Hello all, I want to use Bayesian Rules on all incoming mails for all users on our server, however am not entirely sure how to do it as the 100+ mail accounts we have are not in use by an homogenous group...
As I understand it, using SA-learn needs both good and bad e-mails to work properly, and what is spam for me is not necesarily spam for the sales people. 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? 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? Best regards, Kenneth Andresen ------------------------------------------------------- The SF.Net email is sponsored by EclipseCon 2004 Premiere Conference on Open Tools Development and Integration See the breadth of Eclipse activity. February 3-5 in Anaheim, CA. http://www.eclipsecon.org/osdn _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
