A search engine is a software system that is designed to carry out web searches. They search the World Wide Web in a systematic way for particular information specified in a textual web search query. The search results are generally presented in a line of results, often referred to as search engine results pages (SERPs).
AltaVista (acquired by Yahoo! in 2003, shut down in 2013) Bixee.com (India) (acquired by Ibibo) Blekko (acquired by IBM in 2015 for its use for Watson -based products) BlogScope (acquired by Marketwire) Brainboost (acquired by Answers, Inc.) BRS/Search (now OpenText Livelink ECM Discovery Server) Btjunkie.
A search engine is an information retrieval system designed to help find information stored on a computer system. The search results are usually presented in a list and are commonly called hits.
Search engines use robots to ‘crawl’ online content. The process of crawling is the first measure that search engines take before indexing content in virtually any form–videos, text, images, webpages, etc..The content may constitute newly uploaded content to the internet or content that features updates or changes to its material. These robots, als...
After the bots crawl content, it can be indexed in the database and arranged in terms of its relevance. If internet content has not been crawled or indexed, it is unlikely to appear in the search results when someone makes a query no matter how relevant that content may be. After the content has been crawled, each of its words is indexed. The searc...
Ranking is a complex process that is dependent on search engine algorithms. When a searcher makes a query on Google looking for anything from 19th century British landscape painters to New York City plumbers, the search engine will generate a list of good matches to that query. How these matches appear in the list relates to its rank. The search en...
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Popularity – See Google's trending toolbelow.Usage – Identify a term's notability. (See for example Google's ngram tool.)Genuineness – Identify a spurious hoax or an urban legend.Notability– Decide whether a page should be nominated for deletion.
- Some Search Engine Tests
- Good-Faith Searching: A Rule of Thumb
- Search Engine Tests
- Search Engine Tests and Wikipedia Policies
- Using Search Engines
- Interpreting Results
- Search Engine Limitations – Technical Notes
- Common Search Engines
- Specialized Search Engines
- Generalized Search Engines
If an unsourced addition to an article appears plausible, consider taking a moment to use a suitable search engine to find a reliable source before deciding whether to revert.
Depending on the subject matter, and how carefully it is used, a search engine test can be very effective and helpful, or produce misleading or non-useful results. In most cases, a search engine test is a first-pass heuristic or "rule of thumb".
Search engine tests may return results that are fictitious, biased, hoaxes or similar. It is important to consider whether the information used derives from reliable sourcesbefore using or citing it. Less reliable sources may be unhelpful, or need their status and basis clarified, so that other readers gain a neutral and informed understanding to judge how reliable the sources are.
Google (and other search systems) do not aim for a neutral point of view. Wikipedia does. Google indexes self-created pages and media pages which do not have a neutrality policy. Wikipedia has a neutrality policy that is mandatoryand applies to all articles, and all article-related editorial activity. As such, Google is specifically nota source of neutral titles – only of popular ones. Neutrality is mandatory on Wikipedia (including deciding what things are called) even if not elsewhere, and...
Raw "hit" (search result) count is a very crude measure of importance. Some unimportant subjects have many "hits", some notable ones have few or none, for reasons discussed further down this page. Hit-count numbers alone can only rarely "prove" anything about notability, without further discussion of the type of hits, what's been searched for, how it was searched, and what interpretation to give the results. On the other hand, examining the types of hit arising [clarification needed] (or thei...
Search engine expressions
This section explains some search expressions used in Google web search. Similar approaches will work in many other search engines, and other Google searches, but always read their help pages for further information as search engines' capabilities and operation often differ. Note that if you are signed in to a Google account when searching on Google then this may affect the results that you get, based on your search history.Also be sure to check "Languages for Displaying (Search) Results" in...
Specific uses of search engines in Wikipedia
1. Google Trends can allow you to find which rendering of a word or name is most searched for, like this (note: sports category) or like this. "Tidal wave" vs. "Tsunami" example, see also the Google Books example below. 2. Google Books has a pattern of coverage that is in closer accord with traditional encyclopedia content than is the Web, taken as a whole; if it has systemic bias, it is a very different systemic bias from Google Web searches. Multiple hits on an exact phrase in Google Book s...
A raw hit count should never be relied upon to prove notability. Attention should instead be paid to what (the books, news articles, scholarly articles, and web pages) is found, and whether they actually dodemonstrate notability or non-notability, case by case. Hit counts have always been, and very likely always will remain, an extremely erroneous tool for measuring notability, and should not be considered either definitive or conclusive. A manageable sample of results found should be opened...
Biases to be aware of
In most cases, search results should be reviewed with an awareness and careful skepticism before relying upon them. Common biases include:
Foreign languages, non-Latin scripts, and old names
Often for items of non-English origin, or in non-Latin scripts, a considerably larger number of hits result from searching in the correct script or for various transcriptions—be sure to check "Languages for Displaying (Search) Results" in "Search Settings". An Arabic name, for instance, needs to be searched for in the original script, which is easily done with Google (provided one knows what to search for), but problems may arise if – for example – English, French and German webpages transcri...
Many, probably most, of the publicly available web pages in existence are not indexed. Each search engine captures a different percentage of the total. Nobody can tell exactly what portion is captured. The estimated size of the World Wide Web is at least 11.5 billion pages, but a much deeper (and larger) Web, estimated at over 3 trillion pages, exi...
The most common search engines are Google, Bing, and Yahoo, but the most useful search engine, which depend on a context, may not be the most common ones. Google groups archives Usenet. Because it covers over twenty years, it one of the oldest archives on record, going back to the beginning of the web.
Google Scholar works well for fields that are paper-oriented and have an online presence in all (or nearly all) respected venues. This search engine is a good complement for the commercially available Thompson ISI Web of Knowledge, especially in the areas which are not well covered in the latter, including books, conference papers, non-American jou...
Several generalized search engines exist. These adapt your query to many search engines.Web browsers offer a choice of search engines to choose to employ for the search box, and these can be used one at a time to experiment with search results. Meta-search engines use several search engines at once. Ten popular ones from About.com offer reviews. A ...
Wikipedia uses a powerful search engine, with a search box on every page. The search box will navigate directly to a given page name upon an exact match. But, you can force it to show you other pages that include your search string by including a tilde character ~ anywhere in the query. The maximum search string is 300 characters long.