AI RESEARCH
Affective Music Recommendation: A Rollout-Based World Model for Offline Preference Optimization
arXiv CS.LG
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ArXi:2605.28810v1 Announce Type: new Functional music applications, from consumer focus and sleep aids to clinical interventions, share a distinctive recommendation problem: success is defined by the listener's affective state, but online experimentation on emotion is ethically constrained, particularly for clinical populations who cannot reliably skip a song or report distress.