Social Collaborative Message Prioritization Using Temporal Factors
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Solution Overview
Problem
Existing message management systems fail to properly prioritize messages in a social collaborative structure, as they do not adequately consider the relative importance of messages based on organizational, social networking, and application interaction relationships between senders and recipients.
Innovation Solution
A method and system for social collaborative prioritization of messages that determines values for criteria such as organizational, social networking, and application interaction relationships, transforming these values into priorities and associating them with messages, allowing for weighted sorting or filtering based on these relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional message prioritization tools are used (based on sender identity, time of receipt, or keywords), then messages can be sorted by basic criteria, but they cannot properly prioritize messages according to the relative importance in a social collaborative structure
Solution Approach 1:
The system dynamically adjusts message prioritization by continuously monitoring and updating temporal factors between senders and recipients. The temporal factor changes over time based on interaction patterns, allowing the prioritization to adapt to evolving social collaborative relationships rather than using static criteria
Solution Approach 2:
The system incorporates feedback loops where message interactions (reading, responding, ignoring) are tracked and used to update the temporal factors. This feedback mechanism allows the prioritization algorithm to learn from actual user behavior and improve its accuracy in determining message importance within social collaborative structures
2Ease of operation
If manual message sorting is performed by advanced users, then messages can be managed individually, but the physical size of the view inhibits the ability to see all messages and processing takes days
Solution Approach 1:
The system performs automatic message prioritization without requiring manual user intervention. The temporal factors and social collaborative relationships are automatically tracked and processed by the system, enabling it to self-manage the sorting and prioritization of messages based on established criteria
Solution Approach 2:
The system pre-calculates and maintains temporal factors between senders and recipients before messages arrive. When messages are received, the prioritization is immediately determined using pre-established temporal factors, eliminating the need for users to manually review and sort through large volumes of messages
3Quantity of substance
If the volume of messages increases to hundreds and thousands, then comprehensive communication coverage is achieved, but end users require days to process each message resulting in communication lapse
Solution Approach 1:
The system replaces manual mechanical sorting processes with automated computational algorithms. The temporal factor calculations and message prioritization are performed automatically by the system using computer-based processing, eliminating the time-consuming manual review process that would require days to handle large message volumes
Data Source
AI summary
Embodiments of the present invention address deficiencies of the art in respect to message prioritization and provide a novel and non-obvious method, system and computer program product for social collaborative prioritization of messages in a messaging system. In an embodiment of the invention, a method for social collaborative prioritization of messages can be provided for a messaging system. The method can include receiving a message from a sender as directed to a recipient, determining a value for a different social collaborative criterion based upon a temporal factor between the sender and the recipient, transforming the value into a priority for the message, and associating the priority with the message in the messaging system.

