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	<title>Comments on: Google Proves That Reducing Data Latency Increases Targeting Precision and Campaign Lift</title>
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		<title>By: Daniel Tunkelang</title>
		<link>http://www.datadrivesmedia.com/google-proves-that-reducing-data-latency-increases-targeting-precision-and-campaign-lift/comment-page-1/#comment-399</link>
		<dc:creator>Daniel Tunkelang</dc:creator>
		<pubDate>Fri, 15 May 2009 15:33:34 +0000</pubDate>
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		<description>Write faster, faster!

Seriously, thanks for the heads up to this paper, which I&#039;d missed. I&#039;m highly skeptical of collaborative filtering approaches to news (I&#039;ve personally been underwhelmed with Google&#039;s attempts), but I know better than to argue with Google over numbers!  I am glad they&#039;re attacking the challenge of item churn head-on, since that is indeed a huge difference between news and ecommerce, at least for recommendation approaches that extrapolate from past user logs. And, while I may not like the approach in general, I do respect the researchers&#039; attempts to incrementally improve it.</description>
		<content:encoded><![CDATA[<p>Write faster, faster!</p>
<p>Seriously, thanks for the heads up to this paper, which I&#8217;d missed. I&#8217;m highly skeptical of collaborative filtering approaches to news (I&#8217;ve personally been underwhelmed with Google&#8217;s attempts), but I know better than to argue with Google over numbers!  I am glad they&#8217;re attacking the challenge of item churn head-on, since that is indeed a huge difference between news and ecommerce, at least for recommendation approaches that extrapolate from past user logs. And, while I may not like the approach in general, I do respect the researchers&#8217; attempts to incrementally improve it.</p>
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