SavvySearch: A Metasearch Engine That Learns Which Search Engines to Query

Search engines are among the most successful applications on the web today. So many search engines have been created that it is difficult for users to know where they are, how to use them, and what topics they best address. Metasearch engines reduce the user burden by dispatching queries to multiple...

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Bibliographic Details
Published inThe AI magazine Vol. 18; no. 2; pp. 19 - 25
Main Authors Howe, Adele E., Dreilinger, Daniel
Format Journal Article
LanguageEnglish
Published La Canada American Association for Artificial Intelligence 01.07.1997
John Wiley & Sons, Inc
Subjects
Analysis
Artificial intelligence
Intelligent agents
Internet
Internet/Web search services
Queries
Robots
SavvySearch
Search engines
Search strategies
Software
World Wide Web
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Summary:Search engines are among the most successful applications on the web today. So many search engines have been created that it is difficult for users to know where they are, how to use them, and what topics they best address. Metasearch engines reduce the user burden by dispatching queries to multiple search engines in parallel. The savvysearch metasearch engine is designed to efficiently query other search engines by carefully selecting those search engines likely to return useful results and responding to fluctuating load demands on the web. savvysearch learns to identify which search engines are most appropriate for particular queries, reasons about resource demands, and represents an iterative parallel search strategy as a simple plan.
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ISSN:0738-4602
2371-9621
DOI:10.1609/aimag.v18i2.1290