Presenter: MsC. Lorenzo Porcaro
Music Recommender Systems (Music RS) are nowadays pivotal in shaping the listening experience of people all around the world. Thanks also to their widespread use in music streaming services, it has been possible to enhance several characteristics of such systems in terms of performance, design, and user experience. Nonetheless, imagining Music RS only from an application-driven perspective may generate an incomplete view of how this technology is affecting people’s habitus, from the decision- making processes to the formation of musical taste and opinions. In this talk, I will address the concept of diversity in music recommendation, and taking a value-driven approach, I will discuss diversity-related methodologies proposed in the Music RS literature. Maintaining an interdisciplinary perspective, I will discuss some challenges that MIR practitioners may face when researching Music RS, going beyond the search for better performance and instead questioning the theoretical foundations on which to base future research.
Porcaro, L., Castillo, C. and Gómez, E., 2021. Diversity by Design in Music Recommender Systems. Transactions of the International Society for Music Information Retrieval, 4(1), pp.114–126. DOI: http://doi.org/10.5334/tismir.106
When: March 29th, 2022
Where: https://meet.jit.si/CompmusSeminário (apenas em caso de dificuldades técnicas, usaremos como endereço alternativo o https://meet.google.com/vhb-wfxh-pwt)