基于用户需求的旅游路线推荐方法  

Tourist route recommendation method based on user needs

作　　者：李旭 李景文 俞娜[1] LI Xu;LI Jing-wen;YU Na(College of Geomatics and Geoinformation,Guilin University of Technology,Guilin 541006,China;Guangxi Key Laboratory of Spatial Information and Geomatics,Guilin University of Technology,Guilin 541006,China)

机构地区：[1]桂林理工大学测绘地理信息学院,广西桂林541006 [2]桂林理工大学广西空间信息与测绘重点实验室,广西桂林541006

出　　处：《计算机工程与设计》2021年第5期1339-1345,共7页Computer Engineering and Design

基　　金：国家自然科学基金项目(41961063);国家文化和旅游科技创新工程基金项目(2019-011)。

摘　　要：为解决旅游路线推荐中个性化程度不高的问题,提出一种基于用户需求的旅游路线推荐方法。通过获取用户分享的景点照片与游玩时间,综合考虑景点热度、用户偏好和访问时间等用户需求,为用户推荐得分最高的景点,在此基础上建立融合时间与费用约束的旅游路线推荐模型,针对该模型设计内嵌混沌扰动和方差判定准则的模拟退火求解算法。实验结果表明,该方法满足了不同用户的旅行需求,提高了旅游景点推荐的准确性,为实现旅游路线个性化推荐服务提供了一种技术和方法。To solve the problem of the low degree of personalization in the recommendation of travel routes,a method of travel route recommendation based on user needs was proposed.The photos of scenic spots and play time shared by users were obtained,user needs such as popularity of attractions,user preferences and access time were comprehensively considered,and the highest-scoring attractions for users were recommended.On this basis,a tourism route recommendation model integrating time and cost constraints was established,and for the model,a simulated annealing algorithm with embedded chaotic disturbance and variance criterion was designed.Experimental results show that the proposed method meets the travel needs of different users,improves the accuracy of tourist attractions recommendation,and provides technologies and methods for realizing perso-nalized recommendation services for tourist routes.

关 键 词：用户需求 景点评分方法 旅游路线推荐模型 模拟退火算法 景点流行度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]