<XML><RECORDS><RECORD><REFERENCE_TYPE>3</REFERENCE_TYPE><REFNUM>7967</REFNUM><AUTHORS><AUTHOR>Ounis,I.</AUTHOR><AUTHOR>Amati,G.</AUTHOR><AUTHOR>Plachouras,P.</AUTHOR><AUTHOR>He,B.</AUTHOR><AUTHOR>Macdonald,M.</AUTHOR><AUTHOR>Johnson,D.</AUTHOR></AUTHORS><YEAR>2005</YEAR><TITLE>Terrier Information Retrieval Platform</TITLE><PLACE_PUBLISHED> </PLACE_PUBLISHED><PUBLISHER>Springer Verlag</PUBLISHER><PAGES>517--519</PAGES><ISBN>3-540-25295-9</ISBN><LABEL>Ounis:2005:7967</LABEL><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 successfullyused for ad-hoc retrieval, cross-language retrieval, Web IR and intranet search, in a centralised or distributed setting. </ABSTRACT><URL>http://ir.dcs.gla.ac.uk/terrier/publications/ounis05terrier.pdf</URL></RECORD></RECORDS></XML>