CfP: RecSys 2024 Music Recommender Systems Workshop (MuRS)
Lorenzo Porcaro
The Call for Papers is out: https://sites.google.com/view/murs-2024/call-for-papers
We invite the submission of papers -- from both academia and industry -- on methods for music recommendation topics such as:
Fundamentals
Sequential music recommendation
Bandits and reinforcement learning for recommendation
Large language models for recommendation
Multi-stakeholder and multi-objective music recommendation
Music representation learning and music similarity metric learning
Music content understanding and automatic tagging
Methods that mitigate cold-start and popularity bias
Content-based/Hybrid methods that leverage multi-modal information
Listener taste modeling
Listener intent modeling (session-level, and long-term) and context understanding
Fairness, transparency, interpretability & explainability at scale,
Algorithmic biases and fairness
Online and offline evaluation of music recommender systems
Engineering aspects of music recommendation at very large scale
User studies on music consumption
Applications
Playlist generation and continuation
Algorithmic radio programming
Visual recommendations and homepage personalization
Music discovery
Music search and browsing
Conversational interaction with systems
Virtual reality and listening experiences
Music recommendation in social media
Recommender systems in the live music industry
Recommender systems for record labels
Recommender systems for music creation and generation
Societal aspects
Cross-cultural music recommendation
Local music recommendation
Socially-aware music recommender systems
Studies of the societal impact of algorithmic music recommendation
Ethics of music recommender system
- Paper submission: August 2nd, 2024
- Author notification: August 27th, 2024
- Camera-ready version: September 10th, 2024
- Workshop: October 14 or 18, 2024, Bari, Italy (remote participation possible)
MuRS Organizing Committee (Andrés Ferraro, Lorenzo Porcaro, Peter Knees, Christine Bauer)
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