Network Security White Papers
Robust PageRank and Locally Computable Spam Detection Features
Overview Since the link structure of the web is an important element in ranking systems on search engines, web spammers widely use the link structure of the web to increase the rank of their pages. Various link-based features of web pages have been introduced and have proven effective at identifying link spam. One particularly successful family of features is based on examining the sets of pages that contribute most to the PageRank of a given vertex, called supporting sets. In a recent paper, the current authors described an algorithm for efficiently computing, for a single specified vertex, an approximation of its supporting sets. In this paper, they describe several link-based spam-detection features, both supervised and unsupervised, that can be derived from these approximate supporting sets.
| Publisher | Association for Computing Machinery | File Format | |
|---|---|---|---|
| Date Published | April 2008 | ||
| Format | White Papers | ||
| Topics | |||
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