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Adversarial Information Retrieval on the Web (AIRWeb 2007)
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Source
ACM SIGIR Forum archive
Volume 42 ,  Issue 1  (June 2008) table of contents
COLUMN: Workshop reports table of contents
Pages 68-72  
Year of Publication: 2008
ISSN:0163-5840
Authors
Carlos Castillo  Yahoo! Research
Kumar Chellapilla  Microsoft Live Labs
Brian D. Davison  Lehigh University
Publisher
ACM  New York, NY, USA
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ABSTRACT

The ubiquitous use of search engines to discover and access Web content shows clearly the success of information retrieval algorithms. However, unlike controlled collections, the vast majority of Web pages lack an authority asserting their quality. This openness of the Web has been the key to its rapid growth and success, but this openness is also a major source of new adversarial challenges for information retrieval methods.


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.

 
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A. Benczúr, I. Bíró, K. Csalogány and T. Sarlós, <u>Web spam detection via commercial intent analysis</u>. In {2}, pages 89--92, May 2007,
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Collaborative Colleagues:
Carlos Castillo: colleagues
Kumar Chellapilla: colleagues
Brian D. Davison: colleagues