CN112333085B

CN112333085B - Social method and electronic device

Info

Publication number: CN112333085B
Application number: CN202011194245.4A
Authority: CN
Inventors: 方舒; 张衡
Original assignee: Vivo Mobile Communication Co Ltd
Current assignee: Vivo Mobile Communication Co Ltd
Priority date: 2020-10-30
Filing date: 2020-10-30
Publication date: 2023-02-03
Anticipated expiration: 2040-10-30
Also published as: CN112333085A

Abstract

The application discloses a social contact method and electronic equipment, belongs to the technical field of electronics, and aims to solve the problem that a user cannot judge whether to agree with an addition application or not because the user cannot distinguish a person who adds the application. Wherein the method comprises the following steps: in a plurality of objects, aiming at any two objects, acquiring social relation information of one object remarking another object; representing two nodes by any two objects, representing a connecting line connecting the two nodes by the social relationship indicated by the social relationship information, and constructing one group of data; constructing the associated groups of data into a social graph; under the condition that a first target object sends an addition application to a second target object, determining social relationship information of the first target object according to a social graph comprising the first target object and the second target object; the plurality of objects includes the first target object and the second target object. The social method is applied to the electronic equipment.

Description

Social method and electronic device

Technical Field

The application belongs to the technical field of electronics, and particularly relates to a social method and electronic equipment.

Background

With the development of electronic technology, social applications are gradually increased, users can use the social applications every day, new contacts can be continuously added to the social applications, and meanwhile, the new contacts can be added by other people.

For any user, a large number of add applications are received every day in the social application. Some of these applications are sent by strangers, some by advertising merchants, and some by relatives and friends. In the prior art, a user cannot distinguish a person who applies for adding, so that the user is difficult to judge whether to approve the application for adding.

Therefore, in the process of implementing the present application, the inventors found that at least the following problems exist in the prior art: because the user cannot distinguish the person who adds the application, the user is difficult to judge whether to agree with the addition application.

Disclosure of Invention

The embodiment of the application aims to provide a social method, which can solve the problem that a user cannot distinguish a person who adds an application, so that the user can difficultly judge whether to agree with the application.

In order to solve the technical problem, the present application is implemented as follows:

in a first aspect, an embodiment of the present application provides a social method, where the method includes: in a plurality of objects, aiming at any two objects, acquiring social relationship information of one object remarking another object; representing two nodes by any two objects, representing a connecting line connecting the two nodes by the social relationship indicated by the social relationship information, and constructing one group of data; constructing the associated groups of data into a social graph; under the condition that a first target object sends an addition application to a second target object, determining social relationship information of the first target object according to a social graph comprising the first target object and the second target object; wherein the plurality of objects includes the first target object and the second target object.

In a second aspect, an embodiment of the present application provides a social device, including: the first social relationship information acquisition module is used for acquiring the social relationship information of one object remarking another object in a plurality of objects aiming at any two objects; the data group construction module is used for representing two nodes by using any two objects, representing a connecting line connecting the two nodes by using the social relationship indicated by the social relationship information, and constructing one group of data; the social graph building module is used for building the associated groups of data into a social graph; the social relationship information determining module is used for determining the social relationship information of a first target object according to a social graph comprising the first target object and a second target object under the condition that the first target object sends an addition application to the second target object; wherein the plurality of objects includes the first target object and the second target object.

In a third aspect, embodiments of the present application provide an electronic device, which includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor, where the program or instructions, when executed by the processor, implement the steps of the method according to the first aspect.

In a fourth aspect, embodiments of the present application provide a readable storage medium on which a program or instructions are stored, which when executed by a processor, implement the steps of the method according to the first aspect.

In a fifth aspect, embodiments of the present application provide a chip, where the chip includes a processor and a communication interface, where the communication interface is coupled to the processor, and the processor is configured to execute a program or instructions to implement the method according to the first aspect.

Thus, in the embodiment of the present application, in the social platform, a group of data sets may be constructed for any two objects, where social relationship information of one object remarked to the other object includes two nodes and a connection line connecting the nodes. The two nodes respectively represent any two objects, the connecting line represents the social relationship between the two objects, and the social relationship is derived from remarked social relationship information. Based on the construction method of the data group, a large number of data groups can be constructed aiming at a plurality of objects in the social platform, so that the related data groups are constructed into a social graph, and the social graph is composed of a large number of objects and corresponding social relations. When a first target object sends an addition application to a second target object in a social contact platform, a data group including at least one of the first target object and the second target object can be obtained based on a constructed social graph, so that a possible social contact between the first target object and the second target object is obtained, and then the social contact information of the first target object is determined according to the obtained social contact, wherein the social contact information is used for helping the second target object to identify the first target object of the addition application, so that a user can judge whether to agree with the addition application.

Drawings

FIG. 1 is one of the flow diagrams of a social method of an embodiment of the present application;

FIG. 2 is a second flowchart of a social method according to an embodiment of the present application;

FIG. 3 is a third flowchart of a social method of an embodiment of the present application;

FIG. 4 is a fourth flowchart of a social method of an embodiment of the present application;

FIG. 5 is one of the interface display diagrams of the social method of an embodiment of the present application;

FIG. 6 is a fifth flowchart of a social method of an embodiment of the present application;

FIG. 7 is a sixth flowchart of a social method of an embodiment of the present application;

FIG. 8 is a seventh flowchart of a social method of an embodiment of the present application;

FIG. 9 is an eighth flowchart of a social method of an embodiment of the present application;

FIG. 10 is a second schematic view of an interface display of a social method according to an embodiment of the present application;

FIG. 11 is a block diagram of a social device of an embodiment of the present application;

fig. 12 is a hardware configuration diagram of an electronic device according to an embodiment of the present application.

