CN114417175A

CN114417175A - Social association information acquisition method and device, electronic equipment and storage medium

Info

Publication number: CN114417175A
Application number: CN202011173353.3A
Authority: CN
Inventors: 白恩洋; 毛景树; 王珵
Original assignee: Beijing Dajia Internet Information Technology Co Ltd
Current assignee: Beijing Dajia Internet Information Technology Co Ltd
Priority date: 2020-10-28
Filing date: 2020-10-28
Publication date: 2022-04-29

Abstract

The disclosure relates to a method and a device for acquiring social association information, electronic equipment and a storage medium, and belongs to the technical field of internet. The method comprises the following steps: generating social association information based on account relationships in the platform; acquiring event information, and adding the event information in the social association information; obtaining the type of each account in the plurality of accounts, and adding the type of each account in the social association information. The social association information generated in this way can accurately represent the type of association between accounts.

Description

Social association information acquisition method and device, electronic equipment and storage medium

Technical Field

The present disclosure relates to the field of internet technologies, and in particular, to a method and an apparatus for acquiring social association information, an electronic device, and a storage medium.

Background

With the development of internet technology, social networks are more and more popular in application, and the scale of users is larger and larger. In an existing scheme for obtaining social association information, a user and another user interested by the user are generally determined to be a friend relationship based on the attention relationship of the user, so that the social association information of the user is obtained. Therefore, in the conventional scheme, it is confirmed that all users are in a uniform friend relationship or close relationship, but it is not possible to determine what account relationship is between the two users, that is, it is not possible to accurately know the association relationship between the accounts.

Disclosure of Invention

The disclosure provides a method and a device for acquiring social association information, electronic equipment and a storage medium, which can accurately determine the type of association relationship between accounts.

According to an aspect of the embodiments of the present disclosure, a method for acquiring social association information is provided, where the method includes:

generating social association information based on account relations in a platform, wherein the social association information comprises a plurality of accounts in the platform and account relations between any two accounts in the plurality of accounts;

obtaining event information, and adding the event information in the social association information, wherein the event information comprises a target event associated with at least one account in the plurality of accounts;

obtaining the type of each account in the plurality of accounts, and adding the type of each account in the social association information.

In one possible implementation manner, before generating the social association information based on the account relationship in the platform, the obtaining method further includes:

acquiring dynamic information issued by a first account, wherein the first account is any one of the plurality of accounts, and the dynamic information at least comprises account information associated with the first account;

extracting a second account and a relation key word from the dynamic information, wherein the relation key word is used for representing the account relation between the first account and the second account, and the second account is any account which is different from the first account in the plurality of accounts;

and determining the account relation represented by the relation key words as a first account relation between the first account and the second account.

In another possible implementation manner, the dynamic information further includes a preset symbol, where the preset symbol is used to indicate that information subsequent to the preset symbol belongs to an account, and the extracting a second account and a relationship keyword from the dynamic information includes:

and taking the information after the preset symbol in the dynamic information as the second account.

In another possible implementation manner, the extracting the second account and the relationship keyword from the dynamic information includes:

and matching at least one set relation keyword with the dynamic information to obtain the relation keyword contained in the dynamic information.

In another possible implementation manner, before generating the social association information based on the account relationship in the platform, the obtaining method further includes:

obtaining common characters contained in a plurality of accounts with target account relation in the platform;

obtaining another account containing the common characters, wherein the another account is any account in the platform;

determining a relationship between the another account and each of the plurality of accounts having the target account relationship as the target account relationship.

In another possible implementation manner, the obtaining common characters contained in a plurality of accounts with target account relations in the platform includes:

selecting a preset number of accounts from the plurality of accounts with the target account relationship according to the sequence of the attention number of the plurality of accounts with the target account relationship from the most attention number;

determining the same characters contained in the preset number of accounts as the common characters.

In another possible implementation manner, the determining, as the common character, the same character included in the preset number of accounts includes:

determining the same characters contained in the accounts with the preset number as alternative characters;

determining the proportion of the number of accounts containing the alternative characters in the plurality of accounts with the target account relationship;

in response to the ratio exceeding a reference ratio, determining the alternative character as the common character.

taking the same characters contained in any two accounts in the plurality of accounts as alternative characters to obtain a plurality of alternative characters;

determining a longest candidate character of the plurality of candidate characters as the common character.

In another possible implementation manner, the obtaining another account containing the common character includes:

determining the other account that includes the common character and that has no text before and after the common character, different from the plurality of accounts having the target account relationship.

acquiring a second account relationship between a third account and a fourth account in the platform and a third account relationship between the third account and a fifth account;

acquiring a fourth account relation corresponding to the second account relation and the third account relation in the relation knowledge data;

determining the fourth account relationship as an account relationship between the fourth account and the fifth account.

In another possible implementation manner, the obtaining method further includes:

determining any two accounts of the plurality of accounts having an account relationship with the same account, no account relationship existing between the any two accounts;

recommending one of the two accounts for the other account.

according to the account relationship between any two accounts in the plurality of accounts, connecting account nodes corresponding to any two accounts through a relationship connecting line to obtain a user relationship map;

adding event nodes corresponding to the target event in the user relationship graph, and connecting the event nodes with account nodes corresponding to the at least one account through event connecting lines to obtain an event relationship graph;

adding a type node corresponding to the type in the user relationship graph, and connecting the type node with an account node corresponding to at least one account belonging to the type through a type connecting line to obtain the type relationship graph.

according to the social association information, determining account nodes corresponding to the accounts, event nodes corresponding to the target events and type nodes corresponding to the types;

and connecting the determined account nodes, the event nodes and the type nodes through connecting lines to obtain a relationship graph, wherein the connecting lines between any two account nodes, between the account nodes and the event nodes and between the account nodes and the type nodes belong to connecting lines with different dimensions.

In another possible implementation manner, the connecting the determined plurality of account nodes, the event node, and the type node by connecting lines to obtain a relationship graph, where the relationship graph includes at least two of the following:

according to the account relationship between any two accounts in the plurality of accounts, connecting the account nodes corresponding to any two accounts through a relationship connecting line to obtain the relationship map, wherein the relationship connecting line represents the account relationship between any two accounts in the plurality of accounts;

connecting at least one account node in the plurality of account nodes with the event node through an event connecting line to obtain the relationship graph;

and connecting the plurality of account nodes with the type nodes through type connecting lines to obtain the relation map.

determining a third relationship connection line between a second account node and a third account node according to a first relationship connection line between the first account node and the second account node and a second relationship connection line between the first account node and the third account node;

and connecting the second account node with the third account node through the third relation connecting line.

In another possible implementation manner, the relationship graph includes at least one user group graph, the user group graph includes a plurality of account nodes, and the account nodes in different user group graphs are not connected.

creating the plurality of account nodes, the event node, and the type node in the relationship graph.

determining any two account nodes connected with the same node according to the relationship graph, wherein the same node comprises any one of an account node, an event node or a type node, and the any two account nodes are not connected;

and recommending an account corresponding to the other account node to an account corresponding to one account node in any two account nodes.

