Which of the following techniques is NOT commonly used by major streaming platforms like Netflix, Hulu, or Amazon Prime to personalize content recommendations for viewers?

Streaming platforms have revolutionized how we consume film and television content. Behind the scenes, sophisticated recommendation algorithms work tirelessly to personalize your viewing experience. These systems analyze your watch history, ratings, and even how long you watched certain shows to suggest content you might enjoy. But how much do you know about the technology that powers these personalized recommendations? Test your knowledge of streaming platform algorithms in this trivia question!

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Content-based filtering that analyzes the attributes of shows you've watched
Collaborative filtering that compares your viewing habits with similar users
Social graph analysis that primarily uses your friends' watch history
Neural networks that detect patterns in viewing behavior across their user base