基于地理坐标和轨迹数据的路径推荐方法

发布时间：2018-04-09 03:01

  本文选题：旅游信息　切入点：地理坐标数据　出处：《通信学报》2017年05期

【摘要】：为弥补旅游相关网站旅游信息推荐的不足,以真实景区图片地理坐标数据和游览路径数据为研究基础,提出一种混合密度聚类方法识别景点热度,通过确定HITS算法预估景点吸引力,改进传统ACO算法,设计一种包含单景区内所有景点的游览路径生成算法,帮助用户检索旅游景点中优质资源并规划有效的游览路径。为评估景区热点和路线规划方法的效果,进行多种算法对比实验,结果表明所选方法具备高效性和实用性。
[Abstract]:In order to make up for the deficiency of tourism information recommendation of tourism related websites, a hybrid density clustering method is proposed to identify the heat of scenic spots based on the geographic coordinate data of real scenic spots and the data of tour paths.By determining the HITS algorithm to estimate the attraction of scenic spots and improving the traditional ACO algorithm, an algorithm is designed to generate tourist paths that include all the scenic spots in a single scenic spot, which can help users to retrieve the high quality resources in the tourist attractions and to plan the effective tour paths.In order to evaluate the effect of hot spots and route planning methods, a variety of algorithms are compared. The results show that the proposed method has high efficiency and practicability.
【作者单位】： 北京科技大学土木与资源工程学院;
【分类号】：TP311.13
，

本文编号：1724530