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Overview:

This paper summarizes the participation in the TREC 2006 spam track. They submitted a single filter for the evaluation, based on the Prediction by Partial Matching compression scheme, a method that performed well in the previous TREC evaluation. A major focus of their effort was to improve efficiency of the method, particularly in terms of memory consumption, in order to establish whether compression-based filters are in fact a viable solution for practical applications. Their system exhibited fair performance, despite the fact that the filtering techniques remained virtually unchanged from the previous evaluation. They did not investigate methods for tackling delayed user feedback. A very simple strategy of training on most recent examples was used for the active learning task, and found to work surprisingly well given its simplicity.

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Format:PDFSize:200 KB
Date:Feb 2007
Pages:8

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