The only thing you and your customers can do to avoid being flagged as spam by Bayesian filters is to make sure your messages don't look like what recipients classify as spam. That's a tall order, of course; different people have different ideas of what constitutes spam, and the language used in spam changes somewhat over time. Probably the most important thing you can do is to send only plain text messages - no HTML. Unfortunately, that may be unpalatable to your customers. If your system constructs HTML messages, I suppose you could analyze the tags that are popular with spammers at any given time and try to avoid using them, but you'd be running just as fast as you could trying to stay where you are. (I'm not even sure that would work; it depends on how filters tokenize HTML.) Other than that, you can assure your customers that some of their messages will almost certainly be classified as spam. SpamBayes does not automatically delete messages precisely because occasional misclassification is inevitable. They might be able to reduce this by asking themselves whether their messages sound like spam, but Bayesian filters are often sharper than humans, so this might not work. At the risk of consorting with the devil, I'd suggest offering a tuning service. Give your customers a way to run a trial message through a number of spam filters and see how it scores, tweak it, and try again. Maybe you could have consultants advise customers about how to adjust their language. Maybe you could even make money at it. But part of the reason I'm willing to make the suggestion where spammers can see it is because I doubt it would work particularly well. Well-trained Bayesian filters act astonishingly intelligently. For what it's worth, I would regard a SpamBayes spam score of 0 - 5% as "quite low." Almost everything with a score in the 40 - 60% range meets my definition of spam. Of course, your filter may be different.
________________________________ From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Mel Jensen Sent: Monday, December 11, 2006 11:37 AM To: [email protected] Subject: [Spambayes] My mail is being picked up as SPAM Hello, I'm a web developer, and my company provides an off the shelf ecommerce solution, which in turn allows the webstore owners to communicate to their customers via email. We have recently changed email systems to Mdaemon, and since then, some mails I receive from the system are being flagged as follows: 1.6 BAYES_50 BODY: Bayesian spam probability is 40 to 60% This in itself isn't too bad, as it's still quite low, and varies from email to email, but I would like to issue some guidelines on the site that certain things will trigger SPAM filters, and as we are certainly not in the business of SPAM, and would remove anyone from our system immediately should they be communicating to people unless they had expressly opted-in, I'm wondering if you offer any guidelines for companies such as ourselves. My customers are getting annoyed that their customers, whom want to receive information about special offers, are not always receiving them. We have introduced a whitelisting policy and guidelines, but I want to have the best chance of delivering high quality, desired emails, and I want to do it right. Thank you in advance, Mel T. 01784 419968 F. 01784 419969
_______________________________________________ [email protected] http://mail.python.org/mailman/listinfo/spambayes Check the FAQ before asking: http://spambayes.sf.net/faq.html
