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This new experience combines the foundation of bing’s search results with the power of large and small language models (llms and slms) In july, we introduced an early view of generative search in bing, and today we’re taking the next step as we continue to evolve our vision of the future of search. When a user enters a search query, they may receive their answer in the new search results layout, followed by links they would usually expect to see

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Currently, the new design is on a limited release for a focused set of query categories. It’s relatively easy to find out, all you need to know is what to look for. The ranking is probably influenced by user's previous search history

I heard that bing's search engine is powered by ranknet algorithm, but i can't find a good tutorial on how this process works.

Use serpapi's bing related searches api to scrape bing suggested searches Both suggested search queries and links. How does one get related searches to be included in response from bing search api I am trying to apply responsefilter with value relatedsearches as per the documentation here

Search with microsoft bing and use the power of ai to find information, explore webpages, images, videos, maps, and more A smart search engine for the forever curious. At the heart of that vision is trust, and delivering a safe, secure, and relevant search experience is a critical part of that vision. Microsoft is testing zoomable and sticky related searches in the bing search results page.

I wonder how many people are using bing’s “related searches” feature to refine their original search query and find our clients’ websites