JP2021089771A - Open market system, open market provision method and program - Google Patents

Abstract

To provide an open market system, or the like that is highly convenient for users.SOLUTION: An open market system 1 includes: an information collection unit 151 for collecting prediction information indicating developments regarding races predicted by prediction sellers; an input acceptance unit 152 for accepting input of tokens held by prediction purchasers; an information presentation unit 154 for presenting the prediction information collected by the information collection unit 151 and optimal prediction information based on the prediction information to the prediction purchasers who have input the tokens; and an allocation execution unit 155 for allocating to the one or more prediction sellers, the tokens input by the one or more prediction purchasers to the optimal prediction information.SELECTED DRAWING: Figure 2

Description

This disclosure relates to open market systems, open market delivery methods and programs.

Public competitions held by public institutions and allowed to bet include horse racing, bicycle racing, boat racing, and auto racing. In these public competitions, there are prospective sellers who make forecast sales. In addition, a system has been proposed in which forecast sellers sell forecast information via a network.

For example, Patent Document 1 discloses an open market system that mediates expected buying and selling. In this system, the actual data such as the hit rate, collection rate, collection amount, sales amount, etc., which are the expected "actual" of the expected seller (seller), are calculated, and the expected purchase is performed together with the expected information of the expected seller. Provide to the person (buyer).

Japanese Unexamined Patent Publication No. 2011-43916

Patent Document 1 shows that since the server device provides the results calculated by the server device, it is possible to provide the prospective purchaser with information having higher credibility than the results self-reported by the prospective seller. However, in this case, the prospective purchaser can only trust the information provided by the server device, and the transparency and neutrality in the transaction of the forecast information is low. For example, if a server device administrator or a malicious user falsifies information about performance, the prospective purchaser has no way of knowing it. Therefore, the credibility of the information provided is low.

The open market system of Patent Document 1 is expected to be used for public sports such as horse racing and bicycle racing. Therefore, it cannot be applied to general sports such as soccer and baseball, and its versatility is low. For example, in public competitions, the focus is on predicting who is in what number on a first-come, first-served basis. In public competitions, the outcome of the match, how many points will be scored, the difference in points, who will score points (the activity of a specific player), what kind of team formation will be made, etc. are not expected.

By the way, in non-major competitions, the number of predictions may be small, and it is difficult to ensure the accuracy of optimum predictions by conventional analysis methods. Further, when the forecast is sold in large quantities, it is difficult to derive the optimum forecast in real time by the conventional analysis method. In the optimum prediction, it is preferable to show the tendency of the prediction at the time of calculation, and high speed is required. Patent Document 1 does not disclose a method for solving such a problem.

As described above, in the open market system of Patent Document 1, the convenience of the user is low from various viewpoints.

Therefore, in view of such circumstances, the present disclosure aims to provide an open market system or the like that is highly convenient for users.

In order to achieve the above objectives, the open market system according to the first aspect of the present disclosure includes an information gathering unit that collects forecast information indicating the expected development of the competition by the prospective seller, and tokens held by the prospective purchaser. The input reception department that accepts input, the information presentation department that presents the forecast information collected by the information collection department and the optimal forecast information based on the forecast information to the prospective purchaser who inserted the token, and the optimal forecast from one or more prospective purchasers. It is characterized by including a distribution execution unit that distributes tokens input for information to one or more prospective sellers.

In addition, in order to achieve the above objectives, the method of providing the open market according to the second aspect of the present disclosure includes an information gathering step of collecting forecast information indicating the expected development of the competition by the prospective seller, and the prospective purchaser. An input acceptance step that accepts the input of the tokens held, an information presentation step that presents the forecast information collected in the information collection step and the optimum forecast information based on the forecast information to the prospective purchaser who inserted the token, and the forecast of one or more people. It is characterized by including an allocation execution step of allocating tokens input from sellers for optimal forecast information to one or more forecast sellers.

