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Predicting stopping behaviour: a preliminary analysis

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SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

Pages 750 - 751

https://doi.org/10.1145/1571941.1572110

Published: 19 July 2009 Publication History

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Abstract

The analysis of search transaction logs often characterizes a search session but rarely looks at the end point. When do users stop, and what cues are present suggesting that stopping is eminent? In this preliminary analysis of the logs of 288 search sessions conducted in a laboratory setting, we identified the activity performed by participants as well as search transitions that were invoked over the course of a search session. The 4331 search transitions (15 per task on average) contained a total of 9295 actions. We isolated the final transition in each search session for detailed analysis. As hypothesized some behaviours are predictable, and suggestive of stopping behavior, with the potential for modeling.

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Cited By

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Matysek ATomaszczyk J(2021)In quest of goldilocks ranges in searching for information on the webJournal of Documentation10.1108/JD-01-2021-0019ahead-of-print:ahead-of-printOnline publication date: 25-May-2021
https://doi.org/10.1108/JD-01-2021-0019
Umemoto KYamamoto TTanaka KPerego RSebastiani FAslam JRuthven IZobel J(2016)ScentBarProceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval10.1145/2911451.2911546(405-414)Online publication date: 7-Jul-2016
https://dl.acm.org/doi/10.1145/2911451.2911546
Maxwell DAzzopardi LJärvelin KKeskustalo HBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(2015)Searching and StoppingProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806476(313-322)Online publication date: 17-Oct-2015
https://dl.acm.org/doi/10.1145/2806416.2806476
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Index Terms

Predicting stopping behaviour: a preliminary analysis
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval

July 2009

896 pages

ISBN:9781605584836

DOI:10.1145/1571941

General Chairs:
James Allan
University of Massachusetts Amherst, USA
,
Javed Aslam
Northeastern University, USA
,
Program Chairs:
Mark Sanderson
University of Sheffield, UK
,
ChengXiang Zhai
University of Illinois at Urbana-Champaign, USA
,
Justin Zobel
University of Melbourne, Australia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 July 2009

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SIGIR '09: The 32nd International ACM SIGIR conference on research and development in Information Retrieval

July 19 - 23, 2009

MA, Boston, USA

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Matysek ATomaszczyk J(2021)In quest of goldilocks ranges in searching for information on the webJournal of Documentation10.1108/JD-01-2021-0019ahead-of-print:ahead-of-printOnline publication date: 25-May-2021
https://doi.org/10.1108/JD-01-2021-0019
Umemoto KYamamoto TTanaka KPerego RSebastiani FAslam JRuthven IZobel J(2016)ScentBarProceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval10.1145/2911451.2911546(405-414)Online publication date: 7-Jul-2016
https://dl.acm.org/doi/10.1145/2911451.2911546
Maxwell DAzzopardi LJärvelin KKeskustalo HBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(2015)Searching and StoppingProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806476(313-322)Online publication date: 17-Oct-2015
https://dl.acm.org/doi/10.1145/2806416.2806476
Maxwell DAzzopardi LJärvelin KKeskustalo HBaeza-Yates RLalmas MMoffat ARibeiro-Neto B(2015)An Initial Investigation into Fixed and Adaptive Stopping StrategiesProceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/2766462.2767802(903-906)Online publication date: 9-Aug-2015
https://dl.acm.org/doi/10.1145/2766462.2767802
Wu WKelly D(2015)Online search stopping behaviors: An investigation of query abandonment and task stoppingProceedings of the American Society for Information Science and Technology10.1002/meet.2014.1450510103051:1(1-10)Online publication date: 24-Apr-2015
https://doi.org/10.1002/meet.2014.14505101030
Wu WKelly DSud AGeva STrotman ABruza PClarke CJärvelin K(2014)Using information scent and need for cognition to understand online search behaviorProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval10.1145/2600428.2609626(557-566)Online publication date: 3-Jul-2014
https://dl.acm.org/doi/10.1145/2600428.2609626
Dostert M(2012)Does domain knowledge influence search stopping behavior?Proceedings of the American Society for Information Science and Technology10.1002/meet.2011.1450480121948:1(1-2)Online publication date: 11-Jan-2012
https://doi.org/10.1002/meet.2011.14504801219

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Searching and Stopping: An Analysis of Stopping Rules and Strategies

Identifying and Predicting the States of Complex Search Tasks

A study of inspector's behavior for increment stopping strategies

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