JP6504475B2 - Information processing apparatus and program - Google Patents

Description

  The present invention relates to an information processing apparatus and program.

  For example, Patent Document 1 discloses a technology in which a server manages the current store situation in a store and transmits the information from the server to a mobile terminal.

JP 2012-108649 A

  Here, it is conceivable to apply the technology described in Patent Document 1 even to a store where a game device is installed. However, for example, even if a player who is out of the store goes to the store after checking the current store status with the portable terminal, the store status changes from the status at the time of the check, and there is a possibility that the player may not expect.

  Therefore, the present inventors considered using the reservation information of the game device to predict the future store situation. However, based on the fact that there is a player who visits the store as it is without making a reservation, for example, if the reservation information is read on a website etc. and the reservation is available, the present inventors use the reservation information. , I found that the prediction accuracy of the store situation may not be enough.

  The present invention has been made in view of such problems, and an object thereof is to provide an information processing apparatus and program capable of enhancing the prediction accuracy in predicting the future store situation.

  An information processing apparatus according to an aspect of the present invention is an acquisition unit for acquiring browsing information indicating that related information related to a game device installed in a store has been browsed, and the browsing information in the future based on the browsing information. Forecasting means for forecasting a store situation of

  According to the above configuration, since the future store situation is predicted based on the browse information indicating that the relevant information has been browsed, for example, a player who goes to the store without making a reservation simply by browsing the relevant information It can be predicted taking into consideration, thereby enhancing its prediction accuracy.

  According to the present invention, when predicting the future store situation, the prediction accuracy can be enhanced.

FIG. 1 is a block diagram showing an example of the entire configuration of a management system 1 including a server apparatus as an information processing apparatus according to the present embodiment. FIG. 2 is a block diagram showing an example of the hardware configuration of the server apparatus shown in FIG. FIG. 3 is a block diagram showing an example of a functional configuration of the server apparatus shown in FIG. FIG. 4 is a diagram for explaining an example of the browsing history shown in FIG. FIG. 5 is a flow chart showing a flow of browsing processing of reservation information executed by the management system. FIG. 6 is a flow chart showing the flow of prediction processing executed by the server system of the management system. FIG. 7 is a flowchart showing a flow of output processing of a prediction result, which is executed by the management system.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. In addition, what attached the same code | symbol in each figure has the same or same structure.

<Overall configuration>
FIG. 1 is a block diagram showing an example of the entire configuration of a management system 1 including a server apparatus 10 as an information processing apparatus according to the present embodiment. As illustrated, the management system 1 includes devices such as a server device 10 and one or more game devices 12 installed in a store 16 (hereinafter referred to as “in-store”) and a plurality of terminal devices 14 and the like. Prepare.

  The management system 1 uses (1) the browsing process for making the player browse the reservation information of the game apparatus 12 using each of the devices 10 to 14 and (2) the prediction process for predicting the future situation (store situation) of the shop 16 (3) Output processing etc. which output the prediction result obtained by prediction of prediction processing are performed.

Examples of the store status include a status related to players in the store, a status related to the game device 12 in the store, a status related to tools in the store 16, and a status related to the store 16 itself. The situation regarding the player in the store includes the crowded situation in the store, the situation of the number of people in the store, the visiting situation of a specific player in the store 16, the situation of the player class in the store 16, and the like. The status regarding the game device 12 in the store includes the crowded status of the game device 12, the usage status of the game device 12, the remaining status of the prize provided to the player by the game device 12, the degradation status of the game device 12, etc. . Examples of the state of tools in the store 16 include the state of remaining tools, the state of deterioration of the tools, and the state of use of the tools. The situation regarding the store 16 itself includes the deterioration situation of the building that constitutes the store 16, the complaint situation with the store 16, and the like.
As the above player layer, for example, a layer for separating men and women, a layer for separating by the player's skill levels (rank and the like) of beginners, intermediate players and advanced players in the game, a layer for discriminating by player age, celebrity There is a layer that distinguishes between a general person and a person who needs attention.

  The server device 10 is installed, for example, in a store. The server device 10 is configured to be able to communicate with the game device 12 and the terminal device 14 in the store via, for example, a communication network NT such as an intranet or the Internet. The server device 10 has a function of managing a reservation of the game device 12, a function of predicting a future store situation, and the like.

  The game device 12 provides a game to the player corresponding to the game device 12 who has paid a play value such as cash or medals. The game device 12 is configured to be able to communicate with the server device 10 via the communication network NT.

