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	<title>Comments on: Does Always Online Mean Always Available?</title>
	<link>http://www.socialtwister.com/2004/03/05/does-always-online-mean-always-available/</link>
	<description>Confessions of a Social Tools Architect</description>
	<pubDate>Tue, 06 Jan 2009 22:35:35 +0000</pubDate>
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		<title>by: xenical</title>
		<link>http://www.socialtwister.com/2004/03/05/does-always-online-mean-always-available/#comment-5936</link>
		<pubDate>Sat, 18 Dec 2004 17:43:24 +0000</pubDate>
		<guid>http://www.socialtwister.com/2004/03/05/does-always-online-mean-always-available/#comment-5936</guid>
					<description>xenical
&lt;a href=&quot;http://www.bszz.com&quot; rel=&quot;nofollow&quot;&gt;http://www.bszz.com&lt;/a&gt;</description>
		<content:encoded><![CDATA[<p>xenical<br />
<a href="http://www.bszz.com" rel="nofollow"><a href='http://www.bszz.com' rel='nofollow'>http://www.bszz.com</a></a>
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		<title>by: Zbigniew Lukasiak</title>
		<link>http://www.socialtwister.com/2004/03/05/does-always-online-mean-always-available/#comment-5934</link>
		<pubDate>Sat, 06 Mar 2004 14:42:43 +0000</pubDate>
		<guid>http://www.socialtwister.com/2004/03/05/does-always-online-mean-always-available/#comment-5934</guid>
					<description>So generally what you propose is something like a digital assistant managing your contacts.  In my opinion we cannot rely too much on explicite instructions given by the user since it would quickly become too complicated for everyday usage.  So the important question is how can we collect the implicite information clues on which the digital assistant can rely.  I can imagine something similar to what we do for filtering spam messages - a bayesian filter learning while being used, after all both in the heart of the problem have the scarcity of our attention</description>
		<content:encoded><![CDATA[<p>So generally what you propose is something like a digital assistant managing your contacts.  In my opinion we cannot rely too much on explicite instructions given by the user since it would quickly become too complicated for everyday usage.  So the important question is how can we collect the implicite information clues on which the digital assistant can rely.  I can imagine something similar to what we do for filtering spam messages - a bayesian filter learning while being used, after all both in the heart of the problem have the scarcity of our attention
</p>
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