Further, in order to achieve the above object, the program according to the third aspect of the present disclosure is an information collecting means for collecting forecast information indicating the expected development of the competition, and the introduction of tokens held by the prospective purchaser. The input receiving means that accepts the information, the information presenting means that presents the forecast information collected by the information collecting means and the optimum forecast information based on the forecast information to the prospective purchaser who inserted the token, and the optimal forecast information from one or more prospective purchasers. It functions as a distribution execution means for distributing the inserted tokens to one or more prospective sellers.

According to the present disclosure, it is possible to provide an open market system or the like that is highly convenient for users.

It is a figure which shows the structural example of the open market system which concerns on embodiment. It is a block diagram which shows the configuration example of the server apparatus which concerns on embodiment. It is a conceptual diagram which shows the contents of a distributed ledger. It is a flowchart which shows an example of the operation of the server apparatus which concerns on embodiment.

Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. The embodiments described below do not unreasonably limit the contents of the present disclosure described in the claims. Also, not all of the components shown in the embodiments are essential components of the present disclosure.

(Embodiment)
As shown in FIG. 1, the open market system 1 according to the present embodiment includes a server device 100, one or more first communication terminals 200, one or more second communication terminals 300, and blockchain distribution. It includes a network 400. The server device 100, the first communication terminal 200, and the second communication terminal 300 are connected to each other so as to be able to communicate with each other via the network NW. The network NW is, for example, WAN (World Area Network). If necessary, another server device (not shown) used by a related company that handles virtual currency, electronic payment, benefits, live Internet broadcasting, etc. may be connected to the network NW.

The server device 100 is a server device managed by a service provider that provides a public market to users (expected sellers and expected purchasers). The server device 100 receives the token input from the prospective purchaser via the network NW, and provides the forecast purchaser with the forecast information collected from the prospective seller and the optimum forecast information based on them.

In this embodiment, an example in which the server device 100 plays a main role in executing the main processing will be described. However, as will be described later, the function of the server device 100 may be fulfilled by the blockchain distributed network 400. That is, any one or more of the server device 100, the first communication terminal 200, and the second communication terminal 300 included in the open market system 1 performs distributed management on the blockchain distributed network 400, and the functions of the server device 100 are performed. May be realized.

The first communication terminal 200 is a communication terminal used by a prospective seller. The second communication terminal 300 is a communication terminal used by the prospective purchaser. The prospective sellers and prospective buyers are fans of the competition, such as supporters and spectators.

The prospective seller anticipates the development of the competition and sells the forecast. The prospective purchaser uses the token to purchase information about the forecast of the development of the competition. The competitions that are expected to be sold include competitions that bookmakers are betting on, and original competitions that are held by the public market operators themselves. The competition is not limited to athletic competition, and may be a game competition in which intelligence, luck, and operational ability are competed.

If the competition is an obstacle drone race, the expected developments are race ranking, best time, whether a particular player can clear a particular obstacle, or the best time to clear a particular obstacle or run a certain section. , Who will achieve it, ranking at a particular transit point, accidents (breakdowns, collisions) during the competition, etc. The competition and development are not limited to those illustrated here.

The first communication terminal 200 and the second communication terminal 300 have communication functions such as a personal computer, a tablet terminal, a smartphone, a head-mounted display, and VR goggles. In this embodiment, the first communication terminal 200 used by the prospective seller and the second communication terminal 300 used by the prospective purchaser are distinguished. However, these may be communication terminals that enable both expected sales and expected purchases, and may be configured to be usable by both expected sellers and expected purchasers.

Here, depending on the legal system of each country (for example, Japan at present), betting based on direct forecasts may be restricted, so sales of forecast information are for users in areas where betting based on direct forecasts is restricted. However, the purchase of forecast information may be performed by a user in an area where betting by direct forecast is not restricted.

The distributed ledger 410 exists in the blockchain distributed network 400 connected to the network NW. The distributed ledger 410 is managed using blockchain technology.

