Article

Free access

Improving relevance feedback in the vector space model

Authors:

Carol Lundquist,

David A. Grossman,

Ophir FriederAuthors Info & Claims

CIKM '97: Proceedings of the sixth international conference on Information and knowledge management

Pages 16 - 23

https://doi.org/10.1145/266714.266844

Published: 01 January 1997 Publication History

First page of PDF

References

[1]

Ballerini, J., M. Buchel, D. Knaus, B. Mateev, E. Mittendorf, P. Schauble, P. Sheridan and M. Wechsler, "SPIDER Retrieval System at TREC-5," to appear in Text Retrieval Conference, sponsored by National Institute of Standards and Technology and Advanced Research Projects Agency, November 1996.

[2]

Buckley, Chris, Amit Singhai, Manhar Mitra and Gerard Salton, "New Retrieval Approaches Using SMART: TREC 4," Text Retrieval Conference, sponsored by National Institute of Standards and Technology and Advanced Research Projects Agency, November 1995.

[3]

Croft, W. B. and D. J. Harper, "Using probabilistic models of document retrieval without relevance information," Journal of Documentation, v. 35, pp. 285-195, 1979.

[4]

Grossman, D, C.Lundquist, J. Reichert, D. Holmes and O. Frieder, "Using Relevance Feedback within the Relational Model for TREC-5," to appear in Text Retrieval Conference, sponsored by National Institute of Standards and Technology and Advanced Research Projects Agency, November 1996.

[5]

Grossman, D., O. Frieder, D. Holmes, and D. Roberts, "Integrating Structured Data and Text: A Relational Approach," Journal of the American Society of Information Science, January 1997.

Digital Library

[6]

Harman, D., "Relevance Feedback Revisited," Proceedings of the Fifteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Ed. Nicholas Belkin, Peter Ingwersen and Annelise Mark Pejtersen, SIGIR Forum, June 21-24, 1992.

Digital Library

[7]

Harman, D., "Overview of the Fourth Text Retrieval Conference (TREC-4)," to appear in Text Retrieval Conference, sponsored by National Institute of Standards and Technology and Advanced Research Projects Agency, November 1996.

[8]

Harper, D. J. and C. J. van Rijsbergen, "An Evaluation of Feedback in Document Retrieval using Co-Occurrence Data," Journal of Documentation, v-34, pp. 189-216, 1978.

[9]

Ide, E., "New Experiments in Relevance Feedback," Gerard Salton, Editor, The SMART Retrieval System, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1971.

[10]

Knaus, D., E., Mittendorf, P. Schauble, P. Sheridan, "Highlighting Relevant Passages for Users of the Interactive SPIDER Retrieval System," Text Retrieval Conference, sponsored by National Instutute of Standards and Technology and Advanced Research Projects Agency, November 1995.

[11]

Lu, A., M. Ayoub, and J. Dong,"Ad Hoc Experiments Using EUREKA," to appear in Text Retrieval Conference, sponsored by National Institute of Standards and Technology and Advanced Research Projects Agency, November 1996.

[12]

Lundquist, C., D. Grossman, O. Frieder, and D. Holmes, "A Parallel Implementation of Relevance Feedback using the Relational Model," Proceedings of the World Multiconference on Systemics, Cybernetics, and Informatics, July 1997.

[13]

Rocchio, Jr., J. J., "Relevance Feedback in Information Retrieval," Gerard Salton, Editor, The SMART Retrieval System, Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1971.

[14]

Salton, G., Automatic Text Processing: The Transformation, Analysis and Retrieval of Information by Computer, Addison-Wesley Publishing Company, Inc., Reading, Massachusetts, 1989.

Digital Library

[15]

Salton, G. and C. Buckley, "Improving Retrieval Performance by Relevance Feedback," Journal of the American Society for Information Science, v. 41, no. 4, pp. 288-297, 1990.

[16]

Singhal, A., C. Buckley, and M. Mitra, "Pivoted Document Length Normalization," Proceedigns of the Nineteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Ed. Hans-Peter Frei, Donna Harman, Peter Schauble and Ross Wilkinson, SIGIR Forum, August 18-22, 1996.

Digital Library

[17]

Sparck Jones, K. "Search Term Relevance Weighting given little Relevance Information," Journal of Documentation, v. 35, pp. 30-48, 1979.

[18]

van Rijsbergen, C. J., "A Theoretical Basis for the use of Co-Occurrence Data in Information Retrieval," Journal of Documentation, v. 33, pp. 106-119, 1977.

