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.
This thematic research focus has its origin in the collaboration with Andrés Ferraro starting in 2019. Of course, we are joining forces with many excellent researchers to move forward.
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Publications
As recommender systems are prone to various biases, mitigation approaches are needed to ensure that recommendations are fair to various …
Andres Ferraro, Michael D. Ekstrand, Christine Bauer
As streaming services have become a main channel for music consumption, they significantly impact various stakeholders: users, artists …
Karlijn Dinnissen, Christine Bauer
Music recommender systems, commonly integrated into streaming services, help listeners find music. Previous research on such systems …
Karlijn Dinnissen, Isabella Saccardi, Marloes Vredenborg, Christine Bauer
The majority of music consumption nowadays takes place on music streaming platforms. Whichever artists, albums, or songs are exposed to …
Karlijn Dinnissen, Christine Bauer
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ACM Author-izer
CORE 2023: B GGS 2021: B
nominated for Best Student Paper Award
Music streaming platforms are currently among the main sources of music consumption, and the embedded recommender systems significantly …
Andres Ferraro, Xavier Serra, Christine Bauer