Recommendations engine settings
  • 22 Apr 2022
  • 1 Minute to read

Recommendations engine settings


You can configure how the recommendations engine works by navigating to Quick-access menu > Plugins > Machine learning settings > Recommendation engine.

Note that the recommendations engine will not work until you install and configure the engine. Find out how to do this in the developer documentation.

Remember to click Save changes when you have finished configuring these settings. The other settings on the Recommendation engine page are only used by the legacy recommendation engine, and will be deprecated in a future release.

The Recommendation algorithm and Processing threads configurations can be modified from their default values by setting environment variables before starting the Machine Learning Service, as described in the README.md file of the Machine Learning Service (integration/extensions/ml_service/README.md).

SettingDescriptionNotes

Number of items-to-user recommendations

Select the number of items-to-user recommendations generated by the recommendations engine.

The default/recommended value is 5.

Number of items-to-item recommendations

Select the number of items-to-item recommendations generated by the recommendations engine.

The default/recommended value is 5.

Time to analyse interactions

Set the time period (in weeks) from which user-item interaction data will be drawn.

The default/recommended value is 16 weeks.

© Copyright 2022 Totara Learning Solutions. All rights reserved.


Was this article helpful?

First name must have atleast 2 characters. Numbers and special characters are not allowed.
Last name must have atleast 1 characters. Numbers and special characters are not allowed.
Enter a valid email
Enter a valid password
Your profile has been successfully updated.