Engineers use song-annotating algorithms to study music playlists (w/ Video)

Electrical engineers recently pitted Genius - the music recommendation system in Apple's iTunes - against two experimental music recommender systems. Genius appears to capture acoustic similarities among songs within the same playlist, the researchers found. The University of California, San Diego electrical engineers also discovered that the music recommender they built from scratch can generate song playlists that human subjects thought were as good as those that Genius generates. The UC San Diego system works for songs that Genius knows nothing about.

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