system

JP2026103503APending Publication Date: 2026-06-24SOFTBANK 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
2024-12-12
Publication Date
2026-06-24

AI Technical Summary

Benefits of technology

【0005】 本発明は、ユーザーの履歴情報を収集する手段と、膨大な作品データを前処理して形式を統一する手段を具備するシステムを提供する。さらに、前記ユーザーの履歴情報及び前記作品データを基に機械学習モデルを生成する手段を用いることで、ユーザーに最適な作品を推薦することができる。加えて、作品の価値を市場トレンドに基づいて評価する手段を備え、その精度を向上させるためにユーザーのフィードバックを取得し、機械学習モデルを更新する機能を有する。このシステムにより、効率的かつ客観的にアート作品の推薦と価値評価を行い、ユーザーの個別ニーズに応じた展示体験を提供することが可能となる。

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure 2026103503000001_ABST
    Figure 2026103503000001_ABST
Patent Text Reader

Abstract

We provide the system. [Solution] Means for collecting user history information, A means of pre-processing a vast amount of artwork data and standardizing its format, A means for generating a learning model using the user's history information and the artwork data, A means for recommending the most suitable information to the user based on the aforementioned learning model, A means of evaluating the value of information based on market trends, A means of providing users with a personalized visual information experience using a display device, A system that includes this.
Need to check novelty before this filing date? Find Prior Art

Claims

1. Means for collecting user history information, A means of pre-processing a vast amount of artwork data and standardizing its format, A means for generating a learning model using the user's history information and the artwork data, A means for recommending the most suitable information to the user based on the aforementioned learning model, A means of evaluating the value of information based on market trends, A means of providing users with a personalized visual information experience using a display device, A system that includes this.

2. The system according to claim 1, further comprising means for obtaining user feedback and updating the learning model.

3. The system according to claim 1, wherein the means for making the recommendation includes means for classifying users into similar groups using information processing technology.