Alan Gutierrez wrote:
I'd like to install SpamAssassin in Postfix to filter spam for a
Domino mail server. I'd like to use Bayesian filtering.
How have people solved the problem of training the filter with user
feedback when SpamAssassin is running at the MTA?
The idea I'm entertaining is wrapping spam messages, delivering them
as attachments, which SA will do already, and having a Reply-To
address of "[EMAIL PROTECTED]", or if it is a false negative,
forward the unwrapped message to "[EMAIL PROTECTED]".
Then the MTA can teach SA that bit of mail.
Any insight would be greatly appreciated.
--
Alan Gutierrez - [EMAIL PROTECTED] - http://engrm.com/blogometer
Hi Alan,
What you describe is exactly what we are doing here.
Postfix/Amavisd-new/Spamassassin filters the mail before it's relayed
onto the domino mail server. We created two extra mail boxes, one for
spam and one for ham. Two buttons were added to the user interface which
move the messages to these boxes respectively. Then we switched on POP
on the Notes server. We use kmail to fetch the mails and they
automagically get converted to the standard mailbox format again. (while
in Notes, they are stored in a proprietary Notes format). Once you
locate the kmail mailboxes it becomes trivial to write a script to
process them with sa-learn.
A manual step is involved though. Maybe it's possible to automate it
entirely with another mail client instead of kmail. I like to have a
look at what people tag as spam though, before it gets learned.
I hope this helps,
Cheers,
Jo
