Rank Multimodal (RankMM) The RankMM model effectively combines the search paradigms of a text query, page context, and images to aid image and video retrieval. RankMM models are Visual Language (VL) models which take page context into account to improve image and video retrieval performance in a web-scale search engine.
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Enhancing image quality is a critical but challenging computer vision task. We've released a new AI-based model for improving the quality of images on Microsoft Bing. Not only are the Bing image search results relevant, but they are also beautiful and high-resolution. Our new V3 model outperformed the V2 model by 36% in terms of click-through rate, demonstrating that users find visually appealing images in search results more interesting and...
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Interbot is now enriched with intelligence from Bing that enables developers to build smart conversational interfaces. Multiple services using Bing Knowledge and Search APIs are setup as pre-built utility bots, unleashing new possibilities on Interbot.
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Over the past few months Bing shopping and recipes experiences have benefited from multiple enhancements impacting visual richness and overall quality. In the last multimedia post (The Image Graph - Powering the Next Generation of Bing Image Search) we talked about how we construct the Image Graph offline powering the backend of our experiences.So let’s talk more about the online and front-end part of this equation—features we created...
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