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	<title>Comments on: Google Image Labeler Uses Human Labor</title>
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	<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/</link>
	<description>Startup and Technology News</description>
	<pubDate>Wed, 09 Jul 2008 09:46:21 +0000</pubDate>
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		<item>
		<title>By: socialinnovation3.com &#187; Blog Archive &#187; Google Experiments With Next Generation Image Search</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2230241</link>
		<dc:creator>socialinnovation3.com &#187; Blog Archive &#187; Google Experiments With Next Generation Image Search</dc:creator>
		<pubDate>Mon, 28 Apr 2008 15:28:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2230241</guid>
		<description>[...] of effort on making the metadata around rich content better. One example of this is Google&#8217;s Image Labeler game that uses human labor to properly tag images. Innovative, yes. But it&#8217;s still trying to [...]</description>
		<content:encoded><![CDATA[<p>[...] of effort on making the metadata around rich content better. One example of this is Google&#8217;s Image Labeler game that uses human labor to properly tag images. Innovative, yes. But it&#8217;s still trying to [...]</p>
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	</item>
	<item>
		<title>By: Google-Powered Work Avoidance: Image Labeler &#171; Burned At Both Ends</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2229412</link>
		<dc:creator>Google-Powered Work Avoidance: Image Labeler &#171; Burned At Both Ends</dc:creator>
		<pubDate>Mon, 28 Apr 2008 08:30:19 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2229412</guid>
		<description>[...] TechCrunch reports, it&#8217;s a variant of the popular ESPgame which does pretty much the same thing, with a [...]</description>
		<content:encoded><![CDATA[<p>[...] TechCrunch reports, it&#8217;s a variant of the popular ESPgame which does pretty much the same thing, with a [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: TechCrunch en français &#187; Google expérimente la nouvelle génération de recherche d'images</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2229336</link>
		<dc:creator>TechCrunch en français &#187; Google expérimente la nouvelle génération de recherche d'images</dc:creator>
		<pubDate>Mon, 28 Apr 2008 07:37:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2229336</guid>
		<description>[...] afin d&#8217;améliorer l&#8217;extraction de metadonées dans les images. Un exemple est le ImageLabeler game de Google qui emploie des humains pour tagger correctement les images. Imaginatif certes, mais pas [...]</description>
		<content:encoded><![CDATA[<p>[...] afin d&#8217;améliorer l&#8217;extraction de metadonées dans les images. Un exemple est le ImageLabeler game de Google qui emploie des humains pour tagger correctement les images. Imaginatif certes, mais pas [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Google Experiments With Next Generation Image Search</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2229251</link>
		<dc:creator>Google Experiments With Next Generation Image Search</dc:creator>
		<pubDate>Mon, 28 Apr 2008 06:33:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2229251</guid>
		<description>[...] of effort on making the metadata around rich content better. One example of this is Google&#8217;s Image Labeler game that uses human labor to properly tag images. Innovative, yes. But it&#8217;s still trying to [...]</description>
		<content:encoded><![CDATA[<p>[...] of effort on making the metadata around rich content better. One example of this is Google&#8217;s Image Labeler game that uses human labor to properly tag images. Innovative, yes. But it&#8217;s still trying to [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Google Experiments With Next Generation Image Search</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2229252</link>
		<dc:creator>Google Experiments With Next Generation Image Search</dc:creator>
		<pubDate>Mon, 28 Apr 2008 06:33:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2229252</guid>
		<description>[...] of effort on making the metadata around rich content better. One example of this is Google&#8217;s Image Labeler game that uses human labor to properly tag images. Innovative, yes. But it&#8217;s still trying to [...]</description>
