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This is the support site for Andrews & Arnold Ltd, a UK Internet provider. Information on these pages is generally for our customers but may be useful to others, enjoy!

Spam Folder: Difference between revisions

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<indicator name="Faults">[[File:Menu-emailadd.svg|link=:Category:Email_Features|30px|Back up to the Email Features Category]]</indicator>
 
When connecting to our email service over IMAP we will create a special folder named <code>spam</code> (lowercase). If you delete the spam folder it will be re-created next time you log in.
 
Some email clients recognise this folder as being 'special' and may call is something else, eg our webmail calls it <code>Junk</code>
 
The service will then move messages that has been classified as spam in to this folder. This helps
keep your inbox free of spam and you should keep an eye on this folder in case there are messages
that are not spam.
 
==Disabling the spam folder ==
To stop the mail system from putting spam (or any) messages then you can create a Whitelist for your address on the Control Pages.
 
==Spam 'learning'==
 
Our spam checking system performs many checks on a
message to decide whether it is spam or not. One of the
checks it can do, is to compare the message with previous
messages. -this is called Bayesian Learning.
 
==Checking the learning==
If you view the '[[Email_Viewing_Headers|headers]]' of a message, you should see the spam report, and a line looking like:
-3.0 BAYES_00 BODY: Bayes spam probability is 0 to 1%
or perhaps
0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60%
Here you can see the 'Bayes spam probability' as a percentage.
In the first example the Bayes really thinks the message is not spam - it says 0-1%. The second example is less sure about it.
 
==Teaching the system==
If ourthe system'Bayes is marking non-spam messagesprobability' asis spamincorrect, andthen notit markingcan spambe taught about messages, thenthat oneit wayhas togot improcewrong thisin isthe following ways:
to teach the Bayesian Learning system about messages that have been miss-classified. This is done in the following ways:
 
*Move a message '''OUT''' of the spam folder to tell the system it is '''NOT spam''' spam
*Move a message '''IN''' to the spam folder to tell the system it '''IS spam''' spam
 
If you make a mistake, just move the message back.
 
The process of learning doesn't guarantee that the system will be correct next time a similar message is received, but it should help.
and you should see a change in the 'probability' in the headers.
 
==Legacy folders==
In the past we used to have a system that used folders called <code>learnham</code> and <code>learnspam</code> - this system is no longer used. These
folders can be removed.
 
[[Category:Email Features]]
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