Email Routing via Communication Network Mapping

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Users are overwhelmed by the large number of emails received daily, leading to reduced productivity and inefficiencies in managing important and time-sensitive communications.

Innovation Solution

An electronic communication network mapping system that constructs a network of communication nodes based on historical data, measuring communication metrics to identify optimal communication paths and cohort groups, using machine learning to prioritize and route emails efficiently.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If users manually manage and review all received emails, then important communications may be identified, but user productivity decreases and time is lost due to the overwhelming volume of emails

Engineering Contradiction:

Improveidentification of important communicationsVSAvoiduser productivity

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The email system automatically performs classification, prioritization, and routing of emails using machine learning models without requiring user intervention. The system serves itself by autonomously analyzing email content, determining importance levels, and distributing emails to appropriate cohorts or folders, thereby resolving the contradiction between identifying important communications and maintaining user productivity

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

An intermediary intelligent system acts as a mediator between incoming emails and users. This system includes machine learning models that analyze email content, determine importance, and route emails through intermediate processing stages before presentation to users, reducing the direct burden on users while ensuring important communications are identified

Inventive Principle:

Principle #24Intermediary (Mediator)

2Ease of operation

If all emails are presented to users without filtering or prioritization, then users have access to all communications, but users become overwhelmed and cannot digest important emails effectively

Engineering Contradiction:

Improveemail management easeVSAvoidemail processing efficiency

Core Design Contradiction:

Ease of operationVSProductivity

Solution Approach 1:

The email system segments incoming emails into different categories, priorities, and cohorts based on content analysis and user profiles. Emails are divided into important, normal, and spam categories, and further segmented by cohort groups, making the email management process easier while maintaining high processing efficiency through automated classification

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system changes the parameter of email presentation by dynamically adjusting priority levels, visibility, and routing based on analyzed attributes such as sender importance, email content urgency, and user preferences. This transforms the raw email stream into a prioritized, manageable flow without losing access to any communications

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If the system processes and analyzes all email data in real-time, then routing accuracy improves, but computational resources are consumed and processing speed decreases

Engineering Contradiction:

Improverouting accuracyVSAvoidemail processing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary analysis and pre-processing of emails before full routing decisions are made. Machine learning models pre-classify emails into broad categories and identify key attributes in advance, allowing for faster subsequent routing decisions with maintained accuracy, thus reducing overall processing time

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies full analytical processing only to emails that require high-precision routing, while using simplified classification for routine emails. This partial application of complex analysis maintains routing accuracy for critical emails while reducing computational overhead and processing time for the overall email volume

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS10291559B1Systems and method for communications routing based on electronic communication data

Publication Date: 2019.05.14 NOTION AI

AI summary

A system and method includes at the online electronic communications service: receiving a search query from a source communication node; accessing historical electronic communication data associated with the source communication node and a plurality of online communication nodes from one or more third-party online communication services; constructing an electronic communication network mapping of communication nodes between the source communication node and each of the plurality of online communication nodes, wherein constructing includes: measuring communication metrics and/or connectivity metrics among the source communication node and the plurality of online communication nodes at least one communication metric or at least one connectivity metric between pairs of online communication nodes within the electronic communication network mapping based on the measuring; and returning an identification of one or more online communication nodes that satisfy one or more search facets of the search query based on the electronic communication network mapping.