Bing Blogs - 32

  • Black Friday on Bing: intelligent shopping, product insights, and more

    We know that often, shopping can be a journey. You might start with a need in mind, or a few products you want to learn about. To end up with a great purchase, you need the right tools to guide you along the way. To make your holiday shopping easier, we’ve embedded Bing artificial intelligence algorithms into parts of our shopping experience to deliver results that are both relevant and organized, to help you make the most efficient...
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  • bingbot Series: JavaScript, Dynamic Rendering, and Cloaking. Oh My!

    As we shared last week at SMX East, bingbot is generally able to render JavaScript. It can be difficult for bingbot to process JavaScript at scale on every page of every website, while minimizing the number of HTTP requests at the same time. Bing recommend dynamic rendering as a great alternative for websites relying heavily on JavaScript.
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  • Bing Maps goes Digital Hollywood University with MVP Daisuke Yamazaki

    Microsoft MVP, Daisuke Yamazaki specializes in Bing Maps and evangelizes mapping inside and outside of the classroom. As Associate Professor teaching web technologies at Digital Hollywood Graduate School, Yamazaki has built a website for students that publicly offers anyone the resources and tools to easily get started with Bing Maps – BingMaps Go!
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  • bingbot Series: Optimizing Crawl Frequency

    In part 2 of our bingbot series Principal Software Engineering Managing of the crawl team Cheng Lu shares one example of how we’ve optimized our processes to maximize crawl efficiency for large web sites whose content remains static, or unchanging.
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  • bingbot Series: Maximizing Crawl Efficiency

    What does the bingbot do and why does Bing need it? This is the first article in the series related to bingbot dand how we are focused on improving the bingbot crawler over the next 18 months. Discover what the bingbot is and what some of the challenges are with trying to manage expectations of webmasters and content systems at scale when they all have different views on the frequency of which their sites are crawled.
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  • Intelligent GIF Search: Finding the right GIF to express your emotions

    This post describes the various machine learning techniques used in GIF search by Bing. To provide the best GIF search experience Bing employs techniques such as sentiment analysis, OCR, and even pose modeling of subjects appearing in GIF flicks to reflect subtle intent variations of your queries. Read on to find out more about how we made it work.
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