Dynamic Advertisement Splitting and Merging Across Devices
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Solution Overview
Problem
Conventional advertisement techniques fail to optimally split and merge advertisements as users move between devices, leading to suboptimal advertising to dynamically changing groups or subgroups of users.
Innovation Solution
A split and merge advertisement system that uses user identifying units, device data collecting circuits, advertisement splitting circuits, optimization updating circuits, and advertisement merging circuits to adapt advertisements in real-time as users move between devices, ensuring optimal advertising to changing user groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional advertisement techniques are used to optimize advertisements for a single device, then advertisement optimization for individual devices is achieved, but the system cannot adapt when users move between devices and groups split or merge
Solution Approach 1:
The system segments the user group into subgroups based on device proximity and assigns different advertisements to different subgroups. When users move between devices, the system automatically segments the user group accordingly and delivers targeted advertisements to each segment, enabling adaptability without requiring complete system redesign.
Solution Approach 2:
The system dynamically adjusts advertisement assignments based on real-time user movement and group composition changes. As users move between devices or groups split and merge, the system continuously updates which advertisements are shown to which user subgroups, maintaining optimality without fixed predetermined assignments.
2Productivity
If advertisements are optimized for static user groups on fixed devices, then advertisement delivery is simple, but the system fails to track and adapt to users moving between devices
Solution Approach 1:
The system implements continuous feedback loops where user identifying units track user locations and group compositions across devices. This feedback information is used to dynamically adjust advertisement assignments, ensuring the system maintains awareness of user movements and group changes without requiring complex manual tracking.
Solution Approach 2:
The system introduces intermediary components (user identifying units, advertisement splitting circuits, merging circuits) that mediate between users and advertisements. These intermediaries handle the complexity of tracking user movements and group compositions, allowing the core advertisement delivery function to remain efficient while accurately maintaining user information.
3Adaptability or versatility
If the system tracks user movements and group compositions across multiple devices, then advertisement personalization is improved, but the computational complexity and data processing requirements increase
Solution Approach 1:
The system segments user data and advertisement data into manageable portions associated with specific devices and user subgroups. By processing and storing data in segmented form rather than as a single large dataset, the system reduces computational complexity while maintaining the ability to personalize advertisements for each user subgroup based on their device proximity.
Data Source
AI summary
A split and merge advertisement method, system, and non-transitory computer readable medium, include splitting a first advertisement to be played on a second device when a moving user of a first group of users moves from a proximity of a first device to a proximity of the second device.