UTMCrawler : crawling the E-business social network using genetic algorithm for relevant document searching
The increasing of online social network in the Internet has caused the explosion of search results from the search engines. According to the Google search engine statistics, until 2008 almost 1 trillion web pages have been indexing including the online social network website. Thus, how can we retrie...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2009
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/12466/1/SitiNurkhadijahAishah2008_CrawlingtheEBusinessSocialNetwork.pdf http://eprints.utm.my/id/eprint/12466/ |
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