Systems and methods for automated user relationship profiling

A computer-implemented method using LLMs and machine learning processes efficiently updates user and family profiles by processing conversation and third-party data, addressing inefficiencies in familial relationship identification and task generation.

WO2026106716A1PCT designated stage Publication Date: 2026-05-21PANASONIC WELL LLC
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
PANASONIC WELL LLC
Filing Date
2025-09-25
Publication Date
2026-05-21

AI Technical Summary

Technical Problem

Existing technologies struggle to efficiently and continuously evaluate user data from communications sessions and other sources to define familial relationships among users, leading to inefficiencies in identifying and updating user profiles and family unit dynamics.

Method used

A computer-implemented method using large language models and machine learning algorithms to process conversation data, extract key-value pairs of inferred user attributes, and update profiles in real-time, incorporating feedback and third-party data to identify and refine family relationships and generate tasks based on user intents.

Benefits of technology

Enhances the accuracy and efficiency of user and family profiling by continuously updating profiles with inferred attributes, reducing the need for direct user prompts, and optimizing task recommendations tailored to family goals.

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Abstract

Systems and methods for automatically and continuously evaluating user data collected through different communications sessions and other data sources to perform user profiling and define familiar relationships amongst users.
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