Fig. 13 is a second schematic diagram of a hardware structure of the electronic device according to the embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The terms first, second and the like in the description and in the claims of the present application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that embodiments of the application may be practiced in sequences other than those illustrated or described herein, and that the terms "first," "second," and the like are generally used herein in a generic sense and do not limit the number of terms, e.g., the first term can be one or more than one. In addition, "and/or" in the specification and claims means at least one of connected objects, a character "/" generally means that a preceding and succeeding related objects are in an "or" relationship.

The social method provided by the embodiment of the present application is described in detail below with reference to the accompanying drawings through specific embodiments and application scenarios thereof.

Fig. 1 shows a flow chart of a social method of an embodiment of the present application, including:

step S1: in the multiple objects, aiming at any two objects, the social relation information of one object remarking another object is obtained.

The embodiment is suitable for social platforms such as social applications and social programs. Correspondingly, the plurality of objects are objects in a social platform.

Wherein the corresponding object can be represented by a unique account number in the social platform.

Illustratively, the one object is defined as a first object, and the another object is defined as a second object.

In this step, the first object may log in to the social platform based on the unique account number, and notes may be made on the contact in the social platform. Wherein the contact of the first object comprises the second object, and therefore, the first object can annotate the social relationship information on the second object by inputting.

Wherein the social relationship information may indicate a social relationship.

Alternatively, the social relationship information of the notes may be friends, colleagues, etc. Correspondingly, the method is used for indicating that the relationship between the first object and the second object is friend, colleague and the like.

Alternatively, the social relationship information is in the form of a tag or the like.

Step S2: and representing two nodes by any two objects, representing a connecting line connecting the two nodes by the social relationship indicated by the social relationship information, and constructing one set of data.

Exemplarily, with a first object as a central node, in the case that the first object annotates social relationship information to a second object, three-tuple data (a, R, B) is constructed, where a and B respectively represent the first object to the second object, and R is a corresponding relationship of a and B, i.e. a social relationship indicated by the social relationship information.

And step S3: and constructing the associated multiple groups of data into a social graph.

In any ternary data, A and B are entity vectors respectively, R is a relation vector, namely, A notes B, A is a first entity vector, B is a tail entity vector, and R represents the social relation of the notes A.

For example, in the case of a first object annotating a second object, a set of data sets may be constructed based on the annotated social relationship information; in the case where the second object annotates the first object, another set of data sets may be constructed based on the annotated social relationship information.

Further, after the triple data is constructed, model training may be performed on the triple data. The process of model training is as follows: initializing an entity vector and a relation vector, acquiring a corresponding expression vector from the initialized vector for each training triple data, and continuously adjusting the entity vector and the relation vector by calculating a loss function.

And further, entity prediction is carried out on the triple data with missing head or tail entities, for each tested triple data, all entities in other triple data are used for replacing the head or tail entities, and the entities are sorted in a descending order to obtain the highest-ranked entity which is used as a predicted entity.

And further, carrying out relation prediction on the triple data with missing relation vectors, replacing all relation vectors in other triple data for each tested triple data, and carrying out descending sorting on all relation vectors to obtain all relation vectors with the highest sorting as a prediction relation.

Therefore, based on the directly constructed triple data and the triple data predicted by calculation, a large amount of triple data can be constructed.

Further, in the large amount of triple data, associated triple data are connected together to form a social graph comprising a plurality of data groups.

For example, in the social graph, a plurality of first data groups constructed from the contact list of the first object and a plurality of second data groups constructed from the contact list of the second object are included, and by constructing the data groups between the first object and the second object, connection relationships can be established between the plurality of first data groups and the plurality of second data groups.

Thus, in a social graph, a plurality of sub-social graphs are included. Illustratively, for a data set constructed from a contact list of a first object, a sub-social graph may be composed that centers around the first object.

Further, the social graph is periodically updated to add increments in the social graph, including relationship vectors inferred from the social graph, relationship vectors inferred from the user notes, relationship vectors automatically noted by adding contacts, entity vectors inferred from the social graph, entity vectors inferred by adding contacts, and so on. Thereby making the model of social graph more and more sophisticated and rich.

Therefore, firstly, the person entity and the attribute entity of the user information in the social platform and the relationship between the entity and the entity are utilized to construct the social graph of the user, and the social graph is persistently stored. The person entity is the object, and the attribute entity is the social relationship information.

And step S4: under the condition that the first target object sends the addition application to the second target object, determining the social relationship information of the first target object according to the social graph comprising the first target object and the second target object.

Wherein the plurality of objects includes a first target object and a second target object.

In step, the existing data of the social graph can be used as a sample, and the relevant model is trained on line so as to be used for deducing the social relationship between the new contact and the user.

Optionally, in a social graph including the first target object and the second target object, a data group including the first target object and a data group including the second target object are extracted, a group of data groups is constructed by the first target object and the second target object according to the extracted data groups, position relations in the social graph where the data groups are located, and the like, and the social relation between the first target object and the second target object in the data groups is obtained through calculation.

And calculating the social relationship of the second target object to the first target object under the condition that the first target object sends the addition application to the second target object. Further, the social relationship information of the second target object remarked to the first target object is determined according to the social relationship, so that the second target object can obtain the social relationship information of the first target object under the condition that the first target object sends an addition application to the second target object.

Optionally, the social relationship information of the first target object is carried in the add application.

