Using a Medical Thesaurus to Predict Query Difficulty - Archive ouverte HAL
Communication Dans Un Congrès Année : 2012

Using a Medical Thesaurus to Predict Query Difficulty

Résumé

Estimating query performance is the task of predicting the quality of results returned by a search engine in response to a query. In this paper, we focus on pre-retrieval prediction methods for the medical domain. We propose a novel predictor that exploits a thesaurus to as- certain how difficult queries are. In our experiments, we show that our predictor outperforms the state-of-the-art methods that do not use a thesaurus.
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Dates et versions

hal-00707691 , version 1 (13-06-2012)

Identifiants

  • HAL Id : hal-00707691 , version 1

Citer

Florian Boudin, Jian-Yun Nie, Martin Dawes. Using a Medical Thesaurus to Predict Query Difficulty. 34th European Conference on Information Retrieval (ECIR), Apr 2012, Barcelone, Spain. pp.480-484. ⟨hal-00707691⟩
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