Google now uses the BERT model, along with other machine learning methods, to group related news articles in carousels.
The new BERT-generated carousels will appear in the most popular Google search stories section. They are designed to help people easily find the best articles related to specific news.
Google Search Product Manager Duncan Osbourne explains:
“When you are looking for information on a relevant topic - a recent sporting event or the latest scientific breakthrough - you see a carousel of articles at the top of the search results with highlighting relevant news. Now that there are several stories related to your search, we’ll also sort the results by history so that it’s easier to understand what is most relevant and you can make a more informed decision about which specific articles you need. ”
In addition, the new Google News breaking merry-go-round will reveal more content.
For example, a search on "nasa news" may show results grouped by individual news reports, such as "NASA Adds Five Companies to the Moon's Application" and "NASA Detects Water Vapor on the Jupiter-Europe Satellite", as well as additional results in the "Also in the news ”and in each topic several news.
Google further explains how machine learning is used to obtain these results:
“To reinforce this new experience, we developed a new technology for understanding the plot, to display people, places and things related to the news story, and then to establish connections between them. This technology allows us to create separate groups of news articles. To create these groups, we use a variety of machine learning methods, including BERT models, to study the relevant articles and determine where one story ends and another begins. ”
According to a Google study, clustering results in well-defined stories is useful because it helps people navigate news search results and find the most relevant content.
Finally, the main story carousels will now contain supporting information, such as notable quotes and related choices. Google notes that these changes are part of a long-term effort to expand the types of news coverage it shows users in search results.
These updates are available from today on mobile devices in US English search results and will be available in other languages in the coming months.
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