Scott,

| 
| Without being fed data for individual users, Bayesian filtering becomes
| less effective (how much less effective depends on how similar your users
| are; a small business will see better server-wide results than an ISP, for
| example), and that is most likely just a limitation you would need to

 [--jimm replies] 

If I may chime in on this thread; I should like to get some advice.  Right
now I teach the statistical filter which words are good by extracting the
false positives and running those against the antispamseeder.  How would one
catch the true negatives as well?  I have thought about copying all incoming
messages, but have thought that would also copy the stuff I intend to
quarantine.

--jimm

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