JP6214021B1 - Issuing apparatus, issuing method and issuing program - Google Patents

Abstract

To attract more users. An issuing device according to the present application includes an acquisition unit, an estimation unit, and an issuing unit. The acquisition unit acquires information related to the event participation status. Based on the information acquired by the acquisition unit, the estimation unit estimates the number of rights to participate in a predetermined event that are actually exercised when the predetermined event is held. The issuing unit issues a new right to participate in a predetermined event based on the number estimated by the estimating unit. [Selection] Figure 1

Description

  The present invention relates to an issuing device, an issuing method, and an issuing program.

  In events that attract tens of thousands of people (such as outdoor festivals, concerts, and expositions), it is common to sell tickets in advance and recruit visitors. For example, an entertainer sets a sales period and tries to sell as many tickets as possible before the event is held.

  As a technique related to such an event, a method of selling a ticket that meets a user's needs is known. In addition, based on the relationship between purchasers who have not entered the venue at the specified time on the day of the event and the time it takes for the purchaser to reach the venue, the advance ticket held by the purchaser will be treated as a cancellation. The same day ticket issuing system for issuing same day tickets is known.

JP 2002-197225 A JP 2006-293655 A

  However, with the above-described conventional technology, it is not always possible to attract more users. For example, according to the prior art, advance ticket sales can be performed efficiently, or the ticket assignment of the user who arrives late on the day can be turned to the day ticket. However, in the event, there are a certain number of users who are unable to visit for various reasons other than being late, or who are refused admission to use illegal tickets (for example, counterfeit tickets or resale tickets). Thus, users who satisfy the venue are not necessarily attracted. For this reason, there is a risk that the performance owner will lose the ticket cost of the event and the profit (product sales) obtained from the user at the event.

  The present application has been made in view of the above, and an object thereof is to provide an issuing device, an issuing method, and an issuing program that can attract more users.

  The issuing device according to the present application includes an acquisition unit that acquires information about an event participation status, and a right to participate in a predetermined event based on the information acquired by the acquisition unit, and is actual when a predetermined event is held. And an estimator for estimating the number of rights exercised by the estimator, and an issuer for newly issuing a right to participate in the predetermined event based on the number estimated by the estimator. To do.

  According to one aspect of the embodiment, there is an effect that more users can be attracted.

FIG. 1 is a diagram illustrating an example of issuance processing according to the embodiment. FIG. 2 is a diagram illustrating a configuration example of the issue processing system according to the embodiment. FIG. 3 is a diagram illustrating a configuration example of the issuing device according to the embodiment. FIG. 4 is a diagram illustrating an example of the list storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of an event table according to the embodiment. FIG. 6 is a diagram illustrating an example of a participation status table according to the embodiment. FIG. 7 is a diagram illustrating an example of a model table according to the embodiment. FIG. 8 is a diagram for explaining the issuing process according to the embodiment. FIG. 9 is a flowchart illustrating a processing procedure according to the embodiment. FIG. 10 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the issuing device.

  Hereinafter, an embodiment for executing an issuing device, an issuing method, and an issuing program according to the present application (hereinafter referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the issuing device, the issuing method, and the issuing program according to the present application are not limited by this embodiment. In addition, the embodiments can be appropriately combined within a range that does not contradict processing contents. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

[1. Example of issuance process)
First, an example of the issuing process according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of issuance processing according to the embodiment. In FIG. 1, the issuing device 100 according to the present application has the right to participate in a predetermined event based on information regarding the participation status of various events, and the number of rights actually exercised when the predetermined event is held. An example is shown in which a process of newly issuing a right to participate in the predetermined event is executed based on the estimated number.

  An issuing device 100 illustrated in FIG. 1 is a server device that executes an issuing process for newly issuing a right to participate in a predetermined event. In the embodiment, an event such as an outdoor festival that attracts tens of thousands of users is taken as an example of the predetermined event. In the embodiment, the right to participate in a predetermined event is, for example, the right to enter an event venue, and is embodied by a ticket or the like. In the embodiment, the right actually exercised at the time of holding a predetermined event refers to, for example, a ticket used for the user to enter the event venue at the time of holding the event. That is, the number of rights actually exercised when a predetermined event is held is the number of tickets presented and used at the event venue. In other words, the number of rights that are not actually exercised at the time of a given event is the number of tickets that were issued (sold to users) but were not actually used. .

  In the embodiment, the ticket is a paper medium on which information related to an event is printed, but the ticket may be electronic data. Further, identification information (for example, an identifier such as a barcode) is embedded in the ticket according to the embodiment, and the identification information is read by a predetermined device (for example, a barcode reader) installed in the event venue, It is assumed that the ticket is authentic. In addition, through such ticket authentication at the venue, the organizer and the issuing device 100 can acquire the situation in which the ticket is used (that is, the participation situation in the event) in real time. In addition, since the ticket is issued by adding the information of the user who purchased the ticket to the identification information after the user applies for purchase, the ticket can include information on the purchased user.

  A user terminal 10 shown in FIG. 1 is an information processing terminal used by a user. The user terminal 10 is, for example, a smartphone or a tablet terminal. The user terminal 10 uses a service on the network in accordance with a user operation. For example, the user terminal 10 accesses a ticket sales site, makes an inquiry about a ticket, and makes a purchase application for a ticket. In addition, the user terminal 10 transmits various requests to the issuing device 100 and receives information provided from the issuing device 100. In the embodiment, the user terminal 10 may be read as a user. For example, the description “the user accesses the issuing device 100” may actually indicate the situation “the user terminal 10 operated by the user accesses the issuing device 100”. Moreover, in the example of FIG. 1, the user terminal 10 shall be operated by the user U01 which is an example of a user.

  The issuance apparatus 100 shown in FIG. 1 is managed by, for example, an entertainer who holds an event, an operator that sells tickets on behalf of the entertainer, or the like. For example, the issuing device 100 issues a right to participate in an event in the form of a ticket. The exhibitor sells the issued ticket to the user. Generally, in events such as concerts, tickets are sold in advance before the date of the event. Therefore, the ticket has already passed to the user who wants to participate in the event before the event is held, or the user has the right to receive the ticket (waiting for ticketing).

  Here, the ticket for such an event may be unused for various reasons. For example, there is a user who does not participate in an event even though he / she has purchased a ticket because he / she is scheduled to participate in the event but becomes inconvenient or loses interest in the event. In addition, resale of event tickets may be prohibited based on rules (policies) on the part of the entertainer. Tickets identified as being resold are revoked by, for example, the entertainer. In other words, even if the user has a resold ticket, the user cannot participate in the event. In such a case, the resold ticket (that is, the right associated with the resold ticket) is not used.

  Furthermore, in a large-scale event, a malicious counterfeit ticket is issued by a malicious person, and a counterfeit ticket may be circulated. Such a ticket is determined to be a forged ticket at the event venue, for example, because the identification information described above is inappropriate. Since a right in a counterfeit ticket is not originally generated, it is different from an unused ticket. However, for example, a user who comes with a counterfeit ticket cannot enter the event venue, which causes a disadvantage. Further, even if a user who came with a counterfeit ticket tries to purchase a ticket at the event venue, it cannot be newly purchased if the ticket has already been sold out. In this case, the user cannot participate in the event even though he has visited the event venue.

  By the way, in such an event, not only the ticket fee to participate in the event, but also sales can be made by eating and drinking in the venue and merchandise sales, etc., so many users can participate in the event alone However, improvement of profit can be expected. However, the occurrence of an unused ticket such as the above may cause the box owner to lose profits that would have been obtained from ticket charges, food and beverage charges, merchandise sales, and the like. In addition, even if an entertainer tries to encourage the visit of many users by issuing a day ticket, for example, if the ticket has already been sold, the day ticket cannot be issued in the first place. Further, even if the unused ticket is turned to the same day ticket, the user who wants to purchase a new ticket does not always exist near the event venue when the unused ticket is found. For this reason, even if it is known that an unused ticket is generated at a certain rate, it is difficult for the performance owner to attract users for the generated unused ticket.

  Therefore, the issuing device 100 according to the embodiment attracts more users by executing an issuing process described below. That is, the issuing device 100 creates an opportunity for more users to participate in the event by performing the issuing process according to the embodiment. Hereinafter, an example of the issuing process performed by the issuing device 100 will be described along the flow with reference to FIG.

