From Wikipedia, the free encyclopedia

A meta-search engine is a search engine that sends user requests to several other search engines and/or databases and returns the results from each one. Metasearch engines enables users to enter search criteria once and access several search engines simultaneously. Since it is hard to catalogue the entire web, the idea is that by searching multiple search engines you are able to search more of the web in less time and do it with only one click.

The term Metasearch is frequently used to classify a set of commercial search engines, see the list of search engines, but is also used to describe the paradigm of searching multiple data sources in real time. The National Information Standards Organization (NISO) uses the terms Federated Search and Metasearch interchangeably to describe this web search paradigm.

Metasearch engines create what is known as a virtual database. They do not compile a physical database or catalogue of the web. Instead, they take a user's request, pass it to several other heterogeneous databases and then compile the results in a homogeneous manner based on a specific algorithm.

No two metasearch engines are alike. Some search only the most popular search engines while others also search lesser-known engines, newsgroups, and other databases. They also differ in how the results are presented and the quantity of engines that are used. Some will list results according to search engine or database. Others return results according to relevance, often concealing which search engine returned which results. This benefits the user by eliminating duplicate hits and grouping the most relevant ones at the top of the list.

Search engines frequently have different ways they expect requests submitted. For example, some search engines allow the usage of the word "AND" while others require "+" and others require only a space to combine words. The better metasearch engines try to synthesize requests appropriately when submitting them^{[citation needed]}.

Results can vary between metasearch engines based on a large number of variables. Still, even the most basic metasearch engine will allow more of the web to be searched at once than any one stand-alone search engine. On the other hand, the results are said to be less relevant, since a metasearch engine can’t know the internal “alchemy” a search engine does on its result (a metasearch engine do not have any direct access to the search engines’ database).

Metasearch engines are sometimes used in vertical search portals, and to search the deep web^{[citation needed]}.

For engines, see the list of search engines

• Search aggregator
• Federated search
• Aggregator
• Metabrowsing

• Metasearch at the Open Directory Project
• Guide to Meta-Search Engines by UC Berkeley libraries with recommendation not to use them for serious research.
• Meta-search: More heads better than one? Argument against Berkeley's negative recommendation
• Virtual Learning Resources Center - websites recommended by teachers and librarians
• TRIP Database For Evidence Based Medicine (EBM)