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		<title>How to optimize Apache Solr boost factors using genetic algorithms ?</title>
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					<description><![CDATA[ Answer:When running search indexes with Solr, you might stumble upon is that you ..]]></description>
										<content:encoded><![CDATA[<div class="TextHeading">
<div class="hddn">
<h2 id="optimize-apache-solr-boost-factors" class="color-purple" style="text-align: justify;">Optimize Apache Solr boost Factors:</h2>
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<div class="hddn"><img fetchpriority="high" decoding="async" class="aligncenter size-medium" src="https://cdn.wikitechy.com/interview-questions/apache-solr/optimize-apache-solr.png" alt="Optimize apache solr" width="933" height="690" /></div>
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<h2 id="the-problem-to-solve" class="color-purple">The problem to solve:</h2>
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<ul>
<li>When running search indexes with Solr, you might stumble upon is that you have various fields in your documents and you’ve to adjust their weights to get reasonable results.</li>
</ul>
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<div class="Content" style="text-align: justify;">
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<ul>
<li>Finding those “boosting” values can be quite complex when you have many fields and many scenarios.</li>
<li>Usually getting the values right is a task for very experienced integrators.</li>
</ul>
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<div class="CodeContent" style="text-align: justify;">
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<figure class="highlight"><div class="code-embed-wrapper"> <div class="code-embed-infos"> </div> <pre class="language-markdown code-embed-pre line-numbers"  data-start="1" data-line-offset="0"><code class="language-markdown code-embed-code">/Solr/select?defType=dismax&amp;q=my+query<br/>&amp;qf=title^**42**+description^**23**+footnotes^**5**+dalmatiners^**101**+foo^**9001**+comments</code></pre> </div></figure>
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<li>Looking at it from a more technical perspective &#8211; when your Solr query looks like the one above, the question you’ve to answer is how the values for the highlighted numbers should look like to get reasonable results.</li>
</ul>
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<div class="hddn">
<h2 id="measuring-reasonable" class="color-purple">Measuring “reasonable”:</h2>
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<ul style="text-align: justify;">
<li style="list-style-type: none;">
<ul>
<li>In order to solve the problem answer what we expect the outcome to look like.</li>
<li>In other words, we’ve to measure how reasonable a specific solution is.
<ul>
<li>For a search engine this can be done with some sample queries and some expectations along with that.</li>
</ul>
</li>
</ul>
</li>
</ul>
<ul>
<li style="text-align: justify;">The expectation could come in a form that we explicitly tell which documents we expect in the result lists of specific queries (and at predefined positions).</li>
<li style="text-align: justify;">We can simple test agains the expectations and check whether or not specific boost factor values actually satisfy them.</li>
</ul>
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