---
sourceDocument: Australia Conversational Interfaces
sourceDocumentLink: https://servicenow-prod.fluidtopics.net/r/pt-BR/conversational-interfaces

 Release :

    - australia

ft:locale :

    - pt-BR

ft:publication_title :

    - Australia Conversational Interfaces

ft:clusterId :

    - convint

bundleId :

    - convint

workflow :

    - Platform


---

# Using Virtual Agent Topic Recommendations

# Using Virtual Agent
Topic Recommendations {#ariaid-title1}

* Versão de lançamento: Australia
* 
* Atualizado 12 de mar. de 2026
* 
* ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 3 min. de leitura

Use the Topic Recommendations app to identify pre-built Virtual Agent topics that can be quickly implemented in your organization. Topic Recommendations uses Intent Discovery to analyze data from
your organization and to find relevant pre-built topics that your organization can benefit from,
and new topics that would be useful to create.
The Topic Recommendations app lets you evaluate the common use cases that Virtual Agent can help resolve or deflect. You can use Topic Recommendations with Virtual Agent topics that use either keyword or NLU topic discovery. Use it to do the following:

1. Choose the ServiceNow data to analyze (configure analysis).
2. Analyze your existing data (run the analysis you configured).
3. Review the analysis results and use pre-built solutions:
   * Duplicate a pre-built topic suggestion, such as a topic from ITSM Virtual Agent Conversations (available from the ServiceNow Store).
   * \[NLU only\] Add an intent to your model and a new empty topic. You must provide the flow for the new topic in Virtual Agent Designer.
   {#va-topic-recommendations__ul_r3t_gmz_nrb}
{#va-topic-recommendations__ol_cgf_xlz_nrb}

The Topic Recommendations app requires NLU Workbench and ITSM
Virtual Agent Conversations from the ServiceNow Store. The Australia release of Topic Recommendations supports only
ITSM Virtual Agent recommendations. Although Topic Recommendations uses NLU
Workbench for machine learning purposes, it does not require that NLU be enabled in Virtual Agent.

For information about the apps that are automatically installed with Topic Recommendations, see [Update Topic Recommendations](https://servicenow-prod.fluidtopics.net/r7ozS_4OS18~kui6Z5jKmg "You can install updates to the Topic Recommendations application (com.snc.va_topic_recommender) if you have the admin role.").

## Required plugins {#va-topic-recommendations__section_vsp_bfb_ttb}

* Ensure that the application and all of its associated ServiceNow Store applications have valid ServiceNow entitlements. For more information, see [Get entitlement for a ServiceNow
  product or application](https://store.servicenow.com/$appstore.do#!/store/help?article=KB0030186).
* Topic Recommendations requires the following plugins and ServiceNow Store applications. Ensure that they are activated before you install Topic Recommendations.

  Required ServiceNow plugins
  :

      Glide Virtual Agent (com.glide.cs.chatbot)
      :   Activates all the plugins needed to run Virtual Agent Pro.
          For details, see [Activate Virtual Agent](https://servicenow-prod.fluidtopics.net/ZyW2EmnO~~bcAp_DxnLJTQ "You can activate the Glide Virtual Agent plugin (com.glide.cs.chatbot) if you have the admin role. This plugin automatically activates other necessary plugins if they are not already active.").  
          Nota:  
          Starting with the San Diego release, the Topic Recommendations app is automatically installed when you initially activate the Glide Virtual Agent plugin (com.glide.cs.chatbot). Subsequent updates for this app must be installed from the ServiceNow Store.

      NLU Workbench (NLU topic discovery only)
      :   Activates the plugins needed to run Natural Language Understanding in your
          instance. For more information, see [Activate the NLU
          Workbench](https://www.servicenow.com/docs/access?context=activate-nlu-workbench&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US).

  Required ServiceNow Store applications
  :

      Intent Discovery (NLU discovery
      only)
      :   Identifies user intents from analyzing incident/case data. To learn more,
          see [Intent
          Discovery](https://www.servicenow.com/docs/access?context=intent-discovery&version=australia&pubname=australia-intelligent-experiences&ft:locale=en-US).

