DocumentCode
3234220
Title
The research of PSO algorithm in web information filtering
Author
Cheng, Xiaorong ; Wang, Dong ; Xie, Kun
Author_Institution
Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Baoding, China
fYear
2009
fDate
25-28 July 2009
Firstpage
1288
Lastpage
1291
Abstract
With the development of information technology and the popularization of the Internet, the amount of information based on the network has raised rapidly, and the emergence and development of network information filtering provide a better choice for people to access to the information quickly, accurately and completely. In this paper, the introduction of PSO uses its simple and efficient to establish accurate user model. It takes the access and update of profile as a process of learning, adjusted, learning again. Model is updated under considering inertia weight, parameters and other factors. Then doing some experiments test it.
Keywords
Internet; information filtering; particle swarm optimisation; Internet; Web information filtering; inertia weight; information technology; particle swarm optimisation; Birds; Computer science; Contamination; Filtering algorithms; IP networks; Information filtering; Information filters; Information retrieval; Information technology; Iterative algorithms; PSO algorithm; icnformation filtering; inertia weight;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location
Nanning
Print_ISBN
978-1-4244-3520-3
Electronic_ISBN
978-1-4244-3521-0
Type
conf
DOI
10.1109/ICCSE.2009.5228412
Filename
5228412
Link To Document