JP6391774B1 - Determination apparatus, determination method, and determination program - Google Patents

Abstract

An apparatus, method, and program for determining information having a high appealing effect to a user are provided.
A determination apparatus according to the present application includes an acquisition unit and a determination unit. An acquisition part acquires the play information regarding the user's play in a game. The determination unit is behavior information regarding other users whose play information (for example, play time) acquired by the acquisition unit is similar to a predetermined user, and behavior information in services other than games (for example, electronic commerce service, video) Information other than the game to be distributed to a predetermined user is determined based on the behavior information in the distribution service).
[Selection] Figure 4

Description

  The present invention relates to a determination device, a determination method, and a determination program.

  In recent years, with the rapid spread of the Internet, information distribution based on information acquired via a network is actively performed. For example, targeting distribution is performed in which an attribute of a user serving as a distribution destination of information is registered in advance as distribution destination information, and an advertisement corresponding to the attribute of the user serving as a distribution destination is selectively distributed.

Japanese Patent Laying-Open No. 2015-230717

  However, the above-described conventional technology cannot always determine information with a high appealing effect to the user. For example, in the above-described conventional technology, only an advertisement corresponding to the attribute of the user is distributed, and it is not always possible to determine information that has a high appealing effect to the user.

  The present application has been made in view of the above, and an object thereof is to provide a determination device, a determination method, and a determination program that can determine information with a high appealing effect to the user.

  The determination device according to the present application is an acquisition unit that acquires play information regarding a user's play in a game, and action information regarding another user whose play information acquired by the acquisition unit is similar to a predetermined user, other than the game And a determination unit that determines information other than the game distributed to the predetermined user based on action information in the service.

  According to one aspect of the embodiment, there is an effect that information having a high appeal effect to the user can be determined.

FIG. 1 is a diagram illustrating an example of a determination process according to the first embodiment. FIG. 2 is a diagram illustrating an example of a selection page according to the first embodiment. FIG. 3 is a diagram illustrating an example of a game page according to the first embodiment. FIG. 4 is a diagram illustrating a configuration example of the determination device according to the first embodiment. FIG. 5 is a diagram illustrating an example of play information according to the first embodiment. FIG. 6 is a flowchart illustrating an example of a determination processing procedure according to the first embodiment. FIG. 7 is a diagram illustrating an example of a determination process according to the second embodiment. FIG. 8 is a diagram illustrating a configuration example of the determination device according to the second embodiment. FIG. 9 is a hardware configuration diagram illustrating an example of a computer that realizes the function of the determination apparatus.

  Hereinafter, a determination apparatus, a determination method, and a mode for executing a determination program (hereinafter referred to as “embodiment”) according to the present application will be described in detail with reference to the drawings. Note that the determination device, the determination method, and the determination program according to the present application are not limited by this embodiment. In the following embodiments, the same portions are denoted by the same reference numerals, and redundant description is omitted.

[1. First Embodiment]
[1-1. Example of decision process)
An example of the determination process according to the first embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of a determination process according to the first embodiment. In the example illustrated in FIG. 1, the determination system 1 includes a terminal device 10, an external device 50, and a determination device 100. The terminal device 10, the external device 50, and the determination device 100 are connected to be communicable by wire or wireless via a predetermined communication network (not shown). The determination system 1 illustrated in FIG. 1 may include a plurality of terminal devices 10, a plurality of external devices 50, and a plurality of determination devices 100.

  The terminal device 10 is an information processing device used by a user. The terminal device 10 is realized by, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. The terminal device 10 displays the content provided by the determination device 100 using a web browser or an application. In the example illustrated in FIG. 1, a case where the terminal device 10 is a notebook PC used by a user is illustrated. Hereinafter, the terminal device 10 may be referred to as a user. That is, hereinafter, the user can be read as the terminal device 10. In the following, a user identified by a user ID “UN” (N is an arbitrary number) may be referred to as “user UN”. Further, the example illustrated in FIG. 1 illustrates a case where the terminal device 10 is a notebook PC used by the user U1.

  The external device 50 is an information distribution device that provides services other than those provided by the determination device 100, and is realized by, for example, a server device or a cloud system. The service provided by the external device 50 to the user U1 may be any service as long as it is a service other than the service provided by the determination device 100. For example, the external device 50 may provide electronic commerce services such as shopping and auction for trading products, video distribution services for distributing various videos, services related to predetermined facility reservations such as accommodation facilities and restaurants, etc. A service for managing the information may be provided. In the example illustrated in FIG. 1, the external device 50 is described as an example of an information processing device that provides an electronic commerce service and a moving image distribution service to a user. Further, in the example illustrated in FIG. 1, the storage unit of the external device 50 stores behavior information regarding the user's behavior on the electronic commerce service and the moving image distribution service. For example, the storage unit of the external device 50 stores information on products that each user has ordered or browsed most in the electronic commerce service during a predetermined period (for example, the last one week). In addition, the storage unit of the external device 50 stores information related to a moving image most viewed by the moving image distribution service in a predetermined period (for example, the latest one week).

