MuRS 2024: 2nd Music Recommender Systems Workshop

Music recommendation has been relevant to the Recommender Systems (RecSys) community since the early days. With the growth of music streaming platforms, algorithmic recommendations have become critical in the music industry. However, many challenges are still wide open in the area of music recommender systems. Such challenges are currently being addressed in several research communities, including and beyond the RecSys and the Music Information Retrieval (MIR) communities. The RecSys conference has traditionally not focused very much on music content understanding. In contrast, while music content understanding is central to the MIR community, research on recommender systems is not prominent in MIR research. The Music Recommender Systems Workshop (MuRS) aims at bridging the existing gap between the diverse research communities focused on the specific challenges of music recommender systems. The workshop provides 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.

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Publication Details

Published
2024-10-08
DOI
https://doi.org/10.1145/3640457.3687097
Citations
1
Primary Topic
Music and Audio Processing
Type
article
Field-Weighted Citation Impact
0.35

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article

MuRS 2024: 2nd Music Recommender Systems Workshop

Christine Bauer, Andrés Ferraro, Lorenzo Porcaro, Peter Knees
1 citations
Music and Audio Processing
0.35
article

MuRS 2024: 2nd Music Recommender Systems Workshop

Christine Bauer, Andrés Ferraro, Lorenzo Porcaro, Peter Knees
article en
1 citations

Abstract

Music recommendation has been relevant to the Recommender Systems (RecSys) community since the early days. With the growth of music streaming platforms, algorithmic recommendations have become critical in the music industry. However, many challenges are still wide open in the area of music recommender systems. Such challenges are currently being addressed in several research communities, including and beyond the RecSys and the Music Information Retrieval (MIR) communities. The RecSys conference has traditionally not focused very much on music content understanding. In contrast, while music content understanding is central to the MIR community, research on recommender systems is not prominent in MIR research. The Music Recommender Systems Workshop (MuRS) aims at bridging the existing gap between the diverse research communities focused on the specific challenges of music recommender systems. The workshop provides 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.

TU Wien (AT), University of Salzburg (AT), Joint Research Centre (IT)
European Commission, Austrian Science Fund, Joint Research Centre
Openalex Percentile: Top 44%
Music and Audio Processing
0.35
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