Search This Blog

Sunday, January 5, 2020

Bing (search engine)

From Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Bing_(search_engine)
 
Bing logo (2016).svg
Bing logo as of January 2016
Bing screenshot.png
The Bing homepage features an image or video that changes daily
Type of site
Search Engine
Available in40 languages
OwnerMicrosoft
Created byMicrosoft
RevenueBing Ads
Websitewww.bing.com
Alexa rankDecrease 30 (December 2019)
CommercialYes
RegistrationOptional (Microsoft account)
LaunchedJune 3, 2009; 10 years ago
Current statusActive
Written inASP.NET

Bing is a web search engine owned and operated by Microsoft. The service has its origins in Microsoft's previous search engines: MSN Search, Windows Live Search and later Live Search. Bing provides a variety of search services, including web, video, image and map search products. It is developed using ASP.NET.

Bing, Microsoft's replacement for Live Search, was unveiled by Microsoft CEO Steve Ballmer on May 28, 2009, at the All Things Digital conference in San Diego, California, for release on June 3, 2009. Notable new features at the time included the listing of search suggestions while queries are entered and a list of related searches (called "Explore pane") based on semantic technology from Powerset, which Microsoft had acquired in 2008.

In July 2009, Microsoft and Yahoo! announced a deal in which Bing would power Yahoo! Search. All Yahoo! Search global customers and partners made the transition by early 2012. The deal was altered in 2015, meaning Yahoo! was only required to use Bing for a "majority" of searches.

In October 2011, Microsoft stated that they were working on new back-end search infrastructure with the goal of delivering faster and slightly more relevant search results for users. Known as "Tiger", the new index-serving technology had been incorporated into Bing globally since August that year. In May 2012, Microsoft announced another redesign of its search engine that includes "Sidebar", a social feature that searches users' social networks for information relevant to the search query.

As of October 2018, Bing is the third largest search engine globally, with a query volume of 4.58%, behind Google (77%) and Baidu (14.45%). Yahoo! Search, which Bing largely powers, has 2.63%.

History


MSN Search

MSN Search homepage in 2002
MSN Search homepage in 2006
 
Microsoft originally launched MSN Search in the third quarter of 1998, using search results from Inktomi. It consisted of a search engine, index, and web crawler. In early 1999, MSN Search launched a version which displayed listings from Looksmart blended with results from Inktomi except for a short time in 1999 when results from AltaVista were used instead. Microsoft decided to make a large investment in web search by building its own web crawler for MSN Search, the index of which was updated weekly and sometimes daily. The upgrade started as a beta program in November 2004, and came out of beta in February 2005. This occurred a year after rival Yahoo! Search rolled out its own crawler too. Image search was powered by a third party, Picsearch. The service also started providing its search results to other search engine portals in an effort to better compete in the market.

Windows Live Search

Windows Live Search homepage
 
The first public beta of Windows Live Search was unveiled on March 8, 2006, with the final release on September 11, 2006 replacing MSN Search. The new search engine used search tabs that include Web, news, images, music, desktop, local, and Microsoft Encarta.

In the roll-over from MSN Search to Windows Live Search, Microsoft stopped using Picsearch as their image search provider and started performing their own image search, fueled by their own internal image search algorithms.

Live Search

Live Search homepage, which would help to create the Bing homepage later on
 
On March 21, 2007, Microsoft announced that it would separate its search developments from the Windows Live services family, rebranding the service as Live Search. Live Search was integrated into the Live Search and Ad Platform headed by Satya Nadella, part of Microsoft's Platform and Systems division. As part of this change, Live Search was merged with Microsoft adCenter.

A series of reorganisations and consolidations of Microsoft's search offerings were made under the Live Search branding. On May 23, 2008, Microsoft announced the discontinuation of Live Search Books and Live Search Academic and integrated all academic and book search results into regular search, and as a result this also included the closure of Live Search Books Publisher Program. Soon after, Windows Live Expo was discontinued on July 31, 2008. Live Search Macros, a service for users to create their own custom search engines or use macros created by other users, was also discontinued shortly after. On May 15, 2009, Live Product Upload, a service which allowed merchants to upload products information onto Live Search Products, was discontinued. The final reorganisation came as Live Search QnA was rebranded as MSN QnA on February 18, 2009, however, it was subsequently discontinued on May 21, 2009.

Rebrand as Bing

First Bing logo used until September 2013
Second Bing logo used from 2013 until 2016
 
Microsoft recognised that there would be a problem with branding as long as the word "Live" remained in the name. As an effort to create a new identity for Microsoft's search services, Live Search was officially replaced by Bing on June 3, 2009.

