RESEARCH OF INFORMATION RECOMMENDATION SYSTEM BASED ON READING BEHAVIOR

摘要：

In modern knowledge explosion society, Humans ability to find the information they desire grows more slowly than the rate at which the new information becomes available. Recommendation system can reduce information overload and provide appropriate content to targeted user. This paper proposes a new recommending technique based on mining the users reading behavior, computing the user profile through SW1H scheme. By comparing the user profile and the information representation, we can provide the customized content in suitable time to satisfy the users personalized requirement. For performance evaluation, we implement the technology to make experiments on real information and people. The results show that our technology and approach can acquire the users requirement, and recommend suitable information they really need.

关键词： Recommend system SW1H scheme User profile Behavior mining Pattern matching

作者: QING-CHENG LI ZHEN-HUA DONG TUO LI

作者单位: Department of Information Technical Science, Professor of Computer Science, NanKai University, TianJ Department of Software, NanKai University, TianJin 300071

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 1626-1631

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）