Music

Defense by Lorenzo Porcaro

Next week, Lorenzo Porcaro will defend his PhD thesis with the title “Assessing the Impact of Music Recommendation Diversity on Listeners”.

I have to honor to chair the jury consisting of two legends in the field, Perfecto Herrera (UPF) and Mounia Lalmas-Roelleke (Spotify),—and myself. At UPF, the chair is indeed called president. When else will I have the opportunity to be called “the president” ;-)

Defense by Lorenzo Porcaro
Featured in episode 8 of the Recsperts podcast

I am happy to share that episode #8 of the Recsperts podcast was released. Marcel Kurovski, who hosts this podcast, has invited me to talk about my research on recommender systems.

And so we did. We discuss the specifics of recommenders in the music (streaming) domain, my research on fairness from the artists’ perspective, and the importance of multi-method evaluation. I also share my view on the opportunities of leveraging context awareness for recommender systems.

Featured in episode 8 of the Recsperts podcast
Mini review on fairness in music recommender systems

The first joint paper with Karlijn Dinnissen has just appeared in the journal Frontiers in Big Data. In this mini review, we take a stakeholder-centered view and discuss literature on fairness in music recommender systems from the perspective of the various stakeholders.

Mini review on fairness in music recommender systems