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As streaming services have become a main channel for music consumption, they significantly impact various stakeholders: users, artists …

Music recommender systems, commonly integrated into streaming services, help listeners find music. Previous research on such systems …

Recommender systems are prone to various biases. Hence, bias mitigation approaches are needed to counteract those. In the music sector, …

Evaluation is important when developing and deploying recommender systems. The PERSPECTIVES workshop sheds light on the different, …

The majority of music consumption nowadays takes place on music streaming platforms. Whichever artists, albums, or songs are exposed to …

This panel aims to generate conversation toward creating a more equitable CHI. In recognizing our community’s hard work thus far, this …

FairRecKit is a web-based analysis software that supports researchers in performing, analyzing, and understanding recommendation …

Various social influences affect group decision-making processes. For instance, individuals may adapt their behavior to fit in with the …

Evaluation of recommender systems is a central activity when developing recommender systems, both in industry and academia. The second …

In group decision-making, we can frequently observe that an individual adapts their behavior or belief to fit in with the group’s …