Gyongyi, Zoltan and Berkhin, Pavel and Garcia-Molina, Hector and Pedersen, Jan (2005) Link Spam Detection Based on Mass Estimation. Technical Report. Stanford.
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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: | Techreport (Technical Report) |
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| Uncontrolled Keywords: | web search; link spam detection |
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| Subjects: | Computer Science > Databases and the Web |
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| Projects: | Miscellaneous |
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| Related URLs: | Project Homepage | http://infolab.stanford.edu/ |
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| ID Code: | 697 |
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| Deposited By: | Import Account |
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| Deposited On: | 02 Nov 2005 16:00 |
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| Last Modified: | 22 Dec 2008 18:00 |
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