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Discrete Dynamics in Nature and Society
Volume 2013, Article ID 108062, 12 pages
Research Article

Tourist Behavior Pattern Mining Model Based on Context

College of Computer Science & Information Engineering, Zhejiang Gongshang University, Xiasha University Town, Hangzhou 310018, China

Received 11 May 2013; Revised 15 September 2013; Accepted 20 September 2013

Academic Editor: Tinggui Chen

Copyright © 2013 Dong-sheng Liu and Shu-jiang Fan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Personalized travel experience and service of tourist has been a hot topic research in the tourism service supply chain. In this paper, we take the context into consideration and propose an analyzed method to the tourist based on the context: firstly, we analyze the context which influences the tourist behavior patterns, select the main context factors, and construct the tourist behavior pattern model based on it; then, we calculate the interest degree of the tourist behavior pattern and mine out the rules with high interest degree with the association rule algorithm; we can make some recommendations to the tourist with better personalized travelling experience and services. At last, we make an experiment to show the feasibility and effectiveness of our method.