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Personnalisation de l'information : une approche de gestion de profils et de reformulation de requêtes

Abstract : This thesis contains two parts. The first one is a study of the state of the art on data personalization and a proposition of a user profile model. The second one is a focus on a specific problem which is the query reformulation using profile knowledge.
The goal of personalization is to facilitate the expression of the need for a particular user and to enable him to obtain relevant information when he accesses an information system. The relevance of the information is defined by a set of criteria and preferences specific to each user or community of users. These criteria describe the user's domain of interest, the quality level of the data he is looking for or the modalities of the presentation of this data. The data describing the users is often gathered in the form of profiles. In this thesis we propose a generic and extensible model of profile, which enables the classification of the profile's contents.
Personalization may occur in each step of the query life cycle. The second contribution of this thesis is the study of two query reformulation approaches based on algorithms for query enrichment and query rewriting and the proposition of an advanced query reformulation approach. The three reformulation approaches are evaluated on a benchmark described in the thesis.
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Submitted on : Monday, September 22, 2008 - 2:16:20 PM
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  • HAL Id : tel-00323543, version 1



Dimitre Kostadinov. Personnalisation de l'information : une approche de gestion de profils et de reformulation de requêtes. Interface homme-machine [cs.HC]. Université de Versailles-Saint Quentin en Yvelines, 2007. Français. ⟨tel-00323543⟩



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