Investigating automated assistance and implicit feedback for searching systems

Bernard Jansen, Michael D. McNeese

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Information retrieval systems offering personalized automated assistance have the potential to improve the searching process. There has been much work in this area for several years on a variety of systems. However, there has been little empirical evaluation of automated assistance to determine if it is of real benefit for searchers. We report the results of empirical evaluation investigate how searchers use implicit feedback and automated assistance during the searching process. Results from the empirical evaluation indicate that searchers typically use multiple implicit feedback actions, usually bookmark - copy. The most commonly utilized automated assistance was for query refinement, notable the use of the thesaurus. We discuss the implications for Web systems and future research.

Original languageEnglish
Pages (from-to)280-286
Number of pages7
JournalProceedings of the ASIST Annual Meeting
Volume41
DOIs
Publication statusPublished - Nov 2004
Externally publishedYes

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assistance
Feedback
Thesauri
Information retrieval systems
evaluation
thesaurus
information retrieval

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

Cite this

Investigating automated assistance and implicit feedback for searching systems. / Jansen, Bernard; McNeese, Michael D.

In: Proceedings of the ASIST Annual Meeting, Vol. 41, 11.2004, p. 280-286.

Research output: Contribution to journalArticle

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