摘要
针对网络运营商所关心的用户行为分析问题,探讨如何对网络用户的行为进行分析,提出了一种用户行为分析分类的模型。首先根据关键字的关联性进行聚类分析,通过关键字被用户检索或浏览的次数对用户进行分类,然后在此基础上提出了加速算法和半衰期的概念,全面地阐述和分析了用户行为分析的总体框架。
In this paper, the problems of user behavior analysis of network operators and how to analyze the behavior of network users are discussed, and a model of user behavior analysis and classification is put forward. The cluster analysis is performed according to the correlation of the key words, users are classified by the number of the keyword searched or browsed by the user,and then the concepts of acceleration algorithm and half-life are put forward to comprehensively expound and analyze the general framework of user behavior analysis.
出处
《计算机时代》
2016年第2期46-48,共3页
Computer Era
关键词
用户行为分析
聚类算法
关联性
加速算法
user behavior analysis
clustering algorithm
correlation
acceleration algorithm
