Which personalization technique was pioneered by Netflix in 2006 that revolutionized how streaming platforms recommend content to viewers?

In today's streaming-dominated entertainment landscape, personalization algorithms determine what content gets suggested to viewers. These sophisticated systems analyze viewing habits, preferences, and behaviors to create tailored recommendations that keep audiences engaged. But how well do you understand the technology that powers these recommendation engines? Test your knowledge about the personalization algorithms that shape modern film and television consumption patterns!

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The Netflix Prize competition for collaborative filtering algorithms
The Deep Neural Network Content Analysis System
The Sentiment-Based Viewing Matrix
The Predictive Engagement Score Framework