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Communication Dans Un Congrès Année : 2005

Rank-ordering documents according to their relevance in information retrieval using refinements of ordered-weighted aggregations

Résumé

Classical information retrieval methods often lose valuable information when aggregating weights, which may diminish the discriminating power between documents. To cope with this problem, the paper presents an approach for ranking documents in IR, based on a vector-based ordering technique already considered in fuzzy logic for multiple criteria analysis purpose. Moreover, the proposed approach uses a possibilistic framework for evaluating queries to a document collection, which distinguishes between descriptors that are certainly relevant and those which are possibly relevant only. The proposal is evaluated on a benchmark collection that allows us to compare the effectiveness of this approach with a classical one. The proposed method provides an improvement of the precision w.r.t Mercure IR system.

Dates et versions

hal-03367401 , version 1 (06-10-2021)

Identifiants

Citer

Mohand Boughanem, Yannick Loiseau, Henri Prade. Rank-ordering documents according to their relevance in information retrieval using refinements of ordered-weighted aggregations. Third International Workshop on Adaptive Multimedia Retrieval: User, Context, and Feedback (AMR 2005), Jul 2005, Glasgow, United Kingdom. pp.44-54, ⟨10.1007/11670834_4⟩. ⟨hal-03367401⟩
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