Music recommendation diversity: a tentative framework and preliminary results

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• dc.contributor.author Porcaro, Lorenzo
• dc.contributor.author Castillo, Carlos
• dc.contributor.author Gómez Gutiérrez, Emilia, 1975-
• dc.date.accessioned 2019-12-05T12:06:52Z
• dc.date.available 2019-12-05T12:06:52Z
• dc.date.issued 2019
• dc.description Comunicació presentada al 1st Workshop on Designing Human-Centric MIR Systems celebrat el 2 de novembre de 2019 a Delft, Països Baixos, en el marc del 20th annual conference of the International Society for Music Information Retrieval (ISMIR).
• dc.description.abstract Music recommendations are increasingly part of the listening experience of people all over the world, especially in the context of streaming services. In this scenario, recommender systems’ role is to help users in finding music that can fit their interests and tastes. However, Westerncentric perspectives in systems’ design are often subject to criticisms because of their power of reinforcing already existing cultural bias and therefore potentially impacting negatively on the music distribution mechanisms. In our research proposal, we aim to address the problem of assessing the impact of music recommendation diversity, or the lack thereof. This requires 1) the formalization of a working definition of diversity in the music field 2) the development of evaluation practices for estimating diversity in the context of music recommender systems 3) the observation of emerging impact due to music recommendation diversity 4) the proposal of countermeasures for mitigating negative or reinforcing positive impact observed. Basing on already known consequences of information technologies in political, economic and social areas, our goal is to understand the cultural impact that music recommender systems can have on our society.
• dc.description.sponsorship This work is partially supported by the European Commission under the TROMPA project (H2020 770376).
• dc.format.mimetype application/pdf
• dc.identifier.citation Porcaro L, Castillo C, Gomez E. Music recommendation diversity: a tentative framework and preliminary results. In: Miron M, editor. Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems; 2019 2 Nov; Delft, The Netherlands. [Delft: ISMIR]; 2019. p. 11-15.
• dc.identifier.uri http://hdl.handle.net/10230/43113
• dc.language.iso eng
• dc.publisher International Society for Music Information Retrieval (ISMIR)
• dc.relation.ispartof Miron M, editor. Proceedings of the 1st Workshop on Designing Human-Centric Music Information Research Systems; 2019 2 Nov; Delft, The Netherlands. [Delft: ISMIR]; 2019.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/770376
• dc.rights © Lorenzo Porcaro, Carlos Castillo, Emilia Gomez. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Lorenzo Porcaro, Carlos Castillo, Emilia Gomez. “Music Recommendation Diversity: A Tentative Framework and Preliminary Results”, 1st Workshop on Designing Human-Centric MIR Systems, 20th International Society for Music Information Retrieval Conference, Delft, The Netherlands, 2019.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Music Recommender Systems
• dc.subject.keyword Evaluation
• dc.subject.keyword Diversity
• dc.title Music recommendation diversity: a tentative framework and preliminary results
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion