Notification Message Processing Using Application Importance Levels
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Solution Overview
Problem
Current notification message processing methods on smartphones are insufficiently intelligent, as they fail to distinguish between important and spam messages effectively, leading to users missing important notifications amidst a mix of useful and unwanted messages.
Innovation Solution
A method that determines the importance level of each application based on historical use features such as use duration, frequency of use, and download times, and adjusts notification manners and times accordingly, ensuring that important messages are displayed in appropriate and timely ways.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all notification messages are displayed in the same manner, then the notification system is simple and easy to implement, but important messages cannot be distinguished from spam messages
Solution Approach 1:
The notification system segments messages into different importance levels (first importance level, second importance level, etc.) based on historical use features of applications. This segmentation allows important messages to be distinguished from spam messages through differentiated notification manners, resolving the contradiction between discrimination precision and system complexity.
Solution Approach 2:
Different notification manners are applied to different importance levels of messages. High-importance messages receive prominent notifications (e.g., pop-up, sound), while low-importance messages receive subtle notifications (e.g., icon only, no sound). This local differentiation enables precise message discrimination without requiring complete system redesign.
2Ease of operation
If notification messages are displayed immediately upon receipt, then the user receives real-time notifications, but the user may be interfered with by inopportune messages during unsuitable times
Solution Approach 1:
The system preliminarily determines notification time periods for different applications based on historical usage patterns before actual notifications are delivered. By pre-establishing appropriate notification windows, the system avoids delivering notifications during unsuitable times (e.g., late night, early morning), thus reducing interference while maintaining user convenience.
Solution Approach 2:
The notification time periods are dynamically determined based on application types and historical online time data. The system adapts notification timing to different scenarios (e.g., work applications during working hours, entertainment applications during leisure time), making the notification system flexible and context-aware rather than static.
3Quantity of substance
If the user manually suppresses notification messages to reduce spam, then the quantity of notifications is reduced, but the user may miss important messages from applications that are not suppressed
Solution Approach 1:
The system collects feedback on user interaction with different applications (usage frequency, duration, timing) and uses this feedback to automatically determine application importance levels. This feedback mechanism ensures that important applications are identified and their notifications delivered reliably, while spam applications are automatically suppressed, eliminating the need for manual user intervention.
Solution Approach 2:
The system performs automatic importance level determination and notification filtering without requiring manual user suppression settings. By self-service classification based on historical usage features, the system reliably distinguishes important messages from spam and applies appropriate notification strategies, improving both notification quantity control and message delivery reliability.
Data Source
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Figure 1b
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AI summary
Embodiments of the present invention relate to the field of communications technologies, and provide a message processing method and apparatus, to resolve a prior-art problem that intelligence of a notification message processing method is relatively low. In the embodiments of the present invention, an importance level of each application is determined based on a historical use feature of each application, and then a notification manner of a notification message of each application is determined based on the importance level of each application, so that when a notification message is received, the notification message is displayed in the notification manner corresponding to the application to which the notification message belongs. Solutions provided in the embodiments of the present invention are suitable for use during notification message processing.