Update of /cvsroot/tess/homepage
In directory sc8-pr-cvs1:/tmp/cvs-serv18998/homepage
Modified Files:
index.html
Log Message:
Minor homepage updates.
Index: index.html
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RCS file: /cvsroot/tess/homepage/index.html,v
retrieving revision 1.4
retrieving revision 1.5
diff -C2 -d -r1.4 -r1.5
*** index.html 7 Jan 2003 04:54:41 -0000 1.4
--- index.html 23 Jan 2003 06:20:28 -0000 1.5
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*** 33,37 ****
<a name="overview"> The Spam Secretary is an anti-spam mail filter based on the article at <a href="http://www.paulgraham.com/spam.html" target=_blank>http://www.paulgraham.com/spam.html</a>. It is a single file written in python and is easy to install. It is mailclient independent, and the hope is that it will be MDA independent as well. As long as you can specify a program to run when you deliver mail, have python installed, and your mail is stored in mbox format (maildir format forthcoming), you're all set.</a>
<p>
! Please look <a href="http://www.sourceforge.com/projects/tess">here for files and documentations.</a>
<p>
<a name="works">In breif, the filter works by keeping track of how often a word appears in smap mail vs. non-spam mail. If a word often appears in spam, but only seldom appears in non-spam, the odds of that message being spam are greater. In this way, the 15 "most interesting" (most and least spam-probable) words are found in an incoming message and the message is sorted accordingly. This sounds so obvious and easy that it's hard to believe it really works, but it does.</a>
--- 33,37 ----
<a name="overview"> The Spam Secretary is an anti-spam mail filter based on the article at <a href="http://www.paulgraham.com/spam.html" target=_blank>http://www.paulgraham.com/spam.html</a>. It is a single file written in python and is easy to install. It is mailclient independent, and the hope is that it will be MDA independent as well. As long as you can specify a program to run when you deliver mail, have python installed, and your mail is stored in mbox format (maildir format forthcoming), you're all set.</a>
<p>
! Please look <a href="http://www.sourceforge.com/projects/tess">here for files and documentation.</a>
<p>
<a name="works">In breif, the filter works by keeping track of how often a word appears in smap mail vs. non-spam mail. If a word often appears in spam, but only seldom appears in non-spam, the odds of that message being spam are greater. In this way, the 15 "most interesting" (most and least spam-probable) words are found in an incoming message and the message is sorted accordingly. This sounds so obvious and easy that it's hard to believe it really works, but it does.</a>
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