Sporting Event Notification Frequency Tuned to Interest and Performance
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Solution Overview
Problem
Conventional systems fail to curate notifications effectively, leading to user inundation and resource wastage by sending unnecessary notifications, which can result in missing important updates.
Innovation Solution
Systems dynamically adjust notification frequency based on user interest and competitor performance in sporting events, providing notifications only when a combined interest and performance metric exceed a threshold, or delaying notifications until the event concludes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional systems send all notifications to users, then users receive complete information about events, but users are inundated with notifications and may miss important updates
Solution Approach 1:
The system applies different notification delivery qualities to different types of notifications based on user context. Important notifications (e.g., scoring events when user's team is winning) are delivered immediately, while less important notifications (e.g., play-by-play updates when team is losing) are delayed or suppressed. This local differentiation of notification treatment resolves the contradiction by ensuring important information is not lost while avoiding overwhelming the user with unnecessary notifications.
Solution Approach 2:
The notification system dynamically adjusts its behavior based on real-time conditions including user interest level, competitor performance metrics, and current game state. The system continuously monitors these parameters and adapts notification frequency and timing accordingly, transforming a static notification system into a dynamic one that resolves the contradiction between providing complete information and avoiding notification fatigue.
2Loss of information
If systems send play-by-play notifications for every event, then users receive detailed updates, but bandwidth and server resources are substantially consumed
Solution Approach 1:
The system extracts and identifies only the most important notification events based on user interest and competitor performance metrics. Rather than transmitting all event data, the system filters out unnecessary notifications (such as routine play-by-play updates when the user's team is performing poorly) and transmits only high-priority information. This extraction approach reduces bandwidth and server resource consumption while maintaining essential information delivery.
Solution Approach 2:
The system changes the parameter of notification frequency and priority based on dynamic conditions. By adjusting notification parameters according to user interest levels and competitor performance metrics, the system optimizes resource utilization by sending fewer notifications when conditions indicate low user interest, thereby reducing bandwidth and server resource consumption while maintaining information quality when needed.
3Adaptability or versatility
If systems send notifications regardless of user interest or competitor performance, then all users receive uniform updates, but notification frequency does not align with user preferences or needs
Solution Approach 1:
The system incorporates feedback mechanisms that monitor user interactions, interest levels, and competitor performance metrics to continuously optimize notification delivery. By collecting and processing feedback data, the system learns user preferences and adjusts notification frequency and timing accordingly. This feedback-driven approach enables adaptive notification customization without requiring complex manual configuration, resolving the contradiction between adaptability and system complexity.
Data Source
AI summary
Systems and methods are provided for dynamically adjusting notification frequency for a sporting event. During a sporting event, information related to the sporting event is received. A first level of interest of a user in the sporting event is determined. A performance metric of a competitor in the sporting event is determined. A second level of interest of the user in receiving notifications relating to the sporting event is generated as a function of the first level of interest and the performance metric. In response to determining that the second level of interest exceeds a notification frequency threshold, a notification is presented for the user that includes the information related to the sporting event when the information is received during the sporting event.