KR20200093784A - Method and System for Providing Rewards for SNS Contents - Google Patents

Abstract

The present invention relates to a method and a system for providing rewards for social network service (SNS) content. According to the present invention, the method comprises the steps of: storing content feedback information on content posted on the SNS in a distributed ledger of a blockchain data structure; calculating the value of the content based on the content feedback information stored in the distributed ledger; calculating rewards for participants who participated in the content according to the value of the content; and rewarding the participants. According to an embodiment of the present invention, it is possible to induce voluntary promotion activities of SNS users. In particular, by maintaining content feedback information on SNS participation of SNS users through a distributed ledger, content feedback information can be transparently managed and verified, and reliability can be increased for a reward system based on content feedback information of the users.

Description

Social network service content reward method and system{Method and System for Providing Rewards for SNS Contents}

The present invention relates to a social network service content compensation method and system, and relates to a social network service content compensation method and system capable of inducing a voluntary public relations activity of a social network service (SNS) user.

Recently, due to the remarkable spread of smartphones, the use of social network services (SNS) has been very active in various gatherings and information sharing. In addition, as the purpose and application fields of SNS are gradually diversified, the speed of its spread is rapidly increasing, and the number of users is rapidly increasing.

Currently, SNS has established itself as a representative tool for promotional marketing in addition to the purpose of social networking or community formation. For example, there are more and more cases where products or services are purchased due to influences of reviews or reviews of products or services of other users posted on SNS represented by Facebook and Twitter blogs.

However, existing SNS marketing is only used as a means of introducing a simple product or service, and it is better to accurately judge the value calculated through this or properly compensate for the sale of the product or service made through this. I am not going.

Korea Patent Publication No. 2012-0094656 (published date: 2012-08-27)

Technical problem to be achieved by the present invention is to provide a social network service content compensation method and system that can induce voluntary publicity activities of social network service (SNS) users based on blockchain.

The method for compensating for social network service contents according to an embodiment of the present invention for solving the above technical problem is to provide content feedback information for content posted on a social network service to a distributed ledger of a blockchain data structure. Storing, calculating the value of the content based on the content feedback information stored in the distributed ledger, calculating a reward for participants participating in the content according to the value of the content, and the participants And providing rewards.

The content feedback information may include reaction information of users of social network services to the content.

The content feedback information may further include information about a content publisher who has posted the content.

The content may include a feedback program for transmitting the content feedback information to a reward platform for managing the distributed ledger of the blockchain data structure, and may be posted on the social network service.

The rewards of the participants may be calculated by distributing the calculated value for the content according to the contributions of the participants.

The value of each content may be calculated to match the value of the entire content in which the content feedback information is stored in the distributed ledger for a predetermined period of time to match the compensation budget allocated in the predetermined period.

The reward provided to the participants can be provided as a token generated in the blockchain network.

The token can be exchanged for membership points, and only the member subscriber of the membership point among the participants can be provided with the reward.

The participants may include the content publisher and users who provided a response to the content.

The reaction to the content may include writing a comment on the content and evaluating a recommendation for the content.

The content feedback information may include a content publisher, a content posting time, a comment author, a comment writing time, a recommendation evaluator, and a recommendation evaluation time.

The value of the content may be calculated by reflecting the number of comments on the content, the number of recommendation evaluations, the elapsed time from the content posting time to the comment writing time, and the time from the content posting time to the recommended evaluation time.

The value for the content can be calculated by Equation 1 below.