		<content:encoded><![CDATA[<p>[...] of effort on making the metadata around rich content better. One example of this is Google&#8217;s Image Labeler game that uses human labor to properly tag images. Innovative, yes. But it&#8217;s still trying to [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: TechCrunch en français &#187; TagCow tagge toutes vos photos pour vous...mais comment font-ils?</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2063410</link>
		<dc:creator>TechCrunch en français &#187; TagCow tagge toutes vos photos pour vous...mais comment font-ils?</dc:creator>
		<pubDate>Sun, 30 Mar 2008 06:34:54 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-2063410</guid>
		<description>[...] Ce n&#8217;est pas encore confirmé. J&#8217;ai envoyée un email à la société pour en savoir plus mais toujours pas de réponse. Avant de connaître la vérité, je mise sur la solution humaine. A noter que Google utilise aussi ce système pour ce genre de taches. [...]</description>
		<content:encoded><![CDATA[<p>[...] Ce n&#8217;est pas encore confirmé. J&#8217;ai envoyée un email à la société pour en savoir plus mais toujours pas de réponse. Avant de connaître la vérité, je mise sur la solution humaine. A noter que Google utilise aussi ce système pour ce genre de taches. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Facebook Taps Users To Create Translated Versions Of Site. Spanish, French and German Available Now : New Web 2.0 Magazine</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-1935136</link>
		<dc:creator>Facebook Taps Users To Create Translated Versions Of Site. Spanish, French and German Available Now : New Web 2.0 Magazine</dc:creator>
		<pubDate>Tue, 22 Jan 2008 22:23:29 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-1935136</guid>
		<description>[...] Google has done with image search and Wikipedia has done all along, sometimes it just makes sense to ask you users to do as much work [...]</description>
		<content:encoded><![CDATA[<p>[...] Google has done with image search and Wikipedia has done all along, sometimes it just makes sense to ask you users to do as much work [...]</p>
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	</item>
	<item>
		<title>By: Google Image Labeler &#171; iLEMONed</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-812461</link>
		<dc:creator>Google Image Labeler &#171; iLEMONed</dc:creator>
		<pubDate>Mon, 29 Jan 2007 04:51:50 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-812461</guid>
		<description>[...] - via Techcrunch. [...]</description>
		<content:encoded><![CDATA[<p>[...] - via Techcrunch. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Polar Rose: Europe’s Entrant Into Facial Recognition</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-681926</link>
		<dc:creator>Polar Rose: Europe’s Entrant Into Facial Recognition</dc:creator>
		<pubDate>Tue, 09 Jan 2007 04:49:07 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-681926</guid>
		<description>[...] Polar Rose is trying to solve the increasingly important problem of making sense out of photos. Without semantic data, a photo isn&#8217;t much use to a computer trying to convert a keyword query into image results. Google created a game to get users to tag photos for them. Flickr and some of its competitors are doing a pretty good job at getting users to tag photos. And of course newcomer Ookles will soon release their own product. But the vast majority of images on the net have little or no semantic data associated with them, and for all practical purposes they are therefore invisible. [...]</description>
		<content:encoded><![CDATA[<p>[...] Polar Rose is trying to solve the increasingly important problem of making sense out of photos. Without semantic data, a photo isn&#8217;t much use to a computer trying to convert a keyword query into image results. Google created a game to get users to tag photos for them. Flickr and some of its competitors are doing a pretty good job at getting users to tag photos. And of course newcomer Ookles will soon release their own product. But the vast majority of images on the net have little or no semantic data associated with them, and for all practical purposes they are therefore invisible. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Start-up.co.nz &#187; Due Picture Site set to launch in 2007</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-567995</link>
		<dc:creator>Start-up.co.nz &#187; Due Picture Site set to launch in 2007</dc:creator>
		<pubDate>Wed, 20 Dec 2006 21:19:10 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-567995</guid>
