AI Message Prioritization With Context-Based Delivery Timing
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Solution Overview
Problem
Conventional messaging techniques often transmit messages generically, disregarding user interest and preferences, leading to user disengagement and resource wastage.
Innovation Solution
Implementing artificial intelligence techniques to determine context-based messaging characteristics, prioritize messages, and transmit them at optimal times based on user behavior and preferences using a dynamic message prioritization engine and message-related temporal values determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional generic messaging techniques are used, then message transmission simplicity is maintained, but user engagement deteriorates and resource wastage increases
Solution Approach 1:
The patent applies local quality by customizing message characteristics (timing, channel, content) according to specific user attributes and context rather than using uniform generic messaging. The system determines user-specific messaging characteristics based on user profiles, device information, and contextual data, thereby improving engagement while maintaining operational simplicity through automated personalization.
Solution Approach 2:
The patent implements dynamics by making messaging characteristics adaptive and changeable based on user behavior, context, and preferences. The system dynamically adjusts message timing, channel selection, and content based on real-time user data and historical patterns, allowing the messaging system to evolve and optimize engagement without increasing operational complexity.
2Reliability
If artificial intelligence techniques are implemented for context-based messaging, then user engagement is improved, but system complexity increases
Solution Approach 1:
The patent uses an intermediary approach by introducing an automated messaging system that acts as a mediator between the user and the message content. This intermediary system processes user data, determines optimal messaging characteristics, and executes message transmission automatically, thereby improving engagement while shielding users from the underlying system complexity.
Solution Approach 2:
The patent applies self-service by enabling the messaging system to automatically determine and optimize its own characteristics based on user data and context. The system autonomously selects messaging timing, channel, and content based on user profiles and behavioral patterns, reducing the need for manual intervention and managing complexity through automated decision-making.
3Speed
If messages are transmitted generically without context, then transmission speed is maintained, but message relevance deteriorates leading to user disengagement
Solution Approach 1:
The patent applies preliminary action by pre-determining user-specific messaging characteristics before message transmission. The system analyzes user profiles, device information, and contextual data in advance to establish optimal messaging timing, channel, and content preferences, enabling fast message transmission with high relevance without requiring real-time decision-making delays.
Data Source
AI summary
Methods, apparatus, and processor-readable storage media for automatically determining and implementing messaging characteristics using artificial intelligence techniques are provided herein. An example computer-implemented method includes determining one or more context-based messaging characteristics for at least one user device based on message-related data associated with the user device(s) and one or more software applications running on the user device(s); prioritizing at least one of multiple messages intended for the user device(s) by processing the messages, in connection with at least a portion of the context-based messaging characteristic(s), using a first set of artificial intelligence techniques; determining one or more temporal values associated with transmitting the prioritized message(s) to the user device(s) by processing the messages, in connection with the context-based messaging characteristic(s), using a second set of artificial intelligence techniques; and automatically transmitting the prioritized message(s) to the user device(s) in accordance with the temporal value(s).