Music Recommender Systems

Allowing for equal opportunities for artists in music recommendation
Promoting diversity in the music sector is widely discussed on the media. While the major problem may lie deep in our society, music …
Christine Bauer
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SpART: Spotlight on Artists in Recommender Systems
The purpose of this project is to understand how current systems used to recommend music affect artists and to propose alternative solutions that could benefit the artists. The goal is to identify potential problems that affect artists, and to draw on the artists’ perspective about how future recommender systems could work.
SpART: Spotlight on Artists in Recommender Systems
An analysis of global and regional mainstreaminess for personalized music recommender systems
The music mainstreaminess of a listener reflects how strong a person’s listening preferences correspond to those of the larger …
Markus Schedl, Christine Bauer
PDF Cite Project DOI CORE 2020: C
On the importance of considering country-specific aspects on the online-market: an example of music recommendation considering country-specific mainstream
In the field of music recommender systems, country-specific aspects have received little attention, although it is known that music …
Christine Bauer, Markus Schedl
PDF Cite Project Slides DOI VHB 2024: B GGS 2021: A
Introducing global and regional mainstreaminess for improving personalized music recommendation
The music mainstreaminess of a user reflects how strong a user’s listening preferences correspond to those of the larger …
Markus Schedl, Christine Bauer
PDF Cite Project Slides DOI ACM Author-izer CORE 2023: C Best Paper Award
Introducing global and regional mainstreaminess for improving personalized music recommendation
Online music listening culture of kids and adolescents: listening analysis and music recommendation tailored to the young
In this paper, we analyze a large dataset of user-generated music listening events from Last.fm, focusing on users aged 6 to 18 years. …
Markus Schedl, Christine Bauer
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Distance- and rank-based music mainstreaminess measurement
A music listener’s mainstreaminess indicates the extent to which her listening preferences correspond to those of the population …
Markus Schedl, Christine Bauer
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Fine-grained culture-aware music recommender systems
This FWF-funded project (2017–2020) aimed to design and implement music recommender systems that are able to meet those requirements by considering different granularity levels of cultural aspects in a comprehensive way.
Project meta-data Project website at CP@JKU
Fine-grained culture-aware music recommender systems