We are proud to introduce WebQA, a dataset for multi-hop, multi-modal open-domain question answering challenge, to be hosted at NeurIPS 2021 Competition Track. Designed to simulate the heterogeneous information landscape one might expect when performing web search, WebQA contains 46K knowledge-seeking queries whose answers are to be found in either images or text snippets, where a system must determine relevant sources first before reasoning to...
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Rank Multimodal (RankMM) The RankMM model effectively combines the search paradigms of a text query, page context, and images to aid image and video retrieval. RankMM models are Visual Language (VL) models which take page context into account to improve image and video retrieval performance in a web-scale search engine.
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Enhancing image quality is a critical but challenging computer vision task. We've released a new AI-based model for improving the quality of images on Microsoft Bing. Not only are the Bing image search results relevant, but they are also beautiful and high-resolution. Our new V3 model outperformed the V2 model by 36% in terms of click-through rate, demonstrating that users find visually appealing images in search results more interesting and...
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To reach out to wider audiences, Bing Search APIs will be transitioning from Azure Cognitive Services Platform to Azure Marketplace. Beginning October 31st, 2020, provisioning of any new instances of Bing Search APIs will need to be done via Azure Marketplace. All existing instances of Bing Search APIs, provisioned under Azure Cognitive Services, will be supported up to the next three years or till the end of the customer’s enterprise...
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Intelligent question-answering is one of the most useful and delightful features of search. As a user, you ask a question (e.g., “what are the benefits of eating apricots”) and can get the answer directly (e.g., info about health and nutrition benefits of apricots) at the top of the page without further need to search for relevant content by yourself. Recently, Bing expanded its intelligent question-answering feature to more than 100...
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Bing users around the globe perform hundreds of millions of search queries every day. These queries are diverse in many ways, from the intent the users are seeking to fulfill, to the languages and regions where these queries are issued. To handle such a dynamic range of usage, AI models in Bing must continuously evolve and therefore Bing is the prime example of Microsoft AI at Scale. This blog post introduces recent updates to Bing that are making...
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Want to learn more about what’s new with Bing? Now you can get official news and updates from our recently launched @MSBing_Dev Twitter handle. This account is our way to share more of the technology we build and talk all things Bing, directly from our engineers to the people who use it.
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The search box is the most important piece of UX on our page. It won’t be an overstatement to say that the search box is the most important piece of UX on any search engine. No change to the UX is too trivial, no change passes through un-verified. During one such exercise we noticed that some of our customers were having a sub-optimal experience with our search box. Some of their clicks were being ignored by the search box.  As we...
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Today we share more about continued evolution of Bing Image Search towards a more intelligent search engine through multi-granularity matches, improved understanding of user queries, images and webpages, as well as the relationships between them.
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Tablets are an important part of the Bing success story, with many users looking for the latest news, checking out sport scores and searching for entertainment. To better optimize for such user intent across devices of varying screens sizes and aspect ratios while providing fluid and aesthetically pleasing experience we at Microsoft completely redesigned the Bing homepage on Amazon Fire tablets using React + Redux.
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