[Equation 1]

R _n = R _A +R _B +R _C

R _A = A×α

R _B = ΣR _Bi = ΣB×S _i ×T _i ×α

R _C = ΣR _Cj = ΣC×S _j ×T _j ×α

R _n is the value of the n-th content among all the contents in which the content feedback information is stored in the distributed ledger for a predetermined period, R _A is the value given for posting the n-th content, and R _B is written for the n-th content The sum of the values of all comments, R _Bi is the value of the i-th comment for the n-th content, R _C is the sum of the value of the overall recommendation rating for the n-th content, and R _Cj is the j-th for the n-th content The value of the recommendation evaluation, A is the value reference value for posting content, B is the value reference value for commenting, C is the value reference value for recommendation evaluation, and α is the content so that the value of the entire content matches the predetermined compensation budget A correction factor for correcting the value of each star, S _i is a weight assigned according to the order of the i-th comment on the n-th content, and T _i is assigned according to the elapsed time from the time of posting the n-th content to the time of writing the i-th comment Is a weight, S _j is a weight assigned according to the j-th recommendation evaluation order for the n-th content, and T _j may be a weight assigned according to the elapsed time from the n-th content posting time to the j-th recommendation evaluation time.

The social network service content compensation system according to an embodiment of the present invention for solving the above-described technical problem, provides content feedback information for content posted on the social network service to the distributed ledger of the blockchain data structure. Store, calculate the value of the content and the contribution of participants to the content based on the content feedback information stored in the distributed ledger, and provide rewards to the participants based on the value of the content and the contribution of the participants It may include a reward platform.

A computer-readable recording medium recording a program for executing the above-described method on a computer according to an embodiment of the present invention for solving the above technical problem may be included.

According to an embodiment of the present invention, it is possible to induce voluntary public relations activities of SNS users. In particular, by maintaining content feedback information on SNS users' participation in SNS through a distributed ledger, it is possible to transparently manage and check the content feedback information. In addition, it is possible to increase the reliability of the reward system based on the content feedback information of users.

1 is a block diagram of a social network service content reward system according to an embodiment of the present invention.
2 is an operation flowchart of a social network service content reward system according to an embodiment of the present invention.
3 is a diagram illustrating an interface screen of a program that transmits SNS content feedback information to a reward platform according to an embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art to which the present invention pertains may easily practice. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. In addition, in order to clearly describe the present invention in the drawings, parts irrelevant to the description are omitted, and like reference numerals are assigned to similar parts throughout the specification.

Throughout the specification, when a part “includes” a certain component, it means that the component may further include other components, not to exclude other components, unless otherwise stated.

In addition, the terms “… unit” and “… module” described in the specification mean a unit that processes at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software.

1 is a block diagram of a social network service content reward system according to an embodiment of the present invention.

Referring to Figure 1, the social network service content compensation system according to the present invention is a user terminal (100a, 100b, ..., 100m), social network service system (hereinafter referred to as SNS system) (200a, 200b, ..., 200n), reward platform 300 and a membership service system 400.

User terminal (100a, 100b, ..., 100m), social network service system (hereinafter referred to as SNS system) (200a, 200b, ..., 200n), reward platform 300 and membership service system 400 through the communication network 10 Various information and data can be exchanged.

The communication network 10 is a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN), the Internet, 2G, 3G, 4G, 5G, LTE mobile communication network, It can include low power wide area (LPWA) networks such as Bluetooth, Wi-Fi, Wibro, satellite communication networks, LoRa, Sigfox, etc., and communication methods are not limited to wired or wireless. Does not matter.

The user terminals 100a, 100b, ..., 100m are information communication terminals used by users using social network services. The user terminal (100a, 100b, ..., 100m) is a desktop computer (Desktop Computer), a notebook computer (Notebook Computer), a smart phone (Smart Phone), tablet (Tablet) PC, personal digital assistant (Personal Digital Assistant, PDA) B. It can be implemented as an information communication terminal equipped with a computing means equipped with a memory means and a microprocessor such as a Web pad.

The user uses a social network service provided by the SNS systems 200a, 200b, …, 200n using a web browser installed on the user terminal 100a, 100b, …, 100m or an app dedicated to a social network service. It can be a user. SNS users may include content publishers and users who provide responses to the content. Reaction to content may include commenting on content, rating recommendations, reporting, sharing, and the like. The recommendation evaluation may be an intention to'recommend' or'recommend' the content to others. Also, the recommendation evaluation may be an evaluation of the likeness of the content, such as'Like','I dislike'. Of course, in addition to what has been described herein, it can be understood to include various methods that can represent a user's reaction to posted content provided by each social network service.