Cited By

Resnick MBandos J(2016)Best Practices in Search User Interface DesignProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/15419312020460050646:5(627-631)Online publication date: 6-Nov-2016
https://doi.org/10.1177/154193120204600506
Berendsen RTsagkias MWeerkamp Wde Rijke MJones GSheridan PKelly Dde Rijke MSakai T(2013)Pseudo test collections for training and tuning microblog rankersProceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval10.1145/2484028.2484063(53-62)Online publication date: 28-Jul-2013
https://dl.acm.org/doi/10.1145/2484028.2484063
Riemer KBrüggemann F(2007)Personalisierung der InternetsuchePersonalisation of Search Services — Techniques and Market OverviewWIRTSCHAFTSINFORMATIK10.1007/s11576-007-0033-649:2(116-126)Online publication date: 1-Jun-2007
https://doi.org/10.1007/s11576-007-0033-6
Show More Cited By

Index Terms

Improving relevance feedback in the vector space model
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking

Recommendations

Vector space model adaptation and pseudo relevance feedback for content-based image retrieval

Image retrieval is an important problem for researchers in computer vision and content-based image retrieval (CBIR) fields. Over the last decades, many image retrieval systems were based on image representation as a set of extracted low-level features ...
A boosting approach to improving pseudo-relevance feedback
SIGIR '11: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback helps many queries, it also often hurts many other queries, limiting its ...
Group-based Relevance Feedback with Support Vector Machine Ensembles
ICPR '04: Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03

Support vector machines (SVMs) have become one of the most promising techniques for relevance feedback in content-based image retrieval (CBIR). Typical SVM-based relevance feedback techniques simply apply the strict binary classifications: positive (...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

CIKM '97: Proceedings of the sixth international conference on Information and knowledge management

January 1997

378 pages

ISBN:089791970X

DOI:10.1145/266714

Chairmen:
Forouzan Golshani
Arizona State Univ., Tempe
,
Kia Makki
Univ. of Southwestern Louisiana, Lafayette
,
Charles Nicholas
Univ. of Maryland, Baltimore County, Camtonsville
,
Niki Pissinou
Univ. of Southwestern Louisiana, Lafayette

Copyright © 1997 ACM.

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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 1997

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

CIKM97

Sponsor:

CIKM97: Sixth International Conference on Information and Knowledge Management

November 10 - 14, 1997

Nevada, Las Vegas, USA

Acceptance Rates

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

Upcoming Conference

CIKM '25

Sponsor:
sigir
sigir

The 34th ACM International Conference on Information and Knowledge Management

November 10 - 14, 2025

Seoul , Republic of Korea

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

10
Total Citations
View Citations
1,057
Total Downloads

Downloads (Last 12 months)82
Downloads (Last 6 weeks)8

Reflects downloads up to 19 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Resnick MBandos J(2016)Best Practices in Search User Interface DesignProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/15419312020460050646:5(627-631)Online publication date: 6-Nov-2016
https://doi.org/10.1177/154193120204600506
Berendsen RTsagkias MWeerkamp Wde Rijke MJones GSheridan PKelly Dde Rijke MSakai T(2013)Pseudo test collections for training and tuning microblog rankersProceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval10.1145/2484028.2484063(53-62)Online publication date: 28-Jul-2013
https://dl.acm.org/doi/10.1145/2484028.2484063
Riemer KBrüggemann F(2007)Personalisierung der InternetsuchePersonalisation of Search Services — Techniques and Market OverviewWIRTSCHAFTSINFORMATIK10.1007/s11576-007-0033-649:2(116-126)Online publication date: 1-Jun-2007
https://doi.org/10.1007/s11576-007-0033-6
Resnick MVaughan M(2006)Best practices and future visions for search user interfacesJournal of the American Society for Information Science and Technology10.1002/asi.2029257:6(781-787)Online publication date: 22-Feb-2006
https://doi.org/10.1002/asi.20292
Fan WLuo MWang LXi WFox ESanderson MJärvelin KAllan JBruza P(2004)Tuning before feedbackProceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval10.1145/1008992.1009018(138-145)Online publication date: 25-Jul-2004
https://dl.acm.org/doi/10.1145/1008992.1009018
King IJin Z(2003)Integrated probability function and its application to content-based image retrieval by relevance feedbackPattern Recognition10.1016/S0031-3203(03)00043-836:9(2177-2186)Online publication date: Sep-2003
https://doi.org/10.1016/S0031-3203(03)00043-8
Jin ZKing ILi X(2003)Content-Based Image Retrieval By Relevance FeedbackAdvances in Visual Information Systems10.1007/3-540-40053-2_46(521-529)Online publication date: 11-Feb-2003
https://doi.org/10.1007/3-540-40053-2_46
Hammo BAbu-Salem HLytinen SRosner MWintner S(2002)QARABProceedings of the ACL-02 workshop on Computational approaches to semitic languages10.3115/1118637.1118644(1-11)Online publication date: 11-Jul-2002
https://dl.acm.org/doi/10.3115/1118637.1118644
Meghini CSebastiani FStraccia U(2001)A model of multimedia information retrievalJournal of the ACM10.1145/502102.50210348:5(909-970)Online publication date: 1-Sep-2001
https://dl.acm.org/doi/10.1145/502102.502103
Kim HLee SAgah ACallan JRundensteiner EGauch S(2000)A semi-supervised document clustering technique for information organizationProceedings of the ninth international conference on Information and knowledge management10.1145/354756.354777(30-37)Online publication date: 6-Nov-2000
https://dl.acm.org/doi/10.1145/354756.354777

View Options

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

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

Media

Figures

Other

Tables

View Table of Contents