Unraveling Multifaceted User Preferences on Digital Platforms: A Bayesian Deep-Learning Approach

This paper proposes a Bayesian deep-learning model that captures multifaceted, time-varying user activities on digital platforms, yielding interpretable and dynamic preference estimations at the platform and individual levels.