system

JP2026097266APending Publication Date: 2026-06-16SOFTBANK GROUP CORP

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、ユーザの位置情報や生体情報、スケジュール情報を収集し、これらのデータを基にユーザの特性を分析するシステムを提供する。このシステムには、分析結果に基づいてユーザに個別化された提案を生成し通知する手段が含まれている。さらに、ユーザからのフィードバック情報を収集し、提案の生成精度を向上させるための手段を備えている。この過程で、外部サーバを利用して収集データおよび提案を処理し、外部APIと連携することにより動的な情報の取得を実現する。また、機械学習モデルを用いてユーザの好みや習慣をモデル化することで、より精度の高い特性分析を行うことができる。

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Abstract

We provide the system. [Solution] Means for collecting location information and biometric information obtained from the user, A means of analyzing user characteristics based on collected location information, biometric information, and schedule information, A means for generating personalized suggestions for users based on the analysis results, A means of notifying the user of the generated suggestions, A means for collecting user feedback information and utilizing that feedback information to improve the accuracy of generating the aforementioned proposals, A system that includes this.
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Claims

1. Means for collecting location information and biometric information obtained from users, A means of analyzing user characteristics based on collected location information, biometric information, and schedule information, A means for generating personalized suggestions for users based on the analysis results, A means of notifying the user of the generated suggestions, A means for collecting user feedback information and utilizing that feedback information to improve the accuracy of generating the aforementioned proposals, A system that includes this.

2. The system according to claim 1, wherein collected data and suggestions are processed on an external server and interact with an external API to dynamically retrieve information.

3. The system according to claim 1, which uses a machine learning model to model user preferences and habits in user characteristic analysis.