通信与信息技术Issue(z1)：26-29,4.
一种基于密度的聚类算法挖掘务工返乡及商旅用户群进行营销的方法
A density-base clustering algorithm to mine user groups of migrant workers and business travelers for marketing
史伟 1陈伟1
作者信息
- 1. 中国移动通信集团四川有限公司,四川成都 610081
- 折叠
摘要
Abstract
Sichuan province is a large province of labor export,but also one of the strongest provinces with the most tourist attrac-tions,Sichuan Mobile combines this feature to realize a density-based clustering algorithm to dig out migrant workers returning home and business travel user groups for marketing methods,accurate support for the first line of the"graining",to dig out the user groups of the service expectations and the degree of match of the marketing products,is a valuable attempt to find marketing user groups for the application of the AI It is a valuable attempt of AI algorithm in the application of searching for marketing user groups.In practice,the marketing and promotion of the target user group have a higher success rate and the effect is better than that of the general user group.关键词
数据挖掘/精准营销/漫游来访Key words
Data mining/Precision marketing/Roaming visits分类
信息技术与安全科学引用本文复制引用
史伟,陈伟..一种基于密度的聚类算法挖掘务工返乡及商旅用户群进行营销的方法[J].通信与信息技术,2023,(z1):26-29,4.
