Recommended for you
Summarize
Summary of Recommended for You
The Recommended for You widget in ServiceNow displays relevant catalog items and knowledge articles tailored to each employee. It utilizes machine learning algorithms based on Employee or HR profiles to recommend content that is popular among similar users. The widget can show recommendations based on popularity linked to the user's license entitlements, ensuring that the content is pertinent to the individual employee.
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Key Features
- Content Personalization: Recommendations are generated based on user profiles, highlighting the most accessed items by similar users.
- Visual Representation: The widget displays items in a detailed card view with titles, descriptions, images, and a simpler list view.
- Default Visibility: By default, the top five recommendations are shown.
- Preview Information: Users can preview knowledge articles and catalog items, including descriptions and prices.
- Configuration Options: Administrators can configure widget settings to adjust the displayed content based on view counts or request frequencies.
Key Outcomes
To effectively use the Recommended for You widget, ensure that:
- You are on Employee Center version 23.0.7 or later.
- Machine learning recommendations are activated for EC Pro customers or those with specific PI entitlements.
- Employee Profile is enabled to facilitate tailored recommendations.
- An active taxonomy is linked to the Employee Center portal record and primary topics are set.
With these configurations, the widget can enhance employee engagement by providing quick access to relevant knowledge and catalog items, ultimately improving satisfaction and efficiency within the ServiceNow platform.
Recommended for you displays catalog items and knowledge articles, enabling you to view information that is most relevant to you.
Content recommendations
This widget highlights the most relevant catalog items and knowledge articles for the employee:- The Recommended for you widget can use an ML algorithm-based on Employee Profile or HR Profile to show popular content accessed by users having similar profile.
- Recommended items are populated either based on ML or popularity of items based on your license entitlements. Underlying table for calculating similar user is determined by Employee Profile or HR profile.Note:When you install Employee Profile, the recommendations are populated based on the Employee Profile table.
- The visual representation of items has a detailed card view with title, description, image, and a simple list view of only titles.
- Employees can view related articles and catalog items on the portal home page and on ServiceNow mobile page.
- By default, the top five recommendations are visible on the widget. The widget provides users with a preview of a knowledge article with the title, description, and other useful information. Similarly, the catalog items show the description and the price of the product, if any.
Prerequisites
Learn about the version, license, and other requirements to use Recommended for you.- The widget is available for Employee Center versions 23.0.7 and later. Note:ML-based recommendations are available only for EC Pro customers or PI entitlement such as HRSD Pro, ITSM Pro, LSD, WSD.
- Enable Employee Profile first to activate recommendations based on the Employee Profile table. Employee Profile is used to formulate recommendations that have similar profile users. For more information, see Manage the employee profile AI and ML model
- Verify that an active taxonomy is associated to the Employee Center portal record.
- Verify that you run Set primary topics for Employee taxonomy manually after installing the application.
- Verify you have articles or catalog item with non-empty Taxonomy Topic field.
How Recommended for you works
Administrators, developers, and advanced users can configure the widget options. Recommended for you highlights the most viewed knowledge article and most requested catalog items across all employees for a time period defined in the Modify the Recommended for you widget display by the portal administrator.- Knowledge articles recommendations are based on the view count of article.
- Catalog item recommendations are based on the number of times it is requested for.
- The recommendations associated to the portal taxonomy are displayed on the home page.