The Bing name was chosen through focus groups, and Microsoft decided that the name was memorable, short, easy to spell, and that it would function well as a URL around the world. The word would remind people of the sound made during "the moment of discovery and decision making." Microsoft was assisted by branding consultancy Interbrand in their search for the best name for the new search engine. The name also has strong similarity to the word 'bingo', which is used to mean that something sought has been found or realized, as is interjected when winning the game Bingo. Microsoft advertising strategist David Webster originally proposed the name "Bang" for the same reasons the name Bing was ultimately chosen (easy to spell, one syllable, and easy to remember). He noted, "It's there, it's an exclamation point [...] It's the opposite of a question mark." This name was ultimately not chosen because it could not be properly used as a verb in the context of an internet search; Webster commented "Oh, 'I banged it' is very different than 'I binged it'".

According to the Guardian "[Microsoft] hasn't confirmed that it stands recursively for Bing Is Not Google, but that's the sort of joke software engineers enjoy." Qi Lu, president of Microsoft Online Services, also announced that Bing's official Chinese name is bì yìng (simplified Chinese: 必应; traditional Chinese: 必應), which literally means "very certain to respond" or "very certain to answer" in Chinese.

While being tested internally by Microsoft employees, Bing's codename was Kumo (くも), which came from the Japanese word for spider (蜘蛛; くも, kumo) as well as cloud (; くも, kumo), referring to the manner in which search engines "spider" Internet resources to add them to their database, as well as cloud computing.

Legal challenges

On July 31, 2009, The Laptop Company, Inc. stated in a press release that it would challenge Bing's trademark application, alleging that Bing may cause confusion in the marketplace as Bing and their product BongoBing both do online product search. Software company TeraByte Unlimited, which has a product called BootIt Next Generation (abbreviated to BING), also contended the trademark application on similar grounds, as did a Missouri-based design company called Bing! Information Design.

Microsoft contended that claims challenging its trademark were without merit because these companies filed for U.S. federal trademark applications only after Microsoft filed for the Bing trademark in March 2009.

Yahoo! search deal

On July 29, 2009, Microsoft and Yahoo! announced that they had made a ten-year deal in which the Yahoo! search engine would be replaced by Bing, retaining the Yahoo! user interface. Yahoo! will get to keep 88% of the revenue from all search ad sales on its site for the first five years of the deal, and have the right to sell advertising on some Microsoft sites. All Yahoo! Search global customers and partners made the transition by early 2012.

Features


Interface features

  • Daily changing of background image. The images are mostly of noteworthy places in the world, though it sometimes displays animals, people, and sports. The background image also contains information about the element(s) shown in the image
  • Video homepage for HTML5 enabled browsers on occasional events, similar to the daily background images
  • Images page shows the main picture from that day and four searches that refers to that image with three preview pictures per search term
  • Left side navigation pane. Includes navigation and, on results pages, related searches and prior searches
  • Right side extended preview which shows a bigger view of the page and gives URLs to links inside of the page
  • Sublinks – On certain search results, the search result page also shows section links within the article (this is also done on other search engines, including Google)
  • Enhanced view where third party site information can be viewed inside Bing
  • On certain sites, search from within the website on the results page
  • On certain sites, Bing will display the Customer Service number on the results page
  • Access to MSN, Office Online, and Outlook.com, straight from the homepage

Media features

  • Video thumbnail Preview – where, by hovering over a video thumbnail, the video automatically starts playing
  • Image search with continuous scrolling images results page that has adjustable settings for size, layout, color, style, and people
  • Advanced filters or advanced (query) operators – allow users to refine search results based on properties such as image size, aspect ratio, color or black and white, photo or illustration, and facial features recognition
  • Video search with adjustable setting for length, screen size, resolution, and source

Instant answers

  • Sports – Bing can directly display scores from a specific day, recent scores from a league or scores and statistics on teams or players.
  • Finance – When entering a company name or stock symbol and either stock or quote in the search box Bing will show direct stock information like a stockchart, price, volume, and p/e ratio in a webslice that users can subscribe to.
  • Conversion of units (e.g., 1 oz in tbs, 1 cup in oz)
  • Mathematical calculations – (e.g., 2 *pi *24). Users can enter mathematical expressions in the search box using a variety of operators and trigonometric functions[32] and Bing will provide a direct calculation of the expression.
  • Advanced computations – Using the Wolfram Alpha computational engine, Bing can also give results to advanced mathematical problems (e.g. "lim x/2x as x->2") and other Wolfram Alpha-related queries (e.g., asking the number of calories in a typical pizza).
  • Package tracking and tracing – When a user types the name of the shipping company and the tracking number, Bing will provide direct tracking information
  • Dictionary – When "define", "definition", or "what is" followed by a word is entered in the searchbox Bing will show a direct answer from the Oxford English Dictionary
  • Spell check – Will change frequently misspelled search terms to the more commonly spelled alternative.
  • Best match (plus similar sites)
  • Product shopping and "Bing cashback"
  • Health information
  • Flight tracking
  • Translate – Auto translation of certain search phrases, often with phrases including "translate" or "in English". For example, to translate me llamo from Spanish to English the user would simply type "translate me llamo in English" and he or she would be redirected to a search results page with Bing Translator with the translation from Spanish to English

