Email Notification Routing via Relevance Scoring and Content Extraction
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Solution Overview
Problem
Users often face an overflow of emails in their inboxes, leading to important messages being overlooked due to the inability to actively discriminate between important and unimportant emails, resulting in missed communications.
Innovation Solution
A system generates and routes notifications for important emails based on a member's profile and activity, extracting vital content to create concise messages that alert users, allowing them to access full email details upon interest, ensuring vital information is not missed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually review all incoming emails to identify important messages, then important emails can be identified with high accuracy, but users will spend excessive time and energy, leading to reduced productivity
Solution Approach 1:
The system enables emails to self-categorize and self-prioritize through automated analysis. The server automatically extracts content, generates relevance scores, and routes notifications without requiring user intervention, allowing the system to serve itself in identifying important emails.
Solution Approach 2:
The patent introduces an intermediary notification system that mediates between the email inbox and the user. Instead of users directly reviewing all emails, the notification server acts as an intermediary that filters and presents only important emails based on extracted content and relevance scoring.
2Measurement precision
If users actively discriminate between important and unimportant emails, then important messages can be identified, but the volume of emails to review increases over time, leading to inbox overflow and reduced engagement capacity
Solution Approach 1:
The system extracts only the essential content from emails to create notifications. By taking out key information elements and presenting them in condensed form, the system allows users to identify important emails without being overwhelmed by the full volume of incoming messages.
Solution Approach 2:
The patent segments the email processing workflow into distinct stages: content extraction, relevance scoring, notification generation, and routing. This segmentation allows the system to handle large volumes of emails systematically by processing them through multiple specialized components rather than requiring users to review everything at once.
3Productivity
If users do not regularly check their email inbox, then they maintain other activities, but important emails are missed and communication is lost
Solution Approach 1:
The system performs preliminary actions by proactively pushing notifications to users before they need to check their inbox. By anticipating which emails are important and delivering them through alternative channels, the system ensures communication reliability without requiring users to actively monitor their email accounts.
Solution Approach 2:
The patent implements feedback mechanisms where the system learns from user interactions with notifications. By analyzing which notifications users engage with, the system refines its relevance scoring and content extraction algorithms, improving the reliability of future email importance predictions.
Data Source
AI summary
In various example embodiments, a system and method for generating and routing notifications of content extracted from emails are presented. A member's interest in a specific email among a set of emails are determined based on a relevance score. Content from the specific email are extracted, the content being identified as primary information and secondary information. A notification is generated comprising of the vital content extracted from the specific email. Presentation of the primary information is caused, the primary information being associated with the notification according to a ranked order, the ranked order being based on the relevance score. In response to a member action, presentation of the secondary information is caused, the secondary information being associated with the notification.