Thus, in the embodiment of the application, in the social platform, a group of data sets can be constructed for any two objects, and the social relationship information of one object remarking to the other object, and the data sets include two nodes and a connecting line connecting the nodes. The two nodes respectively represent any two objects, the connecting line represents the social relationship between the two objects, and the social relationship is derived from remarked social relationship information. Based on the construction method of the data group, a large number of data groups can be constructed for a plurality of objects in the social platform, so that the associated data groups are constructed into a social graph, and the social graph is composed of a large number of objects and corresponding social relations. When a first target object sends an addition application to a second target object in a social contact platform, a data group including at least one of the first target object and the second target object can be obtained based on a constructed social graph, so that a possible social contact between the first target object and the second target object is obtained, and then social contact information of the first target object is determined according to the obtained social contact, wherein the social contact information is used for helping the second target object to identify the first target object of the addition application, so that a user can judge whether to agree with the addition application.

On the basis of the embodiment shown in fig. 1, fig. 2 shows a flowchart of a social method according to another embodiment of the present application, and step S4 includes:

step S401: under the recommendation of a third target object, when the first target object sends an addition application to the second target object, in the social graph, a data group comprising the third target object and the first target object and a data group comprising the third target object and the second target object are respectively obtained.

Wherein the plurality of objects includes a third target object.

Under the recommendation of the third target object, under the condition that the first target object sends the addition application to the second target object, the contact list of the third target object comprises the first target object and the second target object. Therefore, in the social graph, a sub-social graph centering on the third target object may be obtained, and a data group including the third target object and the first target object, and a data group including the third target object and the second target object may be further obtained. The acquired data set comprises social relation information of a third target object remarked to the first target object and social relation information of the third target object remarked to the second target object.

Meanwhile, under the recommendation of the third target object, under the condition that the first target object sends an addition application to the second target object, the contact list of the second target object comprises the third target object. Therefore, in the social graph, a sub-social graph with the second target object as a central node may be obtained, and a data group including a third target object and the second target object may be further obtained. And the acquired data set comprises social relationship information of the second target object remarking the third target object.

Step S402: and acquiring a first social relationship with the maximum probability in the social relationships between the first target object and the second target object according to the acquired data group.

In this step, a data group may be constructed with a first target object and a second target object as nodes, where the second target object is a first entity in the data group, and the first target object is a last entity in the data group. And then, by utilizing the social relationship in the data group obtained in the step, combining with the sub-social graph model taking the third target object as the central node, and automatically reasoning the social relationship for the first target object through the sub-social graph model taking the second target object as the central node.

For example, in the sub-social graph with the third target object as the central node, the first target object is a co-worker of the third target object, and in the sub-social graph with the second target object as the central node, the third target object is a co-worker of the second target object, so that through calculation, the probability that the first target object is the co-worker of the second target object is higher.

Step S403: and determining that the first social relationship information is the social relationship information of the first target object.

Wherein the first social relationship information is used to indicate a first social relationship.

In this embodiment, using a social graph, one can derive: the social relationship between the third target object, which is the recommender, and the recipient user (the second target object) already exists in the social graph network of the recipient user, so that when the social relationship between the recommender and the recommended person (the first target object) is known, the social relationship between the recipient user and the new contact can be deduced by using the social graph model. Therefore, the social relationship information used for indicating the social relationship is determined, and the social relationship information is used for helping the user to distinguish the first target object of the addition application under the condition that the first target object sends the addition application to the second target object, so that the user can judge whether to agree to the addition application.

Based on the embodiment shown in fig. 1, fig. 3 shows a flowchart of a social method according to another embodiment of the present application, and the group members of the target group include a first target object and a second target object.

And step S4, comprising:

step S404: in the case that a first target object sends an addition application to a second target object, in a social graph, a data group including a target group and the second target object, and a data group including group members and the second target object are acquired.

Wherein the plurality of objects further comprises a target population.

In this embodiment, a case where a first target object transmits an addition request to a second target object by a group addition method will be described.

Optionally, in the sub-social graph with the second target object as a central node, a data set including the group members of the target group and the second target object is obtained.

In one case, the target group is taken as one object, and social relationship information such as a company, a family, and the like is manually or automatically remarked, so that a data set including the target group and a second target object can be acquired.

In another case, the group members in the target group already exist in the contact list of the second target object, and the social relationship information is noted automatically or manually, so that the data set including the second target object and the group members can be obtained.

Optionally, a step of determining whether the target group is annotated with social relationship information may be added, if yes, step S405 is executed, and if no, step S406 is executed.

Step S405: and determining that the second social relationship information is the social relationship information of the first target object under the condition that the second target object notes the second social relationship information for the target group in the acquired data set.

In the first case, the target group is annotated with second social relationship information, such as "XXXX team", which is a collection of social relationship information of group members, so that the second social relationship information can be used directly as social relationship information of the new contact (first target object).

Step S406: and in the acquired data set, under the condition that the second target object notes at least one piece of social relationship information for the group members of the target group, determining the third social relationship information with the largest number of notes as the social relationship information of the first target object.

In the second case, it is counted how many group members exist in the contact list of the second target object, if the value is greater than 0, then the social relationship information corresponding to each group member existing in the contact list is counted, and finally the social relationship information with the largest number of occurrences, that is, the third social relationship information is used as the social relationship information of the new contact (the first target object), with the number as the dimension in descending order.

In this embodiment, using a social graph, one can derive: the social relationship between the recipient user and the target group, and between the recipient user and the added group members in the target group, the social relationship between the recipient user and the non-added group members in the target group may be deduced using a social graph model. Therefore, the social relationship information used for indicating the social relationship is determined, and the social relationship information is used for helping the user to identify the first target object of the addition application under the condition that the first target object sends the addition application to the second target object, so that the user can judge whether to agree with the addition application.

