Un modèle général de recherche d?information :
Application à la recherche de documents techniques par des professionnels

Abstract : In the information retrieval (IR) task, characteristics related to the context of the user search induce some needs it is necessary to take into account in the modeling of the IR system. In this work we consider that the user has a memory about the documents he wants to find: his need consists of a description of the ideal document w.r.t his memory of the content of these documents. In the aim to tackle this need, we propose an information retrieval model based on (i) a complex language (inter-connected entities with multiple use of the same entity to describe the document and the user query), (ii) additional criteria on query terms, focusing on obligation/optionality, and certainty/uncertainty, in order to express user doubts and its vague needs, and (iii) a matching function which takes into account constraints related to the document/query representation, as well as a query reformulation approach based on characteristics of documents that are considered relevant by the user. This model is applied thereafter within a concrete application: graphics retrieval by professionals in technical documentation. Through this application, we compare our model with classical IR models in order to validate our approach (e.g. obligation/optionality, and certainty/uncertainty criteria).
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https://tel.archives-ouvertes.fr/tel-00300459
Contributor : Leila Kefi-Khelif <>
Submitted on : Friday, July 18, 2008 - 1:33:30 PM
Last modification on : Saturday, January 27, 2018 - 1:30:57 AM
Long-term archiving on : Monday, May 31, 2010 - 6:44:46 PM

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  • HAL Id : tel-00300459, version 1

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Leila Kefi-Khelif. Un modèle général de recherche d?information :
Application à la recherche de documents techniques par des professionnels. Autre [cs.OH]. Université Joseph-Fourier - Grenoble I, 2006. Français. ⟨tel-00300459⟩

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