Machine Learning

Machine learning touches every aspect of Spotify’s business. It is used to help listeners discover content via recommendations and search, generate playlists, extract audio content-rich signals for cataloging and other content-based applications, understanding voice commands, serve ads, develop business metrics and optimization algorithms, create music with AI-assisted tools, and more. Central to these endeavors is a commitment to cultivate expertise in the latest approaches as we advance the state of the art in machine learning methodology and applications. Of particular interest are approaches in reinforcement learning, approximate inference, graphical models, causal inference, deep learning, time series modeling, and meta-model learning.

Latest Machine Learning Publications

February 2022 | WSDM

Variational User Modeling with Slow and Fast Features

Ghazal Fazelnia, Eric Simon, Ian Anderson, Ben Carterette, Mounia Lalmas

November 2021 | ISMIR - International Society for Music Information Retrieval Conference

Multi-Task Learning of Graph-based Inductive Representations of Music Content

Antonia Saravanou, Federico Tomasi, Rishabh Mehrotra and Mounia Lalmas

Other Research Areas