Adaptive Content Control System Using Hierarchical Data Structures
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Solution Overview
Problem
Existing load handling systems face limitations in resource availability, reliability, speed, efficiency, and accuracy, leading to sub-optimal performance and results due to varied resource capacities and capabilities.
Innovation Solution
An adaptive processing and content control system that collects and configures content composites using a hierarchical data structure, monitors interactions, and automatically trains a computational model to adapt and optimize content presentation across multiple endpoints, enhancing resource utilization and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specialized resources are used with limited capacities, then resource reliability is improved, but process performance deteriorates due to limited availability
Solution Approach 1:
The patent creates a unified resource pool that consolidates multiple specialized resources into a single adaptable resource. This resource can dynamically assume different specializations based on process requirements, allowing one resource to perform multiple functions rather than requiring separate specialized resources for each function. The resource pool includes a resource manager that assigns appropriate specializations to the unified resource based on current process needs.
2Measurement precision
If resource capacities are varied and limited, then resource accuracy is improved for specific tasks, but resource availability deteriorates
Solution Approach 1:
The patent implements dynamic specialization assignment where the unified resource's capabilities are not fixed but can be adjusted in real-time based on process requirements. The resource manager dynamically configures the resource's specialization level and type according to current task demands, allowing the system to optimize between accuracy and availability depending on what each specific process requires.
3Adaptability or versatility
If hierarchical data structure is used for content configuration, then content presentation adaptability is improved, but system complexity increases
Solution Approach 1:
The patent segments the computational model into distinct hierarchical layers: content composites at the base level, content groups in the middle level, and content categories at the top level. Each layer operates independently with its own configuration parameters, allowing the system to manage complexity through modular organization. The graphical user interface also reflects this segmentation, presenting users with manageable hierarchical views rather than a monolithic complex system.
Data Source
AI summary
Systems, methods, and non-transitory, machine-readable media to facilitate adaptive processing and content control are disclosed. Content composites may be created and configured according to a computational model that may include a hierarchical ordering of the content composites using a hierarchical data structure. The configured content composites may be presented with a graphical user interface of an endpoint device. Metrics of interactions with interface elements corresponding to the configured content composites may be determined using a processing device that monitors inputs. The computational model may be automatically trained using the metrics of interactions to create an adapted computational model. Adapted content composites may be created and configured according to the adapted computational model that may include a second hierarchical ordering using a second hierarchical data structure. The adapted content composites may be presented with the graphical user interface.