Adversarial Information Retrieval on the Web (AIRWeb 2007)

@article{Castillo2008AdversarialIR,
  title={Adversarial Information Retrieval on the Web (AIRWeb 2007)},
  author={C. Castillo and K. Chellapilla and Brian D. Davison},
  journal={SIGIR Forum},
  year={2008},
  volume={42},
  pages={68-72}
}
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. 
Spam detection through link authorization from neighboring nodes
Adversarial Web Search

References

SHOWING 1-6 OF 6 REFERENCES
Building bridges for web query classification
Detecting spam web pages through content analysis
Improving web search ranking by incorporating user behavior information
SpamRank -- Fully Automatic Link Spam Detection
Hash cash - a denial of service countermeasure,
  • Technical. Report
  • 2002
Mining clickthrough data for collaborative web search