Four-Dimensional Shopping Mall: Sequential Group Willingness Optimization under VR Environments

PubDate: April 2018

Teams: National Chiao Tung University

Writers: Hong-Han Shuai；Yueh-Hsue Li；Chun-Chieh Feng；Wen-Chih Peng

PDF: Four-Dimensional Shopping Mall: Sequential Group Willingness Optimization under VR Environments

Abstract

Nowadays, people get used to buying a variety of commodities from e-commerce platforms because of the convenience and easy access to Internet. As a result, the sales on e-commerce platforms have grown exponentially. It is promising to customize the online shops for different users under VR environments since users do not need to waste time of going upstairs or downstairs for finding interesting commodities. Therefore, in this demo paper, we propose a novel four-dimensional shopping mall that offers online group shopping services with the customized shop recommendation, where a group of friends in the proposed four-dimensional shopping mall can teleport to the next shop by one click. We formulate a Sequential group wIllingness OptimizatioN (SION) problem, prove SION is NP-hard, and provide an efficient algorithm called ζ-GSS. The experimental results show that the solution quality of the proposed ζ-GSS is close to the optimal solution, while the execution time only requires 3.3%. Finally, we build the prototype of the four-dimensional shopping mall, which can be demonstrated for users to experience the next-generation online shopping.