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In this paper, we present our contribution in INEX 2015 Social Book Search Track. This track aims to exploit social information (users reviews, ratings, etc. . . ) from LibraryThing and Amazon collections. We used traditional information retrieval models, namely, InL2 and the Sequential Dependence Model (SDM) and tested their combination. We integrated tools from natural language processing (NLP) and approaches based on graph analysis to improve the recommendation performances.  23 mars 2016, 06:43 Ivan Monnier