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Search personalization uses AI technology to re-rank search results at query time based on the user context you provide.

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Why use search personalization?

Not everyone search the same way. Personalizing search results allows you to adapt relevance to each user’s preferences, behavior, or intent. For example, in an e-commerce site, someone who often shops for sportswear might see sneakers and activewear ranked higher when searching for “shoes”. A user interested in luxury fashion might see designer heels or leather boots first instead.

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How does search personalization work?

  1. First generate a plain-text description of the user: "The user prefers genres like Documentary, Music, Drama"
  2. When the user performs a search, you submit their description together their search request
  3. Meilisearch retrieves documents based on the user’s query as usual
  4. Finally, the re-ranking model reorders results based on the user context you provided in the first step

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How to enable search personalization in Meilisearch?

Search personalization is an experimental feature. If you are a Meilisearch Cloud user, contact support to activate it for your projects. If you are self-hosting Meilisearch, relaunch it using the search personalization instance option. Consult the search personalization guide for more information on how to implement it in your application.