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	<id>https://recsyswiki.com/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Sherry</id>
	<title>RecSysWiki - User contributions [en]</title>
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	<updated>2026-04-28T11:28:20Z</updated>
	<subtitle>User contributions</subtitle>
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	<entry>
		<id>https://recsyswiki.com/index.php?title=Discounted_cumulative_gain&amp;diff=179</id>
		<title>Discounted cumulative gain</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Discounted_cumulative_gain&amp;diff=179"/>
		<updated>2011-02-20T03:36:25Z</updated>

		<summary type="html">&lt;p&gt;Sherry: Created page with &amp;quot;'''Discounted Cumulative Gain''' is a measure for ranking quality and measures the usefulness (gain) of an item based on its relevance and position in the provided list. For comp...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''Discounted Cumulative Gain''' is a measure for ranking quality and measures the usefulness (gain) of an item based on its relevance and position in the provided list. For comparing different lists of recommendations with various lengths, '''normalized Discounted Cumulative Gain''' or '''nDCG''' is used. It is based on dividing DCG by '''Ideal Discounted Cumulative Gain''' or '''IDCG'''. The more nDCG is, the better ranked list is provided.&lt;br /&gt;
&lt;br /&gt;
[[Wikipedia: Discounted cumulative gain]]&lt;br /&gt;
[[Category:Evaluation measure]]&lt;/div&gt;</summary>
		<author><name>Sherry</name></author>
		
	</entry>
	<entry>
		<id>https://recsyswiki.com/index.php?title=Precision_and_recall&amp;diff=178</id>
		<title>Precision and recall</title>
		<link rel="alternate" type="text/html" href="https://recsyswiki.com/index.php?title=Precision_and_recall&amp;diff=178"/>
		<updated>2011-02-20T03:24:43Z</updated>

		<summary type="html">&lt;p&gt;Sherry: Created page with &amp;quot;'''Precision''' or '''Positive Predictive Value''' is a measure for exactness and '''Recall''' or '''Sensitivity''' is a measure of completeness. They range from 0 to 1 and the b...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''Precision''' or '''Positive Predictive Value''' is a measure for exactness and '''Recall''' or '''Sensitivity''' is a measure of completeness.&lt;br /&gt;
They range from 0 to 1 and the best possible value for both of them is 1. &lt;br /&gt;
&lt;br /&gt;
Precision =  TruePositive / (TruePositive + FalsePositive)&lt;br /&gt;
&lt;br /&gt;
Recall = TruePositive / (TruePositive + FalseNegative)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Wikipedia: Precision and recall]]&lt;br /&gt;
[[Category:Evaluation measure]]&lt;/div&gt;</summary>
		<author><name>Sherry</name></author>
		
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