An Overview of Music Retrieval and
Recommendation: From Describing Sound to Asking
What Is Fair
Peter Knees1
1
    Vienna University of Technology, 1040 Vienna, Austria


                                         Abstract
                                         In this talk I will describe the developments in music discovery technologies over the last 20 years. This
                                         journey will depart from the question of how music can be algorithmically modeled for content-based
                                         search and recommendation. Then I will detail how additional data sources representing different types
                                         of user interactions have gained importance for these tasks. Ultimately, we will arrive at a discussion
                                         of what the objectives of recommender systems are and—most importantly—could and should be in a
                                         world where music is virtually freely available everywhere and at all times. This will bring us to the
                                         open question of fairness in music recommendation and how future technology could contribute to this.




Human-Computer Interaction Slovenia 2021, November 11, 2021, Koper, Slovenia
Envelope-Open peter.knees@tuwien.ac.at (P. Knees)
                                       © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
    CEUR
    Workshop
    Proceedings
                  http://ceur-ws.org
                  ISSN 1613-0073
                                       CEUR Workshop Proceedings (CEUR-WS.org)