Terrier information retrieval platform

Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C. and Johnson, D. (2005) Terrier information retrieval platform. Lecture Notes in Computer Science, 3405, pp. 517-519. (doi:10.1007/b107096)

Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C. and Johnson, D. (2005) Terrier information retrieval platform. Lecture Notes in Computer Science, 3405, pp. 517-519. (doi:10.1007/b107096)

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Publisher's URL: http://dx.doi.org/10.1007/b107096

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.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:He, Mr Ben and Macdonald, Dr Craig and Ounis, Professor Iadh
Authors: Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., and Johnson, D.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Lecture Notes in Computer Science
Publisher:Springer
ISSN:1611-3349
Copyright Holders:Copyright © 2005 Springer
First Published:First published in Lecture Notes in Computer Science 3405:517-519
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.

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