Not only do bayesian filters work but they solve several problems that rules based filters can't solve. #1, my spam may be your reading material- if I let you set rules for me, I might have wanted to see that sale at jcrew that you declared spam.
#2. If you are rules based you have to make up new rules and distribute them as soon as the spammers try out a new method to get by you. If you are bayesian, and you are good, you analyze the content and declare it spam anyway. I recommend InBoxer at http://inboxer.com for a free 21 day trial. Or for those of you who like to roll your own. Open source at http://www.spambayes.org
One reason to use a bayesian spam filter, client side, is to allow each person to define spam in their own way. InBoxer, located at http://www.inboxer.com is a bayesian filter meaning that it learns by example- your example. It is based on some open source work, check www.spambayes.org for roll your own.
It is my personal preference that someone else not be in charge of my bulk mail. For example, I like getting jcrew sales online- I don't like getting amazon book sales pitches, but I do like to know when my amazon order has been shipped. A customizable filter can do that.
I decide what is spam.
InBoxer is a commercially available version of spambayes for Outlook specifically. In general less advanced users should find it more friendly. If you are interested in how these filters work, you can find some information at the FAQ on that site as well as in a piece written about bayesian filters. check out www.inboxer.com
Slashdot Mirror
Not only do bayesian filters work but they solve several problems that rules based filters can't solve. #1, my spam may be your reading material- if I let you set rules for me, I might have wanted to see that sale at jcrew that you declared spam. #2. If you are rules based you have to make up new rules and distribute them as soon as the spammers try out a new method to get by you. If you are bayesian, and you are good, you analyze the content and declare it spam anyway. I recommend InBoxer at http://inboxer.com for a free 21 day trial. Or for those of you who like to roll your own. Open source at http://www.spambayes.org
One reason to use a bayesian spam filter, client side, is to allow each person to define spam in their own way. InBoxer, located at http://www.inboxer.com is a bayesian filter meaning that it learns by example- your example. It is based on some open source work, check www.spambayes.org for roll your own. It is my personal preference that someone else not be in charge of my bulk mail. For example, I like getting jcrew sales online- I don't like getting amazon book sales pitches, but I do like to know when my amazon order has been shipped. A customizable filter can do that. I decide what is spam.
InBoxer is a commercially available version of spambayes for Outlook specifically. In general less advanced users should find it more friendly. If you are interested in how these filters work, you can find some information at the FAQ on that site as well as in a piece written about bayesian filters. check out www.inboxer.com