Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA
Oscar Celma

Oscar Celma
Director of Research, Pandora

Website | @ocelma

Òscar Celma is currently Director of Research at Pandora, where he leads a team of scientists to provide the best personalized radio experience.
From 2011 till 2014 Òscar was Senior Research Scientist at Gracenote. His work focused on music and video recommendation and discovery.
Before that he was co-founder and Chief Innovation Officer at Barcelona Music and Audio Technologies (BMAT).
Òscar published a book named "Music Recommendation and Discovery” (Springer, 2010).
In 2008, Òscar obtained his Ph.D. in Computer Science and Digital Communication, in the Pompeu Fabra University (Barcelona, Spain).
He holds a few patents from his work on music discovery as well as on Vocaloid, a singing voice-synthesizer bought by Yamaha in 2004.

Sessions

4:00pm–4:40pm Friday, 02/20/2015
Data Science
Location: 210 A/E
Oscar Celma (Pandora)
Average rating: ****.
(4.40, 5 ratings)
Pandora is not the “Netflix for music.” The success of Pandora lies in the unique combination of a curated music catalog of 1.5M+ tracks with a sophisticated set of machine learning models that integrates contextual user feedback from more than 250M people. This talk will unveil Pandora’s dynamic ensemble learning approach that provides a truly personalized experience for each of our listeners. Read more.