<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	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/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
			xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"
		>

<channel>
	<title>Gigaom Search &#187; graph processing</title>
	<atom:link href="http://search.gigaom.com/tag/graph-processing/feed/" rel="self" type="application/rss+xml" />
	<link>http://search.gigaom.com</link>
	<description>Search and browse the archives</description>
	<lastBuildDate>Wed, 11 Mar 2015 13:08:37 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=4.1</generator>
	<item>
		<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>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:NFLX]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AMZN]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:NFLX]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:LNKD]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:TWTR]]></category>
		
		<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>
		<wfw:commentRss>https://gigaom.com/2015/01/21/pinterest-bought-kosei-because-recommendations-are-really-hard/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Machine learning startup GraphLab raises $18.5M, becomes Dato</title>
		<link>https://gigaom.com/2015/01/08/machine-learning-startup-graphlab-raises-18-5m-becomes-dato/</link>
		<comments>https://gigaom.com/2015/01/08/machine-learning-startup-graphlab-raises-18-5m-becomes-dato/#comments</comments>
		<pubDate>Thu, 08 Jan 2015 15:32:22 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Dato]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[graph processing]]></category>
		<category><![CDATA[GraphLab]]></category>
		<category><![CDATA[machine learning]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=905126</guid>
		<description><![CDATA[GraphLab, a Seattle-based startup trying to make machine learning more accessible, has raised an $18.5 million series B round of venture capital and has changed its name to Dato. The company&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/08/machine-learning-startup-graphlab-raises-18-5m-becomes-dato/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>How Lumiata wants to scale medicine with machine learning and APIs</title>
		<link>https://gigaom.com/2014/01/08/lumiata-does-graph-analysis-for-medical-data-raises-4m-from-khosla/</link>
		<comments>https://gigaom.com/2014/01/08/lumiata-does-graph-analysis-for-medical-data-raises-4m-from-khosla/#comments</comments>
		<pubDate>Wed, 08 Jan 2014 14:00:15 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[graph processing]]></category>
		<category><![CDATA[health data]]></category>
		<category><![CDATA[Lumiata]]></category>
		<category><![CDATA[medical data]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=790142</guid>
		<description><![CDATA[A startup called Lumiata is taking webscale graph analysis like Google and Facebook have perfected and turning it toward personalized health care. As we generate more digital data about research and&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/01/08/lumiata-does-graph-analysis-for-medical-data-raises-4m-from-khosla/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>An API invasion in streaming music has Pandora hoping better data trumps bigger data</title>
		<link>https://gigaom.com/2014/01/07/an-api-invasion-in-streaming-music-has-pandora-hoping-better-data-trumps-bigger-data/</link>
		<comments>https://gigaom.com/2014/01/07/an-api-invasion-in-streaming-music-has-pandora-hoping-better-data-trumps-bigger-data/#comments</comments>
		<pubDate>Tue, 07 Jan 2014 20:24:28 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[153072616]]></category>
		<category><![CDATA[42940971]]></category>
		<category><![CDATA[46197788]]></category>
		<category><![CDATA[graph processing]]></category>
		<category><![CDATA[internet radio]]></category>
		<category><![CDATA[Senzari]]></category>
		<category><![CDATA[streaming radio]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure:Data]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:AAPL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:AAPL]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=788777</guid>
		<description><![CDATA[The streaming music space is heating up thanks to API services that put incredible amounts of music data in the hands of developers who want to build their own streaming services&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/01/07/an-api-invasion-in-streaming-music-has-pandora-hoping-better-data-trumps-bigger-data/feed/</wfw:commentRss>
		<slash:comments>5</slash:comments>
		</item>
		<item>
		<title>Let&#8217;s build a semantic web by creating a Wikipedia for relevancy</title>
		<link>https://gigaom.com/2013/11/24/lets-build-a-semantic-web-by-creating-a-wikipedia-for-relevancy/</link>
		<comments>https://gigaom.com/2013/11/24/lets-build-a-semantic-web-by-creating-a-wikipedia-for-relevancy/#comments</comments>
		<pubDate>Sun, 24 Nov 2013 21:30:32 +0000</pubDate>
		<dc:creator><![CDATA[Guest Column]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[graph analysis]]></category>
