Classifying Web Spam Using Block-based TrustRank

@inproceedings{Sree2012ClassifyingWS,
  title={Classifying Web Spam Using Block-based TrustRank},
  author={M. Subha Sree},
  year={2012}
}
Web spamming refers to actions intended to mislead search engines into ranking some pages higher than they deserve. TrustRank is a recent algorithm that can combat web spam. However, the seed set used by TrustRank may not be sufficiently representative to cover well the different topics on the Web. In this paper, We propose the use of Combined page segmentation for selecting seed set in TrustRank algorithm and uses Block-level retrieval to rank the seed pages so that we can use highly multiple… CONTINUE READING

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