Chapter 6. Searching with relevancy
This chapter covers
- How scoring works inside Lucene and Elasticsearch
- Boosting the score of a particular query or field
- Understanding term frequency, inverse document frequency, and relevancy scores with the explain API
- Reducing the impact of scoring by rescoring a subset of documents
- Gaining ultimate power over scoring using the function_score query
- The field data cache and how it affects Elasticsearch instances
In the world of free text, being able match a document to a query is a feature touted by many different storage and search engines. What really makes an Elasticsearch query different from doing a SELECT * FROM users WHERE name LIKE 'bob%' is the ability to assign a relevancy, also known as a score ...
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