Hi everybody, we're trying to figure out the most efficient way of dealing with SPAM in Zimbra (we have edge MTA handling some of it too). What we're trying to find out what are the common practices in HiEd institutions? I'll bring some examples: * do you let users "train" your Bayesian by marking mail as "Junk"? * do you flush your Bayesian DBs every once in a while (and how often)? * do you solely rely on Edge MTA for SPAM filtering and do only pass-through in Zimbra? * etc. etc. etc. We think our SPAM-filtering setup at present can't keep up with SPAM and we have either lots of false-positives or the contrary - lots of false-negatives. I've seen some opinions that you shouldn't double-filter with Bayesian as your second instance would be "starving" and will not perform as expected. I also have met with opinions that you shouldn't do rule-based filtering and rely solely on Bayesian. Another opinion was that Bayesian is strictly a personal tool and you can't apply one SPAM/HAM DB across institution because preferences of HR clerk are different from Prof's and yet different from IT professional due to the different vocabularies of incoming mail. And so on and so forth. -- Dmitry Makovey Web Systems Administrator Athabasca University (780) 675-6245
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