontology; personalization
||Knowledge Media Institute
|Interdisciplinary Research Centre:
||Centre for Research in Computing (CRC)
||26 Apr 2011 10:04
||24 Feb 2016 07:36
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