WO2022205801A1 - Game friend recommendation method and system based on close contact, server, and storage medium - Google Patents

Abstract

A game friend recommendation method and system based on close contact, a server, and a storage medium. The method comprises: acquiring first close contact data of a first user and second close contact data of a second user, the first user and the second user being users of a same game; determining a similarity between the first user and the second user on the basis of the first close contact data and the second close contact data; determining whether the similarity satisfies a preset requirement; and if yes, recommending the second user to the first user and/or recommending the first user to the second user. The method combines a real interaction situation into a virtual network to discover other users having more real interactions with the user for friend recommendation, thereby enhancing real interactivity of games, and enabling the user to discover friends close to living habits of the user more easily.

Description

Method, system, server and storage medium for recommending game friends based on close connection technical field

The present invention relates to the field of computer technology, and in particular, to a method, system, server and storage medium for recommending game friends based on close connection.

Background technique

At present, mobile communication devices have pervaded our lives. With the popularization of smart phones, various games and social APPs have emerged one after another. It is no longer limited to a communication device in our lives, but also undertakes entertainment for people. effect. However, there is a common problem with all kinds of game apps on the Internet today: the real interaction of players is not strong, and most of them play a passing role in the game, whether it is an opponent or a teammate. Moreover, because of the high intelligence of mobile phones, many people are addicted to online games in the virtual world, thus ignoring the social interaction between people in real life.

technical problem

In view of this, the present invention provides a close connection-based game friend recommendation method, system, server and storage medium, so as to realize reality-based friend push, so as to enhance the realistic interactivity of the game.

technical solutions

In a first aspect, the present invention provides a method for recommending game friends based on close connection, which is used to collect close connection data of game users to implement friend recommendation according to the close connection data. The method includes:

Obtain the first contact data of the first user and the second contact data of the second user, where the first user and the second user are users of the same game;

determining the similarity between the first user and the second user based on the first secret data and the second secret data;

Judging whether the similarity meets a preset requirement;

If so, recommend the second user to the first user and/or recommend the first user to the second user.

In a second aspect, the present invention provides a game friend recommendation system based on close connection, which is used to collect close connection data of game users, so as to implement friend recommendation according to the close connection data, including:

a contact data acquisition module, configured to acquire the first contact data of the first user and the second contact data of the second user, where the first user and the second user are users of the same game;

a similarity determination module, configured to determine the similarity between the first user and the second user based on the first close data and the second close data;

a similarity judging module, configured to judge whether the similarity meets a preset requirement;

A recommending module, configured to recommend the second user to the first user and/or recommend the first user to the second user if yes.

In a third aspect, the present invention provides a server, including:

one or more processors;

a storage system for storing one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors can implement the contact-based game friend recommendation method provided by any embodiment of the present invention.

In a fourth aspect, the present invention provides a computer-readable storage medium, where the storage medium stores a computer program, the computer program includes program instructions, and the program instructions, when executed, implement any one of the embodiments of the present invention. A close-based game friend recommendation method.

beneficial effect

The method for recommending game friends based on the close connection provided by the present invention firstly obtains the first close connection data from the first user and the second close connection data from the second user, and then determines the first user and the first user based on the first close connection data and the second close data. The similarity between the second users, and then determine whether the similarity meets the preset requirements. If so, the first user and the second user are respectively regarded as the recommended friends of the other party. In this embodiment, the close data is used as the analysis basis for friend recommendation. , so that the real communication situation is combined into the virtual network to discover other users who have more real-life intersection with the user to recommend friends, which enhances the real interaction of the game and makes it easier for users to find friends with similar living habits.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the accompanying drawings used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some of the embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained according to the provided drawings without any creative effort.

FIG. 1 is a flowchart of a method for recommending game friends based on close connection provided by Embodiment 1 of the present invention;

2 is a sub-flow chart of a method for recommending game friends based on close connection provided by Embodiment 2 of the present invention;

3 is a sub-flow diagram of a method for recommending game friends based on close connection provided by Embodiment 2 of the present invention;

4 is a schematic structural diagram of a close connection-based game friend recommendation system provided by Embodiment 3 of the present invention;

FIG. 5 is a schematic structural diagram of a server according to Embodiment 4 of the present invention.