<Server device configuration>
Hereinafter, the configuration of the server device 100 will be described in detail. As shown in FIG. 2, the server device 100 includes a communication unit 110 that communicates with other devices, a storage unit 120 that stores various data, a timekeeping unit 130 that clocks time, and an input that accepts input by an administrator. A unit 140 and a control unit 150 that controls the entire device are provided. These components are interconnected by a bus line BL.

The communication unit 110 is a communication interface including a NIC (Network Interface Card controller) for performing wired communication or wireless communication. The communication unit 110 communicates with the first communication terminal 200 and the second communication terminal 300 via the network NW.

The storage unit 120 is composed of a RAM (Random Access Memory), a ROM (Read Only Memory), and the like. The storage unit 120 stores programs for executing various control processes, various data, and the like. The open market system 1 may have a configuration in which the storage unit 120 stores the stored data to be stored in the distributed ledger 410, and the first communication terminal 200 and the second communication terminal 300 rewrite the stored data.

The timekeeping unit 130 includes an oscillation circuit for generating a clock signal, a variable PLL (Phase Locked Loop), a counter circuit for counting the number of pulses of the clock signal, and the like. The timekeeping unit 130 measures the time based on the number of pulses to be counted.

The input unit 140 has an interface for receiving input from an administrator, and includes, for example, operation buttons, a keyboard, and the like. The input unit 140 may be configured to accept the input of the administrator by voice recognition. This manager may be a sports person, not a service provider. For example, a sports person may input a result corresponding to the user's expectation while watching the situation of the game.

The control unit 150 is composed of a CPU (Central Processing Unit) and the like. The control unit 150 controls the entire operation of the server device 100 by executing the program stored in the storage unit 120. The control unit 150 executes various controls at a timing based on the number of pulses counted by the timekeeping unit 130. Further, the control unit 150 executes processing such as acquiring a token insertion and forecast information reception time from the user, managing an elapsed time and a deadline time, etc., based on the time measured by the timekeeping unit 130. To do.

Hereinafter, the functional configuration of the control unit 150 will be described. The control unit 150 functions as an information collection unit 151, an input reception unit 152, an information analysis unit 153, an information presentation unit 154, and a distribution execution unit 155. The blockchain distributed network 400 may perform any one or more of these functions instead of the server device 100.

The information gathering unit 151 collects forecast information indicating the development expected by the prospective seller for the competition. Specifically, the information collecting unit 151 receives the forecast information from the first communication terminal 200 via the communication unit 110. The forecast information is stored in the storage unit 120 or the distributed ledger 410.

The input reception unit 152 accepts the purchase of tokens by the expected purchaser and the input of tokens held by the expected purchaser. The input reception unit 152 receives an input instruction from the second communication terminal 300 by a smart contract via the communication unit 110. The token may be a virtual currency on the blockchain that can be divided and exchanged (for example, ERC20 token of Ethereum), or may be simply a point that can be converted from the currency.

Here, a plurality of types of tokens may be used as tokens. Depending on the type of token, the purpose of use may be different, the purpose of use may be the same, or the weighting thereof may be different.

The prospective purchaser who inserts the token can purchase two types of purchases: individual forecast information purchase and optimal forecast information purchase. When the prospective purchaser inserts tokens and purchases individual forecast information, the tokens inserted into the prospective seller of the forecast information move at the time of purchase. At the time of purchase, the token does not move, and the token may move after the fact only when the token movement schedule is confirmed.

On the other hand, when the forecast purchaser purchases the optimal forecast information, after the forecast result is obtained, the forecast information is input based on the accuracy of the forecast information (contribution to the optimal forecast information), the latest past performance ranking, etc. The tokens will be distributed to each of one or more prospective sellers. That is, the tokens inserted in the purchase of the optimum forecast information are pooled until the result of whether the forecast is correct or not is obtained.