Local info

  • Current traffic information
  • Business listing
  • People listing
  • Collections
  • Localized searching for restaurants and services
  • Localized searching for coupons and deals
  • Restaurant reviews
  • Movies played in an area – When a current movie title is entered in the search box Bing will provide listings of local theaters showing the movie. When a city is added to the search box, Bing provides the movie listings localized for that city.
  • City hotel listings – When "hotels" and a city name is entered in the search box Bing can provide hotel listings with a map. The listing leads to a detail search page with the hotels listed that holds extended information on the hotels and contains links to reviews, directions reservations and bird-eye view of the hotel. On the page with the listings the list can be refined by settings on ratings, pricing, amenities, payment, and parking

Third-party integration

Facebook users have the option to share their searches with their Facebook friends using Facebook Connect.

On June 10, 2013, Apple announced that it would be dropping Google as its web search engine in favour of Bing. This feature is only integrated with iOS 7 and higher and for users with an iPhone 4S or higher as the feature is only integrated with Siri, Apple's personal assistant.

Integration with Windows 8

Windows 8.1 includes Bing "Smart Search" integration, which processes all queries submitted through the Windows Start Screen. The Bing integration captures a variety of features, one of the most prominent and advertised: Hero Search. This feature allows users to browse for popular and well-known places, objects or people. Searching France, for example, will show popular search items, such as population, calling code and date founded. The current weather and location are also directly accessible using Bing Weather and Bing maps. The "Hero" result will go further to provide attractions using Bing Images and popular websites relating to France, such as France Wikipedia and France's official website. Searching an artist will display similar results with the option to play music using the Windows 8-integrated Groove Music application.

Translator

Bing Translator is a user facing translation portal provided by Microsoft to translate texts or entire web pages into different languages. All translation pairs are powered by the Microsoft Translator, a statistical machine translation platform and web service, developed by Microsoft Research, as its backend translation software. Two transliteration pairs (between Chinese (Simplified) and Chinese (Traditional)) are provided by Microsoft's Windows International team. As of January 2020, Bing Translator offers translations in 60 different language systems.

Bing Translator can translate phrases entered by the user or acquire a link to a web page and translate its entirely. When translating an entire web page, or when the user selects "Translate this page" in Bing search results, the Bilingual Viewer is shown, which allows users to browse the original web page text and translation in parallel, supported by synchronized highlights, scrolling, and navigation. Four Bilingual Viewer layouts are available: side by side, top and bottom, original with hover translation and translation with hover original.

Knowledge and Action Graph

In 2015 Microsoft announced its knowledge and action API to correspond with Google's Knowledge graph with 1 billion instances and 20 billion related facts.

Bing Predicts

The idea for a prediction engine was first suggested by Walter Sun, Development Manager for the Core Ranking team at Bing, when he noticed that school districts were more frequently searched before a major weather event in the area was forecasted, because searchers wanted to find out if a closing or delay was caused. He concluded that the time and location of major weather events could accurately be predicted without referring to a weather forecast by observing major increases in search frequency of school districts in the area. This inspired Bing to use its search data to infer outcomes of certain events, such as winners of reality shows. Bing Predicts launched on April 21, 2014. The first reality shows to be featured on Bing Predicts were The Voice, American Idol, and Dancing with the Stars.

The prediction accuracy for Bing Predicts is 80% for American Idol, and 85% for The Voice. Bing Predicts also predicts the outcomes of major political elections in the United States. Bing Predicts had 97% accuracy for the 2014 United States Senate elections, 96% accuracy for the 2014 United States House of Representatives elections, and an 89% accuracy for the 2014 United States gubernatorial elections. Bing Predicts also made predictions for the results of the 2016 United States presidential primaries. It has also done predictions in sports, including a perfect 15 for 15 in the 2014 World Cup, leading to positive press such as a Business Insider story on its successes and a PC World article on how Microsoft CEO Satya Nadella did well in his March Madness bracket entry.

In 2016, Bing Predicts failed to accurately predict the winner of the 2016 presidential election, showing Hillary Clinton chance of wining by 81%.

International

Bing is available in many languages and has been localized for many countries. Even if the language of the search and of the results are the same, Bing delivers substantially different results for different parts of the world.

