Comment by wldcordeiro

I don't think the recommendation engines behind Spotify, Youtube Music, etc compare to the recommendations I got from last.fm over the years. The algorithmic ones seem to have a bunch of issues that bug me as a long time music listener and someone with a large music library.

- their memory is short as hell so you can listen to something for a while, stop and then it'll suggest it to you later as something to "discover"

- they are way too biased towards recently listened music and will replay things over and over if you're not actively managing your queues.

- because they're so based on what you have listened to (recently) they suggest things that are extremely obvious music no one is "discovering"

- they suggest the "top" songs from artists, albums, etc, it's very hard to get it to play a "deep cut"

- if you have a large library you'll inevitably hit playlist song limits and other things silently. Each service handles this differently, Youtube Music seemingly kicks things out of my library or liked playlists each time I add something else.

I've literally just gotten in the habit of never using the autoplay features and just starting whole albums from start to finish again because the algorithms annoy me so much. Youtube Music has been getting worse about it too where now it often ignores the music you chose to start a playlist and starts playing things you've listened to recently regardless of it doesn't match the genre/vibe at all.