View source for TREC

{{Event series
|Acronym=TREC
|Type=Conference
|has Bibliography=dblp.uni-trier.de/db/conf/trec/
|Title=Text Retrieval Conference
|Field=Data mining
|Homepage=trec.nist.gov
}}
The Text REtrieval Conference (TREC), co-sponsored by the National Institute of Standards and Technology (NIST) and U.S. Department of Defense, was started in 1992 as part of the TIPSTER Text program. Its purpose was to support research within the information retrieval community by providing the infrastructure necessary for large-scale evaluation of text retrieval methodologies. In particular, the TREC workshop series has the following goals:

* to encourage research in information retrieval based on large test collections; 
* to increase communication among industry, academia, and government by creating an open forum for the 
exchange of research ideas;
* to speed the transfer of technology from research labs into commercial products by demonstrating 
substantial improvements in retrieval methodologies on real-world problems; and
* to increase the availability of appropriate evaluation techniques for use by industry and academia, 
including development of new evaluation techniques more applicable to current systems. 

TREC is overseen by a program committee consisting of representatives from government, industry, and academia. For each TREC, NIST provides a test set of documents and questions. Participants run their own retrieval systems on the data, and return to NIST a list of the retrieved top-ranked documents. NIST pools the individual results, judges the retrieved documents for correctness, and evaluates the results. The TREC cycle ends with a workshop that is a forum for participants to share their experiences.

This evaluation effort has grown in both the number of participating systems and the number of tasks each year. Ninety-three groups representing 22 countries participated in TREC 2003. The TREC test collections and evaluation software are available to the retrieval research community at large, so organizations can evaluate their own retrieval systems at any time. TREC has successfully met its dual goals of improving the state-of-the-art in information retrieval and of facilitating technology transfer. Retrieval system effectiveness approximately doubled in the first six years of TREC.

TREC has also sponsored the first large-scale evaluations of the retrieval of non-English (Spanish and Chinese) documents, retrieval of recordings of speech, and retrieval across multiple languages. TREC has also introduced evaluations for open-domain question answering and content-based retrieval of digital video. The TREC test collections are large enough so that they realistically model operational settings. Most of today's commercial search engines include technology first developed in TREC.

A TREC workshop consists of a set tracks, areas of focus in which particular retrieval tasks are defined. The tracks serve several purposes. First, tracks act as incubators for new research areas: the first running of a track often defines what the problem really is, and a track creates the necessary infrastructure (test collections, evaluation methodology, etc.) to support research on its task. The tracks also demonstrate the robustness of core retrieval technology in that the same techniques are frequently appropriate for a variety of tasks. Finally, the tracks make TREC attractive to a broader community by providing tasks that match the research interests of more groups.

Each track has a mailing list. The primary purpose of the mailing list is to discuss the details of the track's tasks in the current TREC. However, a track mailing list also serves as a place to discuss general methodological issues related to the track's retrieval tasks. TREC track mailing lists are open to all; you need not participate in TREC to join a list. Most lists do require that you become a member of the list before you can send a message to it.

The set of tracks that will be run in a given year of TREC is determined by the TREC program committee. The committee has established a procedure for proposing new tracks.
EventSeries acronym	TREC +
Field	Category:Data mining +
Has Bibliography	http://dblp.uni-trier.de/db/conf/trec/ +
Homepage	http://trec.nist.gov +
IsA	EventSeries +
Title	Text Retrieval Conference +