Interactive internet search through automatic clustering: An empirical study

Dmitri Roussinov, Kristine Tolle, Marshall Ramsey, Hsinchun Chen

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

4 Scopus citations

Abstract

We have developed and empirically evaluated a method of information seeking (called Adaptive Search) that combines automatic document clustering and user feedback in a novel way. In this approach, the user starts with a natural text description of the needed information and goes through a sequence of interactions with the system in order to find documents of interest. Adaptive Search utilizes Kohonen Self-Organizing maps and acts as a layer between the user and a commercial search engine. In a laboratory experiment, subjects searched the World Wide Web for answers to a given set of questions. Our results indicate that the subjects spent less time finding correct answers using Adaptive Search than using the search engine directly. In addition, the Adaptive Search-suggested documents contained answers that were positioned consistently higher in the rank-ordered lists than those suggested by the Internet search engine. This suggests that document clustering can be integrated into an interactive search system in such a way that it substantially helps information seekers.

Original languageEnglish (US)
Title of host publicationProceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999
PublisherAssociation for Computing Machinery, Inc
Pages289-290
Number of pages2
ISBN (Electronic)1581130961, 9781581130966
DOIs
StatePublished - Aug 1 1999
Event22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999 - Berkeley, United States
Duration: Aug 15 1999Aug 19 1999

Other

Other22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999
CountryUnited States
CityBerkeley
Period8/15/998/19/99

    Fingerprint

Keywords

  • Information retrieval
  • Intelligent searching
  • Interactive data exploration
  • Internet search engines
  • Self-organizing maps

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Information Systems

Cite this

Roussinov, D., Tolle, K., Ramsey, M., & Chen, H. (1999). Interactive internet search through automatic clustering: An empirical study. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 1999 (pp. 289-290). Association for Computing Machinery, Inc. https://doi.org/10.1145/312624.312714