article

Incorporating user search behavior into relevance feedback

Authors:

Keith Van RijsbergenAuthors Info & Claims

Journal of the American Society for Information Science and Technology, Volume 54, Issue 6

Pages 529 - 549

https://doi.org/10.1002/asi.10240

Published: 01 April 2003 Publication History

Abstract

In this paper, we present five user experiments on incorporating behavioral information into the relevance feedback process. In particular, we concentrate on ranking terms for query expansion and selecting new terms to add to the user's query. Our experiments are an attempt to widen the evidence used for relevance feedback from simply the relevant documents to include information on how users are searching. We show that this information can lead to more successful relevance feedback techniques. We also show that the presentation of relevance feedback to the user is important in the success of relevance feedback.

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Cited By

Wenige LRuhland JKejriwal MLopez VSequeda J(2019)Similarity-based knowledge graph queries for recommendation retrievalSemantic Web10.3233/SW-19035310:6(1007-1037)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.3233/SW-190353
Raza MMokhtar RAhmad N(2019)A survey of statistical approaches for query expansionKnowledge and Information Systems10.1007/s10115-018-1269-861:1(1-25)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1007/s10115-018-1269-8
Wenige LRuhland J(2018)Retrieval by recommendationInternational Journal on Digital Libraries10.5555/3270442.327046819:2-3(253-269)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.5555/3270442.3270468
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Index Terms

Incorporating user search behavior into relevance feedback
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results
      1. Relevance assessment
    2. Information retrieval query processing

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cover image Journal of the American Society for Information Science and Technology

Journal of the American Society for Information Science and Technology Volume 54, Issue 6

April 2003

124 pages

ISSN:1532-2882

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John Wiley & Sons, Inc.

United States

Publication History

Published: 01 April 2003

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Cited By

Wenige LRuhland JKejriwal MLopez VSequeda J(2019)Similarity-based knowledge graph queries for recommendation retrievalSemantic Web10.3233/SW-19035310:6(1007-1037)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.3233/SW-190353
Raza MMokhtar RAhmad N(2019)A survey of statistical approaches for query expansionKnowledge and Information Systems10.1007/s10115-018-1269-861:1(1-25)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1007/s10115-018-1269-8
Wenige LRuhland J(2018)Retrieval by recommendationInternational Journal on Digital Libraries10.5555/3270442.327046819:2-3(253-269)Online publication date: 1-Sep-2018
https://dl.acm.org/doi/10.5555/3270442.3270468
Carevic ZSchüller SMayr PFuhr NChen JGonçalves MAllen JFox EKan MPetras V(2018)Contextualised Browsing in a Digital Library's Living LabProceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries10.1145/3197026.3197054(89-98)Online publication date: 23-May-2018
https://dl.acm.org/doi/10.1145/3197026.3197054
Baskaya FKeskustalo HJärvelin K(2011)Simulating simple and fallible relevance feedbackProceedings of the 33rd European conference on Advances in information retrieval10.5555/1996889.1996965(593-604)Online publication date: 18-Apr-2011
https://dl.acm.org/doi/10.5555/1996889.1996965
Liu HMulholland PSong DUren VRüger S(2011)An information foraging theory based user study of an adaptive user interaction framework for content-based image retrievalProceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II10.5555/1950054.1950083(241-251)Online publication date: 5-Jan-2011
https://dl.acm.org/doi/10.5555/1950054.1950083
Baskaya FKeskustalo HJärvelin K(2011)Simulating Simple and Fallible Relevance FeedbackProceedings of the 33rd European Conference on Advances in Information Retrieval - Volume 661110.1007/978-3-642-20161-5_59(593-604)Online publication date: 18-Apr-2011
https://dl.acm.org/doi/10.1007/978-3-642-20161-5_59
Borlund PSchneider JBelkin NKelly D(2010)Reconsideration of the simulated work task situationProceedings of the third symposium on Information interaction in context10.1145/1840784.1840808(155-164)Online publication date: 18-Aug-2010
https://dl.acm.org/doi/10.1145/1840784.1840808
Liu HMulholland PSong DUren VRüger SBelkin NKelly D(2010)Applying information foraging theory to understand user interaction with content-based image retrievalProceedings of the third symposium on Information interaction in context10.1145/1840784.1840805(135-144)Online publication date: 18-Aug-2010
https://dl.acm.org/doi/10.1145/1840784.1840805
Wu ILiu DChang P(2009)Learning dynamic information needs: A collaborative topic variation inspection approachJournal of the American Society for Information Science and Technology10.5555/1672983.167300860:12(2430-2451)Online publication date: 1-Dec-2009
https://dl.acm.org/doi/10.5555/1672983.1673008
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