Information processing system, information processing method, and program

Abstract

The present invention addresses the problem of providing a mechanism for improving market value as a collection by enhancing the value of content while responding to respective needs of a user having high preference for specific content and a general user whose purpose is investment recovery.　Provided is an information processing system wherein, in a CPU 11 of a management server 1, an action database 41 manages a transaction of a ticket that certifies a right related to a brand, and stores actions of users participating in the transaction with respect to the brand. An evaluation unit 33 evaluates a user who corresponds to at least a preference coincidence degree and an investment intention with regards to the relationship of the user to the brand according to the action of the user. A matching unit 34 preferentially matches the ticket related to the brand to both a user having a high preference coincidence degree and a user having a high investment intention in a predetermined balance on the basis of a result of the evaluation. The above problem is thereby solved.

Description

Information processing system, information processing method, and program

[0001] The present invention relates to an information processing system, an information processing method, and a program.

[0002] A technology that enables transactions by standardizing the rights of creative works is known (see Patent Document 1). Additionally, a technology that combines rights management information with other digital information by performing automatic matching, selection, narrowcasting, categorization, and classification is known (see Patent Document 2).

[0003] Japanese National Publication of International Patent Application No. 2017-531273, Japanese Patent No. 5032630

[0004] However, no mechanism has been proposed that meets the respective needs of users who have high preference for specific content and general users who aim for investment return, while increasing the value of the content and improving the market value as a collection.

[0005] The present invention has been made in view of such circumstances, and an object of the present invention is to provide a mechanism that meets the respective needs of users who have high preference for specific content and general users who aim for investment return, while increasing the value of the content and improving the market value as a collection.

[0006] In order to achieve the above object, one aspect of the present invention is an information processing system that manages transactions of predetermined tickets that certify predetermined rights related to a predetermined brand, comprising: user behavior storage means for storing predetermined behaviors of a predetermined user participating in the transaction with respect to the predetermined brand; user behavior evaluation means for evaluating the relationship of the predetermined user to the predetermined brand according to the predetermined behavior, based on at least a predetermined preference matching degree and a predetermined investment intention of the user; and transaction matching means for preferentially matching the predetermined tickets related to the predetermined brand to both the user with a high preference matching degree and the user with a high predetermined investment intention with a predetermined balance based on the evaluation result.

[0007] An information processing method and program corresponding to the above-mentioned information processing system according to one aspect of the present invention are also provided as an information processing method and program corresponding to the information processing system according to one aspect of the present invention.

[0008] According to the present invention, it is possible to provide a mechanism that enhances the value of content and improves its market value as a collection, while meeting the needs of both users who have a strong preference for specific content and general users who aim to recoup their investment.

[0009] This figure shows an example of the overall configuration of an information processing system according to one embodiment of the present invention. This is a block diagram showing an example of the hardware configuration of the management server constituting the information processing system of Figure 1. This is a functional block diagram showing an example of the functional configuration of the management server. This is a flowchart showing an example of the processing flow of the management server up to the presentation of matching information to the user. This is a flowchart showing a specific example of the flow of a premium sale provided by this service. This is a flowchart showing a specific example of the flow of a market sale provided by this service. This is a flowchart showing a specific example of the flow of a market sale provided by this service when the brand is digital content. This figure shows a specific example when the brand is a derivative work.

[0010] Hereinafter, this embodiment will be described with reference to the drawings. <Information Processing System S> Figure 1 is a diagram showing an example of the overall configuration of an information processing system S according to one embodiment of the present invention. The information processing system S is a system configured to include a management server 1, a generation AI server 2, and user terminals 3-1 to 3-n (where n is an integer value of 2 or more) connected via a network N. The network N is, for example, the Internet, LAN (Local Area Network), VPN (Virtual Private Network), etc. Hereinafter, when it is not necessary to describe user terminals 3-1 to 3-n individually, they may be collectively referred to as "user terminal 3".

[0011] In the following, a specific service or content with unique characteristics will be referred to as a "brand," and a license for any rights related to a brand will be referred to as a "ticket." Content includes copyrighted works such as videos, images, music, audio, text, ebooks, trading cards, and games. Rights related to a brand include, for example, the right to use the content, the right to own the content, the right to license the content, the right to reproduce the content, the right to adapt the content, the right to watch a specific performance, and the right to enter a specific venue for an event. Brands include, for example, content, performances (e.g., concerts, plays, etc.), and events (e.g., sporting events, exhibitions, comic markets, etc.). Tickets include, for example, admission tickets to theaters and rights to watch movies. Tokens that electronically encode tickets are also included in the definition of "ticket." Users who own a brand and sell tickets will be referred to as "sellers."

[0012] Information processing system S provides users with a service (hereinafter referred to as "the Service") that maximizes brand profits by conducting various transactions related to tickets. When users using the Service purchase tickets from a user acting as a seller, they may have two motivations: one is to use or acquire the brand themselves, and the other is to gain economic profit by reselling or lending the tickets. The proportion of these two motivations varies depending on the user and the content of the ticket. In the following, users with a relatively high proportion of motivation to use or acquire the brand themselves may be referred to as "purchasers," and users with a relatively high proportion of motivation to gain economic profit by reselling or lending the tickets may be referred to as "investors."

[0013] First, we will explain the basic method by which users trade tickets using this service. In this service, sales transactions from sellers to investors (hereinafter referred to as "Premier Sales") are conducted first. In a Premier Sale, when a seller registers the tickets to be sold, a token is set for the registered tickets. The set token is linked to the type of rights granted for the tickets being sold, the owner (the seller at the time the token is set), the price, the number of tickets sold, and the commission rate that the seller will receive during the market sale described later.

