Dynamic Redistribution Set Adjustment for Content Exposure Duration
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Solution Overview
Problem
Existing content distribution systems fail to effectively manage and modify user redistribution sets based on changes in the pre-defined duration for presenting content, leading to inefficiencies in targeting and exposure of content to users.
Innovation Solution
A computer-implemented method that modifies redistribution sets of users by detecting changes in the pre-defined duration, re-including or excluding users based on the updated duration, allowing content sponsors to extend or shorten the time frame for presenting content, thereby optimizing user exposure and reducing unnecessary costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the pre-defined duration for presenting content to users is extended, then content exposure and engagement are improved, but unnecessary costs increase for users who have already lost interest
Solution Approach 1:
The system dynamically adjusts the redistribution set composition based on the modified duration parameter. When duration is extended, past users are re-included; when shortened, present users are excluded. This dynamic adaptation allows the system to optimize content exposure duration while avoiding unnecessary costs by continuously aligning the user set with the current duration parameter.
Solution Approach 2:
The system detects modifications to the pre-defined duration parameter and automatically modifies the redistribution set in response. By monitoring parameter changes and adjusting the user set accordingly, the system resolves the contradiction between maximizing content exposure duration and minimizing unnecessary distribution costs.
2Measurement precision
If the redistribution set is frequently modified to detect duration changes, then content targeting accuracy is improved, but system complexity increases
Solution Approach 1:
The system implements a feedback mechanism that detects modifications to the pre-defined duration and automatically triggers redistribution set adjustments. This feedback loop maintains high targeting accuracy by ensuring the redistribution set always reflects the current duration parameter, while automating the process to avoid excessive manual complexity.
Solution Approach 2:
The system performs self-service by automatically modifying the redistribution set in response to detected duration changes without requiring manual intervention. This automation improves targeting accuracy while reducing operational complexity by eliminating the need for manual set management.
3Productivity
If past users are re-included when duration is extended, then content exposure opportunities increase, but data processing requirements increase
Solution Approach 1:
The system maintains historical user data in a past users data structure, performing preliminary organization of user information. When duration is extended, the system efficiently retrieves relevant past users from this pre-organized structure rather than processing raw data, thus increasing content exposure opportunities while minimizing data processing energy requirements.
Data Source
AI summary
Methods, computer-readable media, and systems for modifying redistribution sets of users based on expiration time. A redistribution set including multiple present users to whom selected content is presentable for a pre-defined duration is received. Multiple past users who were included in the redistribution set have previously been removed from the redistribution set based on an expiration of the pre-defined duration. In response to detecting a modification to the pre-defined duration, the redistribution set of users is modified to include one or more past users or to exclude one or more present users. The redistribution set thus modified is used to target content to users in the modified redistribution set.