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	<title>Gigaom Search &#187; targeted advertising</title>
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		<title>Google to give all users clearer information about data use</title>
		<link>https://gigaom.com/2015/01/30/google-promises-better-privacy-information-to-settle-uk-case/</link>
		<comments>https://gigaom.com/2015/01/30/google-promises-better-privacy-information-to-settle-uk-case/#comments</comments>
		<pubDate>Fri, 30 Jan 2015 14:01:48 +0000</pubDate>
		<dc:creator><![CDATA[David Meyer]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[antitrust]]></category>
		<category><![CDATA[behavioral targeting]]></category>
		<category><![CDATA[Data Protection]]></category>
		<category><![CDATA[Europe]]></category>
		<category><![CDATA[Google Search]]></category>
		<category><![CDATA[ICO]]></category>
		<category><![CDATA[privacy]]></category>
		<category><![CDATA[regulation]]></category>
		<category><![CDATA[regulations]]></category>
		<category><![CDATA[surveillance]]></category>
		<category><![CDATA[targeted advertising]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NASDAQ:GOOG]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=911181</guid>
		<description><![CDATA[Google has vowed to revise its privacy policy and account settings, in order to make it clearer to people what it does with their data and give them more control. This comes&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/30/google-promises-better-privacy-information-to-settle-uk-case/feed/</wfw:commentRss>
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		<title>Facebook takes on Twitter with real-time Super Bowl hub</title>
		<link>https://gigaom.com/2015/01/28/facebook-takes-on-twitter-with-real-time-super-bowl-hub/</link>
		<comments>https://gigaom.com/2015/01/28/facebook-takes-on-twitter-with-real-time-super-bowl-hub/#comments</comments>
		<pubDate>Wed, 28 Jan 2015 18:16:43 +0000</pubDate>
		<dc:creator><![CDATA[Carmel DeAmicis]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[live]]></category>
		<category><![CDATA[Media]]></category>
		<category><![CDATA[real-time]]></category>
		<category><![CDATA[Super Bowl]]></category>
		<category><![CDATA[super bowl hub]]></category>
		<category><![CDATA[targeted]]></category>
		<category><![CDATA[targeted advertising]]></category>
		<category><![CDATA[Targeting]]></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>
		
		<guid isPermaLink="false">http://gigaom.com/?p=910542</guid>
		<description><![CDATA[Looks like Facebook has decided it can do Twitter's job better. The social media site has built a live news hub for Sunday's upcoming Super Bowl. It will feature user posts&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/28/facebook-takes-on-twitter-with-real-time-super-bowl-hub/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<item>
		<title>Here&#8217;s why new competitors can&#8217;t do what Hotel Tonight does</title>
		<link>https://gigaom.com/2015/01/27/heres-why-new-competitors-cant-do-what-hotel-tonight-does/</link>
		<comments>https://gigaom.com/2015/01/27/heres-why-new-competitors-cant-do-what-hotel-tonight-does/#comments</comments>
		<pubDate>Tue, 27 Jan 2015 17:37:51 +0000</pubDate>
		<dc:creator><![CDATA[Carmel DeAmicis]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Accommodation]]></category>
		<category><![CDATA[bonus rate]]></category>
		<category><![CDATA[cheap]]></category>
		<category><![CDATA[cheaper]]></category>
		<category><![CDATA[discount]]></category>
		<category><![CDATA[fare]]></category>
		<category><![CDATA[Fee]]></category>
		<category><![CDATA[hotel]]></category>
		<category><![CDATA[location]]></category>
		<category><![CDATA[price]]></category>
		<category><![CDATA[rate drop]]></category>
		<category><![CDATA[stay]]></category>
		<category><![CDATA[targeted advertising]]></category>
		<category><![CDATA[Targeting]]></category>
		<category><![CDATA[Tonight]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=909890</guid>
		<description><![CDATA[HotelTonight, the app for booking a hotel stay on the go, has introduced new personalized price cuts, one called a "bonus rate" and the other called a "rate drop." [caption id="attachment_910101"&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2015/01/27/heres-why-new-competitors-cant-do-what-hotel-tonight-does/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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		<title>Twitter is tracking the apps on your phone</title>
		<link>https://gigaom.com/2014/11/26/twitter-is-tracking-the-apps-on-your-phone/</link>
		<comments>https://gigaom.com/2014/11/26/twitter-is-tracking-the-apps-on-your-phone/#comments</comments>
		<pubDate>Wed, 26 Nov 2014 18:59:01 +0000</pubDate>
		<dc:creator><![CDATA[Carmel DeAmicis]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[applications]]></category>
		<category><![CDATA[instant timelines]]></category>
		<category><![CDATA[Mobile]]></category>
		<category><![CDATA[phone]]></category>
		<category><![CDATA[targeted advertising]]></category>
		<category><![CDATA[Targeting]]></category>
		<category><![CDATA[tracking]]></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>
		
