Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding

• Main Authors: LIU, Zhe, WANG, Xianzhi, YAO, Lina, AN, Jake, BAI, Lei, LIM, Ee-peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Correlation analysis; Graphical neural networks; Hierarchical embedding; Purchase prediction; Databases and Information Systems; E-Commerce; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/6439; https://ink.library.smu.edu.sg/context/sis_research/article/7442/viewcontent/FaceToPurchase_2022_sv.pdf
• Institution: Singapore Management University

Predicting consumers’ purchasing behaviors is critical for targeted advertisement and sales promotion in e-commerce. Human faces are an invaluable source of information for gaining insights into consumer personality and behavioral traits. However, consumer's faces are largely unexplored in prev...