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	<title>Comments on: Cloudalicious suggestions</title>
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	<link>http://blog.pietrosperoni.it/2005/06/01/cloudalicious-suggestions/</link>
	<description>Pietro Speroni di Fenizio's web log</description>
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		<title>By: Pietro</title>
		<link>http://blog.pietrosperoni.it/2005/06/01/cloudalicious-suggestions/comment-page-1/#comment-181</link>
		<dc:creator>Pietro</dc:creator>
		<pubDate>Tue, 07 Jun 2005 10:33:02 +0000</pubDate>
		<guid isPermaLink="false">http://blog.pietrosperoni.it/2005/06/01/cloudalicious-suggestions/#comment-181</guid>
		<description>Hello Adam,
sorry if I answer you so late, but I was out. I described the other formula at the end of the last post: &lt;a href=&quot;http://blog.pietrosperoni.it/2005/06/07/tag-clouds-and-spam/&quot; rel=&quot;nofollow&quot;&gt;tag clouds are hard to spam&lt;/a&gt;. Thanks for the important link. My understanding is that power law don&#039;t always have an average, yet finite power law always have one. And this is a fundamental difference if we don&#039;t want to overemphasize the long tail.

I carefully avoided the discussion on the various possible metric that could replace the euclidean one, because I know is a big topic, and deserve full attention. I would start by testing the various Ln metrics. But is useless to think about it right now. We first need to have some tool that given a URL finds us other URL that are near in &lt;em&gt;any&lt;/em&gt; metric. Than switching from Euclidean metric (aka L2) to another Ln will be easy. It could even be a variable in the search form.</description>
		<content:encoded><![CDATA[<p>Hello Adam,<br />
sorry if I answer you so late, but I was out. I described the other formula at the end of the last post: <a href="http://blog.pietrosperoni.it/2005/06/07/tag-clouds-and-spam/" rel="nofollow">tag clouds are hard to spam</a>. Thanks for the important link. My understanding is that power law don&#8217;t always have an average, yet finite power law always have one. And this is a fundamental difference if we don&#8217;t want to overemphasize the long tail.</p>
<p>I carefully avoided the discussion on the various possible metric that could replace the euclidean one, because I know is a big topic, and deserve full attention. I would start by testing the various Ln metrics. But is useless to think about it right now. We first need to have some tool that given a URL finds us other URL that are near in <em>any</em> metric. Than switching from Euclidean metric (aka L2) to another Ln will be easy. It could even be a variable in the search form.</p>
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		<title>By: Adam</title>
		<link>http://blog.pietrosperoni.it/2005/06/01/cloudalicious-suggestions/comment-page-1/#comment-180</link>
		<dc:creator>Adam</dc:creator>
		<pubDate>Sat, 04 Jun 2005 16:55:49 +0000</pubDate>
		<guid isPermaLink="false">http://blog.pietrosperoni.it/2005/06/01/cloudalicious-suggestions/#comment-180</guid>
		<description>Hi Pietro,

Thanks for all the ideas you&#039;ve been writing about, great stuff. I suggested some ideas for tag related graphs &lt;a href=&quot;http://www.econometa.com/archives/12&quot; rel=&quot;nofollow&quot;&gt;here&lt;/a&gt; that you might be interested in; they are more about state than time evolution though.

I also wanted to follow up on some things you&#039;ve mentioned: in this post you mention possible alternatives to calculating weight so as to keep the &quot;point&quot; corresponding to a URL on the surface of the n-simplex in tag space; what would they be? Also, you previously suggested using metrics besides the Euclidean metric in calculating &quot;distances&quot; between URLs in tag space; which metrics would you consider, and how do you think they would more accurately describe this distance?</description>
		<content:encoded><![CDATA[<p>Hi Pietro,</p>
<p>Thanks for all the ideas you&#8217;ve been writing about, great stuff. I suggested some ideas for tag related graphs <a href="http://www.econometa.com/archives/12" rel="nofollow">here</a> that you might be interested in; they are more about state than time evolution though.</p>
<p>I also wanted to follow up on some things you&#8217;ve mentioned: in this post you mention possible alternatives to calculating weight so as to keep the &#8220;point&#8221; corresponding to a URL on the surface of the n-simplex in tag space; what would they be? Also, you previously suggested using metrics besides the Euclidean metric in calculating &#8220;distances&#8221; between URLs in tag space; which metrics would you consider, and how do you think they would more accurately describe this distance?</p>
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