On the basis of the embodiment shown in fig. 1, fig. 4 shows a flowchart of a social method according to another embodiment of the present application, and after step S3, the method further includes:

step S5: in the case where the fourth target object recommends the sixth target object to the fifth target object, in the social graph, a data group including the fourth target object and the fifth target object, and a data group including the fourth target object and the sixth target object are acquired, respectively.

Wherein the plurality of objects includes a fourth target object, a fifth target object, and a sixth target object.

And in the case that the fourth target object recommends the sixth target object to the fifth target object, the contact list of the fourth target object comprises the fifth target object and the sixth target object. Therefore, in the social graph, a sub-social graph centering on the fourth target object may be obtained, and a data group including the fourth target object and the fifth target object, and a data group including the fourth target object and the sixth target object may be further obtained. The acquired data set comprises social relation information of a fourth target object remarked to a fifth target object and social relation information of the fourth target object remarked to a sixth target object.

Meanwhile, in the case that the sixth target object is recommended from the fourth target object to the fifth target object, the fourth target object is included in the contact list of the fifth target object. Therefore, in the social graph, a sub-social graph centering on the fifth target object may be obtained, and a data group including the fourth target object and the fifth target object may be further obtained. And the acquired data set comprises social relationship information of the fifth target object remarking the fourth target object.

Step S6: and acquiring a fourth social relationship with the highest probability in the social relationships between the fifth target object and the sixth target object according to the acquired data group.

In this step, a data group may be constructed with a fifth target object and a sixth target object as nodes, where the fifth target object is a first entity in the data group, and the sixth target object is a last entity in the data group. And then, by utilizing the social relationship in the data group obtained in the step, combining with the sub-social graph model taking the fourth target object as the central node, and automatically reasoning the social relationship for the sixth target object through the sub-social graph model taking the fifth target object as the central node.

Illustratively, in the sub-social graph with the fourth target object as the center node, the sixth target object is a co-worker of the fourth target object, and in the sub-social graph with the fifth target object as the center node, the fourth target object is a co-worker of the fifth target object, so that through calculation, the probability that the sixth target object is the co-worker of the fifth target object is higher.

Step S7: and acquiring a recommended object which has a fourth social relationship with the fifth target object in the sub-social graph with the fourth target object as a central node.

In this step, the potential entities are predicted using the social graph model. Specifically, a data group including a fifth target object and a fourth social relationship is constructed, wherein the fifth target object is a head entity, and a tail entity is calculated by using a social graph model and serves as a recommendation object.

And the tail entity is a contact in the contact list of the fourth target object.

Step S8: and recommending a sixth target object and a recommended object to the fifth target object by the fourth target object.

In the sub-social graph with the fourth target object as the center node, the sixth target object is a co-worker of the fourth target object, and in the sub-social graph with the fifth target object as the center node, the fourth target object is a co-worker of the fifth target object, so that through calculation, the probability that the sixth target object is the co-worker of the fifth target object is higher. Further, in the contact list of the fourth target object, the contacts of the colleagues which are determined to be possible to be the fifth target object are recommended to be the fifth target object together.

Referring to fig. 5, for example, in the case of recommending a User (User) 1, the User of the present apparatus may recommend User 2 and User 3 together based on the algorithm of the present embodiment.

In this embodiment, when a user (a fourth target object) recommends a friend (a sixth target object) to another user (a fifth target object), based on a social relationship that may exist between the recommended friend and another user, contacts that may potentially exist may also be mined and recommended to another user together in the contact list of the user, so that the social circle of another user may be expanded. Therefore, the embodiment can increase user interaction, improve trust feeling and improve intelligent management of a plurality of users on the contact.

On the basis of the embodiment shown in fig. 4, fig. 6 shows a flowchart of a social method according to another embodiment of the present application, and step S7 includes:

step S701: and in the sub-social graph taking the fourth target object as a central node, calculating confidence scores when a fourth social relationship exists between the plurality of target objects and the fifth target object respectively.

Wherein the plurality of objects includes a plurality of target objects.

And the plurality of target objects are respectively connected with the fourth target object.

After a data set comprising a fifth target object and a fourth social relationship is constructed, the fifth target object is used as a head entity, contacts in a contact list of the fourth target object are sequentially used as tail entities, and a confidence score obtained correspondingly is calculated.

Step S702: and determining the target object with the confidence coefficient score meeting the preset condition as a recommended object.

The preset conditions are as follows: the confidence score is greater than a threshold.

And if the obtained confidence scores do not meet the preset conditions, recommending only the selected contact, namely the sixth target object.

In the embodiment, the confidence score of the contact in the data group can be obtained through an algorithm in the social graph model, so that when the confidence score meets the preset condition, the default constructed data group is established, the corresponding contact is recommended, the social relationship between the recommended contact and the user who actually receives the recommendation is accurate, and the requirement of the user who actually receives the recommendation is met.

On the basis of the embodiment shown in fig. 6, fig. 7 shows a flowchart of a social method according to another embodiment of the present application, and step S702 includes:

step S7021: and under the condition that the number of the target objects with the confidence scores meeting the preset conditions is larger than a first threshold, sequencing the target objects meeting the preset conditions according to the sequence of the confidence scores from large to small.

Step S7022: and determining the target object with the sequence number smaller than the second threshold value as a recommended object.

In this step, if the number of the target objects meeting the condition is more than the first threshold, the potential contacts with the highest confidence score values are taken and then recommended together with the selected contacts.

In this embodiment, the target objects meeting the preset condition may be sorted in the order of the confidence scores from large to small, and sequentially labeled according to "1 and 2 … …", and the target objects with the sequence numbers smaller than the second threshold are determined as the recommended objects.

