Supporting multiple information-seeking strategies in a single system framework

Xiaojun Yuan, Nicholas J. Belkin

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

18 Scopus citations

Abstract

This paper reports on an experiment comparing the retrieval effectiveness of an interactive information retrieval (IIR) system which adapts to support different information seeking strategies, with that of a standard baseline IIR system. The experiment, with 32 subjects each searching on 8 different topics, indicates that using the integrated IIR system resulted in significantly better performance, including user satisfaction with search results, significantly more effective interaction, and significantly better usability than using the baseline system.

Original languageEnglish (US)
Title of host publicationProceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
Pages247-254
Number of pages8
DOIs
StatePublished - 2007
Event30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - Amsterdam, Netherlands
Duration: Jul 23 2007Jul 27 2007

Publication series

NameProceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07

Other

Other30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07
Country/TerritoryNetherlands
CityAmsterdam
Period7/23/077/27/07

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Software
  • Applied Mathematics

Keywords

  • Adaptive information retrieval
  • Interactive information retrieval
  • Personalization
  • Scanning
  • Searching

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