Social music discovery: an ethical recommendation system based on friend’s preferred songs
Marco Furini,
Francesca Fragnelli
Abstract:Music recommendation systems have become ubiquitous in today’s world, but they raise ethical concerns related to bias, discrimination, and lack of transparency. To address these issues, we propose a recommendation system that combines content-based and collaborative filtering approaches within three different recommendation algorithms. These algorithms create playlists that mimic the user’s listening habits while identifying similar tracks within the listening histories of the user’s friends. To evaluate the e… Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.