spam filtering by bayesian classifier and imap - ideas

[Andreas Fuchs <asf@void.at>]

Hi,

I am about to move my mails from an nnml spool to an imap-based
setup, and, naturally, I wonder how to keep spam filtering as speedy
and useful as it currently is.

My plan (which requires a shell account and a spam classifier on the
imap server) is this one:

1. Have a spam filter which runs on the server pre-classify mails. Spam
   mails should get a X-Spam: yes header or similar.

2. Use gnus and nnimap-split-fancy to split mail into the correct
   groups.

3. When exiting a group, do this:
   1| when in a spam group, move all non-spam-marked articles to a group
      `INBOX.ham.reclassify'.
   1| when not in a spam group, move all spam-marked articles to a group
      `INBOX.spam.reclassify'.
   2 Start, via ssh (or let a cron job run), an imap client on the
     server which reclassifies the articles and moves spam to the spam
     inbox and ham to the regular inbox, so that it can be re-split.

Does that make sense? Would this be usable on a multi-user imap server?
Comments? Who would be interesed in this?

-- 
Andreas Fuchs, <asf@acm.org>, asf@jabber.at, antifuchs