Which personalization algorithm innovation, first implemented by Spotify in 2015, dramatically improved music recommendations by analyzing the audio characteristics of songs rather than just user behavior?

In today's digital music landscape, personalization algorithms have revolutionized how listeners discover new artists and songs. These sophisticated systems analyze listening patterns, preferences, and even the acoustic characteristics of music to create tailored recommendations. But how much do you know about the technology that powers your favorite music streaming services? Test your knowledge about the breakthrough algorithm that changed how we consume music!

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Echo Nest's Acoustic Analysis Framework
Apple's Genius Recommendation Engine
Pandora's Music Genome Project
Amazon's Contextual Bandit Algorithm