Predicting stopping behaviour: A preliminary analysis

Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009

Volumn , Issue , 2009, Pages 750-751

  Toms, Elaine G ^a   Freund, Luanne ^b  

^a DALHOUSIE UNIVERSITY   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Human experiment; Interactive IR; Stopping behaviour

Indexed keywords

END POINTS; HUMAN EXPERIMENT; PRELIMINARY ANALYSIS; SEARCH SESSIONS; TRANSACTION LOG;

INFORMATION RETRIEVAL; INFORMATION SERVICES;

EXPERIMENTS;

EID: 72449148226     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1571941.1572110     Document Type: Conference Paper

References (8)

1. Cooper, W.S., On selecting a measure of retrieval effectiveness. Parts I and II. Journal of the American Society for Information Science, 1973. 24: p. 87-100, 413-424.
2. Kraft, D.H. and D.A. Buell. Advances in a Bayesian decision model of user stopping behavior for scanning the output of an information retrieval system. 7th ACM SIGIR conference, Cambridge, England.
3. Kraft, D.H. and T. Lee, Stopping rules and their effect on expected search length. Information Processing & Management, 1979. 15: p. 47-58.
4. Simon, H.A., Models of Bounded Rationality: Volume 3, Empirically Grounded Reason. 1997, Cambridge, Mass.: MIT Press.
5. Pirolli, P., Information Foraging Theory: Adaptive Interaction with Information. 2007: Oxford University Press, Inc. 226.
6. Zach, L., When is "enough" enough? Modeling the information seeking and stopping behavior of senior arts administrators. Journal of the American Society for Information Science and Technology, 2005. 56(1): p. 23-35.
7. Prabha, C., et al., What is enough? Satisficing information needs. Journal of Documentation, 2007. 63(1): p. 74-89.
8. Pharo, N., A new model of information behaviour based on the Search Situation Transition schema. Information Research, 2004. 10(1)