[CfP] 3rd Music Recommender Systems Workshop 2025 (MuRS 2025) @RecSys2025

[Bauer Christine]

*MuRS 2025*
MuRS: 3rd Music Recommender Systems Workshop 2025
Workshop at ACM Recommender Systems Conference 2025
Prague, Czech Republic
September 22-26, 2025
https://beyondrecsys.github.io/2025/

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*Call for Papers*

Music recommendation is a vibrant area of scientific research, and is driving innovation in many aspects of the music industry. While multiple research communities contribute to advancements in music recommendation in distinct ways, there are limited opportunities bringing researchers and practitioners from these communities together. With MuRS, we provide a forum where the many challenges of music recommendation are discussed jointly.

The key motivation for this third edition is *the growing impact of generative content on music recommendation*. The rapid influx of AI-generated music is reshaping the streaming landscape, raising critical questions about discoverability, authenticity, and the evolving role of recommendation systems in curating such content. As these challenges extend beyond music to other creative domains, a dedicated forum is essential for exploring solutions, sharing insights, and developing frameworks that ensure recommender systems remain transparent, fair, and responsive to the needs of all stakeholders.

We invite researchers, from both, various academic disciplines and industry, to submit papers on music recommendation topics that address but are not limited to:

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

Please find details on paper submission on the workshop website:
https://sites.google.com/view/murs-2025/

Accepted papers will be invited for presentation during the workshop and will be published in the workshop proceedings (most likely via CEUR-WS) after the event.


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*Important Dates*

- Initial submission: August 4th, 2025
- Final submission: August 7th, 2025
- Author notification: August 25th, 2025
- Camera-ready version: September 4th, 2025
- Workshop: September 22th 2025, in the scope of RecSys 2025, Prague, Czech Republic (remote participation possible)

(every deadline is 23:59, AoE)

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*Organizers*

- Andrés Ferraro (SiriusXM, USA)
- Lorenzo Porcaro (Sapienza University of Rome, Italy)
- Christine Bauer (University of Salzburg, Austria)

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--
Univ.-Prof.
Mag. DI Dr. Christine Bauer
Professor of Interactive Intelligent Systems

EXDIGIT
Department of Artificial Intelligence and Human Interfaces
University of Salzburg
Jakob-Haringer-Strasse 1 | Techno 1 | 5020 Salzburg | Austria
www.plus.ac.at | www.christinebauer.eu