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Conference papers

Context-based Hybrid Method for User Query Expansion

Abstract : Today, there is a real challenge in accessing relevant information on the Web according to the user's needs and the context. There are always certain needs behind the user query and these queries are often ambiguous and shortened (especially in the case of mobile users), thus we need to handle the user queries intelligently to provide personalized results in a particular context. For improving user query processing, we present a context-based hybrid method for query expansion that automatically generates context-related terms. It considers the context as the actual state of the task that the user is undertaking when the information retrieval process takes place. The method uses the UML state diagram for modeling the current task and for detecting the transitions at time intervals with the task state changes. Furthermore, we introduce a new concept of SRQ (State Reformulated Queries), which is used to reformulate queries according to the user task context and the ontological user profile. Using experimental study, our approach has proved its relevance for certain contexts, the preliminary results are promising.
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Conference papers
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https://hal-supelec.archives-ouvertes.fr/hal-00544202
Contributor : Evelyne Faivre <>
Submitted on : Tuesday, December 7, 2010 - 2:52:27 PM
Last modification on : Wednesday, September 16, 2020 - 5:21:22 PM

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  • HAL Id : hal-00544202, version 1

Citation

Ounas Asfari, Bich-Liên Doan, Yolaine Bourda, Jean-Paul Sansonnet. Context-based Hybrid Method for User Query Expansion. Fourth International Conference on Advances in Semantic Processing. SEMAPRO 2010, Oct 2013, Florence, Italy. pp.69-74. ⟨hal-00544202⟩

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