Journal of the Korea Computer Industry Society (한국컴퓨터산업학회논문지)
- Volume 4 Issue 12
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- Pages.1093-1102
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- 2003
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- 1229-9650(pISSN)
Improving the quality of Search engine by using the Intelligent agent technolo
- Nauyen, Ha-Nam (Graduate school of Hankuk Hangkong University) ;
- Choi, Gyoo-Seok (Graduate School of Chungwon University) ;
- Park, Jong-Jin (Graduate School of Chungwon University) ;
- Chi, Sung-Do (Graduate school of Hankuk Hangkong University)
- Published : 2003.12.01
Abstract
The dynamic nature of the World Wide Web challenges Search engines to find relevant and recent pages. Obtaining important pages rapidly can be very useful when a crawler cannot visit the entire Web in a reasonable amount of time. In this paper we study way spiders that should visit the URLs in order to obtain more “important” pages first. We define and apply several metrics, ranking formula for improving crawling results. The comparison between our result and Breadth-first Search (BFS) method shows the efficiency of our experiment system.