Rethinking Recommendation Engines
Over two years ago, Netflix announced a Recommendation Engine contest – anyone who invents an algorithm that does 10% better than their current recommendation system will win $1 Million dollars. Many research teams raced to attack the problem, excited by the unprecedented amount of data available. Initially quite a lot of progress was made, [...]
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