Program
14:30 - 15:15 Keynote presentation: Luis Aguiar, Platforms, Promotion, and Product Discovery: Evidence from Spotify Playlists [slides]
15:15 - 16:15 Presentations
Andres Ferraro, Dmitry Bogdanov, Xavier Serra and Jason Yoon. Artist and Style Exposure Bias in Collaborative Filtering Based Music Recommendations
Peter Knees and Moritz Hübler. Towards Uncovering Dataset Biases: Investigating Record Label Diversity in Music Playlists
Finn Upham. Human Subtracted: Social Distortion of Music Technology
Lorenzo Porcaro, Carlos Castillo and Emilia Gómez. Music Recommendation Diversity: A Tentative Framework and Preliminary Results
16:15 - 16:45 Snack break
16:45 - 17:30 Keynote presentation: Nava Tintarev, Supporting user control for music recommendations [slides]
17:30 - 18:30 Presentations
Christine Bauer. Allowing for equal opportunities for artists in music recommendation: A position paper
Peter Knees. A Proposal for a Neutral Music Recommender System
Masoud Mansoury, Himan Abdollahpouri, Joris Rombouts and Mykola Pechenizkiy. The relationship between the consistency of users' ratings and recommendation calibration
Alessandro Palladini and Augoustinos Tsiros. Towards a Human-Centric Design Framework for AI Assisted Music Production