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Designing a Web Spam Classifier Based on Feature Fusion in the Layered Multi-Population Genetic Programming Framework
2013
Advances in Distributed Computing and Artificial Intelligence Journal
Nowadays, Web spam pages are a critical challenge for Web retrieval systems which have drastic influence on the performance of such systems. Although these systems try to combat the impact of spam pages on their final results list, spammers increasingly use more sophisticated techniques to increase the number of views for their intended pages in order to have more commercial success. This paper employs the recently proposed Layered Multi-population Genetic Programming model for Web spam
doi:10.14201/adcaij2014261527
doaj:c8746dcdb7a441e6b64e27014fc1e58c
fatcat:q7u4yl252zfgvc4v3gm7mho7qu