Thursday, 7th of April 2022, 12:00 – 1:00

Context matters: An example of country context in music recommender systems

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Christine Bauer - Utrecht University


Algorithmic curation has been adopted by online music platforms to assist listeners in navigating the huge catalogs of music recordings. An ideal music recommender system is meant to propose “the right music, to the right user, at the right moment”. What happens if a music recommender does not consider country-specific variations in music taste? And what happens if so? Besides showcasing country-specific differences in music taste, I will demonstrate performance differences of recommender approaches with and without considering the country context.



Christine Bauer is an assistant professor at the Human-Centred Computing group at the Department of Information and Computing Sciences at Utrecht University, The Netherlands. Her research activities center on interactive intelligent systems. Recently, she focuses on context-aware (music) recommender systems. A core interest in her research activities are fairness in algorithmic decision-making and multi-method evaluations. Her research and teaching activities are driven by her interdisciplinary background. She holds a Doctoral degree in Social and Economic Sciences, a Master degree in Business Informatics, and a Diploma degree in International Business Administration. In addition, she pursued studies in jazz saxophone.



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