Link analysis for Web spam detection

  title={Link analysis for Web spam detection},
  author={Luca Becchetti and Carlos Castillo and Debora Donato and Ricardo A. Baeza-Yates and Stefano Leonardi},
We propose link-based techniques for automatic detection of Web spam, a term referring to pages which use deceptive techniques to obtain undeservedly high scores in search engines. The use of Web spam is widespread and difficult to solve, mostly due to the large size of the Web which means that, in practice, many algorithms are infeasible. We perform a statistical analysis of a large collection of Web pages. In particular, we compute statistics of the links in the vicinity of every Web page… CONTINUE READING
Highly Cited
This paper has 112 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 72 extracted citations

Link-based web spam detection using weight properties

Journal of Intelligent Information Systems • 2014
View 4 Excerpts
Highly Influenced

M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings

2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA) • 2017
View 1 Excerpt

113 Citations

Citations per Year
Semantic Scholar estimates that this publication has 113 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…