Cross-Market Trust Scoring With Weighted Review Normalization

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Solution Overview

Problem

Existing person-to-person transaction platforms lack a portable and accurate trust scoring system that aggregates and normalizes reviews across multiple marketplaces, limiting user reputation portability and review data accessibility.

Innovation Solution

A trust platform that aggregates, normalizes, and weights transaction review values from various marketplaces to generate a baseline individual trust score, which is portable and used to facilitate transactions across platforms, and adjusts reviews based on transaction context.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If transaction review values are aggregated across multiple marketplaces, then user reputation portability is improved, but review data accuracy and normalization difficulty worsen

Engineering Contradiction:

Improveuser reputation portabilityVSAvoidreview data accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system transforms review values from different marketplaces by adjusting parameters such as rating scales, weightings, and normalization factors to create a unified trust score. This allows accurate aggregation across platforms while maintaining data quality through parameter transformation rather than direct summation.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The trust platform acts as an intermediary between multiple marketplace providers, receiving review values from each platform, normalizing them to a common scale, and aggregating them into a unified trust score. This mediator approach enables portability while preserving accuracy through controlled transformation.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If transaction review values are weighted based on multiple factors, then trust score accuracy is improved, but system complexity increases

Engineering Contradiction:

Improvetrust score accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system applies different weightings to review values based on factors like transaction amount, location, date, and user role. By dynamically adjusting parameters rather than using fixed complex algorithms, the system achieves accurate trust scores while managing computational complexity through rule-based weighting.

Inventive Principle:

Principle #35Parameter changes

3Productivity

If baseline trust scores are provided to facilitate transactions, then transaction completion rate is improved, but user privacy and data security concerns increase

Engineering Contradiction:

Improvetransaction completion rateVSAvoiddata security risks

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The trust platform serves as a secure intermediary that aggregates and processes review data to generate trust scores, which are then shared with users and platforms. This mediator role enables transaction facilitation while centralizing security controls to protect against data breaches and privacy violations.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20260017725A1Trust platform

Publication Date: 2026.01.15 METLIFE

AI summary

A trust platform receives transaction review values from a plurality of marketplace providers, each transaction review value associated with a person-to-person transaction. The platform weighs each transaction review value to generate a weighted transaction review value based on a characteristic of the transaction. A baseline individual trust score is generated based on an aggregation of the weighted transaction review values which reflects a “trust” attributable to a user. The trust platform is also configured to adjust new transaction review values based on the baseline individual trust score to render such review more accurate.