[0014] Furthermore, if the ticket price is determined retrospectively through a transaction method such as an auction, the token setting field will be treated as blank (not set) at the time of token setting, and the token will be linked after the price has been determined. The number of tokens linked at the time of token setting for the number of tickets sold will be created on the blockchain existing on network N and displayed (i.e., listed for sale) on the market where the tickets are traded. When an investor purchases a ticket displayed on the market, the ownership of the ticket managed on the blockchain will be changed from the seller to the investor, and the amount minus the system fee from the purchase price will be deposited to the seller.

[0015] Following the premier sale, sales transactions (hereinafter referred to as "market sales") take place between investors who purchased tickets from sellers through the premier sale and other buyers. Market sales also include sales (resale) transactions (i.e., transactions between buyers) between buyers who purchased tickets from investors and other buyers. In other words, market sales include sales (which may be referred to as "resales"), lending (which may be referred to as "rentals"), exchanges (which may be referred to as "trades"), and gratuitous transfers (which may be referred to as "gifts").

[0016] The market sale will be conducted as follows: First, when an investor sets a sales request using this service, the blockchain will be referenced to verify whether the investor owns the token for the corresponding ticket. Once ownership of the token for the corresponding ticket is confirmed, the token for that ticket will be displayed on the market, and a unique URL will be issued to the investor. The investor will then promote the ticket by displaying the issued URL on their social networking service (SNS), etc.

[0017] Buyers who purchase tickets advertised by investors can access the marketplace via a URL displayed on the investor's social media, etc., to purchase or borrow (rent) tickets. Buyers can also find and purchase tickets listed on the marketplace page, not just via a unique URL. When a buyer purchases a ticket sold by an investor, ownership of the ticket's token is transferred from the investor to the buyer, and the profits are distributed between the investor and the seller. Furthermore, when a buyer borrows a ticket lent by an investor, a time-limited token for that ticket is granted to the buyer, and the profits are distributed between the investor and the seller as in the case of purchase, but an additional time-limited token is created on the blockchain for that ticket.

[0018] In market sales, in addition to the sales and rentals mentioned above, various transactions take place, such as the exchange of tickets owned by each party and the free transfer of tickets where the seller bears the cost. The seller may be allowed to set which transaction methods are permitted when conducting a premium sale. Furthermore, the seller may be allowed to change the transaction methods set during the premium sale for market sales. This would allow the seller to adopt the most suitable sales strategy as needed, while having an overview of the overall ticket sales situation.

[0019] Furthermore, the brand associated with the tickets sold by the seller may be for viewing digital content such as videos, images, music, ebooks, digital trading cards, or games. In this case, the seller uploads the digital content data when registering the tickets. The uploaded digital content data is encrypted and stored in designated storage.

[0020] When a ticket purchaser views digital content, ownership of the ticket token is verified, and encrypted digital content data and a key to decrypt it are issued. The purchaser uses the issued key to view the digital content. Since the purchaser cannot share the purchased digital content on any other service, the circulation of pirated copies, which do not benefit the seller, can be suppressed. In addition, the owner's ID may be embedded as a watermark when the purchaser views the digital content. This deters illegal copying and allows for tracking in the event of a leak. Furthermore, the marketplace may include a user interface that allows users to report pirated content when they discover it.

[0021] Furthermore, tickets sold by a vendor may represent ownership of a physical item. In this case, an NFC (Near Field Communication) chip may be embedded in or attached to the physical item, allowing the NFC chip's ID to be set as a token. This makes it possible to create digital content as a digital representation of the physical item.

[0022] Furthermore, the ticket prices that sellers can set when registering tickets include fixed prices, dynamic pricing, and auctions. Of these, dynamic pricing, for example, is a method in which the ticket price changes automatically and quickly in response to real-time changes in supply and demand to maximize total ticket sales.

[0023] Furthermore, ticket prices are set as follows: If the ticket price is too low, the seller's profit will be small. On the other hand, if the ticket price is too high, the tickets will not sell. Therefore, this service proposes a price that maximizes the seller's profit when listing tickets. Such a proposal is preferably a well-balanced price setting. This service utilizes, for example, past statistical data and the inference results of a predetermined AI model provided by the generating AI server 2.

[0024] Furthermore, the minimum ticket price is set as follows: Sellers can set a minimum selling price (minimum price) when listing tickets for sale, rental, exchange, or free transfer in a market sale. However, if the minimum ticket price is too low, the seller's profit will be reduced. On the other hand, if the selling price is too high, the tickets will not sell. Therefore, in this service, a predetermined AI model proposes a price that maximizes the seller's profit when listing tickets.

[0025] Furthermore, this service enables the sale of ticket sets. That is, sellers and investors can select combinations (sets) of multiple tickets they own, assign a theme to each combination, and sell them as sets. This allows sellers and investors to function as ticket curators. As a result, buyers can purchase tickets with confidence, even if they include tickets for services or content they are unfamiliar with, as long as the combination is sold by a trusted curator. Ticket sets can also be applied to situations where buyers regularly purchase tickets supplied periodically by a brand.

[0026] Furthermore, this service enables the random sale of tickets. That is, sellers and investors can register combinations of multiple tickets, and then sell a single piece of content in which the services or content corresponding to each of the registered tickets are randomly combined. When a buyer purchases a set of tickets, they will receive one ticket randomly selected from the multiple tickets. It may also be possible to pre-set which tickets will be provided to the buyer and to what extent. This is expected to increase the number of buyers who purchase tickets out of a desire to obtain rare tickets or to collect specific types of tickets, thereby maximizing the profits of sellers and investors.

