I'm playing around with spamd for a few accounts on our mail server via procmail and I would like to set up bayesian filtering. Everywhere I read says that per-user is the way to go with bayesian filters versus one big site-wide database, because everyone gets different spam and ham, etc., though I seem to get the same spam as everyone else I know. Anyway I'm not sure how to implement the training. I've been using sa-learn, but it updates the database of the user that runs the command (duh), and I would prefer to not give everyone a valid shell. Is there any way to train the filter on a per-user basis without handing out login shells?
I would like to set up a web interface in our webmail and/or a cron job to train for spam folders, but I'm not sure if this is possible without changing the accounts.
Thanks!
-- Josh
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