Languages in which Bing can find results


Languages in which Bing can be displayed

Search products

In addition to its tool for searching web pages, Bing also provides the following search offerings:

Service Description
Advertising Formally known as adCenter, Bing Ads allows publishers to purchase pay per click advertising on Bing.[49]
Dictionary Bing Dictionary enables users to quickly search for definitions of English words. Bing Dictionary results are based on the Oxford English Dictionary.[citation needed] In addition, Bing Dictionary also provides an audio player for users to hear the pronunciation of the dictionary words.
Events Bing Events allow users to search for upcoming events from Zvents, and displays the date and time, venue details, brief description, as well as method to purchase tickets for the events listed. Users can also filter the search results by date and categories.
Finance Bing Finance enables users to search for exchange listed stocks and displays the relevant stock information, company profile and statistics, financial statements, stock ratings, analyst recommendations, as well as news related to the particular stock or company. Bing Finance also allow users to view the historical data of the particular stock, and allows comparison of the stock to major indices. In addition, Bing Finance also features a JavaScript-based Stock screener, allowing investors to quickly filter for value, contrarian, high-yield, and bargain investment strategies.
Health Bing Health refines health searches using related medical concepts to get relevant health information and to allow users to navigate complex medical topics with inline article results from experts. This feature is based on the Medstory acquisition.
Images Bing Images enables the user to quickly search and display most relevant photos and images of interest. The advance filters allow refining search results in terms of properties such as image size, aspect ratio, color or black and white, photo or illustration, and facial features recognition.
Local Bing Local searches local business listings with business details and reviews, allowing users to make more informed decisions.
Maps Bing Maps enables the user to search for businesses, addresses, landmarks and street names worldwide, and can select from a road-map style view, a satellite view or a hybrid of the two. Also available are "bird's-eye" images for many cities worldwide, and 3D maps which include virtual 3D navigation and to-scale terrain and 3D buildings. For business users it will be available as "Bing Maps For Enterprise".
News Bing News is a news aggregator and provides news results relevant to the search query from a wide range of online news and information services.
Recipe Bing Recipe allow users to search for cooking recipes sourced from Delish.com, MyRecipes.com, and Epicurious.com, and allow users to filter recipe results based on their ratings, cuisine, convenience, occasion, ingredient, course, cooking method, and recipe provider.
Reference Bing Reference semantically indexes Wikipedia content and displays them in an enhanced view within Bing.[citation needed] It also allow users to input search queries that resembles full questions and highlights the answer within search results. This feature is based on the Powerset acquisition.
Social Bing Social allow users to search for and retrieve real-time information from Twitter and Facebook services. Bing Social search also provides "best match" and "social captions" functionalities that prioritises results based on relevance and contexts. Only public feeds from the past 7 days will be displayed in Bing Social search results.
Translator Bing Translator lets users translate texts or entire web pages into different languages.
University Bing University allow users to search for and view detailed information about United States universities, including information such as admissions, cost, financial aid, student body, and graduation rate.
Videos Bing Videos enables the user to quickly search and view videos online from various websites. The Smart Preview feature allows the user to instantly watch a short preview of an original video. Bing Videos also allow users to access editorial video contents from MSN Video.
Visual Search Bing Visual Search (Announced Sept 2009, deprecated – July 2012) allowed users to refine their search queries for structured results through data-grouping image galleries that resembles "large online catalogues", powered by Silverlight
Weather Bing Weather allow users to search for the local weather for cities around the world, displaying the current weather information and also extended weather forecasts for the next 10 days. Weather information are provided by Intellicast and Foreca.
Wolfram Alpha Bing Wolfram Alpha allow users to directly enter factual queries within Bing and provides answers and relevant visualizations from a core knowledge base of curated, structured data provided by Wolfram Alpha. Bing Wolfram Alpha can also answer mathematical and algebraic questions.

Webmaster services

Bing allows webmasters to manage the web crawling status of their own websites through Bing Webmaster Center. Additionally, users may also submit contents to Bing via the Bing Local Listing Center, which allows businesses to add business listings onto Bing Maps and Bing Local. 

Mobile services

Bing Mobile allow users to conduct search queries on their mobile devices, either via the mobile browser or a downloadable mobile application. 

Developer services

Bing Application Programming Interface enables developers to programmatically submit queries and retrieve results from the Bing Engine.

To use the Bing API developers have to obtain an Application ID.

Bing API can be used with following protocols:
  • XML
  • JSON
  • SOAP
Query examples:
  • http://api.bing.net/xml.aspx?AppId=YOUR_APPID&Version=2.2&Market=en-US&Query=YOUR_QUERY&Sources=web+spell&Web.Count=1
  • http://api.bing.net/json.aspx?AppId=YOUR_APPID&Version=2.2&Market=en-US&Query=YOUR_QUERY&Sources=web+spell&Web.Count=1
  • http://api.bing.net/search.wsdl?AppID=YourAppId&Version=2.2

Bing News

Bing News (previously Live Search News)–a news aggregator powered by artificial intelligence–is a part of Microsoft's Bing search engine, which processes billions of global searches. Operating in the United States and other international markets, Bing News displays the latest news stories on Bing.com/News on desktop and mobile, the Bing Search app, and through enterprise streams such as the Outlook News Connector, PowerBI and Bing for business. Bing News also aggregates the most recent news articles in response to user search queries algorithmically on Bing.com. 

