---
sourceDocument: Australia Employee Service Management
sourceDocumentLink: https://www.servicenow.com/docs/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


---

# Train the similarity solution for similar closed Universal Requests

# Train the similarity solution for similar closed Universal Requests {#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

Train the Similar Closed Universal Request solution definition to identify and
predict similar Universal Requests that are closed based on the short description,
description, and the assignment group of the Universal Request created. When an agent opens
a universal request, similar closed universal requests can be searched in the Related Search
section of the Universal Request record.

## Antes de Iniciar

Role required: admin or sn_un_req.ur_admin

Ensure that you have installed
Predictive Intelligence (com.glide.platform_ml) and Predictive Intelligence for
(com.snc.universal_request.ml) plugins are activated.

This solution is
available only if you enable the Enable to view similar closed Universal Request recommendations
(sn_uni_req.similar_closed_universal_request) property. For more information on this
property, see [Universal Request properties](https://www.servicenow.com/docs/JssmB6MUAPbOeGaT0m7f3w "Administrators can use Universal Request properties to determine and configure the application behavior.").  
Nota:  
A minimum of ten thousand records are needed to train the classifications.

## Procedimento

1. Navigate to AllPredictive IntelligenceSimilaritySolution Definitions.
2. In the Similarity Definitions list, search for and select the Similar Closed Universal Request (ml_x_snc_sn_uni_req_global_similar_closed_universal_request) solution.
3. On the form, verify the default field values and customize the solution as required.  
   For more information about the Similarity Definition form fields, see [Create and train a
   similarity solution](https://www.servicenow.com/docs/access?context=create-similarity-solution&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US).
{#train-similarity-for-closed-ur__steps_mt5_mt4_3mb}