[0027] Furthermore, this service evaluates user behavior (hereinafter referred to as "user behavior evaluation") based on at least one of two factors: preference matching degree (PMD), which indicates the degree of attachment users such as investors and buyers have to a particular brand, including passion, enthusiasm, interest, concern, and willingness to invest (WTI). The results of the user behavior evaluation are quantified as points that can be used within this service. Specifically, the actions taken by users toward a particular brand are recorded, the content of the recorded actions is evaluated as preference matching degree, and points are awarded to the user according to the evaluation result.

[0028] Behaviors used to evaluate preference matching include, for example, the duration of ticket ownership, the amount spent on ticket transactions and the number of bids, the number of times ticket-related content was advertised, the number of clicks or purchases resulting from the advertisement, the amount of compensation received for the success of the advertisement, the number of "likes" clicked, and the quality and quantity of reviews. Points awarded to users can be exchanged for rewards such as priority ticket purchase rights, tickets for the brand's next event, and the right to propose ideas for campaigns. As multiple users compete to demonstrate their enthusiasm, it is expected that trading for that brand will become more active.

[0029] Furthermore, this service enables matching users with tickets. In other words, users such as investors and buyers not only explore brands themselves, but brands that are likely to interest them are extracted and recommended to users based on their past behavior history and behavioral trends, for example. For investors, investment performance indicators similar to those of existing stock investment platforms are presented, and tickets with high performance or those expected to improve performance are preferentially extracted and recommended to users based on a purely investment perspective. Specifically, these recommendations are prioritized through methods such as displaying them on the top screen of the trading site, displaying them at the top of the search list, and sending preferential push notifications.

[0030] Furthermore, this service enables investment and fundraising not only for tickets that have already been issued, but also for tickets that have not yet been issued. In other words, sellers can use this service to raise funds from investors for tickets that will be sold in the future. Sellers can then use the funds raised to create new services or content and sell tickets for them. In this case, the profits from the ticket sales will be returned to the investors.

[0031] Furthermore, this service enables the use of a "bookbuilding method" to initially sell tickets to user groups with a high degree of preference matching and users with a high willingness to invest. In the bookbuilding method, bidders first set their own price and quantity. Then, the winning bidders are determined in order of the highest bids, and the desired quantities are allocated to the top bidders first. The bookbuilding method offers several advantages, such as the ability to determine prices in accordance with specific demand, the elimination of concerns about unsold tickets, and the ability to fairly balance price and quantity.

[0032] Furthermore, this service enables the trading of derivative works. Specifically, the seller, who is the creator of the original work (primary creator), sells tickets as a premium sale that are linked to the right to create derivative works from the original work (derivative work). In this case, the investor, who is the creator of the derivative work (derivative creator), obtains permission from the primary creator for the derivative content by purchasing the ticket linked to the right to create the derivative work. This makes it possible to trade derivative works on the market sale (for example, by selling or lending them). A portion or all of the profits obtained from trading derivative works are distributed to the primary creator (seller) and the derivative creator (investor) in a predetermined proportion. This prevents free-riding, where the derivative creator (investor) monopolizes the profits by using the content of the primary creator (seller).

[0033] [Management Server 1] Management Server 1, which constitutes the Information Processing System S, is an information processing device that acts as a server for managing the entire Information Processing System S. Management Server 1 is capable of executing predetermined application programs that make the Information Processing System S available for use. Management Server 1 is capable of transmitting various types of information to the Generation AI Server 2, the User Terminal 3, and external sources, and executing various types of processing. Furthermore, Management Server 1 is capable of acquiring various types of information transmitted from the Generation AI Server 2, the User Terminal 3, and external sources, and executing various types of processing.

[0034] For example, management server 1 manages the trading of tickets that prove rights related to a brand. These rights include, for example, the right to use, own, lend, reproduce, and adapt content, as well as the right to watch a specific performance or enter a specific event venue. The ticket contains a token.

[0035] Furthermore, the management server 1 stores and manages the actions of users participating in ticket transactions towards the brand (hereinafter referred to as "user behavior information"). The management server 1 also performs user behavior evaluations based on the user behavior information. The management server 1 stores and manages the results of the user behavior evaluation as "behavior evaluation information". The management server 1 also performs matching between users and tickets. The management server 1 stores and manages the results of the matching as "matching information". For example, based on the behavior evaluation information, the management server 1 preferentially matches tickets related to a brand to both users with a high degree of preference match and users with a high willingness to invest, in a predetermined balance. Hereinafter, the control of the balance between users with a high degree of preference match and users with a high willingness to invest, which the management server 1 performs during matching, will be referred to as "user balance control".

[0036] Management server 1 enables premium sales by using user balance control, for example, by prioritizing ticket matching to users with high investment intent. In addition to the method of selling at the regular price, if the number of tickets is limited, the premium sale includes an auction method in which prospective buyers bid any amount, and purchases are confirmed in order of the highest bids until the limited number is reached. In the auction method, if the number of prospective buyers is less than the limited number, all prospective buyers may be guaranteed a purchase.

[0037] Furthermore, the management server 1 is capable of outputting affiliate information (hereinafter referred to as "affiliate information") in response to a user's offer of a specific advertisement (hereinafter referred to as "affiliate") as part of a market sale. The affiliate system is a mechanism in which a user receives compensation (including a portion of the advertising fee or a performance-based commission) based on the success of their advertising by advertising tickets they own to other users, such as selling, lending, exchanging, or giving away for free, or advertising the content related to those tickets. The management server 1 is capable of controlling whether to accept or reject affiliate offers in response to requests from specific users who are the originators (first sellers) of the tickets.