  The determination apparatus 100 is a service information display that displays information relating to a game providing area for providing a game and products and services recommended to the user, and information other than the game (hereinafter may be referred to as “service information”). Distribute content that includes regions. The content provided by the determination device 100 may be a web page displayed on a browser mounted on the terminal device 10 or an application content displayed on an application mounted on the terminal device 10. In the following, it is assumed that the content provided by the determination device 100 is a web page. In the first embodiment, the service information is an advertisement related to a service other than a game. The service information distributed by the determination apparatus 100 includes service information related to various services such as products (shopping), moving images, and facility reservations.

  In the example of FIG. 1, it is assumed that the user U1 has used an electronic commerce service and a moving image distribution service provided by the external device 50. In the first embodiment, it is assumed that the determination device 100 has already delivered a web page for selecting a game (hereinafter referred to as a selection page) to the terminal device 10.

  Here, an example of the selection page W1 for selecting a game will be described with reference to FIG. FIG. 2 is a diagram illustrating an example of the selection page W1 according to the first embodiment. As shown in FIG. 2, the selection page W1 includes regions CT1 to CT3 for selecting a game distributed by the determination device 100. In the example of FIG. 2, content for selecting game A is displayed in region CT1, content for selecting game B is displayed in region CT2, and content for selecting game C is displayed in region CT3. Is displayed. For example, in the example of FIG. 2, when the region CT <b> 1 is selected by the user, the terminal device 10 transmits a game A distribution request to the determination device 100.

  Returning to FIG. 1, an example of the determination process according to the first embodiment will be described. First, as illustrated in FIG. 1, the determination device 100 receives a game distribution request from the terminal device 10 (step S <b> 11). For example, when the user U1 operates the terminal device 10 and selects (clicks) any of the regions CT1 to CT3 of the selection page W1 displayed on the terminal device 10, the terminal device 10 is one of the regions CT1 to CT3. A game distribution request corresponding to is transmitted. Then, the determination device 100 receives a game distribution request from the terminal device 10. In the example of FIG. 1, it is assumed that the determination device 100 has received a distribution request for the game A corresponding to the region CT1.

  Subsequently, the determination device 100 acquires play information of the game for which the distribution request has been received (step S12). Here, the play information is information related to the user's play in the game. For example, in the example of FIG. 1, the determination device 100 acquires the play time of each user of the game A as play information from the storage unit of the determination device 100. For example, the determination apparatus 100 acquires the play time “14 (time)” of the game A of the user U1 as play information. Thus, the determination apparatus 100 acquires the play time of the game A of each user shown by the users U1-U6 as play information.

  Subsequently, the determining apparatus 100 determines another user (hereinafter referred to as a similar user) similar to the user U1 among the users U2 to U6 based on the play information of the game (step S13). Here, the similar user is a user whose play information acquired by the determining apparatus 100 in step S12 is similar to the user U1. For example, in the example of FIG. 1, the determination device 100 determines similar users based on the acquired play time of each user's game. Specifically, the determination device 100 classifies play times into types such as “0-10”, “11-50”, “51-100”, and “101-”, and classifies each user based on the play time. Thus, similar users are determined. Here, “0-10” means a game play time of 0 to 10 hours, “11-50” means a game play time of 11 to 50 hours, and “51-100”. Means a game play time of 51 to 100 hours, and "101-" means a game play time of 101 hours or more. In the example of FIG. 1, the determination device 100 classifies the user U3 into the type of play time “0-10”, classifies the users U1, U2, U4, and U6 into the type of play time “11-50”, and U5 is classified into the type of play time “51-100”. In this case, the determination apparatus 100 determines that the users U2, U4, and U6 are similar users because the user U1 is a user classified into the type of play time “11-50”.

  Subsequently, the determination device 100 acquires behavior information of similar users (step S14). Specifically, the determination apparatus 100 acquires action information regarding the actions of the users U2, U4, and U6 on the electronic commerce service and the moving image distribution service provided by the external apparatus 50 from the storage unit of the external apparatus 50. For example, in the example of FIG. 1, the determination apparatus 100 acquires information regarding “product A” and information regarding “moving image B” as the behavior information of the user U2. As described above, the determination device 100 acquires the behavior information of the users U2, U4, and U6 from the storage unit of the external device 50.

  Subsequently, the determination device 100 determines an advertisement to be distributed to the user U1 based on the behavior information of the similar user (Step S15). Specifically, in the example of FIG. 1, the determination device 100 uses the information about “product A” and “product B” ordered or viewed by the users U2, U4, and U6 in the electronic commerce service, and the video distribution service. The advertisement is determined based on the information related to the viewed “moving image B” and “moving image C”. And the determination apparatus 100 delivers the web page (henceforth a game page) containing the game provision area | region for playing the game A, and an advertisement to the terminal device 10 (step S16).

  Here, an example of the game page W2 distributed by the determination device 100 will be described with reference to FIG. FIG. 3 is a diagram illustrating an example of the game page W2 according to the first embodiment. As shown in FIG. 3, the game page W2 includes a game providing area G1 in which the game A can be played, and an advertisement display area RC1 in which an advertisement determined based on the behavior information of the similar user is displayed.

