CN106789548B - Method for processing user relationship chain, method and device for realizing near-field social contact - Google Patents
Method for processing user relationship chain, method and device for realizing near-field social contact Download PDFInfo
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Abstract
The invention provides a method for processing a user relationship chain, which is executed by a server and comprises the following steps: the method comprises the steps of obtaining reported user identification and mobile equipment identification where the user identification logs in a social application, wherein the obtained user identification corresponds to more than one social application user; performing near field activity detection between specified social application users through the mobile equipment identification and the user identification to obtain action characteristics of the social application users in the near field activity; and updating the depth dimension of the user relation chain of the social application according to the action characteristics of the social application user in the near field activity. In addition, a method and a device for realizing near-field social interaction for processing the user relation chain matched with the method are also provided. The method for processing the user relationship chain, the near-field social implementation method and the near-field social implementation device can avoid the privacy security problem and are low in cost and expenditure.
Description
Technical Field
The invention relates to the technical field of internet application, in particular to a method for processing a user relationship chain, a method and a device for realizing near-field social contact.
Background
With the development of social applications, users increasingly use social applications in work and life to realize functions of chatting, sharing and the like with real users or virtual users. Thus, based on social applications, there are a variety of user relationship chains that are used to record social application users who have a friend relationship with each other.
The presentation of the user relationship chain of the social application is only two-dimensional, namely, a planar network presentation, so that a planar network map can be obtained, and the depth dimension in the user relationship chain, namely, the relationship degree between users of the social application, is difficult to obtain.
For example, the social application user a and the social application user B are real friend relationships or unseen friend relationships, and depth dimensions in these user relationship chains can be determined only by chat times, chat contents, sharing behaviors, and the like in the current social application.
Disclosure of Invention
Based on this, there is a need for a method and apparatus for handling a user relationship chain, which can avoid the generation of privacy security problem and has low cost and overhead.
In addition, it is necessary to provide a method and an apparatus for implementing near-field social contact, which can avoid the generation of privacy security problem and have low cost overhead.
In order to solve the technical problems, the following technical scheme is adopted:
a method of processing a user relationship chain, performed by a server, the method comprising:
the method comprises the steps of obtaining reported user identification and mobile equipment identification where the user identification logs in a social application, wherein the obtained user identification corresponds to more than one social application user;
performing near field activity detection between specified social application users through the mobile equipment identification and the user identification to obtain action characteristics of the social application users in the near field activity;
and updating the depth dimension of the user relation chain of the social application according to the action characteristics of the social application user in the near field activity.
A method for implementing near-field social interaction, the method comprising:
in the social application logged in by the first user identifier, triggering user designation by a user designation page of the near field activity to obtain other user identifiers performing the near field activity with the first social application user;
the method comprises the steps of obtaining a mobile equipment identifier where a first user identifier logs in a social application, and reporting the first user identifier, the mobile equipment identifier where a first social application user logs in and other specified user identifiers to a server;
triggering an association detection component to detect the action of the first social application user in near-field activities with other social application users in a near-field state, so as to feed back the action characteristics of the first social application user in the near-field activities to the server;
wherein the server is to be enabled to update a depth dimension of a chain of corresponding user relationships in the social application through the feedback.
An apparatus for processing a user relationship chain, disposed in a server, the apparatus comprising:
the identification acquisition module is used for acquiring the reported user identification and the identification of the mobile equipment where the user identification logs in the social application, and the acquired user identification corresponds to more than one social application user;
the characteristic acquisition module is used for detecting near field activities among appointed social application users through the mobile equipment identification and the user identification so as to obtain action characteristics of the social application users in the near field activities;
and the updating module is used for updating the depth dimension of the user relation chain of the social application according to the action characteristics of the social application user in the near field activity.
An apparatus for implementing near-field social networking, comprising:
the designated page response module is used for triggering user designation by a user designated page of the near field activity in the social application logged in by the first user identifier so as to obtain other user identifiers performing near field activity with the first social application user;
the first identification reporting module is used for acquiring the mobile equipment identification where the first user identification logs in the social application, and reporting the first user identification, the mobile equipment identification logged in by the first social application user and other specified user identifications to the server;
the first action detection module is used for triggering the association detection component to detect the action of the first social application user in the near-field activity with other social application users in a near-field state so as to feed back the action characteristics of the first social application user in the near-field activity to the server;
wherein the server is to be enabled to update a depth dimension of a chain of corresponding user relationships in the social application through the feedback.
