节点文献
基于RSS信息服务的自适应用户兴趣模型研究
Research of adaptive user interest model based on RSS information services
【Author】 Zhang Yan Zhang Yong (College of Information Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
【机构】 南京航空航天大学信息科学与技术学院;
【摘要】 随着Internet的迅速发展,用户建模技术已经成为个性化服务的基础和核心。本文基于RSS信息服务,提出了自适应用户兴趣模型的建立和更新机制,采用混合模型来表示用户兴趣,根据用户的显式反馈和隐式反馈,使用Rocchio单次反馈和多次反馈相结合的方法追踪用户兴趣的概念漂移,自适应用户兴趣的变化。本文还实现了一个RSS新闻过滤系统,通过实验对提出的用户建模技术的有效性进行了验证。
【Abstract】 With the rapid development of Internet,the user modeling technology has become the basis and core of the individuation services today.In this paper,an approach of building and updating the adaptive user interest profile is proposed based on the RSS informatioin services.The mixed model is used to show the user interest and the one - time and times Rocchio feedback are combined to trace the concept drift of user interest by the explicit and implicit feedback of users.An RSS news filtering system has been implemented to prove the validity of the user modeling technology proposed in this paper.
【Key words】 RSS information services; Update; Mixed model; Rocchio; Concept drift;
- 【会议录名称】 第七届中国通信学会学术年会论文集
- 【会议名称】“未来的信息通信网络”——第七届中国通信学会学术年会
- 【会议时间】2010-10-14
- 【会议地点】中国广西南宁
- 【分类号】TP393.09
- 【主办单位】中国通信学会、广西壮族自治区通信管理局