The Design of Online Shopping Platform Support System Based on Web3.0

DOI

10.2991/icefs-17.2017.24How to use a DOI?

Keywords

Web3.0, online shopping platform, Big Data, Web 3D technology

Abstract

The business volume of online shopping which is based on the internet will have an inevitable sustained growth, and it can hardly satisfy customers' shopping experience only by the online shopping platform that is form by 2D graphic and text messages. By hold some characteristics of Web3.0 time, this article set the future online shopping platform system, which can visualize the product. The system use Distributed Artificial Intelligence to be its main body frame, mix some modern technology such as Big Data, Web3D and so on, improve customers' shopping experience by visualize the 3D presentation of products to them through the platform.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tongdi Xiao
AU  - Zhenghua Hu
AU  - Libing He
PY  - 2017/01
DA  - 2017/01
TI  - The Design of Online Shopping Platform Support System Based on Web3.0
BT  - Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 230
EP  - 235
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.24
DO  - 10.2991/icefs-17.2017.24
ID  - Xiao2017/01
ER  -