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Search Spam Identification Using Support Vector Machine
I. S. Sozinova, A. S. Romanov, R. V. Meshcheriakov Tomsk State University of Control Systems and Radioelectronics
Abstract:
The paper deals with the classification of web spam. It is marked out the characteristics of web pages context, which are different for a spam and not a spam. It is offered to use the method of support vector machines to figure out whether the web page is the spam. The results of the experiments are given here.
Keywords:
Search Spam; Search Query; Support Vector Machine.
Citation:
I. S. Sozinova, A. S. Romanov, R. V. Meshcheriakov, “Search Spam Identification Using Support Vector Machine”, Tr. SPIIRAN, 36 (2014), 78–91
Linking options:
https://www.mathnet.ru/eng/trspy750 https://www.mathnet.ru/eng/trspy/v36/p78
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Statistics & downloads: |
Abstract page: | 177 | Full-text PDF : | 113 |
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