[CfP] 4th Music Recommender Systems Workshop @RecSys2026

[Lorenzo Porcaro]

*** Apologies for cross-posting, please distribute ***

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MuRS: Music Recommender Systems Workshop 2026
Minneapolis, Minnesota, USA
September 28th, 2026

https://sites.google.com/view/murs-2026/

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Call for Papers

Music recommendation has long been a topic of interest within the RecSys community, reflecting its critical role in shaping listening experiences on music online platforms. Despite significant advances, music recommender systems continue to face complex challenges, particularly in light of the recent surge in generative AI technologies.

This fourth edition of the Music Recommender Systems Workshop (MuRS) focuses on the implications of generative music for recommendation, how it affects discoverability, listener engagement, platform transparency, and the curation of authentic musical experiences. Addressing these challenges requires insights from multiple research communities, including RecSys and Music Information Retrieval (MIR).

Please find further details on the Call for Papers and submission guidelines on the workshop website: https://sites.google.com/view/murs-2026/call-for-papers

RecSys 2026 will be held in person. All papers accepted to MuRS are expected to be presented on-site. At least one author of each accepted paper must register for and attend the workshop in person to present the work and engage in the Q&A session.

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Important Dates

Initial submission (abstract) : July 14th
Final submission: July 17th
Author notification: August 16th
Camera-ready version: August 31st
Workshop: September 28th

(All deadlines are 23:59 AoE)

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Organizers

- Andrés Ferraro (Nowon AG)
- Lorenzo Porcaro (Sapienza University of Rome, Italy)

- Marta Moscati (JKU and Albatross AI)
- Christine Bauer (University of Salzburg, Austria)

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Lorenzo Porcaro (he/him)
Marie Sklodowska-Curie Postdoctoral Research Fellow

Department of Computer, Control and Management Engineering "A.Ruberti"
Sapienza University of Rome
Via Ariosto 25, 00185, Rome, Italy
https://lorenzoporcaro.me/

Algorithmic Auditing for Music Discoverability (AA4MD)
https://aa4md-project.eu