Exploration of consumer preference based on deep learning neural network model in the immersive marketing environment.

ABSTRACT: The study intends to increase the marketing quantity of various commodities and promote the comprehensive development of the market. The study first discusses the principle and current situation of the emerging Immersive Marketing. Then, it analyzes the Deep Learning (DL) Neural Network (NN) model. Finally, a Personalized Recommendation System (PRS) is designed based on the Immersive Marketing environment using the Graph Neural Network (GNN) model. The proposed PRS based on the Immersive Graph Neural Network (IGNN) model has reflected higher advantages over other recommendation systems. The experiment results suggest that Immersive Marketing can fully reflect commodities' essential attributes and characteristics, improve users' shopping experience, and promote sales. Meanwhile, the IGNN-ba

SUBMITTER: Zheng Q 

PROVIDER: S-EPMC9067676 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature