Event-Based Content Delivery Timing Control
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Solution Overview
Problem
Existing content recommendation techniques fail to enhance customer appeal effectively by not considering optimal timing and context for delivering content related to potential issues at a user's home, property, or physical well-being.
Innovation Solution
A control method and information processing apparatus that transmit detection and user information to determine specific events, allowing for the timely notification of relevant products, services, or insurance solutions after a predetermined time from the event occurrence, tailored to the event's category, urgency, and location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If content is delivered immediately after event detection, then responsiveness is improved, but user engagement decreases due to poor timing
Solution Approach 1:
The system performs preliminary analysis of event data, user profiles, and contextual information before content delivery. It pre-processes detection information to identify optimal delivery timing and content type, preparing recommendation strategies in advance but executing delivery at the optimally determined moment rather than immediately
Solution Approach 2:
The content delivery timing is made dynamic rather than static or immediate. The system adjusts delivery timing based on real-time analysis of multiple factors including event severity, user behavior patterns, and contextual conditions, allowing the optimal delivery moment to vary for each situation
2Productivity
If content delivery is delayed to improve timing, then customer appeal improves, but responsiveness deteriorates
Solution Approach 1:
The system performs preliminary analysis of event data, user profiles, and contextual information before content delivery. It pre-processes detection information to identify optimal delivery timing and content type, preparing recommendation strategies in advance but executing delivery at the optimally determined moment rather than immediately
Solution Approach 2:
The system autonomously determines the optimal delivery timing without requiring manual intervention or fixed delay rules. It self-adjusts the delivery moment based on its analysis of event characteristics, user behavior, and contextual factors, making the delay intelligent rather than arbitrary
3Device complexity
If generic content recommendation is used, then system complexity is reduced, but content relevance to user needs decreases
Solution Approach 1:
The system applies different content delivery strategies and timing to different event types and user contexts rather than using a uniform approach. It tailors the recommendation content, delivery timing, and communication channel to the specific characteristics of each event and user profile, making the system more complex locally but highly effective
Solution Approach 2:
The system changes multiple parameters including delivery timing, content type, communication channel, and recommendation urgency based on event characteristics and user context. It dynamically adjusts these parameters to optimize content relevance and user engagement for each specific situation
Data Source
AI summary
A processor: transmits detection information detected by a first device and user information obtained by a second device to a network; determines that a first event occurred based on the detection information and the user information; determines content based on the first event; and notifies the user of the content by transmitting data indicating the content to the first or second device via the network after elapse of a given amount of time predetermined per event from an occurrence of the first event. The first event potentially causes a problem in at least one of a home, property, or physical body of the user, or a service expected by the user. The content is at least one of a product or service for addressing the problem, or insurance that provides compensation for damages incurred by the user if the problem were to actually occur.


