KR20200052813A - Method and server for suggesting friend in game program - Google Patents

Abstract

A method and a server for suggesting friends are disclosed. The method for suggesting friends for a game user in a current game program may include: a step of acquiring play recording information of game users for each of a plurality of game programs; a step of calculating a correlation index of the current game user with respect to each of the plurality of game users based on the play record information; a step of determining at least one friend to be suggested for the current game user among the plurality of game users based on the calculated correlation index; and a step of providing information about the determined at least one friend to a user terminal of the current game user.

Description

METHOD AND SERVER FOR SUGGESTING FRIEND IN GAME PROGRAM

The following embodiments relate to a server and a method for recommending a friend in a game program.

MMO (Massive Multiplayer Online) games can provide fun to the game not only through the content of the game, but also through interaction among game users. Game providers can provide game friends or guild functions to maximize these characteristics. In addition, the game program may provide a friend recommendation function for recommending a game friend. The friend recommendation function may recommend other game users in a friend relationship from the SNS linked with the game program, or other game users as friends through a phone number linked to the game program.

In addition, the friend recommendation function may provide a function of recommending a friend based on the interaction performed at a previous point in time in the current game program. For example, a game user who played a game with the current game user in the current game program may be recommended as a friend.

A friend recommendation method of recommending a friend to a current game user in a current game program, performed by a server according to an embodiment, includes obtaining game user play history information for each of a plurality of game programs; Calculating a relationship index of a current game user for each of a plurality of game users based on the play history information; Determining at least one friend to recommend to the current game user among the plurality of game users based on the calculated relationship index; And providing information on the determined at least one friend to a user terminal of the current game user.

The calculating of a relationship index according to an embodiment may include calculating a respective relationship index of the current game user for each of the plurality of game users, which is calculated for each of the plurality of game programs; And calculating the relationship index based on the calculated individual relationship index.

The calculating of the relationship index based on the calculated individual relationship index according to an embodiment may include weighting based on viewpoint information corresponding to the individual relationship index; And calculating the relationship index based on the assigned weight.

In the determining of the friend according to an embodiment, the game user having a large value of the calculated relationship index may be preferentially determined as a friend to be recommended.

The information about the friend according to an embodiment may include information about an interaction performed between the game user determined as the friend and the current game user.

Information on the interaction according to an embodiment Of the information on the type of the game program in which the interaction was performed, the information on the type of the interaction and the account information of the game user determined as the friend in the game program in which the interaction was performed It may include at least one.

In the determining of the friend according to an embodiment, when the current game program is provided through a plurality of channels, a friend to be recommended for each of the plurality of channels may be determined.

The play history information according to an embodiment is based on at least one of account information of each of the game users for each of the plurality of game programs and user terminal identification information of each of the game users. It can be collected separately.

A friend recommendation method of recommending a friend who is active in a guild provided in the current game program according to another embodiment includes obtaining game user play history information for each of a plurality of game programs; Calculating a relationship index of a current game user for each of a plurality of game users based on the play history information; Determining a friend to recommend to the current game user among game users active in each guild based on the calculated relationship index; And providing information on the determined friend to a user terminal.

A friend recommendation method of recommending a friend to a current game user in a current game program performed by a user terminal according to an embodiment includes receiving information about a friend to be recommended from a server; And displaying information about the friend, and information about the friend to be recommended can be determined based on a relationship index calculated based on play history information of game users for each of a plurality of game programs. .

According to an embodiment, the relationship index may be calculated based on a summation result of the individual relationship index of the current game user for each of the game users, which is calculated for each of the plurality of game programs.

According to an embodiment, the displaying may display information on the friend for each channel based on information on a channel in which the friend is active.