Embodiments of the present invention

The technical solutions in the implementation of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. It should be understood that, the specific embodiments described herein are only a part of the embodiments of the present application, rather than all the embodiments, and are only used to explain the present application rather than limit the present application. In addition, it should be noted that, based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

Furthermore, the terms "first," "second," etc. may be used herein to describe various directions, acts, steps or elements, etc., but are not limited by these terms. These terms are only used to distinguish a first direction, act, step or element from another direction, act, step or element. For example, a first region could be termed a second region, and, similarly, a second region could be termed a first region, without departing from the scope of the present disclosure. Both the first region and the second region are regions, but they are not the same region. The terms "first", "second" and the like should not be understood as indicating or implying relative importance or implying the number of technical features indicated. Thus, a feature defined as "first" or "second" may expressly or implicitly include one or more of that feature. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise expressly and specifically defined. It should be noted that when a part is referred to as being "fixed to" another part, it can be directly on the other part or there may be a central part. When one part is said to be "connected" to another part, it may be directly connected to the other part or there may be an intervening part at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for the purpose of illustration only and do not represent the only embodiment.

Before discussing the exemplary embodiments in greater detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowchart depicts the steps as a sequential process, many of the steps may be performed in parallel, concurrently, or concurrently. Furthermore, the order of the steps can be rearranged. The process may be terminated when its operation is complete, but may also have additional steps not included in the figures. A process may correspond to a method, function, procedure, subroutine, subroutine, or the like.

Example 1

This embodiment provides a method for recommending game friends based on close connection, which is used to collect close connection data of game users, so as to realize friend recommendation according to the close connection data. The interaction is implemented. This embodiment takes a terminal as an example for description. Referring to FIG. 1 , the method includes the following steps:

S110. Acquire first contact data of a first user and second contact data of a second user, where the first user and the second user are users of the same game.

The first user and the second user are different users of the same game. The first and second close data are both close data. The close data is used to indicate the close connection of the corresponding user, and the first close data is used to indicate the first user. The data of the close connection state, and the second close connection data is data used to indicate the close connection state of the second user. The close contact situation indicates the actual close contact situation of the user, the first close contact data is used to indicate the actual close contact situation of the first user, and the second dense data is used to indicate the actual close contact situation of the second user. In some specific examples, the contact data includes various types of data, such as: the number of users in each age group in close contact indoors, the number of users in each age group in outdoor contact, the number of users in each age group during working hours, and the number of users in each age group The number of people of each age group whose working hours are closely linked, etc., are not listed here.

Specifically, the purpose of the friend recommendation method in this embodiment is to perform matching according to the user's real social similarity, so as to realize the combination of the game and the real world, and to enhance the real interaction of the game player. In this embodiment, the server is a game server, the user plays a game based on the game terminal, and the server can obtain the data of the game terminal. When performing the friend recommendation method provided in this embodiment, the game terminal collects the close connection data through Bluetooth and other methods, and the server uses wired Or wirelessly obtain the close data collected by the game terminal.

S120. Determine the similarity between the first user and the second user based on the first secret data and the second secret data.

The similarity is used to represent the actual social similarity between the first user and the second user, and is generally expressed in the form of a percentage. The similarity is calculated according to the close connection data of different users. Specifically, the close connection situation of the user can be analyzed according to the close connection data, and the close connection situation represents the real social situation of the user, and the real social situation of different users is compared to obtain the similarity of different users.

Specifically, the server stores a preset algorithm for analyzing the similarity of users according to the close connection data. After the server obtains the close connection data of different users, the preset algorithm analyzes the similarity between different users based on the close connection data.

S130. Determine whether the similarity meets a preset requirement.

The preset requirement is a criterion for judging whether different users are similar users according to the similarity, and is used to determine whether different users are suitable to be matched as friends. When the similarity between the first user and the second user meets the preset requirement, it means that the first user The second user is considered suitable to be matched as friends, and when the similarity between the first user and the second user does not meet the preset requirements, it means that the first user and the second user are not considered suitable to be matched as friends. Exemplarily, the preset requirement is generally set to be greater than or equal to a preset value (for example, fifty percent), and when the similarity is greater than or equal to the preset value, the preset requirement is satisfied.

Specifically, in this embodiment, a preset requirement for judging whether different users are suitable to be matched as friends is set in the server. After the server determines the similarity between different users according to a preset algorithm, it judges whether the preset requirements are met according to the similarity. set requirements.

S140. If yes, recommend the second user to the first user and/or recommend the first user to the second user.

