*Is that even "pop music"? It seems that a system this sophisticated ought to be generating the music rather than recommending tracks from human musicians.
https://hackernoon.com/spotifys-discover-weekly-how-machine-learning-finds-your-new-music-19a41ab76efe
This Monday — just like every Monday— over 100 million Spotify users found a fresh new playlist waiting for them. It’s a custom mixtape of 30 songs they’ve never listened to before but will probably love. It’s called Discover Weekly, and it’s pretty much magic.
I’m a huge fan of Spotify, and particularly Discover Weekly. Why? It makes me feel seen. It knows my musical tastes better than any person in my life ever has, and I am consistently delighted by how it satisfies me just right every week, with tracks I myself would never have found or known I would like.
(...)
Spotify actually doesn’t use a single revolutionary recommendation model — instead, they mix together some of the best strategies used by other services to create its own uniquely powerful Discovery engine.
To create Discover Weekly, there are three main types of recommendation models that Spotify employs:
Collaborative Filtering models (i.e. the ones that Last.fm originally used), which work by analyzing your behavior and others’ behavior.
Natural Language Processing (NLP) models, which work by analyzing text.
Audio models, which work by analyzing the raw audio tracks themselves....
