Fan Index Measurement and Reward Method

Abstract

The fan random index measurement and reward method according to an embodiment of the present invention is a method in which at least one processor of a fan platform service server measures and rewards a fan random index, and includes steps of collecting fan activity data for each fan user, determining a fan random index (Fandom-index) including activity amount information for each fan user based on the collected fan activity data, providing ranking information among the fan users for a predetermined activity target based on the activity amount information in the determined fan random index, and providing an NFT (Non-Fungible Token) reward based on the ranking information.

Description

Technical Field

[0001] The present invention relates to a method for measuring a fandom index and providing rewards. More specifically, the present invention relates to a method for measuring a fandom index and providing rewards, which generates a fandom index representing the characteristics of various fan activities (Fan-activity) performed by fan users, and provides customized rewards for the fan users based on the generated fandom index.

Background Art

[0002] Fandom refers to people or groups who are passionately fond of, immersed in, and deeply involved in a specific person (especially an entertainer, etc.) or field.

[0003] In recent years, services that provide a fandom platform, which is an online space where such fandoms can gather and conduct activities, have attracted attention.

[0004] Specifically, the fandom platform service can be understood as an online platform service that supports various fan activities, including various publicity activities, purchase activities, and / or participation activities, etc., carried out on / offline through the connection between fans and a specific person or field.

[0005] In the conventional art of this technical field, in order to make a large number of fan users more active and conduct positive fan activities on the above-mentioned fandom platform, a service has been realized that provides corresponding rewards to fan users who meet predetermined requirements.

[0006] However, in the conventional reward service, only the rewards paid to the fan users are determined within the scope of ordinary rewards by a universal reward system (for example, providing a predetermined emblem, providing the right to purchase tickets, and / or providing coupons, etc.), and there is a problem that there is a limit in satisfying the reward satisfaction of fan users who have continuously carried out fan activities and new-generation fan users.

[0007] Therefore, the need for the development and introduction of a differentiated reward system that can more effectively improve the reward satisfaction of fan users is increasing day by day.

[0008] On the other hand, in recent years, with the epoch-making development of blockchain technology, the utilization of NFT (Non-Fungible Token) based on this has been expanding in various fields.

[0009] Here, the NFT means a virtual token that uses blockchain technology to prove the owner of digital assets.

[0010] Specifically, the NFT can be a kind of virtual authenticity certificate used for the purpose of representing its unique originality and ownership by putting the address indicating a digital file such as a predetermined image, picture, and / or audio into the token.

[0011] That is, the NFT can mean a unique digital file form registered on the blockchain, and such an NFT has the advantage that its economic value can gradually increase as time goes by, and the interest in the NFT is also gradually increasing. Summary of the Invention Problems to be Solved by the Invention

[0012] The present invention aims to provide a method for measuring a fandom index that represents the characteristics of various fan activities (Fan-activity) performed by fan users, and to provide a customized reward for the fan users based on the generated fandom index.

[0013] In addition, the present invention aims to provide a method for measuring a fandom index and providing a reward in a manner that is differentiated from existing methods based on NFT (Non-Fungible Token) technology.

Means for Solving the Problems

[0014] The method for measuring a fandom index and providing a reward according to an embodiment of the present invention is a method in which at least one processor of a fan platform service server measures and rewards a fandom index, and includes the steps of collecting fan activity data for each fan user, determining a fandom index (Fandom-index) including activity amount information for each fan user based on the collected fan activity data, providing ranking information among the fan users for a predetermined activity target based on the activity amount information in the determined fandom index, and providing an NFT (Non-Fungible Token) reward based on the ranking information.

[0015] At this time, the NFT (Non-Fungible Token) reward is a reward provided based on an NFT that is a digital file registered on a blockchain (BlockChain).

[0016] In addition, the step of providing an NFT reward based on the ranking information includes the step of providing the NFT reward in at least one of an NFT free provision method and an NFT purchase right provision method.

[0017] In addition, the fan activity data includes at least one parameter information among activity target information for identifying the activity target which is the target of the fan activity, activity section information for identifying the field of the fan activity, activity time information for identifying the time point of the fan activity, activity type information for identifying the detailed history of the fan activity, activity reaction information for identifying the reactions of other users to the fan activity, and the activity amount information for numerically identifying the execution amount of the fan activity.

[0018] In addition, the step of providing the NFT reward based on the ranking information includes the step of obtaining the attribute information for each NFT, the step of comparing the obtained attribute information for each NFT with the attribute information of the fan random index determined based on each parameter value of the fan activity data, the step of detecting the NFT attribute information corresponding to the attribute information of the fan random index by the comparison, and the step of providing a made-to-order NFT having the detected NFT attribute information as a reward.

[0019] In addition, the NFT attribute information includes at least one parameter information among production target information for identifying the production target of the NFT, production section information for identifying the activity field of the production target, production time information for identifying the production and use time points of the NFT, and production format information for identifying the data file format of the NFT.

[0020] In addition, the step of comparing the attribute information for each NFT with the attribute information of the fan random index includes the step of mutually comparing each parameter value of the attribute information for each NFT with the corresponding parameter value of the fan random index attribute information.

[0021] In addition, the step of providing the made-to-order NFT as a reward includes, if there are a plurality of the detected made-to-order NFTs, determining any one of the plurality of made-to-order NFTs as the made-to-order main NFT based on the preset priority information for each parameter of the random index attribute information, and providing the determined made-to-order main NFT as a reward.

[0022] It further includes the step of presetting the priority information, and the step of presetting the priority information includes presetting the priority information based on at least one of the sub-activity amount information obtained by classifying the activity amount information for each parameter of the random index attribute information and the default priority.

[0023] In addition, the step of collecting the fan activity data includes collecting first fan activity data based on an internal service and second fan activity data based on an external service.

[0024] In addition, the step of determining the random index includes summarizing the first fan activity data and the second fan activity data for each corresponding parameter of the respective fan activity data, and the step of summarizing for each parameter includes adding the first activity amount information of the first fan activity data and the second activity amount information of the second fan activity data to determine the comprehensive activity amount information of the random index.

[0025] In addition, the step of providing the NFT reward based on the ranking information includes detecting at least some of the fan users who meet a predetermined criterion based on the activity amount information among the fan users, and providing the NFT reward via the terminals of the detected fan users.

[0026] On the one hand, the fandom index measurement and reward method according to an embodiment of the present invention is a method in which a fan platform application executed by at least one processor of a fan terminal measures and rewards a fandom index, including steps of generating fan activity data, obtaining a fandom index (Fandom-index) based on the generated fan activity data, providing predetermined ranking information based on activity amount information within the obtained fandom index, and providing an NFT (Non-Fungible Token) reward based on the provided ranking information.

[0027] At this time, the step of providing the NFT reward based on the ranking information includes the step of providing the NFT reward when a predetermined criterion based on the activity amount information is satisfied.

[0028] Also, the step of providing the NFT reward based on the ranking information includes the step of providing the NFT reward in at least one of an NFT free provision method and an NFT purchase right provision method.

Advantages of the Invention

[0029] The fandom index measurement and reward method according to an embodiment of the present invention has an effect that various services related to the fan activity (for example, fandom management, reward provision, and / or event planning, etc.) can be easily realized based on systematized data by generating and managing a fandom index that represents characteristics of various fan activities (Fan-activity) performed by a fan user and matching it with the target of the fan activity and / or the fan user.

[0030] In addition, the random index measurement and reward method according to the embodiment of the present invention provides a customized reward that reflects the objects of interest of the fan user and the preferred fan activity method based on the fan activity history based on the generated random index, thereby providing a reward that acts as a greater value to the fan user, and as a result, it has the effect of increasing the reward satisfaction of the fan user and enhancing more active and lively fan activities in the future.

[0031] In addition, the random index measurement and reward method according to the embodiment of the present invention analyzes the metadata based on the random index and provides a customized reward based on the interest of the fan user, thereby having the effect of leading to continuous participation of the fan user in fan activities.

[0032] In addition, the random index measurement and reward method according to the embodiment of the present invention provides a reward in a manner differentiated from the existing one based on NFT (Non-Fungible Token) technology, thereby enhancing the continuous participation and interest of a wide range of fan bases including fan users who have been conducting fan activities for a long time and new-generation fan users. Through this, various advantages due to the increase in fan activities, such as increasing the user retention time on the fan platform service, can be more effectively realized.

Brief Description of the Drawings

[0033]

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Mode for Carrying Out the Invention

[0034] The present invention can be subjected to various transformations and can have various embodiments. Specific embodiments are illustrated in the drawings and will be described in detail in the detailed description. The effects and features of the present invention, and the methods for achieving them, will become clear by referring to the embodiments described in detail below together with the drawings. However, the present invention is not limited to the embodiments disclosed below and the like, and can be realized in various forms. In the following embodiments, terms such as first, second, etc. are not used in a limiting sense, but are used for the purpose of distinguishing one component from another. Also, a singular expression includes a plural expression unless the context clearly indicates otherwise. Also, terms such as "comprising" or "having" mean that the features or components described in the specification exist, and do not preclude in advance the possibility that one or more other features or components may be added. Also, in the drawings, for convenience of explanation, components and the like may be exaggerated or reduced in size. For example, the size and thickness of each configuration shown in the drawings are arbitrarily shown for convenience of explanation, and the present invention is not necessarily limited to the places shown in the drawings.

[0035] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. When explaining with reference to the drawings, the same or corresponding components are denoted by the same reference numerals, and redundant explanations thereof are omitted.

[0036] FIG. 1 is a conceptual diagram of a fan index measurement and reward system according to an embodiment of the present invention.

[0037] As shown in FIG. 1, a fan index measurement and reward system 1000 according to an embodiment of the present invention can generate a fan index representing the characteristics of various fan activities performed by fan users, and provide customized rewards for the fan users based on the generated fan index, thereby realizing a fan index measurement and reward service.

