Alert Grading System for Social Apps
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Solution Overview
Problem
Social application clients face complications in managing alerts, particularly with large numbers of contacts and groups, leading to cumbersome operations and potential loss of important messages due to the complexity of removing alerts, including the issue of unimportant alerts being removed alongside important ones.
Innovation Solution
A method and system that allow users to initiate an alert removal request, with a server processing the request to identify and remove alerts of the lowest level based on a grading rule, ensuring important messages are preserved and unimportant ones are filtered out, allowing for efficient alert management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually remove alerts one by one, then important messages are preserved, but the operation becomes cumbersome and time-consuming
Solution Approach 1:
The patent segments alerts into different levels (important and unimportant) based on grading rules, allowing selective removal of only unimportant alerts while preserving important ones. This segmentation enables automated batch removal without manual intervention for each alert, resolving the contradiction between operational ease and message preservation.
Solution Approach 2:
The patent changes the parameter of alert priority by introducing grading rules that classify alerts into different levels. This parameter change enables the system to automatically distinguish between important and unimportant alerts, allowing bulk removal of low-priority alerts while maintaining high-priority ones, thus improving operational efficiency without sacrificing message preservation.
2Ease of operation
If all alerts are removed at once, then operations are simplified, but important messages may be lost
Solution Approach 1:
The patent applies local quality by assigning different removal priorities to different alerts based on their importance level. Instead of treating all alerts uniformly, the system applies selective removal criteria where only unimportant alerts are removed while important ones are preserved, thus simplifying operations without causing information loss.
Solution Approach 2:
The patent introduces a priority parameter through grading rules that determines which alerts should be removed. By changing the removal criterion from uniform to priority-based, the system can automatically preserve important messages while removing unimportant ones in bulk, resolving the contradiction between operational simplicity and information preservation.
3Device complexity
If no alert grading system is implemented, then the system remains simple, but alert management effectiveness decreases
Solution Approach 1:
The patent introduces a grading parameter system that classifies alerts into different levels of importance. This parameter addition, while increasing system complexity, dramatically improves alert management efficiency by enabling automated prioritization and selective removal, thus resolving the contradiction between system simplicity and management effectiveness.
Solution Approach 2:
The patent implements a self-service mechanism where the system automatically grades and manages alerts based on predefined rules without requiring user intervention. This automation improves productivity by handling alert management independently, justifying the increased system complexity through significant efficiency gains.
Data Source
AI summary
Embodiments of the present disclosure provide a method, a system and a server for removing alerts. An example method includes monitoring an alert removing instruction triggered by a current user for alerts in a social application client. An alert removing request of the current user to a server is initiated according to the alert removing instruction. Alerts triggered and returned by the server are received according to the alert removing request of the current user, with the alerts returned by the server being obtained by removing a group of alerts designated to be removed from on-going alerts in the social application client. The alerts in the social application client are updated as the alerts returned by the server.