Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning. (arXiv:2207.13909v1 [cs.IR])

Advanced music recommendation systems are being introduced along with the
development of machine learning. However, it is essential to design a music
recommendation system that can increase user satisfaction by understanding
users' music tastes, not by the complexity of models. Although several studies
related to music recommendation systems exploiting negative preferences have
shown performance improvements, there was a lack of explanation on how they led
to better recommendations. In this work, we analyze the role of negative
preference in users' …

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