Ibrahim, Siti Nurkhadijah Aishah and Selamat, Ali and Selamat, Mohd. Hafiz (2009) UTMCrawler : crawling the E-business social network using genetic algorithm for relevant document searching. In: South East Asian Technical Universities Consortium(SEATUC) - 3rd SEATUC Symposium Proceeding, 25th - 26th February 2009, Johor Bahru, Malaysia.
- Published Version
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 retrieve the massive online social network information with the exploded information accessible in the web? In this paper, we have designed the internet agent! crawler based genetic algorithm to retrieve the e-business web pages from the lelong.com.my, the Malaysia online auction website. We used genetic operation in order to retrieve the information connected between the users by expanding the keywords. Our result shows that the genetic algorithm can be a promising technique in terms of accuracy of the retrieval results.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||ISSN : 1882-5796; Hybrid Twinning Program 2008|
|Uncontrolled Keywords:||social network, e-business, genetic algorithm, document searching|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Computer Science and Information System (Formerly known)|
|Deposited By:||Ms Zalinda Shuratman|
|Deposited On:||02 Jun 2011 09:49|
|Last Modified:||02 Jun 2011 09:49|
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