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	<title>Comments on: &#8230;one of the chief values of print library research is poor indexing</title>
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	<link>http://henry.simon.net.nz/stories/2008/07/19/one-of-the-chief-values-of-print-library-research-is-poor-indexing/</link>
	<description>cultural evolution news</description>
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		<title>By: Simon Greenhill</title>
		<link>http://henry.simon.net.nz/stories/2008/07/19/one-of-the-chief-values-of-print-library-research-is-poor-indexing/comment-page-1/#comment-178</link>
		<dc:creator>Simon Greenhill</dc:creator>
		<pubDate>Tue, 29 Jul 2008 11:12:12 +0000</pubDate>
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		<description>Hi Frank, and thanks for the comment.

I have to admit that I often avoid going to the library to get things precisely because I know that I&#039;ll end up browsing and come back with 10 times as many books as I went for (that I&#039;ll never have time to read)!

I know that the &quot;loose&quot; searching/recommendation area is one that&#039;s undergoing a lot of research. Amazon.com for example recommends products similar to the one you&#039;re looking at. Companies like Amazon are looking into these because of the marketing potential.

Some of the social bookmarking sites like &lt;a href=&quot;http://reddit.com&quot; rel=&quot;nofollow&quot;&gt;reddit&lt;/a&gt; do something similar - they recommend links to you based on your history. As I understand it, they track that you like articles x and y. Now, if other users who liked x and y, also like z, then you probably would like z too.

So - lots of potential, and I really think we&#039;ll see some exciting applications soon. I&#039;m looking forward to it.

--Simon</description>
		<content:encoded><![CDATA[<p>Hi Frank, and thanks for the comment.</p>
<p>I have to admit that I often avoid going to the library to get things precisely because I know that I&#8217;ll end up browsing and come back with 10 times as many books as I went for (that I&#8217;ll never have time to read)!</p>
<p>I know that the &#8220;loose&#8221; searching/recommendation area is one that&#8217;s undergoing a lot of research. Amazon.com for example recommends products similar to the one you&#8217;re looking at. Companies like Amazon are looking into these because of the marketing potential.</p>
<p>Some of the social bookmarking sites like <a href="http://reddit.com" rel="nofollow">reddit</a> do something similar &#8211; they recommend links to you based on your history. As I understand it, they track that you like articles x and y. Now, if other users who liked x and y, also like z, then you probably would like z too.</p>
<p>So &#8211; lots of potential, and I really think we&#8217;ll see some exciting applications soon. I&#8217;m looking forward to it.</p>
<p>&#8211;Simon</p>
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		<title>By: Frank</title>
		<link>http://henry.simon.net.nz/stories/2008/07/19/one-of-the-chief-values-of-print-library-research-is-poor-indexing/comment-page-1/#comment-177</link>
		<dc:creator>Frank</dc:creator>
		<pubDate>Tue, 29 Jul 2008 03:22:39 +0000</pubDate>
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		<description>One of my favorite things to do when I am starting research on a topic is to stack surf for interesting and somewhat related books that the computer database missed. I would love to find a way to create a computer database which would specifically do &quot;loose&quot; searches for articles/books that are only tangentially related (maybe topic-unrelated articles by the same authors, stuff published in the same issue of the journal, etc.)</description>
		<content:encoded><![CDATA[<p>One of my favorite things to do when I am starting research on a topic is to stack surf for interesting and somewhat related books that the computer database missed. I would love to find a way to create a computer database which would specifically do &#8220;loose&#8221; searches for articles/books that are only tangentially related (maybe topic-unrelated articles by the same authors, stuff published in the same issue of the journal, etc.)</p>
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