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Jamiemaguire
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Elasticsearch: Performance Tuning Search Results using Boosts
- This article discusses the use of boost while tuning and optimizing search results in Elasticsearch using the NEST SDK and C#.
- Search terms can exist in the content title and body, but the search results returned may be polluted with content containing brief mentions or links in the content body with the search terms.
- Boost is a technique that lets you increase the relevance score of certain fields in your query. It lets you add more weight to a record in search results and prioritize certain fields within content based on their subjective importance.
- By applying a boost to the title field when the query is ran using NEST SDK and C# in Elasticsearch, only content that is truly related to the initial search terms is returned.
- The example code provided shows how to prioritize title over body by implementing a boost to the title field and building a search query that combines body within a bool query.
- The code retrieves the top records and returns metadata to help with paging on the client side.
- Boosts allow fine-tuning search results providing a better user experience by adjusting the order and relevance of search results.
- By tuning search results using boosts, better search results can be provided to the user.
- The solution outlined in this article tunes and optimizes search results using boosts in Elasticsearch by prioritizing content by subject importance.
- NEST SDK and C# are used to build a search query to prioritize the title over the body.
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