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{"id":246,"date":"2021-07-12T15:37:48","date_gmt":"2021-07-12T15:37:48","guid":{"rendered":"https:\/\/www.wikitechy.com\/interview-questions\/?p=246"},"modified":"2021-09-14T10:09:26","modified_gmt":"2021-09-14T10:09:26","slug":"how-to-optimize-apache-solr-boost-factors-using-genetic-algorithms","status":"publish","type":"post","link":"https:\/\/www.wikitechy.com\/interview-questions\/apache-solr\/how-to-optimize-apache-solr-boost-factors-using-genetic-algorithms\/","title":{"rendered":"How to optimize Apache Solr boost factors using genetic algorithms ?"},"content":{"rendered":"<div class=\"TextHeading\">\n<div class=\"hddn\">\n<h2 id=\"optimize-apache-solr-boost-factors\" class=\"color-purple\" style=\"text-align: justify;\">Optimize Apache Solr boost Factors:<\/h2>\n<\/div>\n<\/div>\n<div class=\"row\">\n<div class=\"col-sm-12\">\n<div class=\"ImageContent\" style=\"text-align: justify;\">\n<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>\n<\/div>\n<div class=\"TextHeading\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<h2 id=\"the-problem-to-solve\" class=\"color-purple\">The problem to solve:<\/h2>\n<\/div>\n<\/div>\n<div class=\"Content\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<ul>\n<li>When running search indexes with Solr, you might stumble upon is that you have various fields in your documents and you\u2019ve to adjust their weights to get reasonable results.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"Content\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<ul>\n<li>Finding those \u201cboosting\u201d values can be quite complex when you have many fields and many scenarios.<\/li>\n<li>Usually getting the values right is a task for very experienced integrators.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"CodeContent\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<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>\n<\/div>\n<\/div>\n<div class=\"Content\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<ul>\n<li>Looking at it from a more technical perspective &#8211; when your Solr query looks like the one above, the question you\u2019ve to answer is how the values for the highlighted numbers should look like to get reasonable results.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<div class=\"TextHeading\" style=\"text-align: justify;\">\n<div class=\"hddn\">\n<h2 id=\"measuring-reasonable\" class=\"color-purple\">Measuring \u201creasonable\u201d:<\/h2>\n<\/div>\n<\/div>\n<div class=\"Content\">\n<div class=\"hddn\">\n<ul style=\"text-align: justify;\">\n<li style=\"list-style-type: none;\">\n<ul>\n<li>In order to solve the problem answer what we expect the outcome to look like.<\/li>\n<li>In other words, we\u2019ve to measure how reasonable a specific solution is.\n<ul>\n<li>For a search engine this can be done with some sample queries and some expectations along with that.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<ul>\n<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>\n<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>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p> 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