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Indexing means associating words and other definable tokens found on web pages to their domain names and HTML -based fields. The associations are made in a public database, made available for web search queries. A query from a user can be a single word, multiple words or a sentence. The index helps find information relating to the query as quickly as possible.

Between visits by the spider , the cached version of page some or all the content needed to render it stored in the search engine working memory is quickly sent to an inquirer. If a visit is overdue, the search engine can just act as a web proxy instead. In this case the page may differ from the search terms indexed. Typically when a user enters a query into a search engine it is a few keywords.

The real processing load is in generating the web pages that are the search results list: Every page in the entire list must be weighted according to information in the indexes. These are only part of the processing each search results web page requires, and further pages next to the top require more of this post processing. Beyond simple keyword lookups, search engines offer their own GUI- or command-driven operators and search parameters to refine the search results. These provide the necessary controls for the user engaged in the feedback loop users create by filtering and weighting while refining the search results, given the initial pages of the first search results.

For example, from the Google. Boolean operators are for literal searches that allow the user to refine and extend the terms of the search. The engine looks for the words or phrases exactly as entered. Some search engines provide an advanced feature called proximity search , which allows users to define the distance between keywords. As well, natural language queries allow the user to type a question in the same form one would ask it to a human.

The usefulness of a search engine depends on the relevance of the result set it gives back. While there may be millions of web pages 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.

There are two main types of search engine that have evolved: one is a system of predefined and hierarchically ordered keywords that humans have programmed extensively. The other is a system that generates an " inverted index " by analyzing texts it locates. This first form relies much more heavily on the computer itself to do the bulk of the work. Most Web search engines are commercial ventures supported by advertising revenue and thus some of them allow advertisers to have their listings ranked higher in search results for a fee.

Search engines that do not accept money for their search results make money by running search related ads alongside the regular search engine results. The search engines make money every time someone clicks on one of these ads. Local search is the process that optimizes efforts of local businesses. They focus on change to make sure all searches are consistent. It's important because many people determine where they plan to go and what to buy based on their searches.

As of March [update] , [40] Google is the world's most used search engine, with a market share of In Russia, Yandex has a market share of Japan and Yahoo! Taiwan are the most popular avenues for Internet searches in Japan and Taiwan, respectively. Google was previously a top search engine in China, but had to withdraw after failing to follow China's laws. Most countries' markets in Western Europe are dominated by Google, except for the Czech Republic , where Seznam is a strong competitor.

Although search engines are programmed to rank websites based on some combination of their popularity and relevancy, empirical studies indicate various political, economic, and social biases in the information they provide [47] [48] and the underlying assumptions about the technology. Biases can also be a result of social processes, as search engine algorithms are frequently designed to exclude non-normative viewpoints in favor of more "popular" results.

Google Bombing is one example of an attempt to manipulate search results for political, social or commercial reasons. Several scholars have studied the cultural changes triggered by search engines, [52] and the representation of certain controversial topics in their results, such as terrorism in Ireland , [53] climate change denial , [54] and conspiracy theories.

Many search engines such as Google and Bing provide customized results based on the user's activity history. This leads to an effect that has been called a filter bubble. The term describes a phenomenon in which websites use algorithms to selectively guess what information a user would like to see, based on information about the user such as location, past click behaviour and search history.

As a result, websites tend to show only information that agrees with the user's past viewpoint. This puts the user in a state of intellectual isolation without contrary information. Prime examples are Google's personalized search results and Facebook 's personalized news stream. According to Eli Pariser , who coined the term, users get less exposure to conflicting viewpoints and are isolated intellectually in their own informational bubble. Pariser related an example in which one user searched Google for "BP" and got investment news about British Petroleum while another searcher got information about the Deepwater Horizon oil spill and that the two search results pages were "strikingly different".

Other scholars do not share Pariser's view, finding the evidence in support of his thesis unconvincing. The global growth of the Internet and electronic media in the Arab and Muslim World during the last decade has encouraged Islamic adherents in the Middle East and Asian sub-continent , to attempt their own search engines, their own filtered search portals that would enable users to perform safe searches.

More than usual safe search filters, these Islamic web portals categorizing websites into being either " halal " or " haram ", based on interpretation of the "Law of Islam". ImHalal came online in September Halalgoogling came online in July These use haram filters on the collections from Google and Bing and others. While lack of investment and slow pace in technologies in the Muslim World has hindered progress and thwarted success of an Islamic search engine, targeting as the main consumers Islamic adherents, projects like Muxlim , a Muslim lifestyle site, did receive millions of dollars from investors like Rite Internet Ventures, and it also faltered.

SeekFind filters sites that attack or degrade their faith. Web search engine submission is a process in which a webmaster submits a website directly to a search engine. While search engine submission is sometimes presented as a way to promote a website, it generally is not necessary because the major search engines use web crawlers that will eventually find most web sites on the Internet without assistance. They can either submit one web page at a time, or they can submit the entire site using a sitemap , but it is normally only necessary to submit the home page of a web site as search engines are able to crawl a well designed website.

There are two remaining reasons to submit a web site or web page to a search engine: to add an entirely new web site without waiting for a search engine to discover it, and to have a web site's record updated after a substantial redesign. Some search engine submission software not only submits websites to multiple search engines, but also adds links to websites from their own pages.