  In the example shown in FIG. 1, the user U01 is a user who wishes to participate in a predetermined event XXX. In the example of FIG. 1, it is assumed that the user U01 tried to purchase a ticket for the event XXX but could not purchase the ticket because the ticket was sold out. Note that the event XXX is an outdoor festival held over three consecutive days (in the example of FIG. 1, three days on February 10, February 11, and February 12). For example, it is assumed that the user U01 desires a ticket for participating in the event XXX on February 12, the third day of the event.

  In this case, the user U01 operates the user terminal 10 to access the issuing device 100. For example, the user U01 registers waiting for cancellation related to the event XXX in a predetermined service (for example, a website) provided by the issuing device 100 (step S11). In the embodiment, the registration waiting for cancellation is registration performed in order to receive provision of an opportunity to purchase a ticket when a ticket for participating in the event XXX is newly issued by the issuing device 100.

  As a process for issuing a new ticket at event XXX, the issuing device 100 first acquires the participation status of various events (step S12). For example, the issuing device 100 acquires the participation situation on February 10th of the event XXX and the participation situation on February 11th of the event XXX as various events. Note that the issuing device 100 may acquire the participation status of past events other than the event XXX as an event for acquiring the participation status.

  In the embodiment, the participation status refers to the number and rate of ticketing at the event (the ticket has been authenticated (used) at the event venue), the timing of ticketing, the peak time of ticketing, and the event It includes the final number of tickets received, the final ticketing rate, the number of unused tickets, the rate, etc. at the end. Further, in the embodiment, the information acquired by the issuing device 100 may include not only the participation status due to the use of a ticket, but also information such as the weather and temperature on the day of the event. Further, the information acquired by the issuing device 100 may include information on the scale (capacity) of the event and performers.

  For example, the issuing device 100 acquires the participation status of the event XXX on February 10 and February 11. As illustrated in FIG. 1, the issuing device 100 acquires that the weather was “rain” in the event XXX on February 10th. The issuing device 100 still participates in the event because the ticketing rate was “94%” in the event XXX on February 10, although the sales rate was “100%”. Information indicating that the surplus frame (in other words, the number of unused tickets), which is a frame that can be obtained, is “1500”. In addition, the issuing device 100 acquires information that the peak number of visitors on February 10 was “16:00”. In addition, the issuing device 100 acquires information regarding the transition of the number of visitors on February 10. For example, as illustrated in a graph 50 in FIG. 1, the issuing device 100 acquires information regarding the number of visitors per hour. The surplus space is not limited to the number of users who did not visit, but may include, for example, the number of tickets that have expired due to the use of tickets related to fraudulent transactions such as resale.

  Similarly, in the event XXX on February 11, the issuing device 100 acquires information that the weather was “sunny”. Further, in the event XXX on February 11, the issuing device 100 has a ticketing rate of “96%” and a surplus limit of “1000” even though the sales rate was “100%”. Get information that In addition, the issuing device 100 acquires information that the peak number of visitors on February 11 was “15:00”.

  The issuing device 100 also acquires the participation status in real time even on the event day of February 12. For example, as shown in the graph 50, the issuing device 100 is assumed to continue acquiring the number of visitors per hour (number of tickets received) and the number of visitors even on February 12.

  And the issuing apparatus 100 performs the process which estimates the number of visitors in the event XXX on February 12 based on the participation situation on the day of February 12, the past event participation situation, etc. at a predetermined timing. (Step S13).

  For example, the issuing device 100 compares and compares the participation situation on February 10 and February 11 with the participation situation on February 12. Then, the issuing device 100 generates a learning model for estimating the participation situation (for example, the number of tickets actually assumed to be used in the venue) on February 12, and uses the model to visit the visitors. Perform number estimation processing. As the features used for generating the model, various information such as the above-described event participation status, the scale of the event, the weather at the time of the event, and the performers of the event may be used. Details of the estimation process will be described later.

  For example, the issuing device 100 predicted the number of visitors after 16:00 on February 12 based on the participation situation on February 10 and February 11 at 16:00 on February 12. Shall. If the issuing device 100 has a number of visitors after 16:00 on February 12 (shown by a dotted line in the graph 50 in FIG. 1), it is almost the same as the number of visitors on February 10 and February 11. Assume that it will be a transition.

  And the issuing apparatus 100 performs the process which adds the new frame in the event XXX on February 12 based on the estimated number of visitors (step S14). If the issuing apparatus 100 estimates that the surplus frame in the event XXX on February 12 is “1250”, the issuance apparatus 100 sets the frame to be newly added in the event XXX on February 12 as “1250”. That is, the issuing device 100 newly has the right to participate in the event XXX on February 12 so that “1250” people can newly participate in the event XXX on February 12 after 16:00 on February 12. Issue.

  Then, the issuing device 100 provides the user U01 who has registered for waiting for cancellation in advance a purchase opportunity for the added new frame (step S15). For example, the issuing device 100 notifies the user terminal 10 and notifies that a new frame has been added at the event XXX on February 12. Then, the issuing device 100 transmits, for example, a page for accepting ticket purchase to the user terminal 10. When the user U01 purchases the ticket of the frame added at the event XXX on February 12, the user U01 transmits that fact to the issuing device 100.

  In the above example, the issue device 100 adds a new frame at 16:00 on February 12. However, the issue device 100 may add a new frame earlier. Good. For example, the issuing device 100 may predict a new frame on February 12 at the end of the event XXX on February 11, and provide the user U01 with a purchase opportunity for the new frame.

  As described above, the issuing device 100 according to the embodiment acquires information regarding the event participation status. Then, the issuing device 100 estimates the number of rights to participate in a predetermined event, which are actually exercised when the predetermined event is held, based on the acquired information. Furthermore, the issuing device 100 issues a new right to participate in a predetermined event based on the estimated number.

  That is, the issuing device 100 determines the number of rights exercised in a predetermined event (in other words, based on the participation status in a past event, the current day's attendance status in a predetermined event (event to be processed), etc. Estimate the number of visitors). And the issuing apparatus 100 issues the right for an additional frame to a predetermined event based on the estimated number. Thereby, the issuing apparatus 100 can increase the number of users who can participate in a predetermined event. That is, the issuing device 100 predicts the number of tickets that are not exercised in the event even after the ticket has been sold out or even if the ticket is sold out, and provides that amount as an additional frame. It is possible to give more users the opportunity to participate in the event than they had been. Further, the issuing device 100 can shorten the period during which the ticket cannot be sold by adjusting the timing for estimating the number of actually exercised rights. For example, the issuing device 100 performs an estimation process immediately after a ticket is sold out, and sells a new ticket to a user who has waited for cancellation immediately after the advance ticket is sold out or the ticket is sold out. Etc. are possible. In this way, the issuing device 100 enables seamless ticket sales that are not limited by the conventional ticket sales period. As a result, the issuing device 100 can provide ticket purchase opportunities to more users, and thus can attract more users. Hereinafter, the configuration and the like of the issuing device 100 that performs such processing and the issuing processing system 1 including the issuing device 100 will be described in detail.

[2. Issuing system configuration]
Next, the configuration of the issue processing system 1 including the issue device 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating a configuration example of the issue processing system 1 according to the embodiment. As illustrated in FIG. 2, the issuing processing system 1 according to the embodiment includes a user terminal 10, a box office terminal 20, and an issuing device 100. These various devices are communicably connected via a network N by wire or wireless. Note that the issuance processing system 1 shown in FIG. 2 may include a plurality of user terminals 10 and a plurality of entertainer terminals 20.

  The user terminal 10 is, for example, an information processing apparatus such as a smartphone, a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a mobile phone, a PDA (Personal Digital Assistant), or a wearable device. It is. For example, the user terminal 10 accesses the issuing device 100 according to an operation by the user, and transmits a request for registration for waiting for ticket cancellation.

  The box office terminal 20 is an information processing terminal used by the box office of the event. For example, the box office terminal 20 is an information processing apparatus such as a desktop PC or a notebook PC. The entertainment terminal 20 has, for example, a function of reading an identifier printed on a ticket, and performs a process of authenticating the ticket at the event venue.

