On 8-Jul-2010, at 14:02, objectwerks inc wrote:
On Jul 8, 2010, at 11:35 AM, [email protected] wrote:
from what you've said it's hard to know why it's not recognizing
some of your incoming mail as spam (though Vince has a couple of
good hunches) but again, spam recognition is not based on the
sender's address, it's based on "latent semantic analysis", which
is a clever and trainable but fallible filtering technique that
attempts to discern spammy "meanings" in email; it is very complex,
you can look it up if you want to delve into the theory, but the
upshot is that there will be no "log" that says what was filtered
and why -- the info is kept a database and the Reset button
literally resets that database to its default state, and you then
try to train it and see how it goes; in my experience, the fancy
theory does not yield superb results
I do not know how the OS X learning system works etc. However, I
use spam assassin on my servers and it has a similar system and for
us it works very well.
Both SA and Mail use a bayes system for classifying 'spamishness' of
mail. SpamAssassin uses this as a PART of scoring messages, and has
many other checks and rules that are very effective on their own.
I find Mail's junk filter is pretty decent as long as you make sure
and mark all spam as junk, and UNMARK all non-spam as well.
Very few spams escape its clutches and it makes very few false
positives.
I see between 0.1% and 2% missing SA's filters completely.
Fortunately, it's generally much closer to the 0.1% than to 2%, or
even 1%.
However, when you start fresh with spam assassin the learning
engine needs to be fed enough that it can start to discern things.
A few spams fed into it does not usually work and it won't actually
start working until you have trained it sufficiently. Maybe the
Apple one is similar? I do not know, but am comparing to a similar
system. Maybe clicking JUNK on enough mail will trigger the system
to start working.
SA needs 200 spam and 200 spam before it will even check bayes.
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