摘要
为了促进智慧旅游建设,保证旅游系统能够为用户提供个性化服务,以秦岭北麓西安段古村镇旅游为例,基于数据挖掘技术设计一种旅游智能推荐系统。从规模、优越度与聚集度三方面挖掘该地旅游资源空间分布特征;将用户对视频、图片、文本三种类型旅游信息浏览时间的加权平均值作为兴趣度函数,确定每个古村镇的用户兴趣度;将感兴趣的景点保存到相同集合中,通过规则匹配,实现智能推荐;分别设计图形用户界面、智能分析与智能推荐服务模块,完成系统整体设计。仿真实验表明,该系统可实现旅游个性化智能推荐,提高用户满意度。
In order to promote the construction of smart tourism and ensure that the tourism system can provide personalized services,this paper takes tourism in ancient villages and towns in Xi’an section of the northern foot of the Qinling Mountains as an example,to design a smart tourism recommendation system based on data mining technology.It explores the spatial distribution characteristics of tourism resources from the three aspects of scale,superiority and agglomeration;takes the weighted average of the browsing time of the three types of tourism information of video,picture and text by users as the function of interest to determine the users’interest degree,saves the attractions of interest to the same set,and realizes intelligent recommendation through rule matching.We design the graphical user interface,intelligent analysis and intelligent recommendation service module functions separately to complete the overall system.Simulation experiments show that the system can realize personalized intelligent recommendation for tourism and improve user satisfaction.
作者
刘雪婷
LIU Xueting(College of Accounting and Finance,Xi’an Peihua University,Xi’an 710038,China)
出处
《微型电脑应用》
2023年第3期8-11,共4页
Microcomputer Applications
基金
陕西省教育厅2021年度一般专项科研计划项目(21JK0272)。
关键词
数据挖掘
古村镇旅游
智能推荐系统
最小支持度
data mining
ancient village tourism
intelligent recommendation system
minimum support
