Just within electronic music, look at how many genres and sub-genres have been categorized by someone simply as a hobby project. Now updated for the web 2.0 era.
Yeah the actual humans with ears are me and you. They use play-time as the basis for recommendation as well as content-similarity, and put effort into de-biasing this data for, e.g., position bias. This is the same for YouTube etc.
Spotify is one of the best examples of a modern large-scale recommender system, for me.
Do you have a memory problem? My weekly have always been 30-70% the same recordings of songs I have already listened to at least ten times. And it's always been this way.
Why would you assume I use discover weekly to discover music?
I just use the Radio feature, which plays endless amount of songs based on the song you started with.
The radio feature is global to all playback situations so I assumed that couldn't be it.
I have been an Apple Music user, but I am subscribing to Spotify just for its recommendations.