In this embodiment, after judging whether the similarity meets the preset requirement, the server recommends friends according to the judgment result: if the similarity between the first user and the second user meets the preset requirement, the first user and the second user It is considered suitable to be matched as friends, that is, the first user and the second user are recommended friends to each other, then the second user is recommended to the first user and/or the first user is recommended to the second user (you can recommend both the first user and the second user to the first user. If the similarity between the first user and the second user does not meet the preset requirements, the second user will not be recommended to the first user, nor will the second user be recommended to the first user. The second user recommends the first user. The server recommends friends to the user by sending a recommendation message to the game terminal, and the recommendation message may include one or more recommended friends.

This embodiment provides a method for recommending game friends based on close contact. First, the first close contact data from the first user and the second close contact data from the second user are obtained, and then the first close contact data and the second close contact data are determined based on the first The similarity between the first user and the second user, and then determine whether the similarity meets the preset requirements. If so, the first user and the second user are respectively regarded as the recommended friends of the other party. In this embodiment, the close data is used as the friend recommendation. based on the analysis of the game, so as to combine the real communication situation into the virtual network to discover other users who have more real-life intersection with the user to recommend friends, which enhances the real interaction of the game and makes it easier for users to discover the life habits similar to their own. friend.

Embodiment 2

On the basis of the first embodiment, this embodiment further explains and exemplifies some of the processes in the close connection-based game friend recommendation method, for example, the process of how to obtain the close connection data, which specifically includes:

As shown in FIG. 2 , in the method for recommending game friends based on close connection provided by this embodiment, step S110 includes steps S111-112:

S111. Acquire first Bluetooth data of the first user and second Bluetooth data of the second user, where the first Bluetooth data is used to indicate the Bluetooth connection status of the game terminal of the first user, and the first Bluetooth data is used to indicate the Bluetooth connection status of the game terminal of the first user. The second bluetooth data is used to indicate the bluetooth connection status of the game terminal of the second user.

The first bluetooth data and the second bluetooth data are both record data generated by the game terminal according to its own bluetooth connection, and are used to record the connection time and distance of other game terminals connected to a certain game terminal by bluetooth, and the game terminal belongs to the game terminal. User and other information (that is, the Bluetooth connection status), in this embodiment, in order to facilitate the distinction, the Bluetooth data from the game terminal of the first user is referred to as the first Bluetooth data, and the corresponding Bluetooth data from the game terminal of the second user is referred to as the second Bluetooth data. Bluetooth data.

S112. Determine whether the first user is in close contact with other users according to the first Bluetooth data, and if so, generate first close connection data according to the corresponding close connection situation, and determine whether the second user is in close contact with other users according to the second Bluetooth data. , and if so, the second close data is generated according to the corresponding close connection.

Step S112 is used to identify the close connection between the users according to the Bluetooth data, and the close connection includes two types of close connection and no close connection. In this embodiment, it is determined that the close connection between the two users requires the corresponding game terminal to satisfy: the connection distance meets the preset distance. Require. That is, judging whether the first user is in close contact with other users according to the first Bluetooth data includes:

Determine whether the contact distance between the first user and other users meets the preset distance requirement according to the first Bluetooth data;

If satisfied, it is determined that the first user is in close contact with other users.

More specifically, in some embodiments, as shown in FIG. 3 , step S120 includes steps S121-122:

S121. Generate a first matrix according to a preset rule based on the first contact data, and generate a second matrix based on the second contact data according to a preset rule.

Step S121 is used to extract key data from the concatenated data, and save it in a matrix form for the convenience of subsequent use, that is, generating a first matrix based on the first concatenated data according to a preset rule includes:

Based on the first contact data, a first matrix is determined according to one or more of contact time, number of contact persons, age of persons, and contact points as elements. In a specific example, the columns of the first matrix are based on the first contact The data extracted corresponds to the user's indoor, outdoor, working hours, and non-working hours, and the rows of the first matrix represent different age groups. The generation principle of the second matrix is the same as that of the first matrix. Of course, the above-mentioned close contact time, number of close contact personnel, personnel age, and close contact point are only examples of attributes for determining the matrix given in this embodiment. In fact, you can determine how to extract data from the close contact data to generate a matrix according to your needs.

S122. Determine a ratio similarity based on the first matrix and the second matrix.

