SBS 2016 : Combining Query Expansion Result and Books Information Score for Book Recommendation SBS 2016 :

Abstract : In this paper, we present our contribution in Suggestion Track at the Social Book Search Lab. This track aims to develop test collections for evaluating ranking effectiveness of book retrieval and rec-ommender systems. In our experiments, we combine the results of Sequential Dependence Model (SDM) and the books information that includes the price, the number Of P ages and the publication Date. We also expand topics' queries by the similar books information to improve the recommendation performance.
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Contributor : Amal Htait <>
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Amal Htait, Sébastien Fournier, Patrice Bellot. SBS 2016 : Combining Query Expansion Result and Books Information Score for Book Recommendation SBS 2016 : . CLEF 2016, Sep 2016, Evora, Portugal. ⟨hal-01771664⟩

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