Cognitive process-driven model design: A deep learning recommendation model with textual review and context

Le Wang, Xi Zhao, Ningning Liu, Zhihao Shen, Cong Zou

Abstract: Highlights•A cognitive process-driven DL recommendation model is proposed by integrating textual review and context information.•The framework of the proposed model mimics the human brain's cognitive process for predicting user rating behavior.•Designed a three-layer coattention mechanism for adaptive product matching with user preferences and context.•Extensive experiments demonstrate the outperformance of the proposed model and the rationality of the model design.