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Search Quality Insights Blog — Nov 2013

  • November
    22

    Deep Learning for Image Understanding in...

    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, useful and beautiful image results in Bing. - Dr. Harry Shum, Corporate Vice President, Bing R&D Our colleague Meenaz Merchant gave an overview of Bing image search a few months ago. Today we will talk about the technology behind our approach. Rooted in the fundamental techniques of web search, traditional image search has relied heavily on text information such as surrounding text, title and URLs to deliver relevant results. However, in the age of social media and self-expression this approach has become less effective. A large percentage of images are shared with little or no text information (as shown in the example below). This presents new challenges propelling us to examine the properties of the image itself to provide more relevant... Read More 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, useful and beautiful image results in Bing. - Dr. Harry Shum, Corporate Vice President, Bing R&D Our colleague Meenaz Merchant gave an overview of Bing image search a few months ago. Today we will talk about the technology behind our approach. Rooted in the fundamental techniques of web search, traditional image search has relied heavily on text information such as surrounding text, title and URLs to deliver relevant results. However, in the age of social media and self-expression this approach has become less effective. A large percentage of images are shared with little or no text information (as shown in the example below). This presents new challenges propelling us to examine the properties of the image itself to provide more relevant... Read More