KR20230041410A - Method of providing review evaluation propensity based on blockchain, service plarform therefor and computer readable medium - Google Patents

Abstract

A method for providing a reviewer evaluation propensity based on a blockchain according to one embodiment of the present invention comprises: a first step of receiving review data for a product from a plurality of reviewer nodes, wherein the review data comprises a review score and a review content; a second step of generating reviewer evaluation propensity information for each of the plurality of reviewer nodes based on the received review data, and storing the generated reviewer evaluation propensity information and review data in a blockchain; and a third step of providing reviewer evaluation propensity information and review data stored in the blockchain to a buyer node, wherein the reviewer evaluation propensity information may comprise statistical data based on the review score. Therefore, the present invention is capable of ensuring accuracy of the information.

Description

Method for providing review evaluation propensity based on block chain, service platform for this, and computer-readable recording medium

This application relates to a method for providing a review evaluation propensity based on a block chain, a service platform therefor, and a computer-readable recording medium.

Customer reviews have a huge impact on online purchases. Its influence has grown at a time when non-face-to-face or online purchases have increased due to social distancing to prevent the spread of infectious diseases. When shopping non-face-to-face/online, it is difficult to directly check the status of a product or service, so dependence on reviews from other customers increases.

Sellers pay a lot of attention to managing reviews of their products on online sales platforms. This is because products that have received good ratings and reviews from customers are more likely to be exposed at the top of the platform, which can have a positive impact on sales volume. In response, there have been cases where sellers have traded fake reviews from people who have not actually used the product or service. Baedal Minjok allows only customers who have actually purchased food to leave a review within a certain period of time to prevent fake reviews, and Naver Map also proves genuine reviews through ‘receipt authentication’. Although it has become possible to check only the reviews of people who have used the service through various authentication methods, recently many sellers have been discovered to provide additional services after promising buyers to leave good reviews. This often leads to a lack of accuracy in customer reviews.

On the other hand, there are also cases where buyers make false demands to sellers under the pretext of the influence of customer reviews. They use their authority to write reviews as a weapon and make difficult demands or force excessive consideration to make sellers difficult. A bad review culture has been discovered, such as maliciously leaving a review when a request is rejected or repeatedly writing malicious reviews. Unless the bad customer deletes/modifies their review, the seller may suffer lasting damage. However, there is a lack of measures to correct the behavior of customers who have the misconception that the so-called ‘customer is king’, to set standards to remove absurd reviews, or to filter out unreliable reviews.

In addition, a solution is needed for the fundamental problem of the customer review system. In particular, since each person has different criteria, it may be difficult to accurately determine the status of a product or service with only the average review score of all customers.

Korean Registered Patent No. 10-0890422 (“Shopping system and shopping service method using user review intensive management”, registration date: March 18, 2009)

According to an embodiment of the present invention, a review based on a block chain that can secure the accuracy of information, provide a correct criterion to a buyer, and reduce unnecessary damage to a seller to create a correct review culture. A method for providing evaluation propensity, a service platform therefor, and a computer-readable recording medium are provided.

According to one embodiment of the present invention, a first step of receiving review data for a product from a plurality of reviewer nodes, wherein the review data includes review scores and review contents; a second step of generating reviewer evaluation propensity information for each of a plurality of reviewer nodes based on the received review data, and storing the created reviewer evaluation propensity information and the review data in a blockchain; and a third step of providing the reviewer evaluation propensity information and the review data stored in the blockchain to a buyer node, wherein the reviewer evaluation propensity information includes statistical data based on the review scores. A method for providing a reviewer evaluation propensity based on the present invention is provided.

According to an embodiment of the present invention, the plurality of reviewer nodes may be nodes owned by buyers who have a history of purchasing the product.

According to one embodiment of the present invention, the statistical data includes indicating the average value of review scores, standard deviation, standardized score ((review score-average score) / standard deviation) and the percentage of evaluation propensity of customers according to standardized scores. can do.

According to an embodiment of the present invention, the reviewer evaluation propensity information may further include the number of times of repurchase of the product.

According to an embodiment of the present invention, the reviewer evaluation propensity providing method may further include verifying the received review data when new review data is received from the reviewer node.

