People make playlists for a variety of reasons, according to their specific tastes. Songs that appear together on a functional playlist (workout jams, study music, etc) likely won't have appeared together for the same (or even similar reasons). Contrast that even further against playlists built for aesthetic reasons ('sad songs', 'psychedelic-sounding', 'minimal', etc) and it seems hard to imagine how mining just playlists can lead to good music selections.
Is this algorithm attempting to track context or merely playlist contents?
And for the record, if there is one area that I really want machine learning and "AI" to fall flat on its face with, it's music. It's a shame technophiles want to strip the people out of art and its consumption.
People make playlists for a variety of reasons, according to their specific tastes. Songs that appear together on a functional playlist (workout jams, study music, etc) likely won't have appeared together for the same (or even similar reasons). Contrast that even further against playlists built for aesthetic reasons ('sad songs', 'psychedelic-sounding', 'minimal', etc) and it seems hard to imagine how mining just playlists can lead to good music selections.
Is this algorithm attempting to track context or merely playlist contents?
And for the record, if there is one area that I really want machine learning and "AI" to fall flat on its face with, it's music. It's a shame technophiles want to strip the people out of art and its consumption.