Using AI Assistant Recommendations  

Users have several options available to refine the recommendations, which are themselves presented with a 'star' rating indicating the most relevant recommendations and an active link on each course title to take the user to the corresponding catalog page.  

Recommendation Focus

• Self-Enrolled Courses - the recommendations will be based on courses in the user's training history that were self-enrolled.
• Assigned Courses - the recommendations will be based on courses in the user's history that were assigned (e.g. group enroll, auto-enroll,...).
• Random Recommendations - the recommendations will be based on all courses in the user's history, and since each course can have multiple associated courses, the assistant will use a probability function to vary the returned list instead of simply ranking the recommended courses and returning the highest-ranked courses (which is what happens with the first two options above).  This means that this list can vary each time a "surprise me" request is made.

Additional items, if configured:

• Job Title - the recommendations will be based on courses in the user's history compared to the history of other users with the same job title
• Organization Unit - the recommendations will be based on courses in the user's history compared to the history of other users with the same organization unit (based on the highest level visible for the user’s role).
• User Groups - the recommendations will be based on courses in the user's history compared to the history of other users in one or more of the same user groups as the logged-in user.
• Job Profiles - the recommendations will be based on courses in the user's history compared to the history of other users assigned one or more of the same job profile(s).
• Competencies - the recommendations will be based on courses in the user's history compared to the history of other users awarded one or more the same competencies.
• Certifications - the recommendations will be based on courses in the user's history compared to the history of other users with one or more of the same certifications. 

Courses to Consider

• Consider ALL My Training - all courses in the user's history will be used in the analysis. This is the  default case.
• Consider Only Recently Completed Training (30 Days) - only courses completed in the past month will be used for the analysis.
• <Individual Courses listed> - the remainder of the drop-down options will list individual courses in the user's  history so that they can select an individual course for recommendations.

Display Limit

The number of recommendations returned is limited to the number selected in this field.  Typically, these are returned in the order of relevance.  The exception is the Random Recommendations focus.

Additional Recommended Course Information

Course Language

Previously, the courses only showed the primary language, and not any language bundles for the logged-in user’s language. This has been changed so courses with language bundles in the language selected by the logged-in user will display.  Courses without language bundles in the selected language will display the primary language bundle.  This is the same functionality as Catalog Browse and Catalog Search.

Catalog Visibility

Previously, all courses appeared, regardless of catalog permissions.  This has been changed to only allow courses visible to the learner via Search or Browse to appear for Recommendations.  These are courses that are configured to show in a catalog and assigned to catalogs that the user has permission to view.

Active Sessions

Classroom courses without active sessions will currently appear in results.  There is an existing system configuration "Show the 'Only show items with active schedule(s)' option" that controls what appears in search results.  This will also apply to the AI Assistant Recommendations.

If this is enabled, a new option will display allowing users to select whether or not to "Show only 'Active' sessions," which is the same functionality on the Search page.

About AI Assistant Recommendations

About the AI Assistant Recommendations Ratings Task

Configuring AI Assistant Recommendations