Which personalization approach has been proven most effective at reducing subscriber churn for major streaming platforms?

Streaming platforms revolutionized how we consume film and television content, but they've also pioneered sophisticated personalization algorithms that shape our viewing habits. These algorithms analyze your watching patterns, preferences, and behaviors to curate content specifically for you. But how well do you understand the technology behind your personalized recommendations? Test your knowledge about the personalization techniques that major streaming services use to keep viewers engaged and reduce subscriber churn.

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Time-of-day content matching (recommending different content types based on the time of day a user typically watches)
Collaborative filtering (recommending content based on what similar users have enjoyed)
Content categorization by visual elements (analyzing color palettes and visual styles of previously watched content)
Actor-based recommendations (prioritizing content featuring actors from a user's most-watched shows/films)