[mynameisvlad]

Said upthread, a much better metric would be use of the song outside of the generated playlist. Added to other playlists, added to library, listened to again hours or days later of your own accord, etc. Basically, in some way tied to a user action rather than the absence of one.

I’m fairly open to music, I’ll likely listen to a song once if it’s on a playlist. But that doesn’t mean I liked the song, only that I gave it a shot. It certainly means I liked it more than the song I just skipped, sure, but it also doesn’t mean I necessarily want to hear it again.

[d0gbread]

On these AI generated playlists I'll actually skip songs even if I like them because I'm just cruising through the list, then might go and save a full album from the band to check out later, in full. So the selected behavior is really not representative in my case.

[p1esk]

I'll actually skip songs even if I like them

So you don’t add them to your library?

[neura]

Not when it's recommending something it _should_ already know I like (and probably why it added it to the list). Also, sometimes, I may like something, but not add it to my personal list. Since there's no way to rate a song, I use likes only for songs I really like.

I think the real point to be made here is that this is part of the inner workings of the system, that most users of the system are unaware of. Hell, this article and the ensuing discussions do not leave it completely clear how much of the system works. Like, I despise that when I create a new playlist with a name, it recommends a bunch of tracks based on the name of the playlist. Sometimes that'll be tracks with words in the name of the playlist in their name or some other odd metric, like it'll add songs from an artist that has a song that happens to be the name of the playlist. If you don't puzzle this out for yourself, you're possibly creating a very UN-optimized playlist for yourself.