ENSM-SE and UJM at INEX 2010: Scoring with Proximity and Tag Weights

Michel Beigbeder 1 Mathias Géry 2 Christine Largeron 2 Howard Seck 3
1 ISCOD-ENSMSE - Département Informatique pour les Systèmes Coopératifs Ouverts et Décentralisés
2 LHC - Laboratoire Hubert Curien [Saint Etienne]
3 UP9 - Université Paris 9, Dauphine
Abstract : This paper presents our participation in the Relevant in Context task (ad-hoc track) during the 2010 INEX competition, and a posterior analysis. Two models presented in previous editions of INEX by the authors were merged for our 2010 participation. The first one is based on the proximity of the query terms in the documents [1] and the second one is based on learnt tag weights [2]. The results demonstrate the improvement of focused information retrieval, thanks to the integration of the tag weights in the approach based on proximity.
Type de document :
Chapitre d'ouvrage
Comparative Evaluation of Focused Retrieval, Springer Berlin / Heidelberg, pp.Pages 44 - 53, 2011, 〈10.1007/978-3-642-23577-1_3〉
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https://hal-emse.ccsd.cnrs.fr/emse-00674287
Contributeur : Florent Breuil <>
Soumis le : lundi 27 février 2012 - 09:32:39
Dernière modification le : mardi 23 octobre 2018 - 14:36:09

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UNIV-ST-ETIENNE | ISCOD-ENSMSE | FAYOL-ENSMSE | ISCODE-ENSMSE | UR-LSTI-ENSMSE | EMSE | LAHC | PSL | IOGS | PARISTECH

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Michel Beigbeder, Mathias Géry, Christine Largeron, Howard Seck. ENSM-SE and UJM at INEX 2010: Scoring with Proximity and Tag Weights. Comparative Evaluation of Focused Retrieval, Springer Berlin / Heidelberg, pp.Pages 44 - 53, 2011, 〈10.1007/978-3-642-23577-1_3〉. 〈emse-00674287〉

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