The SNS systems 200a, 200b, …, 200n are systems that provide social network services. Here, the social network service means an online service that creates and strengthens social relationships through free communication between users, information sharing, and network expansion. Social network services can share content posted on a single media page among users, such as blogs, Facebook, Twitter, Instagram, etc., and can include services that share ratings or comments on posted content between users. have. Of course, it may include a service for sharing content posted on an online community bulletin board to which two or more users belong, as well as a one-person media page among users.

The SNS systems 200a, 200b, ..., 200n may be utilized as a system providing an existing social network service, and the SNS systems 200a, 200b, ..., 200n are changed for content compensation according to the present invention. It doesn't have to be. Of course, it is possible to apply the content compensation service according to the present invention to the newly developed social network system.

The membership service system 400 is a system that provides membership services to registered members. Specifically, the membership service system 400 may provide services such as accumulation of membership points and use of membership points for a user who purchases or uses products or services of a membership service operator or an affiliate. Here, the membership point may be a virtual money that is accumulated so that a group of financial companies including a bank can use it as cash according to a user's financial transaction or a specific event. For example, banks, card companies, insurance companies, investment companies, and capital companies belonging to the same group of financial companies integrate and operate membership point services while accumulating membership points to users according to financial transactions or specific events. It can be used with cash at financial transactions in or at merchants of credit card companies. Of course, membership points can also be used when using products or services of other affiliates affiliated with a group of financial companies, and conversely, membership points can be accumulated.

The reward platform 300 may store content feedback information for content posted on the SNS systems 200a, 200b, ..., 200n in a distributed ledger of the blockchain data structure. In addition, the reward platform 300 may calculate the value of the content and the contribution of participants to the content based on the content feedback information stored in the distributed ledger. The reward platform 300 may provide rewards to the participants based on the value of the content and the contribution of the participants.

Here, the content participant may include users who post content or provide a response to the posted content. In addition, the content feedback information may include reaction information of users of social network services on the content, and may include information on a content publisher who has posted the content.

The reward platform 300 may include a P2P structured blockchain network composed of a plurality of nodes operating according to the blockchain algorithm. A plurality of nodes constitutes a blockchain network and represents a subject that maintains and manages blockchain data based on the blockchain algorithm. The node may be implemented as a computing device, but may also be implemented as a virtual machine.

The computing device may be a laptop, a desktop, a laptop, etc., but is not limited thereto, and may include all types of devices equipped with a processor and communication means.

On the other hand, the node of the blockchain network verifies the validity of the transaction in response to the request for processing the generated transaction, records the verified transaction in a new block, and propagates it on the blockchain network. Here, the transaction may include processing various types of information generated on the blockchain network. Each node maintains the same blockchain data.

The task of providing rewards to participants based on the value of content and the contribution of participants can be implemented to be performed only on one or more predetermined nodes among the nodes of the blockchain network.

In order to protect personal information stored in the distributed ledger of the blockchain in the process of content compensation, it is desirable to implement the node of the blockchain network as a private blockchain that only authorized nodes can participate. For example, only nodes managed by the operators of the social network service system (hereinafter referred to as the SNS system) 200a, 200b, ..., 200n or nodes managed by the operator of the membership service system 400 may participate.

Meanwhile, depending on the embodiment, the user terminals 100a, 100b, ..., 100m may participate as nodes of the blockchain network. As the user terminals 100a, 100b, ..., and 100m participate in the maintenance of a distributed ledger that stores content feedback information as nodes of the blockchain network, content feedback information can be managed and verified transparently. Therefore, users can be more reliable in a reward system based on content feedback information.

2 is an operation flowchart of a social network service content reward system according to an embodiment of the present invention.

