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Tuning and Evolving Retrieval Engine by Training on Previous INEX Testbeds

  • Gilles Hubert
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4518)

Abstract

This paper describes the retrieval approach proposed by the SIG/EVI group of the IRIT research centre at INEX’2006. This XML approach is based on direct contribution of the components constituting an information need. This paper focuses on the impact of changes between INEX’2005 and INEX’2006 notably the corpus change. This paper describes the search engine configurations and evolutions resulting from training on previous INEX testbeds and used to participate to INEX’2006. It presents also the results of the official experiments carried out at INEX’2006 and additional results.

Keywords

Structural Constraint Query Term Vector Space Model Information Retrieval System Aggregate Score 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Gilles Hubert
    • 1
  1. 1.IRIT/SIG-EVI, 118 route de Narbonne, F-31062 Toulouse cedex 9 

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