Which algorithmic approach revolutionized Netflix's recommendation system after they awarded a $1 million prize in their famous 2009 competition?

In today's competitive streaming landscape, personalization algorithms are crucial for viewer retention and engagement. These sophisticated systems analyze viewing habits to recommend content that keeps audiences watching. How well do you understand the technology that powers recommendation engines in major streaming platforms? Test your knowledge about the algorithms that influence what millions of viewers watch every day and shape content creation decisions in Hollywood.

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Matrix factorization with temporal dynamics
Simple collaborative filtering
Content-based filtering using director/actor metadata
Deep neural networks with reinforcement learning