Abstract

In this talk I will present an overview of recommendation systems in the music streaming industry. We will go over the practical case of playlist generation and station continuation and highlight current challenges. I'll also highlight what I think are interesting challenges in this field. Let’s make it interactive and discuss your own questions!

Short Bio

Fabien Gouyon currently leads Pandora's Data Science Reseach team in Europe, whose mission is to investigate solutions for Music Information Extraction, Recommendation Systems and Natural Language Processing, with applications to Personalized Music Recommendation. Prior to joining Pandora, he earned a PhD in Computer Science in Barcelona, co-founded Barcelona Music and Audio Technologies (BMAT), worked at the Austrian Research Institute for Artificial Intelligence in Vienna, and created and led the group on Sound Computing and Musical while teaching at the University of Porto.

About Talks@DCC 

The mission of the Talks@DCC seminars is to bring together researchers and students, to foster discussions and promote scientific awareness and collaboration.

Participate: attend and propose your talk.