Seminaire Zenith
5/7/2013, 11h salle 127 Galera
Approaches and Algorithms for Information Retrieval Based On Social Network Analysis/Mining.
Mohamed Reda Bouadjenek – Laboratoire PRiSM, Université de Versailles-Saint-Quentin-en-Yvelines
Abstract. The Web 2.0 has introduced a new freedom for the user in his relation with the Web by facilitating his interactions with other users who have similar tastes. Social platforms and networks are certainly the most adopted technologies in this new era. These platforms allow to interact with peers, exchange messages, share resources, etc. These so called “collaborative tasks” result in huge quantities of generated data. From the research perspective, this brings important and interesting challenges for many research fields.
In such a context, a crucial problem is to enable users to find relevant information with respect to their interests and needs. This task is commonly referred to as Information Retrieval (IR). However, classic models of IR don’t consider the social dimension of the Web. Consequently, these classic models of IR and even the IR paradigm should be adapted to the socialization of the Web, in order to fully leverage the social context that surround web pages and users. This talk presents three methods as an illustration of our contributions in this direction on: (i) query expansion, (ii) documents modeling, and (iii) results ranking. All the presented approaches are based on social annotations as source of social information, which are extracted from folksonomies.
