How to train YouTube's AI to recommend me better music (or videos in general)?

by Fabian   Last Updated June 29, 2018 10:03 AM

I have pretty much exhausted all my usual sources of music, so I thought I would train YouTube's recommendations to recommend me good music. From the videos it recommends me I know firsthand that it's pretty good at recommending, so I wanted to try the same with music. I also tried quite a number of other music recommendation sites, but they weren't that good, I believe YouTube can do it better if I train it right.

The best idea I had so far for this was to put music I like into a playlist, duplicate especially good music (duplicating entries is surprisingly difficult) and let it play on shuffle repeat with double speed on my Raspberry Pi 3. Sadly even with an audio-only Chrome extension, it still freezes very often, because the Raspberry Pi just doesn't have enough power, it's not made to stream videos.

So my next idea was to just open about 100 tabs at once on my pretty powerful laptop and let them all play audio-only double-speed shuffled repeated music. I haven't yet tried that, it should work (maybe not with such a high number), but it's a pretty ridiculous thing to do.

Isn't there an easier way to tell YouTube that I've watched a video? Maybe an API call that tells YouTube that I've watched a video, without actually having to load and play it? Or something opposite of the "not interested" button on recommendations? Or maybe something with Google Music (don't know very much about that or if it's even related to YouTube)? Or do I actually have to loop the music I like until I also like the recommendations?



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