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Tourist Behavior Pattern Mining Model Based on Context

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  • Dong-sheng Liu
  • Shu-jiang Fan

Abstract

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.

Suggested Citation

  • Dong-sheng Liu & Shu-jiang Fan, 2013. "Tourist Behavior Pattern Mining Model Based on Context," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-12, November.
    • Handle: RePEc:hin:jnddns:108062
    DOI: 10.1155/2013/108062
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    References listed on IDEAS

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    1. Kim, Samuel Seongseop & Timothy, Dallen J. & Hwang, Jinsoo, 2011. "Understanding Japanese tourists’ shopping preferences using the Decision Tree Analysis method," Tourism Management, Elsevier, vol. 32(3), pages 544-554.
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