Review Verification System Using Intermediary Mediator
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Solution Overview
Problem
The growing problem of fraudulent online reviews decreases the accuracy and usefulness of review systems, as it is difficult to verify if a reviewer has actually purchased the product or service being reviewed, regardless of the purchase location.
Innovation Solution
A system that verifies user purchases by querying a database with purchase records, allowing users to input ratings only after confirming their purchases through receipts, bank statements, or credit card transactions, and inferring purchases from transaction data to ensure accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a review system allows anyone to submit reviews without verification, then the system is easy to use and has high participation, but the reliability of reviews deteriorates due to fraudulent reviews
Solution Approach 1:
The patent introduces an intermediary verification system that acts as a mediator between reviewers and the review platform. This system uses third-party data sources (social media profiles, purchase records, device identifiers) to verify reviewer authenticity without requiring direct integration with every possible verification source. The intermediary layer processes verification requests and returns authentication status, resolving the contradiction by adding reliability through verification while maintaining system simplicity through a standardized interface.
Solution Approach 2:
The verification system is designed to work across multiple platforms and data sources using a universal verification protocol. The same verification mechanism can authenticate reviewers from different sources (social media, purchase records, device data) through a common interface. This multi-functional approach allows the system to maintain high reliability across diverse verification methods while avoiding the complexity of implementing separate verification systems for each data source.
2Measurement precision
If the system verifies purchases through multiple data sources (receipts, bank statements, credit card transactions), then the measurement precision of purchase verification improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The system performs preliminary data collection and normalization from multiple sources (receipts, bank statements, credit card transactions) before the actual verification process. Purchase records are pre-processed, standardized, and stored in a verified purchases database in advance. When a review requires verification, the system queries this pre-prepared database rather than collecting and processing raw data from multiple sources in real-time. This preliminary action achieves high measurement precision while reducing the operational difficulty of data collection.
Solution Approach 2:
The system creates standardized copies of purchase data from various sources (physical receipts, digital bank statements, credit card transactions) and stores them in a unified format. Instead of processing the original diverse data formats directly, the system works with standardized copies that have been normalized to a common structure. This copying approach maintains verification accuracy by preserving essential purchase information while simplifying the detection and measurement processes through uniform data representation.
Data Source
AI summary
A system and method for generating recommendations based on verified user reviews receives verified user reviews from a rating system. The system and method constructs and updates user profiles based on various factors including location and demographic information. This information is used to create comparison points between profiles which is used to amplify certain possible recommendations based on the similarity between the users. This information may then be used to trigger the population of a user interface.