According to an embodiment of the present invention, the verifying of the received review data may include transmitting a request for verifying the review data to a plurality of reviewer nodes; and receiving verification results of the review data from a plurality of reviewer nodes, wherein the reviewer evaluation propensity providing method includes new review data and reviewer evaluation for reviewer nodes only when the verification results are received. It may further include; storing propensity information in the blockchain.

According to one embodiment of the present invention, the verification result is a value expressed as a numerical value, and the method for providing the reviewer evaluation propensity may include a reviewer node if an average value of the verification results received from a plurality of reviewer nodes is less than a preset reference value. The method may further include not providing new review data and reviewer evaluation propensity information to the buyer node.

According to one embodiment of the present invention, there is provided a computer-readable recording medium on which a program for executing the above-described method on a computer is recorded.

According to one embodiment of the present invention, a communication module for receiving review data for a product from a plurality of reviewer nodes, wherein the review data includes review scores and review contents; and a control module generating reviewer evaluation propensity information for each of a plurality of reviewer nodes based on the received review data, and storing the generated reviewer evaluation propensity information and the review data in a blockchain, wherein the control module The communication module further provides the reviewer evaluation propensity information and the review data stored in the blockchain to a buyer node, and the reviewer evaluation propensity information includes statistical data based on the review scores. Provided.

According to an embodiment of the present invention, the accuracy of information can be secured by providing the buyer with subjective reviews such as review scores and review content, as well as reviewer's evaluation propensity information in an objective form such as statistical data and the number of repurchases, Buyers can be provided with the right criteria for judgment.

In addition, when new review data is received from the reviewer node, it is verified to block malicious reviews in advance. In addition, it is classified as a malicious review and stored in the blockchain to increase the reliability of the review and reduce the damage that the seller may receive from the malicious review, thereby creating a correct review culture.

1 is a block diagram of a system for verifying malicious comments based on a block chain according to an embodiment of the present invention.
2A is an internal block diagram of a reviewer node according to an embodiment of the present invention.
2B is an internal block diagram of a service platform according to an embodiment of the present invention.
3 is a flowchart illustrating a method for providing a review evaluation propensity based on a block chain according to an embodiment of the present invention.
4 is a flowchart illustrating a process of verifying new review data of a reviewer node according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, the embodiments of the present invention can be modified in many different forms, and the scope of the present invention is not limited only to the embodiments described below. The shapes and sizes of elements in the drawings may be exaggerated for clearer explanation, and elements indicated by the same reference numerals in the drawings are the same elements.

1 is a block diagram of a review evaluation propensity providing system based on a block chain according to an embodiment of the present invention. 2A is an internal block diagram of a reviewer node according to an embodiment of the present invention, and FIG. 2B is an internal block diagram of a service platform according to an embodiment of the present invention.

First, as shown in FIG. 1, the review evaluation propensity providing system 100 based on a blockchain according to an embodiment of the present invention includes a plurality of nodes 110, 121, 122, 123 and 124) and the service platform 130.

The above-described blockchain 10 is a distributed storage system that organizes and stores transaction records in blocks. Transaction transparency is high because each system can share ledger data stored in individual databases through the network. In addition, since transactions must be verified by everyone, there is an advantage in that fraudulent transactions can be prevented. Transaction records are linked by time in a block, and one block contains connection information with previous blocks. Because of this, it is difficult to manipulate the past history and the past transaction record is certain, so it is possible to prove the transaction history objectively. Blockchain can simplify procedures and increase transparency of transactions by connecting stakeholders involved in the process. In addition, it is possible to prevent the creation of inaccurate data by leaving a record of content manipulation and verifying the content through multiple agreements.

Meanwhile, the plurality of nodes 110 , 121 , 122 , 123 , and 124 may include a buyer node 110 and reviewer nodes 121 , 122 , 123 , and 124 .

Specifically, the reviewer nodes 121 to 124 are defined as nodes of owners who have a history of purchasing products. In the present invention, the term product may be a concept including intangible services as well as tangible objects.