  The terminal device 14 is a terminal owned by a player (including a player who has not yet played a game but may play the game in the future). The terminal device 14 is configured to be able to communicate with the server device 10 via the communication network NT. By communicating with the server device 10 using the terminal device 14, the player can confirm reservation information of the game device 12 or confirm a predicted result of a future store situation.

--- Hardware configuration ---
FIG. 2 is a block diagram showing an example of the hardware configuration of the server device 10 shown in FIG. As illustrated, the server device 10 includes a control device 30, a communication device 36, and a storage device 38 as a hardware configuration. Control device 30 mainly includes CPU 32 and memory 34.

  In the control device 30, the CPU 32 functions as various function realizing means by executing a predetermined program stored in the memory 34 or the storage device 38 or the like. The details of the function realizing means will be described later.

  The communication device 36 is configured of a communication interface or the like for communicating with an external device. The communication device 36 transmits and receives various types of information to and from, for example, the game device 12 and the terminal device 14.

  The storage device 38 is configured by a hard disk or the like. The storage device 38 stores various programs and various information necessary for execution of processing in the control device 30, and information on processing results.

  The server device 10 can be realized using an information processing device such as a dedicated or general purpose server computer. Further, the server device 10 may be configured by a single information processing device or may be configured by a plurality of information processing devices distributed on the communication network NT.

  Moreover, FIG. 2 only shows a part of the main hardware constitutions which the server apparatus 10 has, and the server apparatus 10 can be equipped with the other structure with which a server generally is provided.

<Functional configuration>
FIG. 3 is a block diagram showing an example of a functional configuration of the server device 10 shown in FIG. As illustrated, the server device 10 includes functional units such as a storage unit 100, a browsing reception unit 110, a reservation reception unit 112, an acquisition unit 114, a prediction unit 116, and an output unit 118. The storage unit 100 is realized by one or more storage devices 38. Other functional means are realized by the control device 30 executing a program.

  In the storage unit 100, for example, a reservation information table 100A, a browsing history table 100B, a prediction function 100C, a prediction result table 100D, and the like are stored.

  One or more pieces of reservation information are described in the reservation information table 100A. The reservation information includes, for example, identification information (ID) of the reservation person, a reservation date and time, and identification information of the specific game device 12 to be reserved. The reservation target may not be the game device 12 but the store 16 itself.

  In the browsing history table 100B, for example, a history of browsing information indicating that the related information related to the game device 12 installed in the store 16 is browsed is described. The related information is not particularly limited as long as it relates to the game apparatus 12, and for example, it relates to reservation information of the game apparatus 12, web information published on a web page related to the game apparatus 12, and the game apparatus 12. Contains application output information etc. The web information includes game capture information, advertisement information, posting information (posting information) in a social networking service, and the like. As the output information, start screen information of the application and the like can be mentioned. In the present embodiment, the related information is reservation information of the game apparatus 12, and the browsing information is information indicating that the reservation information has been browsed.

  The prediction function 100C is generated by machine learning of a function generation unit (not shown) based on, for example, learning data stored in the storage unit 100. The learning data includes, for example, data of a combination of the number of people in the store, the total number of browsing of the reservation information (the number of browsing), and the number of reservations. The prediction function 100C is, for example, every minute after the current time, every time after the current time, every date and time after the current date and time, every day after the current date, every day of the week, and for each type of prediction target It may be prepared. In the present embodiment, the prediction function 100C is prepared for each date and time. When browsing information (and reservation information) is input to the prediction function 100C prepared for each date and time, each prediction function 100C analyzes the browsing information (and reservation information), and sets it as a future store situation. The number of people in the store at the date and time corresponding to each prediction function 100C is determined and output.

  The prediction result table 100D is a table in which the prediction result obtained by the prediction unit 116 is described, and in the present embodiment, indicates the future store situation for the store 16.

  The browsing receiving unit 110 is a functional unit that receives a browsing request from the player and provides the player with reservation information corresponding to the browsing request.

  The reservation receiving unit 112 is a functional unit that receives a reservation of the game apparatus 12 from the player, and stores the reservation information in the reservation information table 100A.

  The acquisition means 114 is a functional means for acquiring various information such as browsing information and reservation information.

  The prediction unit 116 is a functional unit that predicts one or more future store conditions for the store 16 based on at least the browse information (prediction processing), and stores the prediction result in the prediction result table 100D. In the present embodiment, the prediction unit 116 predicts the number of people in the store 16 and the congestion state for each future time based on the browsing information and the reservation information.