  For example, the entertainer terminal 20 determines whether or not the ticket matches the event venue and the event content based on the identifier printed on the ticket. Then, if the ticket and the event are matched, the show host terminal 20 authenticates the ticket and records the ticket arrival. Moreover, the entertainment terminal 20 may read the information regarding the purchaser of a ticket, when purchaser information is contained in an identifier. For example, when a user purchases a ticket at a ticket sales site or the like, the user inputs his / her user information (for example, name, sex, age, etc.). In this case, when a ticket is issued, an identifier including user information is printed on the ticket. The entertainment terminal 20 can identify the user who purchased the ticket by reading such an identifier. For example, if it is determined that the user who purchased the ticket is different from the user who actually visited the event venue, the entertainment terminal 20 may issue a predetermined warning (for example, purchase the ticket). For example, the user who brought the ticket to the event venue is a man even though the user who made it is a woman).

  In addition, when the ticket terminal terminal 20 authenticates the ticket at the event venue, it transmits information on the authenticated ticket to the issuing device 100. The entertainment terminal 20 may transmit information such as the number and rate of tickets that have been ticketed so far and the transition of the tickets to the issuing device 100. In addition, the entertainment terminal 20 may transmit to the issuing device 100 the number of tickets that have become invalid (for example, the number of tickets related to resale), the number of counterfeit tickets, and the like.

  The box office terminal 20 is not necessarily limited to an information processing apparatus such as a desktop PC or a notebook PC. For example, a form such as a bar code reader or an entrance gate having a function for identifying a ticket is used. It may be. Further, when the ticket is electronic data, the box office terminal 20 may adopt a method of electronically reading the ticket identifier. For example, the box office terminal 20 may receive ticket information held in the user terminal 10 by a predetermined wireless communication method, and read the ticket identifier from the received data.

  The issuing device 100 estimates the number of rights to participate in a predetermined event based on information related to the participation status of the event and is actually exercised at the time of the predetermined event, and based on the estimated number A server device that performs processing for newly issuing a right to participate in a predetermined event.

  Note that the issuing device 100 according to the embodiment may also function as a server that provides a site that sells tickets, a site for registering cancellation waiting for a predetermined event, and the like. That is, the issuing device 100 may also function as a server (for example, a web server) that provides a predetermined service.

[3. Configuration of issuing device]
Next, the configuration of the issuing device 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating a configuration example of the issuing device 100 according to the embodiment. As illustrated in FIG. 3, the issuing device 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The issuing device 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator who uses the issuing device 100, and a display unit (for example, a liquid crystal display) that displays various types of information. You may have.

(About the communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card). The communication unit 110 is connected to the network N in a wired or wireless manner, and transmits / receives information to / from the user terminal 10 and the entertainer terminal 20 via the network N.

(About the storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. As illustrated in FIG. 3, the storage unit 120 includes a list storage unit 121 and an event information storage unit 122.

(About the list storage unit 121)
The list storage unit 121 stores information related to a list for registering users. Here, FIG. 4 shows an example of the list storage unit 121 according to the embodiment. FIG. 4 is a diagram illustrating an example of the list storage unit 121 according to the embodiment. In the example illustrated in FIG. 4, the list storage unit 121 includes items such as “list ID”, “event ID”, and “cancel list”. The cancellation waiting list has small items such as “order”, “user ID”, and “notification”.

  “List ID” indicates identification information for identifying a list. In the embodiment, the identification information such as the list ID is common to the reference numerals used in the description. For example, a list whose list ID is “L03” may be referred to as “list L03”. “Event ID” indicates identification information for identifying an event.

  “Cancellation waiting list” indicates various information stored in the waiting list for cancellation. “Rank” indicates the rank in the list. “User ID” indicates identification information for identifying a user.

  “Notification” indicates result information indicating whether or not notification has been given to the user. For example, if the notification item is “1”, it indicates that the user has already been notified. Further, if the notification item is “0”, it indicates that the user has not been notified yet. When the list is a list related to waiting for cancellation, the notification is, for example, a notification indicating that the user waiting for cancellation is given an opportunity to purchase an additional frame. For example, when the notifying user sends a reply indicating that the ticket is to be purchased, or when there is no response from the notifying user for a predetermined time, the issuing device 100 notifies the next ranking user.

  That is, the example of the data illustrated in FIG. 4 indicates that the list L03 identified by the list ID “L03” is a cancellation waiting list related to the event E03 identified by the event ID “E03”. In addition, as information regarding the waiting list for cancellation, for example, a user whose rank is “1” is a user U01 identified by a user ID “U01”, and a user whose rank is “2” is identified by a user ID “U02”. This indicates that the user is a user U02. Further, it is shown that the notification has already been performed for the user U01 to the user U03, and the notification has not yet been performed for the user U04 and the user U05.

(About the event information storage unit 122)
The event information storage unit 122 stores information regarding events, information regarding event tickets, and information regarding frames added to events. As shown in FIG. 3, the event information storage unit 122 includes an event table 123, a participation situation table 124, and a model table 125 as data tables. Hereinafter, each data table will be described in order.

(About event table 123)
The event table 123 stores information related to events. Here, FIG. 5 shows an example of the event table 123 according to the embodiment. FIG. 5 is a diagram illustrating an example of the event table 123 according to the embodiment. In the example shown in FIG. 5, the event table 123 includes “event ID”, “event name”, “category”, “date and time”, “venue”, “venue”, “holding scale”, and “sales rate”. , And “surplus ratio”.

  “Event ID” indicates identification information for identifying an event. “Event name” indicates the name of the event. “Category” indicates the category to which the event belongs. For example, the category indicates the type of event such as a concert, a stage performance, a musical, or an outdoor festival. Although illustration in FIG. 5 is omitted, a category classified according to not only the type of event but also the scale of the event may be further set in the category. For example, the issuing device 100 sets an event of a size that mobilizes 10,000 or more people to “Large”, an event of a size that mobilizes 2,000 or less people to “Small”, and an event belonging to the size between them is You may make it categorize in "a scale."

  “Date and time” indicates the date and time when the event is held. Although not shown in FIG. 5, the opening date and time includes the time at which entrance starts at the event (that is, the time when ticket acceptance starts) and the time when ticket sales end at the event (for example, event For example, 30 minutes before the end of) may be included.

  “Venue” indicates the name of the place where the event is held. “Venue” indicates the name of the venue where the event is held. “Holding scale” indicates a holding scale of the event (for example, a capacity in the event). “Sales ratio” indicates the ratio of tickets currently sold to the scale of the event. The “surplus ratio” indicates the ratio of the remaining frame (in other words, unsold tickets) with respect to the scale of the event.

  That is, in the example of the data illustrated in FIG. 5, the event name in the event E01 identified by the event ID “E01” is “XXX”, the category is “outdoor festival”, and the date and time of the event is “February 2017”. 10th 9: 00 to 22:00, the venue is "Tokyo", the venue is "YYY", the venue is "25,000 people", and the sales rate is "100%" This indicates that the surplus rate at the present time is “0”.

(About participation status table 124)
The participation situation table 124 stores the participation situation in each event. Here, FIG. 6 shows an example of the participation status table 124 according to the embodiment. FIG. 6 is a diagram illustrating an example of the participation status table 124 according to the embodiment. In the example illustrated in FIG. 6, the participation status table 124 includes items such as “event ID”, “number of pre-sales”, “participation status”, and “result information”. The participation status has small items such as “time”, “number of tickets received per hour”, “ticketing rate per hour”, “weather”, and “performer”. In addition, the result information has small items such as “final ticketing rate”, “final ticketing number”, and “unused number”.

  “Event ID” corresponds to the same item shown in FIG. “Pre-sale number” indicates the number of tickets that have already been sold before the event date.

  “Participation status” indicates the status of participation in the event. “Time” indicates the time when the ticket is authenticated by the entertainment terminal 20. That is, the time indicates the time when the user enters the event venue. In the embodiment, the time is divided, for example, every hour, and the number of tickets received is counted.

  “Number of tickets received per hour” indicates the number of tickets that are ticketed per hour by the predetermined time. The “hourly ticketing rate” indicates the rate of ticketing per hour with respect to the number of advance sales. “Weather” indicates the weather for each hour. “Performer” indicates a performer who has appeared in the event during the counting time.