		<description>[...] It will be hard for Ookles to get real traction against Flickr and the bevy of other photo destination sites around. But I think they may have a chance at success - generating semantic data around images is a huge problem, and people are usually the primary subjects to amateur photos. Any automated process to auto-tag these photos with people’s names will be welcome, and I like the way Ookles is approaching the problem. Flickr is certainly going to have to deal with this at some point, too. [...]</description>
		<content:encoded><![CDATA[<p>[...] It will be hard for Ookles to get real traction against Flickr and the bevy of other photo destination sites around. But I think they may have a chance at success - generating semantic data around images is a huge problem, and people are usually the primary subjects to amateur photos. Any automated process to auto-tag these photos with people’s names will be welcome, and I like the way Ookles is approaching the problem. Flickr is certainly going to have to deal with this at some point, too. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: TechCrunch en français &#187; Polar Rose: un nouvel entrant en Europe dans la reconnaissance faciale</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-560110</link>
		<dc:creator>TechCrunch en français &#187; Polar Rose: un nouvel entrant en Europe dans la reconnaissance faciale</dc:creator>
		<pubDate>Tue, 19 Dec 2006 14:41:03 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-560110</guid>
		<description>[...] Polar Rose cherche à résoudre un problème qui devient de plus en plus important : &#8220;donner du sens&#8221; aux photos. A l&#8217;absence de données sémantiques (tags), les photos ne sont d&#8217;aucune utilité pour fournir des images en résultat lors d&#8217;une recherche sur un mot-clé. Google a créé un jeux pour pousser les utilisateurs à mettre des tags sur les photos pour eux. Flickr et certains de ses concurrents font également un bon boulot pour convaincre leurs utilisateurs de tagger leurs photos. Et bien sur le nouveau venu Ookles va bientôt sortir son nouveau produit. Mais l&#8217;écrasante majorité des images sur le net n&#8217;ont que peu voir pas du tout de données sémantiques associées et ne peuvent pas être répertoriées ce qui veut dire qu&#8217;elles sont purement et simplement invisibles. [...]</description>
		<content:encoded><![CDATA[<p>[...] Polar Rose cherche à résoudre un problème qui devient de plus en plus important : &#8220;donner du sens&#8221; aux photos. A l&#8217;absence de données sémantiques (tags), les photos ne sont d&#8217;aucune utilité pour fournir des images en résultat lors d&#8217;une recherche sur un mot-clé. Google a créé un jeux pour pousser les utilisateurs à mettre des tags sur les photos pour eux. Flickr et certains de ses concurrents font également un bon boulot pour convaincre leurs utilisateurs de tagger leurs photos. Et bien sur le nouveau venu Ookles va bientôt sortir son nouveau produit. Mais l&#8217;écrasante majorité des images sur le net n&#8217;ont que peu voir pas du tout de données sémantiques associées et ne peuvent pas être répertoriées ce qui veut dire qu&#8217;elles sont purement et simplement invisibles. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Polar Rose: Europe’s Entrant Into Facial Recognition at Swiss Podcast Directory and Blog</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-558881</link>
		<dc:creator>Polar Rose: Europe’s Entrant Into Facial Recognition at Swiss Podcast Directory and Blog</dc:creator>
		<pubDate>Tue, 19 Dec 2006 11:09:14 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-558881</guid>
		<description>[...] Polar Rose is trying to solve the increasingly important problem of making sense out of photos. Without semantic data, a photo isn&#8217;t much use to a computer trying to convert a keyword query into image results. Google created a game to get users to tag photos for them. Flickr and some of its competitors are doing a pretty good job at getting users to tag photos. And of course newcomer Ookles will soon release their own product. But the vast majority of images on the net have little or no semantic data associated with them, and for all practical purposes they are therefore invisible. [...]</description>
		<content:encoded><![CDATA[<p>[...] Polar Rose is trying to solve the increasingly important problem of making sense out of photos. Without semantic data, a photo isn&#8217;t much use to a computer trying to convert a keyword query into image results. Google created a game to get users to tag photos for them. Flickr and some of its competitors are doing a pretty good job at getting users to tag photos. And of course newcomer Ookles will soon release their own product. But the vast majority of images on the net have little or no semantic data associated with them, and for all practical purposes they are therefore invisible. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Techcrunch &#187; Blog Archive &#187; Polar Rose: Europe&#8217;s Entrant Into Facial Recognition</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-558460</link>
