From: "List Mail User" <[EMAIL PROTECTED]>
> Though nobody seems to have said it exactly this way: It seems
> to be becoming very obvious that the people who say the have problems
> with Bayes are those who support a diverse group of users (e.g. ISPs
> and email providers) and those who find it works well, even with
autolearning
> are those with either small numbers of users or users who are mostly of
> a very specific categorization type (e.g. medical, legal, technical, or
> just about any homogenous group).
I suspect you are right, Paul. And I restrict the group a little farther
to suggest it is large ISPs with diverse customer bases and global Bayes
who have the most trouble. Per user Bayes, a good set of SARE rules, and
significantly widened autolearn thresholds from base install levels may
be their solution.
Global Bayes is probably the ISP poison proposition. And autolearn with
normal thresholds is probably further poison.
But then, I run manual learn, private Bayes, and LOTS of rules. (40 sets
of SARE rules plus my own largish set of rules that apply to me but not
others works nicely along with the private Bayes....)
{^_-}
