Which innovative recommendation technique did Netflix abandon after their $1 million Netflix Prize competition, despite its technical superiority?

The film and television industry has been revolutionized by streaming platforms and their sophisticated recommendation algorithms. These systems analyze viewing patterns and preferences to suggest content that keeps viewers engaged. But how well do you understand the technology powering these personalized recommendations? Test your knowledge about the data analytics behind your favorite streaming services and how they influence what appears on your screen.

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Collaborative filtering algorithm that improved recommendation accuracy by 10%
Content-based filtering using director and actor metadata
Hybrid recommendation system combining viewing history and demographic data
Deep learning neural networks for predicting viewer engagement