1 and 2, the first user may post content to the SNS system 200a using the user terminal 100a (S210 ). Hereinafter, a user who posts content is referred to as a content publisher. In step S210, the content may include a feedback program that transmits content feedback information to the reward platform 300 that manages the distributed ledger of the blockchain data structure. It is possible to use tracking codes on HTML to track feedback on the content posted on the SNS system 200a by participation of SNS users, such as commenting, recommendation, and reporting, to the reward platform 300. This tracking code can be implemented as a mini-program such as a widget running on the widget engine using JavaScript and XML. The tracking code corresponding to the content feedback program is distributed by the operator of the membership service system 400 and can be used by the user.

Next, the second user may check the content posted on the SNS system 200a using the user terminal 100b, and input a response on the interface screen 20 as illustrated in FIG. 3 (S220).

3 is a diagram illustrating an interface screen of a program that transmits SNS content feedback information to a reward platform according to an embodiment of the present invention.

Referring to FIG. 3, the interface screen 20 may include a comment input UI 21, a recommendation UI 22, a deprecated UI 23, and a report UI 24 for content. In addition, the interface screen 20 may include a membership subscription UI 25.

The comment input UI 21 supports input of comments on content, the recommendation UI 22 selects recommendation for content, and the deprecated UI 23 selects deprecation for content, and reports UI 24 reports content And so on. Of course, in addition to the example illustrated herein, a UI may be provided to receive other types of responses to the content from the user.

The membership subscription UI 25 may support linking to a page for membership membership. Users who have not yet signed up for the membership service can be rewarded for participating in the content by going to the membership service sign-up page through the membership sign-up UI 25 and signing up for membership and inputting responses to the content. In this way, by limiting the reward for participating in content to a member member of the membership point, subscription of the membership service can be induced.

The interface screen 20 may include a message that asks whether the content has been helpful in understanding the targeted product, and a message that a reward is provided by providing a response such as a comment, recommendation, disapproval, or report on the content. have.

When the second user inputs a response to the content on the interface screen 20 (S220-Y), the feedback program may transmit the content feedback information to the reward platform 300 to be stored in the distributed ledger of the blockchain data structure. Yes (S230). In step S230, the content feedback information may be set to be transmitted to a specific node constituting the blockchain network of the reward platform 300.

When a response is input from the user terminal (100a, 100b, ..., 100m) to the content posted on the SNS system (200a, 200b, ..., 200n) until a predetermined period of time has elapsed (S230- Y), the content feedback information is transmitted to the reward platform 300 and stored in the distributed ledger of the blockchain data structure (S240) is repeated. Here, the predetermined period may be determined on a daily basis or on a monthly basis, and may be determined to be shorter than a daily unit or longer than a monthly unit according to an embodiment.

When a predetermined period has elapsed, the reward platform 300 may calculate the value of the content based on the content feedback information stored in the distributed ledger in the corresponding period (S250).

In step S250, the content value may be calculated by reflecting the number of comments on the content, the number of recommendation evaluations, the elapsed time from the content posting time to the comment writing time, and the time from the content posting time to the recommendation evaluation time.

The value of the content can be calculated using Equation 1 below. Equation 1 below is a content value calculation method applied when content participation is simplified to content posting, content commenting, and content recommendation evaluation. It should be understood that content value can be calculated in various ways in addition to the methods described herein.

[Equation 1]

R _n = R _A +R _B +R _C

R _A = A×α

R _B = ΣR _Bi = ΣB×S _i ×T _i ×α

R _C = ΣR _Cj = ΣC×S _j ×T _j ×α

It is assumed and assumed that the total number of contents in which the content feedback information is stored in the distributed ledger for a predetermined period is N.

R _n represents the value of the nth content among N content.

R _A is the value assigned to the nth content posting.

R _B is the sum of the values of all comments written for the nth content.

R _Bi is the value of the i-th comment for the n-th content.

R _C is the sum of the values of the overall recommendation rating for the nth content.

