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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Search Quality Insights - Page 3
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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The ranking techniques used in Bing Ads can help fashion retailers display beautiful product ads in a cost-effective way which may also be more relevant for shoppers. By working with a prominent fashion retail partner, these techniques provided a 5.9% increase in the partner's click through rates (number of times a product is clicked over the number of times it is shown)
These techniques can be extended beyond basic ad serving into other...
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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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This blog post describes how Bing does video summarization at internet scale using machine learning. Videos account for some of the richest and most delightful content on the web. But it can be difficult to tell which cat video is really going to make you LOL. That can be a frustrating and time-consuming process and it’s why we decided to help by building a smart preview feature to improve our search results and help our users more...
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If you're a developer you probably read through a lot of documentation, forums and discussions to find solutions to your coding questions, learn new programming languages or master new tools. It always takes a great deal of time and energy to read through the many long threads discussing similar problems and potential solutions before finally finding that one answer. Many of us...
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At Bing, AI is the foundation of our services and experiences. If you have ever been involved in any machine learning or AI project you know that frequently the key to success is good training data (a set of labeled examples that helps train the algorithm). Getting enough high-quality training data is often the most challenging piece of building an AI-based service. Typically, data labeled by humans is of high quality (has relatively few mistakes)...
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At Bing we are continuously innovating to provide our users with ever better, more accurate, and more beautiful results. We routinely embrace modern advances in multiple domains such as natural language processing, computer vision and AI to provide the best experience at internet scale across billions of queries and images. Recently we talked about how semantic vectors helped improve Bing Web Search. Today we want to share how end-to-end...
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