Hello again, A glance of /. lead me to http://www.paulgraham.com/spam.html and bayesian filtering. Quite an in depth paper on spam and the math behind *proper* filtering. An interesting read if you've got 10 minutes.
In order for this filtering to occur it cannot happen on the server - I suppose it could, but would be very taxing on resources - since each person needs to taylor (pun intended) the probabilities of tokens (words) to the type of spam and valid emails they get both in the message and the header. Can others see how valuable a leading edge feature like this could be in Evo? -- Christopher Ness _______________________________________________ evolution maillist - [EMAIL PROTECTED] http://lists.ximian.com/mailman/listinfo/evolution