[0038] In an embodiment, a fan index measurement and reward system 1000 for realizing the above-described fan index measurement and reward service may include a fan terminal 100, a fan platform service server 200, an external server 300, and a network 400.

[0039] At this time, the fan terminal 100, the fan platform service server 200, and the external server 300 can be connected via the network 400.

[0040] Here, the network 400 according to the embodiment means a connection structure that enables information exchange between each node such as the fan terminal 100, the fan platform service server 200, and / or the external server 300. Examples of such a network 400 include, but are not limited to, 3GPP (registered trademark) (3rd Generation Partnership Project) network, LTE (Long Term Evolution) network, WIMAX (World Interoperability for Microwave Access) network, Internet, LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), Bluetooth (registered trademark) network, satellite broadcast network, analog broadcast network, DMB (Digital Multimedia Broadcasting) network, etc.

[0041] Hereinafter, the fan terminal 100, the fan platform service server 200, and the external server 300 that implement the fan random index measurement and reward system 1000 will be described in detail with reference to the accompanying drawings.

[0042] · Fan Terminal

[0043] The fan terminal 100 according to the embodiment of the present invention may be a predetermined computing device provided with a fan platform application (hereinafter, referred to as an application) that provides a fan random index measurement and reward service.

[0044] Specifically, from a hardware perspective, the fan terminal 100 can include a mobile - type computing device 100 - 1 provided with an application and / or a desktop - type computing device 100 - 2, etc.

[0045] Here, the mobile - type computing device 100 - 1 may be a mobile device such as a smartphone or a tablet PC provided with an application.

[0046] For example, the mobile - type computing device 100 - 1 may include a smart phone, a mobile phone, a digital broadcast device, a PDA (personal digital assistants), a PMP (portable multimedia player), a tablet PC (tablet PC), etc.

[0047] Also, the desktop - type computing device 100 - 2 can include a device provided with a program for executing a fan - dom index measurement and a reward service based on wired or wireless communication, such as a fixed - type desktop PC, a laptop computer, an ultrabook, or other personal computers provided with an application.

[0048] Also, according to an embodiment, the fan terminal 100 can further include a predetermined server computing device that provides a fan - dom index measurement and a reward service environment.

[0049] FIG. 2 is an internal block diagram of the fan terminal 100 according to an embodiment of the present invention.

[0050] On the one hand, as shown in FIG. 2, from a functional perspective, the fan terminal 100 can include a memory 110, a processor assembly 120, a communication module 130, an interface module 140, an input system 150, a sensor system 160, and a display system 170. Such components and the like can be configured to be included within the housing of the fan terminal 100.

[0051] Specifically, an application 111 is stored in the memory 110, and the application 111 can store any one or more of various application programs, data, and instruction words for providing a fan random index measurement and reward service environment.

[0052] That is, the memory 110 can store instructions, data, etc. that can be used to generate a fan random index measurement and reward service environment.

[0053] Also, the memory 110 can include a program area and a data area.

[0054] Here, the program area according to the embodiment can be associated between an operating system OS (Operating System) for booting the fan terminal 100 and functional elements, and the data area can store data generated by the use of the fan terminal 100.

[0055] Also, the memory 110 can include at least one or more non - transient computer - readable storage media and a transient computer - readable storage media.

[0056] For example, the memory 110 can be various storage devices such as ROM, EPROM, flash drives, hard drives, etc., and can include web storage that performs the storage function of the memory 110 on the internet.

[0057] The processor assembly 120 can include at least one or more processors capable of executing the instructions of the application 111 stored in the memory 110 to perform various operations for generating a random index measurement and a reward service environment.

[0058] In an embodiment, the processor assembly 120 can control the overall operation of components via the application 111 in the memory 110 to provide a random index measurement and a reward service.

[0059] Such a processor assembly 120 may be a system-on-chip (SOC) suitable for a fan terminal 100 including a central processing unit (CPU) and / or a graphics processing unit (GPU), etc., capable of executing an operating system (OS) and / or application programs stored in the memory 110, and capable of controlling each component mounted on the fan terminal 100.

[0060] Also, the processor assembly 120 can communicate internally with each component via a system bus, and can include one or more predetermined bus structures including a local bus.

[0061] Further, the processor assembly 120 can be implemented by including at least one of ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), controllers, micro-controllers, microprocessors, and other electrical units for performing functions.

[0062] The communication module 130 can include one or more devices for communicating with external devices. Such a communication module 130 can communicate via a wireless network.

[0063] Specifically, the communication module 130 can communicate with the fan terminal 100 that stores content sources for realizing the random index measurement and reward service environment, and can communicate with various user input components such as a controller that receives user input.

[0064] In an embodiment, the communication module 130 can transmit and receive various data related to the random index measurement and reward service to and from other fan terminals 100 and / or external servers, etc.

[0065] Such a communication module 130 can wirelessly transmit and receive data with at least one of a base station, an external fan terminal 100, and an arbitrary server on a mobile communication network constructed via a communication device that can perform technical standards or communication methods for mobile communication (e.g., LTE (Long Term Evolution), LTE-A (Long Term Evolution-Advanced), 5G NR (New Radio), WiFi (registered trademark)), or a short-range communication method.

[0066] The sensor system 160 can include various sensors such as an image sensor 161, a position sensor (IMU) 163, an audio sensor 165, a distance sensor, a proximity sensor, and a contact sensor.

[0067] Here, the image sensor 161 can capture an image and / or a picture of the physical space around the fan terminal 100.

[0068] In an embodiment, the image sensor 161 can capture and obtain various images and / or pictures related to the random index measurement and reward service.

[0069] In addition, the image sensor 161 is disposed on the front surface and / or the rear surface of the fan terminal 100, can capture an image by shooting the arranged direction side, and can shoot the physical space through a camera arranged facing the outside of the fan terminal 100.

[0070] Such an image sensor 161 can include an image sensor device and an image processing module. Specifically, the image sensor 161 can process a still image or a moving image obtained by an image sensor device (for example, CMOS or CCD).

[0071] In addition, the image sensor 161 can use the image processing module to process a still image or a moving image obtained through the image sensor device to extract necessary information, and transmit the extracted information to the processor.

[0072] Such an image sensor 161 can be a camera assembly including at least one or more cameras. The camera assembly can include a general camera that shoots in the visible light band, and can further include special cameras such as an infrared camera and a stereo camera.

[0073] In addition, the above-described image sensor 161 can be included in the fan terminal 100 and operate according to an embodiment, or can be included in an external device (for example, an external server or the like) and operate through interlocking based on the above-described communication module 130 and / or interface module 140.

[0074] The position sensor (IMU) 163 can sense at least one or more of the movement and acceleration of the fan terminal 100. For example, it can be composed of a combination of various position sensors such as an accelerometer, a gyroscope, and a magnetometer.

[0075] In addition, the position sensor (IMU) 163 can recognize spatial information about the physical space around the fan terminal 100 in conjunction with the position communication processor 130 such as the GPS of the communication module 130.

[0076] The audio sensor 165 can recognize sounds around the fan terminal 100.

[0077] Specifically, the audio sensor 165 can include a microphone that can sense the voice input of the user using the fan terminal 100.

[0078] In an embodiment, the audio sensor 165 can receive voice data necessary for fan random index measurement and reward services from the user.

[0079] The interface module 140 can communicably connect the fan terminal 100 to one or more other devices. Specifically, the interface module 140 can include wired and / or wireless communication devices that are compatible with one or more different communication protocols.

[0080] Through such an interface module 140, the fan terminal 100 can be connected to various input and output devices.

[0081] For example, the interface module 140 can be connected to an audio output device such as a headset port or a speaker to output audio.

[0082] Exemplarily, although it has been described that the audio output device is connected via the interface module 140, embodiments provided inside the fan terminal 100 can also be included.

[0083] Also, for example, the interface module 140 can be connected to an input device such as a keyboard and / or a mouse to obtain user input.

[0084] Such an interface module 140 can be configured to include at least one of a wired / wireless headset port, an external charger port, a wired / wireless data port, a memory card port, a port for connecting a device equipped with an identification module, an audio I / O (Input / Output) port, a video I / O (Input / Output) port, a headphone port, a power amplifier, an RF circuit, a transceiver, and other communication circuits.

[0085] The input system 150 can sense user input (such as gestures, voice commands, button activations, or other types of input) related to the random index measurement and reward service.

[0086] Specifically, the input system 150 can include a predetermined button, a touch sensor, and / or an image sensor 161 that receives user motion input.

[0087] Also, the input system 150 can be connected to an external controller via the interface module 140 to receive user input.

[0088] The display system 170 can output various information related to the random index measurement and reward service as graphic images.

[0089] As an embodiment, the display system 170 can display various data based on fan activities, random index information, ranking information, reward-related information, business insights, and / or various user interfaces.

[0090] Such a display can include at least one of a liquid crystal display (LCD), a thin film transistor - liquid crystal display (TFT LCD), an organic light - emitting diode (OLED), a flexible display, a 3D display, and an e - ink display.

[0091] Within the housing of such a fan terminal 100, the above - mentioned components and the like can be arranged, and the user interface can include a touch sensor 173 on a display 171 configured to receive user touch inputs.

[0092] Specifically, the display system 170 can include a display 171 that outputs images and a touch sensor 173 that senses user touch inputs.

[0093] Exemplarily, the display 171 can be realized as a touch screen by forming an interlayer structure with the touch sensor 173 or being integrally formed. Such a touch screen functions as a user input unit that provides an input interface between the fan terminal 100 and the user, and can also provide an output interface between the fan terminal 100 and the user.

[0094] On the other hand, according to an embodiment, the fan terminal 100 can further perform at least a part of the functional operations performed by the fan platform service server 200 and / or an external server described below.

[0095] · Fan platform service server 200

[0096] On the one hand, the fan platform service server 200 according to an embodiment of the present invention can perform a series of processes for providing a fan random index measurement and reward service.

[0097] Specifically, in the embodiment, the fan platform service server 200 can provide the fan random index measurement and reward service by exchanging data necessary for driving the fan random index measurement and reward process with an external device such as the fan terminal 100.

