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This paper proposes a VR supermarket with an intelligent recommendation,which consists of three parts. The VR supermarket, the recommendation system,and the database. The VR supermarket provides a 360-degree virtual environmentfor users to move and interact in the virtual environment through VR devices.The recommendation system will make intelligent recommendations to the targetusers based on the data in the database. The intelligent recommendation systemis developed based on item similarity (ICF), which solves the cold startproblem of ICF. This allows VR supermarkets to present real-timerecommendations in any situation. It not only makes up for the lack of userperception of item attributes in traditional online shopping systems but alsoVR Supermarket improves the shopping efficiency of users through theintelligent recommendation system. The application can be extended toenterprise-level systems, which adds new possibilities for users to do VRshopping at home.

A Novel Position-based VR Online Shopping Recommendation System based on Optimized Collaborative Filtering Algorithm