Exploring Personalized Recommendations

Objective

After completing this lesson, you will be able to explore personalized recommendations in SAP SuccessFactors Learning.

Personalized Recommendations

Powered by the machine learning technology of SAP AI Business Services, personalized recommendations are generated for employees based on their profile information, growth portfolio attributes, and their system interactions and activities. The Growth Portofolio displays learning suggestions for skills and the current proficiency level under the new Advance My Proficiency section.

Skills-based learning recommendations are also included if you have enabled Talent Intelligence Hub and associated skills and other attributes with your learning activities (such as Items and Programs) and users have maintained skills and other attributes in their Growth Portfolio.

The SAP AI Business Services utilizes user data to retrieve, analyze, and identify patterns. The data is used to train machine learning algorithms, resulting in personalized and unique recommendations for the users that enhance job performance, foster learning from each other, and upskill.

Employees can use the following features to explore their personalized recommendations:

Explore More: View all the recommendations to see if any are relevant. Choose a card to learn more about the recommendation. Visit the page regularly to explore new possible recommendations.

Note

A recommendation will not be created for learning already on their learning plan, bookmarked, or completed.

Bookmark recommendations: Save a recommendation for later by choosing the bookmark icon on the card. Bookmarked items will appear in the Latest Bookmarks section of the new Learning Home Page.

Mark recommendations as not interested: If a particular recommendation is not relevant or interesting, mark it as not interested.

Access their recommendations from the SAP SuccessFactors app in Microsoft Teams in the Recommended for You section.

Personalized Recommendations - Best Practices

If enabled, personalized learning recommendations powered by machine learning capabilities will enable users to find relevant courses from their learning libraries without needing to search the library. Recently, this feature was enhanced as part of the New Learning Experience.

Some recommendations as best practices include:

Specify meaningful Item Titles and Descriptions to help users decide if the course is relevant to them and so that the Recommendations engine will generate better quality topics.
Specify Course Duration (Learning→Items→Duration)
Enable Item Rating feature.
Use contextual thumbnail images rather than a default one for a better user experience.
Activate saving library search phrases to enable the recommendations engine to increase the relevancy of the recommendations.

Custom Menus and Landing Pages

Administrators can add custom activity menus and custom landing pages. The custom pages and links are displayed to the user in the Activities drop-down menu.

Custom landing pages and custom quick links are highlighted in the Activities drop-down menu.

Menu Options, Landing Pages, and User Roles

You can disable any of the menus that are not meaningful or relevant to your users. You will want to determine which of these activities should be enabled for your users.

Curricula
Learning History
Find Learning
Recommendations
Self Assigned
QuickGuides
Collections
Approvals
External Learning Requests (U.S. Government SF182)
Options and Settings
Order Status (Commerce)
Vouchers (Commerce)
Add to History
Reports
Training Planner (for budgeting and time planning)
Custom Easy Links and Landing Pages

SAP SuccessFactors Employee Profile: Display Learning History

Customers may want to see the courses an employee has recently taken as part of the SAP SuccessFactors Employee Profile. This is available in all sections of an employee’s files (Summary, Scorecard, etc.).

Note

Modification of the SAP SuccessFactors Succession Data Model XML is required to enable this feature. As customers cannot access provisioning, you will need to work with an SAP SuccessFactors implementation consultant to enable this.

The Latest People Profile.

On the Latest People Profile users can view more enhanced data for the following:

Learning History: Allows you to view your four most recently completed learning activities, displaying their titles and completion dates. These activities are sorted by your completion date, with the most recently completed ones appearing at the top.
Required Learning: Allows you to view the four most recent pending training, displaying the course titles and their due dates. The items are sorted in reverse chronological order, with the ones that are due first appearing at the top. Items without an associated due date are listed last
Note
Currently, only self-view is supported, allowing employees to view only their learning history. Managers, administrators, and other roles don’t have access to view the Learning history of other employees.

Summary

Personalized learning recommendations, powered by SAP AI Business Services, generates suggestions based on user profiles, skills, and system interactions to enhance upskilling and job performance.
Users can view, bookmark, or dismiss recommendations and access them via the SAP SuccessFactors Mobile app or the Learning Home Page.
As a best practice ensure meaningful titles, descriptions, and images for courses, enable item ratings, and activate search phrase saving to improve recommendation quality.
Customize user menus by enabling or disabling activities such as Curricula, Learning History, QuickGuides, Collections, and more, while adding custom pages and quick links as needed.
Employees can view recent learning activities and pending items in their Latest People Profile, sorted by completion or due dates.

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