Leveraging Search Algorithms for Bing Predicts

Leveraging Search Algorithms for Bing Predicts

In the past, we’ve provided an in-depth view of how Bing.com improves relevance for users in web and image search, along with ways we’ve improved experimentation. Leveraging technology similar to search, the team has embarked on the relatively new area we call “Bing Predicts.” This feature analyzes web activity, social sentiment, and other signals to predict the outcomes of events. My colleague, Walter Sun, the technical lead for the project...
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Assessing Image Quality

A few months ago we provided a behind the scenes look into how Bing is improving image search quality. In this post we wanted to explore some additional techniques we are employing to deliver high quality image results. My colleague Eason Wang will give you a closer look at how we are incorporating aesthetics to deliver more beautiful image results in Bing. – Dr. Jan Pedersen, Chief Scientist, Bing and Information Platform R&D As you can...
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Deep Learning for Image Understanding in Bing

A few months ago we provided a behind the scenes look into how Bing is improving image search quality. In this post we wanted to take the opportunity to further that discussion highlighting some recent outreach we did with researchers to explore new approaches to improving image search quality. My colleague Eason Wang will give you a closer look at how we are taking advantage of Deep Learning and entity understanding to deliver more relevant...
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Large Scale Experimentation at Bing

Experimenting at large scale is fundamental for improving Bing. Last June, we published a blog in this Search Quality Insights series titled Experimentation and Continuous Improvement at Bing, which covered a specific type of experiments known as interleaving. In this blog, Dr. Ronny Kohavi describes our broader online experimentation efforts at large scale and includes compelling examples that illustrate the power of these efforts, e.g., he shows...
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Ten Blue Links No More: Dynamic Page Sizing

Most search engines still provide a fixed number of web links on the search results page, typically 10 blue links in addition to instant answers. But are 10 blue links the right number of links for all queries and scenarios? Intuitively it doesn’t seem so. For example, showing fewer search results in navigational queries may enable users get to their desired URL faster. Also, users may benefit from seeing more blue links when they return to...
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