Ourdia Bouidghaghen

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General Web search engines characterized by "onesize fits all" provide the same results for the same keyword queries even though these latter are submitted by different users with different intentions. In mobile Web search, the expected results for some queries could vary depending upon the user'slocation. We believe that identifying user's geographic(More)
We introduce a novel situation-aware approach to personalize search results for mobile users. By providing a mobile user with appropriate information that dynamically satisfies his interests according to his situation, we tackle the problem of information overload. To build situation-aware user profile we rely on evidence issued from retrieval situations. A(More)
In the past, most personalized retrieval models have been solely based on the computational behavior of the user to model the user profile. Personalized mobile search should however take the changing environment of the mobile user into account in order to better improve the search results quality. In this paper we propose an approach to personalize search(More)
The paper presents a preliminary investigation of potential methods for extracting semantic views of text contents, which go beyond standard statistical indexation. The aim is to build kinds of fuzzily weighted structured images of semantic contents. A preliminary step consists in identifying the different types of relations (is-a, part-of, related-to,(More)
RÉSUMÉ. Dans le passé, les modèles de recherche personnalisés ont été principalement fondés sur le contexte cognitif (Url visitées, les documents vus) de l’utilisateur indépendamment de son environnement caractérisé par le lieu, le temps, les personnes proches, etc. Dans cet article nous proposons une approche de personnalisation des résultats de recherche(More)
The mobile user differs from the desktop user in that his handheld device is truly personal. It roams with him and allows him access to information at any time from anywhere. Contextual information access in mobile environments aims to tackle the problem of information overload by providing appropriate results according to the resource constraints on the(More)