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The recommendation algorithm of music - same old same old. What I'd like is a hybrid between this type of machine learning combined with the ideas of genetic programming i.e. looking for the statistical characteristics correlated from an artist's music and then altering and combining that with other artists. That approach might lead to some truly inspiring and innovative mash-ups. One difficulty is finding a good fitness function for the genetic combinations to automate the whole process. I've never tried genetic programming it's just based on my basic understanding of it. Seems like the only real way to measure the output would be human supervision.