Illustratively, if the number of the target objects with the confidence scores meeting the preset conditions is larger than k, the top k target objects with the maximum confidence scores are taken and recommended together with the selected contact person.

Alternatively, there may be a relationship between the first threshold and the second threshold such that when the number of persons is greater than the first threshold, only the number of persons of the first threshold is taken.

Step S7023: and under the condition that the number of the target objects with the confidence scores meeting the preset conditions is less than or equal to a first threshold, determining the target objects with the confidence scores meeting the preset conditions as recommended objects.

Optionally, if the number of target objects with confidence scores meeting the preset condition is less than k or equal to k, recommending all potential contacts meeting the condition together with the selected contact.

In this embodiment, a suitable number of target objects can be selected as recommended objects from the eligible target objects, so as to avoid inaccurate recommendation caused by too many people and the influence on the selection of the user actually receiving the recommendation.

On the basis of the embodiment shown in fig. 4, fig. 8 shows a flowchart of a social method according to another embodiment of the present application, and after step S7, the method further includes:

step S9: and acquiring fifth social relationship information of the fourth target object remarking the sixth target object, and acquiring sixth social relationship information of the fourth target object remarking the recommended object.

Correspondingly, step S8 comprises:

step S801: and the fourth target object carries the fifth social relation information and the sixth social relation information, and the sixth target object and the recommended object are recommended to the fifth target object.

In this embodiment, the data group including the sixth target object and the fourth target object and the data group including the recommendation object and the fourth target object may be found in the sub-social graph centering on the fourth target object, so that the fifth social relationship information and the sixth social relationship information are determined based on the social relationships in the data groups.

Referring to fig. 5, for example, when User 1, user 2, and User 3 are recommended, social relationship information of "colleague" is remarked after the User name.

In this embodiment, when recommending a friend (a sixth target object) to another user (a fifth target object), a user (a fourth target object) wants the other user to add a recommended friend, so that a recommendation reason needs to be provided.

On the basis of the embodiment shown in fig. 1, fig. 9 shows a flowchart of a social method according to another embodiment of the present application, and after step S4, the method further includes:

step S10: and under the condition that the second target object agrees to add the application, the first target object is remarked with the social relationship information.

In one scenario, the social relationship information can be embodied in the adding application, so that the user at the receiving party can add the social relationship information according to the social relationship information, and the social relationship information is automatically remarked to the first target object after the adding is agreed. Therefore, the social relationship of the new contact is displayed for the user, the trust sense of the user on the new contact is improved, and meanwhile, the user can judge whether to agree to add the contact and give related authority according to the social relationship.

In another scenario, the social relationship information may not be embodied in the addition application, and after the addition is agreed, the social relationship information is automatically remarked to the first target object. Therefore, the privacy of the user can be protected, the social relationship between the user and the contact is not exposed forcibly, and the social relationship between the user and the contact is automatically remarked when the user agrees.

Referring to fig. 10, illustratively, "family" is automatically remarked to "kindergarten".

In this embodiment, after the user agrees to add a friend, social relationship information may be automatically remarked for the new contact. On the first hand, the intelligent management of the contact person list is facilitated for the user, the user can open the authority for partial contact persons, and the like, so that the privacy of the user is protected, and meanwhile, the right can be given to the contact persons; in the second aspect, the social relationship information is automatically added to each contact person, so that the user does not know the social relationship between the contact person and the user due to the fact that the time span is increased, the user operation is simplified, and the management cost of the contact person is reduced; in a third aspect, the traffic graph is continuously updated with the addition of new contacts, meanwhile, a data group between the new contacts and the user is constructed, potential social relations between the new contacts and other contacts are inferred, and the social graph is continuously perfected.

In more embodiments, when the user receives a message for adding a friend application, the source of a new contact is displayed after the message is clicked, so that the fact that the new contact belongs to group addition, account search addition, recommendation addition and the like is judged, and the social relationship information of the new contact is further determined according to an addition path.

In further embodiments, the social relationship information of the new contact may also be manually added after the user agrees to add the application.

In the application scenario, if the new contact is added through searching and no related data group exists in the social graph, the user manually adds the social relationship information of the new contact.

In another example of the application scenario, if a new contact is added through a group, all group members are not in the contact list of the user, and no related data group exists in the social graph, the user manually adds the social relationship information of the new contact.

In summary, the present application aims to provide an intelligent and accurate method to help a user add a social tag to a newly added contact, so that the contact in a social platform can be managed more intelligently. The social label can be added to the new contact by the user, so that the user does not need to add the social label manually, the trust sense of the user on the source of the new contact is improved, the user can give different authorities according to the social label, and the privacy of the user is effectively protected. In addition, related basis can be further provided for the user to recommend the existing contact persons to other contact persons, so that the recommended persons can know the source of the recommended persons, the addition and management are convenient, other contact persons with the same social relation can be automatically mined and recommended to other contact persons, potential social relation contact persons can be mined, and the social circle is expanded.

In more embodiments, the method and the system can effectively connect a plurality of social platforms to form a cross-platform network, so that a rich and accurate social graph can be formed. Furthermore, a good interactive interface, an optimization algorithm and the like can be designed based on the social method in the application, so that the purposes of improving the accurate inference of the social relationship, improving the user experience and strictly protecting the user privacy are achieved.

It should be noted that, in the social method provided in the embodiment of the present application, the execution subject may be a social device, or a control module in the social device for executing the social method. In the embodiment of the present application, a social method executed by a social device is taken as an example, and the device of the social method provided in the embodiment of the present application is described.

