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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Tricia Mayer</author_name><author_url>https://www.microsoft.com/en-us/research/people/tmayer/</author_url><title>Okapi at TREC-4 - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="Q96twxsuOw"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/okapi-at-trec-4/"&gt;Okapi at TREC-4&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/okapi-at-trec-4/embed/#?secret=Q96twxsuOw" width="600" height="338" title="&#x201C;Okapi at TREC-4&#x201D; &#x2014; Microsoft Research" data-secret="Q96twxsuOw" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>The Okapi Basic Search System is a set-oriented, ranked-output system designed primarily for probabilistic-type retrieval of textual material using inverted indexes. City University have submitted interactive runs in all the previous TRECs (Text REtrieval Conferences), with fairly undistinguished results. This time, the main emphasis has been on the development of an entirely new interactive ad-hoc [&hellip;]</description></oembed>
