Online Service Message Timing Adaptation
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Solution Overview
Problem
Existing online services face challenges in delivering messages effectively due to the lack of integration with user usage patterns, often sending messages at inappropriate times, which can lead to user dissatisfaction and reduced engagement.
Innovation Solution
A system that retrieves timing information on user online service usage, determines consistent usage patterns, and generates scheduling information for message transmission based on these patterns to optimize delivery times, considering factors like time zone and lifestyle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If messages are sent using traditional scheduling methods, then message transmission can be performed, but message delivery effectiveness deteriorates due to lack of alignment with user usage patterns
Solution Approach 1:
The system retrieves timing information from user online service usage patterns and feeds this information back into the scheduling mechanism. The server monitors when users access online services and uses this feedback to dynamically adjust message scheduling times, ensuring messages are sent when users are most likely to be receptive without requiring complex manual configuration
Solution Approach 2:
The system automatically determines usage patterns and generates scheduling information without requiring user intervention or complex administrative setup. The scheduling mechanism serves itself by autonomously analyzing usage data and adjusting message timing based on observed patterns, reducing the complexity burden on operators while improving delivery effectiveness
2Ease of operation
If messages are sent without considering user usage patterns, then transmission simplicity is maintained, but user experience deteriorates due to inappropriate timing
Solution Approach 1:
The system performs preliminary analysis of user usage patterns before message transmission is needed. By continuously monitoring and storing timing information about when users access online services, the system prepares scheduling information in advance, so that when messages need to be sent, they can be delivered at optimal times without requiring complex real-time decisions or user intervention
Solution Approach 2:
The system changes the timing parameter of message transmission based on observed user behavior patterns. Instead of using fixed or manual scheduling parameters, the system dynamically adjusts the transmission time parameter to match when users are most active on online services, improving user experience while maintaining operational simplicity through automated parameter optimization
Data Source
AI summary
An approach is provided for time adaption of online services. Timing information relating to usage by a user of one or more online services is retrieved. A pattern of consistent usage is determined from the timing information. Scheduling information is generated for transmission of a message based on the determined pattern.