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Published Articles >> Table of Contents >> Abstract
2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
pp. 614-617
Multi-level Link Structure Analysis Technqiue for Detecting Link Farm Spam Pages
Tan Su Tung, Malaysia University of Science and Technology, Malaysia
Nor Adnan Yahaya, Malaysia University of Science and Technology, Malaysia
S.M.F.D. Syed Mustapha, British Telecom plc (Asian Research Centre)
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI-IATW.2006.95
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| Abstract |
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Link based ranking algorithms have been adopted by
most search engines in ranking the importance of web
pages. As a majority of web accesses are through the use
of search engines, web spammers have taken advantage
of the vulnerability of link based ranking algorithms by
creating many artificial references or links in order to
acquire higher-than-deserved ranking in search engines’
results which will generate higher traffic to their websites.
Link farm spam refers to the technique used to create a
network of heavy linked web pages for this purpose. In
this paper, an algorithm using Multi-level Link Structure
Analysis technique is proposed for detecting link farm
spam pages. This algorithm is an enhancement to Seed
and Parental Penalty algorithms proposed by Wu and
Davison, 2005.
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 Additional Information
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Citation:
Tan Su Tung, Nor Adnan Yahaya, S.M.F.D. Syed Mustapha,
"Multi-level Link Structure Analysis Technqiue for Detecting Link Farm Spam Pages,"
wi-iatw,
pp. 614-617,
2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops,
2006
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