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Experiments on a Multinomial Language Model versus Lucene’s Off-the-Shelf Ranking Scheme and Rocchio Query Expansion (TEL@CLEF Monolingual Task)

  • Jorge Machado
  • Bruno Martins
  • José Borbinha
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5706)

Abstract

We describe our participation in the TEL@CLEF task of the CLEF 2008 ad-hoc track, where we measured the retrieval performance of the IR service that is currently under development as part of the DIGMAP project. DIGMAP’s IR service is mostly based on Lucene, together with extensions for using query expansion and multinomial language modelling. In our runs, we experimented combinations of query expansion, Lucene’s off-the-shelf ranking scheme and the ranking scheme based on multinomial language modelling. Results show that query expansion and multinomial language modelling both result in increased performance.

Keywords

Language Model Vector Space Model Lucene Rocchio QE Stemming 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jorge Machado
    • 1
  • Bruno Martins
    • 1
  • José Borbinha
    • 1
  1. 1.Departmento de Engenharia InformáticaTechnical University of LisbonPortugal

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