Ponencia
Spam detection with a content-based random-walk algorithm
Autor/es | Ortega Rodríguez, Francisco Javier
MacDonald, Craig Troyano Jiménez, José Antonio Cruz Mata, Fermín |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2010 |
Fecha de depósito | 2020-08-05 |
Publicado en |
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ISBN/ISSN | 978-1-4503-0386-6 |
Resumen | In this work we tackle the problem of the spam detection on the
Web. Spam web pages have become a problem for Web search
engines, due to the negative effects that this phe-nomenon can
cause in their retrieval results. ... In this work we tackle the problem of the spam detection on the Web. Spam web pages have become a problem for Web search engines, due to the negative effects that this phe-nomenon can cause in their retrieval results. Our approach is based on a random-walk algorithm that obtains a ranking of pages according to their relevance and their spam likelihood. We introduce the novelty of taking into account the content of the web pages to characterize the web graph and to ob-tain an a- priori estimation of the spam likekihood of the web pages. Our graph-based algorithm computes two scores for each node in the graph. Intuitively, these values represent how bad or good (spam-like or not) is a web page, according to its textual content and the relations in the graph. Our experiments show that our proposed technique outperforms other link-based techniques for spam detection. |
Agencias financiadoras | Ministerio de Educación y Ciencia (MEC). España |
Identificador del proyecto | HUM2007-66607-C04-04 |
Cita | Ortega Rodríguez, F.J., MacDonald, C., Troyano Jiménez, J.A. y Cruz Mata, F. (2010). Spam detection with a content-based random-walk algorithm. En SMUC 2010: 2nd international workshop on Search and mining user-generated contents (45-52), Toronto, ON, Canada: ACM Digital Library. |
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