		<category><![CDATA[graph processing]]></category>
		<category><![CDATA[NLP]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=718796</guid>
		<description><![CDATA[The relevancy-defining, edge-weighting algorithms of Google’s Knowledge Graph, Facebook’s Open Graph and Gravity’s Interest Ontology are closely guarded company secrets. Imagine if that data was available to everyone -- it would&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/11/24/lets-build-a-semantic-web-by-creating-a-wikipedia-for-relevancy/feed/</wfw:commentRss>
		<slash:comments>11</slash:comments>
		</item>
		<item>
		<title>Tackling some really tough problems with machine learning</title>
		<link>https://gigaom.com/2013/11/13/tackling-some-really-tough-problems-with-machine-learning/</link>
		<comments>https://gigaom.com/2013/11/13/tackling-some-really-tough-problems-with-machine-learning/#comments</comments>
		<pubDate>Wed, 13 Nov 2013 16:04:24 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[graph processing]]></category>
		<category><![CDATA[machine learning]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=715426</guid>
		<description><![CDATA[Machine learning startup Ayasdi has teamed up with Lawrence Livermore National Laboratory, as well as the Texas Medical Center, to help advance data analysis in a variety of complex fields. ]]></description>
		<wfw:commentRss>https://gigaom.com/2013/11/13/tackling-some-really-tough-problems-with-machine-learning/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Teradata Aster now does graph processing</title>
		<link>https://gigaom.com/2013/10/08/teradata-aster-now-does-graph-processing/</link>
		<comments>https://gigaom.com/2013/10/08/teradata-aster-now-does-graph-processing/#comments</comments>
		<pubDate>Tue, 08 Oct 2013 15:53:38 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[graph processing]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=702716</guid>
		<description><![CDATA[Teradata has upped the capabilities of its Teradata Aster big data platform by adding in a native graph-processing engine called SQL-GR. Not a bad idea considering the increased attention around graph&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/10/08/teradata-aster-now-does-graph-processing/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Apache Giraph at Analytics @ Web Scale</title>
		<link>https://gigaom.com/2013/08/23/apache-giraph-at-analytics-web-scale/</link>
		<comments>https://gigaom.com/2013/08/23/apache-giraph-at-analytics-web-scale/#comments</comments>
		<pubDate>Sat, 24 Aug 2013 00:51:26 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Giraph]]></category>
		<category><![CDATA[graph processing]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:FB]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=683373</guid>
		<description><![CDATA[This is a good presentation about Facebook's graph-processing engine, Giraph, from a big data event held at the company's Menlo Park campus in early June. The PRISM story kind of took&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/08/23/apache-giraph-at-analytics-web-scale/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Facebook&#8217;s trillion-edge, Hadoop-based and open source graph-processing engine</title>
		<link>https://gigaom.com/2013/08/14/facebooks-trillion-edge-hadoop-based-graph-processing-engine/</link>
		<comments>https://gigaom.com/2013/08/14/facebooks-trillion-edge-hadoop-based-graph-processing-engine/#comments</comments>
		<pubDate>Wed, 14 Aug 2013 21:54:29 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[graph processing]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:FB]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:FB]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=679884</guid>
		<description><![CDATA[Facebook has detailed its extensive improvements to the open source Apache Giraph graph-processing platform. The project, which is built on top of Hadoop, can now process trillions of connections between people,&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/08/14/facebooks-trillion-edge-hadoop-based-graph-processing-engine/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Six degrees of separation, NSA-style</title>
		<link>https://gigaom.com/2013/07/17/six-degrees-of-separation-nsa-style/</link>
		<comments>https://gigaom.com/2013/07/17/six-degrees-of-separation-nsa-style/#comments</comments>
		<pubDate>Wed, 17 Jul 2013 22:12:07 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Accumulo]]></category>
		<category><![CDATA[graph processing]]></category>
		<category><![CDATA[spying]]></category>
		<category><![CDATA[sqrrl]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=668674</guid>
		<description><![CDATA[Whether it's ethically right or wrong to investigate deep into suspects' networks of connections, the NSA certainly has the processing power to do it. "Three hops" away isn't much when you&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/07/17/six-degrees-of-separation-nsa-style/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>