基于社会媒体的旅游数据挖掘与分析  

Social Media Based Travel Data Mining and Analysis

作　　者：高新波[1] 沈钧戈 

机构地区：[1]西安电子科技大学电子工程学院,西安710071

出　　处：《数据采集与处理》2016年第1期18-27,共10页Journal of Data Acquisition and Processing

基　　金：国家杰出青年科学基金(61125204)资助项目;中央高校基本科研业务费专项资金(BDZ021403)资助项目

摘　　要：信息技术和社会媒体的快速发展使得网上旅游数据日益庞大。随着游客对旅游需求呈现多样化和定制化趋势,旅游信息服务成为目前的研究热点。社会媒体中的社区和自媒体平台存在着海量的旅游信息资源,基于社会媒体的旅游数据挖掘可以充分利用这些资源,将其应用在智慧旅游推荐上,进而推动"互联网+旅游信息化"的快速发展。本文全面分析和讨论了目前"互联网+旅游信息化"的研究背景和发展历程,分析了目前社会媒体中的旅游数据的特点,进一步介绍了"互联网+旅游信息化"背景下的热点研究应用,最后总结了基于社会媒体旅游数据的挖掘与应用的研究难点,并且对未来可能的研究方向进行了探讨。With the rapid development of information technology and social media, The travel information increases. The people＇s travel demands and preferences are gradually diversified and customized, so tourism information service has become a hot topic among researchers. Moreover, communities and useroperated media in social media have tremendous tourism information resources which can be employed in travel information mining based on social media. Since travel information is used for smart travel applications, it promotes the fast growing of internet-hased tourism informatization. In this paper, the back-ground of internet-based tourism inforamatization is discussed. Secondly, the characteristics of travel information in social media are analyzed. Then, some hot research topics in tourism applications are presented and discussed. Finally, the challenges of social media based travel data mining and applications are summarized, and some further research directions are explored.

关 键 词：社会媒体 旅游异质信息 旅游信息挖掘 旅游信息重排序 旅游信息推荐 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]