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> Using a recommendation algorithm similar to TikTok’s

How is TTs recommendation system different from YT? Other than suggesting lower quality content that's irresistable?



In my experience, YouTube’s is much more influenced by the latest videos a user has watched. It’s pretty much always "more of the same".

TikTok seems to manage to more quickly identify users’ interests and surface content based on more signals, aggregated over a longer period of time, without relying as much on conscious users’ actions (ie "follow / subscribe"), producing a wider diversity of recommendations.

There’s also the odd suggestion every now and then, probably used to gauge a user’s interest in a different category.




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