Abstract: In order to effectively guide the reasonable distribution of passenger flow, increase the revenue of railway ticket, this paper optimized and improved the passenger characteristics by means of social network feature communication, based on the railway passenger transport user portrait system. Used the clustering algorithm to classify the user groups, segmented the passenger market. It provided the basis for precision marketing for different groups in the later marketing activities, and implemented the differentiated services of railway marketing.