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Computerised critics could find the music you'll like

By Macgregor Campbell

9 June 2010

New Scientist. Science news and long reads from expert journalists, covering developments in science, technology, health and the environment on the website and the magazine.

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(Image: Michael Ochs Archives/Getty Images)

MOST of us know better than to accept advice from an ignoramus. Yet we are content to listen to music playlists or even to buy tracks based on a computer’s assessment of what we might enjoy, despite the software not knowing the first thing about music. The plan now is to make this less of a hit-and-miss affair by giving computers a course in musical appreciation.

Online music stores base their recommendations on similarities in buying or browsing patterns: when you buy a song, for example, the system might highlight…

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