2a shows an internal block diagram of one reviewer node 121 according to an embodiment of the present invention, but the internal block diagram of FIG. 2a shows other reviewer nodes 122-124 or a buyer node ( 110) can also be applied in the same way.

Specifically, the control module 121a may transmit review data written by the owner of the purchased product to the service platform 130 through the communication module 121b. Here, the review data may be a concept including review scores and review contents.

In addition, when the control module 121a receives a verification request for new review data created in the reviewer node (refer to 120 in FIG. 4, described later) from the service platform 130, the owner of the reviewer node 121 inputs a verification request. Verification results may be transmitted to the service platform 130 . Here, the verification result may be a value represented by a number from 0 to 100, for example.

The aforementioned control module 121a is a blockchain-based decentralized application (Decentralized Application, DApp) and is an application that operates on platforms such as Ethereum and Quantum. In particular, the application (DApp) can enable interaction between each node (110, 121, 122, 123, 124) and the service platform 130 connected to the blockchain network 10, and can perform the various operations described above. can be done Services using applications (DApps) do not need to build a separate system because users develop activities through mutually agreed upon information based on a peer-to-peer (P2P) network.

On the other hand, the buyer node 110 is defined as a node owned by an owner who intends to purchase a product and has not yet purchased the product.

The buyer node 110 may receive reviewer evaluation propensity information and review data from the service platform 130 . Thereafter, the owner of the buyer node 110 may purchase a product based on the provided reviewer evaluation propensity information and review data.

Meanwhile, as shown in FIG. 2B , the service platform 130 may include a control module 131, a smart contract 132, and a communication module 133.

Specifically, the control module 131 of the service platform 130 receives product review data from the plurality of reviewer nodes 121 to 124 through the communication module 133, and receives a plurality of review data based on the received review data. Reviewer evaluation propensity information for each of the reviewer nodes 121 to 124 may be generated, and the generated reviewer evaluation propensity information and review data may be stored in the blockchain 10 .

In addition, the control module 131 of the service platform 130 may provide reviewer evaluation propensity information and review data stored in the blockchain 10 to the buyer node 110 through the communication module 133 .

According to one embodiment of the present invention, the reviewer evaluation propensity information may include statistical data based on review scores, and the statistical data may be an average value of review scores, a standard deviation, a standardized score, and a percentage of a customer's evaluation propensity according to a standardized score. can Through these data, it is possible to determine whether the user belongs to a customer group that gives a generous review or a customer group that gives a weak review.

In addition, according to an embodiment of the present invention, the reviewer evaluation propensity information may further include the number of repurchases of the product. The higher the number of repeat purchases, the more reliable the reviewer's review data will be.

In other words, by providing buyers with subjective reviews such as review scores and review content, as well as reviewer evaluation propensity information in objective forms such as statistical data and number of repurchases, it is possible to secure the accuracy of information and provide buyers with the correct criteria for judgment. can

Also, when new review data is received from the reviewer node, the control module 131 of the service platform 130 may verify the received review data.

To this end, the control module 131 of the service platform 130 transmits a verification request of the new review data received from the reviewer node to a plurality of reviewer nodes 121 to 124, and from the plurality of reviewer nodes 121 to 124 When the verification result is received, new review data and reviewer evaluation propensity information for the reviewer node may be stored in the blockchain 10 .

Here, the verification result may be a value expressed as a numerical value, and when the average value of the verification result received from the plurality of reviewer nodes 121 to 124 is less than a preset reference value, the control module 131 of the service platform 130 determines the reviewer The node's new review data and reviewer evaluation propensity information may not be provided to the purchaser node 110 .

In other words, when new review data is received from the reviewer node, it is verified and malicious reviews are stored in the blockchain and blocked in advance to increase the reliability of reviews and reduce unnecessary damage to sellers, creating a correct review culture. there is.

The aforementioned service platform 130 is a server to which blockchain technology is applied, and may be, for example, an online shopping mall server such as Coupang and Naver Shopping.

Meanwhile, when review data is received from the reviewer nodes 121 to 124 or a verification result is received, the smart contract 132 of the service platform 130 transmits a predetermined reward to the reviewer nodes 121 to 124. The aforementioned smart contract refers to a computer transaction protocol that automatically executes contract conditions. When certain predefined contract conditions are met, the contract is executed automatically, eliminating the need for intermediaries, which can lower arbitration and enforcement costs or other transaction costs.