A server according to an embodiment may include a database that stores play history information of game users for each of a plurality of game programs; Communication; And a processor for determining a friend to recommend to the current game user based on the play history information, wherein the processor calculates a relationship index of the current game user for each of a plurality of game users based on the play history information. , Based on the calculated relationship index, at least one friend to be recommended to the current game user among the plurality of game users is determined, and the current game user receives information on the determined at least one friend through the communication unit. It can provide to the user terminal.

A server for recommending a friend who is active in a guild provided by a current game program according to another embodiment, comprising: a database storing play history information of game users for each of a plurality of game programs; Communication; And a processor for determining a friend to recommend to the current game user among game users active in the guild based on the play history information, wherein the processor is configured for each of a plurality of game users based on the play history information. Calculating a relationship index of the current game user, based on the calculated relationship index, among the game users active in the guild to determine the friend to recommend to the current game user, and for the determined friend through the communication unit Information may be provided to a user terminal.

1 is a view for explaining the operation of the friend recommendation system according to an embodiment.
2 is a diagram illustrating a network configuration of a friend recommendation system according to an embodiment.
3 is a flowchart illustrating a friend recommendation method of recommending a friend to a current game user in a current game program according to an embodiment.
4 is a diagram for schematically explaining a relationship index between individual users.
5 is a diagram illustrating an example of calculating a relationship index according to a friend recommendation method according to an embodiment.
6 is a diagram illustrating an example to which a friend recommendation method according to an embodiment is applied.
7 is a diagram showing an example of a friend recommendation message provided to an existing game user when a new game user starts an activity on a game program.
8 is a flowchart illustrating a friend recommendation method according to another embodiment.
9 is a diagram illustrating an example in which a friend is recommended for each guild in a guild recommendation function provided in the current game program according to an embodiment.
10 is a flowchart illustrating a friend recommendation method performed by a user terminal according to an embodiment.
11 is a diagram showing the overall configuration of a server according to an embodiment.

Hereinafter, embodiments will be described in detail with reference to the accompanying drawings. However, various changes may be made to the embodiments, and the scope of the patent application right is not limited or limited by these embodiments. It should be understood that all modifications, equivalents, or substitutes for the embodiments are included in the scope of rights.

The terms used in the examples are used for illustrative purposes only and should not be construed as limiting. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, the terms "include" or "have" are intended to indicate the presence of features, numbers, steps, actions, components, parts or combinations thereof described herein, one or more other features. It should be understood that the existence or addition possibilities of fields or numbers, steps, operations, components, parts or combinations thereof are not excluded in advance.

Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by a person skilled in the art to which the embodiment belongs. Terms, such as those defined in a commonly used dictionary, should be interpreted as having meanings consistent with meanings in the context of related technologies, and should not be interpreted as ideal or excessively formal meanings unless explicitly defined in the present application. Does not.

In addition, in the description with reference to the accompanying drawings, the same reference numerals are assigned to the same components regardless of reference numerals, and redundant descriptions thereof will be omitted. In describing the embodiments, when it is determined that detailed descriptions of related known technologies may unnecessarily obscure the subject matter of the embodiments, detailed descriptions thereof will be omitted.

1 is a view for explaining the operation of the friend recommendation system according to an embodiment.

The game program provided online can provide a function of recommending another game user who can play the game together with the current game user. The game user recommended as a friend to the current game user through the friend recommendation function may be determined based on the interaction history of the current game program between the current game user and other users previously performed. For example, a game user who has team-played with the current game user over a predetermined threshold number of times during the previous week may be recommended as a friend to the current game user.

A friend recommendation method considering the previous game play history requires a game play history for the current game program. Since the game user who has newly joined the current game program does not have a play history for the current game program, an appropriate friend cannot be recommended. Game users who are new to the current game program must newly establish a relationship with other game users, and in this process, the fun for the game may be halved.

In addition, since the method of recommending a friend through linking with an SNS account or a phone number recommends a friend who has a realistic relationship without considering the game user's experience with the game program, the relationship formed by the game user through the game is not considered at all. There may be problems that do not.

