Document (#19191)

Author: Howe, A.E.
Dreilinger, D.
Title: SavvySearch: a metasearch engine that learns with search engines to query
Source: AI magazine. 18(1997) no.2, S.19-25
Year: 1997
Abstract: Metasearch engines reduce the burden to users of search engines by dispatching queries to multiple search engines in parallel. The SavvySearch metasearch engine is designed to effiently query other search engines by carefully selecting those search engines likely to return useful results and responding to fluctuating load demands on the WWW. 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
Footnote: Contribution to a special section devoted to intelligent systems on the Internet
Theme: Suchmaschinen
Object: SavvySearch

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