You are making a good point - Youtube recommendations ARE garbage. But I wonder how harder recommending videos compared to music. My guess is that doing data an

You are making a good point - Youtube recommendations ARE garbage. But I wonder how harder recommending videos compared to music. My guess is that doing data analysis on music in simpler because you only have to analyse the music data itself (frequency, bpm, etc) + related artists, etc. I'm sure doing movies recommendation is easier than youtube videos. For example I watched "this is america" recently. I liked the video, but mostly because of the video, not the music. How does youtube understands that I want more of this type of imagery and not sound? Very hard. That might also explain why we services like Spotify doing a good job at discovery, but I can't think of a service doing the same for videos. But I agree with you, lots of example of google not doing a good job with ML. At the same time, it seems like they are doing a good job with ML on other (maybe simpler) things, such as gmail/inbox, search, etc.