Which pioneering recommendation system feature did Netflix offer $1 million to anyone who could improve by 10% in their famous 2006-2009 competition?

The film and television industry has been transformed by streaming platforms that use sophisticated recommendation algorithms to keep viewers engaged. These systems analyze viewing patterns, preferences, and behaviors to suggest content that keeps subscribers watching. But how much do you know about the machine learning powering these suggestions that influence what millions of people watch every day?

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Content category clustering algorithm
Netflix Prize for improving their Cinematch prediction system
Personalized thumbnail generation system
Viewing time optimization algorithm