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Netflix Algorithm Prize . The rules for the competition were to build an algorithm that beats cinematch, netflix’s baseline algorithm by 10 percent. According to (netflix technology blog, 2017a), the engineers who solved the netflix task have reported that more than 2000 hours of work were required to build an ensemble of 107 algorithms that got them the prize. The Netflix Prize How a 1 Million Coding Contest Changed from www.thrillist.com That included rewriting the code and making it scalable, plus able to retrain incrementally as new ratings came in. Back then, netflix used cinematch, its proprietary recommender system which had a root mean squared error (rmse) of 0.9525 and challenged people to beat this benchmark by. The netflix experience is driven by a number of machine learning algorithms: