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	<title>Open Frameworks &#187; Uncategorized</title>
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	<link>http://www.openframeworks.com</link>
	<description></description>
	<lastBuildDate>Thu, 08 Jul 2010 07:05:07 +0000</lastBuildDate>
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		<title>RIA</title>
		<link>http://www.openframeworks.com/uncategorized/ria/</link>
		<comments>http://www.openframeworks.com/uncategorized/ria/#comments</comments>
		<pubDate>Sun, 11 Apr 2010 12:33:38 +0000</pubDate>
		<dc:creator><span property="dc:creator" resource="http://www.openframeworks.com/uncategorized/ria/">Kai</span></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://www.openframeworks.com/?p=186</guid>
		<description><![CDATA[<p><a href="http://www.openframeworks.com/wp-content/uploads/2010/04/ironman_banner.jpg"><img class="aligncenter size-full wp-image-187" title="ironman_banner" src="http://www.openframeworks.com/wp-content/uploads/2010/04/ironman_banner.jpg" alt="" width="715" height="220" /></a></p>
<p>Rich Internet Applications, a term coined by Macromedia (now owned by Adobe), is where the whole Web-based user experience is at.  At the forefront of <a href="http://en.wikipedia.org/wiki/List_of_rich_internet_application_frameworks" target="_self" onclick="urchinTracker('/outgoing/en.wikipedia.org/wiki/List_of_rich_internet_application_frameworks?referer=');">RIA technologies</a> you have Adobe AIR, Adobe Flex, Microsoft Silverlight and of course AJAX.   Here&#8230;</p>]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.openframeworks.com/wp-content/uploads/2010/04/ironman_banner.jpg"><img class="aligncenter size-full wp-image-187" title="ironman_banner" src="http://www.openframeworks.com/wp-content/uploads/2010/04/ironman_banner.jpg" alt="" width="715" height="220" /></a></p>
<p>Rich Internet Applications, a term coined by Macromedia (now owned by Adobe), is where the whole Web-based user experience is at.  At the forefront of <a href="http://en.wikipedia.org/wiki/List_of_rich_internet_application_frameworks" target="_self" onclick="urchinTracker('/outgoing/en.wikipedia.org/wiki/List_of_rich_internet_application_frameworks?referer=');">RIA technologies</a> you have Adobe AIR, Adobe Flex, Microsoft Silverlight and of course AJAX.   Here is a good site for all you UI specialists out there&#8230;   I&#8217;m sure there are more, but I particularly liked this one because of this <a href="http://www.uiresourcecenter.com/user-interface-design/articles/inside-iron-man.html?s=1_1" onclick="urchinTracker('/outgoing/www.uiresourcecenter.com/user-interface-design/articles/inside-iron-man.html?s=1_1&amp;referer=');">article.</a></p>
<p>Anyway here is the link:  <a href="http://www.uiresourcecenter.com/index.html" onclick="urchinTracker('/outgoing/www.uiresourcecenter.com/index.html?referer=');">http://www.uiresourcecenter.com/index.html</a></p>
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		<item>
		<title>SEO</title>
		<link>http://www.openframeworks.com/uncategorized/seo/</link>
		<comments>http://www.openframeworks.com/uncategorized/seo/#comments</comments>
		<pubDate>Wed, 16 Sep 2009 09:56:02 +0000</pubDate>
		<dc:creator><span property="dc:creator" resource="http://www.openframeworks.com/uncategorized/seo/">Kai</span></dc:creator>
				<category><![CDATA[SEO]]></category>
		<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Google]]></category>
		<category><![CDATA[Markov]]></category>
		<category><![CDATA[PageRank]]></category>

		<guid isPermaLink="false">http://www.openframeworks.com/?p=40</guid>
		<description><![CDATA[<p>The <a title="PageRank" href="http://en.wikipedia.org/wiki/PageRank" onclick="urchinTracker('/outgoing/en.wikipedia.org/wiki/PageRank?referer=');">PageRank</a> of a webpage as used by <a title="Google" href="http://en.wikipedia.org/wiki/Google" onclick="urchinTracker('/outgoing/en.wikipedia.org/wiki/Google?referer=');">Google</a> is defined by a Markov chain. It is the probability to be at page <span><em>i</em></span> in the stationary distribution on the following Markov chain on all (known) webpages. If <span><em>N</em></span> is the number of known webpages,&#8230;</p>]]></description>
			<content:encoded><![CDATA[<p>The <a title="PageRank" href="http://en.wikipedia.org/wiki/PageRank" onclick="urchinTracker('/outgoing/en.wikipedia.org/wiki/PageRank?referer=');">PageRank</a> of a webpage as used by <a title="Google" href="http://en.wikipedia.org/wiki/Google" onclick="urchinTracker('/outgoing/en.wikipedia.org/wiki/Google?referer=');">Google</a> is defined by a Markov chain. It is the probability to be at page <span><em>i</em></span> in the stationary distribution on the following Markov chain on all (known) webpages. If <span><em>N</em></span> is the number of known webpages, and a page <span><em>i</em></span> has <span><em>k</em><sub><em>i</em></sub></span> links then it has transition probability <img src="http://upload.wikimedia.org/math/b/e/0/be09039510e71734e7fc4e8c5b24db1e.png" alt="\frac{\alpha}{k_i} + \frac{1-\alpha}{N}" /> for all pages that are linked to and <img src="http://upload.wikimedia.org/math/7/d/d/7dd2fe82b13345c8aa3aaaf477027d55.png" alt="\frac{1-\alpha}{N}" /> for all pages that are not linked to. The parameter <span>α</span> is taken to be about 0.85.</p>
<p>Markov models have also been used to analyze web navigation behavior of users. A user&#8217;s web link transition on a particular website can be modeled using first- or second-order Markov models and can be used to make predictions regarding future navigation and to personalize the web page for an individual user.</p>
<p>Hmm&#8230;  more on this later.</p>
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