Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing
Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas
Research in algorithmic responsibility at Spotify combines machine learning research with social science to ensure high quality data decisions and equitable algorithmic outcomes. We carry out in-depth research, perform product-focused case studies, as well as develop practical tools that teams can actually use. We do this by taking deep-dives into the characteristics of large-scale datasets, including understanding which creators are less accessible in both existing recommendations and new modalities such as voice, and developing machine learning approaches that combine multiple stakeholder objectives.
Emanuele Bugliarello, Rishabh Mehrotra, James Kirk, Mounia Lalmas
Maryam Aziz, Alice Wang, Aasish Pappu, Hugues Bouchard,Yu Zhao, Benjamin Carterette and Mounia Lalmas
Alice Wang, Aasish Pappu, Henriette Cramer