Recommendations engine settings
- 06 Apr 2022
- 1 minute to read
Recommendations engine settings
- Updated on 06 Apr 2022
- 1 minute to read
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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).
| Setting | Description | Notes |
|---|---|---|
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. |
Can't find what you're looking for? Contact us at documentation@totara.com. Alternatively, book a call to have a chat about your Totara platform with a dedicated Customer Success Manager.
© Copyright 2024 Totara Learning Solutions. All rights reserved.
© Copyright 2024 Totara Learning Solutions. All rights reserved.
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