<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	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/"
		>
<channel>
	<title>Comments on: drowning in data</title>
	<atom:link href="http://imprompt.us/2004/drowning-in-data/feed/" rel="self" type="application/rss+xml" />
	<link>http://imprompt.us/2004/drowning-in-data/</link>
	<description>Computer Science and Teaching and Other Ancillary Things</description>
	<lastBuildDate>Sat, 24 Jul 2010 12:23:13 +0000</lastBuildDate>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.0</generator>
	<item>
		<title>By: Paul_Berry</title>
		<link>http://imprompt.us/2004/drowning-in-data/comment-page-1/#comment-63</link>
		<dc:creator>Paul_Berry</dc:creator>
		<pubDate>Tue, 30 Nov 1999 00:00:00 +0000</pubDate>
		<guid isPermaLink="false">http://imprompt.us/2004/drowning-in-data/#comment-63</guid>
		<description>&lt;p&gt;I get really excited about computer technologies that attempt to filter information by taking advantage of the vast number of minds taking part in the internet.  Google is one such example (part of its algorithm for finding relevant web pages is based on the implicit approval that people bestow on web pages by linking to them).  The slashdot moderation system is another (it finds interesting/funny/useful comments by aggregating the opinions of thousands of readers).  Another example is Amazon.com&#039;s &quot;customers who bought this title also bought&quot; feature (it uses the buying habits of many users to make a recommendation that&#039;s personally relevant to a single person).&lt;/p&gt;</description>
		<content:encoded><![CDATA[<p>I get really excited about computer technologies that attempt to filter information by taking advantage of the vast number of minds taking part in the internet.  Google is one such example (part of its algorithm for finding relevant web pages is based on the implicit approval that people bestow on web pages by linking to them).  The slashdot moderation system is another (it finds interesting/funny/useful comments by aggregating the opinions of thousands of readers).  Another example is Amazon.com&#8217;s &#8220;customers who bought this title also bought&#8221; feature (it uses the buying habits of many users to make a recommendation that&#8217;s personally relevant to a single person).</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: mphair</title>
		<link>http://imprompt.us/2004/drowning-in-data/comment-page-1/#comment-64</link>
		<dc:creator>mphair</dc:creator>
		<pubDate>Tue, 30 Nov 1999 00:00:00 +0000</pubDate>
		<guid isPermaLink="false">http://imprompt.us/2004/drowning-in-data/#comment-64</guid>
		<description>&lt;p&gt;http://haystack.lcs.mit.edu/home.html&lt;/p&gt;&lt;p&gt;MIT had something going with Haystack, but it looks like they havent touched it in awhile, and it is slower than... well, slow.&lt;/p&gt;</description>
		<content:encoded><![CDATA[<p><a href="http://haystack.lcs.mit.edu/home.html" rel="nofollow">http://haystack.lcs.mit.edu/home.html</a></p>
<p>MIT had something going with Haystack, but it looks like they havent touched it in awhile, and it is slower than&#8230; well, slow.</p>
]]></content:encoded>
	</item>
</channel>
</rss>
