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Assessing the term independence assumption in blind relevance feedback

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SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 635 - 636

https://doi.org/10.1145/1076034.1076165

Published: 15 August 2005 Publication History

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Abstract

When applying blind relevance feedback for ad hoc document retrieval, is it possible to identify, a priori, the set of query terms that will most improve retrieval performance? Can this complex problem be reduced into the simpler one of making independent decisions about the performance effects of each query term? Our experiments suggest that, for the selection of terms for blind relevance feedback, the term independence assumption may be empirically justified.

References

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Cited By

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Rahman MRoy C(2023)A Systematic Review of Automated Query Reformulations in Source Code SearchACM Transactions on Software Engineering and Methodology10.1145/360717932:6(1-79)Online publication date: 4-Jul-2023
https://dl.acm.org/doi/10.1145/3607179
Rahman MKhomh FYeasmin SRoy C(2021)The forgotten role of search queries in IR-based bug localization: an empirical studyEmpirical Software Engineering10.1007/s10664-021-10022-426:6Online publication date: 23-Aug-2021
https://doi.org/10.1007/s10664-021-10022-4
Binkley DLawrie DMorrell C(2018)The need for software specific natural language techniquesEmpirical Software Engineering10.1007/s10664-017-9566-523:4(2398-2425)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.1007/s10664-017-9566-5
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Index Terms

Assessing the term independence assumption in blind relevance feedback
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment

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Published In

SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval

August 2005

708 pages

ISBN:1595930345

DOI:10.1145/1076034

General Chairs:
Ricardo Baeza-Yates
University of Chile, Chile
,
Nivio Ziviani
Federal University of Minas Gerais, Brazil
,
Program Chairs:
Gary Marchionini
University of North Carolina, USA
,
Alistair Moffat
University of Melbourne, Australia
,
John Tait
University of Sunderland, UK

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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Association for Computing Machinery

New York, NY, United States

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Published: 15 August 2005

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SIGIR05: The 28th ACM/SIGIR International Symposium on Information Retrieval 2005

August 15 - 19, 2005

Salvador, Brazil

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Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Rahman MRoy C(2023)A Systematic Review of Automated Query Reformulations in Source Code SearchACM Transactions on Software Engineering and Methodology10.1145/360717932:6(1-79)Online publication date: 4-Jul-2023
https://dl.acm.org/doi/10.1145/3607179
Rahman MKhomh FYeasmin SRoy C(2021)The forgotten role of search queries in IR-based bug localization: an empirical studyEmpirical Software Engineering10.1007/s10664-021-10022-426:6Online publication date: 23-Aug-2021
https://doi.org/10.1007/s10664-021-10022-4
Binkley DLawrie DMorrell C(2018)The need for software specific natural language techniquesEmpirical Software Engineering10.1007/s10664-017-9566-523:4(2398-2425)Online publication date: 1-Aug-2018
https://dl.acm.org/doi/10.1007/s10664-017-9566-5
Carpineto CRomano G(2012)A Survey of Automatic Query Expansion in Information RetrievalACM Computing Surveys10.1145/2071389.207139044:1(1-50)Online publication date: 1-Jan-2012
https://dl.acm.org/doi/10.1145/2071389.2071390
Yoo SChoi J(2010)On the query reformulation technique for effective MEDLINE document retrievalJournal of Biomedical Informatics10.1016/j.jbi.2010.04.00543:5(686-693)Online publication date: 1-Oct-2010
https://dl.acm.org/doi/10.1016/j.jbi.2010.04.005
Yoo SChoi J(2007)Improving MEDLINE document retrieval using automatic query expansionProceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers10.5555/1780653.1780696(241-249)Online publication date: 10-Dec-2007
https://dl.acm.org/doi/10.5555/1780653.1780696

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An information-theoretic approach to automatic query expansion

Elicitation of term relevance feedback: an investigation of term source and context

Improving retrieval feedback with multiple term-ranking function combination

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