All the collected tokens may be distributed to the prospective sellers, or some of them may be distributed to the prospective sellers. For example, some of the collected tokens may be distributed to businesses as a monthly platform usage fee, or to sports personnel (athletes, coaches, managers, sponsors, etc.) related to sports competitions. , The remaining tokens may be distributed to prospective sellers.

The information analysis unit 153 analyzes the collected forecast information and the past performance of the forecast seller who predicted them by machine learning, and generates the optimum forecast information. The optimum forecast information may be a statistical analysis of the entire collected forecast information, or may be an extract of forecast information of a higher-ranked forecast seller with high forecast accuracy. .. In machine learning, it is preferable to use, for example, sparse modeling techniques.

In non-major competitions, the number of forecast information may be small. According to the sparse modeling technique, even when the number of forecast information is small, features can be extracted from the data and analyzed. Therefore, it is easy to secure the accuracy of the optimum prediction. In addition, forecast information may be sold in large quantities. According to the sparse modeling technique, since the analysis is performed from a small amount of data, it is possible to derive the optimum prediction in real time even when the data gradually increases and becomes large.

The information presentation unit 154 presents the forecast information collected by the information collection unit 151 and the optimum forecast information based on the forecast information to the prospective purchaser who has inserted the token into them. In addition, the information presentation unit 154 presents the forecast information input form, the competition information related to the forecast, and the like to the forecast seller. Information is presented by the information presenting unit 154 by transmitting information to the first communication terminal 200 and the second communication terminal 300 via the communication unit 110.

Here, when only the forecast information of the prospective seller is purchased by inserting the token, the prospective purchaser can view the forecast information. In this case, the optimum forecast information may be presented in a non-viewable manner, only a part thereof may be viewable, or may be presented in an abstract state.

On the other hand, when only the optimum forecast information is purchased by inserting the token, the forecast purchaser can view the optimum forecast information. In this case, the forecast information of the prospective seller may be presented in a non-viewable manner, only a part of the forecast information may be presented in a viewable manner, or may be presented in an abstract state. The content of the optimum forecast information may be updated after the purchase, or may be the same as the content at the time of purchase.

The prospective purchaser may purchase both forecast information and optimal forecast information by inserting tokens. In this case, the prospective purchaser can view both of them.

The information presenting unit 154 may present the expected purchaser with the actual information indicating the sales and purchase results of the expected information based on the history information of the token. The token history information may be information based on the blockchain technology. As a result, the transparency and neutrality of the trading record of the forecast information is realized.

The distribution execution unit 155 distributes tokens input from one or more prospective purchasers to the optimal forecast information to each prospective seller. The allocation execution unit 155 distributes tokens to the expected seller according to the sales performance or the success / failure performance of the forecast information of the forecast seller. The token distribution record may be disclosed based on the blockchain technology. As a result, the transparency and neutrality of the token distribution method are realized.

The allocation execution unit 155 may allocate tokens to the expected seller based on the prediction accuracy calculated from the hit / fail result of the latest past forecast information of the expected seller. For example, the token may be distributed only to the expected sellers who are in the predetermined number of high rankings, or the token may be distributed as a dividend proportional to the expected accuracy.

The example in which the server device 100 plays a main role in executing the main processing has been described above. Here, the distributed ledger 410 in the case of performing distributed management on the blockchain distributed network 400 will be described below. FIG. 3 is a conceptual diagram showing the contents of the distributed ledger.

The distributed ledger contains entities and transactions. An entity represents multiple pieces of data, and a transaction is information that indicates an operation on those pieces of data. All entity acquisitions and transactions are implemented as smart contracts on the blockchain. It is preferable that the information analysis unit 153 for generating the optimum prediction information is provided on the server device 100, not on the blockchain distributed network 400.

Each entity is basically composed of a minimum amount of data such as identifiers and time stamps, and the relationships between identifiers and data such as matches, tactics, forecasts, and results for forecasts are held on the blockchain. Will be done. In the relationship between identifiers, teams and players who participated in competitions, leagues, and games are associated in a hierarchical structure.

