Program

Program

9:00 - Opening Remarks

9:15 - Session 1

• LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation (article)

Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, and Tat-Seng Chua

• Let’s Get It Started (Again!): Fostering the Discoverability of New Releases on Deezer (article, slides)

Léa Briand, Théo Bontempelli, Walid Bendada, Mathieu Morlon, François Rigaud, Benjamin Chapus, Thomas Bouabça, and Guillaume Salha-Galvan

• Towards Characterising Induced Emotions: Exploiting Physiological Data and Investigating the Effect of Music Familiarity (article, slides)

Ismaël Tankeu and Geoffray Bonnin

10:30 - Coffee Break

11:15 - Panel

• Exploring the Impact of Recommender Systems on the Music Sector

María Iglesias, Bruno Massoni Sguerra, and Yu Liang

12:45 - Lunch Break

14:30 - Session 2

• Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks (article, slides)

Florian Grötschla, Luca Strässle, Luca Lanzendörfer, and Roger Wattenhofer

• Hard Negative Sampling for Music Recommendation: Real-World Impacts on Accuracy and Diversity (article, slides)

M. Jeffrey Mei, Oliver Bembom, and Andreas Ehmann

• Talking to your Recs: Multimodal Embeddings for Recommendation and Retrieval (article, slides)

Sergio Oramas, Andrés Ferraro, Álvaro Sarasúa, and Fabien Gouyon

• Navigating Discoverability in the Digital Era: a Theoretical Framework (article, slides)

Rebecca Salganik, Valdy Wiratama, Heritiana Ranaivoson, and Adelaide Afilipoaie

• End-user Algorithmic Auditing for Music Discoverability: A Research Roadmap (article, slides)

Lorenzo Porcaro, Emilia Gómez, and Tiziana Catarci

16:00 - Coffee Break

16:45 - Keynote

• Music as Communication

Nancy Baym

17:40 - Closing Remarks

* Times are in CEST (UTC +2)