  The output unit 118 is a functional unit that refers to the prediction result table 100D in response to a request from the administrator or the player of the server device 10, acquires the prediction result, and outputs the prediction result to the display or the outside.

  The response processing unit 120 is a functional unit that performs response processing according to the prediction result. As the contents of the corresponding process, an event related to the game apparatus 12 is controlled, a prediction result is notified to a predetermined destination such as a store clerk or a player of a store, or a player is notified of guidance information for guiding to another store 16. Can be mentioned.

  The above events may include tournament events of competitions between players. In addition, the event may include a granted event that grants a player who has visited the store the right to play a special game stage, to play against a special enemy, or to grant a special reward. In addition, the event may include a change event for changing any one of a play fee paid by the player, a reward given to the player by the game apparatus 12, or an advertisement for the player. In addition, the event may include a notification event for notifying a player, a store clerk, etc. of a prediction result or information based on the prediction result. By these events, for example, the number of players coming to the store 16 can be adjusted.

  For example, when the prediction result indicates that the store 16 is not crowded, the response processing unit 120 controls an event that lowers the play fee than the normal fee or increases the number of times of advertisement, thereby the player You may be urged to come to the store. Further, when the prediction result table 100D indicates that the specific game is crowded, the correspondence processing means 120 lowers the play fee of the other game, or displays a guide prompting the other game to play. An event to be played may be controlled to lead to another game other than the specific game. In addition, when the correspondence processing means 120 indicates that the prediction result table 100D indicates that a particular game is crowded, it is preferable to increase the number of prizes to be given to the player according to the game device 12 or the result of playing the game. You may control the event which notifies a store clerk to prepare.

  FIG. 4 is a diagram for explaining an example of the browsing history table 100B shown in FIG. As illustrated, in the browsing history table 100B, the ID (identification information) of the browser who browsed the reservation information, the browsing date and time, and the reservation information to be browsed are described for each row number of the table. . In such a browsing history table 100B, for example, as shown in the first line of FIG. 4, the game device whose ID is “23233” is a game device from 12 o'clock to 13 o'clock on April 2, 2017 as a browsing target. It can be grasped that the reservation information indicating that the reservation for playing the game of 1 is made is browsed on March 29.

<(1) Browsing process>
FIG. 5 is a flow chart showing a flow of browsing processing of reservation information executed by the management system 1. This browsing process is started when the terminal device 14 receives a browsing operation by the player.

(Step SP10)
The terminal device 14 is a browsing page request for requesting a browsing page for browsing reservation information in response to a browsing operation by the player, and the designation information for specifying specific reservation information, the ID of the player, the browsing request date and time Are transmitted to the server device 10. Then, the process proceeds to the process of step SP12. The designation information includes identification information of specific reservation information.

(Step SP12)
The server device 10 receives a browse page request from the terminal device 14. Then, the process proceeds to the process of step SP14.

(Step SP14)
In response to the reception of the browse page request, the browse acceptance unit 110 of the server device 10 reads the reservation information table 100A. Then, the process proceeds to the process of step SP16.

(Step SP16)
The browsing reception unit 110 acquires, from the reservation information in the reservation information table 100A, the reservation information corresponding to the designated information in the browsing request. Then, the process proceeds to the process of step SP18.

(Step SP18)
The browsing reception unit 110 generates a browsing page of the acquired reservation information. Then, the process proceeds to the process of step SP20.

(Step SP20)
The browsing reception means 110 transmits the generated browsing page to the terminal device 14 of the browsing request source. Then, the processing shifts to the processing of step SP22 and step SP24.

(Step SP22)
The terminal device 14 receives the browse page. In response to this, the terminal device 14 displays the received browsing page. Then, the browsing process ends.

(Step SP24)
The acquiring unit 114 of the server device 10 acquires browsing information including the ID of the player in the browsing request, the browsing request date and time (browsing date and time), the identification information of the acquired reservation information, and the like. Add to Then, the browsing process ends.

<(2) Prediction process>
FIG. 6 is a flow chart showing the flow of prediction processing executed by the prediction means 116 of the management system 1 and particularly the server device 10. This prediction process is repeated for each date and time to be predicted.

(Step SP30)
The prediction unit 116 of the server device 10 calculates the number of reservation information for which there is a reservation at the date and time to be predicted based on the reservation information table 100A, and acquires the calculated number as the reservation number I1 of the date and time. Then, the process proceeds to the process of step SP32.

