标题:A dynamic filtering recommendation algorithm based on topic
作者:An, Xinjun ;Su, Na
通讯作者:An, X
作者机构:[An, Xinjun ;Su, Na ] Department of Information Engineering, ShanDong University of Science and Technology, Tai'an, ShanDong, China
会议名称:2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011
会议日期:August 12, 2011 - August 14, 2011
来源:Proceedings of 2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011
出版年:2011
卷:8
页码:3959-3962
DOI:10.1109/EMEIT.2011.6023888
摘要:Collaborative filtering is one of the most successful and widely used recommendation technology in E-commerce recommendation systems. However, existing collaborative filtering algorithms face severe challenge of sparse user ratings and real-time recommendation. To solve the problems, a collaborative filtering recommendation algorithm based on topic is proposed. It divides the raw rating matrix into many sub-matrixes based on topic and forms clusters parallelly to reduce the data sparsity. Time-based data weight and acceleration-based data weight are proposed to dynamically reflect the change of user interests. The experimental results show that the novel algorithm can efficiently improve recommendation quality. © 2011 IEEE.
收录类别:EI
资源类型:会议论文
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