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Tuesday, February 14 • 11:00am - 11:40am
Inside Pandora The Explore-Exploit Dilemma in Recommendation

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Recommendation systems are the crystal ball of the Internet: predicting user intentions, making sense of big data, and delivering what people are looking for before they even know they want it. Pandora recommends an evolving set of songs in real-time, which constantly keep the experience new and exciting.
This talk will present an overview of how recommendation works at Pandora, followed by a deep dive into the engineering challenges of recommender systems.

avatar for Oscar Celma

Oscar Celma

Director of Research, PANDORA
Dr. Òscar Celma is Director of Research at Pandora, where he leads a team of 60 (25 scientists and 35 musicologists) to provide the best personalized music discovery experience. Òscar has published a book named "Music Recommendation and Discovery" (Springer, 2010).

Tuesday February 14, 2017 11:00am - 11:40am PST
DeveloperWeek Workshop Stage 1 Monday: 555 North Point St, San Francisco, CA 94133 Tuesday & Wednesday: The Embarcadero San Francisco CA 94105