[Spambayes] Milter wrinkles

[Stuart D. Gathman]

I am looking for ways to integrate bayesian filtering of some kind with 
the Python Milter:  http://www.bmsi.com/python/milter.html

First, there is the difficulty of statistics being preferrably user
specific.  Is this a show stopper for this kind of filtering at the milter
level?  How could the system get feedback from the users?  Is this simply
an inappropriate thing to do at this level?

Second, a milter would like to hang up on spammers as soon as possible.  
This is why a blacklist of spam domains is valuabl -  although it only 
stops a small percentage, they are stopped immediately before many 
resources are used.

I had the thought that the bayesian analysis could be applied to the 
headers only.  Then, email with very spammy headers could be rejected 
without bothering with the body.  I'll have to experiment with how 
effective this is.

-- 
	      Stuart D. Gathman <stuart@bmsi.com>
Business Management Systems Inc.  Phone: 703 591-0911 Fax: 703 591-6154
"Confutatis maledictis, flamis acribus addictis" - background song for
a Microsoft sponsored "Where do you want to go from here?" commercial.