		<dc:creator>Techcrunch &#187; Blog Archive &#187; Polar Rose: Europe&#8217;s Entrant Into Facial Recognition</dc:creator>
		<pubDate>Tue, 19 Dec 2006 09:51:51 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-558460</guid>
		<description>[...] Polar Rose is trying to solve the increasingly important problem of making sense out of photos. Without semantic data, a photo isn&#8217;t much use to a computer trying to convert a keyword query into image results. Google created a game to get users to tag photos for them. Flickr and some of its competitors are doing a pretty good job at getting users to tag photos. And of course newcomer Ookles will soon release their own product. But the vast majority of images on the net have little or no semantic data associated with them, and for all practical purposes they are therefore invisible. [...]</description>
		<content:encoded><![CDATA[<p>[...] Polar Rose is trying to solve the increasingly important problem of making sense out of photos. Without semantic data, a photo isn&#8217;t much use to a computer trying to convert a keyword query into image results. Google created a game to get users to tag photos for them. Flickr and some of its competitors are doing a pretty good job at getting users to tag photos. And of course newcomer Ookles will soon release their own product. But the vast majority of images on the net have little or no semantic data associated with them, and for all practical purposes they are therefore invisible. [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Multimedias.mobi &#187; Ookles To Launch in Early 2007</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-557273</link>
		<dc:creator>Multimedias.mobi &#187; Ookles To Launch in Early 2007</dc:creator>
		<pubDate>Tue, 19 Dec 2006 05:26:34 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-557273</guid>
		<description>[...] It will be hard for Ookles to get real traction against Flickr and the bevy of other photo destination sites around. But I think they may have a chance at success - generating semantic data around images is a huge problem, and people are usually the primary subjects to amateur photos. Any automated process to auto-tag these photos with people&#8217;s names will be welcome, and I like the way Ookles is approaching the problem. Flickr is certainly going to have to deal with this at some point, too. [...]</description>
		<content:encoded><![CDATA[<p>[...] It will be hard for Ookles to get real traction against Flickr and the bevy of other photo destination sites around. But I think they may have a chance at success - generating semantic data around images is a huge problem, and people are usually the primary subjects to amateur photos. Any automated process to auto-tag these photos with people&#8217;s names will be welcome, and I like the way Ookles is approaching the problem. Flickr is certainly going to have to deal with this at some point, too. [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Google Image Labeler Fun - CyberNet News: Keeping you plugged in!</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-481234</link>
		<dc:creator>Google Image Labeler Fun - CyberNet News: Keeping you plugged in!</dc:creator>
		<pubDate>Mon, 04 Dec 2006 07:20:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-481234</guid>
		<description>[...] I first read about the Image Labeler when I saw Michael Arrington&#8217;s article from TechCrunch&#160;come across my feed. This is his take:  &#8220;I tried the game. It&#8217;s fun, in a why-am-I-doing-this kind of way. I focused on labeling everything I saw as &#8216;purple&#8217; and &#8216;Donald Trump&#8217;. Hopefully if enough other people do this as well, Google will find a better way of labeling photos, possibly one that involves software instead of free labor.&#8221;&#160; [...]</description>
		<content:encoded><![CDATA[<p>[...] I first read about the Image Labeler when I saw Michael Arrington&#8217;s article from TechCrunch&nbsp;come across my feed. This is his take:  &#8220;I tried the game. It&#8217;s fun, in a why-am-I-doing-this kind of way. I focused on labeling everything I saw as &#8216;purple&#8217; and &#8216;Donald Trump&#8217;. Hopefully if enough other people do this as well, Google will find a better way of labeling photos, possibly one that involves software instead of free labor.&#8221;&nbsp; [...]</p>
