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The NRRC reliable information access (RIA) workshop

Published: 25 July 2004 Publication History

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References

[1]
C. Buckley and J. Walz. The TREC-8 Query Track. In Proceedings of the Eighth Text REtrieval Conference (TREC-8), pages 65--76, 2000.
[2]
D. Harman. What we have learned, and not learned, from TREC. In Proceedings of the 22nd Annual Colloquium on Information Retrieval Research pages 2--21, April 2000.
[3]
S. Cronen-Townsend, Y. Zhou, and W. B. Croft. Predicting Query Performance. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval pages 299--306, 2002.

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  • (2024)Coherence-based Query Performance Measures for Dense RetrievalProceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3664190.3672518(15-24)Online publication date: 2-Aug-2024
  • (2024)Is your search query well-formed? A natural query understanding for patent prior art searchWorld Patent Information10.1016/j.wpi.2023.10225476(102254)Online publication date: Mar-2024
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    cover image ACM Conferences
    SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
    July 2004
    624 pages
    ISBN:1581138814
    DOI:10.1145/1008992
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 25 July 2004

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    Author Tags

    1. failure analysis
    2. relevance feedback

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    Cited By

    View all
    • (2024)Coherence-based Query Performance Measures for Dense RetrievalProceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval10.1145/3664190.3672518(15-24)Online publication date: 2-Aug-2024
    • (2024)Is your search query well-formed? A natural query understanding for patent prior art searchWorld Patent Information10.1016/j.wpi.2023.10225476(102254)Online publication date: Mar-2024
    • (2022)Analytics Methods to Understand Information Retrieval Effectiveness—A SurveyMathematics10.3390/math1012213510:12(2135)Online publication date: 19-Jun-2022
    • (2018)Reproduce. Generalize. Extend. On Information Retrieval Evaluation without Relevance JudgmentsJournal of Data and Information Quality10.1145/324106410:3(1-32)Online publication date: 29-Sep-2018
    • (2018)A selective approach to index term weighting for robust information retrieval based on the frequency distributions of query termsInformation Retrieval Journal10.1007/s10791-018-9347-922:6(543-569)Online publication date: 13-Dec-2018
    • (2018)An analysis of evaluation campaigns in ad-hoc medical information retrieval: CLEF eHealth 2013 and 2014Information Retrieval Journal10.1007/s10791-018-9331-421:6(507-540)Online publication date: 3-May-2018
    • (2018)A non-parametric topical relevance modelInformation Retrieval Journal10.1007/s10791-018-9329-y21:5(449-479)Online publication date: 4-Apr-2018
    • (2017)Predicting the Best System Parameter ConfigurationProcedia Computer Science10.1016/j.procs.2017.08.116112:C(1308-1317)Online publication date: 1-Sep-2017
    • (2017)Human-Based Query Difficulty PredictionAdvances in Information Retrieval10.1007/978-3-319-56608-5_27(343-356)Online publication date: 8-Apr-2017
    • (2016)Iterative Search using Query AspectsProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983903(2037-2040)Online publication date: 24-Oct-2016
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