DocumentCode :
3335270
Title :
The research of network information filtering model based on genetic algorithm
Author :
Liu, Yuguo ; Zhu, Zhenfang ; Lina, Zhao
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Ji´´Nan, China
Volume :
1
fYear :
2009
fDate :
14-16 Aug. 2009
Firstpage :
928
Lastpage :
932
Abstract :
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.
Keywords :
Boolean functions; Internet; genetic algorithms; indexing; information filtering; Boolean logical model; Internet; genetic algorithm; latent semantic indexing model; network information filtering model; vector space model; Biological system modeling; Evolution (biology); Filtering algorithms; Genetic algorithms; Indexing; Information filtering; Information filters; Information retrieval; Internet; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-3928-7
Electronic_ISBN :
978-1-4244-3930-0
Type :
conf
DOI :
10.1109/ITIME.2009.5236208
Filename :
5236208
Link To Document :
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