The friend recommendation system according to an embodiment may consider a play history of other game programs of the current game user in recommending friends in the current game program. For example, the friend recommendation system may recommend a game user who has played a game together in the same guild in another game program as a friend in the current game program.

The friend recommendation system described in this specification assumes a situation in which the server of the friend recommendation system can collect log data for a plurality of game programs.

The friend recommendation system may recommend a suitable friend to a user who first joins the current game program by recommending a friend of the current game program based on the current game user's experience with other game programs. In addition, a friend recommended through a friend recommendation system may be recommended by reflecting the intimacy relationship that a current game user has previously formed in a plurality of game programs.

In addition, the friend recommendation system may recommend a friend to the current game user even in the pre-reservation stage before the game program is launched. Through the pre-reservation process, the game user can preempt the desired character name in the desired channel (server to play the game program). Since the reservation information of other game users associated with the current game user is not provided in the pre-reservation service currently provided, game users who have made reservations in different channels cannot play the game together. As the current game user must give up the pre-empted character name, retained items, etc., it may be difficult to move the channel to play the game with a friend. The friend recommendation system can provide the current game user with the reservation information of the game user corresponding to the friend determined based on the experience in other game programs, thereby providing a means for the current game user to select the channel where the friend made the reservation. have.

The friend recommendation system may identify and store play history information for game users for each game user.

The friend recommendation system may collect log data for a plurality of game programs. The play history information may mean information related to play of a game user that can be obtained based on log data generated through the progress of a game program. For example, play history information can be collected through log data such as information about game user access time, information about the content played, information about the opponent game user who performed the interaction, and information about the type of interaction. It may include any information related to game play.

The friend recommendation system may store play history information for each game user based on user profile information identifying each game user. The user profile information is information for identifying each game user, and the user can be identified based on the account information of the game user for each of the plurality of game programs and the user terminal identification information of the game user. The friend recommendation system may generate user profile information by matching the game account AAA of the current game user for game program A with the game account aaa of the current game user for game program B. For each generated user profile information, play history information of the current game user for a plurality of game programs may be stored.

In addition, the friend recommendation system may store advance reservation information for each game user in addition to play history information. The friend recommendation system may provide information on a channel (server) selected when friends of the current game user pre-reserve in the process of pre-reservation based on the stored pre-reservation information.

The friend recommendation system does not necessarily require SNS account information to identify game users. The friend recommendation system can store play history information for a plurality of game programs for each game user through game profile information or user profile information generated through user terminal identification information, even if the current game user does not link the SNS account. You can refer a friend through information.

1, the operation of the friend recommendation system of the present invention will be described by way of example.

Game user A 110 corresponding to the current game user belongs to the same guild in game user B 120 and game A. Game user A 110 may play game A with account AAA, and game user B 120 may play game A with account BBB. Account AAA and account BBB may belong to the same guild as shown on screen 130.

The friend recommendation system may recommend a friend to game user A 110 playing game B based on the experience of game user A 110 for game A.

Referring to the screen 140, the friend recommendation system sends a message 142 recommending the account bbb 142 of the game user B 120 to the game user A 110 playing the game B with the account aaa 141. Can provide. The message 142 includes information on the account bbb 143 of the recommended game user B 120. Also, the message 142 may include information 144 indicating that the account bbb 143 is a game user corresponding to the account BBB belonging to the same guild as the game user A 110 in the game A.

2 is a diagram illustrating a network configuration of a friend recommendation system according to an embodiment.

As illustrated in FIG. 2, the friend recommendation system may be configured to be connected to the server 210 and a plurality of user terminals 231, 232, 233 and 234 through a communication network 220 such as the Internet. The server 210 is also called a web server, and provides an online service to the user terminals 231, 232, 233, and 234 through a communication network such as the Internet.

