Which recommendation strategy did Netflix famously award $1 million to improve through its Netflix Prize competition?

Streaming platforms have transformed how we discover films and TV shows through sophisticated recommendation algorithms. These systems analyze our viewing history, preferences, and even time of day to suggest content we might enjoy. Major players like Netflix, HBO Max, and Disney+ invest heavily in these technologies to keep viewers engaged and reduce churn. But how much do you know about the algorithms behind your next binge-watch? Test your knowledge of recommendation systems in the entertainment industry!

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Collaborative filtering algorithm that predicts user ratings
Content-based recommendation system using visual scene analysis
Contextual bandits algorithm that optimizes for viewer retention
Hybrid recommendation engine using social network connections