Link spam detection based on genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Niu:2010:ICNC,

• author = "Xiaofei Niu and Shengen Li and Xuedong Niu and Ning Yuan and Cuiling Zhu",
• title = "Link spam detection based on genetic programming",
• booktitle = "Sixth International Conference on Natural Computation (ICNC 2010)",
• year = "2010",
• month = aug,
• volume = "7",
• pages = "3359--3363",
• abstract = "Link spam refers to unfairly gaining a high ranking on search engines for a web page by means of trickily manipulating the link graph to confuse the hyper-link structure analysis algorithms. It seriously affects the quality of the search engine query results. Detecting link spam has become a big challenge for web search. This paper proposes to learn a discriminant function to detect link spam by genetic programming. In this article, the representation of individuals, the genetic operators and the fitness function are studied. The experiments on WEBSPAM-UK2006 are carried out to find the preferable parameters and evaluate the validity of genetic programming. The experimental results show that this method can improve spam classification recall by 27.5percent, F-measure by 12.1percent and accuracy by 4.6percent compared with SVM.",
• keywords = "genetic algorithms, genetic programming, WEBSPAM-UK2006, Web page, Web search, discriminant function, fitness function, hyper-link structure analysis algorithms, link graph manipulation, link spam detection, search engine query, spam classification, query processing, search engines, unsolicited e-mail",
• DOI = "doi:10.1109/ICNC.2010.5583657",
• notes = "Also known as \cite{5583657}",

}

Genetic Programming entries for Xiaofei Niu Shengen Li Xuedong Niu Ning Yuan Cuiling Zhu

Citations