Microsoft Bing | EPFL Graph Search

Microsoft Bing (commonly known as 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. Yahoo! finished the transition in 2012. In October 2011, Microsoft stated that they were working on a 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. The BitFunnel search engine indexing algorithm and various components of the search engine were made open source by Microsoft in 2016. In February 2023, Microsoft introduced Bing Chat, an artificial intelligence chatbot experience based on GPT-4, integrated into the search engine. Bing reached 100 million active users the following month. , (Microsoft) Bing is the second largest search engine globally, with a query volume of 12%, behind Google's 79%; Baidu is at 5% and Yahoo! Search, which Bing largely powers, has 2%. Microsoft launched MSN Search in the third quarter of 1998, using search results from Inktomi.

Feature distribution learning by passive exposure

David Pascucci, Gizay Ceylan

Humans can rapidly estimate the statistical properties of groups of stimuli, including their average and variability. But recent studies of so-called Feature Distribution Learning (FDL) have shown that observers can quickly learn even more complex aspects ...

ELSEVIER2022

QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval

Shaokai Ye, Yuan He, Hang Su, Jinfeng Li

We study the query-based attack against image retrieval to evaluate its robustness against adversarial examples under the black-box setting, where the adversary only has query access to the top-1 ranked unlabeled images from the database. Compared with que ...

IEEE COMPUTER SOC2021

Conveying the Perception of Humor Arising from Ambiguous Grammatical Constructs in Human-Chatbot Interaction

Denis Gillet, Juan Carlos Farah, Sandy Ingram, Vandit Sharma

Chatbots have long been advocated for computer-assisted language learning systems to support learners with conversational practice. A particular challenge in such systems is explaining mistakes stemming from ambiguous grammatical constructs. Misplaced modi ...

2021