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RankBrain is a component of Google’s core algorithm which uses machine learning (the ability of machines to teach themselves from data inputs) to determine the most relevant results to search engine queries. Pre-RankBrain, Google utilized its basic algorithm to determine which results to show for a given query. Post-RankBrain, it is believed that the query now goes through an interpretation model that can apply possible factors like the location of the searcher, personalization, and the words of the query to determine the searcher’s true intent. By discerning this true intent, Google can deliver more relevant results.
<blockquote class=”twitter-tweet”><p lang=”en” dir=”ltr”>I'm having Tim Urban / Wait But Why back on the podcast. This time with David Perell. We'll be talking about writing blog posts.<br><br>What would you want me to ask them?</p>— Julian Shapiro (@Julian) <a href=”https://twitter.com/Julian/status/1459630004258541568?ref_src=twsrc%5Etfw”>November 13, 2021</a></blockquote> <script async src=”https://platform.twitter.com/widgets.js” charset=”utf-8″></script>