Which AI-powered music recommendation system, launched in 2000, analyzed acoustic attributes of songs rather than relying solely on user behavior data, and became the foundation for Pandora Radio?

In today's digital music marketplace, recommendation algorithms have transformed how listeners discover new artists and songs. These sophisticated systems analyze listening patterns, purchase history, and even acoustic features to suggest music that resonates with individual preferences. But how much do you know about the pioneering technology that revolutionized personalized music discovery? Test your knowledge about a game-changing recommendation system that forever altered the music retail landscape.

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The Music Genome Project
Echo Nest Algorithm
Collaborative Filtering Engine
SoundHound Neural Network