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	<title>Comments on: Amazon and Netflix, great together, but not why you might think</title>
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	<description>A business manifesto for cutting costs and boosting innovation</description>
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		<title>By: Ric Merrifield</title>
		<link>http://ricmerrifield.com/2010/02/amazon-and-netflix-great-together-but-not-why-you-might-think/#comment-100</link>
		<dc:creator>Ric Merrifield</dc:creator>
		<pubDate>Wed, 03 Feb 2010 20:35:54 +0000</pubDate>
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		<description>Well buying a successful and growing internet business is pretty good gravy to get if your primary goal is a better recommendation engine . . . but I agree, it probably wouldn&#039;t cost $3.22 billion just to buy that, but with time value of money, who knows how long it would take to get as far as NFLX has gotten with it.</description>
		<content:encoded><![CDATA[<p>Well buying a successful and growing internet business is pretty good gravy to get if your primary goal is a better recommendation engine . . . but I agree, it probably wouldn&#8217;t cost $3.22 billion just to buy that, but with time value of money, who knows how long it would take to get as far as NFLX has gotten with it.</p>
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		<title>By: Gary Manfredi</title>
		<link>http://ricmerrifield.com/2010/02/amazon-and-netflix-great-together-but-not-why-you-might-think/#comment-99</link>
		<dc:creator>Gary Manfredi</dc:creator>
		<pubDate>Tue, 02 Feb 2010 01:48:27 +0000</pubDate>
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		<description>Or they could just acquire better recommendation technology without spending $3.22 billion.

Regarding the recommendations on the item pages, they employ &quot;item-based collaborative filtering&quot; to associate items to items without actually taking in your particular history (there&#039;s lots of reasons to for this, one of them is performance over creating a new recommendation set for every single visitor looking at that page).

Yet in their &quot;recommendations just for you&quot; section: https://www.amazon.com/gp/yourstore, they do attempt personalized recommendations, but it&#039;s quite shallow and rife with problems that have been reported by others.  I figure the conversion rates are lower using this method to warrant greater integration. 

But thankfully, there&#039;s better recommendation solutions, especially ones for media, using newer technologies.  There&#039;s lots of activity in this space, with us being a new entrant.  So you never know -- they may wake up and employ one of these...  cheers,
Gary</description>
		<content:encoded><![CDATA[<p>Or they could just acquire better recommendation technology without spending $3.22 billion.</p>
<p>Regarding the recommendations on the item pages, they employ &#8220;item-based collaborative filtering&#8221; to associate items to items without actually taking in your particular history (there&#8217;s lots of reasons to for this, one of them is performance over creating a new recommendation set for every single visitor looking at that page).</p>
<p>Yet in their &#8220;recommendations just for you&#8221; section: <a href="https://www.amazon.com/gp/yourstore" rel="nofollow">https://www.amazon.com/gp/yourstore</a>, they do attempt personalized recommendations, but it&#8217;s quite shallow and rife with problems that have been reported by others.  I figure the conversion rates are lower using this method to warrant greater integration. </p>
<p>But thankfully, there&#8217;s better recommendation solutions, especially ones for media, using newer technologies.  There&#8217;s lots of activity in this space, with us being a new entrant.  So you never know &#8212; they may wake up and employ one of these&#8230;  cheers,<br />
Gary</p>
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