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whitepaper
THE NETflIX PRIZE AND PRODUCTION MACHINE LEARNING SYSTEMS:  AN INSIDER LOOK
The goal of the Netflix Prize was to crowd source a movie recommendation algorithm that delivers 10%+ improvement in prediction accuracy over the existing system. If you use Netflix, you see movies listed under “movies you may like” or “more movies like this”, etc. This algorithm powers personalized user experience on Netflix.Here is a quick example of how the competition worked. Collaborative filtering (CF) is one of the fundamental algorithms for recommender systems, and it is based on an idea that you can use the ratings from users who share similar tastes to predict five-star ratings for unrated items.   DOWNLOAD