(Step SP32)
The prediction unit 116 calculates, based on the browsing history table 100B, the number of browsing information indicating that the reservation information having a reservation on the date and time of prediction is browsed, and acquires the number as the browsing number I2 of the reservation information. . Then, the process proceeds to the process of step SP34.

(Step SP34)
The prediction means 116 acquires the prediction function 100C corresponding to the date and time of prediction object. Then, the process proceeds to the process of step SP36.

(Step SP36)
The prediction means 116 predicts the number O1 of people in the store at the date and time of the prediction target based on the acquired prediction function 100C. Specifically, the prediction unit 116 inputs the number of reservations I1 and the number of browsing I2 to the acquired prediction function 100C, and sets the value output from the prediction function 100C as the number O1 of people in the store at the date and time of the prediction target. To predict. After prediction, the prediction means 116 stores this prediction result in the prediction result table 100D. Then, the process proceeds to the process of step SP38.

(Step SP38)
The prediction means 116 predicts the congestion status of the store 16 at the date and time to be predicted based on the number of people in the store O1. Specifically, the prediction unit 116 predicts the congestion degree (%) as the congestion state by multiplying the value obtained by dividing the number of people in the store O1 by the allowable number set in advance by 100. For example, if the number O1 of people in the store is 10 and the allowable number of people is 50, the degree of congestion is 20% (= 10 × 50 × 100). After prediction, the prediction means 116 stores this prediction result in the prediction result table 100D. The congestion status may be expressed, for example, by the presence or absence of congestion. Then, the prediction process illustrated in FIG. 6 ends. When the manager sets the type and the number of game devices 12 in the management system 1, the allowable number of people is determined.

<(3) Output process>
FIG. 7 is a flowchart showing a flow of output processing of a prediction result, which is executed by the management system 1. This output process is started when the terminal device 14 receives a search instruction operation by the player.

(Step SP60)
The terminal device 14 transmits a search page request for requesting a search page for searching for a prediction result to the server device 10 in response to the search instruction operation of the player. Then, the process proceeds to the process of step SP62.

(Step SP62)
The server device 10 receives a search page request from the server device 10. In response to this, the output unit 118 of the server device 10 transmits the search page to the terminal device 14. Then, the process proceeds to the process of step SP64.

(Step SP64)
The terminal device 14 receives a search page from the server device 10. In response to this, the terminal device 14 displays the received search page. Then, the process proceeds to the process of step SP66.

(Step SP66)
The terminal device 14 receives an input of a search condition by the player. Then, the process proceeds to the process of step SP68. The search condition includes, for example, the date and time in the future.

(Step SP68)
The terminal device 14 transmits a search request including the received search condition to the server device 10. Then, the process proceeds to the process of step SP70.

(Step SP70)
The server device 10 receives the search request. In response to this, the output means 118 searches for a prediction result that matches the search condition from among the plurality of prediction result tables 100D. Then, the process proceeds to the process of step SP72.

(Step SP72)
The output unit 118 transmits the retrieved prediction result to the terminal device 14. Then, the process proceeds to the process of step SP74.

(Step SP74)
The terminal device 14 receives the prediction result from the server device 10. In response to this, the terminal device 14 displays the received prediction result. At this time, the terminal device 14 may graph and display the prediction result. When the prediction means 116 also predicts the player class in the store, the player class may be graphed and displayed. Then, the output process ends.

<Function>
As described above, according to the present embodiment, since the future store situation is predicted based on the browse information indicating that the related information has been browsed, for example, the user simply visits the store 16 without making a reservation simply by browsing the relevant information. The prediction can be made in consideration of such a player, and thus the prediction accuracy can be enhanced.

  Moreover, according to the present embodiment, since the future store situation is predicted based on both the browsing information and the reservation information, the prediction accuracy can be further enhanced compared to the case where prediction is performed based only on the browsing information. .

<Modification>
The present invention is not limited to the above embodiment. That is, those in which a person skilled in the art makes appropriate design changes to the above embodiment are also included in the scope of the present invention as long as they have the features of the present invention. Moreover, each element with which the above-mentioned embodiment is equipped can be combined as much as technically possible, and what combined these is also included in the scope of the present invention as long as the feature of the present invention is included.

  For example, although the case where the server apparatus 10 is installed in the store has been described in the present embodiment, the server apparatus 10 may be installed outside the store, such as a management company that manages the store 16.

