摘要
为了充分利用运营商的大数据资源给内容产品用户推荐个性化内容,设计了一种基于运营商大数据的内容个性化推荐模型。模型基于偏好分析以及双层关联规则为用户推荐内容,不仅利用了产品运营数据,而且充分利用了通信网Gn口的DPI解析数据,提高了产品运营效率以及个性化推荐的效果。
In order to make full use of the big data resources of the operator to recommend personalized contents for content product users,this paper designs a content personalized recommendation model based on the big data of the operator. This model recommends contents for users on basis of the preference analysis and the double correlation rule,which not only utilizes the product operation data,but also makes full use of the DPI parsed data at the Gn entry of the communication net,thus it improves the product operation efficiency and the personalized recommendation effect.
出处
《信息技术》
2017年第3期147-150,共4页
Information Technology
关键词
大数据
个性化推荐
偏好分析
双层关联规则
big data
personalized recommendation
preference analysis
double correlation rule
