Detection Using Clustering Query Results
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.
KeywordsFalse Alarm Large Cluster Relevance Feedback High Detection Rate Lower False Alarm Rate
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