by Flemming Funch
Spam is an overwhelming problem for my e-mail inbox. I get maybe 20 spam messages for each message I really should get. I'm considering switching to using the Mail application on Mac, which has excellent features for training it to recognize spam and not spam, but it seems awfully slow, and I'm not sure if it otherwise is suited for my large amount of mail. So I'm considering whether I should have something running on my server that filters the mail before it gets to me, and which I can train. I find the traditional tools, which use centralized sources of spam blacklists, totally useless. In part because I have some experience with the ways they are created. Often the over-zealous maintainers will block large IP ranges for questionable reasons, and much legitimate e-mail is lost. So, I'm looking for something I personally can train.
BBC News has an overview article about "Bayesian filters", which appears to be the most effective approach right now, able to recognize up to 99.9% of incoming spam, based on the filters you train it to have.
I'm particularly interested in crm114 which appears to be an open source package I could use on one of my servers. Not that I don't have anything else to do, but the spam problem is driving me crazy.
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