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

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arxiv 1912.11564 v1 pith:7CA6ZLQ3 submitted 2019-12-24 cs.IR

classification cs.IR
keywords musicgroupslisteningperformanceyearsagedanalyzepreferences
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Soundtracks of Our Lives: How Age Influences Musical Preferences

    cs.IR 2025-09 conditional novelty 5.0 of 10

    Using 15 years of Last.fm listening data, the study shows that intra-user musical diversity increases with age while inter-user variation decreases, and that after age 40 listening becomes increasingly nostalgic.

  2. Recommending With, Not For: Co-Designing Recommender Systems for Social Good

    cs.HC 2025-08 conditional novelty 5.0 of 10

    Recommender systems for social good should be co-designed with the communities they affect, across problem definition, design, evaluation, and monitoring.

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