---
title: "Request service cycle training"
slug: "ai-application-service-aitems-service-intervallearning"
updated: 2026-09-17T09:35:47Z
published: 2026-09-17T09:35:47Z
canonical: "api.ncloud-docs.com/ai-application-service-aitems-service-intervallearning"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://api.ncloud-docs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Request service cycle training

Available in Classic and VPC

Request that a service with a service type of `interval` train a dataset periodically.

## Request

The following describes the request format for the endpoint. The request format is as follows:

| Method | URI |
| --- | --- |
| PUT | /services/{serviceId}/schedule |

### Request headers

For headers common to all AiTEMS APIs, see [AiTEMS request headers](/docs/en/aiservices-aitems-overview#%EC%9A%94%EC%B2%AD%ED%97%A4%EB%8D%94).

### Request path parameters

You can use the following path parameters with your request:

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `serviceId` | String | Required | Service ID - See [Get service list](/docs/en/aiservices-aitems-service-list). - Only IDs of services with `type` of `interval` can be entered |

### Request query parameters

You can use the following query parameters with your request:

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `action` | String | Required | Whether to run cycle training - `start` \| `stop` - `start`: Run cycle training - `stop`: Stop cycle training |

### Request body

The following describes the request body.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `trainTypes` | Array | Required | Training request type - `personalRecommend` \| `relatedItem` \| `pop` - `personalRecommend`: personalized recommendations based on customer service users' past history - `relatedItem`: personalized recommendations based on an item's association history - `pop`: top item recommendations by rank |
| `description` | String | Optional | Training description |
| `hpConfig` | Object | Required | Hyperparameter optimization (HPO) settings information |
| `hpConfig.is_enabled` | Boolean | Required | HPO configuration status - `true` \| `false` - `true`: HPO configured, optimal training models can be implemented - `false`: HPO not configured, trained by AiTEMS' own internal algorithms |
| `hpConfig.{option}` | String, Long, Boolean | Optional | Configured HPO value - See [HPO](/docs/en/ai-application-service-aitems-service-intervallearning#HPO) for the HPO value information |

#### HPO

The following describes the configurable HPO values.

| Option name | Type | Required | Training type | Description |
| --- | --- | --- | --- | --- |
| `session_max_timestamp` | Long | Optional | Personalized recommendations, related item recommendations | Maximum idle time (in seconds) between actions to consider the same session - 10 - 86,400 (default: 1800) - Recommended to be set to 1800 or higher |
| `item_top_n` | Long | Optional | Personalized recommendations, related item recommendations | Maximum number of products to be used for recommendations - Utilize by popularity - 1000 - 500,000 (default: 20,000) |
| `min_item_cut` | Long | Optional | Personalized recommendations, related item recommendations | Product minimum appearance count - 1 - 1000 (default: 5) |
| `min_session_length` | Long | Optional | Personalized recommendations, related item recommendations | Minimum number of actions in a session - 2 - 1000 (default: 2) |
| `max_user_recommend_top` | Long | Optional | Personalized recommendation | Maximum number of recommendations per user - 1 - 1000 (default: 100) |
| `max_relate_recommend_top` | Long | Optional | Related item recommendation | Maximum number of related item recommendations per product - 1 - 1000 (default: 100) |
| `remove_history_item` | Boolean | Optional | Personalized recommendations, related item recommendations | Whether to remove previously recommended products from personalized recommendations list - `true` \| `false` (default) - `true`: Remove previously recommended products from the recommendations list - `false`: Include previously recommended products in the personalized recommendations list |
| `group_column` | Array | Required | Popular item recommendation | List of popular extract group columns - USER_ID, ITEM_ID, and TIMESTAMP can't be selected |
| `target_column` | String | Optional | Popular item recommendation | Popular extract target columns - USER_ID, ITEM_ID, and TIMESTAMP can't be selected - Up to 100 can be entered |
| `max_group_recommend_top` | Long | Optional | Popular item recommendation | Maximum number of popular products per group - 1 - 1000 (default: 100) |

### Request example

The following is a sample request.

```
curl --location --request PUT 'https://aitems.apigw.ntruss.com/api/v1/services/6wxgu******/schedule?action=start' \
--header 'x-ncp-apigw-timestamp: {Timestamp}' \
--header 'x-ncp-iam-access-key: {Access Key}' \
--header 'x-ncp-apigw-signature-v2: {API Gateway Signature}' \
--header 'Content-Type: application/json' \
--data '{
    "trainTypes": [
        "pop"
    ],
    "hpConfig": {
        "is_enabled": false
    }
}'
```

## Response

The following describes the response format.

