Slashdot Mirror


User: elleirdad

elleirdad's activity in the archive.

Stories
0
Comments
2
First seen
Last seen
Profile
(view on slashdot.org)

Comments · 2

  1. Re:No, no, no... look at this another way on The Growing Field Guide To Spam Techniques · · Score: 1

    Nah. The coyote never caught the road runner either. There are an infinite number of places to hide when trying to sell Viagra and body part enlargements. And, the spammers will always stay one step ahead of the blacklists. You see, the spammers must own the same filters (like POPFILE) that you and I do. So, as soon as you an I get an update, they get it and have a chance to change their address. The laws will only stop the legit businesses from prospecting. I am a big fan of the new Bayesian filters. There is a group developing a free filter called SpamBayes (www.spambayes.org) and once company turned it into a product for consumers named (www.inboxer.com). I've been using it and my spam dropped from more than 100 a day to nearly 0.

  2. Bayesian on The Growing Field Guide To Spam Techniques · · Score: 1

    I agree that Bayesian filters are the way to go.

    Wasn't it Justice Potter Stewart who said "I can't define pornography, but I know it when I see it."?

    Well, if all other spam filters try to define spam, it is the Bayesian ones that learn by example. They not only learn by the piles that wiggys describes, Bayesian filters learn about new types of spam as the messages arrive.

    I learned about Bayesian from the SpamBayes site and then switched to a beta of InBoxer from a small start-up(www.inboxer.com) about a month ago. I hardly see any spam any more.