New Scientist: Entrants were provided with data sets of anonymised data on 480,000 Netflix users, revealing the films they had rented, and when. For half of those people, the data included the ratings they had given to previously rented films. Teams had to use that information to try and predict how the other half rented their movies.
…read original article here.
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