### Response body

The following describes the response body.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `serviceId` | String | - | Service ID |
| `name` | String | - | Service name |
| `description` | String | - | Service description |
| `status` | String | - | Service status - `scheduled` \| `scheduledLearning` \| `learnable` \| `learning` \| `deleting` \| `deleted` \| `disable` \| `drafted` \| `requestLearning` \| `datasetRequired` - `scheduled`: scheduled - `scheduledLearning`: scheduled training in progress - `learnable`: trainable - `learning`: training in progress - `deleting`: deleting - `deleted`: deleted - `disable`: training unavailable - `drafted`: draft status - `requestLearning`: training requested - `datasetRequired`: no dataset specified after service creation |
| `datasets` | Array | - | Information of dataset set to service: [datasets](/docs/en/ai-application-service-aitems-service-intervallearning#datasets) |
| `hpConfig` | Object | - | Hyperparameter optimization (HPO) settings information |
| `hpConfig.is_enabled` | Boolean | - | HPO configuration status - `true` \| `false` - `true`: HPO configured, optimal training models can be implemented - `false`: HPO not configured, trained by AiTEMS' own internal algorithms |
| `hpConfig.{option}` | String, Long, Boolean | - | Configured HPO value - See [HPO](/docs/en/ai-application-service-aitems-service-intervallearning#HPO) for value details |
| `infers` | Array | - | Training result information: [infers](/docs/en/ai-application-service-aitems-service-intervallearning#infers) - Displayed only if `type` is `interval` |
| `createdDate` | String | - | Service creation date and time |
| `updatedDate` | String | - | Last update date and time of the service |
| `type` | String | - | Service type - `batch` \| `interval` - `batch`: one-time training upon execution - `interval`: Retrain at regular intervals after execution |
| `learningInterval` | String | - | Dataset update cycle |
| `scheduledDate` | String | - | Dataset update scheduling time |

#### `datasets`

The following describes `datasets`.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `datasetId` | String | - | Dataset ID set to the service |
| `type` | String | - | Dataset type set to the service - `user` \| `item` \| `interaction` - `user`: data containing user information (age, gender, etc.) - `item`: data with product-related information (price, release date, category, etc.) - `interaction`: data that captures the history of interactions between users and products |
| `name` | String | - | Dataset name set to the service |
| `schemaName` | String | - | Dataset schema name set to the service |
| `status` | String | - | Status of dataset set to the service - `learnable` \| `disable` \| `uploading` \| `updateRequired` - `learnable`: training available - `disable`: training unavailable - `uploading`: uploading - `updatedRequired`: updated dataset registration required (automatically registered when training) |
| `createdDate` | String | - | Creation date and time of dataset set to the service |
| `updatedDate` | String | - | Last update date and time of dataset set to the service |

#### `infers`

The following describes `infers`.

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `dataType` | String | - | Dataset type of training result - `user` \| `item` \| `interaction` - `user`: data containing user information (age, gender, etc.) - `item`: data with product-related information (price, release date, category, etc.) - `interaction`: data that captures the history of interactions between users and products |
| `trainVersion` | String | - | Training result version |
| `status` | String | - | Training result status - `enable` \| `waiting` \| `pending` \| `processing` \| `updateFailed` \| `disable` - `enable`: update available - `waiting`: waiting for update - `pending`: pending update - `processing`: updating - `updateFailed`: update failed - `disable`: update unavailable |
| `rowCount` | String | - | Result data count |
| `createdDate` | String | - | Data creation date and time |
| `updatedDate` | String | - | Last update date and time of data |

### Response status codes

For response status codes common to all AiTEMS APIs, see [AiTEMS response status codes](/docs/en/aiservices-aitems-overview#%EC%9D%91%EB%8B%B5%EC%83%81%ED%83%9C%EC%BD%94%EB%93%9C).

### Response example

The following is a sample example.

```
{
    "serviceId": "6wxgu******",
    "name": "service2",
    "description": "",
    "status": "scheduled",
    "datasets": [
        {
            "datasetId": "bu457******",
            "type": "interaction",
            "name": "interaction_dataset",
            "schemaName": "interaction_schema",
            "status": "learnable",
            "createdDate": "2024-07-30T09:49:19.254",
            "updatedDate": "2024-07-30T09:49:35.364"
        },
        {
            "datasetId": "g8rf6******",
            "type": "item",
            "name": "item_dataset",
            "schemaName": "item_schema",
            "status": "learnable",
            "createdDate": "2024-07-29T16:46:35.968",
            "updatedDate": "2024-07-30T08:57:35.209"
        },
        {
            "datasetId": "oeq4i******",
            "type": "user",
            "name": "user_dataset",
            "schemaName": "user_schema",
            "status": "learnable",
            "createdDate": "2024-07-30T08:58:00.662",
            "updatedDate": "2024-07-30T08:58:35.205"
        }
    ],
    "hpConfig": {
        "is_enabled": false
    },
    "infers": [],
    "createdDate": "2024-07-30T10:28:57.825",
    "updatedDate": "2024-07-30T10:29:21.550",
    "type": "interval",
    "learningInterval": "hour1",
    "scheduledDate": "2024-07-30T11:25:36.558"
}
```