移动通信2016，Vol.40Issue(9)：93-96,4.DOI:10.3969/j.issn.1006-1010.2016.09.018
基于喜好标签的移动互联网用户行为分类研究
Research on Mobile Internet User Behavior Classiifcation Based on Preference Tag
钟庆1
作者信息
- 1. 中国移动 深圳 有限公司，广东 深圳 518048
- 折叠
摘要
Abstract
This paper presented a method that drew the preference tag of mobile internet user based on their actual behavior data and delivered the same kind of information to them by the classification result. The method made precise delivering, so the content was more easily accepted by the user, thus the commercial value was higher. Firstly, this paper introduced extraction methods of individual user’s actual behavior data with each method’s advantages and disadvantages compared. Secondly, it proposed a ifxed centroids k-means clustering method that could implement the classiifcation of preference tag quickly and accurately. Finally, it analyzed the precision marketing model and the direction for further research.关键词
喜好标签/移动互联网/用户行为分析/文本聚类/精确营销Key words
preference tag mobile internet/user behavior analysis/text clustering/precision marketing分类
信息技术与安全科学引用本文复制引用
钟庆..基于喜好标签的移动互联网用户行为分类研究[J].移动通信,2016,40(9):93-96,4.
