Service Provider Knowledgebase for Reliable Matching

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Solution Overview

Problem

Current web-based service exchanges face inefficiencies and unreliability in matching service providers with consumers due to high costs, limited repeatability, and potential for errors, particularly in human performance-based services like language translation, where the lack of corpora and linguistic assets hinders the development of domain-specific translation engines.

Innovation Solution

A knowledgebase system that processes and scores service providers' work products to facilitate efficient matching between service providers and consumers, leveraging the contributions and improvements made by service providers to enhance the knowledgebase and service engines, thereby improving the quality and efficiency of service delivery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If web-based service exchanges rely on provider descriptions for matching, then service providers can offer their services, but the system becomes susceptible to exaggeration and loses reliability

Engineering Contradiction:
Improvematching reliabilityVSAvoidinformation accuracy
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent introduces an intermediary verification mechanism where a third party (the platform) validates and verifies service provider claims through work product analysis. Instead of directly trusting provider self-descriptions, the system uses an intermediate verification layer that checks credentials, analyzes past work products, and confirms expertise claims before allowing providers to be matched with consumers.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback loops where service providers' work products are continuously analyzed and verified. The verification results feed back into the provider's profile, confirming or correcting their stated expertise. This creates a self-correcting system where exaggerated claims are gradually corrected through repeated verification cycles, improving overall information accuracy.

Inventive Principle:
Principle #23Feedback

2Ease of operation

If human service providers perform services manually, then services can be delivered with human judgment, but costs increase and repeatability is limited

Engineering Contradiction:
Improveservice delivery flexibilityVSAvoidservice delivery efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The patent replaces manual human analysis with automated computational systems. Machine learning models and algorithms automatically analyze work products, verify credentials, and perform matching tasks that previously required human reviewers. This substitution dramatically increases processing speed and repeatability while maintaining the flexibility of human service delivery for the actual service work.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables service providers to automatically contribute their work products to the verification system, which then automatically processes and validates their credentials. Providers don't need to manually apply for verification; the system self-updates provider profiles through automated analysis of submitted work products, increasing both efficiency and repeatability.

Inventive Principle:
Principle #25Self-service

3Reliability

If service providers contribute work products to the knowledgebase, then the quality and reliability of matching improves, but the system complexity increases

Engineering Contradiction:
Improvematching accuracyVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The knowledgebase serves multiple functions simultaneously: it stores work products, verifies credentials, trains machine learning models, provides matching data, and generates provider profiles. This multi-functionality reduces the need for separate systems for each task, managing complexity while improving reliability through integrated processing.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent combines previously separate functions into a unified knowledgebase system. Credential verification, work product analysis, provider profiling, and service matching are merged into a single integrated system that processes provider contributions comprehensively. This consolidation manages complexity by creating one coherent system rather than multiple separate components.

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20210342912A1Knowledgebase with work products of service providers and processing thereof
Publication Date: 2021.11.04 PROZ COM
  • US20210342912A1 patent drawing
  • US20210342912A1 patent drawing
  • US20210342912A1 patent drawing

AI summary

In one embodiment one or more service provider work product of a knowledgebase can be processed according to one or more methods. A knowledgebase can be provided that includes a work product of one or more service provider. According to one method one or more work product of a knowledgebase can be processed.