<?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: Strands Launches Plug-and-Play Recommendation Engine for eCommerce and Media</title>
	<atom:link href="http://blog.strands.com/2008/06/10/strands-launches-plug-and-play-recommendation-engine-for-ecommerce-and-media/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.strands.com/2008/06/10/strands-launches-plug-and-play-recommendation-engine-for-ecommerce-and-media/</link>
	<description>Strands Weblog</description>
	<pubDate>Tue, 06 Jan 2009 18:22:52 +0000</pubDate>
	<generator>http://wordpress.org/?v=2.7</generator>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
		<item>
		<title>By: Silicon Florist&#8217;s links arrangement for June 10 &#187; Silicon Florist</title>
		<link>http://blog.strands.com/2008/06/10/strands-launches-plug-and-play-recommendation-engine-for-ecommerce-and-media/comment-page-1/#comment-16324</link>
		<dc:creator>Silicon Florist&#8217;s links arrangement for June 10 &#187; Silicon Florist</dc:creator>
		<pubDate>Wed, 11 Jun 2008 07:02:03 +0000</pubDate>
		<guid isPermaLink="false">http://blog.strands.com/?p=797#comment-16324</guid>
		<description>[...] Strands Launches Plug-and-Play Recommendation Engine for eCommerce and Media From the Strands blog &#8220;The Strands Social Recommender can be easily installed through the Strands API or by adding personalization widgets to a retailer’s site, and can be up and running in as little as 30 minutes. More than 100 online businesses have piloted the Strands Social Recommender, with many customers seeing a significant increase in sales.&#8221; [...]</description>
		<content:encoded><![CDATA[<p>[...] Strands Launches Plug-and-Play Recommendation Engine for eCommerce and Media From the Strands blog &#8220;The Strands Social Recommender can be easily installed through the Strands API or by adding personalization widgets to a retailer’s site, and can be up and running in as little as 30 minutes. More than 100 online businesses have piloted the Strands Social Recommender, with many customers seeing a significant increase in sales.&#8221; [...]</p>
]]></content:encoded>
	</item>
</channel>
</rss>
