摘要
针对签到点数据不稳定,时间跨度大的特征,提出融合时空模式Housdorff距离匹配的方法来衡量LBS用户行为的相似性,通过实验比较,效果要优于传统方法.
According to the characters of instability and large time span of checking points,a time-space fusion matching method based on Housdroff distance is proposed to measure LBS user′s checking behavior similarity. Experiments show that the method has better performance than traditional methods.
出处
《石家庄学院学报》
2015年第6期44-46,共3页
Journal of Shijiazhuang University
基金
厦门市科技计划项目(3502Z20130008)