DocumentCode :
476821
Title :
Optimization of e-business social network mapping using genetic algorithm
Author :
Ibrahim, Siti Nurkhadijah Aishah ; Selamat, Ali ; Selamat, Md Hafiz
Author_Institution :
Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai
Volume :
3
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
1
Lastpage :
7
Abstract :
In this paper, we present the optimization of e-business social network visualization using genetic algorithm (GA). Basically, it is important to visualize the map of the Internet searching because it helps user to better understand how and why they interact with each other. It is also helps them to search information in a very fast way and more related to their searched. Furthermore, the result returns by the conventional search engine sometimes are not relevant to the user search. Here, we proposed the query optimization search system based on genetic algorithm (GA) to solve this problem and visualize the connection between them. Experiment results demonstrate that it is very effective to improve the search of the relevant Web pages using the genetic algorithm.
Keywords :
Internet; electronic commerce; genetic algorithms; query processing; search engines; social networking (online); Internet search; Web pages; e-business social network mapping; genetic algorithm; query optimization search system; search engine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
Type :
conf
DOI :
10.1109/ITSIM.2008.4632056
Filename :
4632056
Link To Document :
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