Spotify uses a range of large scale machine learning methods to find interesting music recommendations. Using large amounts of implicit data, collaborative filtering is behind features such as radio, related artists, and a number of soon to be released features. These are powered by matrix factorization and other methods that have been scaled up to 100s of billions of data points.