According to another aspect of the embodiments of the present disclosure, there is provided an apparatus for acquiring social association information, the apparatus including:

the system comprises an association information generation unit, a storage unit and a display unit, wherein the association information generation unit is configured to execute generation of social association information based on account relations in a platform, and the social association information comprises a plurality of accounts in the platform and account relations between any two accounts in the plurality of accounts;

an event information acquisition unit configured to perform acquisition of event information, the event information being added to the social association information, the event information including a target event associated with at least one of the plurality of accounts;

a type obtaining unit configured to perform obtaining a type to which each account of the plurality of accounts belongs, and add the type to which each account belongs to the social association information.

In one possible implementation manner, the obtaining apparatus further includes:

a dynamic information obtaining unit configured to perform obtaining dynamic information issued by a first account, the first account being any one of the plurality of accounts, wherein the dynamic information at least includes account information associated with the first account;

an extracting unit configured to perform extraction of a second account and a relationship keyword from the dynamic information, the relationship keyword being used to represent an account relationship between the first account and the second account, the second account being any one of the plurality of accounts different from the first account;

a relationship determination unit configured to perform a determination of the account relationship represented by the relationship keyword as a first account relationship between the first account and the second account.

In another possible implementation manner, the dynamic information further includes a preset symbol, where the preset symbol is used to indicate that information after the preset symbol belongs to an account, and the extracting unit is configured to perform, as the second account, information after the preset symbol in the dynamic information.

In another possible implementation manner, the extracting unit is configured to perform matching processing on at least one set relationship keyword and the dynamic information to obtain the relationship keyword included in the dynamic information.

In another possible implementation manner, the obtaining apparatus further includes:

a character acquisition unit configured to perform acquisition of common characters contained in a plurality of accounts having a target account relationship in the platform;

an account acquisition unit configured to perform acquisition of another account containing the common character, the another account being any one of the accounts in the platform;

the relationship determination unit is further configured to perform determining a relationship between the another account and each of the plurality of accounts having the target account relationship as the target account relationship.

In another possible implementation manner, the character obtaining unit is configured to perform:

In another possible implementation manner, the account obtaining unit is configured to perform determining that the another account, which contains the common character and has no text before and after the common character, is different from the plurality of accounts having the target account relationship.

a relationship obtaining unit configured to perform obtaining a second account relationship between a third account and a fourth account in the platform, and a third account relationship between the third account and a fifth account;

the relationship obtaining unit is further configured to perform obtaining a fourth account relationship corresponding to the second account relationship and the third account relationship in the relationship knowledge data;

the relationship determination unit is further configured to perform determining the fourth account relationship as an account relationship between the fourth account and the fifth account.

a recommending unit configured to execute determining any two accounts which have account relationship with the same account in the plurality of accounts, wherein the account relationship does not exist between the any two accounts;

the recommending unit is further configured to recommend one account of the any two accounts to the other account.

the map determining unit is configured to execute connection of account nodes corresponding to any two accounts through a relation connecting line according to the account relation between any two accounts in the plurality of accounts to obtain a user relation map;

the graph determining unit is further configured to add an event node corresponding to the target event in the user relationship graph, and connect the event node with an account node corresponding to the at least one account through an event connecting line to obtain an event relationship graph;

the graph determining unit is further configured to add a type node corresponding to the type in the user relationship graph, and connect the type node with an account node corresponding to at least one account belonging to the type through a type connecting line to obtain a type relationship graph.

a node determining unit configured to determine account nodes corresponding to the plurality of accounts, event nodes corresponding to the target event, and type nodes corresponding to the types according to the social association information;

the graph determining unit is further configured to execute connecting the determined plurality of account nodes, the event nodes and the type nodes through connecting lines to obtain a relationship graph, and the connecting lines between any two account nodes, between an account node and an event node and between an account node and a type node belong to connecting lines with different dimensions.

In another possible implementation manner, the atlas determination unit is further configured to perform:

a node creating unit configured to perform creating the plurality of account nodes, the event node, and the type node in the relationship graph.

a recommending unit configured to determine any two account nodes connected with the same node according to the relationship graph, wherein the same node comprises any one of an account node, an event node or a type node, and the any two account nodes are not connected with each other;

the recommending unit is further configured to recommend an account corresponding to one account node of the any two account nodes to an account corresponding to the other account node.

According to still another aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:

one or more processors;

volatile or non-volatile memory for storing the one or more processor-executable instructions;

wherein the one or more processors are configured to execute the method for obtaining social association information of the above aspect.

According to still another aspect of the embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium, wherein instructions of the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method for acquiring social association information according to the above aspect.

According to still another aspect of the embodiments of the present disclosure, there is provided a computer program product, wherein when the instructions in the computer program product are executed by a processor of an electronic device, the electronic device is enabled to execute the method for acquiring social association information according to the above aspect.

The beneficial effects brought by the technical scheme provided by the embodiment of the disclosure at least comprise:

according to the method, the device, the electronic equipment and the storage medium for acquiring the social association information, the generated social association information comprises account relations between any two accounts in the multiple accounts, and the social association information can accurately represent the relations between the accounts, so that the type of the association relations between the accounts can be accurately determined. And the type of the event information or the account belongs to can be added into the social association information, so that the social association information comprises different dimensions, and the information amount in the social association information is increased.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

Fig. 1 is a flowchart illustrating a method for obtaining social association information according to an exemplary embodiment.

FIG. 2 is a flow chart illustrating another method of obtaining social association information, according to an example embodiment.

FIG. 3 is a schematic diagram illustrating a user interface in accordance with an exemplary embodiment.

FIG. 4 is a schematic diagram illustrating another user interface in accordance with an exemplary embodiment.

FIG. 5 is a flow diagram illustrating a method for determining common characters according to an exemplary embodiment.

FIG. 6 is a flow diagram illustrating a relationship graph construction method according to an exemplary embodiment.

FIG. 7 is a diagram illustrating a relationship graph according to an exemplary embodiment.

FIG. 8 is a schematic diagram illustrating another relationship map, according to an example embodiment.

FIG. 9 is a schematic diagram illustrating another relationship map, according to an example embodiment.

Fig. 10 is a block diagram illustrating an apparatus for obtaining social association information according to an example embodiment.

Fig. 11 is a block diagram illustrating another apparatus for obtaining social association information according to an example embodiment.

Fig. 12 is a block diagram illustrating a terminal according to an example embodiment.

FIG. 13 is a block diagram illustrating a server in accordance with an exemplary embodiment.

Detailed Description

In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.

It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the description of the above-described figures are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.

It should be noted that the user information (including but not limited to user device information, user personal information, etc.) referred to in the present disclosure is information authorized by the user or sufficiently authorized by each party.

The embodiment of the disclosure provides a method for acquiring social association information, which can be applied to various scenes.

For example, the method is applied to the scene of account recommendation based on the social association information.

