Shuvi

Why Did the Algorithm Think I'd Like This? Understanding Behavioral Signals in Personalized Music Recommendation

Research archive for the paper Why Did the Algorithm Think I'd Like This? Understanding Behavioral Signals in Personalized Music Recommendation (Shuvi, in submission to the Journal of Open Humanities Data). The archive contains the unified 22-scorer evaluation kernel (lb-eval v5....

Sanitizing Music Listening Histories at Scale: A Reproducible Quality Audit of MLHD+

Music recommendation research depends on large-scale datasets of timestamped listening events, yet such datasets are rarely subjected to rigorous, published quality audits. We present a reproducible sanitization and audit pipeline applied to MLHD+ (Music Listening Histories Datas...