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	<item>
		<title>By: Riya’s Like.com Is First True Visual Image Search &#187; JenIT</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-361953</link>
		<dc:creator>Riya’s Like.com Is First True Visual Image Search &#187; JenIT</dc:creator>
		<pubDate>Thu, 09 Nov 2006 19:59:44 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-361953</guid>
		<description>[...] Like.com is image search. There are lots of other image search engines on the web today. But all of them only take queries as text, and compare those text queries to the meta data attached to an image file. This data is notoriously thin, and companies like Google are resorting to using human labor to attempt to add descriptive keywords to images stored on their servers. Even specialty image search engines like Pixsy have fairly thin meta data for images. And all of the existing search engines allow only text for search queries. [...]</description>
		<content:encoded><![CDATA[<p>[...] Like.com is image search. There are lots of other image search engines on the web today. But all of them only take queries as text, and compare those text queries to the meta data attached to an image file. This data is notoriously thin, and companies like Google are resorting to using human labor to attempt to add descriptive keywords to images stored on their servers. Even specialty image search engines like Pixsy have fairly thin meta data for images. And all of the existing search engines allow only text for search queries. [...]</p>
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	<item>
		<title>By: TechCrunch en français &#187; Riya lance Like.com, le premier vrai moteur de recherche visuel</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-357030</link>
		<dc:creator>TechCrunch en français &#187; Riya lance Like.com, le premier vrai moteur de recherche visuel</dc:creator>
		<pubDate>Wed, 08 Nov 2006 16:03:39 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-357030</guid>
		<description>[...] Like.com est un site de recherche d&#8217;image, comme il en existe plein. Mais tous font des recherches textes et comparent ses recherches aux meta-données attachés à ses images. Les méta-données sont faibles et par exemple Google ont recours à la contribution de personnes pour ajouter des descriptions (mots-clés ou tag) aux images stockées sur leurs serveurs. Même les moteurs de recherche d&#8217;image spécialisés, comme Pixsy, ont peu des descriptions pour les images et tous sont basés sur des recherches textes. [...]</description>
		<content:encoded><![CDATA[<p>[...] Like.com est un site de recherche d&#8217;image, comme il en existe plein. Mais tous font des recherches textes et comparent ses recherches aux meta-données attachés à ses images. Les méta-données sont faibles et par exemple Google ont recours à la contribution de personnes pour ajouter des descriptions (mots-clés ou tag) aux images stockées sur leurs serveurs. Même les moteurs de recherche d&#8217;image spécialisés, comme Pixsy, ont peu des descriptions pour les images et tous sont basés sur des recherches textes. [...]</p>
]]></content:encoded>
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	<item>
		<title>By: Techcrunch &#187; Blog Archive &#187; Riya&#8217;s Like.com Is First True Visual Image Search</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-355040</link>
		<dc:creator>Techcrunch &#187; Blog Archive &#187; Riya&#8217;s Like.com Is First True Visual Image Search</dc:creator>
		<pubDate>Wed, 08 Nov 2006 07:57:06 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-355040</guid>
		<description>[...] Like.com is image search. There are lots of other image search engines on the web today. But all of them only take queries as text, and compare those text queries to the meta data attached to an image file. This data is notoriously thin, and companies like Google are resorting to using human labor to attempt to add descriptive keywords to images stored on their servers. Even specialty image search engines like Pixsy have fairly thin meta data for images. And all of the existing search engines allow only text for search queries. [...]</description>
		<content:encoded><![CDATA[<p>[...] Like.com is image search. There are lots of other image search engines on the web today. But all of them only take queries as text, and compare those text queries to the meta data attached to an image file. This data is notoriously thin, and companies like Google are resorting to using human labor to attempt to add descriptive keywords to images stored on their servers. Even specialty image search engines like Pixsy have fairly thin meta data for images. And all of the existing search engines allow only text for search queries. [...]</p>
