Electrical engineers go head to head with Genius on music playlists

UC San Diego engineers use their song-annotating algorithms to study playlists

		VIDEO: Electrical engineers at UC San Diego have created a new kind of music search engine that actually listens to music. This approach could help bands like Juna and S03 (both... Click here for more information.

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.