结合室内轨迹数据的特点,研究了室内移动对象语义轨迹序列处理方法,以及利用LDA主题模型与用户历史轨迹进行室内商场用户分类的方法。提出了通过关联规则分析挖掘用户语义位置模式的方法,并以北京某大型商场的实际用户轨迹数据为例,对所提出的方法进行了实验验证。%In this paper, combined with the characteristics of indoor track data, we analyze the processing method of indoor mobile ob-ject semantic trajectory sequence and a method to classify indoor mall users using LDA topic model and user history trajectory.On this basis, we use association rules to mine user semantic location mode, and then the proposed method is experimental verified with actual user trajectory data of a Beijing shopping mall.
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