R _Cj is the value of the j-th recommendation rating for the n-th content.

A is a value reference value for posting content, B is a value reference value for commenting, and C is a value reference value for recommendation evaluation. For example, the value reference value (A) of content posting may be set to '100' the highest, the value reference value (B) for commenting may be set to '10', and the value reference value (C) for recommendation evaluation may be set to '1'. . Of course, each reference value (A, B, C) may be determined differently according to embodiments.

α is a correction coefficient for correcting the value for each content so that the total value of N content matches a predetermined compensation budget. By calculating the value of each content so that the value of the entire content in which the content feedback information is stored in the distributed ledger for a predetermined period matches the reward budget allocated in the corresponding period, the compensation according to the promotion can be adjusted to be within a predetermined budget range. .

S _i is a weight assigned according to the order of the i-th comment on the n-th content.

T _i is a weight assigned according to the elapsed time from the time of posting the n-th content to the time of writing the i-th comment.

S _j is a weight assigned according to the j-th recommendation evaluation order for the n-th content.

T _j is a weight assigned according to the elapsed time from the nth content posting time to the jth recommendation evaluation time.

The weights (S _i ,T _i ,S _j ,T _j ) are preferably set to be higher as the order is faster or the elapsed time is shorter based on when the content was posted. In this way, the more the participation in the content is, the higher the value of the content is, and the higher the compensation is, the more active and quick participation of the users can be.

When the value R _n of the content is determined by Equation 1, the reward platform 300 may calculate the reward for the corresponding content participant (S260).

In the simplest way, rewards can be calculated according to the contribution of participants to the value of content (R _n ). By example, the n-th content hayeoteumeuro contributed by R _A, R _A can be calculated to compensate. Similarly, n i-th Comment by the second content is R _Bi, n j-th of the second content recommendation evaluator can be calculated as R _Cj are compensation.

Alternatively, the participant's compensation can be calculated by Equation 2 below.

[Equation 2]

r _a = R _n ×β _a

r _bi = R _n ×β _b ×(R _Bi /R _B )

r _cj = R _n ×β _c ×(R _Cj /R _C )

β _a , β _b , β _c is a preset coefficient, and different weights may be applied when calculating the reward contribution according to the content participation type. For example, β _a =0.7, β _b =0.2, Assuming β _c =0.1, the content publisher can receive 70% of the value of the content (R _n ) as a reward. The i-th commenter can receive a value obtained by multiplying (R _Bi /R _B ) by 20% of the value (R _n ) of the content. The j-th recommended evaluator can receive a value obtained by multiplying (R _Cj /R _C ) by 10% of the value (R _n ) of the content.

According to Equation 2, it is possible to ensure that a certain percentage of the content value is compensated for the content publisher. Therefore, it is possible to induce users to more actively post promotional SNS content to the social network service they use.

Equation 1 for calculating the content value described above or Equation 2 for calculating the reward for a participant can be variously changed according to an embodiment. For example, although not reflected in the above embodiment, if there are more than a predetermined number of users who report the content, a certain percentage of the value of the content may be compensated to the reporter. In order to prevent false notifications for compensation, it is also possible to implement a penalty for recovering some of the tokens held by the reporter or applying a penalty limiting participation for a certain period of time if the reporter is less than a certain number.

Finally, the reward platform 300 may provide rewards to participants (S270). In step S270, the reward may be provided as a token generated by the reward platform 300 or as a membership point provided by the membership service system 400.

On the other hand, in addition to the content feedback information stored in the distributed ledger of the reward platform 300 in step S230 according to an embodiment, the reward information calculated for each participant in step S260 and the reward in step S270 are provided accordingly Information and the like can also be stored in the distributed ledger of the reward platform 300.