By adopting the method for acquiring the social association information, the event information and the type of the account in the acquisition platform are acquired, when the account is recommended for the account A, another account B related to the account A is determined from the social association information, and the account B is recommended to the account A.

The method is also applied to the account recommendation scene based on the constructed relation graph.

By adopting the method for acquiring the social association information provided by the embodiment of the disclosure, the relationship graph comprising the plurality of account nodes, the event nodes and the type nodes is constructed, when the account is recommended for the account A, another account node which is connected with the same node as the account node corresponding to the account A is determined from the relationship graph, and the account B corresponding to the another account node is recommended to the account A.

Because the account node corresponding to the account A and the account node corresponding to the account B are connected with the same node, such as the same type node or the same event node, the account B and the account A have an association relationship, such as belonging to the same type or having the same event, the account B is recommended to the account A, and the recommendation accuracy can be improved.

Fig. 1 is a flowchart illustrating a method for acquiring social association information according to an exemplary embodiment, and referring to fig. 1, the method is applied to an electronic device, and the electronic device is a terminal or a server. The terminal can be various types of portable, pocket, handheld and the like, such as a mobile phone, a computer, a tablet computer and the like. The server can be a server, a server cluster consisting of a plurality of servers, or a cloud computing service center. The method comprises the following steps:

101. social association information is generated based on account relationships in the platform.

The platform refers to a social application, the user can create an account in the platform, the account relationship refers to a relationship between any two accounts in the platform, for example, the account relationship includes a friend relationship, a partner relationship, a cooperative relationship, a master-apprentice relationship, and the like, and the account is an ID, a nickname, and the like which represent the identity of the user.

The electronic equipment acquires information such as a plurality of accounts in the platform, accounts concerned by each account or dynamic information issued by a user based on the accounts, and then determines the account relationship between any two accounts according to the acquired information to generate social association information. The social association information comprises a plurality of accounts in the platform and account relations between any two accounts in the accounts, and can accurately represent the account relations between the accounts, so that the types of the association relations between the accounts are accurately determined.

102. And acquiring event information, and adding the event information into the social association information.

Wherein the event information includes a target event associated with at least one of the plurality of accounts. The event information may include an event subject, event contents, event occurrence time, cause of event occurrence, passage and result, persons involved in the event, a field to which the event belongs, and the like. Adding the event information to the social association information means adding the event information to the social association information and associating the event information with an account related to the event information.

The embodiment of the present disclosure takes a first account as an example, where the first account is any one of a plurality of accounts, and the manner of obtaining event information associated with the first account includes the following:

in a possible implementation manner, when any event information includes a first account, it indicates that a first user corresponding to the first account is a principal of an event, and then the event information is taken as associated event information of the first account.

In another possible implementation manner, any terminal determines event information of an event as event information associated with the first account based on that the first account publishes comment information of the event.

In another possible implementation manner, after any terminal issues comment information about an event based on the first account, other accounts may operate the comment information, such as a praise operation or a comment operation, and if the comment information is operated by more than a preset number of accounts, it indicates that the comment information is popular and is concerned by other users, and it may be considered that the first account is associated with the event, so that the event information about the event is determined as the event information associated with the first account.

In addition, the foregoing possible implementation manner is to determine the event information associated with the first account from the perspective of the first account, and in another embodiment, the event information associated with the first account can also be determined from the perspective of the event, that is, the electronic device can acquire an event which is searched for more than a preset number of times in the social network, then determine the account associated with the event, and use the event information of the event as the event information associated with the account. The account related to the event is an account contained in the event information, or an account which issues comment information to the event and exceeds a preset number of accounts operating the comment information.

103. And acquiring the type of each account in the plurality of accounts, and adding the type of each account in the social association information.

Adding the type to which each account belongs to the social association information means adding the type to which the account belongs to the social association information and associating the accounts belonging to the same type. Wherein optionally each account is of one type or a plurality of types.

In one possible implementation, the electronic device obtaining a type to which the first account belongs includes: the electronic equipment obtains introduction information of the first account, performs word segmentation processing on the introduction information to obtain a plurality of words included in the introduction information, filters out words which are irrelevant to types, such as adjectives and Chinese language words, in the plurality of words, and selects words representing the types from the plurality of words remaining after filtering, so as to obtain type information. The introduction information comprises a personal profile or authentication information, the personal profile is information filled by the user, and the authentication information is real information filled by the user and authenticated. The types of the accounts include singing and broadcasting, music players, body-building players, game players, e-commerce players and the like.

For example, the introduction information of the first account is "xx platform first game anchor", and the introduction information is word-segmented to obtain "xx platform", "first", and "game anchor", wherein the "xx platform" and the "first" are independent of the type, and the "game anchor" is associated with the type, so that it is determined that the type to which the first account belongs is the game anchor.

In another possible implementation manner, when the first user publishes the multimedia data in the social network, the multimedia data, such as a video or an image, is published based on the first account corresponding to the first user. Therefore, the electronic equipment acquires the multimedia data issued based on the first account, identifies the multimedia data, and determines the type of the multimedia data, namely the type of the multimedia data frequently issued by the first account, so that the type of the first account is determined according to the type. For example, the video that the user publishes based on the corresponding account is a video related to fitness, so it can be determined that the user belongs to a fitness owner.

According to the method provided by the embodiment of the disclosure, the generated social association information comprises the account relationship between any two accounts in the multiple accounts, the social association information can accurately represent the relationship between the accounts, so that the association relationship type between the accounts can be accurately determined, and event information or the type of the account is added into the social association information, so that the social association information comprises different dimensions, and the information amount in the social association information is increased.

In the embodiment shown in fig. 1, the social association information is generated based on the account relationship in the platform, and then the account relationship between any two accounts in the multiple accounts in the platform needs to be acquired before the social association information is generated, and a process of acquiring the account relationship in the platform is described below.

Fig. 2 is a flowchart illustrating a method for acquiring social association information according to an exemplary embodiment, referring to fig. 2, the method is applied to an electronic device, and the method includes the following steps:

201. for any account, acquiring other accounts associated with the account and account relations between the account and other accounts according to the dynamic information issued by the account.

In the embodiment of the present disclosure, for example, any account is a first account, and other accounts are second accounts, the electronic device collects associated user information of the first account, where the associated user information of the first account includes the second account and a relationship keyword, and the relationship keyword is used to represent an account relationship between the first account and the second account.

In one possible implementation manner, the associated user information is issued dynamic information, the dynamic information at least comprises account information associated with the first account, and the electronic device acquires the dynamic information issued based on the first account; the second account and the relation key words can be extracted from the dynamic information, and the account relation represented by the relation key words is determined as the first account relation between the first account and the second account. Wherein the dynamic information is text information, audio information or other types of information.

In one possible implementation, the dynamic information further includes a preset symbol, and the preset symbol is used to indicate that the information after the preset symbol belongs to the account. The electronic device extracts a second account from the dynamic information, including: and taking the information after the preset symbol in the dynamic information as a second account. The preset symbol is any preset symbol, for example, the preset symbol is "@" or other symbols.

