Research on Precision Marketing Model of Tourism Industry Based on User’s Mobile Behavior Trajectory
Joint Authors
Zhang, Jialin
Wu, Tong
Fan, Zhipeng
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-03
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Telecommunications Engineering
Abstract EN
With the deep cross-border integration of tourism and big data, the personalized demand of tourist groups is increasingly strong.
Precision marketing has become a new marketing mode that the tourism industry needs to pay close attention to and explore.
Based on the advantages of big data platform and location-based service, starting from the precise marketing demand of tourism, we design data flow mining technology framework for user’s mobile behavior trajectory based on location services in mobile e-commerce environment to get user track data that incorporates location information, consumption information, and social information.
Data mining clustering technology is used to analyze the characteristics of users’ mobile behavior trajectories, and the precise recommendation system of tourism is constructed to provide support for tourism decision making.
It can target the tourist group for precise marketing and make tourists travel smarter.
American Psychological Association (APA)
Zhang, Jialin& Wu, Tong& Fan, Zhipeng. 2019. Research on Precision Marketing Model of Tourism Industry Based on User’s Mobile Behavior Trajectory. Mobile Information Systems،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1193855
Modern Language Association (MLA)
Zhang, Jialin…[et al.]. Research on Precision Marketing Model of Tourism Industry Based on User’s Mobile Behavior Trajectory. Mobile Information Systems No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1193855
American Medical Association (AMA)
Zhang, Jialin& Wu, Tong& Fan, Zhipeng. Research on Precision Marketing Model of Tourism Industry Based on User’s Mobile Behavior Trajectory. Mobile Information Systems. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1193855
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193855