[0098] More specifically, in the embodiment, the fan platform service server 200 can provide an environment in which the application 111 can operate on an external device (in the embodiment, a mobile type computing device 100-1 and / or a desktop type computing device 100-2, etc.).

[0099] For this purpose, the fan platform service server 200 can include an application program, data, and / or instruction words for the operation of the application 111, and can transmit and receive various data based on this to the external device.

[0100] Also, in the embodiment, the fan platform service server 200 can collect fan activity data based on the fan platform service.

[0101] Here, the fan platform service can be meant to be an online platform service that supports various fan activities including various on / offline publicity activities, purchase activities, and / or participation activities through the connection between the fan and the artist (and / or artist group).

[0102] In addition, the fan activity data can mean information that identifies the attributes of fan activities performed for a predetermined artist (and / or artist group) for each fan user. A detailed description of this will be provided in the fandom index measurement and reward method described later.

[0103] In addition, in the embodiment, the fan platform service server 200 can collect fan activity data based on a predetermined external service in conjunction with the external server 300.

[0104] For example, the external service may be an SNS platform providing service, a streaming platform providing service, and / or a video platform providing service, etc.

[0105] In addition, in the embodiment, the fan platform service server 200 can determine a fandom index based on the fan activity data collected as described above.

[0106] Here, the fandom index can mean information that collects, matches, stores, and manages the fan activity data based on the internal service (in the embodiment, the fan platform service) and the fan activity data based on the external service for each fan user.

[0107] In addition, in the embodiment, the fan platform service server 200 can provide ranking information among a plurality of fan users for a predetermined artist (and / or artist group) based on the determined fandom index.

[0108] In addition, in the embodiment, the fan platform service server 200 can provide a reward for a predetermined fan user based on the ranking based on the fandom index.

[0109] In addition, in the embodiment, the fan platform service server 200 can update the value - price for a predetermined NFT based on the fan index.

[0110] In addition, in the embodiment, the fan platform service server 200 can provide business insights based on the fan index.

[0111] Here, the business insights can mean information that processes various data based on a plurality of fan indices determined as described above in a predetermined manner and provides it as various statistical data.

[0112] In addition, in the embodiment, the fan platform service server 200 can store and manage various application programs, instruction words, and / or data for realizing fan index measurement and reward services.

[0113] As an embodiment, the fan platform service server 200 can store and manage at least one or more fan activity data, fan indices, ranking information, reward - related information, NFT - related data, business insights, and / or user interfaces.

[0114] However, the functional operations that the fan platform service server 200 can perform in the embodiments of the present invention are not limited to what has been described above, and it can further perform other functional operations.

[0115] On the one hand, as further shown in FIG. 1, in an embodiment, the fan platform service server 200 as described above can be implemented by a predetermined computing device including at least one or more processor modules 210 (Processor Module) for data processing, at least one or more communication modules 220 (Communication Module) for data exchange with external devices, and at least one or more memory modules 230 (Memory Module) for storing various application programs, data, and / or instruction words for fan random index measurement and reward service provision.

[0116] Here, the memory module 230 can store any one or more of an operating system OS, various application programs, data, and instruction words for providing fan random index measurement and reward services.

[0117] Also, the memory module 230 can include a program area and a data area.

[0118] Here, the program area according to the embodiment can be associated with an operating system OS for booting the server and functional elements, and the data area can store data generated by the use of the server.

[0119] In an embodiment, such a memory module 230 may be various storage devices such as ROM, RAM, EPROM, flash drive, hard drive, etc., or may be a web storage that implements the storage function of the memory module 230 on the Internet (internet).

[0120] Also, the memory module 230 may be a removable recording medium on the server.

[0121] On the one hand, in order to implement the random index measurement and reward service, the processor module 210 can control the overall operations of each of the aforementioned units.

[0122] Such a processor module 210 may be a system-on-chip (SOC) suitable for a server including a central processing unit (CPU) and / or a graphics processing unit (GPU), etc., and can execute an operating system (OS) and / or application programs stored in a memory module, and can control each component installed in the server.

[0123] In addition, the processor module 210 can communicate internally with each component via a system bus, and can include one or more predetermined bus structures including a local bus.

[0124] In addition, the processor module 210 can be implemented using at least one of application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, micro-controllers, microprocessors, and other electrical units for function execution.

[0125] In the above description, it has been described that the fan platform service server 200 according to the embodiment of the present invention performs the functional operations as described above. However, depending on the embodiment, at least a part of the functional operations performed by the fan platform service server 200 can be performed by an external device (for example, the fan terminal 100, etc.), and at least a part of the functional operations performed by the external device can also be further performed by the fan platform service server 200. Thus, various embodiments are possible.

[0126] · External Server 300

[0127] On the other hand, the external server 300 according to the embodiment of the present invention can provide predetermined data that can be utilized in fan index measurement and reward services to the fan terminal 100 and / or the fan platform service server 200.

[0128] Specifically, in the embodiment, the external server 300 may be a server that realizes an external service (for example, an SNS platform providing service, a streaming platform providing service, and / or a video platform providing service, etc.) that can support fan activities (that is, various on / offline publicity activities, purchase activities, and / or participation activities, etc. through the relationship between the fan and the artist (and / or artist group) in the embodiment).

[0129] Exemplarily, such an external server 300 can include an SNS platform providing server, a streaming platform providing server, and / or a video platform providing server, etc.

[0130] As further shown in FIG. 1, in the embodiment, the external server 300 as described above can include at least one data transmission / reception unit 310, a processor unit 320, and a database 330.

[0131] First, the data transmission / reception unit 310 according to the embodiment can transmit and receive various data for assisting in the fan random index measurement and reward service in conjunction with an external device (e.g., the fan terminal 100 and / or the fan platform service server 200, etc.) via the network 400.

[0132] As an embodiment, the data transmission / reception unit 310 can exchange fan activity data based on an external service, etc. with the fan terminal 100 and / or the fan platform service server 200 via a network.

[0133] Also, the database 330 according to the embodiment can store and manage various data for assisting in the fan random index measurement and reward service.

[0134] As an embodiment, the database 330 can store and manage at least one or more of an operating system OS, various application programs, data, and instruction words for realizing a predetermined external service, and can store and manage fan activity data based on the external service.

[0135] Such a database 330 may be various storage devices such as a ROM, a RAM, an EPROM, a flash drive, a hard drive, etc., or may be a web storage that performs the storage function of the database on the Internet.

[0136] Also, the processor unit 320 according to the embodiment can control the overall operations of the foregoing components for realizing the fan random index measurement and reward service.

[0137] Such a processor unit 320 can be implemented using at least one of ASICs (application specific integrated circuits), DSPs (digital signal processors), DSPDs (digital signal processing devices), PLDs (programmable logic devices), FPGAs (field programmable gate arrays), controllers, micro - controllers, microprocessors, and other electrical units for function execution.

[0138] · Random Index Measurement and Reward Method

[0139] Hereinafter, with reference to FIGS. 3 to 8 attached, a method in which a random index measurement and reward system 1000 (hereinafter, random index system) according to an embodiment of the present invention determines a random index and provides a reward therefor will be described in detail.

[0140] FIG. 3 is a flowchart for explaining a random index measurement and reward method according to an embodiment of the present invention.

[0141] As shown in FIG. 3, in an embodiment of the present invention, the random index system can collect fan activity data based on a fan platform service. (S101)

[0142] FIG. 4 is an example of a diagram for explaining a fan platform service according to an embodiment of the present invention.

[0143] As shown in FIG. 4, here, the fan platform service according to the embodiment can mean an online platform service that supports various fan activities including various on / offline publicity activities, purchase activities, and / or participation activities, etc. through the connection between fans and artists (and / or artist groups (hereinafter referred to as groups)).

[0144] Exemplarily, the fandom index system can support fans to subscribe to a predetermined artist (and / or group), become followers, and conduct various fan activities (such as publicity activities, purchase activities, and / or participation activities, etc.) related to the artist (and / or group) through the fan platform service.

[0145] At this time, in the embodiment, the fandom index system can collect data (that is, fan activity data) that identifies the fan activities performed in order to reflect the performance (contribution degree) of various fan activities performed on the fan platform service as described above and provide a predetermined reward.

[0146] Specifically, the fan activity data according to the embodiment can mean information that identifies the attributes of fan activities performed for a predetermined artist (and / or group) for each fan user. Such fan activity data can be matched, stored, and managed for each corresponding fan user.

[0147] Specifically, in the embodiment, the fan activity data can identify the attributes of the fan activity based on the activity target, activity section, activity time point, activity type, activity reaction, and / or activity volume parameter information for the performed fan activity.

[0148] Specifically, the activity target information of the fan activity data may be information that identifies the artist (and / or group) that is the target of the fan activity.

[0149] In addition, the activity section information of the fan activity data may be information that identifies the field in which the fan activity is carried out, and may be, for example, a specific album, a specific tour, or a specific work.

[0150] In addition, the activity time information of the fan activity data may be information that identifies the time when the fan activity was carried out, and may be, for example, the fan activity execution date, time, period, and / or cycle.

[0151] In addition, the activity type information of the fan activity data may be information that identifies the specific execution history of the fan activity.

[0152] As an embodiment, the activity types may include 1) SNS activities (for example, article creation / viewing, content creation / viewing, advertisement banner click, and / or attendance check based on a predetermined platform), 2) product purchase activities (for example, online record / goods purchase and / or offline record / goods purchase post-certification (for example, QR code (registered trademark) certification)), 3) mission activities (for example, execution of a predetermined mission for fan derivation / inflow of a new artist (and / or group)), 4) survey activities (for example, participation in a questionnaire survey for satisfaction confirmation of MD, content, and / or concert), and / or 5) fan meeting activities (for example, on / offline fan meeting participation).

[0153] In addition, the activity response information of the fan activity data may be information that represents the reaction of other users (including artists and / or groups) to the fan activity, and may be, for example, the number of "likes", the number of "dislikes", the number of subscribers, and / or the number of reports by other users.