In a possible implementation manner, the electronic device presets at least one relationship keyword, and performs matching processing on the set at least one relationship keyword and the dynamic information to obtain the relationship keyword included in the dynamic information.

In a possible implementation manner, after the account and the relationship keyword are extracted from the dynamic information, it is further required to determine whether the positions of the second account and the relationship keyword in the dynamic information satisfy a preset condition, and when the preset condition is satisfied, the account relationship between the first account and the second account can be determined to be the relationship represented by the relationship keyword. Wherein the preset conditions are as follows: the relationship key words are located before the second account, and no words exist between the relationship key words and the second account.

That is, if the relationship keyword in the dynamic information is located before the second account and there is no text between the relationship keyword and the second account, the account relationship between the first account and the second account is the account relationship represented by the relationship keyword. If the relation keyword and the second account have characters, even if the relation keyword and the second account are extracted, the account relation between the first account and the second account cannot be determined as the account relation represented by the relation keyword because the relation keyword is not adjacent to the second account. By adopting the method, the accuracy of the determined account relation is improved.

If the dynamic information comprises a plurality of second accounts, the relationship key words are positioned in front of the plurality of second accounts, no words exist between the plurality of second accounts, and no words exist between the relationship key words and the first second account, the account relationship represented by the relationship key words is determined to be the account relationship between the first account and the first second account, and the account relationship between the first account and other second accounts in the plurality of second accounts cannot be determined.

For example, referring to the user interface shown in fig. 3, account a publishes a video work and the profile corresponding to the video work, "there is a rainbow occurrence sf after cloud: @ Account B, @ Account C ", which includes the relationship keywords" Master ", second Account" Account B ", and third Account" Account C ". And characters do not exist between the relation keyword teacher and the second account B, so that the user corresponding to the account B can be determined as the teacher of the user corresponding to the account A.

In another possible implementation manner, if the introduction information of the first account includes the second account and the relationship keyword, the second account and the relationship keyword are extracted from the introduction information. The extraction method is similar to the above extraction method for extracting the second account and the relationship keywords from the dynamic information, and is not described herein again.

For example, referring to the user interface shown in fig. 4, the introductory information of account a is "master: account B "including the relationship keywords" teacher "and the second account" account B ". And characters do not exist between the relation keyword teacher and the second account B, so that the user corresponding to the account B can be determined as the teacher of the user corresponding to the account A.

In one possible implementation, multiple different relationship keywords can represent the same account relationship, e.g., the account relationships represented by the various relationship keywords are shown in Table 1 below.

TABLE 1

Account relationships	Relationship key word
		Master (master)	Master, ZunShi, Jiashi, Enchan, Shi, SF, SF, Shi
Relatives and relatives	Parents, children, brothers and sisters, siblings … …
		Large size (big)	Large size
Small size (small)	Small size

It should be noted that, the embodiment of the present disclosure is only described by taking the example that the dynamic information includes the second account and the relationship keyword, and in another embodiment, the dynamic information can include a plurality of accounts and a relationship keyword corresponding to each account.

202. The common characters contained by a plurality of accounts with target account relations in the platform are obtained.

The target account relationship refers to the same user group, and any two accounts in the multiple accounts in the same user group are considered to have the target account relationship. Each user group has a corresponding common character, and the common character is the same character contained in a plurality of accounts in the user group.

For each user group, the common characters of the user group need to be determined according to a plurality of accounts in the user group. In one possible implementation manner, the electronic device selects a preset number of accounts from a plurality of accounts according to the sequence of the attention number from the highest to the lowest; the same characters contained in a preset number of accounts are determined as common characters. The attention amount of the account refers to the amount of other accounts paying attention to the account, namely the number of fans of the account in the social network. The predetermined number is any number, for example, the predetermined number is 2, 3, or other number.

For a user group, it is considered that accounts with a larger amount of interest in the user group can represent the user group, and therefore the same characters in the accounts with a larger amount of interest are taken as common characters.

In another possible implementation, if the same characters in a plurality of accounts with a larger number of concerns are not the same as the same characters in other accounts, the determined common characters cannot represent a large portion of the accounts in the user group, and are not accurate enough. Therefore, to avoid this, the electronic device determines the same characters contained in a preset number of accounts as alternative characters; determining the proportion of the number of accounts containing the alternative characters in the plurality of accounts; in response to the ratio exceeding the reference ratio, the alternative character is determined to be a common character, thereby ensuring that a majority of accounts in the user group contain the common character, the common character being capable of representing the user group. The electronic device continues to acquire other alternative characters or determines that the user group does not have a common character in response to the ratio not exceeding the reference ratio.

In another possible implementation manner, the electronic device takes the same characters contained in any two adjacent accounts in the multiple accounts as alternative characters to obtain multiple alternative characters; the longest candidate character of the plurality of candidate characters is determined as a common character. That is, a plurality of identical characters are determined from a plurality of accounts, and then a common character is selected from the plurality of identical characters, because if the character is short, accounts in other user groups may also contain the common character, in order to avoid duplication with the common character in other user groups, the longest candidate character is determined as the common character, so as to ensure that the common character only represents the user group.

In another possible implementation manner, referring to the flowchart shown in fig. 5, according to the sequence of the attention number from the top to the bottom, first selecting two accounts arranged at the top, determining the same characters contained in the two accounts, determining the proportion of the number of accounts containing the same characters in the multiple accounts of the user group, determining whether the reference proportion is exceeded, and if the reference proportion is exceeded, determining the same characters as common characters; if the reference ratio is not exceeded, whether two other accounts behind the two accounts are continuously selected or not is judged, if the two other accounts are selected, the same characters in the two other accounts are determined, and the judging process is continuously executed until the common characters are determined. And if the other two accounts after the two accounts are not continuously selected, ending the process.

If all accounts are traversed and the ratio corresponding to no same character exceeds the reference ratio, the user group is considered to have no common character and 203 and 204 are not executed.

203. Another account is obtained that contains the common character.

Wherein the other account is any account in the platform, and the other account is different from the plurality of accounts in the user group.

In one possible implementation, the electronic device determines another account that contains a common character and has no text before and after the common character, as opposed to multiple accounts with a target account relationship.

For example, the common character of one user group is "cross", the account "zhang san-zhu" and "lie quan-zhu" containing "cross" are found for both accounts, the symbol "-" in "zhang san-zhu" is before "cross", the "-" does not belong to a letter, and there is no other letter after "cross", and thus, it is determined that the account "zhang san-zhu" belongs to the user group. And the "fork" in the "lie-four fork" is preceded by the character "four", and therefore, it is determined that the account "lie-four fork" does not belong to the user group.

204. A relationship between another account and each of the plurality of accounts having the target account relationship is determined as the target account relationship.

