Investigating automated assistance and implicit feedback for searching systems

Bernard J. Jansen, Michael D. McNeese

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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 (US)
Pages (from-to)280-286
Number of pages7
JournalProceedings of the ASIST Annual Meeting
StatePublished - Nov 2004

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Library and Information Sciences


Dive into the research topics of 'Investigating automated assistance and implicit feedback for searching systems'. Together they form a unique fingerprint.

Cite this