---
title: About Product Recommendations (PR)
slug: lacb0109
canonical_url: https://docs.coveo.com/en/lacb0109/
collection: leverage-machine-learning
source_format: adoc
---
# About Product Recommendations (PR)

[Coveo Machine Learning (Coveo ML)](https://docs.coveo.com/en/188/) [Product Recommendation (PR)](https://docs.coveo.com/en/3132/) [models](https://docs.coveo.com/en/1012/) take advantage of [Coveo Analytics](https://docs.coveo.com/en/182/) to suggest relevant products to end users based on their past and present interactions with your Coveo-powered commerce implementation.

Coveo ML PR enhances the user's experience by offering products that suit their profile, context, and buying behaviors.
To provide relevant suggestions, the model continuously learns from your end users' feedback by scoping their buyer profile and analyzing their interactions with different products.
Thanks to its multiple algorithms, Coveo ML PR can easily adapt its approach to your digital commerce strategy.

Depending on your context, you can leverage one or more of the available [PR strategies](https://docs.coveo.com/en/p85e0425/).

To learn how to use Coveo ML PR, see [About Product Recommendations (PR)](https://docs.coveo.com/en/3382/).