system

JP2026097278APending Publication Date: 2026-06-16SOFTBANK GROUP CORP
View PDF 1 Cites 0 Cited by

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
SOFTBANK GROUP CORP
Filing Date
2024-12-04
Publication Date
2026-06-16

AI Technical Summary

Benefits of technology

【0005】 本発明は、ユーザの興味データと過去の行動情報を基に個別の活動プランを生成する計算手段を備えたシステムである。さらに、外部情報源からのリアルタイムな環境データを取得し、そのデータを計算手段に提供する取得手段を含んでいる。この計算手段は、取得したデータとユーザのプロファイル情報を基に、最適なアクティビティプランを生成し、ユーザ端末に通知する。また、ユーザのフィードバックデータを収集し、計算手段にフィードバックを提供する評価手段も備えており、この情報を用いて機械学習モデルを更新することで、次回の活動プラン生成における精度を向上させる。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 2026097278000001_ABST
    Figure 2026097278000001_ABST
Patent Text Reader

Abstract

We provide the system. [Solution] A computational means for generating individual activity plans based on user interest data and past behavioral information, An acquisition means that acquires real-time environmental data from an external information source and provides that data to the calculation means, A notification means for notifying the user's terminal of the activity plan generated by the calculation means, A system including an evaluation means that collects user feedback data and provides feedback to the calculation means.
Need to check novelty before this filing date? Find Prior Art

Claims

1. A computational means for generating individual activity plans based on user interest data and past behavioral information, An acquisition means that acquires real-time environmental data from an external information source and provides that data to the calculation means, A notification means for notifying the user's terminal of the activity plan generated by the calculation means, A system including an evaluation means that collects user feedback data and provides feedback to the calculation means.

2. The system according to claim 1, wherein the calculation means optimizes the activity plan by applying a machine learning algorithm based on the user's interest data and real-time environmental data.

3. The system according to claim 1, wherein the evaluation means updates the machine learning model using the user's feedback data to improve the accuracy of the calculation means in generating the next activity plan.