After obtaining the first matrix corresponding to the first close data and the second matrix corresponding to the second close data, this embodiment analyzes the similarity between the first user and the second user based on the first matrix and the second matrix. In this example, the similarity is determined based on multiple ratios extracted from the matrix, and the similarity is called ratio similarity. Specifically, in this embodiment, the player is characterized by the ratio between the respective feature values of the first matrix and the second matrix, the ratio between the respective ranks, and the ratio of the various values in each feature vector. , that is, determining the ratio similarity based on the first matrix and the second matrix includes:

determining a first eigenvalue ratio among a plurality of eigenvalues of the first matrix, a first rank ratio among a plurality of ranks, and a first eigenvector ratio among the plurality of eigenvectors, and determining a a second eigenvalue ratio among the plurality of eigenvalues, a second rank ratio among the plurality of ranks, and a second eigenvector ratio among the plurality of eigenvectors;

Linear fitting is performed based on the first eigenvalue ratio, the first rank ratio, the first eigenvector ratio, the second eigenvalue ratio, the second rank ratio and the second eigenvector ratio, and the first user is determined based on the fitting result and the ratio similarity between the second user.

On the basis of Embodiment 1, the method for recommending game friends based on close connection provided in this embodiment further provides a method for determining close connection data from Bluetooth data, and a method for calculating similarity according to the close connection data, which allows players to experience the game It's easier to make real-life friends in the process of being happy.

Embodiment 3

FIG. 4 is a schematic structural diagram of a close connection-based game friend recommendation system provided in Embodiment 3 of the present invention. As shown in FIG. 4 , the system includes:

The contact data acquisition module 310 is configured to acquire the first contact data of the first user and the second contact data of the second user, where the first user and the second user are users of the same game;

a similarity determination module 320, configured to determine the similarity between the first user and the second user based on the first close data and the second close data;

A similarity judgment module 330, configured to judge whether the similarity meets a preset requirement;

A recommending module 340, configured to recommend the second user to the first user and/or recommend the first user to the second user if yes.

More specifically, in one embodiment, the contact data acquisition module includes:

A Bluetooth data acquisition unit, configured to acquire the first Bluetooth data of the first user and the second Bluetooth data of the second user, where the first Bluetooth data is used to represent the Bluetooth connection of the game terminal of the first user situation, the second Bluetooth data is used to represent the Bluetooth connection status of the game terminal of the second user;

The close connection data extraction unit is used to judge whether the first user has close connection with other users according to the first Bluetooth data, if so, generate the first close connection data according to the corresponding close connection situation, and judge whether the second user has close connection according to the second Bluetooth data. A close connection occurs with other users, and if so, the second close connection data is generated according to the corresponding close connection situation.

More specifically, in one embodiment, the close contact data extraction unit is specifically configured to: determine whether the contact distance between the first user and other users meets the preset distance requirement according to the first Bluetooth data; if so, determine the first user Connect with other users.

More specifically, in one embodiment, the similarity determination module specifically includes:

a matrix generating unit, configured to generate a first matrix according to a preset rule based on the first contact data, and generate a second matrix based on the second contact data according to a preset rule;

A similarity calculation unit, configured to determine a ratio similarity based on the first matrix and the second matrix.

More specifically, in an embodiment, the similarity calculation unit is specifically configured to: determine a first eigenvalue ratio among multiple eigenvalues of the first matrix, a first rank ratio among multiple ranks, and multiple eigenvalues. a first eigenvector ratio among the eigenvectors, determining a second eigenvalue ratio among the plurality of eigenvalues of the second matrix, a second rank ratio among the plurality of ranks, and a second eigenvector among the plurality of eigenvectors Eigenvector ratio;

Linear fitting is performed based on the first eigenvalue ratio, the first rank ratio, the first eigenvector ratio, the second eigenvalue ratio, the second rank ratio and the second eigenvector ratio, and the first user is determined based on the fitting result and the ratio similarity between the second user.

More specifically, in one embodiment, the matrix generation unit is specifically configured to: determine the first matrix based on the first close contact data and use one or more of the close contact time, the number of close contact personnel, the age of the personnel, and the close contact point as elements. .