The above-described buyer node 110 and reviewer nodes 121, 122, 123, and 124 include, for example, mobile phones, smart phones, personal digital assistants (PDAs), personal computers (PCs), tablet personal computers (PCs), It may include various types of terminals such as notebooks, desktop computers, and notebooks.

As described above, according to an embodiment of the present invention, in addition to subjective reviews such as review scores and review content, reviewers' evaluation propensity information is provided to buyers in objective forms such as various statistical data and the number of repurchases, thereby ensuring the accuracy of information. It can do it, and it can provide the right judgment standard to the buyer.

In addition, when new review data is received from the reviewer node, it is possible to create a correct review culture by reducing unnecessary damage to sellers by verifying it and blocking malicious reviews in advance.

Meanwhile, FIG. 3 is a flowchart illustrating a method for providing a review evaluation propensity based on a block chain according to an embodiment of the present invention.

Hereinafter, a method for verifying malicious comments based on a blockchain according to an embodiment of the present invention will be described in detail with reference to FIGS. 1 to 3 . However, for simplicity of the invention, descriptions of items overlapping with those previously described in FIGS. 1 and 2 will be omitted.

As shown in FIGS. 1 to 3, in the block chain-based method for providing reviewer evaluation propensity (S300) according to an embodiment of the present invention, the reviewer nodes 121 to 124 and the buyer node 130 operate on a service platform ( 130) may be initiated by registering (S301). Registration is a general process of inputting information of the owner of each node and setting an ID, password, etc., and a detailed description thereof will be omitted.

Next, review data for products purchased by owners of each of the plurality of reviewer nodes 121 to 124 may be created (S302). Here, review data may include review scores and review contents as described above.

Next, the plurality of reviewer nodes 121 to 124 may transmit review data to the service platform 130 (S303).

The service platform 130 receives product review data from the plurality of reviewer nodes 121 to 124 and generates reviewer evaluation propensity information for each of the plurality of reviewer nodes 121 to 124 based on the received review data. (S304), and the generated reviewer evaluation propensity information and review data may be stored in the blockchain 10 (S305).

Here, the reviewer evaluation propensity information includes statistical data based on review scores, and the statistical data may include the average value of review scores, standard deviation, standardized score, and percentage of customer evaluation propensity according to standardized scores, as described above. same.

Also, as described above, the above-described reviewer evaluation propensity information may further include the number of times of repurchase of a product.

Thereafter, the service platform 130 may provide reviewer evaluation propensity information and review data stored in the blockchain 10 to the buyer node 130 (S306).

Thereafter, the service platform 130 may transmit predetermined rewards (compensation) to the reviewer nodes 121 to 124 (S309).

Meanwhile, FIG. 4 is a flowchart illustrating a process of verifying new review data of a reviewer node according to an embodiment of the present invention.

As shown in FIG. 4, the process of verifying the new review data of the reviewer node (S400)

It may be initiated by the step of creating new review data for the purchased product by the owner of the reviewer node 120 (S401). Here, review data may include review scores and review contents as described above.

Next, the reviewer node 120 may transmit new review data to the service platform 130 (S402).

Thereafter, the service platform 130 may transmit a review data verification request to the plurality of reviewer nodes 121 to 124 (S403).

Thereafter, the plurality of reviewer nodes 121 to 124 may transmit the verification result of the review data to the service platform 130 (S404). Here, it is as described above that the verification result may be a value represented by a numerical value ranging from 0 to 100, for example.

Thereafter, the service platform 130 may store review data and reviewer evaluation propensity information transmitted from the plurality of reviewer nodes 121 to 124 in the blockchain 10 (S405).

The service platform 130 will not provide new review data and reviewer evaluation propensity information of the reviewer node to the buyer node 130 if the average value of the verification results received from the plurality of reviewer nodes 121 to 124 is less than a preset reference value. It can be as described above.

Finally, the service platform 130 may transmit predetermined rewards (compensation) to the reviewer nodes 121 to 124 (S406).

