Personalizing information retrieval for multi-session tasks: The roles of task stage and task type

Jingjing Liu, Nicholas J. Belkin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

85 Scopus citations

Abstract

Dwell time as a user behavior has been found in previous studies to be an unreliable predictor of document usefulness, with contextual factors such as the user's task needing to be considered in its interpretation. Task stage has been shown to influence search behaviors including usefulness judgments, as has task type. This paper reports on an investigation of how task stage and task type may help predict usefulness from the time that users spend on retrieved documents, over the course of several information seeking episodes. A 3-stage controlled experiment was conducted with 24 participants, each coming 3 times to work on 3 sub-tasks of a general task, couched either as "parallel" or "dependent" task type. The full task was to write a report on the general topic, with interim documents produced for each sub-task. Results show that task stage can help in inferring document usefulness from decision time, especially in the parallel task. The findings can be used to increase accuracy in predicting document usefulness and accordingly in personalizing search for multi-session tasks.

Original languageEnglish (US)
Title of host publicationSIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Pages26-33
Number of pages8
DOIs
StatePublished - 2010
Event33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010 - Geneva, Switzerland
Duration: Jul 19 2010Jul 23 2010

Publication series

NameSIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Other

Other33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2010
Country/TerritorySwitzerland
CityGeneva
Period7/19/107/23/10

All Science Journal Classification (ASJC) codes

  • Information Systems

Keywords

  • Contextual factors in IR
  • Dwell time
  • Personalization
  • Task stage
  • Task type

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