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- 2019
旅游路线规划研究综述Keywords: 旅游路线规划, 位置服务, 轨迹挖掘, 个性化推荐, 上下文感知, 定向问题, 用户生成数据, 全域旅游tourism route planning, location-based service, trajectory mining, personalized recommendation, context-aware, orientation problem, user-generated data, all-for-one tourism Abstract: 旅游业的快速发展和用户分享内容的激增使得旅游领域的信息过载问题日益突出,如何帮助游客在快速制定个性化游览路线的同时提升旅行体验,成为当前旅游路线规划问题研究的关键。首先,给出旅游路线规划问题的形式化定义;然后,将文献中的旅游路线规划求解方法分为基于精确数学建模的求解、基于用户生成内容的求解两大类,对各类方法的关键技术和存在的主要问题进行了较为详细的考察;最后,给出一个旅游路线规划系统整体架构,对其中存在的重点和难点问题进行了分析,为旅游路线规划问题的研究提供理论支持的同时指明了下一步的研究方向。With the rapid development of tourism and surge in user sharing, information overload in tourism has become an increasing problem. Currently, the key issue in tourism route planning is how to help tourists to develop personalized travel routes and enhance their travel experiences. In this paper, we first provide a formal definition of the tourism route planning problem.. Then, we sort the methods used to solve this problem into two categories, i.e., those based on exact mathematical modeling and those based on user-generated content. We then present a detailed survey of the key technologies and difficulties of these methods. Lastly, we propose an overall framework for the tourism route planning system, analyze the key difficulties of the system, provide theoretical support for the study of tourism route planning, and suggest a future research direction
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