Gary na swoim blogu poinformowa� o nowym dokumencie Link Spam Detection Based on Mass Estimation dotycz�cym spamowania linakmi wyszukiwarek w celu podwy�szeniu rankingu.
Autorami s�:
Title: Link Spam Detection Based on Mass Estimation
Authors: Zoltan Gyongyi (Stanford), Pavel Berkhin (Yahoo), Hector Garcia-Molina (Stanford), Jan Pedersen (Yahoo)
Przygotowano go w Stanford InfoLab
mo�na go pobra� – tu – Link Spam Detection Based on Mass Estimation
Abstract
Link spamming intends to mislead search engines and trigger an artificially high link-based
ranking of specific target web pages. This paper introduces the concept of spam mass, a
measure of the impact of link spamming on a page’s ranking. We discuss how to estimate
spam mass and how the estimates can help identifying pages that benefit significantly
from link spamming. In our experiments on the host-level Yahoo! web graph we use spam
mass estimates to successfully identify tens of thousands of instances of heavy-weight link
spamming.