  As illustrated in FIG. 3, the determination device 100 may provide advertisements ranked according to the behavior information of similar users. Specifically, the determination apparatus 100 gives a high ranking according to the number of orders or the number of browsing in the electronic commerce service or the number of browsing of the moving images browsed in the moving image distribution service. For example, in the example of FIG. 1, among the behavior information of the users U2, U4, and U6, the most frequently ordered or browsed product in the electronic commerce service is “product B”, so the determination device 100 is displayed as an advertisement. "Product B" is given the ranking "1st place".

  In this way, the determination device 100 distributes the game page W2 in which the advertisement is incorporated to the terminal device 10, thereby causing the selection page W1 to transition to the game page W2, and playing the game to the user in a state where the advertisement is viewable. Make it playable.

  As described above, the determination apparatus 100 according to the first embodiment determines a similar user that is similar to a predetermined user based on game play information, and determines an advertisement based on behavior information of another service of the similar user. To users. Thereby, the determination apparatus 100 which concerns on 1st Embodiment can determine the advertisement which is information with a high appeal effect to a user. For example, it is conceivable that users with similar game-specific user information (play information) such as game play time have similar hobbies and preferences for products and services other than games. Specifically, each user classified as a “heavy user” having a long game play time may have a high interest in goods related to the game, information on game capture videos, and the like. That is, the determination apparatus 100 according to the first embodiment can increase the advertisement appeal effect by determining the advertisement based on the hobbies and preferences of similar users with similar game play information.

[1-2. Configuration of decision device]
Next, the configuration of the determination apparatus 100 according to the first embodiment will be described with reference to FIG. FIG. 4 is a diagram illustrating a configuration example of the determination apparatus 100 according to the first embodiment. As illustrated in FIG. 4, the determination apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130. The determination device 100 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator of the determination device 100 and a display unit (for example, a liquid crystal display) for displaying various types of information. May be.

(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 by wire or wirelessly and transmits / receives information to / from the determination device 100, the terminal device 10, the external device 50, and the like.

(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 shown in FIG. 4, the storage unit 120 according to the first embodiment includes a play information storage unit 121.

(About the play information storage unit 121)
The play information stored in the play information storage unit 121 is information including various types of information related to user play in the game. FIG. 5 is a diagram illustrating an example of play information according to the first embodiment. As shown in FIG. 5, the play information includes items such as “user ID”, “user name”, “billing amount”, “play time”, and “rank”.

  “User ID” indicates identification information for identifying a user. “User name” indicates the name of the user. “Billing amount” indicates the amount that the user has charged for the game (for example, the unit is a yen). “Play time” indicates the time when the user played the game. “Rank” indicates the rank of the user in the game. Note that the ranking of the user in the game may be set based on the score in the game, the progress of the game, and the like.

  The play information stored in the play information storage unit 121 may further include an item such as “degree of progress”. The “degree of progress” indicates the degree of progress of the user's game. Specifically, the “progress degree” may be a progress degree of a game story, a character level, a character parameter, or the like.

  The play information stored in the play information storage unit 121 may further include an item such as “operation information”. “Operation information” indicates information related to a predetermined operation performed by the user in the game. For example, the “operation information” may include items of types such as “attack”, “defense”, “recovery / assistance”, and “character selection”. “Attack” indicates the number of times operations related to attacks are performed in the game. “Defense” indicates the number of operations related to defense in the game. “Recovery / assistance” indicates the number of times an operation related to recovery or assistance is performed in the game. “Character selection” indicates the number of times a specific character is selected or used in the game.

  Further, the play information stored in the play information storage unit 121 may further include items such as “day of the week” and “time zone”. “Day of the week” indicates the day of the week on which the player played the game. The “time zone” may include items of types such as “morning”, “daytime”, “evening”, “night”, and “midnight”. “Morning” indicates a time zone of 4-10 o'clock. “Daytime” indicates a time zone from 10 to 15:00. “Evening” indicates a time zone from 15 to 19 o'clock. “Night” indicates a time zone from 19 to 22:00. “Midnight” indicates a time zone from 22 to 4 o'clock.

(About the control unit 130)
Returning to the description of FIG. 4, the control unit 130 is a controller, and is stored in a storage device inside the determination apparatus 100 by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). Various programs (corresponding to an example of a determination program) are implemented by using the RAM as a work area. The control unit 130 is 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. 4, the control unit 130 according to the first embodiment includes a reception unit 131, an acquisition unit 132, a determination unit 133, a determination unit 134, and a distribution unit 135, which will be described below. Realize or execute information processing functions and actions.

(About the reception unit 131)
The accepting unit 131 accepts a game distribution request from the user. For example, in the example of FIG. 1, when any of the areas CT1 to CT3 of the selection page W1 displayed on the terminal device 10 is selected by the user, the reception unit 131 receives a game distribution request from the terminal device 10. .

(About the acquisition unit 132)
The acquisition unit 132 acquires play information related to the user's play in the game from the play information storage unit 121. Specifically, the acquisition unit 132 acquires the play information of each user in the game for which the distribution request has been received. For example, the acquisition unit 132 acquires, from the play information storage unit 121, as play information, at least one of a charge amount, a play time, a progress degree, and a rank in the game.

(About the determination unit 133)
The determination unit 133 determines a similar user that is another user similar to the predetermined user based on the play information acquired by the acquisition unit 132. For example, the determination unit 133 determines similar users based on play information such as “play time”, “charge amount”, and “rank”. For example, the determination unit 133 classifies each piece of play information into a plurality of types, and determines that a user classified into the same type as a predetermined user is a similar user. Specifically, in the example of FIG. 1, the determination unit 133 classifies the play time into types such as “0-10”, “11-50”, “51-100”, and “101-”, and determines a predetermined user. Are classified as similar users.

  The determination unit 133 may determine another user whose behavior pattern estimated based on the play information acquired by the acquisition unit 132 is similar to a predetermined user as a similar user. Specifically, the determination unit 133 classifies the users into types such as “heavy charge user”, “charge user”, and “no charge user” based on the play information of “charge amount”, and is the same as the predetermined user The user classified into the type is determined as a similar user. The “heavy charge user” indicates a user who has made a charge for a game exceeding a predetermined threshold. “Billing user” indicates a user who does not exceed a predetermined threshold but charges a game. “Non-charge user” indicates a user who is not charged for the game. In addition, the determination unit 133 classifies the users into types such as “advanced user”, “intermediate user”, and “beginner user” based on the play information of “ranking”, and a user classified into the same type as the predetermined user Are determined to be similar users. The “advanced user” indicates a user who exceeds a predetermined rank indicating an advanced level in the game. The “intermediate user” indicates a user who does not exceed a predetermined rank indicating an advanced level in the game but exceeds a predetermined rank indicating an intermediate level. “Beginner user” indicates a user who does not exceed a predetermined rank indicating intermediate in the game.

  In addition, when the acquisition unit 132 acquires play information including “operation information”, the determination unit 133 has an operation characteristic (behavior pattern in the game) estimated based on the play information as a predetermined user. Other similar users may be determined as similar users. Specifically, the determination unit 133 classifies the users into types such as “attack type”, “defense type”, and “support type”, and determines a user classified into the same type as the predetermined user as a similar user. “Attack type” indicates a user who has performed many operations related to attacks in the game. “Defensive type” indicates a user who has performed many operations related to defense in the game. “Support type” indicates a user who has performed many operations relating to recovery or assistance in the game. Further, the determination unit 133 classifies the users who have a large number of selected or used specific characters in the game based on the information of “character selection” into the types for each character, and is classified into the same type as the predetermined user. Are determined to be similar users.

  In addition, when the acquisition unit 132 acquires play information including items such as “play time”, “day of the week”, and “time zone”, the determination unit 133 estimates the frequency of playing the game, which is estimated based on the play information, At least one of the time to play the game continuously and the time zone to play the game (the user's offline behavior pattern (life pattern) estimated from the play information (online information)) is similar to the predetermined user Another user who performs the determination may be a similar user. Specifically, the determination unit 133 classifies the users into categories such as “heavy user”, “light user”, “student”, and “member of society”, and classifies users classified into the same category as the predetermined user. Is determined. “Heavy user” indicates a user who frequently plays a game and has a long time to play the game continuously. The “light user” indicates a user who has a low frequency of playing the game and has a short time to play the game continuously. “Student” indicates a user whose time zone for playing the game is “evening” or “night”. “Society” indicates a user whose time zone for playing the game is “night” or “midnight”.

  In addition, the determination unit 133 uses all the play information such as “play time”, “charge amount”, “rank”, “operation information”, “day of the week”, “time zone”, and the like. The degree may be determined.

(About the determination unit 134)
The determination unit 134 acquires action information regarding a similar user that is another user similar to the predetermined user. Specifically, in the example of FIG. 1, the determination unit 134 relates to a product that a similar user has ordered or browsed the most in the electronic commerce service during a predetermined period (for example, the latest one week) from the storage unit of the external device 50. Information is acquired as action information. In addition, in the example of FIG. 1, the determination unit 134 uses, as action information, information related to a video that a similar user has most viewed in the video distribution service during a predetermined period (for example, the latest one week) from the storage unit of the external device 50. get.

  And the determination part 134 is action information regarding a similar user whose play information acquired by the acquisition part 132 is another user similar to the predetermined user, and is based on the action information in a service other than the game. The advertisement which is information other than the game delivered to a user is determined. Specifically, the determination unit 134 is a game distribution request based on the behavior information of the similar user determined by the determination unit 133 and acquired from the storage unit of the external device 50 by the acquisition unit 132. Determine the ads that will be delivered to the original user. In addition, when the advertisement is prepared in advance, the determination unit 134 selects the advertisement to be distributed based on the behavior information of the similar user. For example, the determination unit 134 selects an advertisement related to the product A when the behavior information of the similar user indicates the purchase of the product A. Further, the determination unit 134 determines the selection page W1 shown in FIG. 2 and the game page W2 shown in FIG.

