Terrier information retrieval platform

Authors:
Iadh Ounis;Gianni Amati;Vassilis Plachouras;Ben He;Craig Macdonald;Douglas Johnson
Affiliations:
University of Glasgow, Glasgow, UK;University of Glasgow, Glasgow, UK;University of Glasgow, Glasgow, UK;University of Glasgow, Glasgow, UK;University of Glasgow, Glasgow, UK;University of Glasgow, Glasgow, UK
Venue:
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Year:
2005

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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.