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Bug 665008 - Document training junk/spam filters
Document training junk/spam filters
Status: RESOLVED FIXED
Product: evolution
Classification: Applications
Component: User Documentation
3.4.x (obsolete)
Other Linux
: Normal minor
: ---
Assigned To: evolution-user-docs
Evolution QA team
Depends on:
Blocks: 589579
 
 
Reported: 2011-11-28 08:10 UTC by André Klapper
Modified: 2013-09-13 01:06 UTC
See Also:
GNOME target: ---
GNOME version: ---



Description André Klapper 2011-11-28 08:10:24 UTC
From the "How to handle unsolicited e-mails with evolution 2.32.2 ?" thread on evolution mailing list this month:

the new FAQ says nothing about how to train the junk filters. The old FAQ at least mentioned this as something you need to do.

However, there are some webpages out there stating that you can only use one spam filter at a time plus that training is not needed anymore for Bogofilter:
http://wiki.ubuntuusers.de/Evolution#Spamfilter
Validating that piece of information would be great.
Comment 1 André Klapper 2011-11-28 08:13:41 UTC
Might be also useful to link to http://bogofilter.sourceforge.net/faq.shtml and http://wiki.apache.org/spamassassin/FrequentlyAskedQuestions as Evolution cannot and should not cover any potential configuration question for these tools.
Comment 2 André Klapper 2011-11-28 08:26:06 UTC
More useful stuff from the mailing list:

Bogofilter: "By default it won't filter anything. It does not come with a default set of spam criteria, since one person's spam may be another person's ham. That's why you have to get it to learn what *you* consider to be spam." as written by Patrick O'Callaghan.

"SpamAssassin works through a set of rules, hence it can determine spam
straight away; you can modify the action of SpamAssassin by training it
as well. Bogofilter works only by learning. If you only train a spam
filter on bad messages, it will assume all mail is bad (because it
does not know any difference) hence the programs are designed to not make
any decisions until the database is sufficiently large to determine what
is *and is not* spam." by Pete Biggs.