The first method involves comparing the two datasets to figure out which new songs are related to the ones you like. For instance, suppose someone made a playlist with eight songs on it, and seven of those are in your library. You probably like this type of song, so Discover Weekly might recommend the one song that isn’t in your library.[32] This technique is called “collaborative filtering,”
