SAVVYSEARCH - A METASEARCH ENGINE THAT LEARNS WHICH SEARCH ENGINES TOQUERY

Citation
Ae. Howe et D. Dreilinger, SAVVYSEARCH - A METASEARCH ENGINE THAT LEARNS WHICH SEARCH ENGINES TOQUERY, The AI magazine, 18(2), 1997, pp. 19-25
Citations number
7
Categorie Soggetti
Computer Sciences","Computer Science Artificial Intelligence
Journal title
ISSN journal
07384602
Volume
18
Issue
2
Year of publication
1997
Pages
19 - 25
Database
ISI
SICI code
0738-4602(1997)18:2<19:S-AMET>2.0.ZU;2-G
Abstract
Search engines are among the most successful applications on the web t oday 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 b est address. Metasearch engines reduce the user burden by dispatching queries to multiple search engines in parallel. The SAVVYSEARCH metase arch engine is designed to efficiently query other search engines by c arefully selecting those search engines likely to return useful result s and responding to fluctuating load demands on the web. SAVVYSEARCH l earns to identify which search engines ale most appropriate for partic ular queries, reasons about resource demands, and represents an iterat ive parallel search strategy as a simple plan.