YouTube is also testing a new way to recommend videos to users

YouTube is currently testing a new recommendation algorithm that takes into account the user’s watch history, as well as the videos that their friends and family are watching. This is in addition to the other factors that the YouTube algorithm already considers, such as the video’s title, description, tags, and thumbnail.

The goal of this new algorithm is to provide users with even more relevant recommendations. For example, if a user’s friend is watching a lot of cooking videos, the user might also be interested in watching cooking videos. Or, if a user’s family is watching a lot of videos about a certain topic, the user might also be interested in watching videos about that topic.

YouTube is still in the early stages of testing this new algorithm, so it’s not yet clear how effective it will be. However, it has the potential to significantly improve the quality of YouTube’s recommendations.

Here are some of the benefits of this new algorithm:

  • It can help users discover new videos that they might not have found otherwise.
  • It can help users stay up-to-date on the latest trends.
  • It can help users connect with their friends and family around shared interests.

Overall, this new algorithm has the potential to make YouTube a more personalized and engaging experience for users.

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