Google Begins Using BERT to Generate Top Stories Carousels in Search via @MattGSouthern

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Google Begins Using BERT to Generate Top Stories Carousels in Search

Google is now using BERT models, along with other machine learning techniques, to group related news articles together in carousels.

The new BERT-generated carousels will appear in the top stories section of Google Search. They're designed to help people easily find the best articles related to a particular news story.

Related: BERT Explained: What You Need to Know About Google's New Algorithm

Google's Duncan Osborn, product manager of Search, explains in an announcement:

"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."

In addition to surfacing the most recent coverage, Google's new top stories carousels will surface other content that will help provide more context and perspective to a given story.

For example, searches for "NASA news," might return results grouped under distinct news stories – such as "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."

Google further explains how machine learning is used to generate these results:

"To power this new experience, we developed a new story-understanding technology to map the people, places and things involved in a news story, and then draw connections between them. This technology allows us to create distinct groups of news articles. To generate these groups, we us



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