摘要
针对近几年国内旅游出行人数和在线旅行网站旅游线路快速增长的背景,游客在选择最优出行线路上遇到困难这一问题,设计了基于云计算的旅游比价决策系统,本系统可通过分布式网络爬虫技术,整合现有旅游网站上的旅游线路信息,为用户提供一个旅游线路的集中查询和比较平台,最终目的是为用户规划最优的旅游出行路线,避免了用户在不同网站之间自己去选择出游线路的繁琐,为用户提供便利。系统主要运用了网络爬虫技术,Spring mvc技术,分词技术,Java swing技术,决策模型,系统使用MySQL云数据库和MongoDB。
In response to the rapid growth of the number of domestic travellers and online travel websites in recent years,tourists have encountered difficulties in choosing the best travel routes.A cloud computing-based travel price comparison decision-making system is designed.This system can integrate the travel route information on the existing travel websites through the distributed web crawler technology,and provides users with a centralized query and comparison platform for travel routes.The ultimate goal is to plan the best travel routes for users so that users don’t need to choose travel routes from different websites by themselves,which provides convenience for users.The system mainly uses web crawler technology,Spring mvc technology,word segmentation technology,Java swing technology,decision model,and the system uses MySQL cloud database and MongoDB.
作者
崔阳
CUI Yang(Taiyuan Aviation Instrument Co.,Ltd.,Taiyuan 030006,China)
出处
《价值工程》
2021年第16期203-205,共3页
Value Engineering
关键词
网络爬虫
云计算
旅游线路比价
决策系统
web crawler
cloud computing
price comparison of tourist routes
decision-making system