  Note that the determination unit 134 may determine an advertisement that is information other than a game based on behavior information related to another user whose behavior pattern estimated based on the play information is similar to a predetermined user. For example, as described above, the determination unit 134 determines the advertisement based on the behavior information of the similar user determined based on the play information related to “billing amount” and “rank”.

  Moreover, the determination part 134 may deliver information other than a game based on the action information regarding the other user with the operation characteristic in a game estimated based on play information and similar to a predetermined user. For example, as described above, the determination unit 134 determines the advertisement based on the behavior information of the similar user determined based on the play information regarding “operation information”.

  In addition, the determining unit 134 is similar to a predetermined user in that at least one of the frequency of playing the game, the time of playing the game continuously, and the time of playing the game estimated based on the play information is similar to the predetermined user Information other than the game may be distributed based on the action information regarding the user. For example, as described above, the determination unit 134 determines an advertisement based on behavior information of similar users determined based on play information regarding “play time”, “day of the week”, and “time zone”.

  Further, the determination unit 134 may determine an advertisement that is information other than the game ranked according to the behavior information. For example, in the example of FIG. 1, the determination unit 134 assigns a high ranking to a product or a moving image related to an advertisement according to the number of orders or the number of browsing in the electronic commerce service or the number of browsing in the video distribution service.

  Further, the determination unit 134 may determine an advertisement that is information on a service other than a game and is information on a service related to at least one of a product, a video, and a facility reservation. Specifically, the determination unit 134 determines an advertisement related to a product traded on the electronic commerce service. Further, the determination unit 134 determines an advertisement related to a moving image that can be viewed with the moving image distribution service. The determination unit 134 also determines advertisements related to reservations for various facilities such as hotels and restaurants that can be reserved on the facility reservation site.

  In addition, the determination unit 134 is an area included in content (web page in the example of FIG. 1) that provides a service related to a game in a predetermined area, and is information other than the game displayed in an area other than the predetermined area. An advertisement may be determined. For example, the determination unit 134 determines an advertisement to be displayed in the advertisement display area RC1 of the game page W2, as shown in FIG.

(About distribution unit 135)
The distribution unit 135 distributes the advertisement determined by the determination unit 134 to the user. For example, in the example of FIG. 1, the distribution unit 135 distributes, to the terminal device 10, a web page including a game providing area for playing a game and the advertisement determined by the determination unit 134.

[1-3. Decision process flow)
Here, the procedure of the determination process of the determination system 1 according to the first embodiment will be described with reference to FIG. FIG. 6 is a flowchart illustrating an example of a determination processing procedure according to the first embodiment.

  As illustrated in FIG. 6, the determination device 100 determines whether or not a game distribution request has been received from the user from the terminal device 10 (step S <b> 101). And the determination apparatus 100 waits until a request is received, when the distribution request is not received (step S101; No).

  On the other hand, when a distribution request is received (step S101; Yes), the determination apparatus 100 acquires user play information (step S102). In the example of FIG. 1, the determination device 100 acquires the play time of each user of the game from the storage unit of the determination device 100 as play information.

  Subsequently, the determining apparatus 100 determines a similar user whose play information is similar to the user who has received the game distribution request (step S103). Subsequently, the determination apparatus 100 acquires action information of similar users (step S104). In FIG. 1, the determination device 100 acquires behavior information of similar users from the storage unit of the external device 50 that provides services other than games.

  Subsequently, the determination device 100 determines an advertisement based on the behavior information of the similar user (Step S105). Subsequently, the determining apparatus 100 distributes the determined page (step S106) and ends the process. In the example of FIG. 1, the determination device 100 distributes a game page including a game providing area for playing a game and an advertisement.

[2. Second Embodiment]
[2-1. Example of decision process)
Next, a second embodiment will be described. In the first embodiment described above, the determination device 100 includes a game page W2 including a game providing area in which a game can be played and an advertisement display area in which an advertisement determined based on behavior information of similar users is displayed. The process of delivering has been described. In the second embodiment, a server device that provides a game service has a game page (hereinafter referred to as game page W3) including a game providing area in which a game can be played and an advertisement display area in which an advertisement is displayed. An example is shown in which the determination device 200 distributes the advertisement displayed on the game page W3 and distributed to the device 10.

  FIG. 7 is a diagram illustrating an example of a determination process according to the second embodiment. In the example illustrated in FIG. 7, the determination system 2 includes a terminal device 10, an external device 50, a server device 101, and a determination device 200. The terminal device 10, the external device 50, the server device 101, and the determination device 200 are connected to be communicable by wire or wireless via a predetermined communication network (not shown). 7 may include a plurality of terminal devices 10, a plurality of external devices 50, a plurality of server devices 101, and a plurality of determination devices 200.

  Since the terminal device 10 according to the second embodiment has the same configuration as the terminal device 10 according to the first embodiment, description thereof is omitted.

  The external device 50 according to the second embodiment has the same configuration as the external device 50 according to the first embodiment, except that the external device 50 is an information distribution device that provides services other than the services provided by the server device 101. Therefore, the description is omitted.

