Terrier Information Retrieval Platform
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TL;DR
Terrier is a modular platform for the rapid development of large-scale Information Retrieval (IR) applications that can index various document collections, including TREC and Web collections and offers a range of document weighting and query expansion models, based on the Divergence From Randomness framework.
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.