Online Music Listening Culture of Kids and Adolescents: Listening Analysis and Music Recommendation Tailored to the Young

Markus Schedl, Christine Bauer

Research output: Contribution to conferencePaperAcademic

Abstract

In this paper, we analyze a large dataset of user-generated music listening events from Last.fm, focusing on users aged 6 to 18 years. Our contribution is two-fold. First, we study the music genre preferences of this young user group and analyze these preferences for homogeneity within more fine-grained age groups and with respect to gender and countries. Second, we investigate the performance of a collaborative filtering recommender when tailoring music recommendations to different age groups. We find that doing so improves performance for all user groups up to 18 years, but decreases performance for adult users aged 19 years and older.
Original languageEnglish
Publication statusPublished - 2017
Event1st International Workshop on Children and Recommender Systems - Como, Italy
Duration: 27 Aug 201727 Aug 2017
Conference number: 1

Workshop

Workshop1st International Workshop on Children and Recommender Systems
Abbreviated titleKidRec 2017
Country/TerritoryItaly
CityComo
Period27/08/1727/08/17

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