Suggestion contextuelle composite
نویسندگان
چکیده
Contextual suggestion aims to provide a user with venues that are relevant to his/her preferences and context. Most existing approaches only take into account those two features in order to build their suggestion list. However, research in recommender systems recently stressed the importance of diversified suggestions. This paper introduces a novel model for contextual suggestion based on composite retrieval, which consists of regrouping suggestions into different, topically cohesive bundles. The evaluation conducted through the TREC 2013 and 2014 Contextual Suggestion track shows that our approach is competitive and improves diversity within suggestions without degrading relevance. MOTS-CLÉS : Suggestion contextuelle, Recherche composite, Grappe, Diversité.
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