Integrating user's profile in the query model for Social Information Retrieval

Abstract

Social Information Retrieval (SIR) exploits the user's social data in order to refine the retrieval, for instance in the case where users with different backgrounds may express different information needs as a same textual query. However, this additional source of information is not supported by the classical IR process. In this article, we propose an approach to generate the user profile from his social data. This generated profile is integrated within a SIR model allowing to personalize the list of documents returned to the user.