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Published on Jul 17, 2015
Carlos Gomez-Uribe took the stage at OpenAir to describe the innovation process they use at Netflix to improve our product, particularly the recommendation and search algorithms that help our members find movies and TV shows to watch. Netflix's recommendation and search algorithms are key to retaining our members, so improving them has been a top priority for over a decade. Their innovation process, at its core, is an application of the scientific method, relying heavily on experimentation, very large data sets, carefully chosen metrics, and advanced statistical and mathematical models. Carlos discusses the challenges and limitations of our innovation process, and the remarkable evolution in our recommendation and search algorithms it has enabled.
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