TuneJury aims to predict music preferences from human judgments

TuneJury is introduced as a model that learns from human judgments to predict which music people prefer. Its scores are intended for comparing tracks and filtering music datasets. One user says their group already uses it for follow-up work and finds it useful for data filtering and improving models.