Email Sender Ranking for Automated Inbox Cleanup

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Solution Overview

Problem

Managing the overwhelming influx of emails is challenging due to their sheer volume, variety, lack of standardization, and difficulty in integrating with other digital tools, leading to cluttered inboxes, missed deadlines, and decreased productivity.

Innovation Solution

Implementing a computing device with machine learning models to categorize, prioritize, and manage emails, along with AI-driven interfaces to enhance organization and interaction with other digital tools, such as calendars and task managers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual sorting with folders and labels is used to organize emails, then email organization is improved, but time consumption and human error increase

Engineering Contradiction:
Improveemail organizationVSAvoidtime for sorting emails
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The system enables emails to self-organize by automatically analyzing email content, sender information, and user behavior patterns to categorize and sort emails into appropriate folders and labels without requiring manual user intervention, thereby eliminating time consumption and human error associated with manual sorting

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual sorting process with an automated machine learning-based system that uses natural language processing and classification algorithms to perform email organization, substituting human cognitive and manual effort with computational processes

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

2Measurement precision

If advanced search techniques are used to retrieve past emails, then search accuracy is improved, but ease of operation deteriorates

Engineering Contradiction:
Improvesearch accuracyVSAvoidsearch operation simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system automatically generates and maintains searchable metadata, tags, and summaries for emails based on content analysis, enabling users to retrieve emails through simple natural language queries without needing to learn complex search syntax or techniques

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary indexing and tagging of email content during the email ingestion and categorization process, pre-processing information in advance so that subsequent search operations can be executed simply and accurately without requiring advanced search skills

Inventive Principle:
Principle #10Preliminary action

3Productivity

If holistic integration with digital tools is implemented, then productivity is improved, but device complexity increases

Engineering Contradiction:
Improveoverall productivityVSAvoidsystem integration complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a universal email management system that integrates multiple digital tools including calendars, task managers, and collaboration platforms through a single unified interface, allowing one system to perform multiple functions and reducing the need for separate specialized tools

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

Solution Approach 2:

The system introduces an intermediary AI layer that acts as a mediator between different digital tools and the user, translating and coordinating information across calendars, tasks, and emails, thereby simplifying the user experience while maintaining comprehensive integration in the background

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250379841A1Techniques for managing emails
Publication Date: 2025.12.11 APPLE INC
  • US20250379841A1 patent drawing
  • US20250379841A1 patent drawing
  • US20250379841A1 patent drawing

AI summary

A method for managing emails is disclosed. A computer device may determine of unwanted email senders from which a user is receiving emails. The list of unwanted email senders may be ranked, and subsets of the list may be displayed on a user device to solicit input from the user regarding the email senders. Upon receiving decisions from the user regarding the email senders, the computer device may perform actions for corresponding ones of the email senders.