在线旅游社区用户行为规律的探讨

Discussion on the Regular Pattern of User Behavior in Online Tourism Community

本文通过抽样采集国内最大的在线旅游社区平台马蜂窝中的用户成员帖子数据,进行预处理并借助数据挖掘技术进行挖掘,从而获得在线旅游社区的用户潜在的行为规律,并对这些行为规律进行相关描述。基于关联规则数据挖掘的在线旅游社区用户行为规律研究结果具有一定的意义,可为在线旅游社区的运营者开展针对性的运营提供有益的参考。

In this paper,the post data of user Members in the wasp nest,the largest online tourism community platform in China,are sampled,preprocessed and mined with the help of data mining technology,so as to obtain the potential behavior laws of users in the online tourism community,and describe these behavior laws.The research results of user behavior law of online tourism community based on association rule data mining are of certain significance,which can provide useful reference for operators of online tourism community to carry out targeted operation,and play a predictive and guiding role in the management.