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	<title>Comments on: A reading list on PageRank and search algorithms</title>
	<atom:link href="http://www.hojohnlee.com/weblog/archives/2005/12/01/a-reading-list-on-pagerank-and-search-algorithms/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.hojohnlee.com/weblog/archives/2005/12/01/a-reading-list-on-pagerank-and-search-algorithms/</link>
	<description>Living at the intersection of technology, finance, culture, and markets</description>
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		<title>By: Information mining the social way &#171; Venture Skills Blog</title>
		<link>http://www.hojohnlee.com/weblog/archives/2005/12/01/a-reading-list-on-pagerank-and-search-algorithms/comment-page-1/#comment-131059</link>
		<dc:creator>Information mining the social way &#171; Venture Skills Blog</dc:creator>
		<pubDate>Fri, 13 Oct 2006 10:06:49 +0000</pubDate>
		<guid isPermaLink="false">http://www.hojohnlee.com/weblog/?p=461#comment-131059</guid>
		<description>[...] We all know the principle of search engines like Google and if you don&#8217;t there are plenty of articles on the mechanics of the web from Ho John Lee&#8217;s site though they are a bit technical you could also crawl through my de.icio.us accounts search tag and SEO tag. Search engines allow us to search through vast quantities of known links which are picked up either by users submitting those links or through a bot finding them, and while the page ranking system and similar algorithms used by the search engines are very clever they can not guarantee the content of the site. This became a problem in the late nineties as more and more link farms appeared in the search engines listings. Around the time the search engines developed managed directories also appeared including DMOZ these directories were maintained by humans rather then bots and often provided more relevant results, but these two were easy to fool principally because most categories only had one or a small group of editors. [...]</description>
		<content:encoded><![CDATA[<p>[...] We all know the principle of search engines like Google and if you don&#8217;t there are plenty of articles on the mechanics of the web from Ho John Lee&#8217;s site though they are a bit technical you could also crawl through my de.icio.us accounts search tag and SEO tag. Search engines allow us to search through vast quantities of known links which are picked up either by users submitting those links or through a bot finding them, and while the page ranking system and similar algorithms used by the search engines are very clever they can not guarantee the content of the site. This became a problem in the late nineties as more and more link farms appeared in the search engines listings. Around the time the search engines developed managed directories also appeared including DMOZ these directories were maintained by humans rather then bots and often provided more relevant results, but these two were easy to fool principally because most categories only had one or a small group of editors. [...]</p>
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		<title>By: Ho John Lee's Weblog</title>
		<link>http://www.hojohnlee.com/weblog/archives/2005/12/01/a-reading-list-on-pagerank-and-search-algorithms/comment-page-1/#comment-611</link>
		<dc:creator>Ho John Lee's Weblog</dc:creator>
		<pubDate>Thu, 22 Dec 2005 23:32:22 +0000</pubDate>
		<guid isPermaLink="false">http://www.hojohnlee.com/weblog/?p=461#comment-611</guid>
		<description>&lt;strong&gt;Why Link Farms (used to) Work&lt;/strong&gt;

	I tripped over a reference to an interesting paper on PageRank hacking while looking at some unrelated rumors at Ian McAllister&#8217;s blog. The undated paper is titled &#8220;Faults of PageRank / Something is Wrong with Google&#8217;s Mathematical M...</description>
		<content:encoded><![CDATA[<p><strong>Why Link Farms (used to) Work</strong></p>
<p>	I tripped over a reference to an interesting paper on PageRank hacking while looking at some unrelated rumors at Ian McAllister&#8217;s blog. The undated paper is titled &#8220;Faults of PageRank / Something is Wrong with Google&#8217;s Mathematical M&#8230;</p>
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		<title>By: Ho John Lee's Weblog</title>
		<link>http://www.hojohnlee.com/weblog/archives/2005/12/01/a-reading-list-on-pagerank-and-search-algorithms/comment-page-1/#comment-519</link>
		<dc:creator>Ho John Lee's Weblog</dc:creator>
		<pubDate>Mon, 12 Dec 2005 00:20:25 +0000</pubDate>
		<guid isPermaLink="false">http://www.hojohnlee.com/weblog/?p=461#comment-519</guid>
		<description>&lt;strong&gt;Newsweek on white hat and black hat search engine optimization&lt;/strong&gt;

	via Seomoz:
	
This week&#8217;s Newsweek (December 12, 2005) features an article on white hat vs black hat search engine optimization.

