Centralized Notification Hub with Learning Engine
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Solution Overview
Problem
Users face cumbersome manual processes in managing notifications across different computing ecosystems, as customizations in one ecosystem do not impact notifications in another, leading to tedious management of notifications across diverse devices.
Innovation Solution
A centralized hub with a learning engine uses an algorithm to evaluate and deliver notifications to the most appropriate computing device based on user interactions, environmental changes, and other factors, employing agents to monitor and update the algorithm for optimized notification management across ecosystems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a user manually manages notifications on each computing device separately, then each ecosystem can be customized independently, but the management process becomes overly cumbersome and time-consuming
Solution Approach 1:
The patent combines multiple notification management functions across different ecosystems into a single centralized hub. This hub receives notifications from various sources and distributes them to appropriate computing devices, eliminating the need for users to manually manage notifications on each device separately while maintaining ecosystem-specific customization capabilities.
Solution Approach 2:
The centralized notification hub provides universal notification management capabilities that work across multiple ecosystems (Windows, iOS, Android, etc.). A single hub instance can handle notifications from diverse sources and route them to different types of computing devices, making the system adaptable to various ecosystems without requiring separate management processes for each.
2Adaptability or versatility
If customizations are made in one ecosystem, then that ecosystem's notification behavior is improved, but the customizations have no impact on notifications in other ecosystems
Solution Approach 1:
The centralized notification hub acts as an intermediary between notification sources and multiple computing devices across different ecosystems. It receives notifications, applies appropriate customizations based on the target ecosystem and device, and distributes them accordingly. This mediator approach allows customizations in one ecosystem to potentially influence notification behavior in other ecosystems through the hub's coordinated management.
3Reliability
If notifications are delivered to all computing devices, then the user receives all notifications, but it becomes difficult to determine the most appropriate device for each notification
Solution Approach 1:
The notification hub employs dynamic routing logic that adapts notification delivery based on real-time context. It evaluates factors such as device availability, user location, notification type, and ecosystem characteristics to dynamically determine the most appropriate device for each notification. This dynamic approach ensures reliable notification delivery while automatically making routing decisions without requiring manual user input.
Data Source
AI summary
Notifications can be managed across ecosystems. A centralized hub can implement a learning engine that uses an algorithm to evaluate incoming notifications that are intended for a user that uses multiple computing devices having different ecosystems. The algorithm can be configured to determine on which of the user's computing devices the notifications should be presented given a particular context. Agents executing on the user's computing devices can monitor how the user interacts with the notifications and provide indications of such interactions to the learning engine. The learning engine can then update its algorithm based on the user's interactions to cause future notifications to be delivered to the user via the ecosystem that is most appropriate for a given context in which each notification is received.