Location Notification Suppression via Activity Thresholds
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Solution Overview
Problem
Location-based services face challenges in managing network overload and traffic congestion due to concurrent user demands, which can lead to health, safety, and infrastructure-related issues, especially when notifications are sent to multiple users simultaneously.
Innovation Solution
A system and method that determine location-based events and assess activity levels at destination locations, suppressing or altering notifications if the activity level exceeds a threshold, using Natural Language Processing and machine learning to customize notifications and manage network load, thereby reducing congestion and improving user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If notifications are sent to multiple users simultaneously based on location-based events, then user engagement and service utility are improved, but network overload and traffic congestion worsen
Solution Approach 1:
The system performs preliminary assessment of destination location activity levels before sending notifications. By examining activity levels in advance and suppressing notifications when thresholds are exceeded, the system prevents network overload before it occurs, rather than reacting after congestion has started
Solution Approach 2:
The activity level assessment mechanism acts as an intermediary between the notification generation system and the network delivery system. This intermediary layer filters notifications based on real-time location data, allowing the system to maintain user engagement while preventing excessive traffic volume
2Quantity of substance
If notifications are suppressed when activity levels are high, then network congestion is reduced, but user engagement and service utility deteriorate
Solution Approach 1:
The system applies partial suppression of notifications rather than complete blocking. By using threshold-based filtering and activity level assessment, it suppresses only the excessive portion of notifications that would cause congestion, while allowing necessary notifications to pass through, thus maintaining optimal user engagement
Solution Approach 2:
The notification delivery system dynamically adjusts its behavior based on real-time activity level assessments. The system transitions between sending and suppressing notifications based on current conditions, making the notification strategy adaptive rather than static, which maintains effectiveness while preventing congestion
3Productivity
If real-time activity level assessment is implemented for all destination locations, then notification optimization is improved, but system complexity and computational resources worsen
Solution Approach 1:
The activity level assessment system serves multiple functions: it optimizes notification delivery, prevents network congestion, enhances user safety by directing away from crowded areas, and provides data for analytics. This multi-functionality justifies the added complexity by delivering comprehensive benefits beyond simple notification filtering
Data Source
AI summary
Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: determining that a location based event has occurred, the location based event pertaining to a certain user computer device; identifying, based on the determining, a notification for sending to the certain user computer device, wherein the notification has an associated destination location; examining an activity level of the destination location; and based on the activity level exceeding a threshold, providing one or more output.