  Moreover, although the case where the condition of the whole store, such as the crowded condition, is predicted is described as the store condition in the above-mentioned embodiment, in addition to the condition of the whole store or instead of the situation of the whole store, a part of the store 16 You may predict the situation of Examples of the status of a part of the store 16 include the status of a specific game device 12 and the status of a specific group such as a group configured of the game device 12 providing a game.

  Further, although the case where the number of reservations I1 and the number of browsing I2 are input to the prediction function 100C has been described in the above embodiment, the browsing history described in the browsing history table 100B may be input as it is.

  Further, in the above embodiment, the case where the store situation is predicted using the prediction function 100C has been described, but instead of or in combination with the prediction function 100C, the probability that the reserved player visits the shop is It is also possible to analyze and predict the number of players who made reservations in the future store (the number of people in the store) based on the analysis result. For example, a player having a large number of browsing times may set the visit probability high, and a player having a low browsing frequency may set the visit probability small, and predict the number of people in the store based on the total value of the probabilities. As a result, the number of people in the store can be predicted in consideration of a player who has made a reservation but does not actually come to the store 16, and the prediction accuracy can be enhanced.

  Moreover, although the case where a shop condition is forecasted using the prediction function 100C was demonstrated in the said embodiment, you may forecast a shop situation using the visit probability table instead of the prediction function 100C. In this visit probability table, for example, the visit probability is described for each day of the week and for each hour. The probability of coming to the store is, for example, 0.003% at 10 o'clock on weekdays and 0.1% at 10 o'clock on weekends and holidays. The visit probability is the probability that the viewer who browsed the reservation information once visits the store 16, and is the probability calculated from the past visit results. When using the arrival probability table, the prediction means 116 is based on the number of reserved people N1 of the future date, the number N2 of browsed players who browsed the reservation information of the future date, and the visit probability S corresponding to the future date. Predict the number of people in the store at a future date and time. For example, the prediction unit 116 may add a value obtained by subtracting the reservation number N1 from the viewing number N2 and multiplying the visit probability S with respect to the reservation number N1, and may predict the addition result as the number N3 of stores N3 = N1 + (N2-N1) × S).

  Further, in the above-described embodiment, the prediction means 116 has described the case of predicting the future store situation based on the browsing information and the reservation information, but the future store situation may be predicted based on only the browsing information . In this case, for example, only browsing information is input to the prediction function 100C, whereby the number of people in the future is output.

  Further, the prediction means 116 may predict the future store situation based on other information in addition to or instead of reservation information or browsing information. For example, the prediction unit 116 may use, as other information, position information of a player who browses related information, posting information posted on a web page for the game apparatus 12, and acquisition unit 114 or position information set in advance. The prediction may be made based on weather information around the acquired store 16 or around the player who browsed the related information, player information of the player in the game apparatus 12, and the like. As a result, it is possible to improve the prediction accuracy of the store situation. In this case, first, the acquisition unit 114 acquires information used by the prediction unit 116 such as the position information described above, and the prediction unit 116 inputs weather information, position information, and the like to the prediction function 100C, whereby the future Predict the store situation. The player information is play data indicating the play status when the player plays the game of the game apparatus 12, the history of the player's visit to the store 16, the budget information of the player for playing the game of the game apparatus 12, The number of game plays of the game device 12 and the like are included.

  For example, in the case of predicting based on the position information of the player, the acquisition unit 114 acquires, from the terminal device 14, the current position information or the position information when the reservation information is browsed. Then, the prediction means 116 calculates the distance from the position indicated by the position information to the position of the store 16 and predicts the congestion status in the crowded direction if the distance is short, and the congestion status in the direction not crowded if the distance is long Predict. Further, based on the position information, it is determined whether or not the player who has already visited the store has already visited the store, and if the player who browsed the reservation information has already visited the store, the prediction means 116 checks the browsing information of the players who have already visited the store Treat as information that does not affect The position information is acquired by using the Wifi (registered trademark) access point, in addition to the terminal device 14 acquiring using the GPS (Global Positioning System) when requested by the acquiring unit 114.

  Further, in the case of predicting based on the posting information, the acquiring unit 114 acquires posting information on the game apparatus 12 by accessing a server that manages the web page via the communication network NT. Then, the prediction means 116 predicts the congestion state in the crowded direction if there is a lot of information suggesting coming to the store in the posting information after judging whether there is information suggesting coming to the store in the posting information. And if there is little information that suggests coming to the store information, forecast the crowded situation in the direction not crowded.

