The Research of Network Information Filtering Model Based on Genetic Algorithm

摘要：

The technology of information filtering is the hotspot in current study. This paper analyses three models of information filtering: Boolean logical model vector space model latent semantic indexing model, and points out their defects.In order to purify the information of the Internet, this article introduces the genetic algorithm to the network information filtering system and establishes the network information filtering model based on genetic algorithm. At last it compares the network information filtering model based on genetic algorithm with the three commonly used models. Through the result of the experiments, it is easy to see that the information filtering model based on genetic algorithm is a predominant model.

作者: LIU Yuguo ZHU Zhenfang Zhao Lina

作者单位: School of Computer Science and Technology, Shandong University, JiNan 250014, China Shandong Public 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: 928-932

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）