Prediction system and prediction method

A machine learning-based prediction system effectively predicts family information for users lacking direct data, facilitating targeted marketing by utilizing user information trends.

WO2025215768A1 Publication Date: 2025-10-16NTT DOCOMO INC
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Patent Information

Application Number
PCT/JP2024/014558
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-04-10
Publication Date
2025-10-16

AI Technical Summary

Technical Problem

Existing technologies face challenges in effectively conducting marketing to family members of users for whom direct information is difficult to obtain.

Method used

A prediction system that utilizes machine learning to create models predicting family information based on user information, allowing for the accurate prediction of family information for users lacking direct links, thereby enabling targeted marketing.

Benefits of technology

Enables effective marketing to family members by accurately predicting their information, leveraging trends in user information from associated family members.

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Abstract

A prediction system according to the present invention comprises a first extraction unit that extracts user information and associated family information for each of a plurality of first users that are associated with family information, a first model creation unit that performs machine learning using the family information extracted by the first extraction unit as an objective variable and the user information as an explanatory variable and creates a first machine learning model that predicts family information, a second extraction unit that extracts user information for a second user that is not associated with family information, and a first prediction unit that predicts family information for the second user by inputting the user information for the second user extracted by the second extraction unit into the first machine learning model.
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