Automated Document Editing via Pattern Recognition and Machine Learning

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Solution Overview

Problem

Users face repetitive and time-consuming tasks when formatting or changing content in text documents, and existing solutions like macros require programming skills, making them inaccessible to many users.

Innovation Solution

The system automates document edits by recognizing patterns in user interactions, using artificial intelligence and machine learning to apply edits across a document, allowing users to perform repetitive tasks without needing programming knowledge, and providing an intuitive interface for controlling automatic changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If users create macros or programs to automate repetitive tasks, then productivity is improved, but device complexity increases and ease of operation deteriorates due to requiring programming skills

Engineering Contradiction:

Improveautomation efficiencyVSAvoiduser accessibility

Core Design Contradiction:

ProductivityVSEase of operation

Solution Approach 1:

The patent introduces an intermediary system that translates simple user actions into automated edit operations. This mediator layer captures user interactions through hooks, analyzes patterns using machine learning, and executes automated edits without requiring users to write macros or programs, thus maintaining productivity while improving ease of operation

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables self-service automation by allowing users to define automation rules through simple configuration rather than programming. The machine learning model automatically learns from user interactions and performs edits autonomously, making the system serve itself and the user without external programming intervention

Inventive Principle:

Principle #25Self-service

2Ease of operation

If users manually perform repetitive formatting tasks, then ease of operation is maintained, but loss of time increases significantly

Engineering Contradiction:

ImprovesimplicityVSAvoidtask completion time

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system performs preliminary actions by setting up edit hooks and patterns in advance that automatically trigger when specific conditions are met. This allows the system to prepare automation rules beforehand, so when users perform simple manual actions, the automated responses are already in place to execute immediately, reducing time loss while maintaining simplicity

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces the mechanical manual process of repetitive editing with an automated electronic system. Machine learning models and pattern recognition algorithms substitute for manual user actions, automatically detecting and applying edits based on learned patterns, thereby dramatically reducing task completion time while keeping the user interface simple

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10713424B2Automated document content modification

Publication Date: 2020.07.14 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

Systems and methods may be used to present changes to a document on a user interface. A method may include receiving, on the user interface, a user input including an edit task to a first portion of a document. The method may include determining, using a processor, that a second portion of the document includes text changeable by the edit task. The method may include automatically performing the edit task on the second portion of the document within the user interface based on the determination.