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	<item>
		<title>By: Techcrunch &#187; Blog Archive &#187; Helium: click to compare other peoples&#8217; topical writing</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-258488</link>
		<dc:creator>Techcrunch &#187; Blog Archive &#187; Helium: click to compare other peoples&#8217; topical writing</dc:creator>
		<pubDate>Wed, 11 Oct 2006 19:15:56 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-258488</guid>
		<description>[...] Helium takes up a number of different trends we&#8217;re seeing around the web, the aggregate one click ranking reminds me of the Google Image Labeler (a game to build search metadata for images) and paying top users for content creation is clearly something many people are interested in. Question and Answer sites are proliferating rapidly, but the structured topics of Helium have a different appeal. [...]</description>
		<content:encoded><![CDATA[<p>[...] Helium takes up a number of different trends we&#8217;re seeing around the web, the aggregate one click ranking reminds me of the Google Image Labeler (a game to build search metadata for images) and paying top users for content creation is clearly something many people are interested in. Question and Answer sites are proliferating rapidly, but the structured topics of Helium have a different appeal. [...]</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Techcrunch &#187; Blog Archive &#187; All The Cool Kids Are Deep Tagging</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-236825</link>
		<dc:creator>Techcrunch &#187; Blog Archive &#187; All The Cool Kids Are Deep Tagging</dc:creator>
		<pubDate>Mon, 02 Oct 2006 06:18:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-236825</guid>
		<description>[...] And many people are tagging audio, video and photo content. YouTube, Flickr and others allow this (and see Google&#8217;s efforts to tag photos using humans). Tags help describe the content and are usable by search engines as well as humans. But highest level tags, when they are present, don&#8217;t capture all of the content, so a lot is missed. [...]</description>
		<content:encoded><![CDATA[<p>[...] And many people are tagging audio, video and photo content. YouTube, Flickr and others allow this (and see Google&#8217;s efforts to tag photos using humans). Tags help describe the content and are usable by search engines as well as humans. But highest level tags, when they are present, don&#8217;t capture all of the content, so a lot is missed. [...]</p>
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		<title>By: Google Image Labeler at Shavkatov&#8217;s Blog</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-215853</link>
		<dc:creator>Google Image Labeler at Shavkatov&#8217;s Blog</dc:creator>
		<pubDate>Sat, 23 Sep 2006 07:47:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-215853</guid>
		<description>[...] В игре многое зависит от сообразительности партнера. И если вам попадется Майкл Аррингтон, то используйте в качестве тегов только “purple” and “Donald Trump”.     Technorati Tags: google, google image labeler   Filed under: IT, Разное  &#160;&#160;&#124;&#160;&#160; Tags: google, google image labeler. [...]</description>
		<content:encoded><![CDATA[<p>[...] В игре многое зависит от сообразительности партнера. И если вам попадется Майкл Аррингтон, то используйте в качестве тегов только “purple” and “Donald Trump”.     Technorati Tags: google, google image labeler   Filed under: IT, Разное  &nbsp;&nbsp;|&nbsp;&nbsp; Tags: google, google image labeler. [...]</p>
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		<title>By: le blog des mash-up</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-205735</link>
		<dc:creator>le blog des mash-up</dc:creator>
		<pubDate>Tue, 19 Sep 2006 13:16:23 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-205735</guid>
		<description>[...] Les photos de google sont taguées par des bénévoles, permettant de décrire une image avec des mots clef significatifs, et améliorant à terme la pertinence du moteur de recherche. [...]</description>
		<content:encoded><![CDATA[<p>[...] Les photos de google sont taguées par des bénévoles, permettant de décrire une image avec des mots clef significatifs, et améliorant à terme la pertinence du moteur de recherche. [...]</p>
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		<title>By: Blufr tests your b.s. radar &#187; JenIT</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-203823</link>