  “Result information” indicates the result information of the participation status after the end of the event. “Final ticketing rate” indicates the rate of ticketing at the time when the event ends. The “last ticket number” indicates the number of ticket tickets at the time when the event ends. The “unused number” indicates the number of tickets that have been unused among tickets sold in advance at the time of the end of the event. Note that the number of unused tickets may include, for example, the number of tickets that have been refused entry at the event venue (for example, due to reselling tickets).

  That is, the example of the data illustrated in FIG. 6 indicates that the number of tickets sold in advance at the event E01 identified by the event ID “E01” is “25000”. In addition, as the participation status of the event E01, the number of tickets received at “9 o'clock” is “0” (the result is immediately after the tickets are counted and the number of tickets received is recorded). The hourly ticketing rate is “0.0%”, the weather is “rainy”, and the performer of the event E01 at 9 o'clock is “aaa”. In addition, the number of tickets received at the event E01 at “10 o'clock” is “980”, the ticketing rate per hour is “3.9%”, the weather is “rain”, and the time is 10:00. It is shown that the performer of the event E01 at “bbb”. Further, as the result information of the event E01, the final ticketing rate is “94%”, the final ticketing number is “23500”, and the unused number is “1500”.

  As another example, the number of tickets sold in advance at the event E03 identified by the event ID “E03” is “25000”. In the example shown in FIG. 6, it is assumed that the event E03 is being held and the data after 16:00 is not aggregated. For example, as the participation status of the event E03, the number of tickets received at “15:00” (that is, the number of tickets received from 14:00 to 15:00) is “2900”, and the ticketing rate per hour is “11. “6%”, the weather is “sunny”, and the performer of the event E03 at 15:00 is “ddd”. In the event E03, the number of tickets received at “16:00” is “3100”, the ticketing rate per hour is “12.4%”, the weather is “clear”, and the time is 16:00. It is shown that the performer of the event E03 at “eeee” is “eeee”. In the example illustrated in FIG. 6, the issuing device 100 acquires and holds the participation status of the event E03 in real time even after 16:00. In the example of FIG. 6, since the event E03 is before the end, the result information is not stored.

(About the model table 125)
The model table 125 stores information on a model for predicting an additional frame in each event. Here, FIG. 7 shows an example of the model table 125 according to the embodiment. FIG. 7 is a diagram illustrating an example of the model table 125 according to the embodiment. In the example illustrated in FIG. 7, the model table 125 includes items such as “model ID”, “learning data”, and “data example”. In addition, the data example includes small items such as “event ID”, “input data”, and “additional frame”.

  “Model ID” indicates identification information for identifying a model. In the model shown in FIG. 7, for example, the number of unused tickets (surplus) in past events is used as correct data, and various data in the event (the size of the event, the number of advance sales, the number of final tickets received, the venue, the performers) , Weather, etc.). In this case, when information related to an event to be processed is input, the unused number (surplus frame) predicted in the event is output. Note that the issuing device 100 may generate a model for each event category or each event scale, for example.

  “Learning data” indicates learning data used for learning the model. In the example shown in FIG. 7, the learning data is represented by a concept such as “B01”. Actually, however, the learning data items include, for example, the participation status in the past event, result information, and the like. included. Further, the learning data may include information on weather, past performers, venues, access information to the venues, venues, etc. in past events. That is, the learning data may include any information as long as it can be a feature (explanatory variable) used for generating the model.

  “Data example” indicates information that is input and information that is output when the model is actually used. “Event ID” corresponds to the same item shown in FIG. “Input data” indicates data input to the model. In the example shown in FIG. 7, the input data is represented by a concept such as “F03”. Actually, however, the input data item includes, for example, the current arrival at the event E03 to be processed. Various data corresponding to the features used when the model is generated, such as the number of tickets, the ticketing rate, the weather, the performers, the number of pre-sales, the holding scale, and the event venue, are included.

  “Additional frame” indicates the number of additional frames to the event to be processed. For example, the additional frame is calculated based on an index value that is output when input data is input to the model.

  That is, the example of the data illustrated in FIG. 7 indicates that the model identified by the model ID “M01” is a model learned by the learning data “B01”. Further, when the input data “F03” in the event E03 identified by the event ID “E03” is input to the model M01, the additional frame to be output is “1250”.

(About the control unit 130)
The control unit 130 is, for example, a controller, and various programs (an example of an issuance program) stored in a storage device inside the issuance apparatus 100 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. This is realized by executing the RAM as a work area. The control unit 130 is, for example, a controller, and is realized by an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  As illustrated in FIG. 3, the control unit 130 includes a registration unit 131, an acquisition unit 132, an estimation unit 133, an issue unit 134, and a provision unit 135, and functions and functions of information processing described below. Realize or execute. Note that the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 3, and may be another configuration as long as the information processing described below is performed. Further, the connection relationship between the processing units included in the control unit 130 is not limited to the connection relationship illustrated in FIG. 3, and may be another connection relationship.

(Registration unit 131)
The registration unit 131 accepts an acquisition request for a right newly issued by an issue unit 134, which will be described later, from the user, and ranks and registers the user.

  For example, the registration unit 131 ranks the users who want to wait for cancellation related to a predetermined event, and sequentially registers them in the list. For example, the registration unit 131 ranks the users in order from the earliest when the acquisition request for the newly issued right is received.

  Further, the registration unit 131 may notify the user that the waiting for cancellation has started. For example, when the ticket for the event is sold out at the ticket sales site for a predetermined event, the registration unit 131 displays a message indicating that acceptance of registration for waiting for cancellation has started using a banner or the like in the website. . Alternatively, the registration unit 131 may notify the user that acceptance of registration for waiting for cancellation has been started using a push notification or the like. In addition, after the ticket for a predetermined event is sold out, the registration unit 131 performs processing such as displaying a link of a site for performing registration for waiting for cancellation to a user who accesses the ticket sales site for the event. Also good.

  Then, the registration unit 131 stores information regarding the received user in the list storage unit 121.

(About the acquisition unit 132)
The acquisition unit 132 acquires various types of information. For example, the acquisition unit 132 acquires information related to the event participation status. Specifically, the acquisition unit 132 acquires the participation status in a plurality of events held in the past or a plurality of events held at the present time.

  For example, the acquisition unit 132 acquires the entrance transition on the day of the event in the event. In addition, the acquisition unit 132 acquires the number of tickets that have been sold in the event, the admission transition in the past event, the final ticketing rate in the past event, the number of unused tickets, and the like.

  In addition, the acquisition unit 132 acquires the peak value of the number of visitors per predetermined time on the day of the event in the event (the maximum number of visitors per time) and the time when the peak value was observed. For example, the acquisition unit 132 acquires information such as how long an entrance peak occurs from an opening time (entrance start time) in a past event, and how many users enter the capacity at the peak.

  In addition, the acquisition unit 132 may acquire at least one of the weather on the day of the event, the day of the week on which the event is held, or information on performers who appear in the event. Such information is used, for example, as a feature of a model generated by the estimation unit 133 described later.

  In addition, the acquisition unit 132 may acquire the number of expired rights to participate in the event after selling the right to participate in the event. The number of revoked rights to participate in the event is, for example, the number of tickets related to resale, the validity of which has been revoked by an entertainer or the like. For example, the acquisition unit 132 can acquire the number of surplus slots generated after ticket sales in the event by acquiring the number of rights expired in the past event.

  The acquisition unit 132 also displays the number of participants in the event (the size of the event or the actual number of visitors), the number of people in the venue where the event is held, the access status to the venue where the event is held, or the event You may make it acquire at least one of the categories to which it belongs. The access status to the venue where the event is held includes, for example, information on the level of transportation to the venue, the time of the last train, and the transportation cost assumed to be paid by the user to the venue. For example, these elements are used by the estimation unit 133 described later as features relating to the estimation process.

  Note that the acquisition unit 132 may acquire information from not only events to be processed but also all past events for the various types of information described above.

  For example, the acquisition unit 132 acquires information related to a related event that is an event related to an event to be processed and is held in the past than a predetermined event. In this case, the related event is an event for a user having the same size (number of participants) as the predetermined event, the same venue, or the same user attribute, and the event category is similar. Or events where the same performers appear. Specifically, when events with the same content are held every day, past events held with the same content can be related events. For example, in the example shown in FIG. 5, the event E01 and the event E02 can be related events with respect to the event E03.

