Learning Access Enhancements for Recommendations
You now have the option to skip recommendations for people in the audience when they don't have access to the learning being recommended. Also, verify if the learners have existing learning assignments and avoid recommending the learning to those who do.
This enhancement improves the overall effectiveness and relevance of learning recommendations.
Steps to Enable
- If you haven't already done so, complete the steps to enable for the releases 24D What's New feature Item and Audience Selection Updates for Recommendations.
- Review these profile options for and update the default settings as appropriate. Use the Setup and Maintenance > Tasks panel Search, Manage Administrator Profile Values task.
Profile Option 1: Specify whether to generate recommendations for learners who don't have access to the recommended learning.
| Profile Code | ORA_WLF_RECOM_IGNORE_ACCESS_PERM |
|---|---|
| Profile Name | Ignore Access Permissions |
| Profile Description |
Recommendation will be created for audience members who doesn't have access to the recommended items. |
| Profile Values |
Site level:
|
Profile Option 2: Specify whether to generate recommendations for learners who are already engaged with the recommended learning.
| Profile Code | ORA_WLF_RECOM_IGNORE_LEARNER_ENGMT |
|---|---|
| Profile Name | Ignore Previous or Current Engagement |
| Profile Description | Recommendations will be created even though members in the selected audience have previous or current engagement with the recommended item. |
| Profile Values |
Site level:
|
Tips And Considerations
The profile option settings don't apply when a manager or learner creates recommendations for specific learning. In these cases, the recommendations aren't sent for audience members where either or both of these conditions are met:
- The recipient doesn't have access to the learning being recommended.
- The recipient has an existing engagement for the learning being recommended.
The settings do apply when learning administrators recommend learning and either or both of the conditions are met.
Key Resources
For more information about setting up the Redwood experience for Oracle Learning, see How do I set up the Redwood experience for Oracle Learning?
For more information about recommendation audiences, see the release 24D What's New feature Item and Audience Selection Updates for Recommendations