Features

News headlines from various sources are aggregated and categorized into sections for users to browse, which include most read, trending, and breaking news stories as well as category-specific articles in areas such as business, politics, sports, science, tech and entertainment. The Bing News page also displays special events of national or global interest such as the U.S. presidential elections, Olympics, and award shows.

Depending on the user's location, localized news. Multimedia content are also incorporated on the news pages, including images and videos with smart-motion thumbnails similar to Bing Videos.

Bing News also allow users to type in a search term to browse through an archive of news articles relevant to the search query. In addition, users may refine their results by location and category, or search with an alternative related search term. RSS support was added on April 24, 2008, providing support for subscription to a specific news category or search results. In March 2011 Microsoft added Twitter "tweets" to its news results.

In August 2015 Microsoft announced that Bing News for mobile devices added algorithmic-deduced "smart labels" that essentially act as topic tags, allowing users to click through and explore possible relationships between different news stories. The feature emerged as a result from Microsoft research that found out about 60% of the people consume news by only reading headlines, rather than read the articles. Other labels that have been deployed since then include publisher logos and fact-check tags.

In June 2016, Bing News PubHub (pubhub.bing.com) launched, allowing publishers to submit their news sites for consideration of inclusion in Bing News. Distribution streams for the Bing Publisher Network extend beyond Bing News and Bing.com to Windows 10's Cortana, the Outlook News Connector, and the Bing search app on iOS and Android.

Bing News provides Industry News for Bing for Business, an enterprise search experience for Office 365 and Microsoft 365 using artificial intelligence and Microsoft Graph announced at the 2017 Microsoft Ignite Conference. The Bing for business Industry News delivers a personalized newsfeed about the organization's activities, competitors, and industry.

Software


Toolbars

The Bing Bar, a browser extension toolbar that replaced the MSN Toolbar, provides users with links to Bing and MSN content from within their web browser without needing to navigate away from a web page they are already on. The user can customize the theme and color scheme of the Bing Bar as well as choose which MSN content buttons to present within the user interface. Bing Bar also displays the current local weather forecast and stock market positions.

The Bing Bar features integration with Microsoft Bing search engine. In addition to the traditional web search functions, Bing Bar also allows search on other Bing services such as Images, Video, News and Maps. When users perform a search on another search engine, the Bing Bar's search box will automatically populate itself, allowing the user to view the results from Bing, should it be desired.

Bing Bar also links to Outlook.com, Skype and Facebook.

Desktop

Bing Desktop 1.3.475.0

Microsoft released a beta version of Bing Desktop, a program developed to allow users to search Bing from the desktop, on April 4, 2012. The initial release followed shortly on April 24, 2012, supporting Windows 7 only. With the release of version 1.1 in December 2012 it supported Windows XP and higher.

Bing Desktop allows users to initiate a web search from the desktop, view news headlines, automatically set their background to the Bing homepage image, or choose a background from the previous nine background images.

The discontinued Live Search versions of the Windows Sidebar gadgets
 
A similar program, the Bing Search gadget, was a Windows Sidebar Gadget that used Bing to fetch the user's search results and render them directly in the gadget. Another gadget, the Bing Maps gadget, displayed real-time traffic conditions using Bing Maps. The gadget provided shortcuts to driving directions, local search and full-screen traffic view of major US and Canadian cities, including Atlanta, Boston, Chicago, Denver, Detroit, Houston, Los Angeles, Milwaukee, Montreal, New York City, Oklahoma City, Ottawa, Philadelphia, Phoenix, Pittsburgh, Portland, Providence, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, St. Louis, Tampa, Toronto, Vancouver, and Washington, D.C.
 
Prior to October 30, 2007, the gadgets were known as Live Search gadget and Live Search Maps gadget; both gadgets were removed from Windows Live Gallery due to possible security concerns. The Live Search Maps gadget was made available for download again on January 24, 2008 with the security concern addressed. However around the introduction of Bing in June 2009 both gadgets have been removed again for download from Windows Live Gallery

Market share

Before the launch of Bing, the market share of Microsoft web search pages (MSN and Live search) had been small. By January 2011, Experian Hitwise show that Bing's market share had increased to 12.8% at the expense of Yahoo! and Google. In the same period, comScore's "2010 U.S. Digital Year in Review" report showed that "Bing was the big gainer in year-over-year search activity, picking up 29% more searches in 2010 than it did in 2009". The Wall Street Journal notes the 1% jump in share "appeared to come at the expense of rival Google Inc". In February 2011, Bing beat Yahoo! for the first time with 4.37% search share while Yahoo! received 3.93%.

Counting core searches only, i.e., those where the user has an intent to interact with the search result, Bing had a market share of 14.54% in the second quarter of 2011 in the United States.

