--- title: Select option for Recommended Actions application description: There are two options for the Recommended Actions application: String-based and ML-based. These options decide the kind of data that you get for your search. It displays data about automations in all states except the Published state. locale: en-US canonical_url: https://www.servicenow.com/docs/r/australia/integrate-applications/automation-center/select-option.html release: australia product: Automation Center classification: automation-center topic_type: task last_updated: "2026-03-12" reading_time_minutes: 1 breadcrumb: [Configuring Recommended Actions, Configure, Automation Center, Workflow Data Fabric] --- # Select option for Recommended Actions application There are two options for the Recommended Actions application: String-based and ML-based. These options decide the kind of data that you get for your search. It displays data about automations in all states except the **Published** state. ## Before you begin Install the Recommended Actions application. For more information, see [Install Recommended Actions application](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/integrate-applications/automation-center/install-ra.md). Recommended Actions searches for matching string in **Process name**, **Description**, and **Applications used** fields of the Automation requests form, and **Automation name**, **Description**, and **Source** in the Automation Attribute table. - String-based: Searches for the exact string in the same order as in the search criteria. This is a good option if you want to use short phrases or single words as your search criteria. By default, this option is enabled. - ML-based: This is helpful if you have too much data and your search criteria is long. To use the ML-based recommendations, you need at least 10 records in Automation Center. Role required: sn\_ac.automation\_technical\_user and sn\_nb\_action.next\_best\_action\_author ## Procedure 1. Navigate to **All** > **Recommended Actions** > **Recommendations**. 2. Mark the **Active** flag to **true** for the required options. **Note:** To identify the options, check the names. The names that have **ML** appended at the end are for ML-based recommendations. 3. If you have chosen ML-based option, then perform the following steps: 1. Navigate to **All** > **Predictive Intelligence** > **Similarity** > **Solution** > **Definition**. 2. Open **Automation request process name similarity** and **Automation attribute automation name** separately. 3. Select **Update & Retrain** for each one of them. After selecting **Update & Retrain**, the training will start in the scheduler. After it’s complete, it displays **Solution complete**. **Parent Topic:**[Configuring the Recommended Actions application with Automation Center](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/australia/markdown/australia/integrate-applications/automation-center/config-ra.md)