Microsoft Bing | EPFL Graph Search

Are you an EPFL student looking for a semester project?

Work with us on data science and visualisation projects, and deploy your project as an app on top of GraphSearch.

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.

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related publications (4)

Related people (52)

Related units (11)

Related concepts (49)

Related courses (107)

Related lectures (861)

Related MOOCs (1)

Advanced Timber Plate Structural Design

A trans-disciplinary approach in structural design and digital architecture of timber structures with advanced manufacturing workflow.

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 query attacks in image classification, which produce adversaries according to the returned labels or confidence score, the challenge becomes even more prominent due to the difficulty in quantifying the attack effectiveness on the partial retrieved list. In this paper, we make the first attempt in Query-based Attack against Image Retrieval (QAIR), to completely subvert the top-1 retrieval results. Specifically, a new relevance-based loss is designed to quantify the attack effects by measuring the set similarity on the top-1 retrieval results before and after attacks and guide the gradient optimization. To further boost the attack efficiency, a recursive model stealing method is proposed to acquire transferable priors on the target model and generate the prior-guided gradients. Comprehensive experiments show that the proposed attack achieves a high attack success rate with few queries against the image retrieval systems under the black-box setting. The attack evaluations on the real-world visual search engine show that it successfully deceives a commercial system such as Bing Visual Search with 98% attack success rate by only 33 queries on average.

IEEE COMPUTER SOC2021

A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services

James Richard Larus

Datacenter workloads demand high computational capabilities, flexibility, power efficiency, and low cost. It is challenging to improve all of these factors simultaneously. To advance datacenter capabilities beyond what commodity server designs can provide, we designed and built a composable, reconfigurable hardware fabric based on field programmable gate arrays (FPGA). Each server in the fabric contains one FPGA, and all FPGAs within a 48-server rack are interconnected over a low-latency, high-bandwidth network. We describe a medium-scale deployment of this fabric on a bed of 1632 servers, and measure its effectiveness in accelerating the ranking component of the Bing web search engine. We describe the requirements and architecture of the system, detail the critical engineering challenges and solutions needed to make the system robust in the presence of failures, and measure the performance, power, and resilience of the system. Under high load, the large-scale reconfigurable fabric improves the ranking throughput of each server by 95% at a desirable latency distribution or reduces tail latency by 29% at a fixed throughput. In other words, the reconfigurable fabric enables the same throughput using only half the number of servers.

Assoc Computing Machinery2016

A Reconfigurable Fabric For Accelerating Large-Scale Datacenter Services

James Richard Larus

To advance datacenter capabilities beyond what commodity server designs can provide, the authors designed and built a composable, reconfigurable fabric to accelerate large-scale software services. They deployed the reconfigurable fabric in a bed of 1,632 servers and field-programmable gate arrays in a production datacenter and used it to increase the throughput of the ranking portion of the bing web search engine by nearly a factor of two.

Ieee Computer Soc2015

ME-437: Advanced solid mechanics

CH-244: Quantum chemistry

Introduction to Quantum Mechanics with examples related to chemistry

CH-343: Spectroscopy

Introduction into optical spectroscopy of molecules

Microsoft Edge

Microsoft Edge (or simply Edge) is a proprietary, cross-platform web browser created by Microsoft. It was first released in 2015 as part of Windows 10 and Xbox One and later ported to other platforms as a fork of Google's Chromium open-source project: Android and iOS, macOS, older Windows versions (Windows 7, Windows Server 2008 R2 and later were supported until early 2023), and most recently Linux. Edge was created as the successor to Internet Explorer (IE).

Microsoft Bing

Search engine

A search engine is a software system that finds web pages that match a web search. 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). The information may be a mix of hyperlinks to web pages, images, videos, infographics, articles, and other types of files. Some search engines also mine data available in databases or open directories.

Quantum and Nanocomputing MICRO-435: Quantum and nanocomputing

Covers quantum wire analysis, transmission function, and tunneling in dots.

Quantum Chemistry: Schrödinger Equation Solutions CH-244: Quantum chemistry

Explores the solutions to the Schrödinger Equation in Quantum Chemistry, emphasizing wavefunction properties and energy quantization.

Quantum and Nanocomputing MICRO-435: Quantum and nanocomputing

Explores conduction in quantum dot and discrete energy levels for nanocomputing.