Tourist Behavior Pattern Mining Model Based on Context

Dong-sheng Liu and Shu-jiang Fan

Discrete Dynamics in Nature and Society, 2013, vol. 2013, 1-12

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:108062

DOI: 10.1155/2013/108062

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