Bayesian deep-learning approach captures dynamic user preferences in digital platforms, revealing valuable insights.
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.
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Yin et al. (2026) studied this question.
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