The combined "Bing Powered" U.S. searches declined from 26.5% in 2011 to 25.9% in April 2012. By November 2015, its market share had declined further to 20.9%. As of October 2018, Bing is the third largest search engine in the US, with a query volume of 4.58%, behind Google (77%) and Baidu(14.45%). Yahoo! Search, which Bing largely powers, has 2.63%.

Marketing and advertisements


Live Search

Since 2006, Microsoft had conducted a number of tie-ins and promotions for promoting Microsoft's search offerings. These include:
  • Amazon's A9 search service and the experimental Ms. Dewey interactive search site syndicated all search results from Microsoft's then search engine, Live Search. This tie-in started on May 1, 2006.
  • Search and Give – a promotional website launched on January 17, 2007 where all searches done from a special portal site would lead to a donation to the UNHCR's organization for refugee children, ninemillion.org. Reuters AlertNet reported in 2007 that the amount to be donated would be $0.01 per search, with a minimum of $100,000 and a maximum of $250,000 (equivalent to 25 million searches). According to the website the service was decommissioned on June 1, 2009, having donated over $500,000 to charity and schools.
  • Club Bing – a promotional website where users can win prizes by playing word games that generate search queries on Microsoft's then search service Live Search. This website began in April 2007 as Live Search Club.
  • Big Snap Search – a promotional website similar to Live Search Club. This website began in February 2008, but was discontinued shortly after.
  • Live Search SearchPerks! - a promotional website which allowed users to redeem tickets for prizes while using Microsoft's search engine. This website began on October 1, 2008 and was decommissioned on April 15, 2009.

Debut

Bing's debut featured an $80 to $100 million online, TV, print, and radio advertising campaign in the US. The advertisements do not mention other search engine competitors, such as Google and Yahoo!, directly by name; rather, they attempt to convince users to switch to Bing by focusing on Bing's search features and functionality. The ads claim that Bing does a better job countering "search overload".

"Decision engine"

Bing has been heavily advertised as a "decision engine", though thought by columnist David Berkowitz to be more closely related to a web portal.

Bing Rewards

Bing Rewards was a loyalty program launched by Microsoft in September 2010. It was similar to two earlier services, SearchPerks! and Bing Cashback, which were subsequently discontinued.

Bing Rewards provided credits to users through regular Bing searches and special promotions. These credits were then redeemed for various products including electronics, gift cards, sweepstakes, and charitable donations. Initially, participants were required to download and use the Bing Bar for Internet Explorer in order to earn credits; but later the service was made to work with all desktop browsers.

The Bing Rewards program was rebranded as "Microsoft Rewards" in 2016, at which point it was modified to only two levels, Level 1 and Level 2. Level 1 is similar to "Member", and Level 2 is similar to "Gold" of the previous Bing Rewards.

The Colbert Report

During the episode of The Colbert Report that aired on June 8, 2010, Stephen Colbert stated that Microsoft would donate $2,500 to help clean up the Gulf oil spill each time he mentioned the word "Bing" on air. Colbert mostly mentioned Bing in out-of-context situations, such as Bing Crosby and Bing cherries. By the end of the show, Colbert had said the word 40 times, for a total donation of $100,000. Colbert poked fun at their rivalry with Google, stating "Bing is a great website for doing Internet searches. I know that, because I Googled it."

Search deals

Bing was added into the list of search engines available in Opera browser from v10.6, but Google remained the default search engine. Mozilla Firefox made a deal with Microsoft to jointly release "Firefox with Bing", an edition of Firefox where Bing has replaced Google as the default search engine. The standard edition of Firefox has Google as its default search engine, but has included Bing in its list of search providers since Firefox version 4.0.

In addition, Microsoft paid Verizon Wireless US$550 million to use Bing as the default search provider on Verizon's BlackBerry and have Verizon "turn off" (via BlackBerry service books) the other search providers available. Users could still access other search engines via the mobile browser.

Bing It On

In 2012, a Bing marketing campaign asked the public which search engine they believed was better when its results were presented without branding, similar to the Pepsi Challenge in the 1970s. This poll was nicknamed "Bing It On". Microsoft presented a study of almost 1,000 people which showed that 57% of participants in such a test preferred Bing's results, with only 30% preferring Google.

Adult content

Bing censors results for "adult" search terms for some regions, including India, People's Republic of China, Germany and Arab countries where required by local laws. However, Bing allows users to change their country or region preference to somewhere without restrictions, such as the United States, United Kingdom or Republic of Ireland.

Criticism


Censorship

Microsoft has been criticized for censoring Bing search results to queries made in simplified Chinese characters which are used in mainland China. This is done to comply with the censorship requirements of the government in China. Microsoft has not indicated a willingness to stop censoring search results in simplified Chinese characters in the wake of Google's decision to do so. All simplified Chinese searches in Bing are censored regardless of the user's country. The English-language search results of Bing in China has been skewed to show more content from state-run media like Xinhua News Agency and China Daily. On 23 January 2019, Bing was blocked in China. On 24 January, Bing was accessible again in China.

