Proof of Uniqueness

Overview

The Proof of Uniqueness (PoU) system is designed to verify that user-submitted data isn’t spoofed. By ensuring that each submission is unique, the system prevents duplicate uploads, mitigates fraud, and upholds the integrity of data-driven applications. PoU is particularly vital for scenarios like data marketplaces, consumer behavior research, and reward programs where fairness and data quality are paramount.

Relevance

Maintaining uniqueness is essential in systems that analyze or reward user-submitted data. The PoU system plays a critical role in:

• Data Marketplaces: Supporting users who monetize their Amazon order history.

• Consumer Research: Providing reliable, distinct datasets for analyzing buying patterns.

• Loyalty Programs: Ensuring fairness in systems that incentivize users for sharing their purchase data.

By verifying uniqueness, the PoU system safeguards data quality, prevents fraudulent submissions, and ensures equitable participation. The PoU system processes Amazon order history data submitted as CSV files. Key features, such as products, categories, purchase amounts, and quantities, are extracted from the data to generate a MinHash representation. This representation is compared to previously processed entries in the database, and a uniqueness score is calculated.

The score ranges from 0.0 (indicating highly similar or duplicate data) to 1.0 (indicating highly unique data). This allows the system to identify and reject duplicate or fraudulent entries effectively.

Components

• Core Functionalities:

  • ProofOfUniqueness: Orchestrates the uniqueness verification process.

  • DataProcessor: Extracts features from submitted CSV files.

  • DatabaseManager: Stores and retrieves MinHash data for comparison.

  • MinHash Utilities: Handles MinHash serialization and deserialization.

• Interpretation of Results:

  • A score close to 1.0 confirms highly unique and valuable data.

  • A score near 0.0 suggests significant similarity to existing submissions.

The PoU system provides a scalable, reliable way to verify the distinctiveness of Amazon order history data. It ensures fair participation in data monetization platforms, loyalty systems, and research projects while upholding the integrity of the underlying datasets.