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.

• 저널Marketing Science
• 토픽Persona Design and Applications · Human-Computer Interaction
• DOI10.1287/mksc.2024.1090
• 저자Mingzhang Yin, Ziwei Cong, Jia Liu