Fig. 11 shows a block diagram of a social device according to another embodiment of the present application, including:

a first social relationship information obtaining module 10, configured to obtain, in a plurality of objects, social relationship information that one object notes another object with respect to any two objects;

a data group construction module 20, configured to represent two nodes by any two objects, represent a connection line connecting the two nodes by a social relationship indicated by the social relationship information, and construct one group of data;

a social graph building module 30, configured to build the associated sets of data into a social graph;

the social relationship information determining module 40 is configured to determine, when the first target object sends the addition request to the second target object, social relationship information of the first target object according to a social graph including the first target object and the second target object;

Thus, in the embodiment of the application, in the social platform, a group of data sets can be constructed for any two objects, and the social relationship information of one object remarking to the other object, and the data sets include two nodes and a connecting line connecting the nodes. The two nodes respectively represent any two objects, the connecting line represents the social relationship between the two objects, and the social relationship is derived from remarked social relationship information. Based on the construction method of the data group, a large number of data groups can be constructed for a plurality of objects in the social platform, so that the associated data groups are constructed into a social graph, and the social graph is composed of a large number of objects and corresponding social relations. When a first target object sends an addition application to a second target object in a social contact platform, a data group including at least one of the first target object and the second target object can be obtained based on a constructed social graph, so that a possible social contact between the first target object and the second target object is obtained, and then the social contact information of the first target object is determined according to the obtained social contact, wherein the social contact information is used for helping the second target object to identify the first target object of the addition application, so that a user can judge whether to agree with the addition application.

Optionally, the social relationship information determining module 40 includes:

the first acquisition unit is used for respectively acquiring a data group comprising the third target object and the first target object and a data group comprising the third target object and the second target object in a social graph under the condition that the first target object sends an addition application to the second target object under the recommendation of the third target object;

the first obtaining unit is used for obtaining a first social relationship with the highest probability in social relationships between the first target object and the second target object according to the obtained data set;

the first determining unit is used for determining that the first social relationship information is social relationship information of the first target object;

wherein the first social relationship information is used to indicate a first social relationship; the plurality of objects includes a third target object.

Optionally, the group members of the target population include a first target object and a second target object;

a social relationship information determination module 40, comprising:

the second acquisition unit is used for acquiring a data set comprising a target group and a second target object and a data set comprising group members and the second target object in a social graph under the condition that the first target object sends an addition application to the second target object;

the second determining unit is used for determining that the second social relationship information is the social relationship information of the first target object under the condition that the second target object notes the second social relationship information aiming at the target group in the acquired data set;

the third determining unit is used for determining that the third social relationship information with the largest remark times is the social relationship information of the first target object under the condition that the second target object remarks at least one piece of social relationship information for the group members of the target group in the acquired data set;

wherein the plurality of objects further comprises a target population.

Optionally, the apparatus further comprises:

the data acquisition module is used for respectively acquiring data groups comprising the fourth target object and the fifth target object and data groups comprising the fourth target object and the sixth target object in the social graph under the condition that the sixth target object is recommended from the fourth target object to the fifth target object;

the social relationship obtaining module is used for obtaining a fourth social relationship with the highest probability in the social relationships between the fifth target object and the sixth target object according to the obtained data group;

the recommended object obtaining module is used for obtaining a recommended object which has a fourth social relationship with the fifth target object in a sub-social graph with the fourth target object as a center node;

the recommending module is used for recommending a sixth target object and a recommended object from the fourth target object to the fifth target object;

Optionally, the apparatus further comprises:

the second social relation information acquisition module is used for acquiring fifth social relation information of a fourth target object remarked to a sixth target object and acquiring sixth social relation information of the fourth target object remarked to the recommended object;

a recommendation module comprising:

and the social relationship recommending unit is used for recommending a sixth target object and a recommended object to the fifth target object by the fourth target object carrying the fifth social relationship information and the sixth social relationship information.

The social device in the embodiment of the present application may be a device, and may also be a component, an integrated circuit, or a chip in a terminal. The device can be mobile electronic equipment or non-mobile electronic equipment. By way of example, the mobile electronic device may be a mobile phone, a tablet computer, a notebook computer, a palm top computer, a vehicle-mounted electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook or a Personal Digital Assistant (PDA), and the like, and the non-mobile electronic device may be a server, a Network Attached Storage (NAS), a Personal Computer (PC), a Television (TV), a teller machine or a self-service machine, and the like, and the embodiment of the present application is not particularly limited.

The social device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android (Android) operating system, an ios operating system, or other possible operating systems, and embodiments of the present application are not limited specifically.

The social device provided in the embodiment of the present application can implement each process implemented by the method embodiments in fig. 1 to fig. 10, and is not described here again to avoid repetition.

Optionally, as shown in fig. 12, an electronic device 100 is further provided in an embodiment of the present application, and includes a processor 101, a memory 102, and a program or an instruction stored in the memory 102 and executable on the processor 101, where the program or the instruction implements the processes of the social method embodiment when executed by the processor 101, and can achieve the same technical effect, and details are not repeated here to avoid repetition.

It should be noted that the electronic device in the embodiment of the present application includes the mobile electronic device and the non-mobile electronic device described above.

Fig. 13 is a schematic hardware structure diagram of an electronic device implementing an embodiment of the present application.

The electronic device 1000 includes, but is not limited to: a radio frequency unit 1001, a network module 1002, an audio output unit 1003, an input unit 1004, a sensor 1005, a display unit 1006, a user input unit 1007, an interface unit 1008, a memory 1009, and a processor 1010.

