editor
471
edits
Spam Folder: Difference between revisions
Interaction between Spam checking and Sieve filtering
m (Added comment that folder names are case sensitive (I got it wrong!)) |
(Interaction between Spam checking and Sieve filtering) |
||
| (19 intermediate revisions by 3 users not shown) | |||
|
<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 it something else, e.g. our webmail calls it <code>Junk</code>
The service will then move messages that have been classified as spam into this folder (unless you are doing your own Sieve filtering). This helps
that are not spam.
Some email clients (e.g. K-9 Mail for Android) refuse to notify the user of new mail in the Spam folder. This behaviour can be corrected by declaring (e.g. in the account's folder settings) that there is no special Spam folder.
▲You should keep an eye on this folder in case there are messages
To stop the mail system from putting spam (or any) messages then you can create an allow list 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.
If the 'Bayes spam probability' is incorrect, then it can be taught about messages that it has got wrong in the following ways:
*Move a message '''OUT''' of the spam folder to tell the system it is '''NOT spam'''
*Move a message '''IN''' to the spam folder to tell the system it '''IS 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]]
[[Category:Email How to]]
| |||