> For the complete documentation index, see [llms.txt](https://documentation.pushly.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentation.pushly.com/pushly-ja/platform/journeys/no.md).

# 推奨通知の送信

おすすめ通知は、個々の関心や過去の行動に基づいて自動生成され、ユーザーに送信されるパーソナライズされたプッシュ通知です。アルゴリズムとユーザーデータを活用して、手動介入なしに記事や製品などの関連性の高いコンテンツをおすすめします。

## レコメンデーション連携

### BlueConic

BlueConic連携を使用して新しいおすすめ通知を設定するには、こちらに記載されている手順に従ってください - [BlueConicのおすすめ通知を設定する](/pushly-ja/platform/purattofmu/blueconic/kyanpndeblueconicwosuru.md)


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://documentation.pushly.com/pushly-ja/platform/journeys/no.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.