摘要
移动互联网时代,网络信息的优化处理需求突出。论述了酒店信息特点及其预处理方法。在正常状态以及屏幕滑动2种情况下,构建了基于改进的K-means酒店信息聚类算法。实验结果表明,改进的K-means聚类算法能够优化移动平台下酒店预订信息处理过程,其数据运算效率和用户体验有显著提升。
This paper elaborated on the characteristics of hotel information and its pretreatment method.It constructed an improved K-means clustering algorithm of hotel reservations in both cases of the normal state and the sliding screen.Experimental results showed that the algorithm can optimize the hotel reservation information processing,and improve consumer experience and the efficiency of data operation.
出处
《淮海工学院学报(自然科学版)》
CAS
2014年第4期22-25,共4页
Journal of Huaihai Institute of Technology:Natural Sciences Edition