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	<title>Comments on: Issues in using SpamBayes to filter news items</title>
	<atom:link href="http://decafbad.com/blog/2003/08/16/bayes-agg-one/feed" rel="self" type="application/rss+xml" />
	<link>http://decafbad.com/blog/2003/08/16/bayes-agg-one</link>
	<description>It's all spinning wheels and self-doubt until the first pot of coffee.</description>
	<pubDate>Wed, 07 Jan 2009 12:32:22 +0000</pubDate>
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		<title>By: Phil Ringnalda</title>
		<link>http://decafbad.com/blog/2003/08/16/bayes-agg-one/comment-page-1#comment-992</link>
		<dc:creator>Phil Ringnalda</dc:creator>
		<pubDate>Tue, 30 Nov 1999 00:00:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.decafbad.com/blog/?p=462#comment-992</guid>
		<description>&lt;p&gt;If you want to train a spam classifier quick, you've got to feed it spam. If you want to train an aggregator classifier, you've got to subscribe to more crap. I do my best to throw you a really stupid post once a week or so, but you need a bunch of feeds yammering on and on about nothing much.&lt;/p&gt;

&lt;p&gt;I'd recommend using MyRSS or Blogstreet (or your own scraper  if you've got one) on a random selection of Blog*Spot blogs: my RandomFreshBlog bookmarklet seems to turn up an unending supply of training material.&lt;/p&gt;
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		<content:encoded><![CDATA[<p>If you want to train a spam classifier quick, you&#8217;ve got to feed it spam. If you want to train an aggregator classifier, you&#8217;ve got to subscribe to more crap. I do my best to throw you a really stupid post once a week or so, but you need a bunch of feeds yammering on and on about nothing much.</p>
<p>I&#8217;d recommend using MyRSS or Blogstreet (or your own scraper  if you&#8217;ve got one) on a random selection of Blog*Spot blogs: my RandomFreshBlog bookmarklet seems to turn up an unending supply of training material.</p>
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		<title>By: TriNetre - The Third Eye</title>
		<link>http://decafbad.com/blog/2003/08/16/bayes-agg-one/comment-page-1#comment-993</link>
		<dc:creator>TriNetre - The Third Eye</dc:creator>
		<pubDate>Tue, 30 Nov 1999 00:00:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.decafbad.com/blog/?p=462#comment-993</guid>
		<description>&lt;p&gt;&lt;strong&gt;Bayes on RSS - discussion links&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Les Orchard at 0xDECAFBAD discusses my post on using Bayes theorem for RSS classification and responds with his own implementation and findings. In short, he too is not satisfied with&lt;/p&gt;
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		<content:encoded><![CDATA[<p><strong>Bayes on RSS - discussion links</strong></p>
<p>Les Orchard at 0xDECAFBAD discusses my post on using Bayes theorem for RSS classification and responds with his own implementation and findings. In short, he too is not satisfied with</p>
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		<title>By: Raw</title>
		<link>http://decafbad.com/blog/2003/08/16/bayes-agg-one/comment-page-1#comment-994</link>
		<dc:creator>Raw</dc:creator>
		<pubDate>Tue, 30 Nov 1999 00:00:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.decafbad.com/blog/?p=462#comment-994</guid>
		<description>&lt;p&gt;&lt;strong&gt;Creating an SVG Wiki&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Write-up of the SVG WikiWhiteboard: XML.com: Creating an SVG Wiki [Nov. 19, 2003] Funnily enough, I came up with the...&lt;/p&gt;
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		<content:encoded><![CDATA[<p><strong>Creating an SVG Wiki</strong></p>
<p>Write-up of the SVG WikiWhiteboard: XML.com: Creating an SVG Wiki [Nov. 19, 2003] Funnily enough, I came up with the&#8230;</p>
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		<title>By: Curiouser and curiouser!</title>
		<link>http://decafbad.com/blog/2003/08/16/bayes-agg-one/comment-page-1#comment-995</link>
		<dc:creator>Curiouser and curiouser!</dc:creator>
		<pubDate>Tue, 30 Nov 1999 00:00:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.decafbad.com/blog/?p=462#comment-995</guid>
		<description>&lt;p&gt;&lt;strong&gt;Whose personality do you want today?&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;l.m.orchard commented regarding the using Bayesian analysis on news .&lt;/p&gt;
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		<content:encoded><![CDATA[<p><strong>Whose personality do you want today?</strong></p>
<p>l.m.orchard commented regarding the using Bayesian analysis on news .</p>
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		<title>By: MassLegal Website Blog</title>
		<link>http://decafbad.com/blog/2003/08/16/bayes-agg-one/comment-page-1#comment-996</link>
		<dc:creator>MassLegal Website Blog</dc:creator>
		<pubDate>Tue, 30 Nov 1999 00:00:00 +0000</pubDate>
		<guid isPermaLink="false">http://www.decafbad.com/blog/?p=462#comment-996</guid>
		<description>&lt;p&gt;&lt;strong&gt;Smart News Aggregators&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Imagine a news browser that would learn the news you want to see and filter it into one or more &quot;inboxes.&quot; That's the promise of Bayesian Aggregators. Using the same technology as spam filters (and fingerprint recognition), a &quot;Bayesian filter&quot;...&lt;/p&gt;
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		<content:encoded><![CDATA[<p><strong>Smart News Aggregators</strong></p>
<p>Imagine a news browser that would learn the news you want to see and filter it into one or more &#8220;inboxes.&#8221; That&#8217;s the promise of Bayesian Aggregators. Using the same technology as spam filters (and fingerprint recognition), a &#8220;Bayesian filter&#8221;&#8230;</p>
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