Review Engine Social Verification for Trustworthy Ratings
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing review systems lack trustworthiness due to biased reviews from sellers posing as past buyers, making it difficult for consumers to make informed purchase decisions, as there is no system that provides fully trusted and relevant reviews.
Innovation Solution
A socially enabled review system that integrates social networks to prioritize reviews based on the reviewer's relationship with the author, allowing for authentic and legitimate reviews to be syndicated while preserving user privacy and authenticity, using a review engine with social network, rate and rank, credentials, and privacy engines to filter and order reviews.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If reviews are collected from all users without verification, then the quantity of reviews increases, but the reliability of reviews deteriorates due to biased reviews from sellers posing as buyers
Solution Approach 1:
The patent introduces an intermediary verification system that acts as a mediator between reviewers and the review platform. This system verifies the authenticity of reviews by checking the relationship between reviewers and subjects, ensuring that only genuine customer reviews are published while blocking fraudulent reviews from sellers posing as buyers.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors and verifies review authenticity. By providing feedback on review validity based on verified relationships, the system maintains high reliability while allowing substantial review quantity to accumulate over time.
2Reliability
If social network integration is implemented to verify reviewer authenticity, then the reliability of reviews improves, but the device complexity increases
Solution Approach 1:
The patent makes the review system universal by integrating it with existing social network infrastructures. Rather than building a completely new verification system, the patent leverages established social network relationships to verify reviewer authenticity, thereby improving reliability without proportionally increasing system complexity.
Solution Approach 2:
The patent enables self-service verification by utilizing the social networks that users already maintain. Users' existing social connections serve as the verification mechanism, eliminating the need for complex centralized verification infrastructure while maintaining high trustworthiness.
3Productivity
If all reviews are made publicly visible, then the productivity of information access improves, but the loss of information increases due to privacy concerns and spam
Solution Approach 1:
The patent applies local quality by making different types of information visible to different audiences. Verified review content is made publicly visible for fast access, while sensitive personal information and verification details are selectively hidden or encrypted, maintaining privacy without sacrificing information access productivity.
Data Source
AI summary
The embodiments of the present system include a review engine that is connected to support modules and databases that receive, store, and retrieve reviews, based upon the subject and the users' relationship to the authors of the reviews. The review engine comprises a social network engine, a rate and rank engine, a credentials engine and a privacy engine. These engines allow reviews to be sorted, filtered and ordered in terms of relevance when presented to the user. Numerous methods are also provided by the system that receive, store and retrieve reviews.