As described above, according to an embodiment of the present invention, it is possible to secure the accuracy of information by providing buyers with objective forms of evaluation propensity information such as various statistical data and repurchase counts in addition to subjective reviews such as review scores and review contents. and provide the buyer with the correct criteria for judgment.

In addition, when new review data is received from the reviewer node, it is possible to create a correct review culture by reducing unnecessary damage to sellers by verifying it and blocking malicious reviews in advance.

The above-described method for providing reviewer evaluation propensity based on block chain according to an embodiment of the present invention may be produced as a program to be executed on a computer and stored in a computer-readable recording medium. Examples of computer-readable recording media include ROM, RAM, CD-ROM, magnetic tape, floppy disk, and optical data storage devices. In addition, the computer-readable recording medium is distributed to computer systems connected through a network, so that computer-readable codes can be stored and executed in a distributed manner. In addition, functional programs, codes, and code segments for implementing the method can be easily inferred by programmers in the art to which the present invention belongs.

In addition, in describing the present invention, '~ module' refers to various methods, for example, a processor, program instructions executed by the processor, a software module, a microcode, a computer program product, a logic circuit, an application-specific integrated circuit, and firmware. etc. can be implemented.

The present invention is not limited by the above-described embodiments and accompanying drawings. It is intended to limit the scope of rights by the appended claims, and it is to those skilled in the art that various forms of substitution, modification and change can be made without departing from the technical spirit of the present invention described in the claims. It will be self-explanatory.

100: entire system
110: buyer node
121 to 124: reviewer node
121a: control module
121b: communication module
130: service platform
131: control module
132: smart contract
133: communication module
10: Blockchain

Claims (9)

A first step of receiving review data for a product from a plurality of reviewer nodes, wherein the review data includes review scores and review contents;
a second step of generating reviewer evaluation propensity information for each of a plurality of reviewer nodes based on the received review data, and storing the created reviewer evaluation propensity information and the review data in a blockchain; and
A third step of providing the reviewer evaluation propensity information and the review data stored in the blockchain to a buyer node;
Wherein the reviewer evaluation propensity information includes statistical data based on the review scores.
According to claim 1,
The plurality of reviewer nodes,
A method for providing reviewer evaluation propensity based on a blockchain, which is a node owned by a buyer who has a history of purchasing the product.
According to claim 1,
The statistical data,
Including the average value of the review score, the standard deviation, the standardized score, and the percentage of the customer's rating propensity according to the standardized score,
A method for providing reviewer rating propensity based on blockchain.
According to claim 1,
The reviewer evaluation propensity information,
A method for providing a reviewer evaluation propensity based on a block chain, further comprising the number of repurchases for the product.
According to claim 1,
The method for providing the reviewer evaluation propensity,
A method for providing reviewer evaluation propensity based on blockchain, further comprising: verifying the received review data when new review data is received from the reviewer node.
According to claim 5,
The step of verifying the received review data,
transmitting a verification request of the review data to a plurality of reviewer nodes; and
Receiving verification results of the review data from a plurality of reviewer nodes;
The reviewer evaluation propensity providing method further includes the step of storing new review data and reviewer evaluation propensity information on the reviewer node in the blockchain only when the verification result is received. How to provide.
According to claim 6,
The verification result is a value expressed as a number,
The method for providing the reviewer evaluation propensity,
If the average value of the verification results received from the plurality of reviewer nodes is less than a preset reference value, not providing new review data and reviewer evaluation propensity information of the reviewer node to the buyer node; How to provide reviewer rating propensity.
A computer-readable recording medium on which a program for executing the method of any one of claims 1 to 7 is recorded on a computer.
a communication module that receives review data on products from a plurality of reviewer nodes, the review data including review scores and review contents; and
A control module for generating reviewer evaluation propensity information for each of a plurality of reviewer nodes based on the received review data and storing the generated reviewer evaluation propensity information and the review data in a blockchain;
The control module further provides the reviewer evaluation propensity information and the review data stored in the blockchain to a buyer node through the communication module,
The reviewer evaluation propensity information includes statistical data based on the review scores.

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