The user terminals 231, 232, 233, and 234 are terminals capable of accessing a server through a communication network with a communication function, and any of various electronic devices widely distributed to general users today, such as smartphones, PCs, tablets, and laptops. It may be one, but may include any communication device not limited to this. A client program is installed in the user terminals 231, 232, 233, and 234, and may be connected to the server 210 through the program.

The server 210 may provide information about a friend to be recommended to the user terminals 231, 232, 233, and 234 based on play history information for each game user stored in the database. In the database of the server 210, play history information may be stored for each game user. The server 210 may calculate a relationship index indicating intimacy between the current game user and the remaining game users in a plurality of game programs. The relationship index may be determined based on how closely the current game user and other game users have performed interactions in a plurality of game programs based on play history information. The term interaction as used herein may refer to any game play that can be performed between users within a game program. The server 210 may determine a game user to be recommended as a friend among a plurality of different game users based on the calculated relationship index, and transmit information about the determined friend to the user terminals 231, 232, 233, and 234. . The user terminals 231, 232, 233, and 234 may display information about the received friend.

3 is a flowchart illustrating a friend recommendation method of recommending a friend to a current game user in a current game program according to an embodiment.

Referring to FIG. 3, the server may obtain play history information of game users for each of a plurality of game programs in step 310.

The play history information may be classified and collected for each game user based on the user profile information of the game user, and stored in the server database. The server may generate user profile information for identifying a game user based on at least one of game user account information and game user user terminal identification information for each of a plurality of game programs. The server may collect play history information for each identified game user and store it in a database.

According to an embodiment, the server may calculate a relationship index of the current game user for each of the plurality of game users based on the play history information in step 330. The relationship index may mean a value for indicating the degree of intimacy between game users.

The server may calculate, for each of the plurality of game programs, individual relationship indices of the current game user for each of the plurality of game users, and calculate the relationship indices based on the calculated individual relationship indices. For example, in order to calculate the relationship index between game user A and game user B, the server may have a first individual relationship index for game A and a second individual relationship for game B determined between game user A and game user B. The index can be calculated.

The server may calculate the relationship index between game user A and game user B by adding the calculated first individual relationship index and second relationship index. The server can more effectively reflect the degree of intimacy among game users in the relationship index by calculating the relationship index between game users through calculating the individual relationship index for each game program.

According to an embodiment, the server may determine an individual relationship index based on interaction history information related to intimacy among game users among play history information. For example, the interaction history information related to intimacy includes history information about the frequency of conversation between game users, history information about the frequency of exchange of goods, history information of mutual alliance formation, guild activity history information, and history information about the duration of activity together , History information about the content played together, history information using content providing mutual gifts, and the like.

The server may calculate an individual relationship index based on a first score determined based on a plurality of evaluation items determined through interaction history information related to intimacy. For example, the evaluation item may include whether the frequency of conversation between game users is greater than or equal to a threshold, whether or not the frequency of exchange of goods is greater than or equal to a threshold. The server may calculate a first score based on a ratio of the number of evaluation items corresponding to the current game user and other game users and the total number of evaluation items among all evaluation items.

The server may calculate an individual relationship index based on the second score determined based on the duration information for each interaction related to intimacy and the number of times the interaction is performed. For example, the second score may be calculated by adding up the total number of times of performing each interaction related to intimacy and the total time of performing the interaction, taking a logarithm of the sum result, and multiplying the predetermined weight.

In addition, the server may determine a third score based on information on the number of game programs that the current game user user and another game user have interacted with, and may determine an individual relationship index based on the determined third score.

The server may determine an individual relationship index for each game program through the product of the determined first score, second score, and third score.

The method of calculating the individual relationship index is not limited to the presented method, and is calculated by each of the first score, the second score, and the third score, or based on interaction history information related to intimacy, to quantify intimacy among game users. It can include any way.