On February 20, 2017, Bing agreed to a voluntary United Kingdom code of practice obligating it to demote links to copyright-infringing content in its search results.

Performance issues

Bing has been criticized for being slower to index websites than Google. It has also been criticized for not indexing some websites at all.

Allegedly copying Google's results

Bing has been criticized by competitor Google for utilizing user input via Internet Explorer, the Bing Toolbar, or Suggested Sites, to add results to Bing. After discovering in October 2010 that Bing appeared to be imitating Google's auto-correct results for a misspelling, despite not actually fixing the spelling of the term, Google set up a honeypot, configuring the Google search engine to return specific unrelated results for 100 nonsensical queries such as hiybbprqag. Over the next couple of weeks, Google engineers entered the search term into Google, while using Microsoft Internet Explorer, with the Bing Toolbar installed and the optional Suggested Sites enabled. In 9 out of the 100 queries, Bing later started returning the same results as Google, despite the only apparent connection between the result and search term being that Google's results connected the two.

Microsoft's response to this issue, coming from a company spokesperson, was: "We do not copy Google's results." Bing's Vice President, Harry Shum, later reiterated that the search result data Google claimed that Bing copied had in fact come from Bing's very own users. Shum wrote that "we use over 1,000 different signals and features in our ranking algorithm. A small piece of that is clickstream data we get from some of our customers, who opt into sharing anonymous data as they navigate the web in order to help us improve the experience for all users."  Microsoft stated that Bing was not intended to be a duplicate of any existing search engines.

Child pornography

A study released in 2019 of Bing Image search showed that it both freely offered up images that had been tagged as illegal child pornography in national databases, as well as automatically suggesting via its auto-completion feature queries related to child pornography. This easy accessibility was considered particularly surprising since Microsoft pioneered PhotoDNA, the main technology used for tracking images reported as originating from child pornography. Additionally, some arrested child pornographers reported using Bing as their main search engine for new content. Microsoft vowed to fix the problem and assign additional staff to combat the issue after the report was released.

Search algorithm

From Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Search_algorithm

Visual representation of a hash table, a data structure that allows for fast retrieval of information.
 
In computer science, a search algorithm is any algorithm which solves the search problem, namely, to retrieve information stored within some data structure, or calculated in the search space of a problem domain, either with discrete or continuous values. Specific applications of search algorithms include:
The classic search problems described above and web search are both problems in information retrieval, but are generally studied as separate subfields and are solved and evaluated differently. are generally focused on filtering and that find documents most relevant to human queries. Classic search algorithms are typically evaluated on how fast they can find a solution, and whether that solution is guaranteed to be optimal. Though information retrieval algorithms must be fast, the quality of ranking is more important, as is whether good results have been left out and bad results included. 

The appropriate search algorithm often depends on the data structure being searched, and may also include prior knowledge about the data. Some database structures are specially constructed to make search algorithms faster or more efficient, such as a search tree, hash map, or a database index.

Search algorithms can be classified based on their mechanism of searching. Linear search algorithms check every record for the one associated with a target key in a linear fashion. Binary, or half interval searches, repeatedly target the center of the search structure and divide the search space in half. Comparison search algorithms improve on linear searching by successively eliminating records based on comparisons of the keys until the target record is found, and can be applied on data structures with a defined order. Digital search algorithms work based on the properties of digits in data structures that use numerical keys. Finally, hashing directly maps keys to records based on a hash function. Searches outside a linear search require that the data be sorted in some way. 

Algorithms are often evaluated by their computational complexity, or maximum theoretical run time. Binary search functions, for example, have a maximum complexity of O(log n), or logarithmic time. This means that the maximum number of operations needed to find the search target is a logarithmic function of the size of the search space. 

Classes


For virtual search spaces

Algorithms for searching virtual spaces are used in the constraint satisfaction problem, where the goal is to find a set of value assignments to certain variables that will satisfy specific mathematical equations and inequations / equalities. They are also used when the goal is to find a variable assignment that will maximize or minimize a certain function of those variables. Algorithms for these problems include the basic brute-force search (also called "naïve" or "uninformed" search), and a variety of heuristics that try to exploit partial knowledge about the structure of this space, such as linear relaxation, constraint generation, and constraint propagation

An important subclass are the local search methods, that view the elements of the search space as the vertices of a graph, with edges defined by a set of heuristics applicable to the case; and scan the space by moving from item to item along the edges, for example according to the steepest descent or best-first criterion, or in a stochastic search. This category includes a great variety of general metaheuristic methods, such as simulated annealing, tabu search, A-teams, and genetic programming, that combine arbitrary heuristics in specific ways. 