  In addition, the acquisition unit 132 may acquire the various types of information from a box office or an administrator of the issuing device 100. Further, the acquisition unit 132 may acquire the above-described various types of information using a program that crawls on the network N. The acquisition unit 132 stores the acquired information in the storage unit 120 as appropriate. For example, the acquisition unit 132 stores the acquired information in the event information storage unit 122.

(About the estimation unit 133)
Based on the information acquired by the acquisition unit 132, the estimation unit 133 estimates the number of rights to participate in a predetermined event that are actually exercised when the predetermined event is held. Specifically, the estimation unit 133 estimates the number of tickets actually used when the event is held among the tickets in the event. In other words, the estimation unit 133 estimates a surplus frame in the event by estimating the number of tickets that are unused when the event is held.

  For example, the estimation unit 133 estimates the number of rights actually exercised when a predetermined event is held based on the entrance transition on the day of the predetermined event. That is, the estimation unit 133 predicts the number of tickets used until the event ends from the entrance transition on the day of the event acquired in real time. For example, the estimation unit 133 learns the relationship between the ticketing rate from the time when the admission acceptance is started to a predetermined time and the final ticketing rate by a statistical method. Then, the estimation unit 133 predicts the final ticketing rate from the ticketing rate at a predetermined timing from the time when acceptance of entry is started, and the number of tickets that are finally used from the predicted final ticketing rate. Is estimated.

  In addition, the estimation unit 133 calculates the peak value of the number of visitors for each predetermined time on the day of the predetermined event, the time when the peak value was observed, and the time when the peak value was observed. Based on the time until the end time, the number of rights actually exercised when the predetermined event is held may be estimated. For example, the estimation unit 133 uses the statistical method as described above to determine the peak value of the number of visitors for each predetermined time on the day of the event in the predetermined event, the time when the peak value was observed, and the peak value. A relationship with the time from the observed time to the end time of the predetermined event is learned. Then, the estimation unit 133 calculates a rate of tickets received from the time when the admission recorded a peak until the end time of the predetermined event, and the ticket is finally used based on the rate. Estimate the number. As an example, the estimation unit 133 estimates a transition of the number of visitors in the event to be processed by calculating a curve indicating a transition of the number of visitors like the graph 50 illustrated in FIG. The number of tickets used in the event may be estimated.

  In addition, the estimation unit 133 determines whether the predetermined event is based on at least one of the weather on the day when the predetermined event is held, the day of the week on which the predetermined event is held, or the performer who appears in the predetermined event. You may estimate the number of rights actually exercised at the time of holding. For example, in outdoor festivals and the like, it is generally known that the number of mobilizations changes when the weather is raining and when the weather is clear. The estimation unit 133 may predict the ticket arrival rate on the day of the event by combining these elements, and may estimate the number of tickets actually used.

  In addition, the estimation unit 133 estimates the number of rights actually exercised at the time of holding the predetermined event based on the number of times that the right to participate in the predetermined event expires after the sale of the right to participate in the predetermined event. May be. For example, the estimation unit 133 learns the relationship between the number of times that a ticket is determined to be invalid in a predetermined event and the time that is determined. Thereby, the estimation unit 133 estimates the number of tickets that are finally determined to be invalid on the event date. Specifically, the estimation unit 133 estimates how many tickets that are determined to be tickets related to resale, for example, and whose rights expire, are generated. The estimation unit 133 may estimate the number of tickets actually used on the day of the event by taking such numerical values into account. For example, after estimating the number of tickets that are actually used on the day of the event, the estimation unit 133 subtracts the number of tickets that are assumed to be fraudulent, so that the number that can result in a surplus frame is accurately calculated. Can be estimated well.

  In addition, the estimation unit 133 includes at least a number of participants in a predetermined event, a capacity of a venue where the predetermined event is held, an access situation to the venue where the predetermined event is held, or a category to which the predetermined event belongs. Based on one, the number of rights actually exercised when a predetermined event is held may be estimated. In general, it is known that the ticketing rate shows a similar tendency depending on the number of people participating in an event, the number of people accommodated in the venue, and the category of the event. For this reason, the estimation unit 133 statistically learns the number of participants in a plurality of events, the number of people accommodated in the venue, and the ticketing rate for each event category, thereby calculating the number of tickets used in a predetermined event. Can be estimated. In general, it is known that an event held at a venue where the access status is excellent has a higher ticketing rate than an event held at a venue where the access status is not excellent. For this reason, the estimation unit 133 can estimate the number of tickets used in a predetermined event by performing statistical learning using the access status as one of the elements.

  Note that, as described above, the estimation unit 133 may estimate the number of rights actually exercised when a predetermined event is held based on a comparison between information related to a related event and information related to the predetermined event. . In other words, the estimation unit 133 does not statistically analyze past cases of every event, but estimates the number of tickets actually used on the day of the event by using event information related to the event to be processed. May be.

  The estimation unit 133 may generate a predetermined learning model in order to execute the estimation process described above. For example, the estimation unit 133 sets the number of unused tickets (surplus) in past events as correct answer data, and various data in the event (the number of held events, the number of advance sales, the number of final tickets received, the venue, performers, weather, etc.) Etc.) is generated as a feature.

  Note that the model generated by the estimation unit 133 is not specifically limited. For example, a model generated based on information about an event, and when information about a predetermined event is input, the surplus of past events Any model may be used as long as it is a model that outputs a score indicating a correlation between a frame and a surplus frame predicted in a predetermined event.

  For example, the estimation unit 133 generates a model in which a combination of a surplus frame that finally occurred in a past event and information such as a participation situation in the past event is learned as correct data. At this time, the estimation unit 133 generates a model using the various features described above. For example, the estimation unit 133 can use any information stored in the event information storage unit 122 as a feature.

  For example, the estimation unit 133 generates an expression indicating a relationship between a surplus frame in a past event and information related to the event. Furthermore, the estimation unit 133 learns and calculates what weight each piece of information related to a past event has with respect to an event of a surplus frame. Thereby, the estimation unit 133 can obtain information such as how much individual information (feature) in the event contributes to the phenomenon of occurrence of the surplus frame. Specifically, the estimation unit 133 determines, for example, how much the weather on the date of the event affects the final surplus (how much weight), the event venue, and the event performers. It is possible to generate a model including information on how much influence is exerted on a surplus frame.

  In addition, the estimation part 133 may produce | generate a model not only by the above machine learning but by various learning processes. Moreover, the estimation part 133 may receive the input of arbitrary numerical values, for example by the administrator of the issuing apparatus 100 in model generation or estimation processing. For example, the estimation unit 133 may accept an input of a value such as the popularity of performers who appear in the event. And the estimation part 133 can estimate how a performer influences the mobilization on the day of an event by performing an estimation process using this popularity degree, for example.

  The model illustrated is an example, and the model generated by the estimation unit 133 is not limited to the above example. That is, the estimation unit 133 is a model generated based on information about an event, and when information about a predetermined event is input, a score indicating the correlation between the surplus frames in the past event and the predetermined event As long as the model outputs, a model different from the above example may be appropriately generated by combining known methods. For example, in the above example, an example in which a model is generated by regression analysis has been shown. However, the estimation unit 133 may generate a model by other statistical processing, or a model using a neural network may be generated. It may be generated. In the learning process (machine learning), various methods such as linear regression, logistic regression, support vector machine, decision tree, and hazard analysis may be used.

  In addition, the model which concerns on embodiment is good also considering the similarity of events as correct data, without making a surplus frame into correct data. In general, events similar to each other are assumed to have similar surplus frames. For this reason, the estimation unit 133 may generate a model that calculates the degree of similarity between events based on the category, scale, venue, performer, and the like of the event. In this case, the estimation unit 133 calculates the similarity between the past event and a predetermined event to be processed using the generated model. Then, the estimation unit 133 performs surplus frame estimation processing based on the calculated degree of similarity between events.

(About issuer 134)
The issuing unit 134 issues a new right to participate in a predetermined event based on the number estimated by the estimating unit 133. For example, when the estimating unit 133 estimates the number of rights actually exercised when a predetermined event is held, the issuing unit 134 obtains the number of rights obtained by subtracting the estimated number from the number of people in the event. Is newly issued.

