BUPT at TREC 2006: Spam Track

Abstract. 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 hyperplane and selective classifiers ensemble to improve the filtering performance. Finally, we summarize the relevant results from the official evaluation.