This embodiment provides a game friend recommendation system based on close contact. First, the first close contact data from the first user and the second close contact data from the second user are obtained, and then the first close contact data and the second close contact data are determined based on the first The similarity between the first user and the second user, and then determine whether the similarity meets the preset requirements. If so, the first user and the second user are respectively regarded as the recommended friends of the other party. In this embodiment, the close data is used as the friend recommendation. based on the analysis of the game, so as to combine the real communication situation into the virtual network to discover other users who have more real-life intersection with the user to recommend friends, which enhances the real interaction of the game and makes it easier for users to discover the life habits similar to their own. friend.

Embodiment 4

FIG. 5 is a schematic structural diagram of a server 400 according to Embodiment 4 of the present invention. As shown in FIG. 5 , the server includes a memory 410 and a processor 420. The number of processors 420 in the server may be one or more. A processor 420 is taken as an example in FIG. 5 ; the memory 410 and the processor 420 in the server may be connected by a bus or in other ways, and the connection by a bus is taken as an example in FIG. 5 .

As a computer-readable storage medium, the memory 410 can be used to store software programs, computer-executable programs and modules, such as program instructions/modules corresponding to the method for recommending game friends based on the The close data acquisition module 310, the similarity determination module 320, the similarity determination module 330 and the recommendation module 340 in the game friend recommendation system). The processor 420 executes various functional applications and data processing of the server by running the software programs, instructions and modules stored in the memory 410, ie, implements the above-mentioned method for recommending game friends based on close connection.

The processor 420 is configured to run the computer-executable program stored in the memory 410 to implement the following steps: Step S110: Acquire the first contact data of the first user and the second contact data of the second user, the The first user and the second user are users of the same game; step S120, determine the similarity between the first user and the second user based on the first secret data and the second secret data; step S130, determine the similarity Whether the preset requirements are met; step S140, if yes, recommend the second user to the first user and/or recommend the first user to the second user.

Of course, the server provided by the embodiment of the present invention is not limited to the above-mentioned method operations, and can also perform related operations in the close connection-based game friend recommendation method provided by any embodiment of the present invention.

The memory 410 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Additionally, memory 410 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, memory 410 may further include memory located remotely from processor 420, which may be connected to a server through a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

This embodiment provides a server that first obtains the first close data from the first user and the second close data from the second user, and then determines the first user and the second user based on the first close data and the second close data and then determine whether the similarity meets the preset requirements. If so, the first user and the second user are respectively regarded as the recommended friends of the other party. In this embodiment, the close data is used as the analysis basis for friend recommendation, so that The real communication situation is integrated into the virtual network to discover other users who have more real-world intersection with the user to recommend friends, which enhances the real interaction of the game and makes it easier for users to find friends with similar living habits.

Embodiment 5

Embodiment 5 of the present invention further provides a storage medium containing computer-executable instructions, the computer-executable instructions, when executed by a computer processor, are used to execute a method for recommending game friends based on close contact. Recommended methods include:

Obtain the first contact data of the first user and the second contact data of the second user, where the first user and the second user are users of the same game;

determining the similarity between the first user and the second user based on the first secret data and the second secret data;

Judging whether the similarity meets a preset requirement;

If so, recommending the second user to the first user and/or recommending the first user to the second user to obtain the first close data of the first user and the second close data of the second user;

determining the similarity between the first user and the second user based on the first secret data and the second secret data;

Judging whether the similarity meets a preset requirement;

If so, recommend the second user to the first user and/or recommend the first user to the second user.

Of course, a storage medium containing computer-executable instructions provided by an embodiment of the present invention, the computer-executable instructions of which are not limited to the above-mentioned method operations, and can also execute the close-contact-based game friend provided by any embodiment of the present invention. Related operations in the recommended method.

From the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented by software and necessary general-purpose hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation Way. Based on such understanding, the technical solutions of the present invention can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in a computer-readable storage medium, such as a floppy disk of a computer , Read-Only Memory (ROM), Random Access Memory (RAM), Flash Memory (FLASH), hard disk or CD, etc., including several instructions to make a computer server (which can be a personal computer) , server, or network server, etc.) to execute the methods described in the various embodiments of the present invention.

It is worth noting that in the above-mentioned embodiment of the game friend recommendation system based on close connection, the units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be realized. ; In addition, the specific names of the functional units are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present invention.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention. The scope is determined by the scope of the appended claims.

