![]() There are, however, various approaches and tools that can be used to tune the result set for the most optimal results for your users. However, because relevance is subjective, there is no way to return the perfect result set. They're usually pretty good at that because the field of Information Retrieval is continually maturing and those algorithms are getting more and more sophisticated every day. Search algorithms try to bring some empiricism to this area by employing models, rules and mathematical calculations to return and appropriately rank the results that most people would expect. ![]() Relevance, like beauty, is in the eye of the beholder. We'll also point out some "gotchas" and common confusion points along the way. ![]() In this article, we'll take a look at how relevancy scoring is done in Elasticsearch, touching on information retrieval concepts and the mechanisms used to determine the relevancy score of a document for a given query. How scoring works in Elasticsearch relevance scoring elasticsearch Free 30 Day Trial ![]()
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