摘要
随着中国烟草行业市场化取向改革日益深入以及计算机技术的快速发展,如何利用新技术更准确地洞察市场、了解卷烟零售客户销售特征、针对性的为零售户提供适销对路的卷烟商品成为行业内所共同关注的问题。探索一种基于大数据技术及K-means算法的卷烟零售户特征画像,并在此基础上实现对零售户订货的智能推荐。
With the proceeding of China tobacco industry market oriented reform and the development of computing technology, departments of to- bacco sales and marketing pay more and more attention to how to use new techniques to obtain accurate information of the market, under- standing the sales characteristics of tobacco retailer and provide marketable tobacco goods for the retailer. Explores a kind of tobacco re- tailer user portrait based on Big Data technology and K-means clustering algorithm, and provides the application of intelligent recommen- dation for tobacco ordering.
出处
《现代计算机》
2016年第16期11-15,共5页
Modern Computer
关键词
大数据
智能推荐
聚类
Big Data
Intelligent Recommendation
Clustering
