Call For Papers

Important Dates

Paper submission: August 3rd, 2023 AoE

Initial submission: August 3rd, 2023 AoE

Final submission:  August 6th, 2023 AoE

Author notification: August 27th, 2023

Camera-ready version: September 10th, 2023

Workshop: September 19th, 2023, Singapore (remote participation possible)

UPDATE: We extended the deadline until August 6th. A first submission including the title and authors of the paper must be created before August 3rd.

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, there is today limited space for cross-pollination across researchers and practitioners from these communities. In order to contribute to filling in this gap, we invite the multidisciplinary research communities, from both academia and industry, to submit papers on methods for music recommendation topics such as: 

• Fundamentals

  • Sequential music recommendation

  • Bandits and reinforcement learning for music recommendation

  • Large language models for music recommendation

  • Multi-stakeholder and multi-objective music recommendation

  • Music representation learning and music similarity metric learning (for music recommendation)

  • Music content understanding and automatic music tagging (for music recommendation)

  • 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

  • Transparency, interpretability & explainability at scale

  • Algorithmic bias, fairness

  • Online and offline evaluation of music recommender systems

  • Engineering aspects of music recommendation at very large scale

  • User studies of music consumption

• Applications

  • Playlist generation and continuation

  • Algorithmic radio programming

  • Visual recommendations and homepage personalization

  • Music discovery

  • Music search and browsing

  • Conversational music interactions

  • Virtual reality and music recommendation

  • 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 development

Submissions and Template

We welcome the following types of contributions:

• Regular papers (4 pages max.) which may include work in progress and preliminary results. Already published results will also be considered.

• Position papers (2 pages max.) describing original ideas, perspectives, research visions, and open challenges.

The contributions will be submitted via CMT: https://cmt3.research.microsoft.com/MuRS2023. 

Authors should submit manuscripts that follow the format defined in the ACM Proceedings template in double-column and will be reviewed following a single-blind process. The selection of the contributions will depend on their relevance to the workshop, innovation, and research potential. Once the workshop is concluded, all accepted contributions will be publicly available on the workshop website.

Only papers using the above template and within the page limits will be considered.  Page limits are excluding references.