The other account also belongs to the user group, and the other account has a target account relationship with other accounts in the user group, for example, the target account relationship is a relationship of collaboration, a relationship of relative, etc. In one possible implementation, the account with the highest amount of interest in the user group is determined as the leader account in the user group, and the other account and the account with the highest amount of interest are considered to be the target account relationship. Wherein the focus amount refers to the amount of other accounts that focus on the account.

205. An account relationship between the fourth account and the fifth account is determined based on a second account relationship between the third account and the fourth account and a third account relationship between the third account and the fifth account in the platform.

In the embodiment of the disclosure, the relationship between accounts with other undetermined relationships is obtained by reasoning according to the determined account relationship among the accounts. For example, the user corresponding to account B has a relationship with the user corresponding to account a.

The account relationship between the fourth account and the fifth account is inferred with the intermediary of a third account in the platform. Firstly, a second account relationship between a third account and a fourth account and a third account relationship between the third account and a fifth account need to be acquired; then acquiring a fourth account relation corresponding to the second account relation and the third account relation in the relation knowledge data; the fourth account relationship is determined as the account relationship between the fourth account and the fifth account.

Additionally, in one possible implementation, after the account relationships between the multiple accounts are determined, account recommendations can be made based on known account relationships. The electronic device determines any two accounts which have account relationship with the same account in the plurality of accounts, wherein the account relationship does not exist between the any two accounts; and recommending one account of the any two accounts to the other account to realize account recommendation.

In addition, in the above embodiment, different accounts correspond to different users, and the account relationship between the accounts indicates the relationship between the corresponding users. For a plurality of accounts belonging to the same user, for example, a large number, a small number, a work number, a life number, an enterprise number, and the like of the same user, the account relationship between the plurality of accounts belonging to the same user can be determined by using the similar embodiment. For example, the work number of the user is "work number a", the life number of the user is "life number a", and the user issues dynamic information "work related question, please contact work number: @ work number a ", the relationship keywords" work number "and" work number a "can be extracted from the dynamic information, thereby determining that" life number a "and" work number a "belong to the same user, and" work number a "is the work number of" life number a ".

According to the method provided by the embodiment of the disclosure, the account relationship between any two accounts in the multiple accounts is determined through the collected relationship keywords, the account relationship between the accounts with undetermined relationship can be inferred according to the known account relationship between the multiple accounts, and other accounts with relationship between the accounts can be determined according to the common characters, so that account relationships between more accounts are obtained, and the information amount in the social association information is further increased.

In the embodiment of the present disclosure, after obtaining social association information including account relationships between any two of the multiple accounts, event information, and types to which the accounts belong, a relationship graph can be constructed based on the social association information, and a relationship graph construction process is described below.

Fig. 6 is a flowchart illustrating a relationship graph building method, see fig. 6, applied in an electronic device, according to an exemplary embodiment, the method including the steps of:

601. and according to the social association information, determining account nodes corresponding to the multiple accounts, event nodes corresponding to the target events and type nodes corresponding to the types.

Before the electronic equipment constructs the relation graph according to the association information, the corresponding nodes are created, account nodes corresponding to all accounts are created according to the multiple accounts, event nodes corresponding to all events are created according to the event information, and type nodes corresponding to all types are created according to the types of the accounts.

The electronic equipment finds account nodes corresponding to all accounts according to the multiple accounts included in the social association information; searching an event node corresponding to each event according to the event information associated with each account; and searching a type node corresponding to each type according to the type of each account.

602. And connecting the determined account nodes, event nodes and type nodes through connecting lines to obtain a relationship graph.

Connecting lines between any two account nodes, between the account nodes and the event nodes and between the account nodes and the type nodes belong to connecting lines with different dimensions, a relation connecting line between the two account nodes belongs to the account dimension, and the relation connecting line represents the account relation between the two accounts; an event connecting line between the account node and the event node belongs to the event dimension, and the event connecting line represents the association of the account and the event; the type connecting line between the account node and the type node belongs to the type dimension, and the type connecting line indicates that the account belongs to the corresponding type.

For any two users, the relationship between the two users is unchanged in real life, but the obtained relationship is different when the two users are seen from different angles. And different relationships correspond to different relationship connecting lines. For example, a teacher-apprentice relationship exists between two users corresponding to two account nodes, a relation connecting line between the two account nodes may be a teacher-apprentice connecting line, a teacher-father connecting line or a apprentice connecting line, and similarly, a teacher-apprentice relationship can be indicated between two users corresponding to two account nodes.

In one possible implementation, the relationship connecting line between two account nodes has a direction, that is, the relationship connecting line between two account nodes is pointed to by one account node to the other account node, and the relationship connecting line represents the relationship of the user corresponding to the pointed account node relative to the user corresponding to the other account node. For example, the relationship connecting line between the first account node and the second account node points to the second account node from the first account node, and the relationship connecting line represents a teacher-parent relationship, which means that the user corresponding to the second account node is a teacher-parent of the user corresponding to the first account node.

In another possible implementation, the relationship connecting line between two account nodes has no direction, that is, the two account nodes are directly connected by the relationship connecting line, and the relationship connecting line represents the relationship between the accounts corresponding to the two account nodes. For example, the relationship connecting line between the first account node and the second account node represents a teacher-apprentice relationship, and then represents that the user corresponding to the first account node is in a teacher-apprentice relationship with the user corresponding to the second account node, but cannot represent which user is a teacher and which user is an apprentice.

For event connection lines and type connection lines, the connection lines are meant to be the same, whether or not the connection lines have a direction. For example, the event connection line is pointed to the account node by the event node, or pointed to the event node by the account node, which both indicate that the user corresponding to the account node is a participant of the event corresponding to the event node. Similarly, the type node is pointed to the account node by the type node, or pointed to the type node by the account node, both of which indicate that the user corresponding to the account node belongs to the type indicated by the type node.

In the embodiment of the disclosure, an account relationship between two accounts is determined according to social association information, account nodes corresponding to the two accounts are connected through a relationship connecting line representing the account relationship, an event in which a user corresponding to the account participates is determined according to the social association information, the account nodes are connected with the event nodes through event connecting lines, a type to which the account belongs is determined according to the social association information, and the account nodes are connected with the type nodes through type connecting lines, so that a multidimensional relationship graph including the account nodes, the event nodes, the type nodes and connecting lines of various dimensions is obtained.

When a multi-dimensional relation graph is constructed, the following possible implementation modes are respectively adopted to connect nodes belonging to different dimensions:

in one possible implementation manner, the electronic device connects account nodes corresponding to any two accounts through a relationship connecting line according to an account relationship between any two accounts in the multiple accounts to obtain a relationship graph, where the relationship graph is a user relationship graph of user dimensions.

In one possible implementation, the electronic device connects at least one account node of the plurality of account nodes with the event node through an event connection line to obtain a relationship graph, where the relationship graph is an event relationship graph of an event dimension.

In one possible implementation, the electronic device connects the plurality of account nodes and the type node through a type connecting line to obtain a relationship graph, where the relationship graph is a type relationship graph of a type dimension.

