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Journals and Conferences
Data Set Used
This paper describes experiments carried out with the XFIRM system in the INEX 2005 framework. The XFIRM system uses a relevance propagation method to answer CO and CAS queries. Runs were submitted to the ad-hoc and relevance feedback tracks.
The increasing prominence of information arising from a wide range of sources delivered over electronic media has made traditional information retrieval systems less effective. Indeed, users are overwhelmed by the information delivered by such systems in response to their queries, particularly when the latter are ambiguous. In order to tackle this problem,… (More)
This paper proposes a model for Information Retrieval (IR) based on possibilistic directed networks. Relations documents-terms and query-terms are modeled through possibility and necessity measures rather than a probability measure. The relevance value for the document given the query is measured by two degrees: the necessity and the possibility. More… (More)
Traditional search engines return ranked lists of search results. It is up to the user to scroll this list, scan within different documents, and assemble information that fulfill his/her information need. <i>Aggregated search</i> represents a new class of approaches where the information is not only retrieved but also assembled. This is the current… (More)
This paper deals with flexible information retrieval. A method of partial relevance feedback is presented. Users give partial preference to document retrieved by the system. Experiments carried out on the TREC10 test collection showed the effectiveness of the method.
Within the information overload on the web and the diversity of the user interests, it is increasingly difficult for search engines to satisfy the user information needs. Personalized search tackles this problem by considering the user profile during the search. This paper describes a personalized search approach involving a semantic graph-based user… (More)
It is now widely assumed in personalized information retrieval (IR) area that user interests can provide substantial clues for document relevance estimation. User interests reflect generally the user background and topics of interests. However most of the proposed personalized retrieval models and strategies do not distinguish between short term and long… (More)
This paper presents a novel retrieval approach for literature access based on social network analysis. In fact, we investigate a social model where authors represent the main entities and relationships are extracted from co-author and citation links. Moreover, we define a weighting model for social relationships which takes into account the authors… (More)