Link spam detection based on mass estimation (2006)
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| Venue: | In Proceedings of the 32nd International Conference on Very Large Databases. ACM |
| Citations: | 21 - 2 self |
BibTeX
@INPROCEEDINGS{Gyongyi06linkspam,
author = {Zoltan Gyongyi and Hector Garcia-molina},
title = {Link spam detection based on mass estimation},
booktitle = {In Proceedings of the 32nd International Conference on Very Large Databases. ACM},
year = {2006},
pages = {439--450}
}
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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. 1.