According to the technical scheme, for the user relationship chain of the social application, the reported user identification and the mobile equipment identification where the user identification logs in the social application are obtained by the server, the obtained user identification corresponds to more than one social application user, near field activity detection is carried out between specified social application users through the mobile equipment identification and the user identification so as to obtain the action characteristics of the social application users in the near field activity, the depth dimension in the user relationship chain of the social application is updated according to the action characteristics of the social application users in the near field activity, so that the real relationship of each social application user in the near field activity is obtained, even the relationship degree of each social application user is obtained, the process does not relate to the chat times, the chat content, the sharing behavior and the like among the social application users, and the generation of privacy safety problems is effectively avoided, and for the server, the processing process is simple, powerful background dynamic computing and processor groups are not configured, and the cost and the expense are low.
Drawings
Fig. 1 is a schematic structural diagram of a server according to an embodiment of the present invention;
FIG. 2 is a flow diagram of a method for processing a user relationship chain in one embodiment;
fig. 3 is a flowchart of a method for acquiring the reported user identifier and the identifier of the mobile device where the user identifier logs in the social application in fig. 2;
FIG. 4 is a flowchart of a method for performing near field activity detection between specified social application users through a mobile device identifier and a user identifier in FIG. 2 to obtain action characteristics of the social application users in the near field activity;
FIG. 5 is a flowchart of a method for performing near field activity detection between specified social application users through a mobile device identifier and a user identifier to obtain action characteristics of the social application users in the near field activity in another embodiment;
FIG. 6 is a flowchart of the method of FIG. 2 for depth dimension updating of a social application user relationship chain based on the action characteristics of the social application user in near field activity;
FIG. 7 is a flow diagram that illustrates a method for near field social interaction in one embodiment;
FIG. 8 is a flow diagram of a method for near field social interaction in another embodiment;
FIG. 9 is a flowchart of a method for near field social interaction in another embodiment;
FIG. 10 is a flowchart of a method for near field social interaction in another embodiment;
FIG. 11 is a diagram illustrating an application scenario provided by an embodiment of the present invention;
FIG. 12 is a timing diagram of the depth dimension update to the user relationship chain of FIG. 11;
FIG. 13 is a schematic diagram of an apparatus for processing user relationship chains in one embodiment;
FIG. 14 is a block diagram of the tag acquisition module of FIG. 13;
FIG. 15 is a block diagram of a feature acquisition module of one embodiment of FIG. 13;
FIG. 16 is a schematic diagram of the structure of a feature acquisition module of the alternate embodiment of FIG. 13;
FIG. 17 is a block diagram of the update module of FIG. 13;
FIG. 18 is a schematic diagram of an apparatus for implementing near-field social networking in one embodiment;
FIG. 19 is a schematic diagram of an implementation apparatus of near-field social networking in another embodiment;
FIG. 20 is a schematic diagram of an apparatus for implementing near-field social interaction in another embodiment;
fig. 21 is a schematic diagram of an implementation apparatus of near-field social networking in another embodiment.
Detailed Description
Exemplary embodiments that embody features and advantages of the invention are described in detail below in the specification. It is to be understood that the invention is capable of other embodiments and that various changes in form and details may be made therein without departing from the scope of the invention and the description and drawings are to be regarded as illustrative in nature and not as restrictive.
As described above, for the user relationship chain of the social application, the relationship degree of two social application users chatting in the social application is mostly judged through the chat times, the chat content and the sharing behavior, but on one hand, the chat times, the chat content and the sharing behavior all belong to one-to-one privacy between the two social application users, and thus the obtained relationship degree will cause privacy security problem;
on the other hand, because a counter or a content filter is required to make a 'gate' to extract a certain keyword and reflect the degree of relationship between two social application users through the extracted keyword, the process still needs powerful background operation and a processor group even if the process is asynchronous.
Therefore, in order to avoid the generation of privacy security problems and the reduction of cost overhead, a method for processing a user relationship chain is particularly provided. The method for processing the user relationship chain is realized by a computer program, and correspondingly, the constructed device for processing the user relationship chain is stored in a server to run in the server so as to update the depth dimension of the user relationship chain.
Fig. 1 illustrates a structure of a server according to an embodiment of the present invention. The server 100 may have a large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 110 (e.g., one or more processors) and a memory 120, one or more storage media 130 (e.g., one or more mass storage devices) storing applications 131 or data 133. Memory 120 and storage medium 130 may be, among other things, transient or persistent storage. The program stored in the storage medium 130 may include one or more modules (not shown), each of which may include a series of instruction operations for the server 100. Still further, the central processor 110 may be configured to communicate with the storage medium 130 to execute a series of instruction operations in the storage medium 130 on the server 100. The server 100 may also include one or more power supplies 150, one or more wired or wireless network interfaces 170, one or more input-output interfaces 180, and/or one or more operating systems 135, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, and the like.
