A year and a half ago, I wrote an article suggesting that search was far from a solved problem, and that in fact it was poised for a revolution. I suggested that by applying deep learning models and making search more modern and intuitive, we could significantly improve the experience for our users. I’m thrilled to see that we are making a large step forward towards this vision with the recent announcement of the new Bing. We’ve...
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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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In December, we launched several new Intelligent Answers that go beyond the traditional Q&A style of search and offer answers to more complicated questions. We received so much interest in providing multiple perspectives to an answer, that we wanted to share more details on how it came about and what we are doing to make it possible.
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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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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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