摘要
随着大数据时代的到来,对海量消费者偏好特征数据进行挖掘和分析,无疑是企业制定市场营销决策的有力支持。对此,本文基于大数据技术,提出了消费者特征分析系统的设计方案,基于大数据技术实现了对消费者对企业产品或服务偏好特征的采集、处理、挖掘以及分析。
With the coming of the big data era,raining and analyzing mass consumer preferences data is undoubtedly a powerful support for enterprises to make marketing decisions.Therefore,based on big data technology,this paper puts forward the design scheme of the consumer characteristic analysis system.Based on big data technology,it implements the collection,processing,mining and analysis of consumers^preferences for products and services.
作者
但小莹
程尹欣
Dan Xiaoying;Cheng Yinxin(Chengdu University of Technology,Chengdu Sichuan,610000;Nanchang University of Aeronautics and aviation,Nanchang Jiangxi,330000)
出处
《电子测试》
2018年第4期95-96,共2页
Electronic Test
关键词
大数据
消费者偏好特征
系统设计
large data
consumer preference characteristics
system design