Recommended for you

  • Release version: Washingtondc
  • Updated February 1, 2024
  • 2 minutes to read
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    This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.

    Summary of Recommended for you

    The "Recommended for you" widget in Employee Center displays personalized catalog items and knowledge articles tailored to each employee based on their profile and usage patterns. This feature enhances user experience by providing relevant content directly on the portal and mobile page.

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    Key Features

    • Utilizes machine learning algorithms to recommend items based on the Employee or HR Profile.
    • Displays up to five top recommendations, including a detailed card view or a simple list view.
    • Content recommendations rely on popularity and user entitlements, with ML-based recommendations available for specific customer tiers.
    • Requires an active taxonomy and proper configuration for visibility on the Employee Center home page.

    Key Outcomes

    By implementing the "Recommended for you" widget, ServiceNow customers can expect:

    • Improved access to relevant knowledge articles and catalog items, leading to increased employee engagement.
    • Enhanced personalization that drives efficiency and satisfaction in service delivery.
    • Ability to configure and modify the widget settings to align with organizational needs and user preferences.

    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
    To make the widget visible on the Employee Center home page:
    1. Verify that an active taxonomy is associated to the Employee Center portal record​.
    2. Verify that you run Set primary topics for Employee taxonomy manually after installing the application.
    3. Verify you have articles or catalog item with non-empty Taxonomy Topic field​.
    For more information, see Configure the Recommended for you

    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.
    Note:
    The sys property (enable_topic_content_lang_fallback) disables the language fallback for KB articles, feature content in topics, and the Recommended for you widget. When the value is false, content isn't evaluated from the fallback language and only user preference language content is displayed.