计算机应用与软件2018，Vol.35Issue(3)：8-14,7.DOI:10.3969/j.issn.1000-386x.2018.03.002
一种用户画像系统的设计与实现
DESIGN AND IMPLEMENTATION OF USER PROFILE SYSTEM
摘要
Abstract
The user profile system constructed complete data set of users browsing behaviour by combing user browsing log and crawling data.The data set is cleaned,normalized,analysed,and processed by data analysis algorithm and a big data platform based on Hadoop distributed cluster to get interests of users and mark labels of different weights for users, which enables enterprises to understand users and paves the way of precise recommendation for users.In addition,the defect of K-means algorithm relying on the initialization centre is improved, and the improved K-means algorithm has higher accuracy.关键词
用户行为分析/基于Hadoop的大数据分析平台/用户画像系统/用户价值模型/K-meansKey words
User behaviour analysis/Big data analysis platform based on Hadoop/User profile system/User busi-ness values model/K-means分类
信息技术与安全科学引用本文复制引用
王洋,丁志刚,郑树泉,齐文秀..一种用户画像系统的设计与实现[J].计算机应用与软件,2018,35(3):8-14,7.基金项目
上海大数据科技成果转化平台(16DZ1110101). （16DZ1110101）