  Specifically, the issuing unit 134 counts the number of tickets in the event when the estimating unit 133 estimates the number of tickets actually used when the predetermined event is held (until the event ends). Then, the number of tickets estimated to be unused is calculated from the number of tickets estimated to be actually used. Then, the issuing unit 134 estimates the number of tickets that are estimated to be unused as a surplus frame, and issues a new ticket.

  Note that the issuing unit 134 may also issue a new ticket by estimating that the number of tickets expired by the box office terminal 20 is a surplus frame. That is, the issuing unit 134 issues a ticket for a user who is waiting for cancellation instead of a ticket for which an illegal transaction such as resale has been performed.

(About providing unit 135)
The providing unit 135 provides an opportunity to acquire a right newly issued by the issuing unit 134 preferentially from the users who are registered by the registration unit 131 and ranked higher.

  That is, when an additional right (ticket) is issued by the issuing unit 134, the providing unit 135 notifies the user registered in the waiting list for cancellation at a predetermined event. For example, the providing unit 135 presents a link to a purchase page for purchasing a ticket newly issued by the issuing unit 134 to the user.

  Here, the flow of processing performed by the issuing device 100 will be specifically described with reference to FIG. FIG. 8 is a diagram for explaining the issuing process according to the embodiment.

  For example, it is assumed that advance sales of tickets are started at time t1 shown in FIG. Then, at time t2 shown in FIG. 8, it is assumed that the ticket advance sale period has ended, or the ticket advance sale has ended because the ticket has been sold out. In general, when ticket advance sales are completed, tickets are not sold until the event is held.

  Here, according to the issuing device 100 according to the embodiment, the reception of the waiting for cancellation can be started from the time t2 when the advance sale of the ticket ends. Furthermore, when the surplus frame in the event is estimated at this time, the issuing device 100 can sell the newly added frame from time t2. In addition, when the issuing apparatus 100 performs the estimation process in consideration of the participation situation on the day of the event, provision of the additional frame is performed from time t3.

  Then, according to the issuing device 100, it is possible to provide an additional frame continuously from t3 when the reception at the event venue is started. That is, the issuing device 100 sequentially estimates the number of frames that can become additional frames, for example, by performing an estimation process every hour. The issuing device 100 sequentially issues tickets corresponding to the additional frames, and provides an opportunity to purchase newly issued tickets in order from the top of the cancellation waiting list. Such a process is continued until the time t4 when the event ends or the ticket sale ends.

  As described above, according to the issuing device 100, it is possible to accept a waiting for cancellation or to continue to provide an additional frame even with regard to a ticket stop period or a period after the ticket is sold out. Further, according to the issuing device 100, it is possible to continue providing additional frames even after the event has started. In this way, the issuing device 100 can seamlessly issue and provide a ticket to a user.

[4. Processing procedure)
Next, a processing procedure performed by the issuing device 100 according to the embodiment will be described with reference to FIG. FIG. 9 is a flowchart illustrating a processing procedure according to the embodiment.

  As illustrated in FIG. 9, the issuing device 100 receives a cancellation wait request from the user (step S <b> 101). When issuing the cancellation waiting request, the issuing device 100 registers the user in the list (step S102).

  Thereafter, the issuing device 100 determines whether or not the event participation status has been acquired (step S103). If the event participation status has not been acquired (step S103; No), the issuing device 100 waits until acquisition.

  On the other hand, when the event participation status is acquired (step S103; Yes), the issuing apparatus 100 estimates an unused frame of the event to be processed (step S104). And the issuing apparatus 100 issues an additional frame based on the estimated number of unused frames (step S105).

  Thereafter, the issuing device 100 determines whether or not the sales time, which is the time during which the ticket can be provided, has ended (step S106). If the sales time has ended (step S106; Yes), the issuing device 100 ends the process for the event.

  On the other hand, if the sales time has not ended (step S106; No), the issuing device 100 notifies the user in the order of the list registered in the waiting list for cancellation (step S107). Furthermore, the issuing device 100 determines whether or not an additional frame acquisition request (purchase request) has been received from the user (step S108).

  When the acquisition request for the additional frame is received from the user (step S108; Yes), the issuing device 100 sells the additional frame (step S109). Then, the issuing device 100 reduces the number of additional frames by the number sold, and determines whether all the additional frames have been sold (step S110).

  When all the additional frames are sold (step S110; Yes), the issuing device 100 ends the process. If the event is still continued, the issuing device 100 may repeat the estimation process (in this case, the process proceeds to step S103).

  On the other hand, when all the additional frames are not sold (step S110; No), or when the user who made the notification does not want to purchase (step S108; No), the issuing device 100 selects the notification target in the list. Advance to the next order (step S111). And the issuing apparatus 100 repeats the process which determines whether the sales time is complete | finished again (step S106).

[5. (Modification)
The issuing device 100 described above may be implemented in various different forms other than the above embodiment. Therefore, in the following, another embodiment of the issuing device 100 will be described.

[5-1. Event type
In the above-described embodiment, an event (such as an outdoor festival) in which performers and the like exist is given as an example of the predetermined event. However, in the issuing process according to the embodiment, the predetermined event has a right to participate in the predetermined event, and if the upper limit of the number of right frames to participate in the event is defined, It is not limited to outdoor festivals and concerts. For example, the predetermined event may be a sports game, an exhibition, an exhibition, or the like. In other words, the issuing process by the issuing device 100 described above may be applied to a free event, an entrance restriction for an exhibition or an exhibition, or the like.

[5-2. (Identification of reseller or counterfeiter)
When the ticket is invalidated, the issuing device 100 may identify a user who has submitted the invalidated ticket, a user who has purchased the invalidated ticket (for example, a resold ticket), or the like. Then, the issuing device 100 may prevent such a user from selling a ticket even if the user intends to purchase a ticket through a regular route in the future. As a result, the issuing device 100 can exclude a user who behaves contrary to the terms of resale or the like from ticket sales, so that ticket sales can be made sound.

  Further, the issuing device 100 may determine that the ticket is illegal even for reasons other than resale or forgery. For example, in the issuing device 100, a ticket is a result of theft (that is, a person other than the purchaser uses the ticket), or a ticket that can be used only by a specific person such as a shareholder is used by a third party. If the ticket is used, the ticket may be determined to be an unauthorized ticket.

[5-3. (Ticket authentication)
In the embodiment described above, an example is shown in which the entertainment terminal 20 reads the ticket identifier and authenticates the ticket. Here, the authentication of the ticket may be performed manually. In this case, the issuing device 100 may acquire the participation status authenticated and tabulated manually.

  Further, the issuing device 100 may determine that a ticket or a commercial transaction is irregular even for reasons other than expensive resale or forgery. For example, in the issuing device 100, a ticket related to a commercial transaction is a result of theft (that is, it is exhibited by a person other than the purchaser), or a ticket that can be used only by a specific person such as a shareholder is sold. If so, it may be determined that the ticket is unauthorized.

[5-4. service〕
In the above-described embodiment, the issue device 100 has shown an example in which a user is provided with an opportunity to acquire a newly added right via a service (web site) such as a ticket sales site. However, the issuing device 100 is not limited to a website or the like, and may provide the service via an application, for example.

[5-5. list〕
In the above embodiment, the issuing device 100 has shown an example of receiving a registration request for a cancellation waiting list from a user. However, the issuing device 100 may perform registration automatically without receiving a registration request from the user.

  For example, the issuing device 100 automatically detects a user who has purchased a ticket for a predetermined event, but has not purchased the ticket or purchased it for reasons such as being sold out. You may make it register to a list.

  In addition, the issuing device 100 uses, for example, the position information acquired from the user terminal 10 to acquire information on the user terminal 10 located in the vicinity of the event venue at the time of the event, and uses the user terminal 10 May be registered in the list. Thereby, the issuing device 100 can prompt the user who is located near the event venue to participate in the event when the event is held.

  Further, the issuing device 100 may adjust the order of the cancellation waiting list using the position information. For example, the issuing device 100 may provide a user who is located in the vicinity of the event venue with an opportunity to purchase an additional frame in preference to a user who is not located in the vicinity of the event venue.

  Further, the issuing device 100 may register a user who has a right to participate in a predetermined event and whose user has expired for a predetermined reason in the list. Then, the issuing device 100 may provide an opportunity to acquire a newly issued right preferentially from a user who has expired the right.