According to an embodiment, the server may assign weights to individual relationship indices based on viewpoint information corresponding to the calculated individual relationship indices, and calculate the relationship indices based on the assigned weights. The viewpoint information may be provided based on the collection time of information that is the basis for calculating the individual relationship index. For example, if the interaction for game A between game user A and game user B was last performed on October 12, and the interaction for game B was last performed on October 10, each individual relationship Time information corresponding to the index may be determined based on October 12 and October 10. The server may assign a higher weight than the individual relationship index for game B to the individual relationship index for game A corresponding to the viewpoint information closer to the latest time point. The server can calculate the relationship index by summing the weighted individual relationship indexes. The server can calculate a relationship index reflecting the current situation more effectively through weighting.

In addition, when interactions that reduce intimacy between game users are performed, the server may reflect the relationship index through weights. For example, when interactions corresponding to negative decision making such as friend deletion, guild withdrawal, reporting, whisper blocking, etc. are performed between game users, the relationship index can be determined by reflecting the weight to the individual relationship index. In addition, the server may reflect a phenomenon in which intimacy decreases among game users as time progresses by multiplying the attenuation function by a weight, and calculate a relationship index through the reflection result.

According to one embodiment, the server may determine at least one friend to recommend to the current game user among the plurality of game users based on the relationship index calculated in step 350. The server may preferentially determine as a friend to recommend a game user corresponding to a larger relationship index. For example, the server may determine a game user to be recommended as a friend in the order corresponding to a high relationship index based on information on a predetermined recommendation number.

According to one embodiment, the server may provide information on at least one friend determined in step 370 to the user terminal.

Information about a friend may include information about an interaction performed between a game user determined to be a friend and the current game user. The information on the interaction may include at least one of information on the type of the game program on which the interaction was performed, information on the type of the interaction, and account information of the game user determined as a friend in the game program on which the interaction was performed. For example, the information on the interaction may include information about the current game user acting in the same guild as the game user corresponding to the account bbb in game B, which is a game program different from the current game program. In addition, information about a friend may additionally provide information on a period during which the interaction is performed, information on the number of interactions, and the like.

According to an embodiment, when the current game program is provided through a plurality of channels (for example, an access server), the server may determine a friend to be recommended for each channel. For example, the server may recommend another game user who is active in the same channel as the channel accessed by the current game user in the current game program as a friend. In the process of recommending as a friend, the same method of calculating a relationship index described above and determining a game user to be recommended as a friend based on the calculation result may be applied.

In addition, the server may recommend a friend for each channel while the current game user initially selects the channel. The current game user can select a channel to act on the basis of the recommended channel-specific friend list.

4 is a diagram for schematically explaining a relationship index between individual users.

In FIG. 4, individual relationship indices representing intimacy between game users in each game program are shown through the form of a connecting line.

4, the user profile information of each game user (410, 420, 430, 440, 450) is account information (411, 412, 413, 421, 423, 433, 441, 442, 443, 451, 452). For example, the accounts 411 and 413 corresponding to the game user 410 may be mutually mapped to generate user profile information for the game user 410. In the same way, user profile information for the remaining game users 420, 430, 440, 450 may be generated. Based on the user profile information, play history information may be classified and collected for each game user (410, 420, 430, 440, 450).

According to an embodiment, individual relationship indices 461 and 463 between game users 410, 420, 430, 440, and 450 are calculated for each game program based on play history information, and calculated individual relationship indices Based on the relationship index between the game users (410, 420, 430, 440, 450) can be calculated.

For example, in the game A, the game user 410 and the game user 420 rarely perform interactions related to intimacy, so that the individual relationship index 461 may be calculated with a low value (indicated by a dotted line). On the other hand, the game user 410 and the game user 450 operate in the same guild in the A game, and interactions related to intimacy are frequently performed, and based on this, the individual relationship index 463 may be calculated with a high number (solid line) Indicated as.).

The server may sum the respective relationship indices calculated for each game program to calculate a total relationship index. For example, since the game users 410 and the game users 450 have high and low individual calculation indices in the A games and the B games, the game users 410 in which the low individual relation indices in the C games have been calculated. And a relationship index higher than the relationship index between the game users 430.

