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Detection Using Clustering Query Results

  • Nazli Goharian
  • Alana Platt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3975)

Abstract

Previously, we proposed techniques to detect the misuse of search systems using predominantly relevance feedback based techniques. Although the approaches developed achieved high detection rate, they did so with a relatively high rate of false alarm. We now present a clustering query results based approach. This approach supports a higher precision, i.e., lower false alarm rate, with only a modest compromise on detection rate, namely recall.

Keywords

False Alarm Large Cluster Relevance Feedback High Detection Rate Lower False Alarm Rate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Goharian, N., Ma, L.: On Off-Topic Access Detection In Information Systems. In: ACM 14th Conference on Information and Knowledge Management, CIKM (November 2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Nazli Goharian
    • 1
  • Alana Platt
    • 1
  1. 1.Information Retrieval Laboratory, Computer Science DepartmentIllinois Institute of Technology 

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