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Software maps evolution of musical taste to predict hits

Predicting the popularity of a pop song could be achieved by using state-of-the-art machine learning algorithms, say University of Bristol (UK) computer scientists who have created software to interpret the various musical factors that make a song a hit. The research team, led by Dr Tijl de Bie, have created thehttp://scoreahit.com/ website which details their […]

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