[0154] In addition, the activity volume information of the fan activity data may be information obtained by measuring and quantifying the degree to which the fan activity was carried out (i.e., the fan activity volume) and its contribution (performance).

[0155] That is, in the embodiment, the activity amount information may be information obtained by converting into numerical values the activity amounts for fan activities conducted for each fan user and / or for each predetermined artist (and / or group).

[0156] At this time, in the embodiment, the fan index system can assign preset activity points for each predetermined factor (as an embodiment, activity type, detailed items within the activity type, activity response, and / or activity time, etc.) in order to generate the activity amount information.

[0157] Here, the activity points according to the embodiment can be information in which points that are added or subtracted when the activity amount is calculated based on the conducted fan activities are preset for each of the fan activities.

[0158] Specifically, as an embodiment, the fan index system can 1) preset activity points for each activity type.

[0159] Specifically, the fan index system can assign preset activity points to each activity type including the first activity type (for example, SNS activity), the second activity type (for example, product purchase activity), the third activity type (for example, mission activity), the fourth activity type (for example, survey activity), and / or the fifth activity type (for example, fan meeting activity), etc.

[0160] For example, the fan index system can preset the activity points for each activity type as follows: the first activity type: +10 activity points, the second activity type: +20 activity points,..., the Nth activity type: +30 activity points.

[0161] Also, as an embodiment, the fan index system can 2) preset activity points for each detailed item within the activity type.

[0162] Specifically, in an embodiment, the fan index system can assign preset activity points for each detailed item within each activity type, including detailed items within the first activity type (e.g., SNS activities), such as article creation / viewing based on a predetermined platform, content creation / viewing, advertisement banner click, and / or attendance check, etc.; detailed items within the second activity type (e.g., product purchase activities), such as online goods purchase and / or post-purchase authentication of offline goods purchase (e.g., QR code authentication), etc.; detailed items within the third activity type (e.g., mission activities), such as execution of a predetermined mission for fan derivation / inflow of a new artist (and / or group), etc.; detailed items within the fourth activity type (e.g., survey activities), such as participation in a questionnaire survey for satisfaction confirmation of MD, content, and / or concert, etc.; and / or detailed items within the fifth activity type (e.g., fan meeting activities), such as on / offline fan meeting participation, etc.

[0163] At this time, in an embodiment, the fan index system can classify the detailed items, etc. into one of the categories of basic actions or deepening actions, and preset the activity points according to the classified categories.

[0164] Here, the basic actions according to the embodiment can include fan activities that do not require another creation cost (e.g., subscription and / or like, etc.), and the deepening actions can include fan activities that require another creation cost (e.g., content (video, feed, and / or text, etc.) upload, etc.).

[0165] Specifically, in an embodiment, the fan index system can preset a predetermined activity point by matching each of at least one detailed item classified into the basic action.

[0166] For example, when a fan user performs a subscription activity, +1 activity point can be awarded for each detailed item within the basic action such that +1 activity point is calculated when a like activity is performed.

[0167] Also, in an embodiment, the fan index system can preset a predetermined activity point for each of at least one detailed item classified into the deepening action.

[0168] At this time, in an embodiment, the fan index system can set the activity point for the content upload based on the amount of content uploaded as the deepening action.

[0169] Specifically, as an embodiment, when a fan user uploads a predetermined content, the fan index system can analyze the data volume and / or resolution of the uploaded content, etc., and calculate the content amount for the content.

[0170] Also, the fan index system can set the activity point given by the content upload in proportion to the calculated content amount.

[0171] Also, as an embodiment, the fan index system can preset activity points according to 3) different activity responses.

[0172] Specifically, in an embodiment, the fan index system can preset a predetermined activity point for each activity response including the first activity response (e.g., like), the second activity response (e.g., dislike), the third activity response (e.g., subscription), and / or the fourth activity response (e.g., report), etc.

[0173] For example, in a random index system, activity points for each activity reaction can be preset, such as a first activity reaction: +1 activity point, a second activity reaction: -1 activity point, a third activity reaction: +2 activity points, and / or a fourth activity reaction: -10 activity points.

[0174] In this way, the random index system can calculate a more reasonable activity amount by measuring the activity level of fan users according to the subdivided criteria, taking into account in detail the contribution (value) of the fan activities performed and the required effort, etc., and can provide customized rewards based on the characteristics of the fan activity history performed in the future.

[0175] Also, as an embodiment, in the random index system, 4) activity points can be preset according to the activity time point.

[0176] Specifically, in the embodiment, the random index system can preset activity points according to the activity time point such that the activity points given increase as the period approaches a predefined period or the most recent time point.

[0177] For example, the random index system can be preset such that the activity points for fan activities performed at the first time point are +10, and the activity points for fan activities performed at the second time point after the first time point are +20.

[0178] Subsequently, the random index system that has assigned preset activity points according to the above-mentioned predetermined factors (such as activity type, detailed items within the activity type, activity reaction, and / or activity time point, etc. as embodiments) can sum up the activity points corresponding to the fan activity data collected in the future to generate the activity amount information.

[0179] That is, in the embodiment, the fan index system can generate the activity amount information by adding up the activity points corresponding to the collected fan activity data and quantifying the fan activity amount based on the fan activity data.

[0180] At this time, in the embodiment, the fan index system can classify by each parameter (that is, the activity target, activity section, activity time, activity type, activity reaction, and / or activity amount, etc. in the embodiment) in the collected fan activity data, calculate the activity amount information for each parameter (hereinafter, sub-activity amount information), and add up the calculated sub-activity amount information for each to generate the activity amount information based on the fan activity data.

[0181] Also, in the embodiment, the fan index system can calculate the activity amount information by classifying it by a predetermined period.

[0182] Specifically, in the embodiment, the fan index system can calculate the activity amount information by a predetermined period such as daily, weekly, monthly, annually, and / or by a specified period according to user settings (for example, a specific event period, etc.).

[0183] More specifically, the fan index system can classify and accumulate the activity amount due to the fan activities performed by the fan user according to at least one criterion among the predetermined periods.

[0184] And the fan index system can determine the activity amount information for the fan activities performed during each period based on the activity amount accumulated for each period.

[0185] As a result, the fan index system can assist in easily confirming the activity status and performance of the fan user according to the desired period.

[0186] In addition, in the embodiment, the fan index system can collect fan activity data based on external services. (S103)

[0187] That is, in the embodiment, the fan index system can collect fan activity data for fan activities performed on external services (for example, SNS platform providing services, streaming platform providing services, and / or video platform providing services, etc.) in order to reflect the performance (contribution degree) of various fan activities and provide a predetermined reward.

[0188] Hereinafter, descriptions overlapping with the above-described content can be summarized or omitted.

[0189] Specifically, in the embodiment, the fan index system can collect the external fan activity data based on an external activity input interface capable of registering fan activity data based on external services (hereinafter, external fan activity data).

[0190] More specifically, in the embodiment, the fan index system can provide the external activity input interface to the fan user based on the fan terminal 100.

[0191] In addition, in the embodiment, the fan index system can obtain the external fan activity data based on the input of the fan user to the provided external activity input interface.

[0192] As an embodiment, the fan index system can obtain external service platform information (e.g., external service platform name and / or site address, etc.), activity authentication information (e.g., activity page link and / or screenshot, etc.), activity target, activity section, activity time point, and / or activity type information, etc. through fan user input based on the external activity input interface, and can collect the fan activity external data based on the obtained input.

[0193] Alternatively, as an embodiment, the fan index system can connect to the corresponding external service platform based on the external service platform information and / or activity authentication information, and can crawl and collect relevant fan activity external data on the connected external service platform. In the embodiments of the present invention, the algorithm itself for performing the crawling is not limited or restricted, and various known algorithms can be utilized to perform the above-mentioned crawling operation.

[0194] In other embodiments, the fan index system 2) cooperates with a predetermined external server 300 to progress an information provision consent process, and can automatically receive and collect fan activity external data based on the external services realized by the external server 300 from the external server 300 without separate registration by the fan user.

[0195] Specifically, in an embodiment, the fan index system can obtain fan user input for setting whether to consent to automatically provide fan activity external data based on the predetermined external service to the fan platform service server 200.

[0196] In addition, when fan user input agreeing to automatically provide the external fan activity data to the fan platform service server 200 is obtained, the fan index system can automatically receive and collect, from the external server 300, the external fan activity data resulting from the fan activities performed by the fan user on the external service when the fan activities of the fan user are performed on the external service.

[0197] In the above, for the sake of effective explanation, the embodiments have been described by being classified as above. However, various embodiments are possible, such as at least some of the above embodiments being able to operate in an organically combined manner with each other.

[0198] In this way, the fan index system can collect not only the internal fan activity data obtained based on the above-described fan platform service, but also the fan activity data (in the embodiment, the external fan activity data) resulting from the fan activities performed on various external services (for example, SNS platform providing services, streaming platform providing services, and / or video platform providing services, etc.). By collecting all the activities such as various promotions, purchases, and / or participations made by the fan user for a predetermined artist (and / or group) over a wider area, it is possible to grasp the substantial activity history information of the fan user more accurately and completely.

[0199] Also, in the embodiment, the fan index system can determine a fan index based on the collected fan activity data. (S105)

[0200] FIG. 5 is an example of a diagram for explaining a fan index according to an embodiment of the present invention.

[0201] Specifically, as shown in FIG. 5, in the embodiment, the fandom index system can determine a fandom index for each fan user based on the fan activity data and the external fan activity data (hereinafter referred to as integrated fan activity data) collected as described above.

[0202] That is, here, the fandom index according to the embodiment can mean information that collects, matches, stores, and manages the fan activity data based on the internal service (in the embodiment, the fan platform service) and the external fan activity data based on the external service for each fan user.

[0203] At this time, according to the embodiment, the fandom index can also be stored and managed by being matched with the artist (and / or group) that is the activity target within the corresponding integrated fan activity data.

