Comment by permo-w

12 days ago

The secret is how it chooses videos to recommend, not the tech stack it uses and how fast it is

I would assume it's time spent on video and they start to build a profile of which users like what kind of content. X liked video 934934 so Y probably also likes that kind of video. Group people in buckets.

  • I'm sure this is part of it, but I suspect it goes deeper than that. I'd guess they probably have some kind automated categorisation algorithm that can extract features from the videos