  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 environment
for users to move and interact in the virtual environment through VR devices.
The recommendation system will make intelligent recommendations to the target
users based on the data in the database. The intelligent recommendation system
is developed based on item similarity (ICF), which solves the cold start
problem of ICF. This allows VR supermarkets to present real-time
recommendations in any situation. It not only makes up for the lack of user
perception of item attributes in traditional online shopping systems but also
VR Supermarket improves the shopping efficiency of users through the
intelligent recommendation system. The application can be extended to
enterprise-level systems, which adds new possibilities for users to do VR
shopping at home.
