Coveo Machine Learning Product Recommendation model update

Earlier version models will no longer receive updates or improvements.

Coveo will no longer provide support for earlier version models.

Earlier version models will be decommissioned later, after which they will stop functioning entirely. To avoid disruption, complete the required migration steps before the deprecation date.

Better and more diversified recommendations. Each strategy trains independently on the most relevant event data, improving recommendation quality and diversity.

Improved scalability and robustness. A standardized training limit of 100M events ensures fault-tolerant, predictable model builds, even for high-volume commerce implementations.

Fewer data dependencies. Category-based, localization-based, and user-based strategies require less configuration and fewer dependencies, reducing friction during the implementation process and maintenance.

Enhanced user-based strategy performance. User-based strategies no longer rely solely on user history. They also leverage purchase and view data resulting in more relevant and personalized recommendations for individual shoppers.

Streamlined management experience. A redesigned creation and management flow simplifies model setup and association directly in the Coveo Administration Console. All strategies are now available within the association flow, eliminating the need to edit an association’s JSON configuration.

Continued investment. Only the new model version will receive future improvements and new strategies. Migrating now ensures that your organization benefits from ongoing Coveo investment in product recommendations.

Create and manage a PR model

Product recommendation strategies