  The server apparatus 101 according to the second embodiment distributes to the terminal device 10 a game page W3 including a game providing area where a game can be played and an advertisement display area where an advertisement is displayed.

  The determination apparatus 200 according to the second embodiment distributes the advertisement displayed in the advertisement display area of the game page distributed by the server apparatus 101 to the terminal apparatus 10.

  In the example of FIG. 7, it is assumed that the user U1 has used an electronic commerce service and a moving image distribution service provided by the external device 50. In the second embodiment, it is assumed that the server apparatus 101 has already delivered the selection page W1 for selecting a game to the terminal apparatus 10.

  First, as shown in FIG. 7, the server apparatus 101 receives a game distribution request from the terminal apparatus 10 (step S21). Note that the process of step S21 is the same process as step S11 shown in FIG.

  Subsequently, the server apparatus 101 delivers a game page W3 including a game providing area and an advertisement information display area (step S22). At this time, the server apparatus 101 distributes the game page W3 including the advertisement acquisition command for acquiring the advertisement displayed in the advertisement display area. For example, the game page W3 distributed by the server device 101 is formed by an HTML file described in HTML (Hyper Text Markup Language), an XML file described in XML (Extensible Markup Language), or the like. Further, in the HTML file or the like that forms the page, the URL of the determination device 200 is described as an advertisement acquisition command.

  Subsequently, the terminal device 10 transmits an advertisement request for requesting an advertisement to the determination device 200 based on the advertisement acquisition command included in the game page W3 distributed in step S22. And the determination apparatus 200 receives the delivery request | requirement of an advertisement from the terminal device 10 (step S31). At this time, the terminal device 10 transmits an advertisement request including information related to a game that can be played on the game page W3 (for example, identification information for identifying the game). The information regarding the game may be various information as long as the game can be identified.

  When the determination device 200 receives an advertisement request, the determination device 200 acquires play information of the game based on the information about the game included in the advertisement request (step S32).

  Subsequently, the determination device 200 determines a similar user similar to the user U1 of the terminal device 10 (step S33), and acquires behavior information of the similar user from the external device 50 (step S34).

  Subsequently, the determination device 200 determines an advertisement to be distributed based on the behavior information of the similar user (Step S35), and distributes the determined advertisement to the terminal device 10 (Step S36). Thereby, the terminal device 10 displays the advertisement distributed from the determination device 200 in the advertisement display area of the game page W3.

[2-2. Configuration of decision device]
Next, the configuration of the determination apparatus 200 according to the second embodiment will be described with reference to FIG. FIG. 8 is a diagram illustrating a configuration example of the determination device 200 according to the second embodiment. As illustrated in FIG. 8, the determination apparatus 200 includes a communication unit 210, a storage unit 220, and a control unit 230. The determination device 200 includes an input unit (for example, a keyboard and a mouse) that receives various operations from an administrator of the determination device 200 and a display unit (for example, a liquid crystal display) for displaying various types of information. May be.

(About the communication unit 210)
The communication unit 210 is realized by a NIC or the like, for example. The communication unit 210 is connected to the network by wire or wirelessly, and transmits / receives information to / from the determination device 200, the server device 101, the external device 50, the terminal device 10, and the like.

(Regarding storage unit 220)
The storage unit 220 is realized by, for example, a semiconductor memory element such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. Note that the storage unit 220 may temporarily store play information acquired by the acquisition unit 232 described later or information determined by the determination unit 234.

(About the control unit 230)
Returning to the description of FIG. 8, the control unit 230 is a controller, for example, various programs (corresponding to an example of a determination program) stored in a storage device inside the determination device 200 by a CPU, an MPU, or the like. Is implemented by using the RAM as a work area. The control unit 230 is a controller, and is realized by an integrated circuit such as an ASIC or FPGA, for example. As shown in FIG. 8, the control unit 230 according to the second embodiment includes a reception unit 231, an acquisition unit 232, a determination unit 233, a determination unit 234, and a distribution unit 235, which will be described below. Realize or execute information processing functions and actions.

(About the reception unit 231)
The accepting unit 231 accepts an advertisement distribution request based on the advertisement acquisition command. For example, in the example of FIG. 7, the receiving unit 231 issues an advertisement distribution request from the terminal device 10 based on an advertisement acquisition command such as a URL described in a game page distributed from the server device 101 to the terminal device 10. Accept.

(About the acquisition unit 232)
The acquisition part 232 acquires the play information regarding the user's play in a game. Note that the processing performed by the acquisition unit 232 is the same as the processing performed by the acquisition unit 132, and thus detailed description thereof is omitted.

(About determination unit 233)
The determination unit 233 determines a similar user that is another user similar to the predetermined user based on the play information acquired by the acquisition unit 232. Note that the processing performed by the determination unit 233 is the same as the processing performed by the determination unit 133, and thus detailed description thereof is omitted.

(About the determination unit 234)
The determination unit 234 acquires behavior information regarding a similar user that is another user similar to the predetermined user. In addition, the determination unit 234 is action information related to a similar user who is another user whose play information acquired by the acquisition unit 232 is similar to the predetermined user, and is based on the action information in a service other than the game. The advertisement which is information other than the game delivered to a user is determined. Note that the processing performed by the determination unit 234 is the same as the processing performed by the determination unit 134, and thus detailed description thereof is omitted.

