Which machine learning technique is NOT commonly used in major streaming platforms for content recommendation algorithms?

Streaming platforms use sophisticated algorithms to keep viewers engaged. These recommendation systems analyze viewing patterns, preferences, and even production elements to suggest content you might enjoy. But how well do you understand the technology that drives what shows up on your home screen? Test your knowledge about the machine learning systems that shape your entertainment choices and influence production decisions in modern film and television.

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Collaborative filtering that analyzes viewing patterns across similar user groups
Random forest models that categorize content based on multiple metadata attributes
Blockchain-based neural networks that verify content authenticity before recommendation
Natural language processing to analyze script content and dialogue patterns