		<guid isPermaLink="false">http://gigaom.com/?p=896510</guid>
		<description><![CDATA[In its latest effort to improve its ad targeting, Twitter will start collecting information on what mobile apps its users have downloaded.]]></description>
		<wfw:commentRss>https://gigaom.com/2014/11/26/twitter-is-tracking-the-apps-on-your-phone/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
		</item>
		<item>
		<title>Will ads powered by Facebook user data be more effective than Google&#8217;s cookie-based ones?</title>
		<link>https://gigaom.com/2014/09/29/will-ads-powered-by-facebook-user-data-be-more-effective-than-googles-cookie-based-ones/</link>
		<comments>https://gigaom.com/2014/09/29/will-ads-powered-by-facebook-user-data-be-more-effective-than-googles-cookie-based-ones/#comments</comments>
		<pubDate>Mon, 29 Sep 2014 22:00:45 +0000</pubDate>
		<dc:creator><![CDATA[Carmel DeAmicis]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[ad server]]></category>
		<category><![CDATA[Ad serving]]></category>
		<category><![CDATA[audience network]]></category>
		<category><![CDATA[targeted advertising]]></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=876942</guid>
		<description><![CDATA[Facebook claims its new ad server will target ads on websites and mobile browsers more accurately than Google's DoubleClick. But the big, public ad agency it's partnering with says it's more&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/09/29/will-ads-powered-by-facebook-user-data-be-more-effective-than-googles-cookie-based-ones/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
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		<title>The future of content consumption, through the eyes of Yahoo Labs</title>
		<link>https://gigaom.com/2014/08/12/the-future-of-content-consumption-through-the-eyes-of-yahoo-labs/</link>
		<comments>https://gigaom.com/2014/08/12/the-future-of-content-consumption-through-the-eyes-of-yahoo-labs/#comments</comments>
		<pubDate>Tue, 12 Aug 2014 22:39:59 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[targeted advertising]]></category>
		<category><![CDATA[Yahoo Labs]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:YHOO]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=864346</guid>
		<description><![CDATA[Yahoo has been rebuilding its research focus, and now a 250-person strong Yahoo Labs is trying to build the future of content. Full of experts in everything from personalization to deep&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/08/12/the-future-of-content-consumption-through-the-eyes-of-yahoo-labs/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		</item>
		<item>
		<title>Why pictures and posts are the future of online advertising</title>
		<link>https://gigaom.com/2014/05/15/why-pictures-and-posts-are-the-future-of-online-advertising/</link>
		<comments>https://gigaom.com/2014/05/15/why-pictures-and-posts-are-the-future-of-online-advertising/#comments</comments>
		<pubDate>Thu, 15 May 2014 19:09:01 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[marketing data]]></category>
		<category><![CDATA[targeted ads]]></category>
		<category><![CDATA[targeted advertising]]></category>
		<category><![CDATA[targeting advertising]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=841590</guid>
		<description><![CDATA[Artificial intelligence techniques such as natural-language processing and computer vision will someday revolutionize our world. First, they'll probably help retailers sell us more stuff. ]]></description>
		<wfw:commentRss>https://gigaom.com/2014/05/15/why-pictures-and-posts-are-the-future-of-online-advertising/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Boostable is putting machine learning to work for marketplace sellers</title>
		<link>https://gigaom.com/2014/03/25/boostable-is-putting-machine-learning-to-work-for-marketplace-sellers/</link>
		<comments>https://gigaom.com/2014/03/25/boostable-is-putting-machine-learning-to-work-for-marketplace-sellers/#comments</comments>
		<pubDate>Tue, 25 Mar 2014 18:44:23 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[ad targeting]]></category>
		<category><![CDATA[Boostable]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[targeted advertising]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=827847</guid>
		<description><![CDATA[A startup called Boostable is helping individual sellers in large marketplaces like Etsy and Airbnb target potential customers on sites such as Facebook. It's yet another company trying to package up&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/03/25/boostable-is-putting-machine-learning-to-work-for-marketplace-sellers/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Data privacy, machine learning and the destruction of mysterious humanity</title>
		<link>https://gigaom.com/2014/02/22/data-privacy-machine-learning-and-the-destruction-of-mysterious-humanity/</link>
		<comments>https://gigaom.com/2014/02/22/data-privacy-machine-learning-and-the-destruction-of-mysterious-humanity/#comments</comments>
		<pubDate>Sat, 22 Feb 2014 20:00:06 +0000</pubDate>
		<dc:creator><![CDATA[Guest Column]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[privcacy]]></category>
		<category><![CDATA[targeted advertising]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=818825</guid>
		<description><![CDATA[While consumers might be willing to trade their data for better experiences, John Foreman argues we might not understand the tradeoff at all. As machine learning advances, companies' models will treat&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2014/02/22/data-privacy-machine-learning-and-the-destruction-of-mysterious-humanity/feed/</wfw:commentRss>
		<slash:comments>4</slash:comments>
		</item>
		<item>
		<title>Applying data science to marketing gets People Pattern $4.5M</title>
		<link>https://gigaom.com/2013/12/31/applying-data-science-to-marketing-gets-people-pattern-4-5m/</link>
		<comments>https://gigaom.com/2013/12/31/applying-data-science-to-marketing-gets-people-pattern-4-5m/#comments</comments>
		<pubDate>Tue, 31 Dec 2013 15:41:10 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[data science]]></category>
		<category><![CDATA[marketing]]></category>
		<category><![CDATA[targeted ads]]></category>
		<category><![CDATA[targeted advertising]]></category>

		<guid isPermaLink="false">http://gigaom.com/?p=788271</guid>
		<description><![CDATA[People Pattern, an Austin, Texas-based startup focused on targeted marketing, has raised a $4.5 million series A round of venture capital from Mohr Davidow and a collection of private investors. It's&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2013/12/31/applying-data-science-to-marketing-gets-people-pattern-4-5m/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
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