  Specifically, the issuing device 100 may preferentially provide an additional frame purchase opportunity to a user who visits the venue with, for example, a resale ticket or a counterfeit ticket. That is, some users who have owned resale tickets or counterfeit tickets are not malicious, and there are users who have purchased such tickets by mistake. As a remedy for such a user, the issuing device 100 may preferentially provide an additional frame purchase opportunity.

  Alternatively, the issuing device 100 is a user who has mistaken the date of the event (for example, a user who has a ticket with a different date when events with the same content are performed every day), and the date on which the event venue is mistaken. You may make it provide the purchase opportunity of an additional frame with priority to the visiting user.

[5-6. (Unused ticket)
The unused ticket is not limited to a ticket invalidated by resale or a ticket held by a user who does not visit. For example, in an event held throughout the year (for example, professional baseball), there are tickets (rights) that can secure seats for the whole year. Even if it is such a ticket, the issuing apparatus 100 may estimate the possibility of becoming a surplus frame by using, for example, a ratio used throughout the year as a model element.

[5-7. (Feature)
The issuing device 100 may perform estimation processing using various information other than those exemplified in the above embodiment. That is, the issuing device 100 may generate a model using various information as features. For example, the issuing device 100 may include a combination of performers, a combination of teams to play if the event is a sport, how far the event venue is located from the nearest station, the time of the last train after the event ends, an event The number of parking spaces at the venue may be used as a feature.

[5-8. (Entry / exit records)
As an example of the event participation status, the issuing device 100 may acquire the number of users who have left the venue of the predetermined event and the number of users who have re-entered during the predetermined event. Then, the issuing device 100 newly issues a right to participate in the predetermined event based on the number of users who have left the venue of the predetermined event and the number of users who have re-entered during the predetermined event. You may make it do.

  For example, some events, such as outdoor festivals, are held throughout the day and are frequently entered and exited. For this reason, even if a user enters once (a ticket is used), the number of events may not be reached due to reasons such as the user leaving during the event. In such a case, the issuing device 100 may acquire not only the entrance but also information on the user's exit, and may estimate the exited frame as an additional frame. Further, in this case, the issuing device 100 may add the probability or number of re-entry of the user who has exited once to the model elements.

[5-9. Ticket identifier)
The ticket identifier may be any information as long as the information uniquely identifies the ticket. For example, the identifier of the ticket is not limited to the exemplified barcode, and may be, for example, a predetermined number of numerical values, a QR code (registered trademark), or the like. The identifier may not be visible. For example, the identifier may be information that can be identified if the image analysis is performed by the issuing device 100 or the entertainer terminal 20, and may be an identifier that is not visible to humans (a so-called steganograph or the like).

[6. Hardware configuration)
The issuing device 100, the user terminal 10, and the entertainer terminal 20 according to the above-described embodiments are realized by a computer 1000 having a configuration as shown in FIG. Hereinafter, the issuing device 100 will be described as an example. FIG. 10 is a hardware configuration diagram illustrating an example of a computer 1000 that implements the functions of the issuing device 100. The computer 1000 includes a CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I / F) 1500, input / output interface (I / F) 1600, and media interface (I / F) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 and controls each unit. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores a program executed by the CPU 1100, data used by the program, and the like. The communication interface 1500 receives data from other devices via the communication network 500 (corresponding to the network N shown in FIG. 2) and sends the data to the CPU 1100, and the data generated by the CPU 1100 is transferred to other devices via the communication network 500. Send to device.

  The CPU 1100 controls an output device such as a display and a printer and an input device such as a keyboard and a mouse via the input / output interface 1600. The CPU 1100 acquires data from the input device via the input / output interface 1600. Further, the CPU 1100 outputs the data generated via the input / output interface 1600 to the output device.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides it to the CPU 1100 via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. Etc.

  For example, when the computer 1000 functions as the issuing device 100 according to the embodiment, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1200. The HDD 1400 stores data in the storage unit 120. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired from other devices via the communication network 500.

[7. Others]
In addition, among the processes described in the above embodiment, all or part of the processes described as being automatically performed can be performed manually, or the processes described as being performed manually can be performed. All or a part can be automatically performed by a known method. In addition, the processing procedures, specific names, and information including various data and parameters shown in the document and drawings can be arbitrarily changed unless otherwise specified. For example, the various types of information illustrated in each drawing is not limited to the illustrated information.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution / integration of each device is not limited to that shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. For example, the registration unit 131 and the acquisition unit 132 illustrated in FIG. 3 may be integrated. Further, for example, information stored in the storage unit 120 may be stored in a predetermined storage device provided outside via the network N.

  In the above-described embodiment, for example, the issuing device 100 performs, for example, a registration process for registering a user, an estimation process for estimating the number of tickets to be used, and an issue process for newly issuing tickets for surplus frames. An example is shown. However, the issuing device 100 described above may be separated into a registration device that performs registration processing, an estimation device that performs estimation processing, and an issuing device that performs issuing processing. In this case, the registration device has at least a registration unit 131. The estimation device has at least an estimation unit 133. The issuing device has at least an issuing unit 134. And the process by said issuing apparatus 100 is implement | achieved by the issue processing system 1 which has each apparatus of a registration apparatus, an estimation apparatus, and an issuing apparatus.

  In addition, the above-described embodiments and modifications can be combined as appropriate within a range that does not contradict processing contents.

[8. effect〕
As described above, the issuing device 100 according to the embodiment includes the acquisition unit 132, the estimation unit 133, and the issuing unit 134. The acquisition unit 132 acquires information related to the event participation status. Based on the information acquired by the acquisition unit 132, the estimation unit 133 estimates the number of rights to participate in a predetermined event that are actually exercised when the predetermined event is held. The issuing unit 134 issues a new right to participate in a predetermined event based on the number estimated by the estimating unit 133.

  As described above, the issuing device 100 according to the embodiment estimates the number of rights actually exercised at the time of holding a predetermined event and newly issues the right to participate in the predetermined event. A greater number of rights may be issued than the number of rights granted. Thereby, since the issuing device 100 can give an opportunity to participate in an event to more users, it is possible to attract more users.

  In addition, the acquisition unit 132 acquires the entrance transition on the day of the event in a predetermined event. The estimation unit 133 estimates the number of rights actually exercised when a predetermined event is held based on the entrance transition on the day of the event at the predetermined event.

  As described above, the issuing device 100 according to the embodiment can perform estimation based on the actual participation status of the event day by acquiring the entrance transition of the day, so the number of rights exercised on the event day can be calculated. It can be estimated with high accuracy.

  In addition, the acquisition unit 132 acquires the peak value of the number of visitors every predetermined time on the day of the event in a predetermined event and the time when the peak value was observed. The estimation unit 133 includes a peak value of the number of visitors per predetermined time on the day of the event in a predetermined event, a time when the peak value is observed, and a time from the time when the peak value is observed to the end time of the predetermined event. Based on the above, the number of rights actually exercised when a predetermined event is held is estimated.

  As described above, the issuing device 100 according to the embodiment can more accurately grasp the actual participation status of the event day and the trend of the future participation status of the event by acquiring the entrance peak of the day. The number of rights exercised on the day of the event can be estimated with high accuracy.

  In addition, the acquisition unit 132 acquires at least one of the weather on the day when the predetermined event is held, the day of the week on which the predetermined event is held, or the information regarding the performers who appear in the predetermined event. The estimation unit 133 holds the predetermined event based on at least one of the weather on the day when the predetermined event is held, the day of the week when the predetermined event is held, or the performers who appear in the predetermined event. Estimate the number of rights actually exercised from time to time.

  As described above, the issuing device 100 according to the embodiment can capture the trend of users who visit the event venue with higher accuracy by incorporating factors such as the weather and day of the event into the estimation process.

  The acquisition unit 132 acquires the number of expired rights to participate in a predetermined event after selling the right to participate in the predetermined event. The estimation unit 133 estimates the number of rights that are actually exercised when a predetermined event is held based on the number of expired rights to participate in the predetermined event after selling the right to participate in the predetermined event.

  As described above, the issuing device 100 according to the embodiment acquires the number of expired rights (for example, the number of tickets, etc. related to resale) among the rights used in the event until the end of the event. In the meantime, we can estimate how much rights will expire. The issuance apparatus 100 can estimate the number of rights actually exercised at the time of the event with high accuracy by capturing this number as an unused frame.

