Which pioneering technique did Netflix implement in their recommendation system that revolutionized content discovery in streaming media?

Streaming platforms have transformed how we discover films and TV shows through sophisticated recommendation algorithms. These systems analyze viewing habits, preferences, and even production elements to suggest content tailored to individual viewers. From Netflix's famous algorithm that powers 80% of viewer choices to Disney+'s content categorization system, recommendation engines have become crucial to audience engagement and content discovery in the modern entertainment landscape. How well do you understand the technology behind what shows up on your 'Recommended for You' section?

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Collaborative filtering with matrix factorization that predicts user preferences based on viewing patterns of similar users
Chronological suggestion system that recommends content based solely on release dates and viewing timestamps
Random forest algorithm that exclusively categorizes content by genre and actor popularity metrics
Static preference modeling that only updates recommendations after users manually rate at least 50 titles