Program

Program

8:25 - Opening Remarks

8:30 - Session 1 - LLM, Content, and Multi-modality

• Audio, Lyrics, Videoclips, Interactions? An Analysis of Uni- and Multi-Modal Music Retrieval Systems in Terms of Accuracy and Beyond-Accuracy Aspects - Marta Moscati, Gustavo Escobedo, Eduardo Hernandez, Jonas Peche and Markus Schedl (pdf)

• Towards Cross-Dataset Music Representations by Bridging Large-Scale Context and Audio-based Embeddings - Shahrzad Shashaani and Peter Knees (pdf)

• Using Language Models for Music Recommendations with Natural-Language Profiles - Paul Gagliano, Griffin Homan, Douglas Turnbull and Venkata Govindarajan (pdf)

9:30 - Session 2 - Recommendation, Hit Prediction, and Behavior Analysis 

• Recommending for the audience: tailoring a live concert program to the music preferences of the listeners - Martijn Willemsen and Yu Liang (pdf)

• A unified recommendation model for features summarization - Vito Bellini, Zhan Shi, Huseyin Yurtseven and Emanuele Coviello (pdf)

• An Analysis of the Evolution of Music Listening Data and the Need for Task Discernment - Shahrzad Shashaani, Pavan Seshadri and Peter Knees (pdf)

10:30 - Coffee Break

11:00 - Session 3 - FAccT

• User-Driven Fairness in Music Recommendations: Effects on Experience - Shah Noor Khan, Jesse Nieuwkoop and Judith Masthoff (pdf)

• Artist Considerations in Offline Evaluation of Music Recommender Systems - Gregor Meehan and Johan Pauwels (pdf)

• HUMMUS: A Human-Centered Approach to Sequential Recommendation Explainability through Data Humanism - Ibrahim Al-Hazwani, Matthias Mylaeus, Daniela Mormocea, Jürgen Bernard and Lorenzo Porcaro  (pdf)

12:00 - Keynote

• In search of Human-AI Resonance by Anna Huang (MIT)
  
  

12:30 - Closing Remarks

12:35 - Lunch Break

* Times are in CEST (UTC +2)