Outside the blockchain, information set by the operator such as player name, team name, profile, event name, venue, numerical data such as points, win / loss, win rate, team icon, player photo, etc. The data is retained as sports data. These are input to the server device 100 by the administrator or the market operator and stored in the server device 100, for example.

On the blockchain, there are entities for which tokens are to be moved and transactions that involve the movement of tokens between each entity. Entities are, for example, hierarchical data of sports, leagues, teams, players, etc., results for matches, tactics, expectations and expectations, roles of each user (affiliation to a specific team, authority in a team), and user status. (For example, the holding status of tokens) and.

Transactions include, for example, viewing of sports data by users (expected sellers and prospective purchasers) and sports personnel, token insertion by users, purchase of forecast information and sales of forecast information by users, and purchase of forecast information. There is a token transfer accompanying the sale. In addition, transactions include match management by the organizer (market operator), registration of match results (result reflection), forecast evaluation based on the result reflection, and token distribution based on the results.

<Processing flow>
Hereinafter, an example of the operation of the open market system 1 will be described with reference to FIG. Prior to this operation, the manager or the market operator provides the server device 100 or the distributed ledger 410 with information such as a list information of the scheduled games, options indicating the expected development, and an input form of the forecast information. It is assumed that you are registered in. In addition, the following explanation assumes that the prospective purchaser has purchased and held tokens in advance.

Further, in this operation, the server device 100 may be the execution subject, or the blockchain distributed network 400 may be the execution subject. The operation contents will be described below, with the execution subject including both as the open market system 1.

First, the open market system 1 collects forecast information indicating the development expected by the prospective seller for the competition (step S101). Specifically, the open market system 1 presents the information necessary for the forecast and the input form for inputting the forecast information to the second communication terminal 200 used by the forecast seller. The open market system 1 collects forecast information input by the forecast seller from the second communication terminal 200. The open market system 1 analyzes the collected forecast information and the past performance of those forecast sellers by machine learning to generate the optimum forecast information.

The open market system 1 accepts the input of tokens held by the prospective purchaser (step S102). The open market system 1 accepts the token insertion by receiving the insertion instruction from the second communication terminal 300.

Token insertion is the movement of tokens on the blockchain (smart contract). The prospective purchaser inserts tokens when purchasing forecast information or optimal forecast information. At the time of purchase, a list of forecast information and information on the optimum forecast information are presented to the second communication terminal 300. At this time, based on the token history information, performance information indicating the sales and purchase results of the forecast information may be presented.

The token is transferred from the expected purchaser who purchased the forecast information to the expected seller who purchased the forecast information. The tokens inserted in the purchase of optimal forecast information are pooled.

The open market system 1 presents forecast information and / or information of optimal forecast information (step S103). Specifically, the open market system 1 presents the purchased forecast information among the collected forecast information to the second communication terminal 300 used by the forecast purchaser who has inserted the token. Further, the open market system 1 presents the optimum forecast information based on the purchased forecast information to the second communication terminal 300 used by the prospective purchaser who has inserted the token.

After the result for the forecast is obtained, the open market system 1 is input to the optimum forecast information from one or more forecast sellers, and the pooled tokens are distributed to one or more prospect sellers (step S104). .. The tokens may be distributed according to the sales performance or the success / failure performance of the forecast information of the forecast seller, or may be allocated based on the forecast accuracy calculated from the success / failure performance of the forecast information of the forecast seller in the latest past. Good.

<Explanation of effect>
According to the open market system 1 according to the present embodiment, the expected purchaser is presented with the actual information of the expected seller. Since this performance information is based on the token history information (blockchain), it is highly transparent and neutral. Therefore, the credibility of the information provided to the prospective purchaser is high.

According to the open market system 1 according to the present embodiment, the expected targets are the outcome of the game, how many points will be scored, the difference in points, who will score points (the activity of a specific player), and what kind of team formation will be. It is the development of the team. Therefore, the open market system 1 is applicable not only to public sports but also to general sports such as soccer and baseball, and is highly versatile.

