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In December 2006 the beta version of Spam Terrier, our upcoming free anti-spam plug-in for Microsoft Outlook and Outlook Express. The Terrier is now out of puppyhood and is ready to graduate from his obedience classes into the real world, now that he understands how to distinguish between wanted and unwanted emails.
In a nutshell, Spam Terrier uses a Bayesian filter approach, which means that its decisions are based more on behavior patterns than specific white or black list criteria. When you identify a message as spam or not-spam, Spam Terrior uses this information to determine which email behavior patterns are accesptable to you and which are not, rather than relying on the blocking of specific words or phrases.
The more thoroughly you train Spam Terrier, the better its nose for junk becomes. The Bayesian filter uses probability algorithms to assess the odds of new messages having the same characteristics.
Read more at Agnitum BLOGÂ
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