The embodiments described above may be implemented with hardware components, software components, and/or combinations of hardware components and software components. For example, the devices, methods, and components described in the embodiments include, for example, processors, controllers, arithmetic logic units (ALUs), digital signal processors (micro signal processors), microcomputers, and field programmable gates (FPGAs). It can be implemented using one or more general purpose computers or special purpose computers, such as arrays, programmable logic units (PLUs), microprocessors, or any other device capable of executing and responding to instructions. The processing device may run an operating system (OS) and one or more software applications running on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to the execution of the software. For convenience of understanding, a processing device may be described as one being used, but a person having ordinary skill in the art, the processing device may include a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that may include. For example, the processing device may include a plurality of processors or a processor and a controller. In addition, other processing configurations, such as parallel processors, are possible.

The software may include a computer program, code, instruction, or a combination of one or more of these, and configure the processing device to operate as desired, or process independently or collectively You can command the device. Software and/or data may be interpreted by a processing device or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodied in the transmitted signal wave. The software may be distributed on networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, or the like alone or in combination. The program instructions recorded on the medium may be specially designed and constructed for the embodiments or may be known and usable by those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, and magnetic media such as floptical disks. -Hardware devices specifically configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language code that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described by the limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques are performed in a different order than the described method, and/or the components of the described system, structure, device, circuit, etc. are combined or combined in a different form from the described method, or other components Alternatively, even if replaced or substituted by equivalents, appropriate results can be achieved.

10: Network
100a, 100b,… , 100m: User terminal
200a, 200b,… , 200n: social network service system
300: reward platform
400: membership service system

Claims (24)

