For other uses of "TREC", see TREC (disambiguation).
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Text REtrieval Conference
...to encourage research in information retrieval from large text collections.
Abbreviation
TREC
Discipline
information retrieval
Publication details
Publisher
NIST
History
1992; 32 years ago (1992)
Frequency
annual
Website
trec.nist.gov
The Text REtrieval Conference (TREC) is an ongoing series of workshops focusing on a list of different information retrieval (IR) research areas, or tracks. It is co-sponsored by the National Institute of Standards and Technology (NIST) and the Intelligence Advanced Research Projects Activity (part of the office of the Director of National Intelligence), and began in 1992 as part of the TIPSTER Text program. Its purpose is to support and encourage research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies and to increase the speed of lab-to-product transfer of technology.
TREC's evaluation protocols have improved many search technologies. A 2010 study estimated that "without TREC, U.S. Internet users would have spent up to 3.15 billion additional hours using web search engines between 1999 and 2009."[1] Hal Varian the Chief Economist at Google wrote that "The TREC data revitalized research on information retrieval. Having a standard, widely available, and carefully constructed set of data laid the groundwork for further innovation in this field."[2]
Each track has a challenge wherein NIST provides participating groups with data sets and test problems. Depending on track, test problems might be questions, topics, or target extractable features. Uniform scoring is performed so the systems can be fairly evaluated. After evaluation of the results, a workshop provides a place for participants to collect together thoughts and ideas and present current and future research work.Text Retrieval Conference started in 1992, funded by DARPA (US Defense Advanced Research Project) and run by NIST. Its purpose was to support research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies.
^Brent R. Rowe; Dallas W. Wood; Albert N. Link; Diglio A. Simoni (July 2010). "Economic Impact Assessment of NIST's Text REtrieval Conference (TREC) Program" (PDF). RTI International.
^Hal Varian (March 4, 2008). "Why data matters".
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