Those skilled in the art will appreciate that the electronic device 1000 may further comprise a power source (e.g., a battery) for supplying power to various components, and the power source may be logically connected to the processor 1010 through a power management system, so as to implement functions of managing charging, discharging, and power consumption through the power management system. The electronic device structure shown in fig. 13 does not constitute a limitation of the electronic device, and the electronic device may include more or less components than those shown, or combine some components, or arrange different components, and thus, the description is omitted here.

The processor 1010 is configured to obtain, in a plurality of objects, social relationship information that one object notes another object for any two objects; representing two nodes by any two objects, representing a connecting line connecting the two nodes by the social relationship indicated by the social relationship information, and constructing one group of data; constructing the associated groups of data into a social graph; under the condition that a first target object sends an addition application to a second target object, determining social relationship information of the first target object according to a social graph comprising the first target object and the second target object; the plurality of objects includes the first target object and the second target object.

Optionally, the processor 1010 is further configured to, when a first target object sends an addition application to a second target object under recommendation of a third target object, respectively acquire, in the social graph, a data group including the third target object and the first target object, and a data group including the third target object and the second target object; according to the obtained data group, obtaining a first social relationship with the maximum probability in social relationships between the first target object and the second target object; determining that the first social relationship information is social relationship information of the first target object; wherein the first social relationship information is used to indicate the first social relationship; the plurality of objects includes the third target object.

Optionally, the group members of the target population include the first target object and the second target object; the processor 1010 is further configured to, in a case that a first target object sends an addition request to a second target object, obtain, in the social graph, a data group including the target group and the second target object, and a data group including group members and the second target object; in the acquired data set, determining that the second social relationship information is the social relationship information of the first target object under the condition that the second target object notes the second social relationship information for the target group; in the acquired data set, determining that third social relationship information with the most remarks is social relationship information of the first target object when the second target object remarks at least one piece of social relationship information for the group members of the target group; wherein the plurality of subjects further comprises the target population.

Optionally, the processor 1010 is further configured to, in a case that a fourth target object recommends a sixth target object to a fifth target object, respectively acquire, in the social graph, a data group including the fourth target object and the fifth target object, and a data group including the fourth target object and the sixth target object; according to the obtained data group, obtaining a fourth social relationship with the maximum probability in the social relationships between the fifth target object and the sixth target object; in a sub-social graph with the fourth target object as a central node, acquiring a recommended object which is in the fourth social relation with the fifth target object; recommending, by the fourth target object, the sixth target object and the recommended object to the fifth target object; wherein the plurality of objects includes the fourth target object, the fifth target object, and the sixth target object.

Optionally, the processor 1010 is further configured to obtain fifth social relationship information of the fourth target object remarked to the sixth target object, and obtain sixth social relationship information of the fourth target object remarked to the recommended object; and the fourth target object carries the fifth social relationship information and the sixth social relationship information, and the sixth target object and the recommended object are recommended to the fifth target object.

The method aims to provide an intelligent and accurate method for helping a user add a social tag to a newly added contact person, so that the contact person in a social platform can be managed more intelligently. The social label can be added to the new contact by the user, so that the user does not need to add the social label manually, the trust sense of the user on the source of the new contact is improved, the user can give different authorities according to the social label, and the privacy of the user is effectively protected. In addition, related basis can be further provided for the user to recommend the existing contact persons to other contact persons, so that the recommended persons can know the source of the recommended persons, the addition and management are convenient, other contact persons with the same social relation can be automatically mined and recommended to other contact persons, potential social relation contact persons can be mined, and the social circle is expanded.

It should be understood that in the embodiment of the present application, the input Unit 1004 may include a Graphics Processing Unit (GPU) 10041 and a microphone 10042, and the Graphics Processing Unit 10041 processes image data of still pictures or videos obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode. The display unit 1006 may include a display panel 10061, and the display panel 10061 may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1007 includes a touch panel 10071 and other input devices 10072. The touch panel 10071 is also referred to as a touch screen. The touch panel 10071 may include two parts, a touch detection device and a touch controller. Other input devices 10072 may include, but are not limited to, a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which are not described in detail herein. The memory 1009 may be used to store software programs as well as various data, including but not limited to application programs and operating systems. Processor 1010 may integrate an application processor that handles primarily operating systems, user interfaces, applications, etc. and a modem processor that handles primarily wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 1010.

The embodiments of the present application further provide a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or the instruction is executed by a processor, the process of the social method embodiment is implemented, and the same technical effect can be achieved, and in order to avoid repetition, details are not repeated here.

The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and so on.

The embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to execute a program or an instruction to implement each process of the social method embodiment, and can achieve the same technical effect, and the details are not repeated here to avoid repetition.

It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as system-on-chip, system-on-chip or system-on-chip, etc.

It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element. Further, it should be noted that the scope of the methods and apparatus of the embodiments of the present application is not limited to performing the functions in the order illustrated or discussed, but may include performing the functions in a substantially simultaneous manner or in a reverse order based on the functions involved, e.g., the methods described may be performed in an order different than that described, and various steps may be added, omitted, or combined. In addition, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present application.

While the present embodiments have been described with reference to the accompanying drawings, it is to be understood that the invention is not limited to the precise embodiments described above, which are meant to be illustrative and not restrictive, and that various changes may be made therein by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims

1. A social method, the method comprising:

in a plurality of objects, aiming at any two objects, acquiring social relationship information of one object remarking another object;

representing two nodes by any two objects, representing a connecting line connecting the two nodes by the social relationship indicated by the social relationship information, and constructing one group of data;

constructing the associated groups of data into a social graph;

determining social relationship information of a first target object according to a social graph comprising the first target object and a second target object when the first target object sends an addition application to the second target object, wherein the social relationship information is used for helping a user to distinguish the first target object of the addition application when the first target object sends the addition application to the second target object, so that the user can judge whether to approve the addition application;

wherein the plurality of objects includes the first target object and the second target object.

