NDLI: Multi-level Link Structure Analysis Technqiue for Detecting Link Farm Spam Pages

Content Provider	IEEE Xplore Digital Library
Author	Tan Su Tung Yahaya, N.A. Mustapha, S.M.F.D.S.
Copyright Year	2006
Description	Author affiliation: Malaysia Univ. of Sci. & Technol. (Tan Su Tung; Yahaya, N.A.)
Abstract	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
Sponsorship	IEEE Comput. Soc. WIC ACM
Starting Page	614
Ending Page	617
File Size	179676
Page Count	4
File Format	PDF
ISBN	0769527493
DOI	10.1109/WI-IATW.2006.95
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Degradation Programmable control Change detection algorithms Unsolicited electronic mail Web pages Clustering algorithms Telecommunication traffic Search engines Intelligent agent
Content Type	Text
Resource Type	Article

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