Big data mining method and system applied to VR shopping mall

According to the big data mining method and system applied to the VR shopping mall, the commodity popularization accuracy and the market response speed are improved. The interaction mode label of the VR shopping mall interaction event is accurately determined, and the potential target customer group is screened based on the preset audience label characteristics, so that the interest trend of the user to the specific VR commodity can be effectively identified. Furthermore, through utilization of preparation-stage commodity interaction migration big data having feature relation with the activated commodity, a sample data sequence is generated, and an interestingness prediction network is trained, the user interestingness possibly caused after a new commodity (in a presentation preparation mode) is converted into an activation mode can be accurately predicted, and then VR interaction parameters are calculated and predicted. Scientific basis is provided for formulating commodity marketing strategies, and efficien