---
sourceDocument: Australia Employee Service Management
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/employee-service-management

 Release :

    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Employee Service Management

ft:clusterId :

    - emplsm

bundleId :

    - emplsm

workflow :

    - Employee


---

# HR PIWB template: Recommend similar cases by employee profile

# HR PIWB template: Recommend similar cases by employee profile {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 min. de leitura

Use the classic setup template to configure and train your Similarity solution template with machine learning model to recommend top relevant articles and catalog items based on a similar employee profile for content discovery
and personalized experience.

## Antes de Iniciar

Role required: sn_piwb_hr_content.admin

## Por Que e Quando Desempenhar Esta Tarefa

Discover all the users who have a similar profile as the employee. Identify the top viewed knowledge articles and top submitted catalog items by those users.

## Procedimento

1. Navigate to AllPredictive Intelligence WorkbenchUse CasesCreate New from Templates.
2. From the templates list, go to Employee profile based recommendation template and click Start.  
   A pop-up with model name appears. This use case is handled in the classic Predictive Intelligence. You will be taken there to complete setup. You can perform the following steps:
   1. Ensure you click View product documentation for setting up this use case to review the instructions on how to configure the solution definition.  
      Nota:  
      Ensure you review and understand the documentation for creating the solution definition.
   2. Click Take me there to get started with the solution definition.
   {#hr-piwb-similar-profile__ul_hqv_g34_2qb}  
   Machine Learning Solutions landing page appears.Figura 1. HR ML use cases
3. Go to Similarity and click Configure.  
   The solution definition section appears.
4. On the form, verify the default field values and customize the solution as required.  
   For more information about the Clustering solution definition form fields,
   see [Create and train a clustering solution](https://www.servicenow.com/docs/access?context=create-clustering-solution&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US) and [Test a classification solution prediction](https://www.servicenow.com/docs/access?context=test-solution-prediction&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US).{#hr-piwb-similar-profile__p_end_nfg_h1c}  
   Nota:  
   For details regarding trained use case integration implementation, see Predictive Intelligence Workbench integration and customization.
{#hr-piwb-similar-profile__steps_vys_jpn_qlb}

## Resultado

When the configuration is complete, the solution displays the top three knowledge articles and top three catalog items to the employee based on a similar employee profile. For more information, see [Discovering knowledge articles and catalog items for employees](https://servicenow-prod.fluidtopics.net/kqCa6tCNQTdf4KRt83ylEA "Discover all the users who have a similar profile as the employee who has logged in to Employee Service Center. Identify the top viewed knowledge articles and top submitted catalog items by those users. Display the top three knowledge articles and top three catalog items to the employee.").

## O que Fazer Depois

You can verify the integration status from HR AdministrationHR AI ConfigurationsSolution definition. The use case is now mapped to the selected solution definition.
**Tópicos relacionados**   

* [Predictive Intelligence](https://www.servicenow.com/docs/access?context=predictive-intelligence&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US)
* [Get started with Predictive Intelligence](https://www.servicenow.com/docs/access?context=install-predictive-intelligence&version=australia&pubname=australia-intelligent-experiences&section=get-started-predictive-intelligence&ft:locale=en-US)