there are a bunch of ways to analyze and recommend music.
- shazam, which uses acoustic fingerprinting to recognize songs based on 15-second excerpts
- transpose’s goombah and the indy project, which use collaborative filtering to recommend music
- music plasma, an interactive flash application which illustrates (perceived) relationships between artists.
- hit song science, which predicts where or not a song will be a hit.
recently, the Wall Street Journal featured the music genome project, which paid a bunch of musicians to listen to thousands of songs and evaluate them on a bunch of objective criteria.
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