1997•Unpublished venueRequires access

SavvySearch: A Meta-Search Engine that Learns which Search Engines to Query

Adele E. Howe, Daniel Dreilinger

Open publisher page 157 citations

Abstract

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. Meta-search engines reduce the user burden by dispatching queries to multiple search engines in parallel. The SavvySearch meta-search engine is designed to efficiently query other search engines by carefully selecting those search engines likely to return useful results and by 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. 1 The Application: Meta-Search on the Web Companies, institutions and individuals must have a presence on the Web; each are vying for the attention of millions of people. Not too surprisingly then, the most successful applications on the Web to dat...

About this research paper

What this paper is about

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. Meta-search engines reduce the user burden by dispatching queries to multiple search engines in parallel. The SavvySearch meta-search engine is designed to efficiently query other search engines by carefully selecting those search engines likely to return useful results and by 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. 1 The Application: Meta-Search on the Web Companies, institutions and individuals must have a presence on the Web; each are vying for the attention of millions of people. Not too surprisingly then, the most successful applications on the Web to dat...

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OpenAlex reports 157 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

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. Meta-search engines reduce the user burden by dispatching queries to multiple search engines in parallel. The SavvySearch meta-search engine is designed to efficiently query other search engines by carefully selecting those search engines likely to return useful results and by 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. 1 The Application: Meta-Search on the Web Companies, institutions and individuals must have a presence on the Web; each are vying for the attention of millions of people. Not too surprisingly then, the most successful applications on the Web to dat...

Key concepts: Metasearch engine, Search engine, Computer science, Information retrieval, Web search engine, Search analytics, Web search query, World Wide Web

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