Browsing by Subject "verbose query reduction"
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In : Rapports de recherche internes, (CERIST, Alger, 2016-07)In this paper, we describe our participation in the INEX 2016 Social Book Search Suggestion Track (SBS). We have exploited machine learning techniques to rank query terms and assign an appropriate weight to each one before applying a probabilistic information retrieval model (BM15). Thereafter, only the top-k terms are ...