Selective Node Delivery Using User-Driven Activation Parameters
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Solution Overview
Problem
Existing computer networks lack the ability to deliver interactive data units selectively to client nodes based on user information, leading to inefficiencies in personalized data delivery.
Innovation Solution
A method and system for delivering interactive data units to selective client nodes by aggregating user data, processing activation parameters, and delivering data units to client nodes associated with users who satisfy the activation criteria, using a computer network with modules for data processing and delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is delivered to all client nodes without selection, then data delivery coverage is maximized, but data transmission efficiency deteriorates due to unnecessary deliveries
Solution Approach 1:
The system performs preliminary aggregation of user data and preprocessing of activation parameters before data delivery. The server node aggregates user data from multiple client nodes and pre-processes activation parameters to determine which client nodes should receive specific interactive data units, enabling selective delivery based on pre-analyzed user characteristics
Solution Approach 2:
The system implements feedback mechanisms where client nodes transmit user information and activation status back to the server node. The server node uses this feedback to continuously refine its selection criteria for data delivery, adjusting which client nodes receive interactive data units based on aggregated user data and processed activation parameters
2Adaptability or versatility
If user data aggregation and processing is implemented for selective delivery, then personalized data delivery capability is improved, but system complexity increases
Solution Approach 1:
The server node acts as an intermediary between data providers and client nodes. It aggregates user data from multiple sources, processes activation parameters, and makes delivery decisions, thereby distributing the computational complexity across the network architecture rather than concentrating it in single nodes
Solution Approach 2:
The system segments the data delivery function into distinct modules: user data aggregation, activation parameter processing, selection determination, and data delivery. Each module handles a specific aspect of the selective delivery process, making the overall complex system manageable through functional decomposition
3Measurement precision
If interactive data units are delivered without activation parameter processing, then delivery speed is maximized, but data delivery precision deteriorates
Solution Approach 1:
The server node performs preliminary processing of activation parameters and aggregation of user data before the actual data delivery occurs. This pre-processing enables the system to make informed delivery decisions without adding significant delay to the critical data transmission path
Solution Approach 2:
The system processes only the necessary activation parameters and user data attributes required for selective delivery decisions, rather than performing exhaustive analysis on all available data. This partial processing approach achieves sufficient precision for delivery selection while minimizing processing time
Data Source
AI summary
The computer networks provided herein may facilitate the delivery of interactive data units to selective client nodes. A client node may be associated with, and/or be accessible by, a user. The interactive data units received at a client node may be activated by the user associated with the client node. In some instances, a computer network may facilitate delivery of an interactive data unit to a client node based on the user, and/or user information, associated with the client node.