User Matching System for Secure Collaborative Editing

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Solution Overview

Problem

Modern software applications often fail to assist users in discovering and utilizing available features for specific tasks, leading to inefficiencies and data privacy concerns when requesting external help, as users may not know about existing features or how to use them, and existing solutions like RFP processes are inefficient and insecure.

Innovation Solution

A user matching system within the application that allows users to request help without leaving the app, matches them with expert users for collaborative document editing, ensuring data privacy and security through encryption and controlled data access, using AI to determine document intents and expert user profiles.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If users request help from external sources, then they can get assistance with tasks, but data privacy and security are compromised

Engineering Contradiction:
Improveaccess to helpVSAvoiddata privacy risk
Core Design Contradiction:
Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The patent introduces an intermediary system (the help system within the application) that mediates between users and expert users. This intermediary enables help requests to be fulfilled while maintaining data privacy through controlled data access and encryption, preventing direct exposure of user data to external sources.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables users to access help resources within the application itself without needing to leave or use external services. The help system provides self-contained assistance through expert users who are matched based on document intent and user needs, keeping the entire help process contained within the secure application environment.

Inventive Principle:
Principle #25Self-service

2Adaptability or versatility

If users leave the application to request help, then they can access external resources, but resources are wasted and efficiency decreases

Engineering Contradiction:
Improveaccess to external helpVSAvoidtask completion efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent merges the help functionality directly into the application environment. Expert users are integrated into the application's ecosystem through a matching system that connects them with users based on document intent analysis. This consolidation eliminates the need for users to leave the application, maintaining continuity and improving efficiency.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The application provides multiple functions within a single platform: document editing, intent analysis, expert matching, and collaborative help. This multi-functionality allows users to access comprehensive help resources without needing external tools or leaving the application, thereby conserving resources and improving productivity.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Loss of information

If the system provides detailed help resources, then users can learn features, but the system complexity increases

Engineering Contradiction:
Improvefeature knowledgeVSAvoidsystem complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent replaces traditional mechanical help systems (manuals, tutorials, structured documentation) with an AI-based intent analysis system. The system automatically analyzes user document intent and matches it with appropriate expert users, eliminating the need for complex structured help resources while still providing comprehensive feature knowledge transfer through expert-user interactions.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system changes the parameter of help delivery from static detailed resources to dynamic intent-based matching. By analyzing document intent parameters and user profiles, the system dynamically connects users with relevant experts, providing targeted knowledge without requiring comprehensive detailed documentation for all features.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11100052B2System for classification based on user actions
Publication Date: 2021.08.24 MICROSOFT TECHNOLOGY LICENSING LLC
  • US11100052B2 patent drawing
  • US11100052B2 patent drawing
  • US11100052B2 patent drawing

AI summary

A method may include accessing user activity data with respect to performances of a feature within an electronic application by a user; calculating a similarity score for the user with respect to a level of proficiency for the feature based on the accessed user activity data; and based on the similarity score meeting a threshold value: updating a level of proficiency value in a user profile for the feature of the electronic application; and enabling the user to enter into a collaborative editing mode with another user to complete a document using the feature of the application.