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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, in 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
Conference title
9th International Workshop of the Inititative for the Evaluation of XML Retrieval, INEX 2010
Conference date
2010-12
Conference city
Vught
Conference country
Pays-Bas
Book title
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
Book author
Geva, Shlomo; Kamps, Jaap; Schenkel, Ralf; Trotman, Andrew
Publisher
Springer
Series title
Lecture Notes in Computer Science
Series number
6932
Published in
Berlin
ISBN
978-3-642-23576-4
Number of pages
398
Pages
44-53
Publication identifier
http://dx.doi.org/10.1007/978-3-642-23577-1_3
Metadata
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Author(s)
Beigbeder, Michel
Géry, Mathias
Largeron, Christine
Seck, Howard
Abstract (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.
Subjects / Keywords
focused information retrieval; learnt tag weights; proximity of the query terms in the documents

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