Catalog Quality Management Subsystem Error Prioritization

Solution Overview

Problem

Content catalog systems face challenges in efficiently processing and prioritizing errors, especially given the large volume of content, which makes it impractical for human administrators to manually review all errors, leading to inevitable errors that may go unaddressed.

Innovation Solution

A catalog quality management subsystem that categorizes and prioritizes errors based on the degree of human interaction using error metrics, automatically fixing some errors while requesting manual review for others, and providing an error review list organized by product importance and impact state to human administrators.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If all catalog errors are manually reviewed by human administrators, then error detection precision is improved, but loss of time and productivity deteriorate due to the large volume of content

Engineering Contradiction:

Improveerror detection precisionVSAvoidtime for manual review

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments errors into different categories based on severity and type, allowing automated processing for minor errors and human review for critical errors. The error management system divides the review workload by creating distinct handling paths for different error classes, thereby reducing the time required for comprehensive error detection while maintaining precision.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an automated error management system as an intermediary between error detection and human review. This intermediary automatically processes, prioritizes, and routes errors to appropriate handlers, reducing the direct burden on human administrators while maintaining high detection precision through systematic filtering and triage.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Manufacturing precision

If all catalog errors are manually reviewed by human administrators, then manufacturing precision of catalog quality is improved, but productivity deteriorates due to the large volume of content

Engineering Contradiction:

Improvecatalog qualityVSAvoiderror processing throughput

Core Design Contradiction:

Manufacturing precisionVSProductivity

Solution Approach 1:

The patent segments errors into different categories based on severity and type, allowing automated processing for minor errors and human review for critical errors. The error management system divides the review workload by creating distinct handling paths for different error classes, thereby reducing the time required for comprehensive error detection while maintaining precision.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements self-service error correction mechanisms where the automated system can independently resolve certain types of errors without human intervention. The system automatically generates fixes for routine errors, performs self-validation, and only escalates complex issues to human administrators, thereby maintaining high catalog quality while significantly improving processing throughput.

Inventive Principle:

Principle #25Self-service

3Productivity

If automated error fixing is applied to all errors, then productivity is improved, but manufacturing precision of catalog quality deteriorates due to potential incorrect automated fixes

Engineering Contradiction:

Improveerror processing throughputVSAvoidcatalog quality

Core Design Contradiction:

ProductivityVSManufacturing precision

Solution Approach 1:

The patent segments errors into different categories based on severity and type, allowing automated processing for minor errors and human review for critical errors. The error management system divides the review workload by creating distinct handling paths for different error classes, thereby reducing the time required for comprehensive error detection while maintaining precision.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements feedback mechanisms where automated error fixes are validated and monitored. The system tracks the effectiveness of automated corrections and uses this feedback to improve future automated decisions. Human administrators review and validate automated fixes, providing feedback that refines the automated system's accuracy over time, thereby maintaining high catalog quality while preserving productivity benefits.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS11823241B2Catalog quality management model

Publication Date: 2023.11.21 MICROSOFT TECHNOLOGY LICENSING LLC

AI summary

In one example, a content catalog system may process a bulk set of errors to prioritize those errors that may benefit from manual review by a human error administrator. A catalog quality management sub-system of the content catalog system may receive an error output describing a catalog error for a product aspect of a product in a content catalog from an error detection module. The catalog quality management sub-system may categorize the catalog error by a degree of human interaction with an error fix determined from an error metric in the error output. The catalog quality management sub-system may apply an error fix to the catalog error based on the degree of human interaction.