Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

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
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-311-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/icefs-17.2017.24How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 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  - https://doi.org/10.2991/icefs-17.2017.24
ID  - Xiao2017/01
ER  -