Creating and managing service

Available in Classic and VPC

Creating and managing services describes how to create, modify, and delete services.

Create service

Service is the basic unit for using AiTEMS. It can be managed by service name, and a unique service ID is assigned when a service is created.
The following describes how to create service.

1. Click the environment you are using in the Region menu and Platform menu of the NAVER Cloud Platform console.
2. Click the Services > AI Services > AiTEMS menus in that order.
3. Click the Service menu.
4. Click the [Create service] button.
5. When the pop-up window to create service appears, enter the service name and select the learning type.
   • Service name: this is the criterion for managing the service. Enter between 3 and 20 characters.
     • It must start with English or '' and only English, numbers, '', '-' can be entered.
   • Learning type: select between batch (recommendation results) and cycle (recommended results in real time) as a type of learning the dataset.
     • For more information on learning types, see Learning type.
   • Service description: enter the description of service
   • After creating a service, the service name and Learning type cannot be modified.
6. Click the [Create] button.
   • The service is created and added to the list of services.

Learning type

AiTEMS offers two learning types. Learning proceeds according to the learning type selected when creating the service. A description of each learning type is as follows.

• Batch: learning proceeds based on the dataset uploaded to the console. Once the learning is complete, it will not proceed with further learning. If you need to learn new data later, you can upload new data and learn manually. Therefore, in the case of batch learning, only the learned data is reflected in the recommendation results.
• Cycle: for the first learning, learning is performed based on the dataset uploaded to the console. Afterwards, new data can be uploaded through the API, and the new data is automatically updated to the existing learning data according to the update cycle. Even if there is no new data, when it is time to update, it is reviewed to see if there is data to be updated, and at this time, the service and learning status is displayed as learning. Therefore, in the case of cyclic learning, new data is reflected in real-time recommendation results through continuous updates.

Edit service

You can edit the description of the service.

The following describes how to edit service.

1. Click the environment you are using in the Region menu and Platform menu of the NAVER Cloud Platform console.
2. Click the Services > AI Services > AiTEMS menus in that order.
3. Click the Service menu.
4. Click the desired service to edit from the list of services.
5. Click the [Edit] button.
6. After editing the service description, click the [Edit] button.

Delete service

The following describes how to delete service.

1. Click the environment you are using in the Region menu and Platform menu of the NAVER Cloud Platform console.
2. Click the Services > AI Services > AiTEMS menus in that order.
3. Click the Service menu.
4. Click the desired service to delete from the list of services.
5. Click the [Delete] button.
6. When the pop-up window to delete service appears, enter the service name to delete and click the [Delete] button.
   • The service is deleted from the list and is no longer visible.