BUPT at TREC 2006: Spam Track

This report summarizes our participation in the TREC 2006 spam track, in which we consider the use of Bayesian models for the spam filtering task. Firstly, our anti-spam filter, Kidult, is briefly introduced. And then we try to use weighted adjustment of separating hyper- plane and selective classifiers ensemble to improve the filtering performance. Finally, we sum- marize the relevant results from the official evaluation.