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

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 previous...

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Veröffentlicht in:	Knowledge-based systems 2022-01, Vol.235, p.107665, Article 107665
Hauptverfasser:	Liu, Zhe, Wang, Xianzhi, Li, Yun, Yao, Lina, An, Jake, Bai, Lei, Lim, Ee-Peng
Format:	Artikel
Sprache:	eng
Schlagworte:	Consumer behavior Consumers Correlation analysis Electronic commerce Embedding Feature extraction Graphical neural networks Hierarchical embedding Personality Purchase prediction Purchasing
Online-Zugang:	Volltext
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