Personalized Message Notification Filtering for Relevant Alerts
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Solution Overview
Problem
Existing notification systems require multiple user operations to filter and view relevant notifications, leading to inefficiency and poor user experience due to repetitive notifications.
Innovation Solution
Acquire notifications based on interactive behaviors between users, determine association information, and generate personalized notification message content to improve notification efficiency and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional notification systems are used, then notifications can be sent to users, but users need to perform multiple operations to filter and view relevant notifications, leading to inefficiency
Solution Approach 1:
The notification system automatically filters and prioritizes notifications based on user profiles and interaction history without requiring manual user input. The system serves itself by autonomously determining which notifications are most relevant to each user based on their behavioral patterns and preferences.
Solution Approach 2:
The system performs preliminary filtering and sorting of notifications before they are presented to the user. By pre-processing notifications based on user profiles and interaction history, the system prepares relevant content in advance, eliminating the need for users to manually filter through large volumes of notifications.
2Reliability
If notifications are sent to all users, then information can be delivered, but repetitive notifications reduce user experience and engagement
Solution Approach 1:
The system tailors notification content and delivery to individual users based on their unique profiles, interaction history, and preferences. Each user receives customized notifications relevant to their interests rather than generic mass notifications, creating locally optimized quality for each user experience.
Solution Approach 2:
The system continuously monitors user interaction with notifications and adjusts future notification delivery based on this feedback. By analyzing which notifications users engage with and modifying user profiles accordingly, the system improves notification relevance over time and reduces repetitive or irrelevant notifications.
Data Source
AI summary
Example methods, devices, and storage media for message notification are provided. In one example method, at least one notification for a first user is acquired, and the at least one notification is generated respectively in response to an interactive behavior that is associated with the first user and that is performed by at least one second user. Association information between the first user and the at least one second user is determined, and notification message content for the first user is generated based at least on the association information and the at least one notification. The notification message content is provided to the first user.


