We introduce a novel situation-aware approach to personal-ize 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.… (More)
—General Web search engines characterized by " one size 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's location. We believe that identifying user's geographic… (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)
In the past, most personalized retrieval models have been solely based on the computational behavior of the user (visited URL, viewed documents) to model the user profile independently of his changing environment (time, location, near persons, etc). In this paper we propose an approach to personalize Web search results for mobile users by exploiting both… (More)
In this poster, we propose to personalize the search results for mobile users by modeling the user on three semantic dimensions: time, location and interests. A case based reasoning approach (CBR) is adopted to select the appropriate user profile for re-ranking the search results. Our experiments show that our retrieval approach is effective.
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)
The goal of contextual information retrieval (CIR) is to better meet the user's needs by delivering him information adapted to his specific search context. This paper presents a CIR approach for the case of a mobile environment where the spatio-temporal context of the user and his cognitive context are taken into account to deliver him some relevant… (More)