UTMCrawler : crawling the E-business social network using genetic algorithm for relevant document searching

• Main Authors: Ibrahim, Siti Nurkhadijah Aishah, Selamat, Ali, Selamat, Mohd. Hafiz
• 格式: Conference or Workshop Item
• 语言: English
• 出版: 2009
• 主题: QA75 Electronic computers. Computer science
• 在线阅读: http://eprints.utm.my/id/eprint/12466/1/SitiNurkhadijahAishah2008_CrawlingtheEBusinessSocialNetwork.pdf; http://eprints.utm.my/id/eprint/12466/

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...