Department of tourism it research, Kyoto College of Graduate Studies for informatics, Kyoto 606-8225, Kyoto, Japan.
Math Biosci Eng. 2021 Sep 10;18(6):7955-7964. doi: 10.3934/mbe.2021394.
With the rapid development of tourism and the Internet industry, tourism activities have increasingly become a fashion behavior of people. The role of intelligent tourism resources in tourism activities has gradually become prominent. In order to meet the needs of all kinds of users, the tourism management system services are developing in the direction of diversification and individualization, and recommending the tourism resource products that best meet the needs of users to users has become a top priority. This article aims to improve the practical value of the system through the intelligent functions of the tourism management system based on information security in the intelligent recommendation of tourism resources. The tourism management system can display the received information about tourists. Through the experimental research of the accompanying information security algorithm and the analysis of the recommendation of the tourism system, the intelligent functions of the tourism management system based on information security can be captured in the intelligent recommendation of tourism resources. Develop the tourism management system to solve efficiency problems and realize tourism management information. Experimental results show that based on information security, 80% of tourists have become a popular choice for smart recommendation countries, which will bring more convenience to tourists during the game.
随着旅游业和互联网行业的快速发展,旅游活动日益成为人们的一种时尚行为。智能旅游资源在旅游活动中的作用逐渐凸显。为了满足各类用户的需求,旅游管理系统服务正朝着多元化和个性化的方向发展,向用户推荐最符合其需求的旅游资源产品成为当务之急。本文旨在通过基于信息安全的旅游管理系统智能功能,提高系统的实际应用价值,实现旅游资源的智能推荐。旅游管理系统可以显示接收到的游客信息。通过对随行信息安全算法的实验研究和对旅游系统推荐的分析,可以捕捉到基于信息安全的旅游管理系统的智能功能,从而开发旅游管理系统来解决效率问题,实现旅游管理信息。实验结果表明,基于信息安全,80%的游客成为智能推荐国家的热门选择,这将在游戏过程中为游客带来更多便利。