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» Learning to rank on graphs
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WWW
2010
ACM
15 years 6 months ago
Classification-enhanced ranking
Many have speculated that classifying web pages can improve a search engine's ranking of results. Intuitively results should be more relevant when they match the class of a q...
Paul N. Bennett, Krysta Marie Svore, Susan T. Duma...
COLT
2007
Springer
16 years 12 days ago
Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking
We describe and analyze a new approach for feature ranking in the presence of categorical features with a large number of possible values. It is shown that popular ranking criteria...
Sivan Sabato, Shai Shalev-Shwartz
WWW
2005
ACM
16 years 7 months ago
Identifying link farm spam pages
With the increasing importance of search in guiding today's web traffic, more and more effort has been spent to create search engine spam. Since link analysis is one of the m...
Baoning Wu, Brian D. Davison
WWW
2004
ACM
16 years 7 months ago
The effect of the back button in a random walk: application for pagerank
Theoretical analysis of the Web graph is often used to improve the efficiency of search engines. The PageRank algorithm, proposed by [5], is used by the Google search engine [4] t...
Fabien Mathieu, Mohamed Bouklit
AINA
2008
IEEE
15 years 8 months ago
Formalization of Link Farm Structure Using Graph Grammar
A link farm is a set of web pages constructed to mislead the importance of target pages in search engine results by boosting their link-based ranking scores. In this paper, we int...
Kiattikun Chobtham, Athasit Surarerks, Arnon Rungs...