article

The TREC terabyte retrieval track

Authors:

Charles Clarke,

Nick Craswell,

Ian SoboroffAuthors Info & Claims

ACM SIGIR Forum, Volume 39, Issue 1

Page 25

https://doi.org/10.1145/1067268.1067274

Published: 01 June 2005 Publication History

Get Access

Abstract

The Terabyte Retrieval Track of the Text REtrieval Conference (TREC) provides an opportunity to test retrieval techniques and evaluation methodologies in the context of a terabyte-scale corpus. Given the size of the corpus, the track also provides a vehicle for participants to investigate query and indexing speeds. This brief summary outlines track activities to date and previews our plans for TREC 2005. For complete information, the reader should consult the full version of this report [1].

Reference

[1]

C. L. A. Clarke, N. Craswell and I. Soboroff. Overview of the TREC 2004 Terabyte Track. In Proceedings of the Thirteenth Text REtrieval Conference, Gaithersburg, MD, November, 2004. NIST Special Publication 500-261. See trec.nist.gov.

Google Scholar

Cited By

View all

Markov ICrestani F(2014)Theoretical, Qualitative, and Quantitative Analyses of Small-Document Approaches to Resource SelectionACM Transactions on Information Systems10.1145/259097532:2(1-37)Online publication date: 1-Apr-2014
https://dl.acm.org/doi/10.1145/2590975
Shokouhi MSi L(2011)Federated SearchFoundations and Trends in Information Retrieval10.1561/15000000105:1(1-102)Online publication date: 1-Jan-2011
https://dl.acm.org/doi/10.1561/1500000010
Oard DBaron JHedin BLewis DTomlinson S(2010)Evaluation of information retrieval for E-discoveryArtificial Intelligence and Law10.1007/s10506-010-9093-918:4(347-386)Online publication date: 1-Dec-2010
https://dl.acm.org/doi/10.1007/s10506-010-9093-9
Show More Cited By

Index Terms

The TREC terabyte retrieval track
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
2. Information systems
  1. Data management systems
    1. Database management system engines
  2. Information retrieval
    1. Document representation
      1. Content analysis and feature selection
    2. Retrieval models and ranking

Recommendations

The TREC 2005 robust track

The TREC robust retrieval track explores methods for improving the consistency of retrieval technology by focusing on poorly performing topics. The retrieval task in the track is a traditional ad hoc retrieval task where the evaluation methodology ...
The TREC question answering track

The Text REtrieval Conference (TREC) question answering track is an effort to bring the benefits of large-scale evaluation to bear on a question answering (QA) task. The track has run twice so far, first in TREC-8 and again in TREC-9. In each case, the ...
The TREC spoken document retrieval track: a success story
RIAO '00: Content-Based Multimedia Information Access - Volume 1

This paper describes work within the NIST Text REtrieval Conference (TREC) over the last three years in designing and implementing evaluations of Spoken Document Retrieval (SDR) technology within a broadcast news domain. SDR involves the search and ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACM SIGIR Forum Volume 39, Issue 1

June 2005

68 pages

ISSN:0163-5840

DOI:10.1145/1067268

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 2005

Published in SIGIR Volume 39, Issue 1

Check for updates

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

8
Total Citations
View Citations
159
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 23 Feb 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Markov ICrestani F(2014)Theoretical, Qualitative, and Quantitative Analyses of Small-Document Approaches to Resource SelectionACM Transactions on Information Systems10.1145/259097532:2(1-37)Online publication date: 1-Apr-2014
https://dl.acm.org/doi/10.1145/2590975
Shokouhi MSi L(2011)Federated SearchFoundations and Trends in Information Retrieval10.1561/15000000105:1(1-102)Online publication date: 1-Jan-2011
https://dl.acm.org/doi/10.1561/1500000010
Oard DBaron JHedin BLewis DTomlinson S(2010)Evaluation of information retrieval for E-discoveryArtificial Intelligence and Law10.1007/s10506-010-9093-918:4(347-386)Online publication date: 1-Dec-2010
https://dl.acm.org/doi/10.1007/s10506-010-9093-9
Baroni MBernardini SFerraresi AZanchetta E(2009)The WaCky wide web: a collection of very large linguistically processed web-crawled corporaLanguage Resources and Evaluation10.1007/s10579-009-9081-443:3(209-226)Online publication date: 10-Feb-2009
https://doi.org/10.1007/s10579-009-9081-4
Sye-Min Chan Ling Xiao Gerth JHanrahan P(2008)Maintaining interactivity while exploring massive time series2008 IEEE Symposium on Visual Analytics Science and Technology10.1109/VAST.2008.4677357(59-66)Online publication date: Oct-2008
https://doi.org/10.1109/VAST.2008.4677357
Aslam JPavlu V(2007)Query Hardness Estimation Using Jensen-Shannon Divergence Among Multiple Scoring FunctionsAdvances in Information Retrieval10.1007/978-3-540-71496-5_20(198-209)Online publication date: 2007
https://doi.org/10.1007/978-3-540-71496-5_20
Bast HWeber IEfthimiadis EDumais SHawking DJärvelin, K(2006)Type less, find moreProceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval10.1145/1148170.1148234(364-371)Online publication date: 6-Aug-2006
https://dl.acm.org/doi/10.1145/1148170.1148234
Büttcher SClarke C(2006)A hybrid approach to index maintenance in dynamic text retrieval systemsProceedings of the 28th European conference on Advances in Information Retrieval10.1007/11735106_21(229-240)Online publication date: 10-Apr-2006
https://dl.acm.org/doi/10.1007/11735106_21

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Abstract

Reference

Cited By

Index Terms

Recommendations

The TREC 2005 robust track

The TREC question answering track

The TREC spoken document retrieval track: a success story

Comments

Information

Published In

Publisher

Publication History

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Share

Share this Publication link

Share on social media

Affiliations