TREC (Record no. 76307)

000 -LEADER
fixed length control field 02337nam a2200205 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 0262220733 (alk. paper)
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 025.04
Item number TRE
245 00 - TITLE STATEMENT
Title TREC
Remainder of title experiment and evaluation in information retrieval
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Cambridge, Mass. :
Name of publisher MIT Press,
Year of publication c2005.
300 ## - PHYSICAL DESCRIPTION
Number of Pages x, 462 p. :
Other physical details ill. ;
500 ## - GENERAL NOTE
General note "Contribution of the National Institute of Standards and Technology."
520 ## - SUMMARY, ETC.
Summary, etc The Text REtrieval Conference (TREC), a yearly workshop hosted by the US government's National Institute of Standards and Technology, provides the infrastructure necessary for large-scale evaluation of text retrieval methodologies. With the goal of accelerating research in this area, TREC created the first large test collections of full-text documents and standardized retrieval evaluation. The impact has been significant; since TREC's beginning in 1992, retrieval effectiveness has approximately doubled. TREC has built a variety of large test collections, including collections for such specialized retrieval tasks as cross-language retrieval and retrieval of speech. Moreover, TREC has accelerated the transfer of research ideas into commercial systems, as demonstrated in the number of retrieval techniques developed in TREC that are now used in Web search engines.This book provides a comprehensive review of TREC research, summarizing the variety of TREC results, documenting the best practices in experimental information retrieval, and suggesting areas for further research. The first part of the book describes TREC's history, test collections, and retrieval methodology. Next, the book provides "track" reports—describing the evaluations of specific tasks, including routing and filtering, interactive retrieval, and retrieving noisy text. The final part of the book offers perspectives on TREC from such participants as Microsoft Research, University of Massachusetts, Cornell University, University of Waterloo, City University of New York, and IBM. The book will be of interest to researchers in information retrieval and related technologies, including natural language processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Text processing (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Information storage and retrieval systems
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Voorhees, E, Ed.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Harman, D. K, Ed.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type BK
001 - CONTROL NUMBER
control field 13998890
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2005050466
952 ## - LOCATION AND ITEM INFORMATION (KOHA)
Withdrawn status
Lost status
Holdings
Damaged status Collection code Home library Current library Shelving location Date acquired Full call number Accession Number Koha item type
  Stack Kannur University Central Library Kannur University Central Library Stack 11/07/2024 025.04 TRE 68202 BK
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