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        <title>MEPO Forum - Information Retrieval</title>
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            <guid>http://mepopedia.com/forum/read.php?661,10368,10368#msg-10368</guid>
            <title>The Assumption (Probabilisitic Principle) of the Probabilistic Model of IR</title>
            <link>http://mepopedia.com/forum/read.php?661,10368,10368#msg-10368</link>
            <description><![CDATA[<i>Assumption (Probabilistic Principle)</i> Given a user query q and a document dj in the collection, the probabilisitc model tries to estimate the probability that the user will find the document dj interesting (i.e., relevant). The model assumes that this probability of relevance depends on the query and the document representations only. Further, the model assumes that there is a subset of all documents which the user prefers as the answer set for the query q. Such an <i>ideal</i> answer set is labeled R and should maximize the overall probability of relevance to the user. Documents in the set R are predicted to be <i>relevant</i> to the query. Documents not in this set are predicted to be <i>non-relevant</i>.<br />
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(Quoted from <a href=http://portal.acm.org/citation.cfm?id=553876>Modern Information Retrieval</a>, 1999.)]]></description>
            <dc:creator>HP</dc:creator>
            <category>Information Retrieval</category>
            <pubDate>Thu, 06 Jan 2011 00:17:03 +0800</pubDate>
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        <item>
            <guid>http://mepopedia.com/forum/read.php?661,9885,9885#msg-9885</guid>
            <title>Inference Network Model (a paragraph quote)</title>
            <link>http://mepopedia.com/forum/read.php?661,9885,9885#msg-9885</link>
            <description><![CDATA[Quoted from <a href=http://portal.acm.org/citation.cfm?id=553876>Modern Information Retrieval</a> (1999):<br />
<br />
<i>The two most traditional schools of thought in probability are based on the <b>frequentist</b> view and and the <b>epistemological</b> view. The frequentist view takes probability as a statistical notion to the laws of chance. The epistemological view interprets probability as a degree of belief whose specification might be devoid of statistical experimentation. This second viewpoint is important because we frequently refer to probabilities in our daily lives without a clear definition of the statistical experiment which yielded those probabilities.</i>]]></description>
            <dc:creator>HP</dc:creator>
            <category>Information Retrieval</category>
            <pubDate>Wed, 15 Dec 2010 00:03:08 +0800</pubDate>
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