A Personalized Assistant in 3D Virtual Shopping Environment
Bing Xu, Yonghai Yu · 2010
Virtual reality (VR) and data mining techniques are widely used in E-commerce. This paper discusses the integration of personalized recommendation system in 3d virtual shopping environment. Our approach has two obvious features: one is the personalized recommendation based on data mining technologies, which means the system enhances the customer desired product attributes by utilizing his/her past purchases, and the other is the application of 3D graphical representations to achieve the realistic and human-like shopping experience such as the personalized avatars, and collaborative interaction between the customers. We experimentally evaluate the system on a real-life data in order to assess its potential usefulness. The methodology discussed here can be useful for customers in making a better choice of the target product in virtual shopping environment.