Message Processing System Location-Based Filtering
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Solution Overview
Problem
Conventional message delivery systems, such as email notifications, often inundate users with irrelevant messages, especially unsolicited communications like spam, lacking effective filtering mechanisms based on user location and time of day.
Innovation Solution
A message-processing system that receives location information from mobile devices and maps user identities to subscriber accounts, selectively forwarding pertinent messages based on geographical location, time, and trigger events, thereby filtering out irrelevant communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional message delivery systems send all available messages to users, then message delivery completeness is improved, but user annoyance increases due to irrelevant communications
Solution Approach 1:
The system pre-configures delivery parameters (geofence locations, time windows, trigger events) and message filtering rules in advance. When a message becomes available, the system proactively evaluates it against these pre-set criteria before delivery, preventing irrelevant messages from reaching the user while ensuring important messages are delivered.
Solution Approach 2:
The system applies different delivery qualities to different messages based on their characteristics and context. Messages are evaluated individually against delivery parameters such as location relevance, time appropriateness, and event triggers, allowing each message to receive tailored treatment rather than uniform delivery or filtering.
2Loss of information
If message filtering based on location and time is implemented, then relevance of delivered messages is improved, but system complexity increases
Solution Approach 1:
The system introduces a message-processing resource as an intermediary between the message source and the user's mobile device. This intermediary evaluates messages against delivery parameters and filters them before delivery, centralizing the complexity in a dedicated component rather than distributing it across the entire system or requiring complex client-side logic.
Solution Approach 2:
The system uses configurable delivery parameters (geofence coordinates, time windows, event types) that can be adjusted without changing the underlying system architecture. These parameters allow flexible control over message relevance while maintaining a consistent filtering mechanism, enabling adaptation to different user needs without increasing structural complexity.
3Speed
If immediate notification is provided for every available message, then message delivery speed is improved, but user distraction increases
Solution Approach 1:
The system performs preliminary evaluation of messages against delivery parameters before triggering notifications. This pre-filtering ensures that only messages meeting the criteria (relevant location, appropriate time, matching events) are delivered immediately, while others are held or discarded, maintaining fast delivery for important messages without causing distraction from irrelevant ones.
Data Source
AI summary
A message-processing resource receives location information indicating a current location of a mobile device in a network. A user of the mobile device subscribes to use of the network. The message-processing resource maps an identity of the user to a subscriber account and candidate messages associated with the user. The message-processing resource utilizes the location information to identify a message pertinent to the user and the current location of the mobile device. The message-processing resource selects the message from the candidate messages and provides notification of the selected message to the user of the mobile device.