A Personalized Assistant in 3D Virtual Shopping Environment
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.
E-commerce VR personalized assistant data mining 3d virtual shopping
Bing Xu Yonghai Yu
Institute of Interaction Design Zhejiang University of Technology Hangzhou,P.R.China Institute of Interaction Design Zhejiang University of Technology Hangzhou,P.R-China
国际会议
南京
英文
605-608
2010-08-26（万方平台首次上网日期，不代表论文的发表时间）