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	<title>Comments on: Blog Usability</title>
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	<link>http://www.subbu.org/blog/2006/01/blog-usability</link>
	<description>HTTP, REST and some Cycling</description>
	<pubDate>Thu, 20 Nov 2008 15:07:58 +0000</pubDate>
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		<title>By: Ravikumar S</title>
		<link>http://www.subbu.org/blog/2006/01/blog-usability/comment-page-1#comment-91</link>
		<dc:creator>Ravikumar S</dc:creator>
		<pubDate>Wed, 04 Jan 2006 22:02:34 +0000</pubDate>
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		<description>Quite good. Keep it up!
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		<content:encoded><![CDATA[<p>Quite good. Keep it up!</p>
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		<title>By: Doug</title>
		<link>http://www.subbu.org/blog/2006/01/blog-usability/comment-page-1#comment-90</link>
		<dc:creator>Doug</dc:creator>
		<pubDate>Tue, 03 Jan 2006 10:12:32 +0000</pubDate>
		<guid isPermaLink="false">http://wp.subbu.org/2006/01/blog-usability/#comment-90</guid>
		<description>&lt;p&gt;I've been pretty happy with the ability to customize Expression Engine. You can configure your site pretty much however you want to, but it certainly will require some effort - you have to design and code your own templates.&lt;/p&gt;
&lt;p&gt;The "most popular articles" is a great idea, but I haven't found a way to determine which ones are most popular. Unfortunately, I can't cleanly separate search engine requests and referrer spam requests from legitimate views. Also, if an article appears in its entirety on the front page and/or the RSS feed, there's no way to determine how many people read that particular article.&lt;/p&gt;
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		<content:encoded><![CDATA[<p>I&#8217;ve been pretty happy with the ability to customize Expression Engine. You can configure your site pretty much however you want to, but it certainly will require some effort - you have to design and code your own templates.</p>
<p>The &#8220;most popular articles&#8221; is a great idea, but I haven&#8217;t found a way to determine which ones are most popular. Unfortunately, I can&#8217;t cleanly separate search engine requests and referrer spam requests from legitimate views. Also, if an article appears in its entirety on the front page and/or the RSS feed, there&#8217;s no way to determine how many people read that particular article.</p>
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