MuRS 2024:
Call for Papers
Important Dates
Paper submission: August 2nd, 2024
Author notification: August 27th, 2024
Camera-ready version: September 10th, 2024
Workshop: October 14, 2024, Bari, Italy (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. 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
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: http://easychair.org/my/conference?conf=recsys2024workshops
Make sure to select the “2nd 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.