Which machine learning technique is NOT commonly used by major music streaming services for their recommendation algorithms?

The music industry has been transformed by streaming platforms that use sophisticated machine learning algorithms to personalize user experiences. These algorithms analyze listening patterns, preferences, and behaviors to recommend new music and create custom playlists. Test your knowledge about how these music recommendation engines work behind the scenes and how they've changed how we discover new artists and songs.

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Collaborative filtering based on user listening patterns
Neural networks for audio content analysis
Quantum computing algorithms for playlist generation
Natural language processing for analyzing song lyrics and user reviews