Personalized Tag Recommendation Based on User Preference and Content

摘要：

With the widely use of collaborative tagging system nowadays, users could tag their favorite resources with free keywords. Tag recommendation technology is developed to help users in the process of tagging. However, most of the tag recommendation methods are merely based on the content of tagged resource. In this paper, it is argued that tags depend not only on the content of resource, but also on user preference. As such, a hybrid personalized tag recommendation method based on user preference and content is proposed. The experiment results show that the proposed method has advantages over traditional content-based methods.

关键词： Tag Recommendation Collaborative Tagging Web2.0

作者: Zhaoxin Shu Li Yu Xiaoping Yang

作者单位: School of Information, Renmin University of China, Beijing 100872, P.R. China

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 348-355

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）