Analysis of the Application of Big Data in Intelligent Tourism Mode

DOI

10.2991/iceeecs-16.2016.227How to use a DOI?

Keywords

Intelligent Tourism, Big Data, Intelligence Management, Intelligence Service, Wisdom Marketing

Abstract

With the sustained growth of China's national economy, tourism has become a "spice" of national life. The annual tourism revenue to a new high more than 4 trillion yuan in 2015 of our national, according to the National Tourism Administration issued the "China Tourism Development Report (2016)" data show. The rising of the data will directly indicate the coming of the era of the whole people's travel, at the same time, with the development of social information technology, the public awareness of the Internet continues to improve, people also put forward higher requirements on the tourism quality, service and innovation. In order to make the tourism industry develop with the times, Jiangsu province took the lead to put forward the new concept of "Intelligent Tourism" in the whole country in 2010. It will make the Internet and other related technology and the development of tourism innovation and development for the ideas be made one, for the tourism industry. Currently supporting the development of intelligent tourism related technologies have been gradually mature, tend to improve. A large number of effective resources provided by the large number of effective resources to become a major force in the development of Intelligent Tourism in this process, mainly reflected in the three aspects of tourism management, tourism services and tourism marketing. This thesis will make a concrete analysis and Research on the application of big data in Intelligent Tourism mode.

Copyright

© 2016, 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  - Wanchun Zhu
PY  - 2016/12
DA  - 2016/12
TI  - Analysis of the Application of Big Data in Intelligent Tourism Mode
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 1179
EP  - 1183
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.227
DO  - 10.2991/iceeecs-16.2016.227
ID  - Zhu2016/12
ER  -