By adopting the method, the relation maps with different dimensions can be respectively constructed, and if at least two modes are combined, the multidimensional relation map can be constructed.

In another possible implementation manner, the electronic device connects account nodes corresponding to any two accounts through a relationship connecting line according to an account relationship between any two accounts in the multiple accounts to obtain a user relationship map; adding event nodes corresponding to target events in the user relationship graph, and connecting the event nodes with account nodes corresponding to at least one account in a plurality of accounts through event connecting lines to obtain an event relationship graph, wherein the event relationship graph is a multi-dimensional relationship graph comprising user dimensions and event dimensions; or adding type nodes corresponding to the types in the user relationship graph, and connecting the type nodes with account nodes corresponding to at least one account belonging to the types through type connecting lines to obtain the type relationship graph, wherein the type relationship graph is a multi-dimensional relationship graph comprising user dimensions and type dimensions; or adding event nodes corresponding to the target events and type nodes corresponding to the types in the user relationship graph to obtain the relationship graph comprising the user dimension, the event dimension and the type dimension.

For example, an event relationship graph shown in fig. 7 is constructed, where circles in the event relationship graph represent account nodes, rectangles represent event nodes, the event relationship graph includes account nodes a, account nodes B, account nodes C, account nodes D, and target event nodes, any two account nodes are connected by a relationship connecting line, any account node and the target event node are connected by an event connecting line, and the relationships represented in the event relationship graph include: the user corresponding to the account node B is the wife of the user corresponding to the account node D, the user corresponding to the account node A and the user corresponding to the account node C are both the vain brothers of the user corresponding to the account node D, and the user corresponding to the account node D is the participant of the target event corresponding to the target event node.

For example, a type relationship graph shown in fig. 8 is constructed, where a circle in the type relationship graph represents an account node, a diamond in the type relationship graph represents a type node, the type relationship graph includes an account node a, an account node B, an account node C, an account node D, and an e-commerce anchor node, and relationships expressed in the type relationship graph include: the user corresponding to the account node B is the wife of the user corresponding to the account node D, the user corresponding to the account node A and the user corresponding to the account node C are both the vain brothers of the user corresponding to the account node D, and the user corresponding to the account node D and the user corresponding to the account node B belong to the E-commerce anchor.

For example, a multidimensional relationship graph shown in fig. 9 is constructed, where circles represent account nodes, rectangles represent event nodes, and diamonds represent type nodes, the multidimensional relationship graph includes account node a, account node B, account node C, account node D, target event node, and e-commerce anchor node, and the relationships represented by the multidimensional relationship graph include: the user corresponding to the account node B is the wife of the user corresponding to the account node D, the user corresponding to the account node A and the user corresponding to the account node C are both the vain brother of the user corresponding to the account node D, the user corresponding to the account node D is the participant of the target event corresponding to the target event node, and the user corresponding to the account node D and the user corresponding to the account node B belong to the E-commerce anchor.

In a possible implementation manner, the obtained relationship graph includes at least one user group graph, each user group graph includes a plurality of account nodes, the account nodes in different user group graphs are not connected, but the account nodes in different user group graphs can be connected with the same event node or the same type of node.

In one possible implementation, the electronic device can infer relationships between other account nodes based on known relationships between account nodes in the relationship graph. The electronic equipment determines a third relation connecting line between the second account node and a third account node according to a first relation connecting line between the first account node and the second account node and a second relation connecting line between the first account node and the third account node by taking the first account node as a medium; and connecting the second account node with a third account node through a third relation connecting line. The embodiment of determining the relationship between the second account node and the third account node is similar to the embodiment of determining the account relationship between the fourth account and the fifth account in step 205.

In one possible implementation, the electronic device applies the relationship graph to the account recommendations after constructing the relationship graph. The electronic equipment determines any two account nodes connected with the same node according to the relationship graph, wherein the same node comprises any one of the account nodes, the event nodes or the type nodes, and the two account nodes are not connected; and recommending an account corresponding to the other account node to an account corresponding to one account node in any two account nodes.

In another possible implementation manner, after the relationship graph is constructed, the electronic device can also apply the relationship graph to a live recommendation scene. If the user frequently watches the live broadcast of a certain anchor, other anchors belonging to the same type as the anchor can be obtained according to the relation map, so that the other anchors are recommended to the user.

In another possible implementation, after the electronic device constructs the relationship graph, the electronic device can also apply the relationship graph to an account search scenario. Taking the example that the first user searches for other accounts based on the first account, when searching for the sixth account based on the first account, the first user can acquire other accounts belonging to the same type as the sixth account or other accounts of participants belonging to the same event as the sixth account according to the relationship map, so that when displaying the search result, not only the sixth account but also other accounts which may be interested can be displayed.

In another possible implementation manner, after the relationship graph is constructed, the electronic device can also apply the relationship graph to a variety of scenes such as public opinion analysis, financial risk control and the like.

In addition, in a possible implementation manner, if a new account or new event information exists in the platform, a new account node or an event node is added in the constructed relationship graph, the new account node or the event node is connected with other nodes, and the relationship graph is continuously supplemented.

According to the method provided by the embodiment of the disclosure, the relation graph is constructed according to the obtained social relation information, and because the social relation information can accurately represent the type of the relation between the accounts, the type of the relation between the accounts can also be accurately represented in the constructed relation graph. The social relation information comprises information of multiple dimensions, the obtained relation graph is also a multi-dimensional relation graph, and the information amount of the relation graph is further increased.

And when account recommendation is carried out on the subsequent application relationship maps, the relationship maps can provide more information about the accounts, so that the interpretability of application results is improved, and other accounts related to the same event can be recommended for the accounts or accounts belonging to the same type can be recommended for the accounts according to the relationship between the accounts and the events or the types of the accounts, so that the recommendation accuracy is improved.

Fig. 10 is a block diagram illustrating an apparatus for obtaining social association information according to an example embodiment. Referring to fig. 10, the apparatus includes:

an association information generating unit 1001 configured to perform generation of social association information based on account relationships in the platform, where the social association information includes a plurality of accounts in the platform and account relationships between any two accounts in the plurality of accounts;

an event information obtaining unit 1002 configured to perform obtaining event information, adding event information to the social association information, the event information including a target event associated with at least one of the plurality of accounts;

a type obtaining unit 1003 configured to perform obtaining a type to which each account of the plurality of accounts belongs, and add the type to which each account belongs in the social association information.

According to the device provided by the embodiment of the disclosure, the generated social association information comprises the account relationship between any two accounts in the plurality of accounts, and the social association information can accurately represent the relationship between the accounts, so that the type of the association relationship between the accounts can be accurately determined. And the type of the event information or the account belongs to can be added into the social association information, so that the social association information comprises different dimensions, and the information amount in the social association information is increased.

