Notification Display Method for Intelligent Terminals
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Solution Overview
Problem
The explosive growth of notifications from various applications on intelligent terminals leads to user experience issues due to junk information overload, with users seeking more control over notification messages.
Innovation Solution
A notification display method and terminal that accurately classify notifications by matching object information against rules in a repository, using text, jump, and application package name information, and employing classification models to determine notification types, thereby improving user control and experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If notification messages are indiscriminately sent by many applications to attract user attention, then the number of notifications increases, but user experience is greatly affected and junk information overloads users
Solution Approach 1:
The patent segments notifications into different categories (important, general, junk) based on classification rules and machine learning models. This segmentation allows the system to treat different notification types differently, delivering important notifications prominently while filtering or suppressing junk notifications, thereby resolving the contradiction between high notification volume and user experience.
Solution Approach 2:
The patent introduces an intermediary classification system that acts as a mediator between notification senders and users. This intermediary analyzes notification content using rules and machine learning models to determine notification importance, then filters and prioritizes notifications before presenting them to users, effectively reducing junk information overload while maintaining useful notification delivery.
2Ease of operation
If users want control over notification messages, then notification filtering capability is needed, but current solutions lack efficient and intuitive access methods
Solution Approach 1:
The patent implements a self-service notification control system where the terminal automatically classifies and manages notifications based on pre-configured rules and machine learning models. Users benefit from automated notification filtering without needing to manually configure complex control mechanisms, achieving ease of operation while maintaining sophisticated control capabilities through the self-organizing classification system.
Solution Approach 2:
The patent changes the parameter of notification control from manual user configuration to automated classification based on notification content analysis. By using machine learning models to automatically determine notification importance and apply appropriate filtering rules, the system provides effective user control without requiring users to engage with complex control mechanisms, thus resolving the contradiction between control capability and system complexity.
3Measurement precision
If notifications are classified accurately to meet user requirements, then user experience improves, but classification accuracy requires sophisticated rule repositories and models
Solution Approach 1:
The patent applies preliminary action by pre-training machine learning models and establishing classification rules during system initialization or offline processing. This preliminary preparation allows the classification system to achieve high accuracy during actual notification processing without requiring complex real-time computation, resolving the contradiction between classification precision and system complexity by shifting computational burden to the preliminary setup phase.
Data Source
AI summary
This application discloses a notification display method. The method comprises: when there is a to-be-notified event, displaying, by a terminal, a notification by classification based on a notification type of the notification corresponding to the to-be-notified event; and displaying, by the terminal, in different display modes based on a priority of the notification, wherein the different display modes comprise: displaying in expanded form or displaying in collapsed form in the corresponding display pane, or the different display modes comprise: displaying in a first mode or displaying in a second mode in the corresponding display pane, and content displayed in the first mode is more than content displayed in the second mode.