The optimal forecast information provided by the open market system 1 is machine learning of the characteristics of the collected forecast information and the past performance of the forecast seller who predicted it, and sparse modeling technology is used for machine learning. .. Therefore, it is possible to derive the optimum prediction at high speed regardless of the number of predictions, and the accuracy can be improved.

As described above, the open market system is highly convenient for users from various viewpoints.

The description of the embodiment is completed above, but the above embodiment is only an example. Therefore, the specific configuration of the open market system 1, the content of processing, and the like are not limited to those described in the above embodiment.

Further, the open market system 1 according to the present disclosure may realize its function by, for example, executing a program by a computer, regardless of the above-mentioned device. The programs for realizing the functions of the open market system 1 are computers such as USB (Universal Serial Bus) memory, CD-ROM (Compact Disc-Read Only Memory), DVD (Digital Versatile Disc), and HDD (Hard Disc Drive). It may be stored on a readable recording medium or downloaded to a computer via a network.

Although the preferred embodiments of the present disclosure have been described above, the present disclosure is not limited to such specific embodiments, and the present disclosure includes the inventions described in the claims and the equivalent scope thereof. Is done. Further, the configurations of the devices described in the above-described embodiments and modifications can be appropriately combined as long as there is no technical contradiction.

1 ... Open market system, 100 ... Server device, 200 ... First communication terminal, 300 ... Second communication terminal, 110 ... Communication unit, 120 ... Storage unit, 130 ... Measuring unit, 140 ... Input unit, 150 ... Control Department, 151 ... Information collection department, 152 ... Input reception department, 153 ... Information analysis department, 154 ... Information presentation department, 155 ... Distribution execution department, 400 ... Blockchain distributed network, 410 ... Distributed ledger

Claims (7)

An information gathering department that collects forecast information that shows the expected development of the forecast seller about the competition,
The input reception department that accepts the input of tokens held by prospective purchasers,
An information presentation unit that presents the forecast information collected by the information collection unit and the optimum forecast information based on the forecast information to the forecast purchaser who has inserted the token.
An allocation execution unit that distributes the tokens input from one or more forecast purchasers to the optimal forecast information to one or more forecast sellers.
An open market system characterized by being equipped with. The optimum forecast information is the result of analyzing the collected forecast information and the past performance of the forecast seller by machine learning.
The open market system according to claim 1. Based on the history information of the token, the information presenting unit presents the expected purchaser with the actual information indicating the sales and purchase results of the expected information.
The open market system according to claim 1 or 2. The allocation execution unit allocates the token to the expected seller according to the sales record or the hit / fail record of the forecast information of the forecast seller.
The open market system according to any one of claims 1 to 3, wherein the open market system is characterized in that. The allocation execution unit allocates the token to the expected seller based on the prediction accuracy calculated from the hit / fail result of the forecast information in the latest past of the forecast seller.
The open market system according to any one of claims 1 to 3, wherein the open market system is characterized in that. An information gathering step that collects forecast information that shows the expected development of the prospective seller about the competition,
An input acceptance step that accepts the input of tokens held by the prospective purchaser,
An information presentation step of presenting the forecast information collected in the information gathering step and the optimum forecast information based on the forecast information to the forecast purchaser who has inserted the token.
An allocation execution step of allocating the tokens input from one or more forecast sellers to the optimal forecast information to one or more forecast sellers, and
A method of providing an open market characterized by including. Computer,
An information gathering means that collects forecast information that shows the expected development of the prospective seller about the competition.
An input reception means that accepts the input of tokens held by prospective purchasers,
An information presenting means that presents the forecast information collected by the information collecting means and the optimum forecast information based on the forecast information to the forecast purchaser who has inserted the token.
An allocation execution means for allocating the tokens input from one or more expected purchasers to the optimal forecast information to one or more expected sellers.
A program that functions as.

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