[0204] More specifically, in the embodiment, the fandom index system can determine a first fandom index, which is the fandom index for the first fan user, based on first inclusive activity target information including the internal and external activity targets of the first fan user, first inclusive activity section information including the internal and external activity sections of the first fan user, first inclusive activity time point information including the internal and external activity time points of the first fan user, first inclusive activity type information including the internal and external activity types of the first fan user, first inclusive activity reaction information including the internal and external activity reactions of the first fan user, first inclusive activity amount information including the internal and external activity amounts of the first fan user, and the like.

[0205] Exemplarily, the fan index system can determine the first fan index of the first fan user by including first comprehensive activity target information such as "Internal service activity target: the first artist, External service activity target: the first group to which the first artist belongs", first comprehensive activity section information such as "Internal service activity section: the first album, External service activity section: the first album", and first comprehensive activity time information such as "Internal service activity time: the first period, External service activity time: the first period".

[0206] That is, in the embodiment, the fan index system can collect fan activity data from all fan activities performed on internal and external services for each fan user and determine the fan index for each fan user.

[0207] In this way, the fan index system can easily classify, organize, and manage various fan activity histories and achievements across a wide range of activity areas including fan platform services and predetermined external services for each fan user. In the future, through this, the fan activity characteristics of the fan user can be derived, and rewards adapted to them can be provided.

[0208] Furthermore, the fan index system can classify, organize, and manage various fan activity histories and achievements as described above for each predetermined activity target (i.e., artist and / or group in the embodiment), and thereby, a large number of fan activities related to the corresponding activity target can be analyzed collectively and utilized in various ways (e.g., providing statistical values, etc.).

[0209] Also, in the embodiment, the fan index system can provide ranking information based on the determined fan index. (S107)

[0210] FIG. 6 is an example of a state of providing ranking information according to an embodiment of the present invention.

[0211] That is, as shown in FIG. 6, in the embodiment, the random index system can provide ranking information among a plurality of fan users with respect to a predetermined activity target (i.e., a predetermined artist (and / or group)) based on the determined random index.

[0212] Specifically, in the embodiment, the random index system can provide ranking information representing the order (rank) among the plurality of fan users with respect to a predetermined activity target based on the activity amount information (including activity amount information) in the random index determined for each of the plurality of fan users.

[0213] More specifically, in the embodiment, the random index system can arrange the plurality of fan users in sequence and provide the ranking information based on the activity amount information representing the fan activities of each of the plurality of fan users with respect to a predetermined activity target numerically.

[0214] For example, when the activity amount of the first fan user is 300 points, the activity amount of the second fan user is 400 points, and the activity amount of the third fan user is 500 points, the random index system can provide ranking information arranging the first to third fan users in descending order.

[0215] At this time, in the embodiment, the random index system can also use the activity amount information for each of the plurality of fan users calculated for a predetermined period such as daily, weekly, monthly, annually, and / or for a specified period (e.g., a specific event period, etc.) according to user settings to provide ranking information for a predetermined period.

[0216] That is, the random index system can provide daily ranking information, weekly ranking information, annual ranking information, and / or ranking information for a specified period, etc., based on the activity amount information in the random index for each of the plurality of fan users.

[0217] In addition, in the embodiment, the fan index system can be updated and provided based on the activity amount information of each of a plurality of fan users in which the ranking information as described above is updated at a predetermined cycle (for example, daily, weekly, monthly, annually, and / or a specified period, etc.).

[0218] Therefore, by checking the provided ranking information, the fan index system can give predetermined stimuli or motivations, such as making fan users strive harder in their fan activities, and can provide and present a reasonable basis for rewards based on future fan activities.

[0219] In addition, in the embodiment, the fan index system can provide rewards according to the ranking based on the determined fan index. (S109)

[0220] Specifically, in the embodiment, the fan index system can provide rewards for at least some of the plurality of fan users according to the ranking determined based on the activity amount information in the fan index of each of the plurality of fan users.

[0221] More specifically, in the embodiment, the fan index system can 1) provide a basic reward according to the ranking.

[0222] Specifically, in the embodiment, the fan index system can detect at least one fan user who meets a predetermined criterion (for example, the top 10% in the ranking or the top 10 names, etc.).

[0223] In addition, the fan index system can provide a predetermined basic reward in conjunction with the fan terminal 100 of the detected fan user.

[0224] Exemplarily, the fan random index system can provide rewards based on a leveling system as the basic reward (e.g., level up, increase in level ranking, and / or provision of emblems, etc.), priority for participating in on / offline events (e.g., fan meetings and / or concerts, etc.), and / or virtual currency available on the fan platform service, etc.

[0225] In this way, the fan random index system can enhance more active fan activities by providing predetermined rewards to fan users with relatively high fan activity levels, thereby increasing economic benefits and reducing the publicity costs for artists (and / or groups), etc., and can lead to various advantages due to the promotion of fan activities.

[0226] On the other hand, in an embodiment, the fan random index system can provide 2) NFT (Non-Fungible Token) rewards according to the ranking.

[0227] Here, the NFT reward according to the embodiment can be meant as a reward provided based on an NFT in the form of a unique digital file registered on the blockchain.

[0228] For reference, the NFT means a virtual token for proving the owner of a digital asset using blockchain technology. Specifically, it can be a kind of virtual genuine certificate used for representing its unique originality and ownership by putting the address pointing to a digital file such as a predetermined image or picture into the token. Such an NFT can have the advantage that its economic value can gradually increase as time goes by.

[0229] FIG. 7 is a flowchart for explaining a method of providing an NFT (Non-Fungible Token) reward according to an embodiment of the present invention.

[0230] Specifically, as shown in FIG. 7, in the embodiment, the fan random index system can provide information on the holding of an event that offers NFT rewards (hereinafter referred to as an NFT event). (S201)

[0231] That is, in the embodiment, the fan random index system measures the activity amount information for each of a plurality of fan users within a predetermined specified period (here, a specific event period), and based on the measured activity amount information, can provide information on the holding of an NFT event that offers NFT rewards to at least some of the plurality of fan users.

[0232] Here, the information on the holding of the NFT event according to the embodiment can include target artist (and / or group) information, event period information, and / or activity amount calculation criterion information, etc.

[0233] At this time, the activity amount calculation criterion information according to the embodiment can include preset activity point information for each of the above-described predetermined factors (as an embodiment, activity types, detailed items within the activity types, and / or activity responses, etc.) and / or the availability of linking to the accumulated activity amount information before the event period. A detailed explanation of the availability of linking to the accumulated activity amount information will be described later.

[0234] In the embodiment, the fan random index system can provide the above-described information on the holding of the NFT event to a plurality of fan users using the fan terminals 100 for each of the plurality of fan users.

[0235] Also, in the embodiment, the fan random index system can determine a temporary fan random index for each fan user based on the event period. (S203)

[0236] Here, the temporary fan random index according to the embodiment can mean a fan random index for each fan user determined based on the integrated fan activity data collected during a predetermined specified period (here, the event period).

[0237] Specifically, in an embodiment, the fan random index system can collect fan activity data (i.e., fan activity integration data in the embodiment) from all fan activities performed on internal and external services for each fan user during the predetermined specified period (here, the event period), and determine a temporary fan random index for each fan user.

[0238] At this time, in an embodiment, the fan random index system can first set an initial activity value based on whether the existing activity amount information can be related in order to calculate the inclusive activity amount information (hereinafter, temporary inclusive activity amount information) in the temporary fan random index.

[0239] Here, the possibility of relating the existing activity amount information according to the embodiment may be information for determining whether to reflect the cumulative existing activity amount for the corresponding fan user before the specified period (here, the event period) when calculating the temporary inclusive activity amount information.

[0240] That is, in an embodiment, the fan random index system can set the initial activity value in different ways according to the possibility of relating the existing activity amount information.

[0241] This may be because if the fan activity amount accumulated before the corresponding event period is completely excluded, a situation may occur where an appropriate reward cannot be provided to fan users who have continuously performed fan activities. Therefore, it may include a functional device to prevent such a situation.

[0242] Specifically, in an embodiment, when the fan random index system is an event related to the existing activity amount information, it can set the initial activity value by reflecting the activity amount accumulated before the specified period (here, the event period) according to a predetermined application condition.

[0243] As an embodiment, the random index system can set the initial activity value by switching at least a part of the accumulated existing activity amount to the initial activity value according to user settings.

[0244] For example, when there is an existing activity amount of 10,000 points in the random index system, at least a part (for example, 5,000 points, etc.) of the 10,000 points can be switched to the initial activity value according to user settings. That is, in this example, the random index system can switch only the points subtracted from the existing activity amount to the initial activity value.

[0245] At this time, in the embodiment, the random index system can also be restricted so that the point switching is performed within a preset maximum switching value (for example, 1,000 points, etc.).

[0246] Alternatively, as an embodiment, the random index system can set the initial activity value based on the existing activity amount according to the initial activity value preset for each predetermined activity amount interval.

[0247] Specifically, in the embodiment, the random index system can preset the initial activity value matched for each predetermined activity amount interval.

[0248] For example, the random index system can preset the initial activity value matched to the first activity amount interval (for example, 0 - 100 point interval) to 50 points, the initial activity value matched to the second activity amount interval (for example, 101 - 500 point interval) to 300 points,..., and the initial activity value matched to the Nth activity amount interval to 1,000 points.

[0249] Also, in the embodiment, the random index system can detect the activity amount interval to which the existing activity amount belongs among the predetermined activity amount intervals.

[0250] In addition, in the embodiment, the random index system can set the initial activity value matched to the detected activity amount section as the initial activity value calculated by reflecting the existing activity amount.

[0251] In the above, for effective explanation, the embodiments have been described by being classified as above. However, among the above-described embodiments and the like, various embodiments and the like are possible, such as at least a part of them being able to operate by being organically combined with each other.

