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)

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, Professor 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.