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		<title>Flipboard swims against the tide by launching a website</title>
		<link>http://gigaom.com/2015/02/10/flipboard-swims-against-the-tide-by-launching-a-website/</link>
		<comments>http://gigaom.com/2015/02/10/flipboard-swims-against-the-tide-by-launching-a-website/#comments</comments>
		<pubDate>Tue, 10 Feb 2015 18:00:58 +0000</pubDate>
		<dc:creator><![CDATA[Mathew Ingram]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Content]]></category>
		<category><![CDATA[Media]]></category>
		<category><![CDATA[Mobile]]></category>
		<category><![CDATA[publishers]]></category>
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		<description><![CDATA[While most media companies are moving from the web to focus on mobile, Flipboard is doing the opposite -- having built the app on mobile, it is now launching a web&#8230;]]></description>
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		<slash:comments>5</slash:comments>
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		<title>Pinterest bought Kosei because recommendations are really hard</title>
		<link>https://gigaom.com/2015/01/21/pinterest-bought-kosei-because-recommendations-are-really-hard/</link>
		<comments>https://gigaom.com/2015/01/21/pinterest-bought-kosei-because-recommendations-are-really-hard/#comments</comments>
		<pubDate>Wed, 21 Jan 2015 19:11:37 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[graph processing]]></category>
		<category><![CDATA[interest graphs]]></category>
		<category><![CDATA[machine learning]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AMZN]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=908497</guid>
		<description><![CDATA[Pinterest announced Wednesday that it has acquired Kosei, a Palo Alto, California-based startup that focuses on machine learning for product recommendations. It's a smart buy for Pinterest because the company's path to&#8230;]]></description>
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		<slash:comments>0</slash:comments>
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		<title>With 100M users, Truecaller starts making call suggestions</title>
		<link>https://gigaom.com/2014/12/03/with-100m-users-truecaller-starts-making-call-suggestions/</link>
		<comments>https://gigaom.com/2014/12/03/with-100m-users-truecaller-starts-making-call-suggestions/#comments</comments>
		<pubDate>Wed, 03 Dec 2014 13:10:03 +0000</pubDate>
		<dc:creator><![CDATA[David Meyer]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Call prediction]]></category>
		<category><![CDATA[forecasts]]></category>
		<category><![CDATA[predictions]]></category>
		<category><![CDATA[sweden]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AAPL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:BBRY]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=897703</guid>
		<description><![CDATA[The well-funded Swedish app is now using algorithms to suggest who its users should call, based on their call history, as well as time and place.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/12/03/with-100m-users-truecaller-starts-making-call-suggestions/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<title>This car gadget links your smoking engine to the right mechanic</title>
		<link>https://gigaom.com/2014/11/25/this-car-gadget-links-your-smoking-engine-to-the-right-mechanic/</link>
		<comments>https://gigaom.com/2014/11/25/this-car-gadget-links-your-smoking-engine-to-the-right-mechanic/#comments</comments>
		<pubDate>Tue, 25 Nov 2014 19:07:16 +0000</pubDate>
		<dc:creator><![CDATA[Kevin Fitchard]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[check engine light]]></category>
		<category><![CDATA[Mechanics]]></category>
		<category><![CDATA[OBD codes]]></category>
		<category><![CDATA[quantified car]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=896185</guid>
		<description><![CDATA[Mechanic Advisor is launching its own connected car device that plugs into your vehicle's on-board diagnostic port and helps you interpret that scary check engine light when it starts blinking on&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/25/this-car-gadget-links-your-smoking-engine-to-the-right-mechanic/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
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		<title>Why technology and content are inseparable at Netflix</title>
		<link>https://gigaom.com/2014/11/22/why-technology-and-content-are-inseparable-at-netflix/</link>
		<comments>https://gigaom.com/2014/11/22/why-technology-and-content-are-inseparable-at-netflix/#comments</comments>
		<pubDate>Sat, 22 Nov 2014 16:00:34 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[cloud outage]]></category>
		<category><![CDATA[data science]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:NFLX]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:NFLX]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=890751</guid>
		<description><![CDATA[Netflix Chief Product Officer Neil Hunt spoke with Gigaom about how important data science and cloud computing are to the company's business, as well as why the internet is the perfect&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/22/why-technology-and-content-are-inseparable-at-netflix/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
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		<title>Slashdot founder Rob Malda on Trove and fixing the problem with Twitter</title>
		<link>https://gigaom.com/2014/11/12/slashdot-founder-rob-malda-on-trove-and-fixing-the-problem-with-twitter/</link>
