Mohamed Reda Bouadjenek

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We propose a new approach for social and personalized query expansion using social structures in the Web 2.0. While focusing on social tagging systems, the proposed approach considers (i) the semantic similarity between tags composing a query, (ii) a social proximity between the query and the user profile, and (iii) on the fly, a strategy for expanding user(More)
We present in this paper a contribution to IR modeling by proposing a new ranking function called SoPRa that considers the social dimension of the Web. This social dimension is any social information that surrounds documents along with the social context of users. Currently, our approach relies on folksonomies for extracting these social contexts, but it(More)
In this paper, we present a contribution to IR modeling. We propose an approach that computes on the fly, a Personalized Social Document Representation (PSDR) of each document per user based on his social activities. The PSDRs are used to rank documents with respect to a query. This approach has been intensively evaluated on a large public dataset, showing(More)
In this paper, we introduce LAICOS, a social Web search engine as a contribution to the growing area of Social Information Retrieval (SIR). Social information and personalization are at the heart of LAICOS. On the one hand, the social context of documents is added as a layer to their textual content traditionally used for indexing to provide Personalized(More)
In order to measure and assess the quality of GIS, there exist a sparse offer of tools, providing specific functions with their own interest but are not sufficient to deal with broader user's requirements. Interoperability of these tools remains a technical challenge because of the heterogeneity of their models and access patterns. On the other side,(More)
In this paper, we investigate the influence of term selection on retrieval performance on the CLEF-IP prior art test collection, using the Description section of the patent query with Language Model (LM) and BM25 scoring functions. We find that an oracular relevance feedback system that extracts terms from the judged relevant documents far outperforms the(More)
The data quality market is characterized by a sparse offer of tools, providing specific functions that have their own interest but are not sufficient to deal with broader user's requirements. Interoperating among these tools remains a technical challenge because of the heterogeneity of their models and access patterns. On the other side, quality analysts(More)
In this paper we address the problem of queries expansion and its personalization which consists of enriching user queries with additional information to maximize her satisfaction according to, e.g., her interests and her social ecosystem. While focusing on tagging systems, the proposed approach considers (i) the semantic similarity between tags composing a(More)
There is currently a number of research work performed in the area of bridging the gap between Information Retrieval (IR) and Online Social Networks (OSN). This is mainly done by enhancing the IR process with information coming from social networks, a process called Social Information Retrieval (SIR). The main question one might ask is What would be the(More)