I was exploring this area recently, in a more specific way: I'd like to try to implement a DJ bot. But I am not sure machine learning is the best way: I would n

I was exploring this area recently, in a more specific way: I'd like to try to implement a DJ bot. But I am not sure machine learning is the best way: I would need to have a very big set of mix playlists by professional DJ to train a machine against. But then, if it worked, it would simply ape DJs. What I want to do is different: a "bot-flavored" playlist generator. A DJ that pushes tracks one after the other in an interesting way, but not in a human way. For instance, my bot-jockey could rightly decide to play a classical music track just after some deep house, because some features are matching. And this could be actually a good choice that a human DJ would not have done. By the way, in the article, they avoid using external data, but for my project, I am trying to use AcousticBrainz data, and also explored Echonest's. Not sure where it will bring me though.