This document summarizes Pandora's approach to music recommendations. It discusses Pandora's scale with over 200 million registered users and how they utilize A/B testing and metrics to continuously improve recommendations. Pandora uses an ensemble of 50+ recommendation algorithms including content-based analysis of over 450 musical attributes per song from the Music Genome Project, collaborative filtering, and reinforcement learning from collective listener feedback. The goal is connecting people to music they love by leveraging many techniques rather than any single approach.