[0038] Furthermore, the management server 1 distributes the profits generated from ticket transactions. For example, if a buyer purchases a ticket sold by an investor, the management server 1 distributes the profits generated to both the investor and the seller. Also, if a buyer borrows a ticket lent by an investor, the management server 1 distributes the profits generated to both the investor and the seller. In addition, the management server 1 can distribute a predetermined profit related to an affiliate ticket transaction to a specific user upon completion of the transaction. The management server 1 stores and manages the results of the profit distribution as "profit distribution information".

[0039] Furthermore, the management server 1 enables user balance control to maximize predetermined profits from ticket transactions. The management server 1 also feeds back the bidding results of the premium sale using the bidding method (e.g., bid amount, winning bid amount, number of bids, etc.) to user behavior evaluation and user balance control.

[0040] Furthermore, the management server 1 is capable of outputting information to other users regarding tickets owned by a designated user, in accordance with predetermined transaction conditions, upon request from that user. For example, the management server 1 outputs information according to transaction conditions such as sales price setting, minimum price setting, set sales, and random sales. Details of the configuration and processing of the management server 1 will be described later.

[0041] [Generating AI Server 2] The generating AI server 2, which constitutes the information processing system S, realizes the various processes described above by utilizing a predetermined AI model and deep learning. The predetermined AI model performs processing based on the input prompt and outputs the processing result. Such a predetermined AI model is provided to the management server 1 and supports at least a part of the processing performed by the management server 1.

[0042] [User Terminal 3] The user terminal 3 configuring the information processing system S is an information processing device operated by a user who uses the present service. The user terminal 3 is configured by, for example, a personal computer, a tablet terminal, a smartphone, or the like. The user terminal 3 is capable of executing a predetermined application program that implements at least part of the functions of the information processing system S. The user terminal 3 is capable of executing various types of processing based on various types of information respectively transmitted from the management server 1 and the outside, various types of information input by the user, and the like. Furthermore, the user terminal 3 is capable of transmitting various types of information to each of the management server 1 and the outside.

[0043] The above-described processing respectively performed by the management server 1, the generative AI server 2, and the user terminal 3 configuring the information processing system S is merely an example. That is, it is sufficient that the information processing system S as a whole has a function of implementing the above-described processing, so part or all of the functions for implementing the above-described processing may be shared or cooperated within the information processing system S.

[0044] For example, part or all of the functions of the management server 1 may be used as functions of another information processing device in the information processing system S. Further, part or all of the functions of another information processing device in the information processing system S may be used as functions of the management server 1. Furthermore, part or all of the functions of the management server 1 may be transferred to another server not shown in the drawings. This promotes the processing of the information processing system S as a whole, and also makes it possible to complement the processing with each other.

[0045] <Hardware Configuration> [Hardware Configuration of Management Server 1] FIG. 2 is a block diagram showing an example of the hardware configuration of the management server 1 configuring the information processing system S of FIG. 1. The management server 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, an output unit 16, an input unit 17, a storage unit 18, a communication unit 19, and a drive 20.

[0046] The CPU 11 executes various processes in accordance with programs recorded in the ROM 12 or programs loaded from the storage unit 18 to the RAM 13. The RAM 13 also appropriately stores data and the like necessary for the CPU 11 to execute various processes. The CPU 11, the ROM 12, and the RAM 13 are mutually connected via a bus 14. An input / output interface 15 is also connected to the bus 14.

[0047] To the input / output interface 15, an output unit 16, an input unit 17, the storage unit 18, a communication unit 19, and a drive 20 are connected. The output unit 16 is configured of a display, a speaker, and the like, and outputs various information as images, audio, and the like. The input unit 17 is configured of a keyboard, a mouse, a touch panel, and the like, and accepts input of various information. The storage unit 18 is configured of a hard disk, a DRAM (Dynamic Random Access Memory), and the like, and stores various data. The communication unit 19 performs communication with other devices via the aforementioned network N configured by the Internet or the like.

[0048] A removable medium 21 composed of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is appropriately mounted in the drive 20. A program read from the removable medium 21 by the drive 20 is installed in the storage unit 18 as necessary. Furthermore, the removable medium 21 is also capable of storing various data stored in the storage unit 18, similarly to the storage unit 18.

[0049] [Hardware Configuration of User Terminal 3] The user terminal 3 has the same configuration as the hardware configuration of the management server 1 shown in FIG. 2 described above. That is, the user terminal 3 respectively includes an unillustrated CPU, ROM, RAM, bus, input / output interface, output unit, input unit, storage unit, communication unit, drive, and removable medium corresponding to each of the CPU 11, ROM 12, RAM 13, bus 14, input / output interface 15, output unit 16, input unit 17, storage unit 18, communication unit 19, drive 20, and removable medium 21 in FIG. 2.

[0050] <Functional Configuration of Management Server 1> Figure 3 is a functional block diagram showing an example of the functional configuration of management server 1. In the CPU 11 of management server 1, the following functions operate: information management unit 31, information acquisition unit 32, evaluation unit 33, matching unit 34, distribution unit 35, and transmission control unit 36.

[0051] Furthermore, the storage unit 18 of the management server 1 is equipped with various databases. For example, it is equipped with databases such as the behavior DB 41 which stores user behavior information, the evaluation DB 42 which stores behavior evaluation information, the matching DB 43 which stores matching information, and the distribution DB 44 which stores profit distribution information.

