Terrier Information Retrieval Platform

  • Iadh Ounis
  • Gianni Amati
  • Vassilis Plachouras
  • Ben He
  • Craig Macdonald
  • Douglas Johnson
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3408)

Abstract

Terrier is a modular platform for the rapid development of large-scale Information Retrieval (IR) applications. It can index various document collections, including TREC and Web collections. Terrier also offers a range of document weighting and query expansion models, based on the Divergence From Randomness framework. It has been successfully used for ad-hoc retrieval, cross-language retrieval, Web IR and intranet search, in a centralised or distributed setting.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Iadh Ounis
    • 1
  • Gianni Amati
    • 1
  • Vassilis Plachouras
    • 1
  • Ben He
    • 1
  • Craig Macdonald
    • 1
  • Douglas Johnson
    • 1
  1. 1.University of GlasgowGlasgowUK

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