Blockchain Verified Recommendation System
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Solution Overview
Problem
Conventional recommendation systems rely on user inputs that may be biased and lack verification of trustworthiness, leading to inaccurate recommendations, and fail to incentivize users to provide inputs.
Innovation Solution
A blockchain-based recommendation system that verifies user inputs through a Proof of User method and issues reward points to encourage participation, ensuring trustworthy and unbiased recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional recommendation systems rely on user inputs without verification, then the system is simple to operate and collect data quickly, but the reliability and accuracy of recommendations deteriorate due to biased and unverified inputs
Solution Approach 1:
The patent introduces a verification engine as an intermediary component between users and the recommendation system. This verification engine validates user inputs and determines user credibility scores before incorporating recommendations into the system, thereby improving recommendation reliability without requiring complete system redesign
Solution Approach 2:
The recommendation system is segmented into distinct functional modules: user input collection, verification engine for validating inputs, credibility assessment component, and recommendation generation. This segmentation allows the system to add verification complexity only where needed while maintaining overall system manageability
2Measurement precision
If the system implements verification of user trustworthiness, then the quality and reliability of recommendations improve, but the complexity of the system increases due to additional verification steps
Solution Approach 1:
The verification engine utilizes blockchain technology to enable self-service verification of user identities and input authenticity. Users' digital signatures and cryptographic proofs automatically verify their trustworthiness without requiring manual review, reducing verification complexity while maintaining high measurement precision
Solution Approach 2:
The system changes the parameter of user verification from subjective manual assessment to objective cryptographic validation. By transforming trust verification into mathematical proof validation through digital signatures and blockchain consensus, the system achieves high validation accuracy with automated processes rather than complex human judgment systems
3Productivity
If the system provides incentives for user participation, then the quantity of user inputs increases, but the system complexity increases due to reward management mechanisms
Solution Approach 1:
The token reward system serves multiple functions simultaneously: it incentivizes user participation, validates user credibility, tracks user contributions, and enables peer-to-peer transactions. This multi-functionality increases input contribution volume without requiring separate complex systems for each function
Solution Approach 2:
The patent replaces traditional mechanical reward systems (points, badges, manual recognition) with a digital token economy based on blockchain smart contracts. This substitution automates reward distribution, eliminates manual intervention, and creates a self-sustaining incentive mechanism that increases productivity without proportional increases in system complexity
4Reliability
If the system uses blockchain for verification, then the trustworthiness and reliability of user inputs improve, but the processing time and energy consumption increase
Solution Approach 1:
User verification data, including digital signatures and identity proofs, are prepared and stored on the blockchain in advance before actual recommendation transactions occur. This preliminary action allows verification to happen near-instantly during user interactions, reducing perceived processing time while maintaining high trustworthiness
Solution Approach 2:
Instead of requiring full blockchain consensus verification for every user input, the system creates lightweight cryptographic copies (hashes, digital signatures) that can be verified rapidly. These cryptographic copies provide sufficient trust verification without the time and energy costs of complete blockchain validation for each transaction
Data Source
AI summary
Methods and systems for providing reward based verified recommendations. A method disclosed herein includes broadcasting a recommendation request to a plurality of registered users, on receiving the recommendation request from a customer. The method further includes receiving and verifying an input from at least user of the plurality of users in response to the broadcasted recommendation request using a blockchain. The received input relates to the recommendation request and the input includes at least one of at least one service provider and at least one service provided by the at least one service provider. The method also includes issuing reward points (RPs) to the at least one user who has provided the input and the service provider who is included in the input on verifying the input. The method further includes providing at least one recommendation to the requested customer using the verified input and maintained previous recommendations.