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

Beigbeder, Michel; Géry, Mathias; Largeron, Christine; Seck, Howard (2011), ENSM-SE and UJM at INEX 2010: Scoring with Proximity and Tag Weights, dans Geva, Shlomo; Kamps, Jaap; Schenkel, Ralf; Trotman, Andrew, Comparative Evaluation of Focused Retrieval 9th International Workshop of the Inititative for the Evaluation of XML Retrieval, INEX 2010, Vught, The Netherlands, December 13-15, 2010, The Netherlands, Revised Selected Papers, Springer : Berlin, p. 44-53. http://dx.doi.org/10.1007/978-3-642-23577-1_3

Type
Communication / Conférence
Date
2011
Titre du colloque
9th International Workshop of the Inititative for the Evaluation of XML Retrieval, INEX 2010
Date du colloque
2010-12
Ville du colloque
Vught
Pays du colloque
Pays-Bas
Titre de l'ouvrage
Comparative Evaluation of Focused Retrieval 9th International Workshop of the Inititative for the Evaluation of XML Retrieval, INEX 2010, Vught, The Netherlands, December 13-15, 2010, The Netherlands, Revised Selected Papers
Auteurs de l’ouvrage
Geva, Shlomo; Kamps, Jaap; Schenkel, Ralf; Trotman, Andrew
Éditeur
Springer
Titre de la collection
Lecture Notes in Computer Science
Numéro dans la collection
6932
Ville d’édition
Berlin
Isbn
978-3-642-23576-4
Nombre de pages
398
Pages
44-53
Identifiant publication
Métadonnées
Afficher la notice complète
Auteur(s)
Beigbeder, Michel
Géry, Mathias
Largeron, Christine
Seck, Howard
Résumé (EN)
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.
Mots-clés
focused information retrieval; learnt tag weights; proximity of the query terms in the documents