基于Apriori算法的大学生选择旅游景点的研究分析
Research and Analysis of College Students’ Selection of Tourist Attractions Based on Apriori Algorithm

大学生作为旅游行业消费群体的主力军，其对旅游景点的选择极大地影响着旅游业的发展。本文基于Apriori算法，对近几年大学生对旅游景点特征组合选择的关键因素进行了研究。文章首先使用因子分析法提取了五个主要因素，其次将处理后的数据通过Apriori算法提取关联特征，然后使用层次分析法寻找权重占比较高的因素。根据实验得出的重要因素，最终找到影响大学生选择旅游景点的三个主要因素为民俗、物价和曝光度。
As the main force of consumer groups in the tourism industry, college students’ choice of tourist attractions greatly affects the development of tourism. Based on Apriori algorithm, this paper researches the key factors of college students’ choice of feature combinations for tourist attractions in recent years. The article firstly extracted five main factors using factor analysis, secondly extracted the associated features from the processed data by Apriori algorithm, and then used hierarchical analysis to find the factors with higher weight share. According to the important factors derived from the experiment, the three main factors affecting college students’ choice of tourist attractions were finally found to be folklore, price and exposure.