Fake Review Feature Detection on Fraudulent E-Commerce Sites

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Solution Overview

Problem

Fraudulent e-commerce websites use fake online review systems to deceive consumers, leading to significant financial losses, and existing methods lack effective ways to detect these scams.

Innovation Solution

A computer-implemented method that analyzes attributes of product review features on e-commerce websites, such as integration with third-party review platforms, functionality of review submission, and review content analysis, to identify fraudulent sites and protect consumers by preventing access or purchases.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If fraudulent e-commerce websites use fake review systems to deceive consumers, then consumer trust is manipulated and purchasing decisions are influenced, but detection capability remains insufficient

Engineering Contradiction:

Improveconsumer trustVSAvoiddetection capability

Core Design Contradiction:

ReliabilityVSDifficulty of detecting and measuring

Solution Approach 1:

The system performs preliminary analysis of review features before consumers make purchasing decisions. By proactively detecting fake review systems through automated evaluation of visual and functional attributes, the system prevents fraudulent websites from manipulating consumer trust rather than reacting after deception occurs

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces an intermediary detection system that stands between consumers and fraudulent e-commerce websites. This intermediary analyzes review features and provides assessment results that consumers can use to identify fake review systems, thereby mediating the interaction and preventing trust manipulation

Inventive Principle:

Principle #24Intermediary (Mediator)

2Loss of information

If e-commerce websites integrate third-party review platforms, then review transparency is improved, but integration functionality may be compromised in fraudulent sites

Engineering Contradiction:

Improvereview transparencyVSAvoidintegration functionality

Core Design Contradiction:

Loss of informationVSReliability

Solution Approach 1:

The system continuously monitors and evaluates the integration between e-commerce websites and third-party review platforms. By providing feedback on the functional status of these integrations, the system can identify when fraudulent sites have compromised their review transparency while maintaining the appearance of legitimate third-party integration

Inventive Principle:

Principle #23Feedback

3Ease of operation

If first-party review systems are used, then website control is maintained, but review authenticity is reduced due to selective publishing

Engineering Contradiction:

Improvewebsite controlVSAvoidreview authenticity

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The patent creates a copy or replica of the review system's functionality for analysis purposes. By copying the review submission and publication mechanisms, the system can evaluate whether first-party review systems are selectively publishing reviews and thus compromise authenticity, while maintaining the operational control that websites exercise over their own review platforms

Inventive Principle:

Principle #26Copying

Data Source

PatentUS12505456B2Identifying fake review systems to protect consumers from fraudulent e-commerce websites

Publication Date: 2025.12.23 GEN DIGITAL INC

AI summary

Systems and methods for detecting fraudulent e-commerce websites by identifying fake review systems are disclosed. In particular, some embodiments may identify an e-commerce website and download content contained on one or more product web pages of the e-commerce website. These web pages may be analyzed to identify a product review feature that is within the one or more product web pages. Attributes of the product review feature may then be evaluated to determine that the e-commerce website is fraudulent and a security action may be performed to protect consumers from the e-commerce website.