Via Google Blog

People come to Search for all types of information to help them form a better understanding of the world and the topics they care about most. We’ve continued to bring new improvements to Search to help people better orient themselves around a topic and easily explore related ideas, so they can more quickly go from having a question in mind to developing deeper understanding. Now, we’re using the latest in machine learning to bring this approach to top stories in Google Search, making it easier for people to dive into the most useful, timely articles available.

When you’re searching for information on a timely topic–a recent sports upset or the latest scientific breakthrough–you see a carousel of articles at the top of your Search results highlighting relevant news. Now, when there are multiple stories related to your search, we’ll also organize the results by story so it’s easier to understand what’s most relevant and you can make a more informed decision on which specific articles to explore. Within each story, the new structure will make more room for high-quality content–beyond just the most recent coverage–as well as more diverse sources, to bring more context and perspective to the day’s news.

For example, if you search for “NASA news,” you might see results grouped under the distinct news stories “NASA adds five companies to moon bid” and “NASA detects water vapor on Jupiter’s moon Europa,” along with additional results under “Also in the news.”


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