2. The method according to claim 1, wherein in a case that a first target object sends an add application to a second target object, determining social relationship information of the first target object according to a social graph including the first target object and the second target object comprises:

under the condition that a first target object sends an addition application to a second target object under the recommendation of a third target object, respectively acquiring a data group comprising the third target object and the first target object and a data group comprising the third target object and the second target object in the social graph;

according to the obtained data group, obtaining a first social relationship with the maximum probability in social relationships between the first target object and the second target object;

determining that the first social relationship information is social relationship information of the first target object;

wherein the first social relationship information is used to indicate the first social relationship; the plurality of objects includes the third target object.

3. The method of claim 1, wherein the group members of the target population include the first target object and the second target object;

the determining, when a first target object sends an add application to a second target object, social relationship information of the first target object according to a social graph including the first target object and the second target object includes:

under the condition that a first target object sends an addition application to a second target object, acquiring a data group comprising the target group and the second target object and a data group comprising group members and the second target object in the social graph;

in the obtained data group, under the condition that the second target object notes second social relationship information for the target group, determining that the second social relationship information is the social relationship information of the first target object;

in the acquired data set, determining that third social relationship information with the most remarks is social relationship information of the first target object when the second target object remarks at least one piece of social relationship information for the group members of the target group;

wherein the plurality of subjects further comprises the target population.

4. The method of claim 1, wherein after constructing the associated sets of data into the social graph, further comprising:

in the case that a fourth target object recommends a sixth target object to a fifth target object, respectively acquiring a data set comprising the fourth target object and the fifth target object and a data set comprising the fourth target object and the sixth target object in the social graph;

according to the obtained data group, obtaining a fourth social relationship with the maximum probability in the social relationships between the fifth target object and the sixth target object;

acquiring a recommended object which is in the fourth social relationship with the fifth target object in a sub-social graph with the fourth target object as a central node;

recommending, by the fourth target object, the sixth target object and the recommended object to the fifth target object;

wherein the plurality of objects includes the fourth target object, the fifth target object, and the sixth target object.

5. The method according to claim 4, wherein after obtaining the recommended object for the fourth social relationship with the fifth target object in the sub-social graph with the fourth target object as the center node, further comprising:

acquiring fifth social relation information of the fourth target object remarked to the sixth target object and acquiring sixth social relation information of the fourth target object remarked to the recommended object;

the recommending, by the fourth target object, the sixth target object and the recommended object to the fifth target object includes:

and the fourth target object carries the fifth social relationship information and the sixth social relationship information, and the sixth target object and the recommended object are recommended to the fifth target object.

6. A social device, the device comprising:

the first social relationship information acquisition module is used for acquiring the social relationship information of one object remarking another object in a plurality of objects aiming at any two objects;

the data group construction module is used for representing two nodes by using any two objects, representing a connecting line connecting the two nodes by using the social relationship indicated by the social relationship information, and constructing one group of data;

the social graph building module is used for building the associated groups of data into a social graph;

the social relationship information determining module is used for determining the social relationship information of a first target object according to a social graph comprising the first target object and a second target object when the first target object sends an addition application to the second target object, and the social relationship information is used for helping a user to identify the first target object of the addition application when the first target object sends the addition application to the second target object, so that the user can judge whether to approve the addition application;

7. The apparatus of claim 6, wherein the social relationship information determining module comprises:

the first obtaining unit is used for obtaining a data group comprising a third target object and the first target object and a data group comprising the third target object and the second target object in the social graph respectively under the condition that the first target object sends an addition application to the second target object under the recommendation of the third target object;

the first determining unit is used for determining that the first social relationship information is the social relationship information of the first target object;

8. The apparatus of claim 6, wherein the group members of the target population comprise the first target object and the second target object;

the social relationship information determination module includes:

a second obtaining unit, configured to obtain, in the social graph, a data set including the target group and the second target object, and a data set including group members and the second target object, when a first target object sends an addition request to the second target object;

a second determining unit, configured to determine, in the obtained data set, that the second social relationship information is social relationship information of the first target object when the second target object notes second social relationship information for the target group;

a third determining unit, configured to determine, in the obtained data set, third social relationship information with a largest number of remarks as the social relationship information of the first target object when the second target object remarks at least one piece of social relationship information for the group members of the target group;

wherein the plurality of subjects further comprises the target population.

9. The apparatus of claim 6, further comprising:

the data acquisition module is used for respectively acquiring a data group comprising a fourth target object and a fifth target object and a data group comprising the fourth target object and the sixth target object in the social graph under the condition that the fourth target object recommends the sixth target object to the fifth target object;

a recommended object obtaining module, configured to obtain, in a sub-social graph with the fourth target object as a central node, a recommended object that is in the fourth social relationship with the fifth target object;

a recommending module, configured to recommend the sixth target object and the recommended object to the fifth target object by the fourth target object;

10. The apparatus of claim 9, further comprising:

the second social relationship information acquisition module is used for acquiring fifth social relationship information of the fourth target object remarked to the sixth target object and acquiring sixth social relationship information of the fourth target object remarked to the recommended object;

the recommendation module comprises:

and the social relationship recommending unit is configured to recommend the sixth target object and the recommended object to the fifth target object by using the fourth target object to carry the fifth social relationship information and the sixth social relationship information.

11. An electronic device comprising a processor, a memory, and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the social method of any one of claims 1-5.

12. A readable storage medium, on which a program or instructions are stored, which when executed by a processor, implement the steps of the social method according to any one of claims 1 to 5.