  Further, the acquisition unit 132 acquires the number of users who have left the venue of the predetermined event and the number of users who have re-entered during the predetermined event. The issuing unit 134 newly issues a right to participate in a predetermined event based on the number of users who have left the venue of the predetermined event and the number of users who have reentered during the predetermined event.

  As described above, the issuing device 100 according to the embodiment may newly issue a right to participate in a predetermined event in consideration of the number of users who have left the event. Thereby, since the issuing apparatus 100 can issue more additional frames, it can be connected to a larger number of users.

  The acquisition unit 132 may include at least a number of participants in a predetermined event, a capacity of a venue where the predetermined event is held, an access situation to the venue where the predetermined event is held, or a category to which the predetermined event belongs. Get one. The estimation unit 133 is at least one of the number of participants in a predetermined event, the number of people in the venue where the predetermined event is held, the access situation to the venue where the predetermined event is held, or the category to which the predetermined event belongs. To estimate the number of rights actually exercised at the time of a given event.

  As described above, the issuing device 100 according to the embodiment incorporates elements such as the event scale and information related to the event venue into the estimation process, so that the tendency of the user for each event type and the user who visits the event venue. Since trends can be captured, the number of rights actually exercised can be estimated more accurately.

  In addition, the acquisition unit 132 acquires, as information related to the event participation status, information related to a related event that is an event related to a predetermined event, and is related to a related event held in the past than the predetermined event. The estimation unit 133 estimates the number of rights actually exercised when a predetermined event is held, based on a comparison between information related to a related event and information related to the predetermined event.

  As described above, the issuing device 100 according to the embodiment may perform the estimation process based on the comparison with the past event. As a result, the issuing device 100 can perform estimation processing before acquiring the status of a predetermined event on the day, for example, and can perform seamless ticket sales regardless of the sold-out period of the tickets. it can.

  In addition, the issuing device 100 according to the embodiment further includes a registration unit 131 that receives an acquisition request for a right newly issued by the issuing unit 134 from the user, and ranks and registers the user. Further, the issuing device 100 according to the embodiment provides an opportunity to acquire a right newly issued by the issuing unit 134 preferentially from the users who are registered by the registration unit 131 and ranked higher. The providing unit 135 is further provided.

  Thus, the issuing device 100 according to the embodiment provides the user with an opportunity to acquire the added frame in the order of registration. As a result, the issuing device 100 can perform additional rights from issuance to acquisition of new users in order, and thus can attract more users. In addition, since the issuing device 100 can give a user an opportunity to purchase an additional frame to a user who desires to participate in the event, the satisfaction level of the user can be improved.

  In addition, the registration unit 131 registers a user who has a right to participate in a predetermined event and whose right has expired for a predetermined reason. The providing unit 135 provides an opportunity to acquire a right newly issued by the issuing unit 134 preferentially from a user who has expired the right.

  As described above, the issuing device 100 according to the embodiment may provide an opportunity to preferentially acquire an additional frame, for example, for a user who has purchased a resale ticket by mistake. As a result, the issuing device 100 can provide relief for a non-malicious user, so that the satisfaction level of the user can be improved.

  The embodiment of the present application has been described in detail with reference to the drawings. However, this is an exemplification, and various modifications and improvements are made based on the knowledge of those skilled in the art including the aspects described in the column of the disclosure of the invention. The present invention can be implemented in other forms.

  In addition, the “section (module, unit)” described above can be read as “means” or “circuit”. For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

DESCRIPTION OF SYMBOLS 1 Issuance processing system 10 User terminal 20 Entertainment terminal 100 Issuing apparatus 110 Communication part 120 Storage part 121 List storage part 122 Event information storage part 123 Event table 124 Participation situation table 125 Model table 130 Control part 131 Registration part 132 Acquisition part 133 Estimation Department 134 Issuing Department 135 Providing Department

Claims (10)

A storage unit for storing information on the event participation status;
As information on the participation status of the event from the storage unit , at least the admission transition on the day of the event in the predetermined event and the related event that is an event related to the predetermined event, which is held in the past than the predetermined event An acquisition unit for acquiring information related to the related event ,
Estimating the number of rights actually exercised at the time of holding the predetermined event based on a comparison between the admission transition of the predetermined event acquired by the acquiring unit on the day of the event and information related to the related event And
Based on the number estimated by the estimation unit, an issue unit that newly issues a right to participate in the predetermined event;
An issuing device comprising: The acquisition unit
The peak value of the number of visitors per predetermined time on the day of the event in the predetermined event, and the time when the peak value was observed,
The estimation unit includes
The peak value of the number of visitors per predetermined time on the day of the event in the predetermined event, the time when the peak value was observed, the time from the time when the peak value was observed to the end time of the predetermined event, To estimate the number of rights actually exercised at the time of the prescribed event,
The issuing device according to claim 1 . The acquisition unit
As information about the participation status of the event, obtain at least one of the weather on the day when the predetermined event is held, the day of the week on which the predetermined event is held, or information about the performers who appear in the predetermined event And
The estimation unit includes
When the predetermined event is held based on at least one of the weather on the day when the predetermined event is held, the day of the week on which the predetermined event is held, or the performers who appear in the predetermined event. Estimate the number of rights actually exercised,
The issuing device according to claim 1 or 2, wherein The acquisition unit
As the information regarding the participation status of the event, after the sale of the right to participate in the predetermined event, obtain the number of expired rights to participate in the predetermined event,
The estimation unit includes
Estimating the number of rights actually exercised at the time of the predetermined event based on the number of expired rights to participate in the predetermined event after selling the right to participate in the predetermined event;
The issuing device according to any one of claims 1 to 3 , wherein The acquisition unit
As the information regarding the participation status of the event, the number of users who have left the venue of the predetermined event and the number of users who have re-entered during the predetermined event are acquired,
The issuing unit
A new right to participate in the predetermined event is issued based on the number of users leaving the venue of the predetermined event and the number of users re-entering during the predetermined event.
The issuing device according to any one of claims 1 to 4 , wherein The acquisition unit
As information on the participation status of the event, the number of participants in the predetermined event, the number of people in the venue where the predetermined event is held, the access status to the venue where the predetermined event is held, or the predetermined event Get at least one of the categories to which the event belongs,
The estimation unit includes
At least one of the number of participants in the predetermined event, the number of people in the venue where the predetermined event is held, the access status to the venue where the predetermined event is held, or the category to which the predetermined event belongs Based on the number of rights actually exercised at the time of the given event,
The issuing device according to any one of claims 1 to 5 , wherein A registration unit that accepts an acquisition request for a right newly issued by the issuing unit from a user, and ranks and registers the user;
A providing unit that provides an opportunity to acquire a right newly issued by the issuing unit preferentially from a user who is registered by the registration unit and is ranked higher;
The issuing device according to any one of claims 1 to 6 , further comprising: The registration unit
A user who has the right to participate in the predetermined event, and who has expired the right for a predetermined reason,
The providing unit includes:
Providing an opportunity to preferentially acquire a right newly issued by the issuing unit from a user who has expired the right;
The issuing device according to claim 7 , further comprising: An issuance method executed by a computer including a storage unit that stores information related to event participation status ,
As information on the participation status of the event from the storage unit , at least the admission transition on the day of the event in the predetermined event and the related event that is an event related to the predetermined event, which is held in the past than the predetermined event Obtaining information related to the related event , and
Estimating the number of rights actually exercised at the time of holding the predetermined event based on a comparison between the admission transition of the predetermined event acquired at the acquisition step and information related to the related event Process,
Issuing step for newly issuing a right to participate in the predetermined event based on the number estimated by the estimating step;
Issuing method characterized by including. From the storage unit that stores information on the event participation status, as information on the event participation status , at least the admission transition on the day of the event in the predetermined event and the related event that is an event related to the predetermined event An acquisition procedure for acquiring information related to related events held in the past than a predetermined event ;
Estimating the number of rights actually exercised at the time of holding the predetermined event based on a comparison between the admission transition on the day of the event acquired by the acquisition procedure and information related to the related event Procedure and
Issuing procedure for newly issuing the right to participate in the predetermined event based on the number estimated by the estimating procedure;
Is executed by a computer including the storage unit .

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