Unknown Organization (20240257173). ASSURED PROTOCOL ONLINE REVIEW VALIDATION SYSTEM simplified abstract
Contents
ASSURED PROTOCOL ONLINE REVIEW VALIDATION SYSTEM
Organization Name
Inventor(s)
Santoash Rajaram of Portland OR (US)
Karan Mishra of Glenview IL (US)
Thomas Davenport of Little Rock AR (US)
ASSURED PROTOCOL ONLINE REVIEW VALIDATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240257173 titled 'ASSURED PROTOCOL ONLINE REVIEW VALIDATION SYSTEM
The abstract describes a blockchain protocol that uses machine learning to validate data, specifically reviews, on a public blockchain to ensure integrity and weed out fake reviews. Human validators stake tokens against annotated reviews in a proof-of-stake consensus model to incentivize trustworthy reviews. Smart contracts facilitate the review protocol on the blockchain network.
- Simplified Explanation: The patent application outlines a system that uses blockchain and machine learning to verify online reviews, with human validators staking tokens to ensure authenticity.
- Key Features and Innovation:
- Blockchain protocol for validating review data - Machine learning annotator and human validators - Proof-of-stake consensus model with financial incentives - Smart contracts for implementing the review protocol
- Potential Applications:
- E-commerce platforms - Online review websites - Social media platforms
- Problems Solved:
- Fake and incentivized reviews - Lack of trust in online reviews - Data integrity issues
- Benefits:
- Increased trust in online reviews - Reduction of fake reviews - Financial incentives for human validators
- Commercial Applications:
- "Blockchain Protocol for Authenticating Online Reviews: Enhancing Consumer Trust and Integrity"
- Questions about the Technology:
1. How does the machine learning annotator evaluate reviews? 2. What are the financial incentives for human validators?
- Frequently Updated Research:
- Stay updated on advancements in blockchain technology and machine learning algorithms for review validation.
Original Abstract Submitted
the integrity of data (e.g., review data) provided via a computer network (e.g., the internet) and relied upon by online consumers when making purchase decisions is assured using a blockchain protocol that conducts a machine learning enabled validation flow on a public blockchain with reward mechanisms designed to weed out fake and incentivized reviews. a machine learning (ml) annotator evaluates a review and provides a score that is passed to human validators along with annotations for validation. the human validators stake tokens against the annotated reviews in a proof-of-stake consensus model that provides financial incentives to the human validators to provide an increased number of trustworthy reviews. the review protocol is implemented via smart contracts that are stored and replicated on a blockchain network and that are used to facilitate, verify, and enforce the negotiation or performance of the terms of an agreement between the participants and the review protocol.
