z-logo
open-access-imgOpen Access
Diversity by Design in Music Recommender Systems
Author(s) -
Lorenzo Porcaro,
Carlos Castillo,
Emília Gómez
Publication year - 2021
Publication title -
transactions of the international society for music information retrieval
Language(s) - English
Resource type - Journals
ISSN - 2514-3298
DOI - 10.5334/tismir.106
Subject(s) - recommender system , diversity (politics) , computer science , context (archaeology) , music information retrieval , perspective (graphical) , active listening , musical , taste , value (mathematics) , data science , multimedia , world wide web , sociology , psychology , artificial intelligence , visual arts , communication , geography , art , anthropology , archaeology , neuroscience , machine learning

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here