LBS用户签到行为相似性匹配

LBS User's Checking Behavior Similarity Matching

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.