This class also includes various tree search algorithms, that view the elements as vertices of a tree, and traverse that tree in some special order. Examples of the latter include the exhaustive methods such as depth-first search and breadth-first search, as well as various heuristic-based search tree pruning methods such as backtracking and branch and bound. Unlike general metaheuristics, which at best work only in a probabilistic sense, many of these tree-search methods are guaranteed to find the exact or optimal solution, if given enough time. This is called "completeness".

Another important sub-class consists of algorithms for exploring the game tree of multiple-player games, such as chess or backgammon, whose nodes consist of all possible game situations that could result from the current situation. The goal in these problems is to find the move that provides the best chance of a win, taking into account all possible moves of the opponent(s). Similar problems occur when humans or machines have to make successive decisions whose outcomes are not entirely under one's control, such as in robot guidance or in marketing, financial, or military strategy planning. This kind of problem — combinatorial search — has been extensively studied in the context of artificial intelligence. Examples of algorithms for this class are the minimax algorithm, alpha–beta pruning, * Informational search  and the A* algorithm.

For sub-structures of a given structure

The name "combinatorial search" is generally used for algorithms that look for a specific sub-structure of a given discrete structure, such as a graph, a string, a finite group, and so on. The term combinatorial optimization is typically used when the goal is to find a sub-structure with a maximum (or minimum) value of some parameter. (Since the sub-structure is usually represented in the computer by a set of integer variables with constraints, these problems can be viewed as special cases of constraint satisfaction or discrete optimization; but they are usually formulated and solved in a more abstract setting where the internal representation is not explicitly mentioned.)

An important and extensively studied subclass are the graph algorithms, in particular graph traversal algorithms, for finding specific sub-structures in a given graph — such as subgraphs, paths, circuits, and so on. Examples include Dijkstra's algorithm, Kruskal's algorithm, the nearest neighbour algorithm, and Prim's algorithm.

Another important subclass of this category are the string searching algorithms, that search for patterns within strings. Two famous examples are the Boyer–Moore and Knuth–Morris–Pratt algorithms, and several algorithms based on the suffix tree data structure.

Search for the maximum of a function

In 1953, American statistician Jack Kiefer devised Fibonacci search which can be used to find the maximum of a unimodal function and has many other applications in computer science.

For quantum computers

There are also search methods designed for quantum computers, like Grover's algorithm, that are theoretically faster than linear or brute-force search even without the help of data structures or heuristics.

Worst-case scenario

From Wikipedia, the free encyclopedia

A worst-case scenario is a concept in risk management wherein the planner, in planning for potential disasters, considers the most severe possible outcome that can reasonably be projected to occur in a given situation. Conceiving of worst-case scenarios is a common form of strategic planning, specifically scenario planning, to prepare for and minimize contingencies that could result in accidents, quality problems, or other issues.

Development and use

The worst-case scenario is "[o]ne of the most commonly used alternative scenarios". A risk manager may request "a conservative risk estimate representing a worst-case scenario" in order to determine the latitude they may exercise in planning steps to reduce risks. Generally, a worst-case scenario "is settled upon by agreeing that a given worst case is bad enough. However, it is important to recognize that no worst-case scenario is truly without potential nasty surprises". In other words, ‘[a] “worst-case scenario” is never the worst case’, both because situations may arise that no planner could reasonably foresee, and because a given worst-case scenario is likely to consider only contingencies expected to arise in connection with a particular disaster. The worst-case scenario devised by a seismologist might be a particularly bad earthquake, and the worst-case scenario devised by a meteorologist might be a particularly bad hurricane, but it is unlikely that either of them will devise a scenario where a particularly bad storm occurs at the same time as a particularly bad earthquake. 

The definition of a worst-case scenario varies by the field to which it is being applied. For example, in environmental engineering", "[a] worst-case scenario is defined as the release of the largest quantity of a regulated substance from a single vessel or process line failure that results in the greatest distance to an endpoint". In this field, "[a]s in other fields, the worst-case scenario is a useful device when low probability events may result in a catastrophe that must be avoided even at great cost, but in most health risk assessments, a worst-case scenario is essentially a type of bounding estimate". In computer science, the best, worst, and average case of a given algorithm express what the resource usage is at least, at most and on average, respectively. For many individuals, a worst case scenario is one that would result in their own death.

Criticisms

A number of criticisms have been leveled against the use of worst-case scenarios. In some cases, a conceivable worst-case scenario within a field may be so far beyond the capacity of participants to deal with that it is not worth the effort to develop or explore such a scenario; where this is possible, it is "important to evaluate whether the development of a worst-case scenario is reasonable and desirable". Entities that rely on such scenarios in planning may be led to plan too conservatively to take advantage of the usual absence of such scenarios, and may waste resources preparing for highly unlikely contingencies. At the extreme, it has been argued that the use of worst-case scenarios in disaster preparedness and training causes people to become conditioned to set aside ethical concerns and to over-react to lesser disasters.

Inequality (mathematics)

From Wikipedia, the free encyclopedia https://en.wikipedia.org/wiki/Inequality...