[Spambayes] Imap and other things.

[Coe, Bob]

I read the description you posted, and I'm prepared to accept that you can do it that way. (My Unix knowledge is too weak to enable me to argue the point, even if I thought you couldn't.) But I guess I don't see why you'd want to. There are reasons to do server-side spam filtering, but this method doesn't address any of them. And it transfers the computational load from the client computer, which usually has power to burn, to the server, which is much more likely to be overstressed. I must be missing something here. What problem(s) have you solved by using the server-side approach?

Bob

MIS Department, City of Cambridge
831 Massachusetts Ave, Cambridge MA 02139  ·  617-349-4217  ·  fax 617-349-6165

> -----Original Message-----
> From: spambayes-bounces at python.org
> [mailto:spambayes-bounces at python.org]On Behalf Of akonstam at trinity.edu
> Sent: Sunday, August 08, 2004 2:55 PM
> To: spambayes at python.org
> Subject: [Spambayes] Imap and other things.
> 
> 
> First, with the help of people on this list and especially through
> the patience of Tony Meyer I think we have the sb_imapfilter.py
> problems solved.
> 
> All that was needed is to identify the folders that IMAP needed to
> look at in the configuration file. The default INBOX for example would
> not cut it on a Linux system.
> 
> In return I would like to give something back to the community. People
> keep accusing me of wanting a server filtering solution to spam
> identification, although I never said I did. Well people must be
> psychic since we indeed at Trinity are going to use SpamBayes with the
> server doing the filtering. But our solution unlike any I have seen
> referred to in the documentation allows each user to train his own
> mail according to his wishes, and there is no need to use any of the
> proxy servers. Are you intrigued? I am submitting a description of
> this approach in separate message and hopefully someone will feel it is
> worth having it included in the documentation linked to the SpamBayes
> web site.
> -- 
> -------------------------------------------
> Aaron Konstam
> Computer Science
> Trinity University
> One Trinity Place.
> San Antonio, TX 78212-7200
> 
> telephone: (210)-999-7484
> email:akonstam at trinity.edu
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