Through the described method, a relationship index may be calculated for all combinations of game users 410, 420, 430, 440, and 450, and a game user to be recommended as a friend may be determined based on the calculated relationship index.

5 is a diagram illustrating an example of calculating a relationship index according to a friend recommendation method according to an embodiment.

Referring to FIG. 5, as shown in Table 510, the server may calculate individual relationship indices between game users for each game program. The method of calculating the individual relationship index may be the same as the method described through FIG. 3.

The sum of intimacy activity values in Table 510 may be the total sum of scores awarded for interactions performed between game users. The score given to each interaction may be a predetermined value according to the effect of each interaction on intimacy. The more positive the positive impact on intimacy, the larger the number can be assigned. A score given to each interaction may be assigned a negative score according to the type of interaction. For example, a negative score may be given when interactions such as deletion of friends, guild withdrawal, reporting, and whisper blocking, which are negatively affecting interactions with respect to intimacy, are performed.

The intimacy activity average for each game may mean an average value of the sum of intimacy activity values of each game user active in the game program.

The server may calculate the relationship index for each game user as shown in Table 520 by summing the individual relationship indices. For example, the server may determine the relationship index by summing the individual relationship indices for game A and the individual relationship indices for game B of Youngmin and Sunyoung.

The server may reflect the weights 531 as shown in the table 530 in the process of summing the individual relationship indices. The higher weight 531 is reflected in the individual relationship index calculated through the recently performed interaction, so that the relationship index can be calculated. For example, when Youngmin and Sunyoung perform interactions related to intimacy more recently in the A game than in the B game, a larger weight 531 may be assigned to the individual relationship index calculated for the A game. That is, the weight 531 may reflect a phenomenon in which intimacy decreases among game users over time. In order to reflect the feature, an attenuation function whose result decreases over time can be used in the weighting process.

In addition, the weight 531 may be calculated based on the sum of intimacy activity values. Through this, the weight 531 may reflect negative interaction performance on intimacy among game users.

6 is a diagram illustrating an example to which a friend recommendation method according to an embodiment is applied.

Referring to FIG. 6, the screen 610 shows an interface through which a channel (connection server) can be selected in progressing the game play. The screen 610 may include an interface 620 for receiving a user input requesting a friend recommendation. When the interface 620 is touched, information on the number of friends recommended for each channel may be displayed through the screen 620. The recommended friends are recommended based on the calculated relationship index and may be friends currently active in each channel. When server A is selected by user input, a message 622 recommending a friend who is accessing server A may be displayed. The friends recommended through the message 622 may be game users working through a channel corresponding to the server A among game users corresponding to the friends selected through the friend recommendation method according to the above-described embodiment. The message 622 may include information on the account of the friend in the game program in which the interaction is performed with the game user corresponding to each friend, the type of interaction, the game program in which the interaction was performed. The current game user can select a channel to perform an activity based on the recommended friend.

When the current game user selects the channel corresponding to the server A as a channel to be activated, a friend recommendation function implemented in the friend making function in the game program may be activated as shown in the screen 630. In the friend recommendation function provided in the game program, information 631 and 632 about the game user corresponding to the friend recommended in the message 622 may be provided.

When the current game user initiates the activity through the server A, a friend recommendation function that provides information 641 for the current game user to the game user corresponding to each account bbb and ccc as shown on the screen 640 Can be activated.

7 is a diagram showing an example of a friend recommendation message provided to an existing game user when a new game user starts an activity on the game program.

The screen 700 of FIG. 7 may be a screen provided to game users corresponding to accounts bbb and ccc of FIG. 6 described above. When a game user determined to have intimacy through interaction through another game program starts playing the current game program through account aaa, a friend recommendation message 710 may be provided to accounts bbb and ccc. The message 710 may include information about a game program that has been previously interacted with, information about a friend's account for the game program that has been interacted with, and information about the type of interaction. In addition, through the interface 711 can be immediately made friends.

