16 lines
974 B
Plaintext
16 lines
974 B
Plaintext
The SpamBayes project is working on developing a Bayesian anti-spam filter,
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initially based on the work of Paul Graham. The major difference between
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this and other, similar projects is the emphasis on testing newer approaches
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to scoring messages. While most anti-spam projects are still working with
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the original graham algorithm, we found that a number of alternate methods
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yielded a more useful response. This is documented on the background page.
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SpamBayes is not a single application. The core code is a message
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classifier, however there are several applications available as part of the
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SpamBayes project which use the classifier in specific contexts. For the
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most part, the current crop of applications all operate on the client side
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of things, however, a number of people have experimented with using
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SpamBayes on mail servers to classify incoming mail for multiple users. The
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table below outlines the main applications which are part of the SpamBayes
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distribution.
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