Use bayes autolearning so that you don't have to bother to much.
Also setup some aliases like [EMAIL PROTECTED] and [EMAIL PROTECTED] where users
can forward wrongly classified mail for you to reclassify. Don't try
to use someone else's bayes db and don't use just your personal email
since it won't match the bayes characteristics of the entire company.
The problem of course, with this solution is that you cannot simply
forward messages to a mailbox and train spamassassin. If you do, you
will be training spamassassin that the user/client who sent the message
is spammy/hammy. This is almost never what you want.
Perhaps what Gary V says is even better. ( I posted this same question
to the amavis users list a year ago )
A message that is forwarded from a user is not the same message that
was originally received (because it has a new set of headers). If
you are using 'sa-learn --spam' then you *are* training bayes to
recognize stuff that comes from you as spam. You need to save the
original message in its entirety with the original headers intact.
Your MUA may have the ability to export the message as .EML or .TXT.
Make sure the file that results from the export is plain text.
If you are on a Windows machine, you could export the messages
to a folder, then copy the folder over to your Debian box using
WinSCP or other means.
Cheers,
-Matt
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Matthew D. Sill : Developer/Analyst
ph# (907) 456-5581 : fax# (907) 456-3111
Engineering & Environmental Internet Solutions, LLC
530 7th Ave. Suite #1 : Fairbanks, AK 99701
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