Email Message Ranking via Sender Score Analysis
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Solution Overview
Problem
Users face the challenge of managing large volumes of irrelevant emails, which consume significant time and effort to organize, due to the increasing number of emails received daily, necessitating a system that automatically organizes messages based on relevancy.
Innovation Solution
A method and system that score messages based on sender information and user interactions, using a ranking server to determine a sender score based on parameters like message frequency, recentness, and user responses, and display these scores within an email client to prioritize messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually organize and scan emails, then they can identify important messages, but they spend a couple of hours several times over a day organizing email data
Solution Approach 1:
The system automatically analyzes user interactions with emails (opening, reading, deleting, replying) and autonomously calculates sender scores and message rankings without requiring user intervention. The email client itself performs the organization task by gathering interaction data and computing relevancy scores, eliminating the need for manual sorting while maintaining high precision in identifying important messages.
Solution Approach 2:
The system continuously monitors user feedback in the form of interactions with emails (open rates, reply rates, delete rates) and uses this feedback to dynamically adjust sender scores and message rankings. This closed-loop feedback mechanism allows the system to learn from user behavior patterns and improve its relevancy assessment over time, achieving high measurement precision automatically.
2Measurement precision
If the system calculates detailed sender scores based on multiple interaction parameters, then message relevancy is accurately determined, but the system complexity increases
Solution Approach 1:
The patent introduces an intermediary ranking server that acts as a mediator between the email client and the scoring computation. The email client gathers interaction data and sends it to the ranking server, which performs the complex calculations for sender scores and message rankings. This intermediary architecture distributes the computational burden and simplifies the client's functionality while maintaining high scoring accuracy through sophisticated server-side algorithms.
Solution Approach 2:
The system segments the scoring process into distinct functional components: the email client handles data collection and interaction tracking, the ranking server performs computational analysis and score calculation, and the user interface presents ranked results. This segmentation allows each component to specialize in its function, reducing overall system complexity while enabling precise measurement through dedicated processing modules.
3Productivity
If the system monitors all user interactions with emails, then it can accurately rank messages, but the data collection and processing requirements increase
Solution Approach 1:
The system extracts only the essential interaction data elements needed for scoring (open, read, delete, reply actions) from the vast volume of email interactions. Rather than processing all possible data points, it selectively extracts and transmits only the critical interaction metrics to the ranking server, reducing data processing requirements while maintaining sufficient information for accurate message ranking and high organizational efficiency.
Data Source
AI summary
The present invention provides methods and systems to score messages exchanged over a network. The methods and systems may gather message interactions of a recipient. A message originating from a sender and destined for the recipient may be received at an email client. A sender score of the message may be determined based on one or more of sender information, the gathered message interactions, and one or more attributes associated with the message. The message may be marked with the determined score in a user interface associated with the email client.