Block chain smart contract-based credible evaluation method

Abstract

The invention discloses a Block chain smart contract-based credible evaluation method. The method comprises the following steps: 1, performing contract construction; step 2, performing platform limitation setting; step 3, obtaining a token; step 4, forming comments; 5, commenting by a user; step 6, commenting by a merchant; step 7, solidifying the comments; step 8, performing dispute voting; step 9, performing benign guidance. According to the invention, a block chain incentive mechanism is constructed, so that the user is promoted to publish real comments and carry out legitimate operation, the comment motivation of the user is improved, benign development among a platform, a merchant and the user is realized, a comment token mechanism is constructed, the comment falsification cost is improved, the behavior that the user publishes false comments is effectively struck, the number of false comments is greatly reduced, the problems of false comment flooding and serious scalping phenomena are effectively solved, the false comments and real comments are distinguished through a mode of platform fixed comments and merchant questions, and credibility of merchants and the platform is maintained.

Description

technical field [0001] The invention relates to the technical field of evaluation methods, in particular to a trusted evaluation method based on blockchain smart contracts. Background technique [0002] With the development of the Internet, online shopping has become a new consumption method generally accepted by the public. In a 2011 survey, 87% of consumers said positive reviews drove their decision to purchase a product; online customer reviews are the second most trusted source of product information, after family and friends recommendations. But only 3% to 10% of customers leave a review. Amazon is the world's largest e-commerce platform, with a market capitalization of more than $760 billion, making it the second-highest company in the world, after Apple. There are about 250 million reviews on the Amazon platform. Among the 58.5 million reviews collected, 9.1% of them were marked as "abnormal" after a simple exclusion algorithm, that is, about 5.3 million reviews wer...

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Problems solved by technology

[0003] However, most of the existing evaluation methods have the following problems: first, the period for sellers to go through legal proceedings to protect their rights and interests is long, and there is a certain cost, and the losses caused by false evaluations are irreparable, especially the loss of reputation; second, human review The possibility of disputes is high, and there is a problem of low efficiency. When posting comments, the review process may slow down the timeliness and discourage customers' enthusiasm for commenting on products. Reviewing after comments will result in differences in the technical level of auditors. The audit results are not objective enough, and the losses caused during the audit period are also irreparable; third, the algorithmic audit comments are relatively easy to avoid audits due to the fixedness of the program audit judgment method, and cannot achieve the expected results

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