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 (morning), Prague, Czech Republic (remote participation possible)

(every deadline is 23:59, AoE)

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

Submissions and Template (TBC)

The workshop welcomes the following types of paper contributions:

• Regular papers (max. 8 pages, excl. references) which may include work in progress and preliminary results. Already published results will also be considered.

• Short/Position papers (max. 4 pages, excl. references) describing original ideas, perspectives, research visions, and open challenges.

The contributions are to be submitted via the joint workshop submission portal on EasyChair.
Make sure to select the “3rd Music Recommender Workshop” track when creating a submission.

For the submissions, authors should use the CEURART single-column template:  https://ceurws.wordpress.com/2020/03/31/ceurws-publishes-ceurart-paper-style/, which is also available as an Overleaf template: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw. Submissions will undergo single-blind peer review by at least two Program Committee members and will be selected based on relevance to the workshop, quality, novelty, clarity, and research potential. Authors of accepted papers will be invited to present their work as part of the workshop and will be published as open-access workshop proceedings via ceur-ws.org. At least one author of each accepted paper must attend the workshop and present the work.

Only papers using the above template and within the page limits will be considered.