From: Gerrit Holl <gerrit@nl.linux.org> I don't know whether this idea is new, and I do not need it myself. But my thought is that bayesian filtering may be used for other means than only spam-ham-checking. As I Understand It, spambayes has a database with spam and one with ham, compares each message new with the messages in each database and calculates spam/ham probabilities this way. Would it be possible to extend this to 3, 4, or 10 different message databases? Suppose someone gets a lot of e-mail (for example, because he is a famous politician or something like that). He may want to filter it into several mailboxes, for example, based on what the e-mail is about (foreign policy, education, taxes, etc). This is too complex for simple regexp-rule-filtering. Could bayesian filtering be a solution? If he would show 5 mails about each subject, could Bayesian filtering do a good job in filtering all following emails according to those databases? It's just a thought... Done-and-tested in CRM114. You supply a set of statistics files, and which ones you want to consider in each class. CRM114 then tells you not just which class was the winner, but which file _independently_ was the winner. So you can do an N-way split. This works embarassingly well. I'm not using it personally, but it was a feature request and the user made happy gushy noises after he tested it. So, the general technique is quite useful. -Bill Yerazunis