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A metasearch engine (or aggregator) is a search tool that uses another search engine's data to produce their own results from the Internet.〔''Sandy Berger's Great Age Guide to the Internet'' by Sandy Berger. Que Publishing, 2005, ISBN 0-7897-3442-7.〕〔(【引用サイトリンク】title= Architecture of a Metasearch Engine that Supports User Information Needs )〕 Metasearch engines take input from a user and simultaneously send out queries to third party search engines for results. Sufficient data is gathered, formatted by their ranks and presented to the users. Information stored on the World Wide Web is constantly expanding, making it increasingly impossible for a single search engine to index the entire web for resources. A metasearch engine is a solution to overcome this limitation. By combining multiple results from different search engines, a metasearch engine is able to enhance the user’s experience for retrieving information, as less effort is required in order to access more materials. A metasearch engine is efficient, as it is capable of generating a large volume of data, however, scores of websites stored on search engines are all different: this can draw in irrelevant documents. Other problems such as spamming also significantly reduce the accuracy of the search.〔Lawrence, S. and Lee Giles, C. (2014). Patent US6999959 - Meta search engine. () Google Books. Available at: http://www.google.com/patents/US6999959 (20 Oct. 2014 ).〕 The process of fusion aims to tackle this issue and improve the engineering of a metasearch engine.〔The collection fusion problem. By E. M. Voorhees, Narendra K. Gupta, and Ben Johnson-Laird. NIST SPECIAL PUBLICATION SP, 1995, 95-95.〕 There are many types of metasearch engines available to allow users to access specialised information in a particular field. These include Savvysearch engine and Metaseek engine. == History == "Why search the web with one search engine when you can search them all - or at least several?" This was the question tackled by researchers following a search engine review that found different search engines to be producing different results because of the different algorithms on which each was based. The first person to incorporate the idea of meta searching was Colorado State University's Daniel Dreilinger. He revealed SearchSavvy, which let users search up to 20 different search engines and directories at once. Although fast, the search engine was restricted to simple searches and thus wasn't too reliable. University of Washington student Eric Selberg released a more "updated" version called MetaCrawler. This search engine improved on SearchSavvy's accuracy by adding its own search syntax behind the scenes, and matching the syntax to that of the search engines it was probing. Metacrawler reduced the amount of search engines queried to 6, but although it produced more accurate results, it still wasn't considered as accurate as searching a query in an individual engine.〔(【引用サイトリンク】title=The Meta-search -- Search Engine History )〕 Another metasearch engine was created in May 20, 1996. HotBot, owned by Wired at the time, was a search engine with search results coming from the Inktomi and Direct Hit database. It was known at the time for its fast results and funky name, and as a search engine with the ability to search within search results. Upon being bought by Lycos in 1998, development for the search engine staggered and its market share fell drastically. After going through a few alterations, HotBot was redesigned into a simplified search interface, with its features being incorporated into Lycos' website redesign.〔(【引用サイトリンク】title=Search engine rankings on HotBot: a brief history of the HotBot search engine )〕 Ixquick is a search engine more recently known for its privacy policy statement. Developed and launched in 1998 by David Bodnick, it is currently owned by Surfboard Holding BV as of year 2000. On June 2006, Ixquick began to delete private details of its users following the same process with Scroogle. Ixquick's privacy policy includes no recording of users' IP addresses, no identifying cookies, no collection of personal data, and no sharing of personal data with third parties.〔(【引用サイトリンク】title=ABOUT US - Our history )〕 It also uses a unique ranking system where a result is ranked by stars. The more stars in a result, the more search engines agreed on the result. In April 2005, Dogpile (owned and operated by InfoSpace, Inc. at the time) collaborated with researchers from University of Pittsburgh and Pennsylvania State University to measure the overlap and ranking differences of leading Web search engines in order to gauge the benefits of using a metasearch engine to search the web. Results found that from 10,316 random user-defined queries from Google, Yahoo!, and Ask Jeeves, only 3.2 percent of first page search results were the same across those search engines for a given query. Another study later that year using 12,570 random user-defined queries from Google, Yahoo!, MSN Search, and Ask Jeeves found that only 1.1 percent of first page search results were the same across those search engines for a given query. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Metasearch engine」の詳細全文を読む スポンサード リンク
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