(About distribution unit 235)
The distribution unit 235 distributes the advertisement determined by the determination unit 234 to the user. For example, the distribution unit 235 distributes the advertisement to be displayed in the advertisement display area of the game page W3 to the terminal device 10 in the example of FIG.

[3. (Modification)
In the embodiment, the service information is an advertisement related to a service other than a game. However, the service information is not limited to the advertisement, and may be various information as long as the information is related to various services such as products (shopping), video, and facility reservations. It may be.

  Moreover, although the determination apparatus 100 or 200 demonstrated the process which determines a similar user based on the play information of one game in embodiment, the determination apparatus 100 or 200 is similar based on the play information of a some game The user may be determined. Specifically, the determination apparatus 100 or 200 may acquire play information of a plurality of games and determine similar users based on the play time of each game of the user. For example, the play time of the game A of the user U1 is “11”, the play time of the game B is “1”, the play time of the game C is “60”, and the play time of the game A of the user U2 is “16”, The play time of the game B is “3”, the play time of the game C is “70”, the play time of the game A of the user U3 is “2”, the play time of the game B is “60”, and the play time of the game C Is “7”. Here, when the play time is divided into types such as “0-10”, “11-50”, “51-100”, “101-”, the user U1 and the user U2 have similar play times of each game. The determination apparatus 100 or 200 determines that the user U1 and the user U2 are similar users.

[4. effect〕
As described above, the determination apparatus 100 according to the embodiment includes the reception unit 131, the acquisition unit 132, the determination unit 133, the determination unit 134, and the distribution unit 135. The accepting unit 131 accepts a game distribution request from a predetermined user. The acquisition part 132 acquires the play information regarding the user's play in a game. The determination unit 133 determines a similar user that is another user similar to the predetermined user based on the play information acquired by the acquisition unit 132. The determination unit 134 acquires action information regarding a similar user that is another user similar to the predetermined user. In addition, the determination unit 134 is action information related to a similar user who is another user whose play information acquired by the acquisition unit 132 is similar to the predetermined user, and is based on the action information in a service other than the game. The advertisement which is information other than the game delivered to a user is determined. The distribution unit 135 distributes the advertisement determined by the determination unit 134 to the user.

  Thereby, the determination apparatus 100 which concerns on embodiment acquires the play information regarding the user's play in a game, The acquired play information is action information regarding other users similar to a predetermined user, Comprising: It is service other than a game. By determining information other than the game to a predetermined user based on the behavior information, information having a high appeal effect to the user can be distributed.

  Moreover, in the determination apparatus 100 according to the embodiment, for example, the determination unit 134 is based on behavior information regarding another user whose behavior pattern estimated based on the play information acquired by the acquisition unit 132 is similar to a predetermined user. The information other than the game distributed to the predetermined user is determined.

  Thereby, the determination apparatus 100 according to the embodiment provides information other than a game distributed to a predetermined user based on behavior information related to another user whose behavior pattern estimated based on the play information is similar to the predetermined user. By determining the information, it is possible to distribute information having a high appeal effect according to the user's behavior pattern.

  Moreover, in the determination apparatus 100 according to the embodiment, for example, the determination unit 134 determines a predetermined value based on action information related to another user whose operation characteristics in the game are similar to the predetermined user, which is estimated based on the play information. Information other than the game distributed to the user is determined.

  Thereby, the determination apparatus 100 which concerns on embodiment is a game delivered to a predetermined user based on the action information regarding another user whose operation characteristic in a game is similar to a predetermined user estimated based on play information. By determining information other than, information with a high appeal effect can be distributed according to the operation characteristics of the user's game.

  In the determination device 100 according to the embodiment, for example, the determination unit 134 estimates at least a frequency of playing a game, a time for playing the game continuously, and a time zone for playing the game, which are estimated based on the play information. Any one determines information other than a game based on the action information regarding another user similar to the predetermined user.

  Thereby, the determination apparatus 100 according to the embodiment has a predetermined frequency at least one of a frequency of playing the game, a time of playing the game continuously, and a time zone of playing the game estimated based on the play information. By determining information other than the game based on behavior information regarding other users similar to the user, information with a high appeal effect can be distributed according to the user's life pattern.

  In the determination device 100 according to the embodiment, for example, the determination unit 134 determines information other than the games ranked according to the behavior information.

  Thereby, the determination apparatus 100 which concerns on embodiment can distribute information other than a game appropriately to a user by determining information other than the game ranked according to action information.

  In the determination apparatus 100 according to the embodiment, for example, the acquisition unit 132 acquires at least one of a charge amount, a play time, a progress degree, and a ranking in the game as play information.

  Thereby, the determination apparatus 100 according to the embodiment can acquire at least one of a charge amount, a play time, a progress degree, and a ranking in the game as play information.

  In the determination apparatus 100 according to the embodiment, for example, the acquisition unit 132 determines service information related to at least one of products, videos, and facility reservations, which is information on services other than games.

