Information Filtering by Adaptive User Profiles with Feature Selection

摘要：

Information filtering techniques try to relieve users from information overload by keeping a model of the users interests. We propose a new approach for constructing user profiles based on user feedback In contrast to earlier approaches, which typically represent profiles as a single weighted interest vector, we represent user profiles as a single integrated vector and a multiple interest vectors, and take feature selection into our system to reach higher performance. This flexible approach allows the profile to more accurately represent complex user interests and faster to locate for information of interest.

关键词： informorin mering adaptive user profile feature selection

作者: Ma Yuchun Li Yingyong Zhang Kun Li Zhuang

作者单位: Hainan Key Laboratory of Embedded Systems Qiongzhou University Sanya, Hainan Province 572022, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 66-69

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）