Logo des Repositoriums
 

Experiences of Non-Mainstream and Minority Users With Music Recommendation Systems

Kurzanzeige
dc.contributor.authorKhan, Shah Noor
dc.contributor.authorHerder, Eelco
dc.contributor.authorKaya, Diba
dc.date.accessioned2024-08-21T11:08:34Z
dc.date.available2024-08-21T11:08:34Z
dc.date.issued2024
dc.description.abstractMusic recommendation systems are widely used to consume music. However, non-mainstream users often receive recommendations that do not align with their individual preferences. While the algorithmic aspects of these systems have been extensively studied, this paper focuses on understanding the user perspective and experience. For this purpose, we carried out a focus group based study with Turkish-origin users and Dutch users in the Netherlands who use music recommendation systems such as Spotify. The results show that the experiences expressed by the participants were consistent with the literature on how recommender systems perform for minority users. Particularly, we observed that most of these is- sues are related to the more generic popularity bias, which further underlines the need to improve the representation of users with non-mainstream music preferences.en
dc.identifier.doi10.18420/muc2024-mci-ws11-141
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44279
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2024 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.rightshttp://purl.org/eprint/accessRights/RestrictedAccess
dc.rights.urihttp://purl.org/eprint/accessRights/RestrictedAccess
dc.titleExperiences of Non-Mainstream and Minority Users With Music Recommendation Systemsen
dc.typeText/Workshop Paper
gi.conference.date1.-4. September 2024
gi.conference.locationKarlsruhe
gi.conference.sessiontitleMCI-WS11: ABIS 2024 - International Workshop on Personalization and Recommendation

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
muc2024-mci-ws11-141.pdf
Größe:
407.86 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

Workshopband MuC 2024