In one possible implementation, referring to fig. 11, the obtaining apparatus further includes:

a dynamic information obtaining unit 1004 configured to perform obtaining dynamic information issued by a first account, the first account being any one of a plurality of accounts, wherein the dynamic information includes at least account information associated with the first account;

an extracting unit 1005 configured to perform extracting a second account and a relationship keyword from the dynamic information, the relationship keyword being used to represent an account relationship between the first account and the second account, the second account being any one of the plurality of accounts different from the first account;

a relationship determination unit 1006 configured to perform a determination of the account relationship represented by the relationship keyword as a first account relationship between the first account and the second account.

In another possible implementation, referring to fig. 11, the dynamic information further includes a preset symbol indicating that information subsequent to the preset symbol belongs to an account, and the extracting unit 1005 is configured to perform the step of regarding the information subsequent to the preset symbol in the dynamic information as the second account.

In another possible implementation manner, referring to fig. 11, the extracting unit 1005 is configured to perform a matching process on the set at least one relationship keyword and the dynamic information, so as to obtain the relationship keyword included in the dynamic information.

In another possible implementation manner, referring to fig. 11, the obtaining apparatus further includes:

a character acquisition unit 1007 configured to perform acquisition of common characters contained in a plurality of accounts having a target account relationship in a platform;

an account acquisition unit 1008 configured to perform acquisition of another account containing the common character, the other account being any account in the platform;

the relationship determination unit 1006 is further configured to perform determining a relationship between another account and each of the plurality of accounts having the target account relationship as the target account relationship.

In another possible implementation, referring to fig. 11, the character obtaining unit 1007 is configured to perform:

selecting a preset number of accounts from the plurality of accounts with the target account relationship in the order of the attention number of the plurality of accounts with the target account relationship;

the same characters contained in a preset number of accounts are determined as common characters.

in response to the scale exceeding the reference scale, the candidate character is determined to be a common character.

the same characters contained in any two accounts in the multiple accounts are used as alternative characters to obtain multiple alternative characters;

the longest candidate character of the plurality of candidate characters is determined as a common character.

In another possible implementation, referring to fig. 11, the account obtaining unit 1008 is configured to perform determining another account that contains a common character and has no text before and after the common character, different from the plurality of accounts having the target account relationship.

a relationship obtaining unit 1009, configured to obtain a second account relationship between the third account and the fourth account in the platform and a third account relationship between the third account and the fifth account;

the relationship obtaining unit 1009 is further configured to perform obtaining a fourth account relationship corresponding to the second account relationship and the third account relationship in the relationship knowledge data;

the relationship determination unit 1006 is further configured to perform determining the fourth account relationship as an account relationship between the fourth account and the fifth account.

a recommending unit 1010 configured to perform determining any two accounts having an account relationship with the same account among the plurality of accounts, no account relationship exists between any two accounts;

the recommending unit 1010 is further configured to recommend one account of any two accounts to another account.

the map determining unit 1011 is configured to execute connecting account nodes corresponding to any two accounts through a relationship connecting line according to the account relationship between any two accounts in the plurality of accounts to obtain a user relationship map;

the graph determining unit 1011 is further configured to add an event node corresponding to the target event in the user relationship graph, and connect the event node with an account node corresponding to at least one account through an event connecting line to obtain an event relationship graph;

the graph determining unit 1011 is further configured to add a type node corresponding to the type in the user relationship graph, and connect the type node with an account node corresponding to at least one account belonging to the type through a type connection line, so as to obtain the type relationship graph.

a node determining unit 1012 configured to determine account nodes corresponding to a plurality of accounts, event nodes corresponding to target events, and type nodes corresponding to types according to the social association information;

the graph determining unit 1011 is further configured to perform connecting the determined plurality of account nodes, event nodes and type nodes through connecting lines to obtain a relationship graph, where the connecting lines between any two account nodes, between an account node and an event node and between an account node and a type node belong to connecting lines with different dimensions.

In another possible implementation, referring to fig. 11, the atlas determination unit 1011 is further configured to perform:

according to the account relationship between any two accounts in the multiple accounts, account nodes corresponding to any two accounts are connected through a relationship connecting line to obtain a relationship map, and the relationship connecting line represents the account relationship between any two accounts in the multiple accounts;

connecting at least one account node in the plurality of account nodes with the event node through an event connecting line to obtain a relationship graph;

and connecting the plurality of account nodes with the type nodes through type connecting lines to obtain the relationship map.

determining a third relation connecting line between the second account node and a third account node according to a first relation connecting line between the first account node and the second account node and a second relation connecting line between the first account node and the third account node;

and connecting the second account node with a third account node through a third relation connecting line.

In another possible implementation, the relationship graph includes at least one user group graph, the user group graph includes a plurality of account nodes, and the account nodes in different user group graphs are not connected.

the node creating unit 1013 is configured to perform creating a plurality of account nodes, event nodes, and type nodes in the relationship graph.

a recommending unit 1010 configured to determine any two account nodes connected with the same node according to the relationship graph, wherein the same node comprises any one of the account node, the event node or the type node, and no connection exists between any two account nodes;

the recommending unit 1010 is further configured to recommend an account corresponding to one account node of any two account nodes to an account corresponding to another account node.

With regard to the apparatus in the above-described embodiment, the specific manner in which each unit performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.

In an exemplary embodiment, an electronic device is provided that includes one or more processors, and volatile or non-volatile memory for storing instructions executable by the one or more processors; wherein the one or more processors are configured to execute the method for acquiring social association information in the above embodiments.

In one possible implementation, the electronic device is provided as a terminal. Fig. 12 is a block diagram illustrating a terminal 1200 according to an example embodiment. The terminal 1200 may be a portable mobile terminal such as: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer IV, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. Terminal 1200 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, and so forth.

In general, terminal 1200 includes: a processor 1201 and a memory 1202.

The processor 1201 may include one or more processing cores, such as a 4-core processor, an 8-core processor, or the like. The processor 1201 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 1201 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 1201 may be integrated with a GPU (Graphics Processing Unit) for rendering and drawing content required to be displayed by the display screen. In some embodiments, the processor 1201 may further include an AI (Artificial Intelligence) processor for processing a computing operation related to machine learning.

Memory 1202 may include one or more computer-readable storage media, which may be non-transitory. Memory 1202 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 1202 is used to store at least one program code for execution by the processor 1201 to implement the method of obtaining social-related information provided by the method embodiments of the present disclosure.

In some embodiments, the terminal 1200 may further optionally include: a peripheral interface 1203 and at least one peripheral. The processor 1201, memory 1202, and peripheral interface 1203 may be connected by a bus or signal line. Various peripheral devices may be connected to peripheral interface 1203 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 1204, display 1205, camera assembly 1206, audio circuitry 1207, positioning assembly 1208, and power supply 1209.

