Which machine learning technique do major music streaming platforms primarily use to analyze listening patterns and generate personalized recommendations?

In today's digital music landscape, streaming platforms use sophisticated algorithms to connect listeners with new music. But how well do you understand the technology and strategies behind music recommendation systems? This trivia question explores how streaming services leverage consumer behavior data and machine learning to create personalized music experiences that keep listeners engaged longer.

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Collaborative filtering that identifies patterns among similar users and their listening habits
Sentiment analysis that evaluates a user's emotional response to previously played songs
Natural language processing that interprets users' spoken commands about music preferences
Supervised classification that categorizes songs based solely on genre-specific audio features