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	<title>Comments on: Using social networks for persuasion profiling</title>
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	<description>Dean Eckles blogs on people and technology</description>
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		<title>By: Dean Eckles</title>
		<link>http://www.deaneckles.com/blog/146_using-social-networks-for-persuasion-profiling/comment-page-1/#comment-9703</link>
		<dc:creator>Dean Eckles</dc:creator>
		<pubDate>Thu, 03 Dec 2009 08:57:46 +0000</pubDate>
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		<description>In a situation where the profiler has already observed considerable behavior by the user (e.g., on Amazon they have already looked and responded to some offers), then I think the user&#039;s own behavior and psychographics will be the best predictors. When this isn&#039;t available (e.g., new user for the profiler, noisy behavioral data), then using the behaviors of their social neighborhood will be valuable. In these cases, it will be critical to be able to identify which of the many members of their neighborhood matter the most -- perhaps based on engagement with the content they are creating. (I gather this is what you&#039;re thinking of?)

Both of the latter cases highlight the potential value of shrinkage estimators (as in multilevel models) in a social network context... I wonder if there is much work on this.</description>
		<content:encoded><![CDATA[<p>In a situation where the profiler has already observed considerable behavior by the user (e.g., on Amazon they have already looked and responded to some offers), then I think the user&#8217;s own behavior and psychographics will be the best predictors. When this isn&#8217;t available (e.g., new user for the profiler, noisy behavioral data), then using the behaviors of their social neighborhood will be valuable. In these cases, it will be critical to be able to identify which of the many members of their neighborhood matter the most &#8212; perhaps based on engagement with the content they are creating. (I gather this is what you&#8217;re thinking of?)</p>
<p>Both of the latter cases highlight the potential value of shrinkage estimators (as in multilevel models) in a social network context&#8230; I wonder if there is much work on this.</p>
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		<title>By: Enrique Allen</title>
		<link>http://www.deaneckles.com/blog/146_using-social-networks-for-persuasion-profiling/comment-page-1/#comment-9239</link>
		<dc:creator>Enrique Allen</dc:creator>
		<pubDate>Thu, 19 Nov 2009 20:07:30 +0000</pubDate>
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		<description>Great post Dean, I&#039;m also excited about the mechanisms underlying effective persuasion profiling. In particular I suspect that the processes of relationship creation/management, measured by various chained engagement behaviors such as photo tagging, contain the most rich &quot;scent&quot;of explanation.</description>
		<content:encoded><![CDATA[<p>Great post Dean, I&#8217;m also excited about the mechanisms underlying effective persuasion profiling. In particular I suspect that the processes of relationship creation/management, measured by various chained engagement behaviors such as photo tagging, contain the most rich &#8220;scent&#8221;of explanation.</p>
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		<title>By: Joan Griffin</title>
		<link>http://www.deaneckles.com/blog/146_using-social-networks-for-persuasion-profiling/comment-page-1/#comment-5834</link>
		<dc:creator>Joan Griffin</dc:creator>
		<pubDate>Tue, 16 Jun 2009 21:09:42 +0000</pubDate>
		<guid isPermaLink="false">http://www.deaneckles.com/blog/?p=146#comment-5834</guid>
		<description>interesting and far-reaching implications attached to one&#039;s web relationships.</description>
		<content:encoded><![CDATA[<p>interesting and far-reaching implications attached to one&#8217;s web relationships.</p>
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