Music Recommendation - Current state-of-the-art and challenges by Fabien Gouyon (Pandora).

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. I'll also highlight what I think are interesting challenges in this field. Let's make it interactive and discuss your own questions!

Biography:

Fabien Gouyon leads Pandora’s data science research team in Europe, working on Music Information Retrieval, Recommender Systems, and Natural Language Processing, and applying research to personalized music recommendation. Before joining Pandora, he received a PhD in Computer Science from Universitat Pompeu Fabra and was a co-founder of Barcelona Music and Audio Technologies (BMAT), worked in the Austrian Research Institute for Artificial Intelligence in Vienna, and started and led the Sound and Music Computing Group while teaching at the University of Porto.