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	<title>Comments on: Simhashing in Erlang &#8211; beauty with binary comprehension</title>
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	<link>http://blog.jebu.net/2009/08/simhashing-in-erlang-beauty-with-binary-comprehension/</link>
	<description>thoughts scribbles images from silicon plateau</description>
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		<title>By: Arun Suresh (KuTtZ)</title>
		<link>http://blog.jebu.net/2009/08/simhashing-in-erlang-beauty-with-binary-comprehension/comment-page-1/#comment-93</link>
		<dc:creator>Arun Suresh (KuTtZ)</dc:creator>
		<pubDate>Mon, 24 Aug 2009 06:58:16 +0000</pubDate>
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		<description>Pretty cool... would be interesting to know the actually clubbing process in &lt;a href=&quot;http://nowwhat.in&quot; rel=&quot;nofollow&quot;&gt;http://nowwhat.in&lt;/a&gt; as well.. I assume u maintain a corpus of X fingerprints.. and every new topic from the the streaming API is simhashed and compared (using hamming distance) with the existing X fingerprints.. if near-match, increase size of topic font..&lt;br&gt;great idea...</description>
		<content:encoded><![CDATA[<p>Pretty cool&#8230; would be interesting to know the actually clubbing process in <a href="http://nowwhat.in" rel="nofollow">http://nowwhat.in</a> as well.. I assume u maintain a corpus of X fingerprints.. and every new topic from the the streaming API is simhashed and compared (using hamming distance) with the existing X fingerprints.. if near-match, increase size of topic font..<br />great idea&#8230;</p>
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		<title>By: Arun Suresh (KuTtZ)</title>
		<link>http://blog.jebu.net/2009/08/simhashing-in-erlang-beauty-with-binary-comprehension/comment-page-1/#comment-76</link>
		<dc:creator>Arun Suresh (KuTtZ)</dc:creator>
		<pubDate>Mon, 24 Aug 2009 02:58:16 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jebu.net/?p=61#comment-76</guid>
		<description>Pretty cool... would be interesting to know the actually clubbing process in &lt;a href=&quot;http://nowwhat.in&quot; rel=&quot;nofollow&quot;&gt;http://nowwhat.in&lt;/a&gt; as well.. I assume u maintain a corpus of X fingerprints.. and every new topic from the the streaming API is simhashed and compared (using hamming distance) with the existing X fingerprints.. if near-match, increase size of topic font..&lt;br&gt;great idea...</description>
		<content:encoded><![CDATA[<p>Pretty cool&#8230; would be interesting to know the actually clubbing process in <a href="http://nowwhat.in" rel="nofollow">http://nowwhat.in</a> as well.. I assume u maintain a corpus of X fingerprints.. and every new topic from the the streaming API is simhashed and compared (using hamming distance) with the existing X fingerprints.. if near-match, increase size of topic font..<br />great idea&#8230;</p>
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		<title>By: Harish Mallipeddi</title>
		<link>http://blog.jebu.net/2009/08/simhashing-in-erlang-beauty-with-binary-comprehension/comment-page-1/#comment-75</link>
		<dc:creator>Harish Mallipeddi</dc:creator>
		<pubDate>Sun, 23 Aug 2009 09:59:12 +0000</pubDate>
		<guid isPermaLink="false">http://blog.jebu.net/?p=61#comment-75</guid>
		<description>Hearing about Simhashing for the first time. Interesting idea.</description>
		<content:encoded><![CDATA[<p>Hearing about Simhashing for the first time. Interesting idea.</p>
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