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Beginner's Crash Course to Elastic Stack - Part 2: Relevance of a search

This workshop is Part 2 of the Beginner’s Crash Course to Elastic Stack. Beginner’s Crash Course is a series of workshops for all developers with little to no experience with Elasticsearch and Kibana or those who could use a refresher. Join Elastic Developer Advocate Lisa Jung(@lisahjung) to understand the relevance of your search with Elasticsearch and Kibana! 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 relevancy of search results in Elasticsearch master how to send search queries from Kibana to Elasticsearch to finetune the precision or recall of your search results Time Stamp: What is the relevance of a search? 4:20 What is precision? 7:47 What is recall? 8:22 What is ranking? 9:29 What is a score? 10:19 What is the term frequency? 11:20 What is inverse document frequency? 12:32 Add data to Elasticsearch via File Data Visualizer 14:28 Retrieve information about documents in an index 22:56 Track_total_hits 25:22 Range query 26:44 Aggregations 29:10 A combination of query and aggregation request 31:19 How to increase recall(match query) 33:50 How to increase precision("operator": "and") 36:54 Minimum_should_match 38:35 Resources Table of Contents for Beginner’s Crash Course to Elastic Stack: https://ela.st/beginners-table-of-con... The link above includes the table of contents for all repos shared during the course. These repos contain all the resources shared during the workshops including the presentation slides, the recording, as well as Elasticsearch requests. Be sure to check out Part 2 repo as you follow along!