DLGNN: A Double-layer Graph Neural Network Model Incorporating Shopping Sequence Information for Commodity Recommendation

The essence of recommendation methods for online shopping is to predict whether the user will buy specified products. The existing methods are usually modeled on a user–item-score matrix, which does not consider the transformation of users and items. The transformation is hidden in the behavior and...

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Veröffentlicht in:	Sensors and materials 2020-12, Vol.32 (12), p.4379
Hauptverfasser:	Wei, Chuyuan, Niu, Jianwei, Guo, Yanyan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Commodities Electronic commerce Graph neural networks Neural networks Recommender systems Representations Smart cities State vectors
Online-Zugang:	Volltext
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