Xref: utzoo sci.lang:4896 comp.ai:4477
Path: utzoo!utgpu!jarvis.csri.toronto.edu!rutgers!bpa!cbmvax!snark!eric
From: eric@snark.uu.net (Eric S. Raymond)
Newsgroups: sci.lang,comp.ai
Subject: looking for work on text `interest score' computation
Message-ID: <1SDNCv#4Gg1CL=eric@snark.uu.net>
Date: 24 Jul 89 16:26:51 GMT
Followup-To: sci.lang
Lines: 19

Please help me save USENET from uselessness! ;-)

I'm looking for methods for filtering news articles for `interest level'
according to preferences expressed by the user, sort of a generalization
of the kill-files concept.

The idea is to use such software as a noise filter. This will be useful for
the present USENET, and become even more important  as I turn USENET into
a distributed-hypertext system.

I would like to hear about any such work, whether statistical or knowledge-
based and *no matter how slow the method is or what language it's in!*

Code that is available and useful will be ported into the TMNN netnews suite and
made available for public redistribution under copyleft.

Thanks in advance...
-- 
      Eric S. Raymond = eric@snark.uu.net    (mad mastermind of TMN-Netnews)