  Thereby, the determination apparatus 100 according to the embodiment determines information on services other than the game, which is information on services other than the game, and determines information on services other than the game. Can be delivered to.

  In the determination apparatus 100 according to the embodiment, for example, the determination unit 134 displays an area other than the predetermined area, which is an area included in the content (game page) that provides the game-related service in the predetermined area. Determine information other than games.

  Thereby, the determination apparatus 100 according to the embodiment determines the information other than the game to be displayed in the area other than the predetermined area, which is an area included in the content providing the service related to the game in the predetermined area. Services related to games and information other than games can be distributed to users.

[5. Hardware configuration)
The image processing apparatus according to each embodiment described above is realized by a computer 1000 having a configuration as shown in FIG. 9, for example. Hereinafter, the determination apparatus 100 will be described as an example. FIG. 9 is a hardware configuration diagram illustrating an example of a computer 1000 that implements the functions of the determination apparatus 100. The computer 1000 includes a CPU 1100, RAM 1300, ROM 1200, 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 1200 or the HDD 1400 and controls each unit. The ROM 1200 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 in the embodiment) and sends the data to the CPU 1100, and the data generated by the CPU 1100 via the communication network 500 is sent to the other devices. 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 1300. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1300 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 determining device 100, the CPU 1100 of the computer 1000 implements the function of the control unit 130 by executing a program loaded on the RAM 1300. In addition, each data in the storage unit 120 is stored in the HDD 1400. 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 obtained from other devices via a predetermined communication network.

[6. Others]
As described above, some of the embodiments of the present application have been described in detail with reference to the drawings. However, these are merely examples, and various modifications, including the aspects described in the disclosure section of the invention, based on the knowledge of those skilled in the art, It is possible to implement the present invention in other forms with improvements.

  Further, the determination device 100 or 200 described above may be realized by a plurality of server computers, and depending on the function, an external platform or the like may be realized by calling an API (Application Programming Interface) or network computing. The configuration can be changed flexibly.

  Further, the “part” described in the claims can be read as “means”, “circuit”, or the like. For example, the determination unit can be read as determination means or a determination circuit.

DESCRIPTION OF SYMBOLS 1 Determination system 10 Terminal apparatus 50 External apparatus 100 Determination apparatus 101 Server apparatus 110 Communication part 120 Storage part 121 Play information storage part 130 Control part 131 Reception part 132 Acquisition part 133 Determination part 134 Determination part 135 Distribution part 200 Determination apparatus 210 Communication part 220 storage unit 230 control unit 231 reception unit 232 acquisition unit 233 determination unit 234 determination unit 235 distribution unit

Claims (9)

An acquisition unit for acquiring play information relating to a user's play in a game requested to be distributed from a predetermined user ;
A behavioral information about other users that behavior patterns in said game to be estimated from the operation which the acquisition unit has performed in the game that is included in the acquired play information is similar to the predetermined user, other than the game A determination unit that determines information other than the game distributed to the predetermined user together with the service related to the game based on behavior information of the service ;
A determination apparatus comprising: The determination unit is
The other users and behavior patterns in said game to be estimated from the operation performed in the game that is included in the play information, a life pattern that is estimated based on the play information is similar to the predetermined user The determination device according to claim 1, wherein information other than the game distributed to the predetermined user is determined based on the behavior information regarding the game. The determination unit is
The game is based on the action information regarding the other user whose at least one of the frequency of playing the game, the time of playing the game continuously, and the time zone of playing the game is similar to the predetermined user. The determination apparatus according to claim 2 , wherein information other than is determined. The determination device according to any one of claims 1 to 3, wherein the determination unit determines information other than the game ranked according to the action information. The acquisition unit
5. The determination device according to claim 1, wherein at least one of a charge amount, a play time, a progress degree, and a rank in the game is acquired as the play information. The determination unit is
The determination apparatus according to any one of claims 1 to 5, wherein the determination apparatus determines service information related to at least one of a product, a video, and a facility reservation, which is information on a service other than the game. . The determination unit is
The information other than the game to be displayed in an area other than the predetermined area, which is an area included in the content providing the game-related service in the predetermined area, is determined. The determination apparatus as described in any one. A decision method performed by a computer,
An acquisition step of acquiring play information relating to a user's play in a game requested to be distributed from a predetermined user ;
A behavioral information about other users that behavior patterns in said game to be estimated from the operation which the acquisition process is carried out in the game that is included in the acquired play information is similar to the predetermined user, other than the game A determination step of determining information other than the game distributed to the predetermined user together with the service related to the game based on behavior information of the service ;
A determination method characterized by comprising: An acquisition procedure for acquiring play information relating to a user's play in a game requested to be distributed from a predetermined user ;
A behavioral information about other users that behavior patterns in said game to be estimated from the operation where the acquisition procedure is performed in the game that is included in the acquired play information is similar to the predetermined user, other than the game A determination procedure for determining information other than the game distributed to the predetermined user together with the service related to the game , based on action information in the service of
A determination program characterized by causing a computer to execute.

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