Architecture of a metasearch engine that supports user information needs

Eric J. Glover, Steve Lawrence, William P. Birmingham, C. Lee Giles

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

54 Scopus citations

Abstract

When a query is submitted to a metasearch engine, decisions are made with respect to the underlying search engines to be used, what modifications will be made to the query, and how to score the results. These decisions are typically made by considering only the user's keyword query, neglecting the larger information need. Users with specific needs, such as `research papers' or `homepages,' are not able to express these needs in a way that affects the decisions made by the metasearch engine. In this paper, we describe a metasearch engine architecture that considers the user's information need for each decision. Users with different needs, but the same keyword query, may search different sub-search engines, have different modifications made to their query, and have results ordered differently. Our architecture combines several powerful approaches together in a single general purpose metasearch engine.

Original languageEnglish (US)
Title of host publicationInternational Conference on Information and Knowledge Management, Proceedings
PublisherACM
Pages210-216
Number of pages7
ISBN (Print)1581131461
StatePublished - Dec 1 1999
EventProceedings of the 1999 8th International Conference on Information Knowledge Management (CIKM'99) - Kansas City, MO, USA
Duration: Nov 2 1999Nov 6 1999

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

OtherProceedings of the 1999 8th International Conference on Information Knowledge Management (CIKM'99)
CityKansas City, MO, USA
Period11/2/9911/6/99

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All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

Cite this

Glover, E. J., Lawrence, S., Birmingham, W. P., & Giles, C. L. (1999). Architecture of a metasearch engine that supports user information needs. In International Conference on Information and Knowledge Management, Proceedings (pp. 210-216). (International Conference on Information and Knowledge Management, Proceedings). ACM.