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

Mingzhang Yin¹; Ziwei Cong²; Jia Liu^3,4

¹ University of Florida · ² Georgetown University · ³ Hong Kong University of Science and Technology · ⁴ University of Hong Kong

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.

DOI

10.1287/mksc.2024.1090

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