8 is a flowchart illustrating a friend recommendation method according to another embodiment.

Referring to FIG. 8, in step 810, the server may acquire play history information of game users for each of a plurality of game programs.

In step 820, the server may calculate a relationship index between a plurality of different game users and the current game user based on the play history information.

According to an embodiment, the server calculates a respective relationship index of the current game user for each of the plurality of game users, calculated for each of a plurality of game programs, and a relationship based on the calculated individual relationship index The index can be calculated. The method of calculating the relationship index is the same as the method described through FIGS. 3 to 5.

In step 830, the server may determine a friend to recommend to the current game user among other game users active in each guild based on the calculated relationship index.

The play history information of each game user may include guild information to which the game user has subscribed. The server may determine a friend to recommend to the current game user for each guild based on guild information to which each game user has subscribed. The server may preferentially determine as a friend to recommend a game user with a large calculated relationship index. For example, when it is determined in advance to provide the information of three friends for the A guild, the server may determine that three game users having a high relationship index among a plurality of game users are friends to recommend, and for the determined friends. Information can be provided to the current game user.

In step 840, the server may provide information about the determined friend to the user terminal.

According to an embodiment of the present invention, information about a friend may include information on a type of a game program in which an interaction between a game user determined as a friend to be recommended and a current game user is performed, information on the type of interaction, and a game program in which the interaction is performed. It may include at least one of the account information of the game user determined to be a recommended game user.

9 is a diagram illustrating an example in which a friend is recommended for each guild in a guild recommendation function provided in the current game program according to an embodiment.

The screen 900 displays an interface related to a guild recommendation function provided in the current game program. When selecting the interface 911 for checking the information of each recommended guild, a message 930 providing information of the game user recommended as a friend may be displayed based on the play history information of the current game user. The message 930 may provide information about a situation in which the current game user and the recommended game user in Game C have interacted with the current game user through the account CCC, and are currently acting as a ccc account in Guild A.

10 is a flowchart illustrating a friend recommendation method performed by a user terminal according to an embodiment.

In step 1010, the user terminal may receive information about a friend to be recommended from the server. Information about a friend to be recommended may be determined based on a relationship index calculated based on play history information of game users for each of a plurality of game programs. The relationship index may be calculated based on a sum result of individual relationship indexes calculated for each of a plurality of game programs. Individual relationship indices are calculated for each of a plurality of game programs. That is, the individual relationship index may be an index indicating the intimacy of each of the current game user and the plurality of game users for each of the plurality of game programs. The method of calculating the relationship index through calculating the individual relationship index is the same as the method described through FIGS. 3 to 5.

In step 1030, the user terminal may display information about a friend.

The user terminal provides information about the type of interaction performed between the game user determined to be a friend and the current game user, information about the game program in which the interaction was performed, and information about the friend including the account information of the friend's corresponding game program. Can be displayed.

In addition, the user terminal may provide information about a friend for each channel based on information on a channel in which a friend is active on a channel selection screen currently provided to a game user. It is possible to provide a means for a current game user to select a channel based on a list of friends provided for each channel.

In addition, the user terminal can provide a means for the current game user to select a guild based on a list of recommended friends by providing information about a friend for each guild based on the guild information to which the game user determined as a friend has subscribed. have.

11 is a diagram showing the overall configuration of a server according to an embodiment.

The server 1100 includes a database 1150 for storing play history information of game users for each of a plurality of game programs, a processor 1130 for determining a friend to recommend to the current game emulsion based on the play history information, and a determined friend It may include a communication unit 1110 for providing information about the user terminal.

