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Comparison of using passages and documents for blind relevance feedback in information retrieval

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SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval

Pages 482 - 483

https://doi.org/10.1145/1008992.1009081

Published: 25 July 2004 Publication History

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Abstract

This paper compares document blind feedback and passage blind feedback in Information Retrieval (IR), based on the work during the NRRC 2003 Reliable Information Access Summer workshop. The analysis of our experimental results shows overall consistency on the performance impact of using passages and documents for blind feedback. However, it is observed that the behavior of passage blind feedback, compared to document blind feedback, is both system dependent and topic dependent. The relationships between the performance impact of passage blind feedback and the number of feedback terms and the topic's average relevant document length, respectively, are examined to illustrate these dependencies.

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K. Yang, K. Maglaughlin, and G. B. Newby. Passage feedback with IRIS. Information Processing and Management, 37(3):521--541, 2001.

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C. Zhai and J. Lafferty. Model-based feedback in the language modeling approach to information retrieval. In 10th CIKM, pages 403--410, 2001.

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Khwileh AWay AJones G(2017)Improving the Reliability of Query Expansion for User-Generated Speech Retrieval Using Query Performance PredictionExperimental IR Meets Multilinguality, Multimodality, and Interaction10.1007/978-3-319-65813-1_4(43-56)Online publication date: 17-Aug-2017
https://doi.org/10.1007/978-3-319-65813-1_4
Harman DBuckley C(2009)Overview of the Reliable Information Access WorkshopInformation Retrieval10.1007/s10791-009-9101-412:6(615-641)Online publication date: 18-Jul-2009
https://doi.org/10.1007/s10791-009-9101-4
Wong WLuk RLeong HHo KLee D(2008)Re-examining the effects of adding relevance information in a relevance feedback environmentInformation Processing and Management: an International Journal10.1016/j.ipm.2007.12.00244:3(1086-1116)Online publication date: 1-May-2008
https://dl.acm.org/doi/10.1016/j.ipm.2007.12.002
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Index Terms

Comparison of using passages and documents for blind relevance feedback in information retrieval
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment

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Published In

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

General Chair:
Mark Sanderson
University of Sheffield (UK)
,
Program Chairs:
Kalervo Järvelin
University of Tampere (Finland)
,
James Allan
University of Massachusetts (USA)
,
Peter Bruza
Distributed Systems Technology Centre (Australia)

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: 25 July 2004

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SIGIR04: The 27th ACM/SIGIR International Symposium on Information Retrieval 2004

July 25 - 29, 2004

Sheffield, United Kingdom

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

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Khwileh AWay AJones G(2017)Improving the Reliability of Query Expansion for User-Generated Speech Retrieval Using Query Performance PredictionExperimental IR Meets Multilinguality, Multimodality, and Interaction10.1007/978-3-319-65813-1_4(43-56)Online publication date: 17-Aug-2017
https://doi.org/10.1007/978-3-319-65813-1_4
Harman DBuckley C(2009)Overview of the Reliable Information Access WorkshopInformation Retrieval10.1007/s10791-009-9101-412:6(615-641)Online publication date: 18-Jul-2009
https://doi.org/10.1007/s10791-009-9101-4
Wong WLuk RLeong HHo KLee D(2008)Re-examining the effects of adding relevance information in a relevance feedback environmentInformation Processing and Management: an International Journal10.1016/j.ipm.2007.12.00244:3(1086-1116)Online publication date: 1-May-2008
https://dl.acm.org/doi/10.1016/j.ipm.2007.12.002
Jordan CWatters CGao QMarchionini GNelson MMarshall C(2006)Using controlled query generation to evaluate blind relevance feedback algorithmsProceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries10.1145/1141753.1141818(286-295)Online publication date: 11-Jun-2006
https://dl.acm.org/doi/10.1145/1141753.1141818
Lynam TBuckley CClarke CCormack GGrossman DGravano LZhai CHerzog OEvans D(2004)A multi-system analysis of document and term selection for blind feedbackProceedings of the thirteenth ACM international conference on Information and knowledge management10.1145/1031171.1031229(261-269)Online publication date: 13-Nov-2004
https://dl.acm.org/doi/10.1145/1031171.1031229

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Score Normalization Methods for Relevant Documents Selection for Blind Relevance Feedback in Speech Information Retrieval

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A Document Retrieval Strategy Based on Non-Relevance Feedback

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