      ITSM Virtual Agent Conversations
      :   Provides pre-built IT service management conversations to help your
          organization quickly deploy automated self-service conversations. For more
          information, see [ITSM Virtual
          Agent](https://www.servicenow.com/docs/access?context=itsm-virtual-agent&version=australia&pubname=australia-it-service-management&ft:locale=en-US).
{#va-topic-recommendations__ul_uvw_xy3_m4b}

## Items installed with Topic Recommendations {#va-topic-recommendations__section_i5c_qfb_ttb}

The following items are installed with Topic Recommendations:

* Scheduled jobs: Run Topic Recommendation Reports for running Topic Recommendation reports at scheduled times.
* The following tables are installed:{#va-topic-recommendations__table_xc4_gtn_44b__entry__2}

  | Table | Description |
  |-|-|
  | Default settings for Topic Recommendations \[sn_topic_recommend_default_setting\] | The source data (table and text field), taxonomy, and filters used when running a Topic Recommendations analysis |
  | Installed recommended topics \[sn_topic_recommend_topic_staging\] | Topics generated for recommended topics |
  [ ]

  {#va-topic-recommendations__table_xc4_gtn_44b}
{#va-topic-recommendations__ul_wvw_xy3_m4b}

## Request apps on the Store {#va-topic-recommendations__section_ozy_bc4_l4b}

Visit the [ServiceNow Store](https://store.servicenow.com/sn_appstore_store.do#!/store/home) to view all the available apps, and for information about submitting requests to the store. For cumulative release notes information for all released apps, see the [ServiceNow Store version history release notes](https://docs.servicenow.com/bundle/store-release-notes/page/release-notes/store/sn-store-release-notes.html).{#va-topic-recommendations__inline-send-to-store}

## What to do {#va-topic-recommendations__section_hql_5qx_m4b}

* [Get started with Topic
  Recommendations](https://servicenow-prod.fluidtopics.net/KSv~FmODLOEjjMUh04rlvQ "To get recommended topics based on your data, configure analysis reports, run the reports, and then review the results. You can either add new topics to Virtual Agent or link a recommendation to an existing topic.")
* [Define default recommendation
  settings](https://servicenow-prod.fluidtopics.net/LL3v1e0j58Zrzc1wmWwbQw "To generate Topic Recommendations, specify a default data source (ServiceNow table and field) and the conditions for filtering the data records.")
* [Run a Topic Recommendation analysis](https://servicenow-prod.fluidtopics.net/OxnWJ6ZyAJE9Lb~aukkOhQ "Generate a report that analyzes a given data source and identifies the appropriate Virtual Agent pre-built topics that you can implement. For intents that do not have matching pre-built topics, the report identifies the user intents (topics) that you can create.")
* [Add recommended topics and intents to Virtual Agent](https://servicenow-prod.fluidtopics.net/Y9P0oqiil_3cI26s1bEH7w "After you run and review a Topic Recommendations report, select the pre-built topics and suggested intents to add to Virtual Agent.")
* [Link a
  topic recommendation to an existing Virtual Agent topic](https://servicenow-prod.fluidtopics.net/vxD1mHk0txopJHOX88n02w "Instead of creating a new topic from a topic recommendation, you can link it to an existing topic. This lets Virtual Agent know that you have a topic that addresses the recommendation.")
* [Unlink a topic
  recommendation from an existing Virtual Agent topic](https://servicenow-prod.fluidtopics.net/v7099QpgUxtcoAJ37tmgHQ "You can unlink a topic recommendation from a topic. This lets you link it to a new or alternate topic.")
* [Troubleshoot issues with Topic Recommendations](https://servicenow-prod.fluidtopics.net/QM2z8TY4yl1j5wUtYQb2rg "Investigate and resolve unexpected behavior with Topic Recommendations, or find answers to common questions.")
{#va-topic-recommendations__ul_l5d_1pz_n4b}