		<dc:creator>Blufr tests your b.s. radar &#187; JenIT</dc:creator>
		<pubDate>Mon, 18 Sep 2006 20:32:39 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-203823</guid>
		<description>[...] The site comes from Answers.com, though it also accepts user submissions. It&#8217;s a great example of a large knowledge base put to use in a compelling way. Who knew that an online dictionary and encyclopedia could be so engaging? I don&#8217;t know if Answers is collecting the data they get from the game and putting it to use like the Google Image Labeler is. All of these sorts of services underline why I think the Q and A sites, and their APIs, are more than just a place to get help as an individual. [...]</description>
		<content:encoded><![CDATA[<p>[...] The site comes from Answers.com, though it also accepts user submissions. It&#8217;s a great example of a large knowledge base put to use in a compelling way. Who knew that an online dictionary and encyclopedia could be so engaging? I don&#8217;t know if Answers is collecting the data they get from the game and putting it to use like the Google Image Labeler is. All of these sorts of services underline why I think the Q and A sites, and their APIs, are more than just a place to get help as an individual. [...]</p>
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		<title>By: accelzone - techie weblog &#187; Blufr tests your b.s. radar</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-194979</link>
		<dc:creator>accelzone - techie weblog &#187; Blufr tests your b.s. radar</dc:creator>
		<pubDate>Fri, 15 Sep 2006 00:29:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-194979</guid>
		<description>[...] The site comes from Answers.com, though it also accepts user submissions. It&#8217;s a great example of a large knowledge base put to use in a compelling way. Who knew that an online dictionary and encyclopedia could be so engaging? I don&#8217;t know if Answers is collecting the data they get from the game and putting it to use like the Google Image Labeler is. All of these sorts of services underline why I think the Q and A sites, and their APIs, are more than just a place to get help as an individual. [...]</description>
		<content:encoded><![CDATA[<p>[...] The site comes from Answers.com, though it also accepts user submissions. It&#8217;s a great example of a large knowledge base put to use in a compelling way. Who knew that an online dictionary and encyclopedia could be so engaging? I don&#8217;t know if Answers is collecting the data they get from the game and putting it to use like the Google Image Labeler is. All of these sorts of services underline why I think the Q and A sites, and their APIs, are more than just a place to get help as an individual. [...]</p>
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		<title>By: Techcrunch &#187; Blog Archive &#187; Blufr tests your b.s. radar</title>
		<link>http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-194948</link>
		<dc:creator>Techcrunch &#187; Blog Archive &#187; Blufr tests your b.s. radar</dc:creator>
		<pubDate>Fri, 15 Sep 2006 00:22:11 +0000</pubDate>
		<guid isPermaLink="false">http://www.techcrunch.com/2006/09/01/google-image-labeler/#comment-194948</guid>
		<description>[...] The site comes from Answers.com, though it also accepts user submissions. It&#8217;s a great example of a large knowledge base put to use in a compelling way. Who knew that an online dictionary and encyclopedia could be so engaging? I don&#8217;t know if Answers is collecting the data they get from the game and putting it to use like the Google Image Labeler is, but I can imagine that the MySpace widget could dredge up some information that marketers would like to get their hands on. All of these sorts of services underline why I think the Q and A sites, and their APIs, are more than just a place to get help as an individual. [...]</description>
		<content:encoded><![CDATA[<p>[...] The site comes from Answers.com, though it also accepts user submissions. It&#8217;s a great example of a large knowledge base put to use in a compelling way. Who knew that an online dictionary and encyclopedia could be so engaging? I don&#8217;t know if Answers is collecting the data they get from the game and putting it to use like the Google Image Labeler is, but I can imagine that the MySpace widget could dredge up some information that marketers would like to get their hands on. All of these sorts of services underline why I think the Q and A sites, and their APIs, are more than just a place to get help as an individual. [...]</p>
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