Mobile Notification Delivery Time Offset Based on Location
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Solution Overview
Problem
Conventional digital notification systems in mobile communication networks face challenges in delivering notifications effectively due to users' changing locations, as they rely on GPS data that can be disabled, and are designed for instant delivery, making it difficult to adjust notification times based on users' new locations.
Innovation Solution
The system retrieves time zone identifiers for both the home and current locations of a user, determines a delivery time offset, and stores messages in a queue for delayed delivery, ensuring notifications are received at optimal times by updating the user's account with temporary locations based on transaction data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system transmits notifications at a fixed time based on the user's home location, then the notification delivery time is predictable and easy to schedule, but the user may receive the notification at an inappropriate time when traveling to a different time zone
Solution Approach 1:
The notification system dynamically adjusts the delivery time based on the user's current location and time zone rather than using a fixed schedule. The system monitors user location data and automatically modifies notification timing to account for time zone differences, ensuring notifications are delivered at appropriate local times regardless of where the user travels.
Solution Approach 2:
The system incorporates feedback mechanisms by continuously monitoring user location data and travel patterns. This feedback loop allows the system to detect when a user has traveled to a different time zone and adjust future notification schedules accordingly, improving both reliability and adaptability.
2Reliability
If the system delays notifications to account for time zone differences, then notifications are more likely to be received during waking hours, but the notification delivery time becomes less predictable and requires additional processing
Solution Approach 1:
The system performs preliminary actions by calculating and storing the user's typical wake times and sleep schedules in advance. When a notification needs to be sent, the system retrieves this pre-stored information and applies the appropriate delay based on the time zone difference, avoiding complex real-time analysis while maintaining high receipt success rates.
Solution Approach 2:
The system changes the time parameter of notification delivery based on detected location changes and time zone differences. By automatically adjusting the delivery time parameter according to predefined rules and user patterns, the system improves receipt success without requiring complex processing logic.
3Measurement precision
If the system relies solely on GPS data and location services to detect user location, then the location detection is direct and accurate, but the system becomes vulnerable when users disable these services
Solution Approach 1:
The system implements multi-functionality by incorporating multiple independent methods for detecting user location and travel status. In addition to GPS data, the system analyzes notification interaction patterns, message metadata, and other available data sources. This universal approach ensures that location detection remains reliable even when GPS services are disabled, as the system can infer location changes from alternative data.
Solution Approach 2:
The system uses intermediary indicators such as notification response patterns and message metadata as mediators to infer user location when direct GPS data is unavailable. By analyzing these indirect signals, the system can detect travel patterns and time zone changes without relying solely on location services that users may disable.
4Speed
If the system uses the SMPP protocol for instant message delivery, then message delivery speed is maximized, but the system cannot easily implement delayed delivery based on user location changes
Solution Approach 1:
The system performs preliminary actions by pre-calculating the optimal delivery time based on user location and time zone information before initiating the SMPP message delivery. The message is prepared and queued with the calculated delivery timestamp, allowing the system to maintain SMPP's high-speed delivery capability while implementing location-based timing adjustments through upfront planning.
Solution Approach 2:
The system dynamically determines the delivery time parameter before SMPP transmission by analyzing current location data and time zone differences. This dynamic calculation occurs in the application layer before the message enters the SMPP protocol, allowing instant delivery protocol to be used while maintaining flexibility in delivery timing through intelligent preprocessing.
Data Source
AI summary
Methods and systems are described herein for identifying a location of a user prior to sending a notification and/or tailoring notification delivery and/or receipts to a determined location of the user. In many contexts, the delivery or receipt time of these notifications is important. For example, the message may include time-sensitive information or may have been targeted based on delivering (or being received at) an optimal time. The system may determine a time zone identifier by recording a user's default or home location based on known account data and establishing a transaction data stream for identifying transactions that are outside of a radius of the default location. Upon detecting transactions outside the default location, the system may update an account of the user with a temporary location. The system may then determine a delay based on this temporary location.