Dynamic Resource Connectivity System for Automated Matching
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Solution Overview
Problem
Conventional online systems for connecting users and resources are inefficient, requiring users to manually sift through postings, leading to wastage of computing resources like processing power, memory, and network bandwidth.
Innovation Solution
A computerized system dynamically manages resource deficiencies and provisioning capabilities by identifying resource deficiencies, constructing object repositories, matching provisioning capabilities, and establishing automatic resource connections, thereby reducing manual searching and optimizing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional online systems use manual postings for resource coordination, then users can access resources through simple website interfaces, but users must constantly sift through postings to determine relevance, leading to inefficiencies in computing resources
Solution Approach 1:
The system enables resources to automatically publish their availability and capabilities without manual intervention. Resources self-describe their provisioning capabilities, and the matching system automatically connects them with appropriate users, eliminating the need for manual posting and sifting through listings.
Solution Approach 2:
The patent introduces an intermediary matching system that sits between resource postings and user searches. This intermediary automatically parses resource capabilities, constructs structured representations, and performs intelligent matching, reducing the burden on both users and computing resources while maintaining ease of access.
2Loss of information
If users manually search through resource postings to find relevant resources, then users can locate needed resources, but this process wastes computing resources such as processing power, memory, and network bandwidth
Solution Approach 1:
The system performs preliminary actions by automatically parsing and constructing resource capability representations in advance. Resources publish their capabilities proactively, and the system pre-processes this information into structured formats, so that when users need resources, the matching is already prepared and requires minimal additional computing effort.
Solution Approach 2:
The patent replaces the mechanical process of manual searching and filtering with an automated intelligent matching system. Instead of users manually sifting through postings, the system uses automated parsing, construction of capability representations, and algorithmic matching to connect users with relevant resources, significantly reducing computing resource wastage.
3Productivity
If the system automatically matches and connects users with resources, then resource allocation efficiency improves, but the system complexity increases due to object repositories and matching logic
Solution Approach 1:
The patent segments the resource management system into distinct modular components: resource parsing modules that extract capabilities, object construction modules that create structured representations, repositories that store these representations, and matching modules that connect users with resources. This segmentation reduces overall system complexity by making each component independent and manageable.
Solution Approach 2:
The system employs universal object repositories and standardized capability representations that can handle multiple types of resources and users through a common interface. The matching logic is designed to be general-purpose, working across different resource types without requiring type-specific complexity, thereby improving efficiency while controlling system complexity.
Data Source
AI summary
A system may be configured for: identifying a plurality of resource deficiencies associated with a first plurality of users; constructing a resource deficiency object repository comprising a plurality of resource deficiency objects associated with the plurality of resource deficiencies; determining a resource provisioning capability associated with the second user; constructing a resource provisioning object associated with the resource provisioning capability of the second user; determining that the resource provisioning capability associated with the second user matches a first resource deficiency associated with the first user; establishing, automatically, a resource connection between the first resource deficiency object and the resource provisioning object and initiating transfer of resources corresponding to the resource provisioning capability associated with the second user to the first user.


