Abstract : In the article, we describe our participation in the INEX 201 4 Social Book Search track. We present the different approaches expl oiting user social information such as reviews, tags and ratings. These social informations are as- signed by users to the books. We optimize our models using the INEX Social Book Search 2013 collection and we test them on the INEX 2014 S ocial Book Search track.
https://hal-emse.ccsd.cnrs.fr/emse-01065822 Contributor : Florent BreuilConnect in order to contact the contributor Submitted on : Thursday, September 18, 2014 - 3:41:26 PM Last modification on : Monday, June 27, 2022 - 3:06:34 AM
Meriem Hafsi, Mathias Géry, Michel Beigbeder. LaHC at INEX 2014: Social Book Search Track. CLEF 2014, Sep 2014, Sheffield, United Kingdom. 7p. ⟨emse-01065822⟩