[0052] The information management unit 31 stores and manages various types of information in the database of the storage unit 18. For example, the information management unit 31 stores and manages user behavior information in the behavior DB 41. Specifically, the information management unit 31 manages user behavior information for each brand or for each piece of content related to a brand for users participating in ticket transactions. User behavior information may include, for example, the history of ticket ownership, purchase, sale, lending, exchange, and free transfer. Furthermore, if tickets are sold in limited quantities and a premium sale using an auction system is employed, bidding-related information such as bid amount, winning bid amount, number of bids, and winning bid rate may be included in the user behavior information. In addition, if affiliate marketing is conducted, advertising-related information such as the number of advertisements, number of clicks, number of purchases guided, and amount of compensation may be included in the user behavior information.

[0053] Furthermore, the information management unit 31 stores and manages behavioral evaluation information in the evaluation DB 42. The information management unit 31 also stores and manages matching information in the matching DB 43. Finally, the information management unit 31 stores and manages profit distribution information in the distribution DB 44.

[0054] The information acquisition unit 32 acquires various types of information. For example, the information acquisition unit 32 acquires user behavior information. The information acquisition unit 32 also acquires various types of information transmitted to the management server 1 from the generation AI server 2, the user terminal 3, and external sources. Of this, the generation AI server 2 transmits processing results from a predetermined AI model. The user terminal 3 transmits input information received by the input unit of the user terminal 3, among other things.

[0055] The evaluation unit 33 performs a user behavior evaluation based on user behavior information. The results of the user behavior evaluation by the evaluation unit 33 are managed as behavior evaluation information. Specifically, the evaluation unit 33 calculates the degree of preference agreement and the willingness to invest based on the user behavior information. The degree of preference agreement may be calculated based on, for example, the viewing completion rate, repeat viewing, the quantity or quality of reviews, and enthusiasm behaviors such as gifts. The willingness to invest may be calculated based on monetary behaviors such as the total purchase amount, sales profit, short-term trading frequency, bid amount, winning bid amount, number of bids, and the amount of consideration received according to the advertising results. When performing the evaluation, the evaluation unit 33 may normalize the behavioral features (for example, logarithmic transformation, upper limit clipping, quantile transformation, etc.), weight them, sum them up, and convert them to a predetermined range using a predetermined scaling function (for example, sigmoid, min-max, etc.). Furthermore, the contribution of older behaviors may be reduced by applying time decay.

[0056] The matching unit 34 matches users with tickets. For example, the matching unit 34 performs user balance control based on behavioral evaluation information. In this case, the matching unit 34 preferentially matches users with both a high degree of preference matching and a high degree of investment willingness in a predetermined balance. For example, the priority exposure slots for a predetermined period (e.g., top display, top search display, push notifications, etc.) are divided into a proportion allocated to the user group with the highest degree of preference matching (hereinafter referred to as "proportion ρ_P") and a proportion allocated to the user group with the highest degree of investment willingness (hereinafter referred to as "proportion ρ_I") (ρ_P + ρ_I = 1). The matching unit 34 then maximizes a predetermined profit from ticket transactions by updating proportion ρ_I.

[0057] Specifically, when conducting a premium sale using an auction system, the average winning bid price P_clear and the conversion rate C are used as indicators of demand intensity. For example, if the average winning bid price P_clear exceeds the target price P_target, and the retention indicators (e.g., churn rate) of the top-performing user group have not deteriorated, the proportion ρ_I may be increased. Conversely, if the retention indicators of the top-performing user group have deteriorated, the proportion ρ_I may be decreased. The proportion ρ_I may also be restricted to a predetermined range (e.g., ρ_min to ρ_max).

[0058] Furthermore, the bidding results (e.g., bid amount, winning bid amount, number of bids, etc.) may be fed back to the evaluation unit 33 as user behavior information for evaluating investment intent. This allows the fed-back user behavior information to be reflected in the identification of the top user groups with investment intent in the next cycle and in user balance control (i.e., updating of the ratio ρ_I).

[0059] Here, as a concrete example, suppose that from a user's user behavior information, characteristics such as a high viewing completion rate, frequent repeat viewings, many reviews, long holding periods, and infrequent sales and bidding are identified. In this case, the evaluation unit 33 described above evaluates the degree of preference matching as high and investment intent as low or average, so the matching unit 34, for example, prioritizes displaying new or limited edition items from a brand and makes suggestions to encourage continued ownership (collection).

[0060] Furthermore, suppose that user behavior information of a particular user identifies characteristics such as frequent short-term resales after purchase, large profit margins, consistent high bids in auction-based premium sales, and infrequent viewing activity. In this case, the evaluation unit 33 evaluates the user as having a low or average preference match and high investment intent. Therefore, the matching unit 34 prioritizes, for example, announcements of premium sales including fixed-price sales and auction-based sales, and presents market sale offers including sales, rentals, exchanges, free transfers, and advertising (affiliate marketing) at the top of the list.

[0061] The distribution unit 35 distributes the profits generated from ticket transactions. For example, the distribution unit 35 distributes the profits generated when an investor sells tickets purchased from a seller to a buyer to both the investor and the seller. In addition, the distribution unit 35 distributes a predetermined profit related to an affiliate ticket transaction to a specific user upon completion of the transaction. The results of profit distribution by the distribution unit 35 are managed as profit distribution information.

[0062] The transmission control unit 36 ​​controls the output of various types of information to the generation AI server 2, the user terminal 3, and external sources. For example, the transmission control unit 36 ​​controls the transmission of prompts to be input to a predetermined AI model to the generation AI server 2. The transmission control unit 36 ​​also controls the transmission of various processing results to the user terminal 3.

