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.
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Goharian, N., Ma, L.: On Off-Topic Access Detection In Information Systems. In: ACM 14th Conference on Information and Knowledge Management, CIKM (November 2005)
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© 2006 Springer-Verlag Berlin Heidelberg
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Goharian, N., Platt, A. (2006). Detection Using Clustering Query Results. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, FY. (eds) Intelligence and Security Informatics. ISI 2006. Lecture Notes in Computer Science, vol 3975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760146_83
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DOI: https://doi.org/10.1007/11760146_83
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34478-0
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