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	<title>code zen &#187; Algorithms</title>
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	<link>http://www.arpitonline.com/blog</link>
	<description>"I write pretty software"</description>
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		<title>Visualize Digg data in treemaps : 2 (now with pretty power)</title>
		<link>http://www.arpitonline.com/blog/2007/04/17/visualize-digg-data-in-treemaps-2-now-with-pretty-power/</link>
		<comments>http://www.arpitonline.com/blog/2007/04/17/visualize-digg-data-in-treemaps-2-now-with-pretty-power/#comments</comments>
		<pubDate>Tue, 17 Apr 2007 22:51:13 +0000</pubDate>
		<dc:creator>arpit</dc:creator>
				<category><![CDATA[Algorithms]]></category>
		<category><![CDATA[Flash]]></category>
		<category><![CDATA[Flex]]></category>

		<guid isPermaLink="false">http://www.arpitonline.com/blog/?p=56</guid>
		<description><![CDATA[I have finally finished my Digg Treemap application. The application is called DiggGraphr (couldnt call it DiggMapper since everyone expected a yahoo map to come up at some time). Anyway here it is in all its glory.
The application was developed in Flex since I am porting my treemap classes to Flex right now. However the [...]]]></description>
			<content:encoded><![CDATA[<div class="tweetmeme_button" style="float: left; margin-right: 20px;"><a href="http://api.tweetmeme.com/share?url=http%3A%2F%2Fwww.arpitonline.com%2Fblog%2F2007%2F04%2F17%2Fvisualize-digg-data-in-treemaps-2-now-with-pretty-power%2F"><img src="http://api.tweetmeme.com/imagebutton.gif?url=http%3A%2F%2Fwww.arpitonline.com%2Fblog%2F2007%2F04%2F17%2Fvisualize-digg-data-in-treemaps-2-now-with-pretty-power%2F" height="61" width="51" /></a></div><p>I have finally finished my Digg Treemap application. The application is called DiggGraphr (couldnt call it DiggMapper since everyone expected a yahoo map to come up at some time). Anyway <a href="http://www.arpitonline.com/diggGraphr/">here it is</a> in all its glory.<br />
The application was developed in Flex since I am porting my treemap classes to Flex right now. However the core logic is still the same as my earlier As3 implementation.<br />
You can right click to choose which page you want to go to (Digg or source). You can also click on the channels button to choose a particular channel you want to read. Drag the slider around to change the number of stories you want to see in the containers.</p>
<p>This application will die soon since today Digg clamped its api behind a application id and I dont have one yet. But before it dies, do Digg it if you like it. </p>
<p>Link: <a href="http://www.arpitonline.com/diggGraphr/">DiggGraphr</a></p>
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		<title>Recommendation Systems</title>
		<link>http://www.arpitonline.com/blog/2007/01/16/recommendation-systems/</link>
		<comments>http://www.arpitonline.com/blog/2007/01/16/recommendation-systems/#comments</comments>
		<pubDate>Wed, 17 Jan 2007 05:13:39 +0000</pubDate>
		<dc:creator>arpit</dc:creator>
				<category><![CDATA[Algorithms]]></category>

		<guid isPermaLink="false">http://www.arpitonline.com/blog/?p=39</guid>
		<description><![CDATA[Of late, I have started reading quite a bit on Recommendation Systems and I came accross this interesting paper on the topic. The cool thing is that it talks about virtual co.mmunities based on recommendation systems (I am sure Amazon uses a similar algorithm, since this seems pretty common sense).
On a side note, the paper [...]]]></description>
			<content:encoded><![CDATA[<div class="tweetmeme_button" style="float: left; margin-right: 20px;"><a href="http://api.tweetmeme.com/share?url=http%3A%2F%2Fwww.arpitonline.com%2Fblog%2F2007%2F01%2F16%2Frecommendation-systems%2F"><img src="http://api.tweetmeme.com/imagebutton.gif?url=http%3A%2F%2Fwww.arpitonline.com%2Fblog%2F2007%2F01%2F16%2Frecommendation-systems%2F" height="61" width="51" /></a></div><p>Of late, I have started reading quite a bit on Recommendation Systems and I came accross <a href="http://www.ics.forth.gr/isl/publications/paperlink/caiseforum-pp03.pdf">this interesting paper</a> on the topic. The cool thing is that it talks about virtual co.mmunities based on recommendation systems (I am sure Amazon uses a similar algorithm, since this seems pretty common sense).</p>
<p>On a side note, the paper did lead me to finding out what a <a href="http://davidmlane.com/hyperstat/A34739.html">Pearson&#8217;s Correlation</a> is. Pretty neat. Further links on this entry as I come across &#8216;em</p>
<p>Links:<br />
<a href="http://www.cs.utexas.edu/users/ml/papers/cbcf-aaai-02.pdf">Content-Boosted Collaborative Filtering</a><br />
<a href="http://jamesthornton.com/cf/">Bunch o&#8217; papers </a></p>
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