Storing content feedback information on the content posted on the social network service in the distributed ledger of the blockchain data structure,
Calculating the value of the content based on the content feedback information stored in the distributed ledger,
Calculating rewards for participants who participated in the content according to the value of the content, and
Rewarding the participants
Social network service content compensation method comprising a. In claim 1,
The content feedback information,
A method of compensating for a social network service content including reaction information of users of the social network service to the content. In claim 2,
The content feedback information,
Social network service content compensation method further comprising information about the content publisher who posted the content. In claim 3,
The content includes a feedback program that transmits the content feedback information to a reward platform for managing the distributed ledger of the blockchain data structure, and the social network service content reward method posted on the social network service. In claim 2,
Social network service content reward method for calculating the rewards of the participants by distributing the calculated value for the contents according to the contributions of the participants. In claim 5,
A method for compensating for a content of a social network service that calculates a value for each content such that the value of the entire content in which content feedback information is stored in the distributed ledger for a predetermined period matches the reward budget allocated in the predetermined period. In claim 1,
The reward provided to the participants is a social network service content reward method provided as a token generated in the blockchain network. In claim 7,
The tokens can be exchanged for membership points,
A social network service content reward method in which the reward is provided only to the member subscriber of the membership point among the participants. In claim 3,
The participants include the content publisher and users who provided a response to the content,
The response to the content includes commenting on the content and recommendation evaluation for the content,
The content feedback information includes a content publisher, a content posting time, a comment author, a comment writing time, a recommendation evaluator, and a recommendation rating time. In claim 9,
The value of the above content,
A method of compensating for a social network service content, which is calculated by reflecting the number of comments on the content, the number of recommendation evaluations, the elapsed time from the time of posting the content to the time of writing the comment, and the elapsed time from the time of posting the content to the recommendation of the content. In claim 10,
The value for the above content is calculated by the formula 1 below.
[Equation 1]
R _n = R _A +R _B +R _C
R _A = A×α
R _B = ΣR _Bi = ΣB×S _i ×T _i ×α
R _C = ΣR _Cj = ΣC×S _j ×T _j ×α
R _n is the value of the n-th content among all the contents in which the content feedback information is stored in the distributed ledger for a predetermined period, R _A is the value given for posting the n-th content, and R _B is written for the n-th content The sum of the values of all comments, R _Bi is the value of the i-th comment for the n-th content, R _C is the sum of the value of the overall recommendation rating for the n-th content, and R _Cj is the j-th for the n-th content The value of the recommendation evaluation, A is the value reference value for posting content, B is the value reference value for commenting, C is the value reference value for recommendation evaluation, and α is the content so that the value of the entire content matches the predetermined compensation budget A correction factor for correcting the value of each star, S _i is a weight assigned according to the order of the i-th comment for the n-th content, and T _i is assigned according to the elapsed time from the time of posting the n-th content to the time of writing the i-th comment Is a weight, S _j is a weight assigned according to the j-th recommendation evaluation order for the n-th content, and T _j is a weight assigned according to the elapsed time from the n-th content posting time to the j-th recommendation evaluation time. Content feedback information for the content posted on the social network service is stored in the distributed ledger of the blockchain data structure, and based on the content feedback information stored in the distributed ledger, the value of the content and the content A reward platform that calculates the contributions of participants and provides rewards to the participants based on the value of the content and the contributions of the participants
Social network service content reward system comprising a. In claim 12,
The content feedback information,
A social network service content reward system including response information of social network service users to the content. In claim 13,
The content feedback information,
Social network service content compensation system further comprising information about the content publisher who posted the content. In claim 13,
The content includes a feedback program that transmits the content feedback information to a reward platform for managing the distributed ledger of the blockchain data structure, and the social network service content reward system is posted on the social network service. In claim 13,
The reward platform,
A social network service content reward system that calculates a value for the content and calculates the rewards of the participants by distributing the calculated value for the content according to the contribution ratio of the participants. In claim 16,
The reward platform,
A social network service content compensation system that calculates the value of each content so that the value of the entire content in which content feedback information is stored in the distributed ledger for a predetermined period matches the compensation budget allocated in the predetermined period. In claim 12,
The reward provided to the participants is a social network service content reward system provided as a token generated in the blockchain network. In claim 18,
The tokens can be exchanged for membership points,
A social network service content reward system in which the reward is provided only by the member subscriber of the membership point among the participants. In claim 14,
The participants include the content publisher and users who provided a response to the content,
The response to the content includes commenting on the content and recommendation evaluation for the content,
The content feedback information includes a content publisher, a content posting time, a comment author, a comment writing time, a recommendation evaluator, and a recommendation rating time. In claim 14,
The value of the above content,
The social network service content compensation system is calculated by reflecting the number of comments on the content, the number of recommendation evaluations, the elapsed time from the time of posting the content to the time of writing the comment, and the time from the time of posting the content to the recommendation of the recommendation. In claim 21,
The value for the above content is calculated by Equation 1 below.
[Equation 1]
R _n = R _A +R _B +R _C
R _A = A×α
R _B = ΣR _Bi = ΣB×S _i ×T _i ×α
R _C = ΣR _Cj = ΣC×S _j ×T _j ×α
R _n is the value of the n-th content among all the contents in which the content feedback information is stored in the distributed ledger for a predetermined period, R _A is the value given for posting the n-th content, and R _B is written for the n-th content The sum of the values of all comments, R _Bi is the value of the i-th comment for the n-th content, R _C is the sum of the value of the overall recommendation rating for the n-th content, and R _Cj is the j-th for the n-th content The value of the recommendation evaluation, A is the value reference value for posting content, B is the value reference value for commenting, C is the value reference value for recommendation evaluation, and α is the content so that the value of the entire content matches the predetermined compensation budget A correction factor for correcting the value of each star, S _i is a weight assigned according to the order of the i-th comment on the n-th content, and T _i is assigned according to the elapsed time from the time of posting the n-th content to the time of writing the i-th comment Is a weight, S _j is a weight assigned according to the j-th recommendation evaluation order for the n-th content, and T _j is a weight assigned according to the elapsed time from the n-th content posting time to the j-th recommendation evaluation time. In claim 12,
The user terminal of the participants,
Social network service content reward system that participates as a node of the blockchain network that stores the distributed ledger. A computer-readable recording medium in which a program for executing any one of the above methods 1 to 11 is recorded on a computer.

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