Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Fuzzy Queries

The video tutorial explains fuzzy matching in search engines, focusing on the Levenshtein edit distance, which quantifies typos and misspellings through substitutions, insertions, and deletions. It demonstrates how to use the fuzziness parameter in search queries to tolerate errors and discusses the auto setting for fuzziness based on string length. Practical examples using movie titles illustrate how fuzzy search works, showing how different levels of fuzziness affect search results.

What is the primary purpose of using fuzzy matching in search engines?

• To improve the accuracy of search results

• To increase the speed of search queries

• To reduce the size of the search index

• To handle typos and misspellings in user input

Which of the following is NOT a type of error considered in Levenshtein distance?

• Substitution

• Repetition

• Insertion

• Deletion

If a user misspells 'interstellar' as 'intersteller', what type of error is this?

• Substitution

• Insertion

• Deletion

• Transposition

How does the 'auto' setting for fuzziness affect short strings?

• It only applies to strings longer than five characters

• It increases the fuzziness tolerance for all strings

• It does not tolerate any fuzziness for one or two character strings

• It allows more errors for short strings

What happens when a fuzziness level of 1 is specified for a search query?

• Matches with up to two errors are allowed

• All possible matches are returned

• Only exact matches are returned

• Matches with one error are allowed

In the practical demonstration, what was the result of searching for 'wars' with a Z using a fuzziness of 1?

• No results were returned

• Only exact matches were returned

• Results including 'Star Wars' were returned

• An error occurred in the search

What is the effect of increasing the fuzziness level in a search query?

• It decreases the number of potential matches

• It allows for more errors in the search term

• It speeds up the search process

• It restricts the search to exact matches only