Assured protocol online review validation system

A system for assuring the validity of online product reviews of a product for online purchase, comprising:

• a blockchain that stores data relating to online product reviews;
• at least one smart contract that executes transactions on the blockchain;
• a machine learning (ML) annotator that annotates a product review from a product reviewer to generate an ML annotated review and provides a first score representative of a validity of the product review;
• a workflow application that enables users to access ML annotated reviews and data associated with the ML annotated reviews, to submit product reviews for a product, and to fetch data and execute transactions on the blockchain, wherein the workflow application provides the ML annotated review to a plurality of human validators for validation, and wherein the plurality of human validators each provide a second score representative of the validity of the product review;
• and
• an assured scoring engine that, once a predetermined number of second scores have been collected from the human validators, categorizes each product review as valid or invalid based on a final score that is a predetermined function of the first score and the second scores,
• wherein the at least one smart contract specifies a number of tokens to be rewarded to a product reviewer and human validators for providing a valid product review and rewards tokens to the product reviewer and at least one of the human validators for providing the product review based on the number of tokens to be rewarded for the valid product review, a number of tokens staked against the product review in a proof-of-stake consensus model by the at least one of the human validators, and an accuracy of the product review, and
• wherein the workflow application provides to at least one of the product reviewer or an owner of a product to which the product review is directed an indication of whether the product review is valid or invalid.

A tangible computer readable medium comprising instructions that when executed by at least one processor causes the at least one processor to perform operations to implement a method of assuring the validity of online product reviews of a product for online purchase, the operations comprising:

• providing at least one smart contract that specifies a number of tokens to be rewarded to a product reviewer and human validators for providing a valid product review;
• annotating a product review from a product reviewer to generate a machine learning (ML) annotated review and providing a first score representative of a validity of the product review;
• providing the ML annotated review to a plurality of human validators for validation, wherein the plurality of human validators each provide a second score representative of the validity of the product review;
• once a predetermined number of second scores have been collected from the human validators, categorizing each product review as valid or invalid based on a final score that is a predetermined function of the first score and the second scores;
• rewarding tokens to the product reviewer and at least one of the human validators for providing the product review based on the number of tokens to be rewarded for the valid product review by the at least one smart contract, a number of tokens staked against the product review in a proof-of-stake consensus model by the at least one of the human validators, and an accuracy of the product review;
• and
• providing to at least one of the product reviewer or an owner of a product to which the product review is directed an indication of whether the product review is valid or invalid.