Fine-tuning Precision & Recall of an Elasticsearch Match Query - S1E10: Mini Beginner's Crash Course

Join Elastic Developer Advocate, Lisa Jung (@lisahjung), to learn how to improve the precision or recall of search results retrieved by a match query. This session provides an overview of precision and recall in Elasticsearch and practical examples to help you fine-tune your search.

This is episode 10 of the Mini Beginner’s Crash Course to Elasticsearch and Kibana. Mini Beginner’s Crash Course is a series of short videos for developers with little to no experience with Elasticsearch and Kibana or those who could use a refresher.

📚 RESOURCES:
Find all the resources for the series here:
https://ela.st/beginners-table-of-con...

🎓 FULL-LENGTH WORKSHOP:
This video is an excerpt from the Beginner’s Crash Course to Elastic Stack Part 2.
If you prefer the full-length workshop format, check out the following link:
https://ela.st/bcc-part2

🔍 KEY TAKEAWAYS:
By the end of this workshop, you will be able to:
learn how precision and recall are used to measure how well Elastic search engine is searching
understand how scoring is used to rank the relevance of your search results in Elasticsearch
add data to Elasticsearch
master sending search queries from Kibana to Elasticsearch to fine-tune the precision or recall of your search results

🤔 Have Questions? Ask us on discuss.elastic.co or https://ela.st/slack
🌐 Connect with the Elastic Community: Engage on Slack at https://ela.st/slack

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