Electronic Message Rating Using Feedback Aggregation
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Solution Overview
Problem
Current electronic messaging systems face challenges in managing the volume of electronic messages, as users struggle to determine the relevance of incoming messages without sufficient filtering or rating mechanisms, leading to cumbersome manual sorting and reduced user satisfaction.
Innovation Solution
The system generates a rating for electronic messages using both explicit and implicit feedback from recipients, aggregating ratings to prioritize and filter messages, thereby improving message distribution and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If electronic messages are presented in chronological order without filtering, then all messages are displayed to users, but users struggle to manage the volume and determine relevance of messages
Solution Approach 1:
The system implements feedback loops where user interactions with messages (reading, deleting, marking as important) are captured and used to automatically adjust message ratings and filtering criteria. This continuous feedback mechanism enables the system to learn user preferences and improve message prioritization over time, reducing the need for manual sorting while maintaining information relevance.
Solution Approach 2:
The system performs self-service by automatically generating message ratings, applying filters, and organizing messages based on learned user preferences without requiring manual user intervention. The messaging system autonomously manages message prioritization through automated rating algorithms that adapt to user behavior patterns.
2Productivity
If automated rating mechanisms are implemented, then message prioritization and filtering are improved, but system complexity increases
Solution Approach 1:
The rating system is designed to be universal and multi-functional, serving multiple purposes simultaneously: prioritizing messages, filtering spam, identifying important communications, and providing user insights. This consolidation of functions into a single automated rating mechanism improves productivity without proportionally increasing system complexity, as the same infrastructure supports multiple message management needs.
Data Source
AI summary
Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically generating an aggregate rating for an electronic message using one or both of explicit and implicit rating input from a number of recipients of the electronic message. The disclosed systems and methods communication information about the electronic message using the aggregate rating.


