The Design of Online Shopping Platform Support System Based on Web3.0
Authors
Tongdi Xiao, Zhenghua Hu, Libing He
Corresponding Author
Tongdi Xiao
Available Online January 2017.
- 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/).
Cite this article
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 -