[0252] In this way, since the random index system can set the initial activity value by reflecting the fan activity amount accumulated before the corresponding event period according to a predetermined application condition, it can give a high value to fan users who have continuously carried out fan activities even before the event period, and can provide an appropriate reward for that in the future.

[0253] On the other hand, in the embodiment, when the random index system is an event not related to the existing activity amount information, the initial activity value can be set to "0" regardless of the activity amount accumulated before the specified period (here, the event period).

[0254] In addition, the random index system in which the initial activity value is set as described above in the embodiment can determine a temporary random index for each fan user based on the integrated fan activity data collected during the specified period (here, the event period).

[0255] At this time, in the embodiment, when calculating the temporary comprehensive activity amount information in the temporary random index, the random index system can calculate the temporary comprehensive activity amount information by adding up all of the initial activity value set as described above and the activity points based on the activity amount information collected during the specified period (here, the event period).

[0256] Exemplarily, when the initial activity value of the random index system is "1,000 points" and the activity point value based on the activity amount information collected during the specified period (here, the event period) is "30,000 points", "31,000 points" obtained by adding up the activity points can be calculated as the temporary comprehensive activity amount information.

[0257] At this time, according to the embodiment, the random index system can also calculate the temporary comprehensive activity amount information in such a way that a larger weighting value is assigned to the fan activities performed more recently within the specified period (here, the event period).

[0258] Specifically, in the embodiment, the random index system can set a weighting value that increases proportionally as it approaches the most recent time point within the specified period (here, the event period).

[0259] In addition, the random index system can perform a predetermined calculation (for example, multiplication calculation, etc.) by applying the set weighting value to each of the fan activities performed within the specified period (here, the event period).

[0260] As a result, the random index system can calculate the temporary comprehensive activity amount information in such a way that a larger point (score) is assigned to the fan activities performed more recently.

[0261] Therefore, the random index system can lead to active and lively fan activities even at the end of the event period.

[0262] In addition, in the embodiment, the random index system can provide ranking information based on the determined temporary random index. (S205)

[0263] Specifically, in the embodiment, the fan random index system can provide ranking information representing the order (rank) among the plurality of fan users based on the activity amount information in the temporary fan random index determined for each of the plurality of fan users with respect to a predetermined activity target (i.e., a predetermined artist (and / or group)) for the specified period (here, the event period).

[0264] At this time, in the embodiment, the fan random index system can update and provide the ranking information at a predetermined cycle (for example, daily, weekly, monthly, annually, and / or specified period, etc.).

[0265] And, in the embodiment, the fan random index system can provide the ranking information provided on the expiration date of the specified period (here, the event period) as the final ranking information.

[0266] Therefore, the fan random index system can confirm the provided ranking information and give predetermined stimuli and motivations such as making the fan users strive harder for their fan activities, and in the future, make the corresponding ranking information function as a reasonable basis for the NFT rewards provided thereby.

[0267] Also, in the embodiment, the fan random index system can provide NFT rewards based on the ranking according to the determined temporary fan random index. (S207)

[0268] In other words, the NFT reward according to the embodiment can mean a reward provided based on an NFT in a unique digital file form stored on the blockchain.

[0269] For example, the NFT reward may be an image or picture including the portrait of a predetermined artist (and / or group) stored on the blockchain and / or audio data including the voice of the artist (and / or group).

[0270] In an embodiment, such an NFT reward can be provided in either a free provision format for a predetermined NFT or a format of granting a purchase right for a predetermined NFT.

[0271] Specifically, in an embodiment, the fan index system can provide an NFT reward to at least some of the plurality of fan users based on a ranking determined by the temporary comprehensive activity amount information in the temporary fan index for each of the plurality of fan users.

[0272] More specifically, in an embodiment, the fan index system can detect at least one fan user who meets a predetermined criterion (for example, the top 10% in ranking or the top 10 in ranking, etc.) based on the ranking information.

[0273] Also, the fan index system can provide the NFT reward via the fan terminal 100 of the detected fan user.

[0274] Specifically, in an embodiment, the fan index system can provide an NFT reward by gratuitously distributing a predetermined NFT via the fan terminal 100 of the detected fan user.

[0275] Also, in an embodiment, the fan index system can provide an NFT reward by granting a purchase right that allows a predetermined NFT to be purchased at a predetermined price via the fan terminal 100 of the detected fan user.

[0276] In this way, the fan index system can screen fan users who have carried out relatively frequent fan activities during the corresponding event period, and by providing the selected fan users with a unique NFT reward in the form of a digital file that is the only one in the world, it can further enhance the interest and enthusiasm of fan users for event participation. In addition to basic rewards, it can encourage more active fan activities to obtain more valuable rewards.

[0277] FIG. 8 is an example of a diagram for explaining a method of providing a purchase-authorization NFT reward according to an embodiment of the present invention.

[0278] At this time, as shown in FIG. 8, in the embodiment, after the fan index system provides the purchase-authorization NFT reward to the fan terminal 100 of at least one fan user detected for the first time, if the NFT is not sold out after a predetermined period has elapsed, among the remaining fan users excluding the fan user detected for the first time, at least one fan user who meets a predetermined criterion (for example, the top 10% in ranking, the top 10, or the same number as the remaining number of purchase-authorization NFT rewards) can be detected for the second time.

[0279] And in the embodiment, the fan index system can further provide the purchase-authorization NFT reward via the fan terminal 100 of the fan user detected for the second time.

[0280] According to the embodiment, the fan index system can repeat the above-described process until all of the NFTs provided as the purchase-authorization NFT rewards are sold out, and can also repeat the above-described process for a preset number of times (for example, limited up to the third detection).

[0281] For example, the fan index system can detect for the first time a plurality of fan users belonging within the top 100 based on the ranking information.

[0282] Then, the fandom index system can provide each of the 100 fan users with a purchase - privilege - granted NFT reward that allows the purchase of an NFT containing a portrait image of the first artist at a predetermined price (e.g., 10,000 won per piece, etc.) via each of the 100 fan terminals of the 100 fan users detected at the first stage.

[0283] That is, the fandom index system can distribute and provide a total of 100 purchase - privilege - granted NFT rewards, one for each of the 100 fan users detected at the first stage.

[0284] After that, after a predetermined period has elapsed, the fandom index system can determine whether the provided 100 NFTs have been sold out.

[0285] And, if the NFT has not been sold out, the fandom index system can calculate the remaining number of the purchase - privilege - granted NFT rewards.

[0286] Also, based on the ranking information, the fandom index system can secondarily detect (e.g., 30, etc.) the number of fan users (e.g., 30, etc.) corresponding to the remaining number of the purchase - privilege - granted NFT rewards among the fan users other than the fan users detected at the first stage.

[0287] Then, the fandom index system can further provide each of the corresponding fan users with a purchase - privilege - granted NFT reward that allows the purchase of an NFT containing a portrait image of the first artist at a predetermined price (e.g., 10,000 won per piece, etc.) via each of the 100 fan terminals of the secondarily detected fan users.

[0288] Also, the fandom index system can repeat the above - described process until all of the NFTs are sold out, or can repeat the above - described process for a preset number of times (e.g., limited to the third detection, etc.).

[0289] In this way, when at least some of the NFTs provided to the top-ranked fan users in the form of purchase rights are not purchased, the fan index system can support more fan users to obtain the opportunity of NFT rewards by providing the remaining NFTs to the next-ranked fan users, and can also increase the sales rate of NFTs.

[0290] At this time, in an embodiment, the fan index system can provide customized NFT rewards for each fan user based on the attribute information of the NFT reward (hereinafter referred to as NFT attribute information) and the attribute information of the temporary fan index (hereinafter referred to as index attribute information).

[0291] Specifically, in an embodiment, the fan index system can obtain the attribute information for each NFT provided as a reward.

[0292] Here, the NFT attribute information according to the embodiment is information for specifying the attributes of the NFT, and may include, in the embodiment, production target, production section, production time, and / or production format information, etc.

[0293] Specifically, the production target information of the NFT attribute information may be information for specifying the artist (and / or group) targeted by the NFT.

[0294] Also, the production section information of the NFT attribute information may be information for specifying the activity field (history) of the artist (and / or group) related to the NFT, and may also be a specific album, a specific tour, or a specific work, etc.

[0295] Also, the production time information of the NFT attribute information may be information for specifying the time when the NFT is produced and / or used, and may also be, for example, production date, production time, distribution period, and / or distribution cycle, etc.

[0296] In addition, the production format information of the NFT attribute information may be information specifying the data file format of the NFT, and may be, for example, an image, a picture, and / or an audio, etc.

[0297] In an embodiment, the random index system analyzes each NFT to be provided as a reward, and can obtain the NFT attribute information as described above for each NFT. In the embodiment of the present invention, the algorithm itself for deriving the NFT attribute information by analyzing the NFT is not limited or restricted, and various known algorithms can be utilized to perform this functional operation.

[0298] In addition, in an embodiment, the random index system can obtain index attribute information for the temporary random index according to the values of each parameter of the temporary random index (that is, the activity target, activity section, activity time, activity type, activity reaction, and / or activity amount, etc. in the embodiment).

[0299] That is, in the embodiment, the index attribute information may be information including the temporary comprehensive activity target information, temporary comprehensive activity section information, temporary comprehensive activity time information, temporary comprehensive activity type information, temporary comprehensive activity reaction information, and / or temporary comprehensive activity amount information by the temporary random index.

[0300] For example, the random index system can obtain the first index attribute information of "the first temporary comprehensive activity target information: the first artist", "the first temporary comprehensive activity section information: the first album", "the first temporary comprehensive activity time information: the first period", "the first temporary comprehensive activity type information: product purchase activity", "the first temporary comprehensive activity reaction information: 100 likes", and "the first temporary comprehensive activity amount information: 10,000 points".

[0301] Also, in the embodiment, the random index system can mutually compare the attribute information for each NFT obtained as described above with the index attribute information.

