Gyongyi, Zoltan and Berkhin, Pavel and Garcia-Molina, Hector and Pedersen, Jan (2006) Link Spam Detection Based on Mass Estimation. In: 32nd International Conference on Very Large Data Bases (VLDB 2006), September 12-15, 2006, Seoul, Korea.
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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.
| Item Type: | Conference or Workshop Item (Paper) | |
|---|---|---|
| Uncontrolled Keywords: | web search; link spam | |
| Subjects: | Computer Science > Databases and the Web | |
| Projects: | Miscellaneous | |
| Related URLs: | Project Homepage | http://infolab.stanford.edu/ |
| ID Code: | 854 | |
| Deposited By: | Import Account | |
| Deposited On: | 06 Nov 2006 16:00 | |
| Last Modified: | 18 Dec 2008 14:44 |
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- Link Spam Detection Based on Mass Estimation. (deposited 02 Nov 2005 16:00)
- Link Spam Detection Based on Mass Estimation. (deposited 06 Nov 2006 16:00) [Currently Displayed]
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