Detecting nepotistic links by language model disagreement

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Detecting nepotistic links by language model disagreement

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International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents

Edinburgh, Scotland

POSTER SESSION: Browsers and UI, web engineering, hypermedia & multimedia, security, and accessibility table of contents

Pages: 939 - 940

Year of Publication: 2006

ISBN:1-59593-323-9

Authors

András A. Benczúr	Hungarian Academy of Sciences (MTA SZTAKI) and Eötvös University, Budapest
István Bíró	Hungarian Academy of Sciences (MTA SZTAKI) and Eötvös University, Budapest
Károly Csalogány	Hungarian Academy of Sciences (MTA SZTAKI) and Eötvös University, Budapest
Máté Uher	Hungarian Academy of Sciences (MTA SZTAKI) and Eötvös University, Budapest

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 2, Downloads (12 Months): 42, Citation Count: 3

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ABSTRACT

In this short note we demonstrate the applicability of hyperlink downweighting by means of language model disagreement. The method filters out hyperlinks with no relevance to the target page without the need of white and blacklists or human interaction. We fight various forms of nepotism such as common maintainers, ads, link exchanges or misused affiliate programs. Our method is tested on a 31 M page crawl of the .de domain with a manually classified 1000-page random sample.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Ricardo Baeza-Yates , Emilio Davis, Web page ranking using link attributes, Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters, May 19-21, 2004, New York, NY, USA [doi>10.1145/1013367.1013459]
	2	A. A. Benczúr, K. Csalogány, T. Sarlós, and M. Uher. SpamRank -- Fully automatic link spam detection. In Proc. 1st AIRWeb, 2005.
	3	B. D. Davison. Recognizing nepotistic links on the web. In AAAI-2000 Workshop on Artificial Intelligence for Web Search, pages 23--28, Austin, TX, 2000.
	4	Nadav Eiron , Kevin S. McCurley , John A. Tomlin, Ranking the web frontier, Proceedings of the 13th international conference on World Wide Web, May 17-20, 2004, New York, NY, USA [doi>10.1145/988672.988714]
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CITED BY 3

	Carlos Castillo , Debora Donato , Luca Becchetti , Paolo Boldi , Stefano Leonardi , Massimo Santini , Sebastiano Vigna, A reference collection for web spam, ACM SIGIR Forum, v.40 n.2, p.11-24, December 2006
	Xiaoguang Qi , Lan Nie , Brian D. Davison, Measuring similarity to detect qualified links, Proceedings of the 3rd international workshop on Adversarial information retrieval on the web, May 08-08, 2007, Banff, Alberta, Canada
	Juan Martinez-Romo , Lourdes Araujo, Web spam identification through language model analysis, Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web, April 21-21, 2009, Madrid, Spain