摘要
基于海量用户信息空间分析出用户的个性化需求,有针对性的服务推送难度越来越大。针对这种情况,提出了一种智能化信息服务系统,通过用户建模技术对用户的个性化信息需求进行描述,并根据用户模型推送有针对性信息的定制服务。首先,建立客户画像的维度并利用画像数据进行数据挖掘,采用关联分析算法对移动客户感兴趣的网络内容进行统计计算,找出移动客户访问网络内容的潜在规律,然后,根据软件工程思想,对系统进行了详细的模块设计,主要对系统的数据挖掘模块及关联分析算法进行了实现,最后,完成了整个系统的部署和测试。实验结果证明,基于中国移动用户数据的分析推送平台,为用户提供更加精准的个性化信息推送服务,适应移动互联网信息服务的发展趋势。
The individual needs of users are get by analysis of the massive user information space, and targeted services are more and more difficult to push. In view of this situation, this paper puts forward a kind of intelligent information service system, which can describe the personalized information needs of users by the technology of user modeling and push information of customization ser-vice according to the user model. Customer portrait dimensions is first established and image data are used for data mining. Then make statistical calculation of network content which the customers are interested in by correlation analysis algorithm, and find out potential rules of the web contents which mobile customers visit. Then according to the thought of software engineering, the system module is designed in detail, and the data mining module and association analysis algorithm is implemented mainly. Finally it com-pleted the whole system deployment and testing. The experimental results show that the push platform based on analysis of China Mobile user data provides more accurate and personalized information push service for the user, and it adapts to the development trend of mobile Internet information services.
出处
《微型电脑应用》
2015年第3期18-21,共4页
Microcomputer Applications
关键词
推荐系统
用户模型
数据挖掘
关联分析
Recommendation System
User Model
Data Mining
Association Analysis