This could appear helpful in increasing a website's ranking, because external links are one of the most important factors determining a website's ranking. However, John Mueller of Google has stated that this "can lead to a tremendous number of unnatural links for your site" with a negative impact on site ranking.

From Wikipedia, the free encyclopedia. Software system that is designed to search for information on the World Wide Web. For other uses, see Search engine disambiguation. For a tutorial on using search engines for researching Wikipedia articles, see Wikipedia:Search engine test. This article needs more complete citations for verification.

Please help improve this article by adding missing citation information so that sources are clearly identifiable. Citations should include title, publication, author, date, and for paginated material the page number s. Several templates are available to assist in formatting.

Improperly sourced material may be challenged and removed. September Learn how and when to remove this template message. Further information: Timeline of web search engines. Main article: Search engine technology. Comparison of web search engines Information retrieval List of search engines Question answering Filter bubble Google effect Use of web search engines in libraries Semantic Web Spell checker Web development tools Search engine manipulation effect Search engine privacy.

Retrieved February ". Archived from the original on September Retrieved 5 September ISBN Archived from the original on 28 November Retrieved 16 June Google Patents. Archived from the original on 15 October Retrieved 19 October Archived from the original PDF on Los Angeles Times. Search Engines. Penn State Pressbooks.

Retrieved February 20, International Journal of Industrial Organization. The Discoverability of the Web. Real life, real users, and real needs: A study and analysis of user queries on the web. Google Operating System. Retrieved 22 February Retrieved 10 September Search Engine Journal. StatCounter GlobalStats. Retrieved April 8, Live Internet. The Guardian. The Wall Street Journal. Oxford Internet Institute.

Retrieved 15 August The Atlantic. CiteSeerX The Information Society. S2CID December 24, Archived from the original on BBC News. Thomson Reuters. How long will the transition take? Retrieved 10 May Google Webmaster Central Blog. August 10, June 8, September 8, September 9, Wall Street Journal.

Wired Magazine. November 21, Marketing Land. Inside Search: The official Google Search blog. CNN Money. The Official Google Blog. Prothomalo in Bengali. Search Engine Roundtable. Timelines of computing. Before — s s s s s Scientific Women in computing.

Internet conflicts Web browsers Web search engines. Categories : Computing timelines History of the Internet. Namespaces Article Talk. Views Read Edit View history. Help Learn to edit Community portal Recent changes Upload file. Download as PDF Printable version.

Add links. Hardware before Hardware s to present. Software Unix Free software and open-source software. Artificial intelligence Compiler construction Early computer science Operating systems Programming languages Prominent pioneers Software engineering. WHOis [1] [2]. September [3]. The Archie search engine , created by Alan Emtage [4] [5] [6] [7] computer science student at McGill University in Montreal , goes live. The program downloads the directory listings of all the files located on public anonymous FTP File Transfer Protocol sites, creates a searchable database of a lot of file names; however, Archie does not index the contents of these sites since the amount of data is so limited it can be readily searched manually.

Like Archie, they search the file names and titles stored in Gopher index systems. While the name of the search engine "Archie" was not a reference to the Archie comic book series, " Veronica " and " Jughead " are characters in the series, thus referencing their predecessor. Tim Berners-Lee sets up the Virtual Library VLib , a loose confederation of topical experts maintaining relevant topical link lists.

Matthew K. Gray produces the first known web robot , the Perl -based World Wide Web Wanderer , and uses it to generate an index of the web called the Wandex. It is the world's first web search engine. It does not rely on a crawler and indexer but rather on already existing high-quality lists of websites.

One of its main drawbacks is that the bot accesses each page hundreds of times each day, causing performance degradation. Aliweb , a web search engine created by Martijn Koster , is announced. It does not use a web robot, but instead depends on being notified by website administrators of the existence at each site of an index file in a particular format. The absence of a bot means that less bandwidth is used; however, most website administrators are not aware of the need to submit their data.

First web search engine to use a crawler and indexer. JumpStation , created by Jonathon Fletcher , is released. It is the first WWW resource-discovery tool to combine the three essential features of a web search engine crawling, indexing, and searching. Infoseek is launched. The World-Wide Web Worm is released. It is claimed to have been created in September , at which time there did not exist any crawler-based search engine, but it is not the earliest at the time of its actual release.

It supports Perl -based regular expressions. Lycos , a web search engine, is released. Search is launched. It is a search function that allows users to search Yahoo! LookSmart is released. It competes with Yahoo! Altavista is launched. This is a first among web search engines in many ways: it has unlimited bandwidth, allows natural language queries, has search tips, and allows people to add or delete their domains in 24 hours.

Robin Li developed the RankDex site-scoring algorithm for search engines results page ranking [19] [20] [21] and received a US patent for the technology. The crawler begins activity in March. Inktomi releases its HotBot search engine. Gary Culliss and Steven Yang begin work at MIT on the popularity engine, a version of the Direct Hit Technologies search engine that ranks results across users according to the selections made during previous searches.

Ask Jeeves , a natural language web search engine, that aims to rank links by popularity, is released. It would later become Ask. The domain Google. Arkady Volozh and Ilya Segalovich launch their Russian web search engine Yandex and publicly present it at the Softool exhibition in Moscow. The initial development is by Comptek; Yandex would become a separate company in

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