摘要
针对云浮市特色农产品营销的现状,笔者通过Hadoop大数据处理平台对海量数据进行挖掘、统计和分析,科学地利用数据倾动与行为预测技术,精准地了解顾客需求、锁定目标顾客,有利于提供个性化、定制化的产品和服务,提高市场竞争力和收益能力,快速提升云浮特色农产品的品牌影响力,助力云浮乡村振兴战略。
In view of the current situation of marketing characteristic agricultural products in Yunfu City,the author uses Hadoop big data processing platform to mine,statistics and analyze massive data,scientifically uses data tilting and behavior prediction technology to accurately understand customer demand and target customers,which is conducive to providing personalized and customized products and services,improving market competitiveness and profitability,and rapidly improving cloud The brand influence of characteristic agricultural products helps Yunfu Rural Revitalization Strategy.
作者
宁建飞
刘降珍
Ning Jianfei;Liu Jiangzhen(Luoding Polytechnic,Luoding Guangdong 527200,China)
出处
《信息与电脑》
2020年第15期8-10,共3页
Information & Computer
基金
广东省高等教育学会高职高专云计算与大数据专业委员会科研规划纵向课题项目“大数据技术在云浮市特色农产品电商精准营销中的应用研究”(项目编号:GDYJSKT19-12)
云浮市哲学社会科学课题项目“大数据技术助力云浮乡村振兴研究”(项目编号:2020云社研[16]号)。
关键词
大数据技术
HADOOP
客户分类
精准营销
big data technology
Hadoop
customer classification
precision marketing
