<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Xavier Llorà &#187; google analytics</title>
	<atom:link href="http://www.xavierllora.net/tag/google-analytics/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.xavierllora.net</link>
	<description>A notebook on data-intensive computing, genetics-based machine learning &#38; more.</description>
	<lastBuildDate>Sun, 08 Jan 2012 19:39:15 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
		<item>
		<title>Google analytics as a website optimization tool</title>
		<link>http://www.xavierllora.net/2008/05/19/google-analytics-as-a-website-optimization-tool/</link>
		<comments>http://www.xavierllora.net/2008/05/19/google-analytics-as-a-website-optimization-tool/#comments</comments>
		<pubDate>Mon, 19 May 2008 13:35:14 +0000</pubDate>
		<dc:creator>Xavier</dc:creator>
				<category><![CDATA[Notes]]></category>
		<category><![CDATA[discus project]]></category>
		<category><![CDATA[google analytics]]></category>
		<category><![CDATA[interactive genetic algorithms]]></category>

		<guid isPermaLink="false">http://www.xavierllora.net/?p=221</guid>
		<description><![CDATA[Interesting twist using Google Analytics to do site optimization. The interesting part is the shift of mentality. Instead of scratching your head going for the best, why not put a bunch out there and using as a row data for the next generation. Sounds familiar? Yes, they will not mention it, but it heavily uses [...]
Related posts:<ol>
<li><a href='http://www.xavierllora.net/2006/07/07/analyzing-active-interactive-genetic-algorithms-using-visual-analytics/' rel='bookmark' title='Analyzing active interactive genetic algorithms using visual analytics'>Analyzing active interactive genetic algorithms using visual analytics</a></li>
<li><a href='http://www.xavierllora.net/2007/01/18/toward-routine-billion-variable-optimization-using-genetic-algorithms/' rel='bookmark' title='Toward routine billion-variable optimization using genetic algorithms'>Toward routine billion-variable optimization using genetic algorithms</a></li>
<li><a href='http://www.xavierllora.net/2007/07/18/google-notebook/' rel='bookmark' title='Google Notebook'>Google Notebook</a></li>
</ol>]]></description>
			<content:encoded><![CDATA[<p><object classid="clsid:d27cdb6e-ae6d-11cf-96b8-444553540000" width="425" height="350" codebase="http://download.macromedia.com/pub/shockwave/cabs/flash/swflash.cab#version=6,0,40,0"><param name="src" value="http://www.youtube.com/v/GZlGy2auvFo" /><embed type="application/x-shockwave-flash" width="425" height="350" src="http://www.youtube.com/v/GZlGy2auvFo"></embed></object></p>
<p>Interesting twist using Google Analytics to do site optimization. The interesting part is the shift of mentality. Instead of scratching your head going for the best, why not put a bunch out there and using as a row data for the next generation. Sounds familiar?</p>
<p>Yes, they will not mention it, but it heavily uses a simple evolutionary model. Using they words: you start with a basic set of variations, then you measure, oh you may want to try another set of variants based on the best ones. Yes, definitely evolutionary-based flavor. After going over the presentation, you will be wondering why they do not called interactive genetic algorithm? Well, I do not have the answer, but what I can say is that process can be modeled using an interactive genetic algorithm. <a title="The DISCUS project" href="http://www-discus.ge.uiuc.edu">The DISCUS project</a> has shown that for the last five years. <a title="Active interactive genetic algorithms" href="http://www.xavierllora.net/2005/07/19/combating-user-fatigue-in-igas-partial-ordering-support-vector-machines-and-synthetic-fitness/">An introductory paper about how interactive genetic algorithms</a> can help with such kind of modeling can be found <a title="Active interactive genetic algorithms" href="http://www.xavierllora.net/2005/07/19/combating-user-fatigue-in-igas-partial-ordering-support-vector-machines-and-synthetic-fitness/">here</a>.</p>
<p>Related posts:<ol>
<li><a href='http://www.xavierllora.net/2006/07/07/analyzing-active-interactive-genetic-algorithms-using-visual-analytics/' rel='bookmark' title='Analyzing active interactive genetic algorithms using visual analytics'>Analyzing active interactive genetic algorithms using visual analytics</a></li>
<li><a href='http://www.xavierllora.net/2007/01/18/toward-routine-billion-variable-optimization-using-genetic-algorithms/' rel='bookmark' title='Toward routine billion-variable optimization using genetic algorithms'>Toward routine billion-variable optimization using genetic algorithms</a></li>
<li><a href='http://www.xavierllora.net/2007/07/18/google-notebook/' rel='bookmark' title='Google Notebook'>Google Notebook</a></li>
</ol></p>]]></content:encoded>
			<wfw:commentRss>http://www.xavierllora.net/2008/05/19/google-analytics-as-a-website-optimization-tool/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
	</channel>
</rss>

