MuRS: Music Recommender Systems Workshop

Ferraro, Andres; Knees, Peter; Quadrana, Massimo; Ye, Tao; Gouyon, Fabien

doi:10.1145/3604915.3608750

Record link:

http://hdl.handle.net/20.500.12708/193569

Title:

MuRS: Music Recommender Systems Workshop

Citation:

Ferraro, A., Knees, P., Quadrana, M., Ye, T., & Gouyon, F. (2023). MuRS: Music Recommender Systems Workshop. In J. Zhang, L. Chen, S. Berkovsky, J.-M. Zhang, T. Di Noia, J. Basilico, L. Pizzato, & Y. Song (Eds.), Proceedings of the Seventeenth ACM Conference on Recommender Systems, Singapore, 18th–22nd September 2023 (pp. 1227–1230). Association for Computing Machinery (ACM). https://doi.org/10.1145/3604915.3608750

CatalogPlus:

AC17204088

Publisher DOI:

10.1145/3604915.3608750

Publication Type:

Inproceedings - Full-Paper Contribution

Language:

English

Authors:

Ferraro, Andres
Knees, Peter
Quadrana, Massimo
Ye, Tao
Gouyon, Fabien

Organisational Unit:

E194-04 - Forschungsbereich Data Science

Published in:

Proceedings of the Seventeenth ACM Conference on Recommender Systems, Singapore, 18th–22nd September 2023

ISBN:

979-8-4007-0241-9

DOI of the book:

10.1145/3604915

Date (published):

14-Sep-2023

Event name:

17th ACM Conference on Recommender Systems

Event date:

18-Sep-2023 - 22-Sep-2023

Event place:

Singapore, Singapore

Number of Pages:

Publisher:

Association for Computing Machinery (ACM), New York

Keywords:

music information retrieval; music recommender systems

Abstract:

The workshop aims at bridging the existing gap between the diverse research communities focused on the specific challenges of music recommender systems. It will provide a space for researchers and practitioners from multiple disciplines to jointly discuss and exchange perspectives and solutions, and to promote discussion from both academia and industry upon future research directions in the area of music recommender systems.

Project title:

Empfehlungssystem & Nutzer: Hin zu gegenseitigem Verständnis: P 33526-N (FWF - Österr. Wissenschaftsfonds)

Link (external):

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

Research Areas:

Information Systems Engineering: 100%

Science Branch:

1020 - Informatik: 100%

License:

In Copyright

Appears in Collections:

Conference Paper