UMBC ebiquity

Personalized Information Retrieval in Context

Speaker: David Vallet

Start: Tuesday, September 05, 2006, 11:15AM

End: Tuesday, September 05, 2006, 10:50AM

Location: ITE 325b

Abstract: 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. 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.

Tags: information retrieval, context



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