Pandora internet radio is best known for the Music Genome Project; the most unique and richly labeled music catalog of 1.5 million+ tracks. While this content-based approach to music recommendation is extremely effective and still used today as the foundation to the leading online radio service, Pandora has also collected more than a decade of contextual listener feedback in the form of more than 45 billion thumbs from 76M+ monthly active users who have created more than 6 billion stations. This session will look at how the interdisciplinary team at Pandora goes about making sense of these massive data sets to successfully make large scale music recommendations to the masses. Following this session the audience will have an in-depth understanding of how Pandora uses Big Data science to determine the perfect balance of familiarity, discovery, repetition and relevance for each individual listener, measures and evaluates user satisfaction and how our online and offline architecture stack plays a critical role in our success.
Session Summary
Pandora internet radio is best known for the Music Genome Project
MLconf 2014 San Francisco
Oscar Celma
Pandora
VP of Data Science
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