Context Aggregation Server for Intelligent Data Routing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data communications systems struggle to efficiently route data communications based on the context of relationships between client entities and other parties, leading to suboptimal communication handling and service delivery.
Innovation Solution
Implementing machine learning-based algorithms for context aggregation in data communications networks, which retrieve and analyze user-data communications from multiple systems to determine the context of relationships, enabling intelligent routing of subsequent communications based on aggregated context information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional data communications routing methods are used, then system simplicity is maintained, but communication routing accuracy and service quality deteriorate due to inability to understand relationship context
Solution Approach 1:
The system performs preliminary actions by aggregating context information from multiple data sources (communications logs, transaction data, social media interactions) before routing decisions are needed. This pre-processing of relationship context enables more accurate routing without adding complexity to the actual routing operation, as the context analysis is completed in advance and stored for quick retrieval during communication events.
Solution Approach 2:
The patent introduces a context aggregation server as an intermediary component that sits between the communication sources and the routing system. This mediator collects, processes, and stores relationship context information, then provides it to the routing system when needed. This intermediary approach isolates the complexity of context analysis from the routing logic, allowing the routing system to make accurate decisions without directly handling the complex data processing.
2Productivity
If context aggregation from multiple data sources is implemented, then routing effectiveness is improved, but data processing time and computational resources increase
Solution Approach 1:
The system aggregates and processes context information from multiple data sources in advance, before routing decisions are required. By pre-processing communications logs, transaction data, and social media interactions, the system builds a ready-to-use relationship context profile that can be quickly retrieved during actual routing operations, significantly reducing real-time processing requirements.
Solution Approach 2:
The context aggregation server operates continuously to collect and update relationship context information from multiple data sources. This continuous operation ensures that context data is always current and available, eliminating the need for batch processing or repeated data collection during routing events, thereby maintaining high productivity while minimizing processing delays.
3Adaptability or versatility
If machine learning algorithms are used for context determination, then routing intelligence is enhanced, but system complexity and computational requirements worsen
Solution Approach 1:
The patent introduces a dedicated context aggregation server as an intermediary that handles the complex machine learning and data analysis tasks. This separate component processes communications logs, transaction data, and social media interactions using machine learning algorithms to determine relationship context. The routing system then simply queries this server for context information, isolating the algorithmic complexity from the core routing logic and making the system more manageable despite the advanced intelligence employed.
Data Source
AI summary
Certain aspects of the disclosure are directed to context aggregation in a data communications network. According to a specific example, user-data communications between a client-specific endpoint device and the other participating endpoint device during a first time period can be retrieved from a plurality of interconnected data communications systems. The client station can be configured and arranged to interface with a data communications server providing data communications services on a subscription basis. Context information for each respective user-data communication between the client station and the participating station during the first time period can be aggregated, such that subsequent user-data communications received from the participating station and intended for the client entity, can be routed based on the aggregated context information.