Posts Tagged ‘Search Engine’

Search Engine History

Wednesday, June 24th, 2009

Year Engine Event
1993 Aliweb Launch
JumpStation Launch
1994 WebCrawler Launch
Infoseek Launch
Lycos Launch
1995 AltaVista Launch
Open Text Web Index Launch
Magellan Launch
Excite Launch
SAPO Launch
1996 Dogpile Launch
Inktomi Founded
HotBot Founded
Ask Jeeves Founded
1997 Northern Light Launch
Yandex Launch
1998 Google Launch
1999 AlltheWeb Launch
GenieKnows Founded
Naver Launch
Teoma Founded
Vivisimo Founded
2000 Baidu Founded
Exalead Founded
2003 Info.com Launch
2004 Yahoo! Search Final launch
A9.com Launch
Sogou Launch
2005 MSN Search Final launch
Ask.com Launch
GoodSearch Launch
2006 wikiseek Founded
Quaero Founded
Ask.com Launch
Live Search Launch
ChaCha Beta Launch
Guruji.com Beta Launch
2007 wikiseek Launched
Wikia Search Launched
Blackle.com Launched
2008 Powerset Launched
Viewzi Launched
Cuil Launched
Boogami Launched
LeapFish Beta Launch
VADLO Launch
Sperse! Search Launch
Dhoondho Launched
2009 Bing Launched

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How Search Engines Work?

Wednesday, June 24th, 2009

A search engine operates, in the following order

  1. Web Crawling
  2. Indexing
  3. Searching

Web search engines work by storing information about many web pages, which they retrieve from the WWW itself. These pages are retrieved by a Web crawler (sometimes also known as a spider) — an automated Web browser which follows every link it sees. Exclusions can be made by the use of robots.txt. The contents of each page are then analyzed to determine how it should be indexed (for example, words are extracted from the titles, headings, or special fields called meta tags). Data about web pages are stored in an index database for use in later queries. Some search engines, such as Google, store all or part of the source page (referred to as a cache) as well as information about the web pages, whereas others, such as AltaVista, store every word of every page they find. This cached page always holds the actual search text since it is the one that was actually indexed, so it can be very useful when the content of the current page has been updated and the search terms are no longer in it. This problem might be considered to be a mild form of linkrot, and Google’s handling of it increases usability by satisfying user expectations that the search terms will be on the returned webpage. This satisfies the principle of least astonishment since the user normally expects the search terms to be on the returned pages. Increased search relevance makes these cached pages very useful, even beyond the fact that they may contain data that may no longer be available elsewhere.

When a user enters a query into a search engine (typically by using key words), the engine examines its index and provides a listing of best-matching web pages according to its criteria, usually with a short summary containing the document’s title and sometimes parts of the text. Most search engines support the use of the boolean operators AND, OR and NOT to further specify the search query. Some search engines provide an advanced feature called proximity search which allows users to define the distance between keywords.

The usefulness of a search engine depends on the relevance of the result set it gives back. While there may be millions of webpages that include a particular word or phrase, some pages may be more relevant, popular, or authoritative than others. Most search engines employ methods to rank the results to provide the “best” results first. How a search engine decides which pages are the best matches, and what order the results should be shown in, varies widely from one engine to another. The methods also change over time as Internet usage changes and new techniques evolve.

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