{"id":4263,"date":"2021-09-21T11:02:15","date_gmt":"2021-09-21T11:02:15","guid":{"rendered":"https:\/\/www.adspyglass.com\/blog\/glossary-relevance\/"},"modified":"2021-09-28T15:14:59","modified_gmt":"2021-09-28T15:14:59","slug":"relevance","status":"publish","type":"post","link":"https:\/\/www.adspyglass.com\/blog\/relevance\/","title":{"rendered":"Relevance"},"content":{"rendered":"<p><span>Relevance is a term that defines how search engines measure how closely related the content of a web page is aligned to match the context of a search query.<\/span><\/p>\n<p><span>The gimmick of relevance is that search engines like Solr and Elasticsearch are just sophisticated text-matching systems. They can tell you when a search word matches a word in a document. Once a match has been found, the search engine can use the frequency of that word to give search results a relevance score.<\/span><\/p>\n<p><span>Outside of this core &#8220;engine&#8221;, a lot of search relevancy is related to the development, which is necessary to correct the text to provide a fuzzy comparison or to correctly increase the correct factors. Relevance developers focus on the following areas as a &#8220;first line of defense&#8221;:<\/span><\/p>\n<p><span><strong>Text Analysis.<\/strong><\/span><span> The act of &#8220;normalizing&#8221; text from both a search query and a search result allows fuzzy matching.<\/span><\/p>\n<p><span><strong>Query Time Weights and Boosts.<\/strong><\/span><span> Reweighting the importance of various fields based on search requirements.<\/span><\/p>\n<p><span><strong>Phrase \/ Position Matching.<\/strong><\/span><span> Requiring or boosting on the appearance of the entire query or parts of a query as a phrase or based on the position of the words.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Relevance is a term that defines how search engines measure how closely related the content of a web page is aligned to match the context of a search query. The gimmick of relevance is that search engines like Solr and Elasticsearch are just sophisticated text-matching systems. They can tell you when a search word matches [&hellip;]<\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[93,111],"tags":[123,1034,1033,1035],"class_list":["post-4263","post","type-post","status-publish","format-standard","hentry","category-glossary","category-r","tag-adspyglass-glossary","tag-relevance-definition","tag-relevance-term","tag-what-is-relevance"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Relevance<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.adspyglass.com\/blog\/relevance\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Relevance\" \/>\n<meta property=\"og:description\" content=\"Relevance is a term that defines how search engines measure how closely related the content of a web page is aligned to match the context of a search query. 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