	
A &#8220;black hat&#8221; anecdote:
	
Using an illicit software program he downloaded from the Net, he forcibly i...</description>
		<content:encoded><![CDATA[<p><strong>Newsweek on white hat and black hat search engine optimization</strong></p>
<p>	via Seomoz:</p>
<p>This week&#8217;s Newsweek (December 12, 2005) features an article on white hat vs black hat search engine optimization.</p>
<p>A &#8220;black hat&#8221; anecdote:</p>
<p>Using an illicit software program he downloaded from the Net, he forcibly i&#8230;</p>
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		<title>By: Someone blog &#187; Blog Archive &#187; Search Engine book review and PageRank algorith</title>
		<link>http://www.hojohnlee.com/weblog/archives/2005/12/01/a-reading-list-on-pagerank-and-search-algorithms/comment-page-1/#comment-517</link>
		<dc:creator>Someone blog &#187; Blog Archive &#187; Search Engine book review and PageRank algorith</dc:creator>
		<pubDate>Sun, 11 Dec 2005 08:51:21 +0000</pubDate>
		<guid isPermaLink="false">http://www.hojohnlee.com/weblog/?p=461#comment-517</guid>
		<description>[...] Ho John Lee’s Weblog » A reading list on PageRank and search algorithms If you’re subscribed to the full feed, you’ll notice I collected some background reading on PageRank, search crawlers, search personalization, and spam detection in the daily links section yesterday. A Compilation Search Technology Book Reviews Want to hack together your own search engine? Curious to dig deeper into data mining? Here&#8217;s a compilation of various search-related book reviews published in SearchDay over the past several years. And here&#8217;s a websites that you should read if you are interested in Search Engine. [...]</description>
		<content:encoded><![CDATA[<p>[...] Ho John Lee’s Weblog » A reading list on PageRank and search algorithms If you’re subscribed to the full feed, you’ll notice I collected some background reading on PageRank, search crawlers, search personalization, and spam detection in the daily links section yesterday. A Compilation Search Technology Book Reviews Want to hack together your own search engine? Curious to dig deeper into data mining? Here&#8217;s a compilation of various search-related book reviews published in SearchDay over the past several years. And here&#8217;s a websites that you should read if you are interested in Search Engine. [...]</p>
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		<title>By: Brian</title>
		<link>http://www.hojohnlee.com/weblog/archives/2005/12/01/a-reading-list-on-pagerank-and-search-algorithms/comment-page-1/#comment-515</link>
		<dc:creator>Brian</dc:creator>
		<pubDate>Sat, 10 Dec 2005 19:43:40 +0000</pubDate>
		<guid isPermaLink="false">http://www.hojohnlee.com/weblog/?p=461#comment-515</guid>
		<description>It&#039;s only a small list, though - there are plenty more patents to reference. :)</description>
		<content:encoded><![CDATA[<p>It&#8217;s only a small list, though &#8211; there are plenty more patents to reference. <img src='http://www.hojohnlee.com/weblog/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
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		<title>By: Referencement Google WebRankInfo</title>
		<link>http://www.hojohnlee.com/weblog/archives/2005/12/01/a-reading-list-on-pagerank-and-search-algorithms/comment-page-1/#comment-504</link>
		<dc:creator>Referencement Google WebRankInfo</dc:creator>
		<pubDate>Fri, 09 Dec 2005 09:06:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.hojohnlee.com/weblog/?p=461#comment-504</guid>
		<description>&lt;strong&gt;Articles de R et D sur le PageRank, le SpamRank et le spam...&lt;/strong&gt;

Ho John Lee résume quelques récents articles intéressants :


Deeper Inside PageRank (PDF) : un article d&#039;Amy N. Langville et Carl D. Meyer très complet sur le PageRank (46 pages). Attention, grosse dose de mathématiques assurée...
Online...</description>
		<content:encoded><![CDATA[<p><strong>Articles de R et D sur le PageRank, le SpamRank et le spam&#8230;</strong></p>
<p>Ho John Lee résume quelques récents articles intéressants :</p>
<p>Deeper Inside PageRank (PDF) : un article d&#8217;Amy N. Langville et Carl D. Meyer très complet sur le PageRank (46 pages). Attention, grosse dose de mathématiques assurée&#8230;<br />
Online&#8230;</p>
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		<title>By: Ho John Lee's Weblog</title>
		<link>http://www.hojohnlee.com/weblog/archives/2005/12/01/a-reading-list-on-pagerank-and-search-algorithms/comment-page-1/#comment-493</link>
		<dc:creator>Ho John Lee's Weblog</dc:creator>
		<pubDate>Fri, 09 Dec 2005 00:09:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.hojohnlee.com/weblog/?p=461#comment-493</guid>
		<description>&lt;strong&gt;Personalization, Intent, and modifying PageRank calculations&lt;/strong&gt;

	Greg Linden took a look at Langville and Meyer&#8217;s Deeper Inside PageRank, one of the papers on my short PageRank reading list and is looking into some of the same areas I&#8217;ve been thinking about.
	
On the probabilities of transitioning acros...</description>
		<content:encoded><![CDATA[<p><strong>Personalization, Intent, and modifying PageRank calculations</strong></p>
<p>	Greg Linden took a look at Langville and Meyer&#8217;s Deeper Inside PageRank, one of the papers on my short PageRank reading list and is looking into some of the same areas I&#8217;ve been thinking about.</p>
<p>On the probabilities of transitioning acros&#8230;</p>
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