Claims (10)

1. A method for recommending game friends based on close connection, by comparing users' close connection data to find out game users whose similarity satisfies preset requirements, characterized by comprising:

   Obtain the first contact data of the first user and the second contact data of the second user, the first user and the second user are users of the same game, and the first contact data is used to represent the first user the actual close contact situation of the second user, and the second dense data is used to represent the actual close contact situation of the second user;

   determining the similarity between the first user and the second user based on the first secret data and the second secret data;

   Judging whether the similarity meets the preset requirement;

   If so, recommend the second user to the first user and/or recommend the first user to the second user.
2. The method for recommending game friends based on close contact according to claim 1, wherein the acquiring the first close contact data of the first user and the second close contact data of the second user comprises:

   Obtain the first Bluetooth data of the first user and the second Bluetooth data of the second user, where the first Bluetooth data is used to indicate the Bluetooth connection status of the game terminal of the first user, and the second Bluetooth data The data is used to represent the Bluetooth connection status of the game terminal of the second user;

   According to the first Bluetooth data, determine whether the first user is in close contact with other users, if so, generate first close contact data according to the corresponding close connection situation, and determine whether the second user is in close contact with other users according to the second Bluetooth data. Then, the second close connection data is generated according to the corresponding close connection situation.
3. The method for recommending game friends based on close connection according to claim 2, wherein determining whether the first user has close connection with other users according to the first Bluetooth data comprises:

   Determine whether the contact distance between the first user and other users meets the preset distance requirement according to the first Bluetooth data;

   If satisfied, it is determined that the first user is in close contact with other users.
4. The method for recommending game friends based on closeness according to claim 1, wherein the determining the similarity between the first user and the second user based on the first closeness data and the second closeness data comprises:

   generating a first matrix according to a preset rule based on the first contact data, and generating a second matrix based on the second contact data according to a preset rule;

   A ratio similarity is determined based on the first matrix and the second matrix.
5. The method for recommending game friends based on close contact according to claim 4, wherein determining the ratio similarity based on the first matrix and the second matrix comprises:

   determining a first eigenvalue ratio among a plurality of eigenvalues of the first matrix, a first rank ratio among a plurality of ranks, and a first eigenvector ratio among the plurality of eigenvectors, and determining a a second eigenvalue ratio among the plurality of eigenvalues, a second rank ratio among the plurality of ranks, and a second eigenvector ratio among the plurality of eigenvectors;

   Linear fitting is performed based on the first eigenvalue ratio, the first rank ratio, the first eigenvector ratio, the second eigenvalue ratio, the second rank ratio and the second eigenvector ratio, and the first user is determined based on the fitting result and the ratio similarity between the second user.
6. The method for recommending game friends based on close contact according to claim 4, wherein generating the first matrix according to a preset rule based on the first close contact data comprises:

   Based on the first contact data, a first matrix is determined with one or more of the contact time, the number of contact persons, the age of the persons, and the contact point as elements.
7. A game friend recommendation system based on close connection, which is used to collect close connection data of game users, so as to realize friend recommendation according to the close connection data, and is characterized in that, it includes:

   a contact data acquisition module, configured to acquire the first contact data of the first user and the second contact data of the second user, where the first user and the second user are users of the same game;

   a similarity determination module, configured to determine the similarity between the first user and the second user based on the first close data and the second close data;

   a similarity judging module, configured to judge whether the similarity meets a preset requirement;

   A recommending module, configured to recommend the second user to the first user and/or recommend the first user to the second user if the similarity meets a preset requirement.
8. The close connection-based game friend recommendation system according to claim 7, wherein the close connection data acquisition module comprises:

   A Bluetooth data acquisition unit, configured to acquire the first Bluetooth data of the first user and the second Bluetooth data of the second user, where the first Bluetooth data is used to represent the Bluetooth connection of the game terminal of the first user situation, the second Bluetooth data is used to represent the Bluetooth connection status of the game terminal of the second user;

   The close connection data extraction unit is used to judge whether the first user has close connection with other users according to the first Bluetooth data, if so, generate the first close connection data according to the corresponding close connection situation, and judge whether the second user has close connection according to the second Bluetooth data. A close connection occurs with other users, and if so, the second close connection data is generated according to the corresponding close connection situation.
9. A server, characterized in that it includes:

   one or more processors;

   a storage system for storing one or more programs;

   When the one or more programs are executed by the one or more processors, the one or more processors can implement the contact-based game friend recommendation method according to any one of claims 1-6 .
10. A computer-readable storage medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the method for recommending game friends based on close contact according to any one of claims 1-6 is implemented.