Research of Reading Content Recommendation Based on Behavior Mining

摘要：

It is more and more difficult to find proper information for people in modern knowledge explosion society. Information recommendation systems can reduce information overload and provide appropriate content to targeted user.This paper proposes a new personalized recommendation technique based on mining the user s reading behavio _ through 5W1H scheme.By comparing the user profile and the information representation,we can recommend the customized content in suitable time to satisfy the user s personalized requirement.For performance evaluation,we implement the service to make experiments on real information and people.The results show that our technology and approach can acquire the user s reading requirement,and recommend suitable information they really need.

作者: Qing-Cheng Li Zhen-Hua Dong Shan Lin Jia-Xin Liu

作者单位: Department of Information Technical Science,Nankai University,Tianjin,300072,China Department of Software,Nankai University,Tianjin,300072,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 1717-1722

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）