According to an embodiment, the processor 1130 calculates a relationship index of a current game user for each of a plurality of game users based on play history information, and based on the calculated relationship index, a current one of the plurality of game users At least one friend to be recommended to the game user may be determined, and information on at least one friend determined through the communication unit 1110 may be provided to the user terminal of the current game user.

The processor 1130 may calculate an individual relationship index calculated for each of a plurality of game programs, and calculate a relationship index based on the calculated individual relationship index. The individual relationship index may be an index indicating intimacy with respect to each of the other game users of the current game user for each game program. The individual relationship index and the method of calculating the relationship index through the same are the same as those described in FIGS. 3 to 5.

According to an embodiment, information about a friend provided to the user terminal includes information about an interaction performed between a game user determined as a friend and the current game user, and information about the interaction is a type of game program in which the interaction is performed. It may include at least one of information about, information about the type of interaction and account information of the game user determined as a friend in the game program in which the interaction was performed. An example of information about a friend is presented via message 622 in FIG. 3.

According to an embodiment, when the current game program is provided through a plurality of channels, the processor 1130 may determine a friend to be recommended for each of the plurality of channels. Specifically, the processor may determine a friend to be recommended for each channel based on channel information on which the game user determined as a friend is active. An example in which a friend to be recommended for each channel is determined is presented in FIG. 6.

According to another embodiment, the processor 1130 may determine a friend to recommend to the current game user among game users active in the guild based on play history information stored in the database 1150.

The processor 1130 calculates the relationship index of the current game user for each of a plurality of game users based on the play history information, and recommends the current game user among game users active in the guild based on the calculated relationship index The friend to be determined may be determined, and information on the determined friend may be provided to the user terminal through the communication unit 1110.

The processor 1130 may perform the friend recommendation method presented through FIG. 8, and a specific example is presented through FIG. 9.

The device described above may be implemented with hardware components, software components, and / or combinations of hardware components and software components. For example, the devices and components described in the embodiments include, for example, processors, controllers, arithmetic logic units (ALUs), digital signal processors (micro signal processors), microcomputers, field programmable gate arrays (FPGAs). , A programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions, may be implemented using one or more general purpose computers or special purpose computers. The processing device may run an operating system (OS) and one or more software applications running on the operating system. In addition, the processing device may access, store, manipulate, process, and generate data in response to execution of the software. For convenience of understanding, a processing device may be described as one being used, but a person having ordinary skill in the art, the processing device may include a plurality of processing elements and / or a plurality of types of processing elements. It can be seen that may include. For example, the processing device may include a plurality of processors or a processor and a controller. In addition, other processing configurations, such as parallel processors, are possible.

The software may include a computer program, code, instruction, or a combination of one or more of these, and configure the processing device to operate as desired, or process independently or collectively You can command the device. Software and / or data may be interpreted by a processing device, or to provide instructions or data to a processing device, of any type of machine, component, physical device, virtual equipment, computer storage medium or device. , Or may be permanently or temporarily embodied in the transmitted signal wave. The software may be distributed over networked computer systems, and stored or executed in a distributed manner. Software and data may be stored in one or more computer-readable recording media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, or the like alone or in combination. The program instructions recorded in the medium may be specially designed and configured for the embodiments or may be known and usable by those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, and magnetic media such as floptical disks. -Hardware devices specifically configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described by a limited embodiment and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques are performed in a different order than the described method, and / or the components of the described system, structure, device, circuit, etc. are combined or combined in a different form from the described method, or other components Alternatively, even if replaced or substituted by equivalents, appropriate results can be achieved.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

Claims (1)

In the method of recommending a friend performed by the server to recommend a friend to the current game user in the current game program
Obtaining play history information of game users for each of a plurality of game programs;
Calculating a relationship index of a current game user for each of a plurality of game users based on the play history information;
Determining at least one friend to recommend to the current game user among the plurality of game users based on the calculated relationship index; And
Providing information on the determined at least one friend to a user terminal of the current game user
Containing,
How to recommend a friend.

Images