On Wednesday 18 February 2004 14:44, Carlos E. R. wrote:
The Wednesday 2004-02-18 at 10:56 -0900, John Andersen wrote:
I've been there for two or three years (on the razor list). But the issue of effectiveness is largely ignored.
Regardless of how it is trained, Razor's basic design allows it only to catch allready known spam, whereas other filters can set the spami-ness of never before seen spam with suprizing effectiveness.
That posses a question. I'm getting a kind of spam (it started a few months ago) that is hard to catch by spamassassin: a link to an image (which I assume is the "message") and a more or less long paragraph full of random text, aimed at rendering bayessian filters useless.
How can we best filter out those? I suppose something like "razor" should work, at least for those that do not get them first.
But I have never tried razor.
-- Cheers, Carlos Robinson
I read mail using Kmail. Anything that gets thru spamassassin but IS spam I manually move to a folder I created called missedspam Then every midnight a cronjob runs sa-learn against that folder and then deletes the contents. That trains the bayes filters and they are getting pretty good at spotting those. -- _____________________________________ John Andersen