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Adversarial information retrieval on the web (AIRWeb 2006)

Authors:

Brian D. Davison,

Marc Najork,

Tim ConverseAuthors Info & Claims

ACM SIGIR Forum, Volume 40, Issue 2

Pages 27 - 30

https://doi.org/10.1145/1189702.1189706

Published: 01 December 2006 Publication History

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Abstract

The attraction of hundreds of millions of web searches per day provides significant incentive for many content providers to do whatever is necessary to rank highly in search engine results, while search engine providers want to provide the most accurate results. The conflicting goals of search and content providers are adversarial, and the use of techniques that push rankings higher than they belong is often called search engine spam. Such methods typically include textual as well as link-based techniques, or their combination.

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Tagarelli AInterdonato RTagarelli AInterdonato R(2018)Pervasiveness of the Notion of Lurking in OSNsMining Lurkers in Online Social Networks10.1007/978-3-030-00229-9_5(39-46)Online publication date: 10-Nov-2018
https://doi.org/10.1007/978-3-030-00229-9_5
Castillo CDavison B(2011)Adversarial Web SearchFoundations and Trends in Information Retrieval10.1561/15000000214:5(377-486)Online publication date: 1-May-2011
https://dl.acm.org/doi/10.1561/1500000021
Baeza-Yates RBoldi PBozzon ABrambilla MCeri SPasi G(2011)Trends in Search InteractionSearch Computing10.1007/978-3-642-19668-3_3(26-32)Online publication date: 2011
https://doi.org/10.1007/978-3-642-19668-3_3
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Adversarial information retrieval on the web (AIRWeb 2006)
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Published In

ACM SIGIR Forum Volume 40, Issue 2

December 2006

64 pages

ISSN:0163-5840

DOI:10.1145/1189702

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2006

Published in SIGIR Volume 40, Issue 2

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Cited By

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Tagarelli AInterdonato RTagarelli AInterdonato R(2018)Pervasiveness of the Notion of Lurking in OSNsMining Lurkers in Online Social Networks10.1007/978-3-030-00229-9_5(39-46)Online publication date: 10-Nov-2018
https://doi.org/10.1007/978-3-030-00229-9_5
Castillo CDavison B(2011)Adversarial Web SearchFoundations and Trends in Information Retrieval10.1561/15000000214:5(377-486)Online publication date: 1-May-2011
https://dl.acm.org/doi/10.1561/1500000021
Baeza-Yates RBoldi PBozzon ABrambilla MCeri SPasi G(2011)Trends in Search InteractionSearch Computing10.1007/978-3-642-19668-3_3(26-32)Online publication date: 2011
https://doi.org/10.1007/978-3-642-19668-3_3
Egele MBilge LKirda EKruegel CShin SOssowski SSchumacher MPalakal MHung C(2010)CAPTCHA smugglingProceedings of the 2010 ACM Symposium on Applied Computing10.1145/1774088.1774483(1865-1870)Online publication date: 22-Mar-2010
https://dl.acm.org/doi/10.1145/1774088.1774483
Huang FKe SFan Q(2008)Predicting Effectively the Pronunciation of Chinese Polyphones by Extracting the Lexical InformationAdvances in Computer and Information Sciences and Engineering10.1007/978-1-4020-8741-7_29(159-165)Online publication date: 2008
https://doi.org/10.1007/978-1-4020-8741-7_29

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