Which technique is NOT commonly used by major music streaming platforms like Spotify and Apple Music in their song recommendation algorithms?

The music industry has been revolutionized by streaming platforms that use sophisticated algorithms to personalize user experiences. These retail personalization systems analyze billions of data points to recommend songs, create playlists, and keep listeners engaged. Test your knowledge about how these powerful recommendation engines actually work behind the scenes!

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Collaborative filtering based on listening patterns of similar users
Audio signal analysis to identify acoustic attributes (tempo, key, instrumentation)
Biometric response tracking through smartphone sensors to measure physical reactions to songs
Natural Language Processing on song lyrics and user-generated playlists