At Build 2017, we announced the release of our latest addition to the Microsoft Cognitive Services portfolio – Bing Custom Search. Coming at a time when there is a demand for tailored search experiences, Bing Custom Search is an exciting new development.
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We are excited to release a preview for the new version of our APIs as part of Microsoft Cognitive Services – Bing Search APIs v7 Preview. The team has been working to deliver a whole host of improvements.
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Interbot is now enriched with intelligence from Bing that enables developers to build smart conversational interfaces. Multiple services using Bing Knowledge and Search APIs are setup as pre-built utility bots, unleashing new possibilities on Interbot.
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Searching for businesses along a route, like gas stations and coffee shops, is one of the many useful features provided by Bing Maps. See how Bing quickly compares thousands of business points along a route using the deviation in trip time, with help from pre-processing huge amounts of geospatial data.
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Microsoft Cognitive Services QnA Maker and the Bing Location Control are new intelligence services for use with the Microsoft Bot Framework. Built by the same engineers that work on Bing relevance, ranking, and geo-spatial maps services, these are another example of how we are adding Bing AI to tools for developers.
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As announced earlier this week on the Bot Framework Blog, the Microsoft Cognitive Services QnA Maker, is a free, easy-to-use, REST API- and web-based service that trains AI to respond to users’ questions in a conversational way. QnA Maker works in three steps: extraction, training, and publishing. To start, feed it anything from existing FAQ URLs to documents and editorial content.
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Bing Search APIs (including Web Search, Image Search, Video Search, News Search as one collection) give developers the ability to bring the knowledge and intelligence of web search right into their experiences, and intelligence is always at the forefront of our conversations with partners.
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We are entering an exciting new era of more personal, natural computing, enabled by Artificial Intelligence (AI). In this first post on how Bing technology is being used by developers across the industry, we touch upon our work to enable more natural and conversational experiences that are designed around people.
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Have you ever tried to remember the title of paper you read in an academic journal? You know the author’s name, but not how to spell it? Or, you’re sure that a certain actor starred in a movie directed by a particular director, but can’t remember the title? Wouldn’t it be great if your favorite search engine could help with that? Now it can.  
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Over the past few months Bing shopping and recipes experiences have benefited from multiple enhancements impacting visual richness and overall quality. In the last multimedia post (The Image Graph - Powering the Next Generation of Bing Image Search) we talked about how we construct the Image Graph offline powering the backend of our experiences.So let’s talk more about the online and front-end part of this equation—features we created...
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