[0063] <Processing Flow of Management Server 1> Figure 4 is a flowchart showing an example of the processing flow of Management Server 1 up to the point where matching information is presented to the user. Management Server 1 stores and manages user behavior information (Step S1). Management Server 1 performs a user behavior evaluation based on the user behavior information (Step S2), and stores and manages the behavior evaluation information (Step S3).

[0064] Management server 1 performs matching between users and tickets (step S4), and stores and manages the matching information (step S5). Management server 1 then presents the matching information obtained in step S4 to the user (step S6). This completes the processing of management server 1 (END).

[0065] <Flow of this service> Figure 5 is a flowchart showing a specific example of the flow of a premium sale provided by this service. As mentioned above, a premium sale is a sales transaction from a seller to an investor. As shown in Figure 5, a premium sale consists of a "listing flow" and a "purchase flow". In the listing flow, seller U1 registers the tickets to be sold (step S11) and sets the token granting rights type, price, number of tickets for sale, and commission rate for the market sale (step S12). Next, management server 1 creates the number of tokens to be sold on the blockchain (step S13) and starts the sale by displaying the tickets to be sold on the market (step S14).

[0066] In the purchase flow, when investor U2 purchases tokens (step S21), the management server 1, after the settlement is complete, changes the token owner from the seller to the investor (step S22), and controls the transfer of the amount minus the system fee from the sales proceeds to the seller (step S23).

[0067] Figures 6 and 7 are flowcharts illustrating specific examples of the market sale flow provided by this service. As mentioned above, a market sale is a sales transaction from investor U2 to buyer U3. As shown in Figures 6 and 7, a market sale consists of, for example, a "listing and promotion flow," a "resale flow," a "rental flow," a "trade flow," and a "gift flow."

[0068] In the listing and promotion flow shown in Figure 6, investor U2 requests the sale of tickets (step S31). The management server 1 then verifies the ownership of the tokens on the blockchain (step S32), displays that it is a resale on the market, and issues a unique URL (step S33). Investor U2, having obtained the unique URL, promotes it on social media, etc. (step S34).

[0069] In the resale flow shown in Figure 6, when buyer U3 purchases tokens (step S41), the management server 1, after the settlement is complete, changes the token owner from investor U2 to buyer U3 (step S42), and controls the transfer of the amount obtained by deducting the system fee and sales commission from the sales proceeds to the investor (step S43). The management server 1 also controls the transfer of the seller's commission to seller U1 (step S44).

[0070] In the rental flow shown in Figure 6, when buyer U3 purchases tokens (step S51), the management server 1 grants the buyer U3 time-limited tokens after the settlement is completed (step S52), and controls the transfer of the amount obtained by subtracting the system fee and sales commission from the sales proceeds to investor U2 (step S53). The management server 1 also controls the transfer of the seller's commission to seller U1 (step S54).

[0071] In the trade flow shown in Figure 7, when investor U2 offers a trade (step S61), the management server 1 verifies the ownership of the tokens on the blockchain (step S62) and displays the trade offer (step S63). Then, when buyer U3 accepts the trade offer and displays their own trade offer (step S64), the management server 1 verifies the ownership of the tokens on the blockchain (step S65) and displays the trade offer (step S66). Then, when investor U2 accepts the trade offer (step S67), the management server 1 exchanges the ownership of the respective tokens (step S68).

[0072] In the gift flow shown in Figure 7, when investor U2 requests a gift (step S71), the management server 1 verifies the ownership of the token on the blockchain (step S72). Then, when investor U2 completes the payment (step S73), the management server 1 changes the owner (step S74) and controls the transfer of the seller's fee to seller U1 (step S75).

[0073] Figure 8 is a flowchart illustrating a specific example of the market sale process when the brand is digital content. When the brand is digital content, the market sale consists of a "listing flow" and a "viewing flow," as shown in Figure 8. In the listing flow, seller U1 registers the tickets to be sold (step S81), sets the token licensing rights type, price, number of tickets for sale, and commission rate for the market sale (step S82), and then uploads the content (step S83). Then, management server 1 encrypts the content and saves it to storage (for example, storage unit 18 in Figure 2) (step S84), creates tokens on the blockchain for the number of tickets to be sold (step S85), and starts sales by displaying the tickets for sale on the market (step S86).

[0074] In the viewing flow, when investor U2 or buyer U3 requests to view the content (step S91), management server 1 verifies the ownership of the token on the blockchain (step S92). Then, an encrypted file is sent from storage (step S93). Management server 1 sends the decryption key (step S94). In other words, only the token owner can view the content.

[0075] Figure 9 shows a specific example of a brand being a derivative work. Figure 9 shows a management server 1, a primary creator U11 who is the seller, a derivative creator U12 who is the investor, and a buyer U13. Primary creator U11 uses this service to list (sell) their primary work (step S111). Specifically, primary creator U11 sells tickets (hereinafter referred to as "derivative work rights tickets") that are linked to the right to create derivative works from the primary work (derivative works) as a premium sale. The derivative work rights tickets serve as proof that the work is derived from the primary work.

[0076] By using this service, derivative creator U12 obtains permission from the original creator U11 for the derivative content by purchasing a ticket that grants the right to create derivative works (Step S112). This makes it possible to trade derivative works on the market sale. Part or all of the price paid by derivative creator U12 when purchasing the derivative work rights ticket becomes compensation for the original creator U11. Derivative creator U12, having purchased the derivative work rights ticket, puts the derivative content up for sale by uploading it (Step S113). At this time, the original creator U11 and this service go through the procedure of applying for permission to purchase and put up the derivative content (Purchase / Listing Permission Application) (Step S114), and the procedure of granting permission in return (Purchase / Listing Permission) (Step S115).

