Future of TV Briefing: YouTube gives a peek at how its recommendation algorithms work
Briefly

During a recent VidCon session, YouTube executives revealed insights into the platform's recommendation engine, clarifying misconceptions about its algorithms. Todd Beaupré highlighted that YouTube operates with multiple algorithms, each tailored to fulfill viewers' needs rather than simply promoting creators' videos. This reinforces that the platform's primary focus is on providing relevant content for the audience, suggesting that creators should consider their target viewers when developing content. Jenny Hoyos emphasized this viewer-centric approach by mentioning the importance of identifying a specific target audience for videos.
There's actually kind of dozens of different algorithms that are working together to try to find videos in different ways and then bring them all together into one ranked list for [an individual viewer].
We're not posting a video, and then YouTube is trying to find viewers for our video. No, it starts when a viewer goes on YouTube, and now they're trying to find the videos for that viewer.
Read at Digiday
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