旅游线路推荐与优化的研究进展  

Research Progress and Optimization of Tourist Routing Recommendation

作　　者：孟小丁[1] 刘茄琳 骆鹏睿 Meng Xiaoding;Liu Jialin;Luo Pengrui(School of Physics and Electromechanical Engineering,Hexi University,Zhangye 734000,China)

机构地区：[1]河西学院物理与机电工程学院,甘肃张掖734000

出　　处：《洛阳师范学院学报》2021年第11期41-44,共4页Journal of Luoyang Normal University

基　　金：河西学院青年教师科研基金项目(QN2017012)。

摘　　要：国内外学者对旅游线路的探讨集中在旅游线路个性化推荐和旅游线路的优化设计两个方面.旅游线路推荐主要研究了游客兴趣点、线路推荐算法、旅游大数据和个性化旅游线路方法四个方面;旅游线路优化设计主要针对求解问题类型,集中研究了旅游线路问题的数学模型、算法设计和仿真计算.未来这一方面的研究会由静态的环境信息向动态的多维环境信息过渡,求解旅游线路更倾向混合智能算法.Studies at home and abroad on tourist routing usually focus their attention on the personalized routes recommendation and the optimal design of tourist routes.Recommendations on tourist routes mainly concerns tourists’interest,route recommendation algorithm,tourism big data and the method of personalized tourism routes.The optimal design of tourist routes mainly involves the mathematical model,algorithm design and simulation calculation,aiming at the types of solutions to problems.In the future,the research in this area will favour a transition from static to dynamic multi-dimensional environmental information,and the solution of tourist routes will be more inclined to use hybrid intelligent algorithm.

关 键 词：旅游服务 个性化推荐 线路优化 研究进展 

分 类 号：F592[经济管理—旅游管理]