[0077] Buyer U13 purchases derivative works and pays for them by using this service. A portion or all of the profits obtained from the transaction of derivative works will be distributed to the original creator U11 and the derivative creator U12 in a predetermined proportion.

[0078] <Advantageous Effects of This Embodiment> According to the above embodiment, it is possible to provide a mechanism that enhances the value of content and improves its market value as a collection, while meeting the needs of both users who have a strong preference for specific content and general users who aim to recoup their investment. Specifically, for example, by achieving both maximization of revenue through the inflow of funds from a group of users with a high willingness to invest and maintenance and improvement of brand value through the continued involvement of a group of users with a high degree of preference matching, it is possible to increase the market value of tickets in transactions.

[0079] <Other> Although one embodiment of the present invention has been described above, the present invention is not limited to the above-described embodiment, and modifications, improvements, etc., to the extent that the objectives of the present invention can be achieved are included in the present invention. For example, the series of processes described above can be executed by hardware or by software. In other words, the above-described functional configuration is merely illustrative and not particularly limited. That is, it is sufficient that the information processing system is equipped with a function that can execute the series of processes described above as a whole, and the type of functional block used to realize this function is not particularly limited to the above-described example.

[0080] Furthermore, the location of the functional blocks is not particularly limited and can be arbitrary. For example, the functional blocks of management server 1 may be transferred to other devices, or the functional blocks of other devices may be transferred to servers. Also, a single functional block may consist of hardware alone, software alone, or a combination of both.

[0081] When a series of processes are executed by software, the programs that make up that software are installed on a computer or other device from a network or storage medium. The computer may be a computer built into dedicated hardware. Alternatively, the computer may be a computer capable of performing various functions by installing various programs, such as a server, a general-purpose smartphone, or a personal computer.

[0082] Such recording media containing programs may consist not only of removable media (not shown) distributed separately from the main device to provide programs to users, but also of recording media provided to users in a state where they are pre-installed in the main device. Since programs can be distributed via a network, the recording media may be installed on or accessible from a computer connected to or capable of connecting to a network.

[0083] In this specification, the step of describing a program to be recorded on a recording medium includes not only processes that are performed chronologically in that order, but also processes that are not necessarily performed chronologically, but are executed in parallel or individually. Furthermore, in this specification, the term "system" refers to an overall system composed of multiple devices, means, etc.

[0084] In other words, the information processing system to which the present invention is applied can take various forms having the following configurations: (1) That is, the information processing system S to which the present invention is applied is an information processing system that manages transactions of predetermined tickets that prove predetermined rights relating to a predetermined brand, and comprises: a user behavior storage means (for example, behavior DB 41 in Figure 3) that stores predetermined actions of predetermined users participating in the transaction toward the predetermined brand; a user behavior evaluation means (for example, evaluation unit 33 in Figure 3) that evaluates the relationship of the predetermined user toward the predetermined brand according to the predetermined actions, according to at least a predetermined degree of preference matching and predetermined willingness to invest; and a transaction matching means (for example, matching unit 34 in Figure 3) that, based on the results of the evaluation, preferentially matches the predetermined tickets relating to the predetermined brand toward both users with a high degree of preference matching and users with a predetermined willingness to invest, in a predetermined balance.

[0085] (2) The transaction matching means may also preferentially match the specified tickets for the specified brand with users who have a high willingness to invest as a premium sale, and the premium sale may include a method of selling at the regular price, or, if the specified tickets are sold in limited quantities, a bidding method in which prospective buyers bid any amount and purchases are confirmed in order of the highest bids until the limited number is reached. This makes it possible to attract funds from users who have a high willingness to invest in each brand and increase the value of the brand.

[0086] (3) The transaction matching means may also output information relating to an offer to sell, lend, exchange, transfer free of charge, or promote a specified content relating to a specified ticket owned by a specified user to another user, in response to a request from the specified user, and receive compensation according to the results of such promotion (e.g., affiliate program). This makes it possible to enhance the value of a brand by providing users who own a specified ticket relating to a specified brand with flexible revenue opportunities.

[0087] (4) Furthermore, the transaction matching means can control whether or not to offer the sale, loan, exchange, or free transfer of the ticket, in response to a request from a specific user among the predetermined users who is the originator of the predetermined ticket. This allows the revenue opportunities for each brand to be controlled according to the wishes of the originator who has the highest degree of involvement with the brand, thereby enhancing the value of the brand in a way that aligns with the originator's intentions.

[0088] (5) The system may also be further provided with a profit distribution means (for example, the distribution unit 35 in Figure 3) that distributes a predetermined profit related to the transaction to the specific user in response to the completion of the transaction. This gives the originator the opportunity to earn revenue in response to subsequent ticket transactions, thereby increasing the originator's expectations of the trading market and, as a result, encouraging the originator to sell tickets for high-value brands.

[0089] (6) The transaction matching means can also control the predetermined balance to maximize the predetermined profit related to the transaction, and can feed back the bidding results of the premium sale using the bidding method (e.g., bid amount, winning bid amount, number of bids, etc.) to the evaluation of predetermined investment intent and the control of the predetermined balance. This makes it possible to optimize the matching balance between users with a high degree of preference match and users with a high willingness to invest for a predetermined ticket, thereby maximizing the originator's profits.

[0090] (7) The transaction matching means can also output information to other users regarding tickets owned by the predetermined user in response to a request from the predetermined user, according to predetermined transaction conditions (e.g., setting a sales price, setting a minimum price, selling in sets, selling randomly, etc.). This makes it possible to enhance the value of the brand by matching transactions under various conditions.