  In the case of prediction based on weather information, the acquisition unit 114 acquires weather information by accessing a server posting weather information via the communication network NT. Then, the prediction means 116 predicts the congestion status in the direction of congestion when the weather information indicates sunny, and predicts the congestion status in the direction of no congestion when the weather information indicates rain.

  Further, in the case of predicting based on the player information, the acquisition means 114 acquires the player information by accessing the server that manages the player information. The prediction means 116 predicts a crowded state in the crowded direction when the player information indicates that the number of times the player has visited the store is large, and crowds in a direction not crowded if the player information indicates that the number of times the player has visited the store is small. Predict the situation. In addition, when the player information indicates that the number of times of playing the game corresponding to the information browsed by the player is large, the prediction means 116 predicts the crowded state in the crowded direction, and the player information is information browsed by the player If it indicates that the number of times the game corresponding to the game is played is small, the crowded state is predicted in a direction that is not crowded. When predicting based on the player information, by utilizing not only the visit history but also the game viewing history, even if the player is a player who has never visited the past, he / she can play many browsed games. In the case of the player who is the player, it is possible to predict the future congestion situation more accurately, for example, by increasing the probability of coming to the store.

  In the embodiment for carrying out the above-described invention, the information acquired by the acquisition means 114 (for example, weather information, position information of the player, etc.) changes with time, so one change amount of the congestion state for every constant time The above threshold is set, and the prediction means 116 increases the frequency of acquiring information when the change in congestion status exceeds the threshold, and acquires information when the change in congestion status falls below the threshold. The accuracy of the service may be improved while dynamically controlling the frequency to reduce the processing load of the management system 1.

  Moreover, although the said embodiment demonstrated the case where the server apparatus 10 was provided in a shop, you may be provided out of a shop. In this case, the server device 10 may manage the game devices 12 of a plurality of stores 16 or a specific game.

10: server apparatus (information processing apparatus) 114: acquisition means 116: prediction means

Claims (7)

Storage means for storing the browsing history table and the prediction result table;
Acquisition means for acquiring browsing information indicating that the related information related to the game device installed in the store is browsed by the player terminal, and storing the browsing information in the browsing history table ;
The browsing history of the related information is determined with reference to the browsing history table, and the future store 's condition is predicted for the store based on the obtained browsing history and the current store condition, and the prediction result table is displayed. Prediction means for storing a prediction result , wherein the state of the store includes information indicating a situation of a player in the store or a situation of a game device installed in the store ;
Accepts specification of a predetermined future time point from the player terminal, refers to the prediction result table, acquires a prediction result indicating the state of the future store at the specified time, and outputs the specification to the player terminal that accepted the specification Output means for
An information processing apparatus comprising: The related information includes reservation information of the game device,
An information processing apparatus according to claim 1. The acquisition means further specifies player information having browsed the related information,
The prediction means, the browsing history obtained, said the current state of the store, the game of the player corresponding to the visit history及beauty before Symbol player information of the player to the shop of the player corresponding to the player information based on at least any one bets play history of the device predicts the state of the future store,
The information processing apparatus according to any one of claims 1 and 2. The acquisition means further acquires position information of the player terminal that has browsed the related information,
Said predicting means, said comparing position information of the player terminal and the position information of the store, and the browsing history obtained, said the current state of the store, based on the result of the comparison, the future store Predict the condition ,
The information processing apparatus according to any one of claims 1 and 2. The prediction means controls an event related to the game device based on the prediction result stored in the prediction result table .
The information processing apparatus according to any one of claims 1 to 4. The prediction means performs control to change any one of a play fee paid by the player, a reward given to the player by the game device, and an advertisement for the player as the event.
The information processing apparatus according to claim 5. Computer,
Storage means for storing the browsing history table and the prediction result table;
Acquisition means for acquiring browsing information indicating that the related information related to the game device installed in the store is browsed by the player terminal, and storing the browsing information in the browsing history table ;
The browsing history of the related information is determined with reference to the browsing history table, and the future store 's condition is predicted for the store based on the obtained browsing history and the current store condition, and the prediction result table is displayed. Prediction means for storing a prediction result , wherein the state of the store includes information indicating a situation of a player in the store or a situation of a game device installed in the store ;
Accepts specification of a predetermined future time point from the player terminal, refers to the prediction result table, acquires a prediction result indicating the state of the future store at the specified time, and outputs the specification to the player terminal that accepted the specification Output means for
A program to function as