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Using Elasticsearch pinned queries to promote specific results

Blog post from Elastic

Post Details
Company
Date Published
Author
Sagar Patel
Word Count
1,022
Company Posts That Month
24
Language
-
Hacker News Points
-
Post removed?
No
Summary

The article by Sagar Patel explores the functionality and implementation of pinned queries in Elasticsearch, a feature introduced in version 7.4 that allows users to prioritize specific documents in search results. Pinned queries are particularly useful for promoting content that may not have the highest relevancy scores but is strategically important, such as frequently clicked articles in a knowledge center, newly launched products, or items highlighted for seasonal marketing. The article provides a practical example using a sample product data set, illustrating how pinned queries can elevate certain items, like the latest iPhone models, in search results. It also discusses the limitations of pinned queries, such as the inability to override sorting criteria like price, and highlights the expertise of the author, Sagar Patel, in the field of Elasticsearch and search technologies.

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