		<comments>https://gigaom.com/2014/11/12/slashdot-founder-rob-malda-on-trove-and-fixing-the-problem-with-twitter/#comments</comments>
		<pubDate>Wed, 12 Nov 2014 20:42:51 +0000</pubDate>
		<dc:creator><![CDATA[Mathew Ingram]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Content]]></category>
		<category><![CDATA[Media]]></category>
		<category><![CDATA[Trove]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:WPO]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=888479</guid>
		<description><![CDATA[Trove, the content-recommendation platform that the Graham family held onto when they sold the Washington Post, is trying to build something that combines the best qualities of Twitter, Facebook and RSS&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/12/slashdot-founder-rob-malda-on-trove-and-fixing-the-problem-with-twitter/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<title>Twitter teases a bunch of new product features, including new apps and algorithmic filters</title>
		<link>https://gigaom.com/2014/11/12/twitter-teases-a-bunch-of-new-product-features-including-new-apps-and-algorithmic-filters/</link>
		<comments>https://gigaom.com/2014/11/12/twitter-teases-a-bunch-of-new-product-features-including-new-apps-and-algorithmic-filters/#comments</comments>
		<pubDate>Wed, 12 Nov 2014 19:46:56 +0000</pubDate>
		<dc:creator><![CDATA[Carmel DeAmicis]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[analyst call]]></category>
		<category><![CDATA[curated]]></category>
		<category><![CDATA[instant timelines]]></category>
		<category><![CDATA[interest picker]]></category>
		<category><![CDATA[live events]]></category>
		<category><![CDATA[location]]></category>
		<category><![CDATA[messaging]]></category>
		<category><![CDATA[previews]]></category>
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		<category><![CDATA[real-time web]]></category>
		<category><![CDATA[recommended]]></category>
		<category><![CDATA[timeline]]></category>
		<category><![CDATA[while you were away]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=888341</guid>
		<description><![CDATA[Today on Twitter's first ever analyst call, the company previewed a massive range of products it's developing. Here's a rundown on the most important features.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/12/twitter-teases-a-bunch-of-new-product-features-including-new-apps-and-algorithmic-filters/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<title>Netflix spends $150 million on content recommendations every year</title>
		<link>https://gigaom.com/2014/10/09/netflix-spends-150-million-on-content-recommendations-every-year/</link>
		<comments>https://gigaom.com/2014/10/09/netflix-spends-150-million-on-content-recommendations-every-year/#comments</comments>
		<pubDate>Thu, 09 Oct 2014 21:17:38 +0000</pubDate>
		<dc:creator><![CDATA[Janko Roettgers]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[content recommendations]]></category>
		<category><![CDATA[France]]></category>
		<category><![CDATA[Neil Hunt]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:NFLX]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:NFLX]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=879786</guid>
		<description><![CDATA[French regulators wanted to check Netflix's recommendation algorithms for any possible U.S. bias -- but the company's Chief Product Officer actually believes that algorithms can help democratize culture.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/10/09/netflix-spends-150-million-on-content-recommendations-every-year/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Twitter open sourced a recommendation algorithm for massive datasets</title>
		<link>https://gigaom.com/2014/09/24/twitter-open-sourced-a-recommendation-algorithm-for-massive-datasets/</link>
		<comments>https://gigaom.com/2014/09/24/twitter-open-sourced-a-recommendation-algorithm-for-massive-datasets/#comments</comments>
		<pubDate>Wed, 24 Sep 2014 19:52:37 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[open source]]></category>
		<category><![CDATA[recommendation systems]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=875725</guid>
		<description><![CDATA[Twitter recently open sourced an algorithm designed to ease the process of running recommendation engines at large scale. Called DIMSUM, the algorithm pre-processes pairs of possible matches so the other algorithms&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/09/24/twitter-open-sourced-a-recommendation-algorithm-for-massive-datasets/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Startup claims it&#8217;s revolutionizing personalization with deep learning</title>
		<link>https://gigaom.com/2014/07/30/startup-claims-its-revolutionizing-personalization-with-deep-learning/</link>
		<comments>https://gigaom.com/2014/07/30/startup-claims-its-revolutionizing-personalization-with-deep-learning/#comments</comments>
		<pubDate>Wed, 30 Jul 2014 21:09:29 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=861538</guid>
		<description><![CDATA[A Cambridge, Massachusetts, startup called Nara has released a service the company claims use "deep learning artificial intelligence" to improve online personalization. Essentially, the technology works by scouring customer databases and the web,&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/07/30/startup-claims-its-revolutionizing-personalization-with-deep-learning/feed/</wfw:commentRss>
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