The peripheral interface 1203 may be used to connect at least one peripheral associated with I/O (Input/Output) to the processor 1201 and the memory 1202. In some embodiments, the processor 1201, memory 1202, and peripheral interface 1203 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1201, the memory 1202 and the peripheral device interface 1203 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

The Radio Frequency circuit 1204 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuit 1204 communicates with a communication network and other communication devices by electromagnetic signals. The radio frequency circuit 1204 converts an electric signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electric signal. Optionally, the radio frequency circuit 1204 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuit 1204 may communicate with other terminals through at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, generations of mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the radio frequency circuit 1204 may further include NFC (Near Field Communication) related circuits, which are not limited by this disclosure.

The display screen 1205 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 1205 is a touch display screen, the display screen 1205 also has the ability to acquire touch signals on or over the surface of the display screen 1205. The touch signal may be input to the processor 1201 as a control signal for processing. At this point, the display 1205 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 1205 may be one, disposed on a front panel of the terminal 1200; in other embodiments, the display 1205 can be at least two, respectively disposed on different surfaces of the terminal 1200 or in a folded design; in other embodiments, the display 1205 may be a flexible display disposed on a curved surface or on a folded surface of the terminal 1200. Even further, the display screen 1205 may be arranged in a non-rectangular irregular figure, i.e., a shaped screen. The Display panel 1205 can be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), or other materials.

Camera assembly 1206 is used to capture images or video. Optionally, camera assembly 1206 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 1206 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.

The audio circuitry 1207 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals into the processor 1201 for processing or inputting the electric signals into the radio frequency circuit 1204 to achieve voice communication. For stereo capture or noise reduction purposes, multiple microphones may be provided at different locations of terminal 1200. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 1201 or the radio frequency circuit 1204 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuitry 1207 may also include a headphone jack.

The positioning component 1208 is configured to locate a current geographic Location of the terminal 1200 to implement navigation or LBS (Location Based Service). The Positioning component 1208 can be a Positioning component based on the united states GPS (Global Positioning System), the chinese beidou System, the russian glonass Positioning System, or the european union galileo Positioning System.

The power supply 1209 is used to provide power to various components within the terminal 1200. The power source 1209 may be alternating current, direct current, disposable or rechargeable. When the power source 1209 includes a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, terminal 1200 also includes one or more sensors 1210. The one or more sensors 1210 include, but are not limited to: acceleration sensor 1211, gyro sensor 1212, pressure sensor 1213, fingerprint sensor 1214, optical sensor 1215, and proximity sensor 1216.

The acceleration sensor 1211 can detect magnitudes of accelerations on three coordinate axes of the coordinate system established with the terminal 1200. For example, the acceleration sensor 1211 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 1201 may control the display screen 1205 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 1211. The acceleration sensor 1211 may also be used for acquisition of motion data of a game or a user.

The gyro sensor 1212 may detect a body direction and a rotation angle of the terminal 1200, and the gyro sensor 1212 may collect a 3D motion of the user on the terminal 1200 in cooperation with the acceleration sensor 1211. The processor 1201 can implement the following functions according to the data collected by the gyro sensor 1212: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

Pressure sensors 1213 may be disposed on the side frames of terminal 1200 and/or underlying display 1205. When the pressure sensor 1213 is disposed on the side frame of the terminal 1200, the user's holding signal of the terminal 1200 can be detected, and the processor 1201 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 1213. When the pressure sensor 1213 is disposed at a lower layer of the display screen 1205, the processor 1201 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 1205. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.

The fingerprint sensor 1214 is used for collecting a fingerprint of the user, and the processor 1201 identifies the user according to the fingerprint collected by the fingerprint sensor 1214, or the fingerprint sensor 1214 identifies the user according to the collected fingerprint. When the user identity is identified as a trusted identity, the processor 1201 authorizes the user to perform relevant sensitive operations, including unlocking a screen, viewing encrypted information, downloading software, paying, changing settings, and the like. The fingerprint sensor 1214 may be disposed on the front, back, or side of the terminal 1200. When a physical button or vendor Logo is provided on the terminal 1200, the fingerprint sensor 1214 may be integrated with the physical button or vendor Logo.

The optical sensor 1215 is used to collect the ambient light intensity. In one embodiment, the processor 1201 may control the display brightness of the display 1205 according to the ambient light intensity collected by the optical sensor 1215. Specifically, when the ambient light intensity is high, the display luminance of the display panel 1205 is increased; when the ambient light intensity is low, the display brightness of the display panel 1205 is turned down. In another embodiment, processor 1201 may also dynamically adjust the camera head 1206 shooting parameters based on the ambient light intensity collected by optical sensor 1215.

A proximity sensor 1216, also known as a distance sensor, is typically disposed on the front panel of the terminal 1200. The proximity sensor 1216 is used to collect a distance between the user and the front surface of the terminal 1200. In one embodiment, when the proximity sensor 1216 detects that the distance between the user and the front surface of the terminal 1200 gradually decreases, the processor 1201 controls the display 1205 to switch from the bright screen state to the dark screen state; when the proximity sensor 1216 detects that the distance between the user and the front surface of the terminal 1200 gradually becomes larger, the processor 1201 controls the display 1205 to switch from the breath-screen state to the bright-screen state.

Those skilled in the art will appreciate that the configuration shown in fig. 12 is not intended to be limiting of terminal 1200 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

In another possible implementation, the electronic device is provided as a server. Fig. 13 is a block diagram of a server according to an exemplary embodiment, where the server 1300 may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 1301 and one or more memories 1302, where the memory 1302 stores at least one program code, and the at least one program code is loaded and executed by the processors 1301 to implement the methods provided by the above method embodiments. Of course, the server may also have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input/output, and the server may also include other components for implementing the functions of the device, which are not described herein again.

In an exemplary embodiment, a non-transitory computer readable storage medium is further provided, and when executed by a processor of an electronic device, instructions in the storage medium enable the electronic device to perform the steps performed by a terminal or a server in the above method for obtaining social association information. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

In an exemplary embodiment, a computer program product is further provided, and when instructions in the computer program product are executed by a processor of an electronic device, the electronic device is enabled to execute the steps executed by the terminal or the server in the method for acquiring social association information.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A method for acquiring social association information is characterized by comprising the following steps:

2. The method of claim 1, wherein before generating the social association information based on the account relationship in the platform, the method further comprises:

3. The method according to claim 2, wherein the dynamic information further includes a preset symbol, the preset symbol is used to indicate that information subsequent to the preset symbol belongs to an account, and the extracting a second account and a relationship keyword from the dynamic information includes:

4. The method of claim 1, wherein before generating the social association information based on the account relationship in the platform, the method further comprises:

5. The method of claim 1, wherein before generating the social association information based on the account relationship in the platform, the method further comprises:

6. The acquisition method according to claim 1, characterized in that the acquisition method further comprises:

7. The acquisition method according to claim 1, characterized in that the acquisition method further comprises:

8. An apparatus for acquiring social association information, the apparatus comprising:

9. An electronic device, characterized in that the electronic device comprises:

one or more processors;

wherein the one or more processors are configured to perform the method of obtaining social association information of any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, wherein instructions of the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the method of acquiring social association information as claimed in any one of claims 1 to 7.