International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 66 - Issue 4 |
Published: March 2013 |
Authors: Chain Singh, Ashish Kr. Luhach, Amitesh Kumar |
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Chain Singh, Ashish Kr. Luhach, Amitesh Kumar . Improving Focused Crawling With Genetic Algorithms. International Journal of Computer Applications. 66, 4 (March 2013), 40-43. DOI=10.5120/11075-5996
@article{ 10.5120/11075-5996, author = { Chain Singh,Ashish Kr. Luhach,Amitesh Kumar }, title = { Improving Focused Crawling With Genetic Algorithms }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 66 }, number = { 4 }, pages = { 40-43 }, doi = { 10.5120/11075-5996 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A Chain Singh %A Ashish Kr. Luhach %A Amitesh Kumar %T Improving Focused Crawling With Genetic Algorithms%T %J International Journal of Computer Applications %V 66 %N 4 %P 40-43 %R 10.5120/11075-5996 %I Foundation of Computer Science (FCS), NY, USA
The Web, containing a large amount of useful information and resources, is expanding rapidly. Web crawlers are one of the most crucial components in search engines and their optimization would have a great effect on improving the searching efficiency. Focused Crawlers can selectively retrieve Web documents relevant to a specific domain to build collections for domain-specific search engines. In this paper, we use a genetic algorithm with focused crawling for improving its crawling performance. Expands initial keywords by using a genetic algorithm for focused crawling. The results showed that our approach could build domain-specific collections with higher quality than traditional focused crawling techniques.