[0302] Specifically, as an embodiment, the random index system can mutually compare the value of each parameter of the index attribute information (in the embodiment, the activity target, activity section, activity time, activity type, activity reaction, and / or activity amount, etc.) with the value of each corresponding parameter of the attribute information for each NFT (in the embodiment, the production target, production section, production time, and / or production format, etc.).

[0303] And the random index system can detect NFT attribute information having an attribute value corresponding to the index attribute information.

[0304] For example, when the random index system is "the first temporary comprehensive activity target information of the first index attribute information: the first artist", the random index system can detect NFT attribute information with the first artist as the production target.

[0305] As another example, when the random index system is "the first temporary comprehensive activity time information of the first index attribute information: the first period", the random index system can detect NFT attribute information with the first period as the production time.

[0306] Also, in the embodiment, the random index system can determine the NFT having the detected NFT attribute information as a made-to-order NFT provided to the fan user matched to the corresponding temporary random index.

[0307] And the random index system can provide the determined made-to-order NFT as an NFT reward for the corresponding fan user.

[0308] Exemplarily, through this, when a first fan user who matches a first temporary random index having first index attribute information mainly conducts fan activities related to the "first artist", an NFT reward associated with the "first artist" (for example, an NFT of the first artist's portrait image, etc.) can be provided to the first fan user.

[0309] As another example, through this, when a first fan user who matches a first temporary random index having first index attribute information mainly conducts fan activities related to the "product purchase activity", an NFT reward associated with the "product purchase activity" (for example, an image NFT including predetermined goods, etc.) can be provided to the first fan user.

[0310] In this way, the fan random index system analyzes the temporary random index for the fan user to whom the reward is to be provided, detects the optimal made-to-order NFT that reflects the target and activity method that the fan user is interested in based on the activity history during that period, and provides this as a reward, thereby screening and providing a reward that has relevance with the fan user and can act as a greater value, thereby improving the reward satisfaction of the fan user and inspiring the morale for future fan activities.

[0311] Also, in this way, the fan random index system can effectively guide the continuous participation of the fan user in fan activities by providing a made-to-order NFT reward based on the interest of the fan user through the analysis of the metadata of the content consumed by the fan user.

[0312] At this time, according to the embodiment, when there are a plurality of NFT attribute information having attribute values corresponding to the index attribute information (that is, when there are a plurality of the made-to-order NFTs), any one of the plurality of made-to-order NFTs can be determined as the made-to-order main NFT according to a preset index attribute information priority order (hereinafter referred to as attribute priority order).

[0313] That is, in the embodiment, the random index system, for example, there is first NFT attribute information (for example, production target: first artist) corresponding to the first parameter value of the first index attribute information (for example, temporary inclusion activity target: first artist), there is second NFT attribute information (for example, production section: first album) corresponding to the second parameter value of the first index attribute information (for example, temporary inclusion activity section: first album), there is third NFT attribute information (for example, production time: first period) corresponding to the third parameter value of the first index attribute information (for example, temporary inclusion activity time: first period), and there is fourth NFT attribute information (for example, production format: image) corresponding to the fourth parameter value of the first index attribute information (for example, temporary inclusion activity type: SNS activity). When there are a plurality of corresponding NFT attribute information detected based on the relevant index attribute information, the made-to-order main NFT can be determined based on the preset attribute priority order.

[0314] Specifically, in the embodiment, the random index system can set the attribute priority order.

[0315] More specifically, as an embodiment, the random index system can set the attribute priority order based on 1) a predefined default attribute priority order based on user settings and / or its own algorithm.

[0316] In an embodiment, the random index system can define in advance the priority for each parameter (in the embodiment, the activity target, activity section, activity time, activity type, activity response, and / or activity amount, etc.) that constitutes the index attribute information.

[0317] Exemplarily, the random index system can define in advance the priority for each parameter of the index attribute information, such as "1st priority: activity target, 2nd priority: activity section, 3rd priority: activity time, 4th priority: activity type,...".

[0318] Then, the random index system can set the attribute priority according to the predefined priority, that is, the default attribute priority.

[0319] As another embodiment, the random index system can set the attribute priority based on 2) the activity amount information for each parameter (that is, the sub-activity amount information in the embodiment) that constitutes the index attribute information.

[0320] Specifically, in the embodiment, as described above, the random index system can determine the priority for each parameter in descending order of the activity points (scores) based on the sub-activity amount information in which the activity amount is quantified and calculated for each parameter.

[0321] Alternatively, in the embodiment, the random index system can also determine the priority for each parameter in descending order of the ratio of the activity points (scores) based on the sub-activity amount information.

[0322] For example, in the case where the first sub-activity amount, which is the activity amount for the first parameter of the index attribute information in the random index system, is "+100 points", the second sub-activity amount, which is the activity amount for the second parameter, is "+200 points", and the third sub-activity amount, which is the activity amount for the third parameter, is "+300 points", the attribute priority order can be determined in the order of the third parameter > the second parameter > the first parameter.

[0323] Subsequently, in the embodiment, the random index system can determine, based on the attribute priority order set as described above, one of the plurality of made-to-order NFTs as the made-to-order main NFT to be finally provided to the fan user.

[0324] Specifically, in the embodiment, the random index system can detect the made-to-order NFT attribute information corresponding to the priority parameter according to the set attribute priority order among the plurality of made-to-order NFTs.

[0325] For example, if the priority parameter according to the set attribute priority order in the random index system is "activity target", the made-to-order NFT detected based on the activity target parameter among the plurality of made-to-order NFTs (for example, in the above-described example, the first temporary inclusive activity target information of the first index attribute information is "the first artist", and thus, the NFT attribute information with the corresponding attribute value having the first artist as the production target) can be detected.

[0326] Also, in the embodiment, the random index system can determine the NFT that matches the detected made-to-order NFT attribute information as the made-to-order main NFT.

[0327] And, in the embodiment, the random index system can provide the determined made-to-order main NFT as an NFT reward for the fan user.

[0328] On the one hand, in an embodiment, the random index system can be configured such that a user inputs their desired preferences, newly generates an NFT based on the input preferences, reflects the preferences only to the user who is the main need of the NFT, and provides an NFT containing the uniquely generated image as a reward. At this time, an image of the NFT can be generated based on the attribute information of the NFT reward (hereinafter referred to as NFT attribute information) and the attribute information of the temporary random index (hereinafter referred to as index attribute information), so as to provide a customized NFT reward for each fan user.

[0329] For this purpose, the random index system can include a generative artificial intelligence model that, when providing the NFT reward, enables the user to input their preferences and generates an image based on the input user preferences and the attribute information. Here, a typical example of the generative artificial intelligence model is the STABLE DIFFUSION MODEL, and the description of the image generation type artificial intelligence model is replaced by the paper of the STABLE DIFFUSION MODEL.

[0330] Such a generative artificial intelligence model may be a model in which additional learning of the artist's images is performed on top of existing generative artificial intelligence models such as stable diffusion, and a plurality of styles are additionally learned for each specific attribute of the NFT.

[0331] That is, in the generative artificial intelligence model, a plurality of images of the artist are additionally learned for each artist, and the artist image can be precisely generated based on the artist of the NFT.

[0332] In addition, the generative artificial intelligence model can be additionally learned for each style of the artist image for each NFT of the artist.

[0333] For example, the generative artificial intelligence model can be trained by specifying the first NFT issued at the time of the release of Album B for Artist A to Style K, and can be trained by specifying the second NFT issued by the B performance of Artist A to Style L.

[0334] That is, the generative artificial intelligence model can generate the artist of the digital item that is the basis for enhancement / synthesis and the artist image upgraded to match the style of the digital item.

[0335] More specifically, the user can newly generate an artist image that suits their taste as the main image of the NFT for the NFT reward.

[0336] For this purpose, when generating an artist image through the application, the user can input the desired taste, such as text, a sketch image, or / and a photo, etc., to guide the generation of the artist image according to the user's taste.

[0337] For example, the user can input their own photo into the application and input a request such as "Generate an image of the person in the photo and the artist performing Action A (e.g., shaking hands)".

[0338] Upon receiving such an input, the fandom index system can input the photo and text into the generative artificial intelligence model and generate an image that matches the user's request.

[0339] At this time, the fandom index system can maintain the attributes of the rewarded NFT by providing additional input to the generative artificial intelligence model to generate an image based on the attribute information for the NFT reward.

[0340] In addition, the random index system can maintain the style attributes of NFTs by providing additional input to generate artist images in a style related to the NFT attributes.

[0341] Through such a generative artificial intelligence model, users can generate their own unique NFTs, which are the main needs of NFT digital items, in the direction they desire. At this time, by maintaining the artist attributes and style attributes of the NFTs, it is possible to prevent the digital item issuance directions of artists and planning companies from being randomly changed by users for rewards.

[0342] In this way, the random index system can provide a more optimized customized reward for the fan users by selecting and providing as rewards NFTs related to the activity areas that the fan users are highly interested in according to more detailed criteria (in the embodiment, in the order of the areas where the fan users have a high activity volume, etc.). Through this, it is possible to more effectively lead to an increase in positive fan activities, such as further improving the desire to participate in fan activities and increasing the staying time on the fan platform service.

[0343] In the above embodiments, it has been explained that a customized NFT reward as described above can be provided based on the temporary random index. However, embodiments of providing the customized NFT reward based on the random index according to the embodiments of the present invention can also be included in the embodiments of the present invention, and various other embodiments may be possible within the scope that an ordinary technician can implement.

[0344] In addition, in an embodiment, the random index system can perform an NFT value - price update based on the determined random index. (S111)

[0345] That is, in the embodiment, the random index system can update the value-price for a predetermined NFT based on the determined plurality of random indexes (which can include temporary random indexes).

[0346] Specifically, in the embodiment, the random index system can perform an update to recalculate the value-price for each of the NFTs based on the activity amount information (including activity amount information) within the determined plurality of random indexes (which can include temporary random indexes).

[0347] More specifically, in the embodiment, the random index system can detect at least one NFT corresponding to each of the plurality of random indexes in the manner described above.

