[Spambayes-checkins] spambayes/Outlook2000 about.html,1.1,1.2

Fri Nov 1 01:24:52 2002

Update of /cvsroot/spambayes/spambayes/Outlook2000
In directory usw-pr-cvs1:/tmp/cvs-serv26936

Modified Files:
	about.html 
Log Message:
Add a bit more cruft


Index: about.html
===================================================================
RCS file: /cvsroot/spambayes/spambayes/Outlook2000/about.html,v
retrieving revision 1.1
retrieving revision 1.2
diff -C2 -d -r1.1 -r1.2
*** about.html	31 Oct 2002 21:56:59 -0000	1.1
--- about.html	1 Nov 2002 01:24:09 -0000	1.2
***************
*** 1,7 ****
! <HTML>
! <Title>About SpamBayes</Title>
! 
! <BODY>
! Contributions welcome!
! </BODY>
! </HTML>
\ No newline at end of file
--- 1,57 ----
! <!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
! <html>
! <head>
!   <title>About SpamBayes</title>
! </head>
! <body>
! <span style="font-style: italic;">NOTE: This is very very early code. &nbsp;If
! you are looking this, you have probably been told about it against our better
! judgement &lt;wink&gt;. &nbsp;Stuff doesnt work correctly. &nbsp;Fields are
! funny. &nbsp;If you want something known to work well today for alot of people,
! this is not for you.<br>
! </span><br style="font-style: italic;">
! The source code is maintained at <a
!  href="http://spambayes.sourceforge.net">SourceForge</a>.<br>
! <br>
! This spam filter uses Bayesian analysis to filter spam. &nbsp;Unlike other
! spam detection systems, Bayesian systems actually "learn" about what you
! consider spam, and continually adapt as both your regular email and spam
! patterns change.<br>
! <h2>Training</h2>
! Due to the nature of the system, it must be trained before it can be effective.
! &nbsp;Although the system does learn over time, when first installed it has
! no knowledge of either spam or good email.<br>
! <h3>Initial Training</h3>
! When first installed, it is recommended you perform the following steps:<br>
! <ul>
!   <li>Create two folders - one for "Spam", and one for "Possible Spam"</li>
!   <li>Go through your Inbox and Deleted Items, and move as much spam as you
! can find to the "Spam" folder. &nbsp;Try and get as much Spam out of your
! inbox as possible.</li>
!   <li>Select the <span style="font-style: italic;">Training</span> dialog.
! &nbsp;Nominate your Spam folder for spam, and your Inbox for good messages,
! and start training.</li>
! </ul>
! To see how effective your Inbox cleanup was, you may like to try:<br>
! <ul>
!   <li>Go to the <span style="font-style: italic;">Filter Now</span> dialog.</li>
!   <li>Select your Inbox as the folder to filter.</li>
!   <li>Select <span style="font-style: italic;">Score messages, but dont perform
! filter action</span>.</li>
!   <li>Clear both checkboxes so all messages will be scored.</li>
!   <li>Start the score operation.</li>
! </ul>
! You can then look at and sort by the Spam field in your Inbox - this is likely
! to find hidden spam that you missed from your inbox cleanup.
! <h3>Incremental Training</h3>
! When you drag a message to your Spam folder, it will be automatically trained
! as spam. &nbsp;Thus, as the classifier misses spam (or is unsure about them),
! it learns as you correct it.<br>
! If messages are dropped back into the Inbox, they are trained as good - thus,
! the system learns what good messages look like should it incorrectly classify
! it as spam or possible spam.<br>
! <br>
! Contributions to this documentation are welcome!<br>
! <br>
! </body>
! </html>