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Distributed spam filtering utilizing a plurality of global classifiers and a local classifier
Distributed spam filtering utilizing a plurality of global classifiers and a local classifier
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机译:利用多个全局分类器和本地分类器的分布式垃圾邮件过滤
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摘要
Embodiments are directed towards using a community of weighted results from local and global message classifiers to determine whether a message is spam. Each local classifier may receive a message that is to be evaluated to determine whether it is spam. A local classifier receives the message and performs a classification of the message. The local classifier may receive predictions of whether the message is spam from at least one global classifier. The local and global predictions are combined using, in one embodiment, a regression analysis to generate a single local message classification. Combining the local and global predictions is directed towards enabling a community of predictions to be used to classify messages. The user may then re-classify this output, which in turn is used as feedback to modify weights to the local and received global predictions for a next message.
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