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. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., & Johnson, D. (2005). Terrier information retrieval platform. In Lecture Notes in Computer Science (Vol. 3408, pp. 517–519). Springer Verlag. https://doi.org/10.1007/978-3-540-31865-1_37
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