Configure TF-IDF for solutions

  • Rversion finale: Australia
  • Mis à jour 12 mars 2026
  • 1 minute de lecture

    • Apply Term Frequency–Inverse Document Frequency (TF-IDF) encoding to classification, clustering, or similarity solutions for Predictive Intelligence.

    Avant de commencer

    Remarque :
    Configuring advanced settings on your ML solutions is optional. If you choose to configure any of these settings, make sure you're well informed regarding the technology you're enabling in the solution, and that you have a use case that benefits from what the technology offers. For more information, see https://www.servicenow.com/community/intelligence-ml-articles/dive-deeper-with-clustering-advanced-parameters/ta-p/2695847.
    • Create a classification, clustering, or similarity solution definition or use an existing one.
    • Role required: admin or ml_admin

    Pourquoi et quand exécuter cette tâche

    Predictive Intelligence uses paragraph vector word embedding by default in its classification and similarity frameworks, which is highly effective for processing data comprised of primarily human-readable content. However, TF-IDF might return better prediction results for records that have machine-generated content, such as alerts and error messages for log files. Choose advanced settings that are appropriate for the kind of data your solution is processing.

    Remarque :
    The steps for configuring TF-IDF are the same for all model frameworks, but TF-IDF support for clustering solution definitions is applicable only if you have a Professional subscription.

    Procédure

    1. Navigate to a Solution Definition, such as All > Predictive Intelligence > Similarity > Solution Definitions.
    2. Open a solution definition form.
      In this example scenario, you use a CMDB similarity definition form.
      An example similarity solution definition on which you apply the TF-IDF parameter.
    3. On the Advanced Solution Settings tab in the Related Links section of the form, click New.
      How to select the Solution Parameters option for creating the parameter.
    4. Create a parameter record.
      1. In the Solution Parameters field, click the search icon.
      2. In the ML Solution Parameters screen, select Use tf-idf to generate vectors.
      How to create the parameter record by selecting the Search button, and then selecting the TF-IDF key Short Description.
    5. Click Submit.

      The Advanced Solution Setting record screen refreshes.

      See the new Advanced Solution Setting record you created.
    6. Click Submit.

      Result: TF-IDF is configured for your similarity solution. Its solution parameter appears on the Advanced Solution Settings tab of your similarity definition form.

      This image shows the Advanced Solution Setting record for TF-IDF.