This paper describes the work achieved by the MRIM research group of Grenoble, using some data from the LaHC of Saint-´ Etienne, in a way to test personalized retrieval of books for the Social Book Search Lab of CLEF 2015. Our proposal rely on a biased fusion of content-only retrieval, using BM25F and LGD retrieval models, user non-social profile based on the catalog of the requester, and social profiles using user/user links generated from their catalogs and ratings on books. The official results obtained show a clear positive impact of user profile, and a small positive impact of the social elements we used. Post official results that present non biased fusion scores are also presented.