Will SA-learn filter all mails for everybody using the same rules, or how can it work with different rule set for each user/mail account?
by default bayes databases and rulesets are specific to the user that executes SA (note: that's execution, which might not be the same as the recipient).
Thus separate user bayes db's can be obtained by executing SA as the user who's mail it is, or using the -u parameter to spamc
It should also be noted that we use pop3 accounts, what are the best practices for reporting incoming mail as being good and bad? Can it be done by creating [EMAIL PROTECTED] and [EMAIL PROTECTED] mail accounts and forward the mails there?
via forwarding, never. However, some mail clients have a bounce feature that will work.
What is important here is that the message get to sa-learn without change to the headers. A normal forward will rewrite all new message headers, making it invalid to train with that message.
see the FAQ for more
http://wiki.spamassassin.org
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