[0348] That is, in the embodiment, the random index system can detect at least one random index corresponding to each NFT.

[0349] Also, in the embodiment, the random index system can summarize and sum up the activity amount information of each of the at least one random index corresponding to each NFT.

[0350] As a result, the random index system can calculate an activity amount index for each NFT by integrating and quantifying the fan activity amount related to each NFT.

[0351] For example, the random index system can sum up the activity points based on the activity amount information of the first and second random indexes corresponding to the first NFT, and calculate the activity amount index for the first NFT.

[0352] In addition, in the embodiment, when the NFT activity volume index calculated as described above satisfies a predetermined criterion (for example, a preset numerical value, etc.), an update can be performed to increase the value-price of the NFT having the NFT activity volume index by a predetermined method (for example, a preset percentage (%)).

[0353] Conversely, in the embodiment, when the calculated NFT activity volume index satisfies less than a predetermined criterion (for example, a preset numerical value, etc.), an update can be performed to decrease the value-price of the NFT having the NFT activity volume index by a predetermined method (for example, a preset percentage (%)).

[0354] Exemplarily, if the NFT activity volume index for the first NFT (for example, an NFT related to the first artist) is equal to or greater than a predetermined reference value, an update can be performed to increase the purchase price of the first NFT. Conversely, if the NFT activity volume index for the first NFT (for example, an NFT related to the first artist) is less than a predetermined reference value, an update can be performed to decrease the purchase price of the first NFT.

[0355] In this way, the more the NFT is highly correlated with the fan activities performed by relatively more fan users, the more the value-price of the NFT is increased, and in the opposite case, the value-price of the NFT is decreased by performing an update. Thus, the more the NFT is desired by more fan users and is judged to have a large value, the higher the value-price of the NFT is increased. The value-price of the NFT can be adjusted reasonably and flexibly in response to the demand for the NFT.

[0356] In addition, in the embodiment, the random index system can provide business insights based on the determined random index. (S113)

[0357] Specifically, in an embodiment, the random index system can process various data based on the determined plurality of random indexes (which can include temporary random indexes) in a predetermined manner (for example, analysis based on the activity target, etc.), and generate and provide business insights that provide various statistical data.

[0358] Exemplarily, the random index system can generate and provide various statistical data such as comprehensive activity volume information corresponding to a predetermined artist (and / or group) (that is, the activity volume index for each artist (and / or group)), the ranking for each activity target based on the activity volume index, the main activity characteristics based on the sub-activity volume information, the main activity types based on the activity points for a predetermined factor, the detailed items within the main activity types, and the main activity time points, etc., based on the data for the plurality of random indexes.

[0359] According to an embodiment, the random index system can further reflect at least one additional data (for example, fan user questionnaire survey result data and / or fan user mission participation data, etc.) and provide business insights as described above.

[0360] In this way, the random index system can not only provide customized rewards for each fan user based on the random indexes (which can include temporary random indexes) determined according to the embodiments of the present invention, but also further provide various statistical data analyzed according to various criteria such as the activity target, etc., so as to satisfy the needs of users who require this (for example, artist (and / or group) production companies, etc.), and design, establish, and proceed with various plans, management, services, etc. related to fan activities for the artist (and / or group) based on the reliable basis data by the various statistical data.

[0361] As described above, the method for measuring and rewarding a fandom index according to an embodiment of the present invention can easily realize various services (for example, fandom management, reward provision, and / or event planning, etc.) related to the fan activity by generating and managing a fandom index representing the characteristics of various fan activities (Fan-activity) performed by fan users by matching the fandom index to the target of the fan activity and / or the fan user.

[0362] In addition, the method for measuring and rewarding a fandom index according to an embodiment of the present invention can provide a customized reward that reflects the target that the fan user is interested in and the preferred fan activity method based on the fan activity history based on the generated fandom index, thereby providing a reward that acts as a greater value to the fan user. As a result, the reward satisfaction of the fan user can be increased, and more active and enthusiastic fan activities can be enhanced in the future.

[0363] In addition, the method for measuring and rewarding a fandom index according to an embodiment of the present invention can analyze the metadata based on the fandom index and provide a customized reward based on the interest of the fan user, thereby leading to continuous participation in the fan activity of the fan user.

[0364] In addition, the method for measuring and rewarding a fandom index according to an embodiment of the present invention can provide rewards in a manner differentiated from the existing ones based on NFT (Non-Fungible Token) technology, thereby increasing the continuous participation and interest of a wide range of fandom layers including fan users who have been engaged in fan activities for a long time and new-generation fan users. Through this, various advantages due to the increase in fan activities, such as increasing the user retention time on the fan platform service, can be more effectively realized.

[0365] On the one hand, the embodiments of the present invention described above can be realized in the form of program instruction words that can be executed via various computer components and can be recorded on a computer-readable recording medium. The computer-readable recording medium can include program instruction words, data files, data structures, etc. alone or in combination. The program instruction words recorded on the computer-readable recording medium can be those specifically designed and configured for the present invention or those known and usable to those skilled in the computer software field. Examples of computer-readable recording media include magnetic media such as hard disks, floppy (registered trademark) disks, and magnetic tapes, optical recording media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices such as ROMs, RAMs, flash memories, etc. that are specifically configured to store and execute program instruction words. Examples of program instruction words include not only machine language codes such as those made by compilers but also high-level language codes that can be executed by a computer using an interpreter, etc. The hardware device can be changed into one or more software modules for performing the processing according to the present invention, and vice versa.

[0366] [Industrial Applicability] Since the present invention is a method for measuring a user's activities towards an artist and providing rewards in NFTs using a blockchain network, it has industrial applicability.

Claims

1. A method for a processor of at least one fan platform service server to measure and reward a fan index, comprising: collecting fan activity data for each fan user; determining a fan index (Fan-dom-index) including activity amount information for each fan user based on the collected fan activity data; providing ranking information among fan users for a predetermined activity target based on the activity amount information within the determined fan index; providing an NFT (Non-Fungible Token) reward based on the ranking information; A method for measuring and rewarding a fan index including the above steps.

2. The NFT (Non-Fungible Token) reward is The method for measuring and rewarding a fan index according to claim 1, which is a reward provided based on an NFT that is a digital file registered on a blockchain (BlockChain).

3. The step of providing an NFT reward based on the ranking information includes The method for measuring and rewarding a fan index according to claim 2, which includes the step of providing the NFT reward in at least one of a free NFT providing method and a method of providing NFT purchase rights.

4. The fan activity data includes At least one parameter information among activity target information for identifying the activity target that is the target of fan activity, activity section information for identifying the field of fan activity, activity time information for identifying the time point of fan activity, activity type information for identifying the detailed history of fan activity, activity reaction information for identifying the reaction of other users to fan activity, and the activity amount information for numerically identifying the execution amount of fan activity. The method for measuring and rewarding a fan index according to claim 3.

5. The step of providing an NFT reward based on the ranking information includes obtaining attribute information for each NFT; comparing the obtained attribute information for each NFT with the attribute information of the fan index determined based on each parameter value of the fan activity data; detecting NFT attribute information corresponding to the attribute information of the fan index by the comparison; providing a made-to-order NFT having the detected NFT attribute information as a reward. The method for measuring and rewarding a random index according to claim 4, which includes

6. The NFT attribute information is The method for measuring and rewarding a random index according to claim 5, which includes at least one parameter information among production target information for specifying the production target of the NFT, production section information for specifying the activity field of the production target, production time information for specifying the production and use time points of the NFT, and production format information for specifying the data file format of the NFT.

7. The step of comparing the attribute information of each NFT with the attribute information of the random index The method for measuring and rewarding a random index according to claim 6, which includes the step of mutually comparing each parameter value of the attribute information of each NFT with the corresponding parameter value of the attribute information of the random index.

8. The step of providing the made-to-order NFT as a reward If there are a plurality of the detected made-to-order NFTs, based on the preset priority information for each parameter of the attribute information of the random index, determining any one of the plurality of made-to-order NFTs as the made-to-order main NFT; The step of providing the determined made-to-order main NFT as a reward; The method for measuring and rewarding a random index according to claim 7, which includes

9. Further including the step of presetting the priority information, The step of presetting the priority information The method for measuring and rewarding a random index according to claim 8, which includes the step of presetting the priority information based on at least one of the sub-activity amount information obtained by classifying the activity amount information for each parameter of the attribute information of the random index and the default priority.

10. The step of collecting the fan activity data The method for measuring and rewarding a random index according to claim 1, which includes the step of collecting the first fan activity data based on the internal service and the second fan activity data based on the external service.

11. The step of determining the random index The step of summarizing the first fan activity data and the second fan activity data for each corresponding parameter of each fan activity data, The step of summarizing for each parameter The method for measuring and rewarding a fandom index according to claim 10, comprising the step of adding up the first activity amount information of the first fan activity data and the second activity amount information of the second fan activity data to determine the comprehensive activity amount information of the fandom index.

12. The step of providing an NFT reward based on the ranking information includes: detecting at least some fan users among the fan users who meet a predetermined criterion based on the activity amount information; providing the NFT reward via the terminals of the detected fan users; The method for measuring and rewarding a fandom index according to claim 1, including the above.

13. A method for measuring and rewarding a fandom index by a fan platform application executed by at least one processor of a fan terminal, comprising: generating fan activity data; obtaining a fandom index based on the generated fan activity data; providing predetermined ranking information based on the activity amount information within the obtained fandom index; providing an NFT (Non-Fungible Token) reward based on the provided ranking information; The method for measuring and rewarding a fandom index includes the above.

14. The step of providing an NFT reward based on the ranking information includes: The method for measuring and rewarding a fandom index according to claim 13, including the step of providing the NFT reward when a predetermined criterion based on the activity amount information is met.

15. The step of providing an NFT reward based on the ranking information includes: The method for measuring and rewarding a fandom index according to claim 14, including the step of providing the NFT reward in at least one of a free NFT providing method and a method of providing NFT purchase rights.

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