Automated User Profile System for Cross-App Personalization

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Solution Overview

Problem

Users face difficulties in seamlessly sharing personal information and preferences across different applications and services due to lack of interoperability, requiring manual entry for each service, which leads to lower adoption rates.

Innovation Solution

A system that builds a user profile with collected data and uses a platform and API to automatically populate settings for new applications or services based on a trust level and domain determination, enabling interoperability across various applications and services.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If automatic information filling is implemented across applications, then user time and effort are reduced, but interoperability challenges and data format inconsistencies increase

Engineering Contradiction:

Improvetime for manual information entryVSAvoidinteroperability across applications

Core Design Contradiction:

Loss of timeVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal user profile system that stores user information in a standardized format, enabling multiple applications to access and utilize the same data without manual re-entry. The profile acts as a multi-functional repository that serves different applications with their specific data requirements through a common interface.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The user profile serves as an intermediary layer between the user's personal information and various applications. Instead of direct communication between user and each application, the profile mediates by storing and managing user data, allowing applications to retrieve information through standardized access mechanisms while maintaining data consistency.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If comprehensive user profiles are created to enable personalization, then application personalization improves, but user privacy and data security concerns increase

Engineering Contradiction:

Improveapplication personalizationVSAvoiduser privacy risks

Core Design Contradiction:

Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The system implements local quality by allowing different levels of information sharing with different applications based on trust levels. Not all user profile data is exposed to all applications - instead, access is granular and context-dependent, providing personalized information only where appropriate and secure.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The trust level determination mechanism uses feedback from user interactions, application behavior, and data access patterns to dynamically adjust what information is shared. The system learns from user decisions and application reliability, continuously refining privacy protections while maintaining personalization effectiveness.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11301584B2Automated personalized out-of-the-box and ongoing in-application settings

Publication Date: 2022.04.12 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

Systems, methods, and computer-readable storage media are provided for automating personalized out-of-the-box and ongoing in-application settings. A triggering event is detected for an exchange of information between an information service and one or more application or service. A trust level and domain of information of the one or more application or service is determined. Based on the trust level and domain of information, information to be shared with the one or more application or service is identified and the identified information is shared. The information to be shared can be all of the requested information, some of the requested information, or none of the requested information.