Contextual Application Templates for Personalized Message Content
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Solution Overview
Problem
Existing mobile device notification systems lack the ability to provide personalized and contextually relevant content to users, failing to adapt to changes in user context and preferences.
Innovation Solution
A system comprising a device agent that manages card content delivery, utilizing contextual data from various sources to generate and deliver personalized cards that are contextually relevant to the user's current, historical, or future use context, and updates content based on user interaction feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a predefined notification system is used to deliver content to users, then the system structure is simple and easy to implement, but the content lacks personalization and contextual relevance
Solution Approach 1:
The system performs preliminary analysis of user context (location, time, device state, user profile) before content delivery. The device agent continuously monitors and stores contextual data in advance, so when content needs to be delivered, the relevant context is already available for matching with content criteria, enabling personalized delivery without complex real-time processing
Solution Approach 2:
A device agent is introduced as an intermediary component between the content delivery system and the user device. This agent manages contextual data collection, analysis, and matching with content criteria, shielding the complexity of contextual analysis from both the content source and the user interface, while enabling sophisticated personalized delivery
2Measurement precision
If contextual data collection and analysis is implemented to personalize content, then content relevance improves, but processing time and computational resources increase
Solution Approach 1:
Contextual data (location, time, device state, user profile) is collected and pre-processed in advance by the device agent, storing it in a ready-to-use format. When content delivery is needed, the pre-collected context can be quickly matched against content criteria without requiring time-consuming real-time analysis, thus maintaining high relevance accuracy while reducing processing time
Solution Approach 2:
The system analyzes and processes only the specific contextual parameters relevant to each content type locally on the device agent. Instead of processing all possible contextual data uniformly, the system selectively processes only the necessary local context (e.g., location for location-based content, time for time-sensitive content), reducing overall processing time while maintaining precision
Data Source
AI summary
Systems, methods, and computer-readable media are disclosed for determining contextually relevant application templates associated with electronic message content.