The Study on Network Information Filtering Model

摘要：

Information filtering technology is a hot research. In this paper we analyze three information filtering models, namely Boolean logical model vector space model and latent semantic indexing model, also point out their defects. We, thereafter, put forward an information filtering model based on fuzzy set by introducing the fuzzy pattern recognition. At last, we do experiments to compare it with the commonly used vector space model. The result shows that the fuzzy set model is more efficient.

作者: LU Ran HUA Fan LIU Peiyu XIE Fu

作者单位: School of Information Science and Technology, Shandong Normal University, JiNan 250014, China

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 919-923

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）