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How Netflix Built the World's Most Sophisticated Recommendation Engine

Xavier AmatriainMIT Sloan Management Review18 min readJanuary 1, 2023
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Summary

Netflix attributes over 80% of content watched to its recommendation system. This case study traces the evolution from the Netflix Prize competition to modern deep learning approaches, examining how product and engineering teams collaborate to personalize content for 230 million subscribers across diverse global markets.

Read Full Article on MIT Sloan Management Review

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