[0091] Furthermore, the information processing method to which the present invention is applied can take various forms having the following configurations. (8) That is, the information processing method to which the present invention is applied is an information processing method executed by an information processing device, which manages transactions of predetermined tickets that prove predetermined rights relating to a predetermined brand, and includes the steps of: storing predetermined actions of a predetermined user towards the predetermined brand that participate in the transaction; evaluating the relationship of the predetermined user towards the predetermined brand in accordance with the predetermined actions, with respect to at least a predetermined degree of preference matching and a predetermined willingness to invest; and prioritizing the matching of the predetermined tickets relating to the predetermined brand to both users with a high degree of preference matching and users with a predetermined willingness to invest, in a predetermined balance, based on the results of the evaluation. This provides a mechanism that enhances the value of content and improves its market value as a collection, while meeting the needs of both users who have a high preference for specific content and general users who aim to recoup their investment.

[0092] Furthermore, the program to which the present invention is applied can take various forms having the following configurations. (9) That is, the program to which the present invention is applied is a program for causing a computer that controls an information processing device that manages transactions of predetermined tickets that prove predetermined rights relating to a predetermined brand to execute a control process that includes the steps of: storing predetermined actions of predetermined users participating in the transaction toward the predetermined brand; evaluating the relationship of the predetermined user toward the predetermined brand according to the predetermined actions, in accordance with at least a predetermined degree of preference matching and predetermined willingness to invest; and, based on the results of the evaluation, preferentially matching the predetermined tickets relating to the predetermined brand toward both users with a high degree of preference matching and users with a predetermined willingness to invest, in a predetermined balance. This makes it possible to provide a mechanism that enhances the value of content and improves its market value as a collection, while meeting the needs of both users who have a high preference for specific content and general users who aim to recoup their investment.

[0093] 1: Management Server, 2: Generation AI Server, 3: User Terminal, 11: CPU, 16: Output Unit, 17: Input Unit, 18: Storage Unit, 19: Communication Unit, 31: Information Acquisition Unit, 32: Information Management Unit, 33: Evaluation Unit, 34: Matching Unit, 35: Distribution Unit, 36: Transmission Control Unit, 41: Behavior DB, 42: Evaluation DB, 43: Matching DB, 44: Distribution DB, N: Network, S: Information Processing System

Claims

1. An information processing system for managing transactions of predetermined tickets that certify predetermined rights relating to a predetermined brand, comprising: a user behavior storage means for storing predetermined actions of a predetermined user participating in the transaction toward the predetermined brand; a user behavior evaluation means for evaluating the relationship of a predetermined user toward the predetermined brand according to the predetermined actions, with respect to at least a predetermined degree of preference matching and a predetermined willingness to invest; and a transaction matching means for preferentially matching the predetermined tickets relating to the predetermined brand with both users with a high degree of preference matching and users with a high predetermined willingness to invest, in a predetermined balance, based on the results of the evaluation.

2. The information processing system according to claim 1, wherein the transaction matching means preferentially matches the predetermined tickets relating to the predetermined brand to predetermined users with a high willingness to invest as a premium sale, and the premium sale includes, in addition to a method of selling at the regular price, a bidding method in which, if the predetermined tickets are sold in limited quantities, prospective buyers bid any amount, and purchases are confirmed in order of the highest bids until the limited number is reached.

3. The information processing system according to claim 1, wherein the transaction matching means outputs information relating to an offer to sell, lend, exchange, transfer free of charge, or advertise predetermined content relating to the predetermined ticket owned by the predetermined user to other users, in response to a request from the predetermined user, and receives compensation according to the results of such advertising.

4. The information processing system according to claim 3, wherein the transaction matching means controls whether or not to offer the sale, loan, exchange, or free transfer of the predetermined ticket in response to a request from a specific user among the predetermined users who is the originator of the predetermined ticket.

5. The information processing system according to claim 4, further comprising a profit distribution means for distributing a predetermined profit related to the transaction to the specific user in response to the completion of the transaction.

6. The information processing system according to claim 2, wherein the transaction matching means controls the predetermined balance to maximize the predetermined profit related to the transaction, and feeds back the bidding results of the premium sale by the bidding method to the evaluation of predetermined investment intent and the control of the predetermined balance.

7. The information processing system according to claim 1, wherein the transaction matching means outputs information to other users regarding tickets owned by the predetermined user in accordance with predetermined transaction conditions, in response to a request from the predetermined user.

8. An information processing method executed by an information processing device, which manages transactions of predetermined tickets that certify predetermined rights relating to a predetermined brand, comprising: a step of storing predetermined actions of a predetermined user participating in the transaction toward the predetermined brand; a step of evaluating the relationship of the predetermined user toward the predetermined brand according to the predetermined actions, with respect to at least a predetermined degree of preference matching and a predetermined willingness to invest; and a step of preferentially matching the predetermined tickets relating to the predetermined brand with both users with a high degree of preference matching and users with a high predetermined willingness to invest, in a predetermined balance, based on the results of the evaluation.

9. A program for causing a computer that controls an information processing device that manages transactions of predetermined tickets proving predetermined rights relating to a predetermined brand to execute a control process including: storing predetermined actions of predetermined users participating in the transaction toward the predetermined brand; evaluating the user's relationship with the predetermined brand according to the predetermined actions, based on at least a predetermined degree of preference matching and predetermined willingness to invest; and, based on the results of the evaluation, preferentially matching the predetermined tickets relating to the predetermined brand with both users with a high degree of preference matching and users with a high predetermined willingness to invest, in a predetermined balance.

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