Tourist Behavior Pattern Mining Model Based on Context

Abstract EN

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.