Furthermore, the present invention can be implemented by hardware circuitry or by a combination of hardware circuitry and software instructions, and thus, implementation of the present invention is not limited to any specific hardware circuitry, software, or combination of both.
In one embodiment, specifically, the method for processing the user relationship chain is executed by a server as shown in fig. 2, and includes:
and step 210, acquiring the reported user identification and the mobile equipment identification of the social application logged in by the user identification, wherein the acquired user identification corresponds to more than one social application user.
The server is a server that interacts with each mobile device running the social application to push various near-field activities to the mobile device, where the near-field activities pushed by the server may be determined according to actual operation needs, or may be initiated by the social application user through the server, which is not limited herein. The user identity is a unique identity used by any social application user to log into the social application in the mobile device, and is used for uniquely identifying the user identity in the social application.
The registered social application may be a chat application such as an instant messenger, various virtual social network applications, and various payment instruments having a conversation function, which are not limited to the above.
The mobile device identification is a hardware identification of the mobile device, e.g., a UIN code. The social application running in the mobile device acquires the user identifier and the mobile device identifier where the user identifier logs in the social application, and reports the user identifier and the mobile device identifier to the server.
It should be noted that the social application is logged in by a user of the social application who is designated to perform near field activities.
And step 230, performing near field activity detection between the designated social application users through the mobile device identification and the user identification to obtain action characteristics of the social application users in the near field activity.
According to the reported user identification and the mobile device identification, the server obtains the designated social application users of the near field activity and the mobile devices used by the designated social application users respectively, and when the designated social application users perform the near field activity, the server performs near field activity detection to obtain the action characteristics of the social application users in the near field activity.
The near field activity refers to the activity performed by each social application user in a near field state, and the near field state refers to that the geographic position of each social application user is located in the same geographic area or a similar geographic area.
It should be noted that the user identifier and the mobile device identifier reported by the mobile device to the server correspond to the social application user specified by the near field activity. The mobile device responds to the near-field activity pushed by the server to designate each social application user, and the server triggers the detection of the action characteristics when each social application user carries out the near-field activity. The obtained action features characterize actions performed by the corresponding social application user in near-field activities, for example, interaction actions with other social application users such as clapping.
Therefore, the social application users performing near-field activities may be friend users, but may also be social application users who do not have friend relationships with each other. For example, for any social application user, it may conduct near field activities with friends, or other social application users that are not in a friend relationship but are aware of the respective user identification.
And step 250, updating the depth dimension of the user relation chain of the social application according to the action characteristics of the social application user in the near-field activity.
According to the action characteristics of the social application users, the social application users who report the user identification and the mobile equipment identification enter the near field activity, and the interaction action exists in the near field activity, so that the relation among the social application users in the user relation chain of the social application is real friends and the near field activity is carried out, and the user relation chain is updated in a depth dimension mode according to the relation.
Through the process, the stored user relation chain is continuously subjected to depth dimension updating, and further the accumulation of relation depth data is continuously perfected, so that the stored user relation chain presents a three-dimensional network map, namely, the user relation chain is subjected to three-dimensional network display, the user relation chain stored for each social application user can accurately reflect the characteristics of the social application user and the real characteristics of other social application users, and the accuracy is improved.
Through the depth dimension updating of the user relationship chain of the social application, the subsequent pushing of various network resources based on the user relationship chain is more accurate and closer to the user intention. For example, according to the user relationship chain with the updated depth dimension, in the depth dimension, the social application user a and the social application user B are friends who have seen the scene and have limb interaction, and participate in the near field activity of "seeing your friends together for a soccer game" together, so that the advertisement information of the soccer service can be pushed to the social application user a and the social application user B, and the accuracy of putting various service information in the network is greatly improved.
Further, in this embodiment, the step 210 is shown in fig. 3, and includes the following steps:
The reporting of the user identifier and the mobile device identifier received by the server is substantially the response of the social application user in the mobile device to the near field activity page pushed by the server. In particular, the near field activity page includes a user-specified page of near field activity.
The mobile device receives and displays a user designated page of the near field activity through interaction with the server, and completes user designation participating in the near field activity in the page, wherein the designated user range can be all social application users having friend relationships with the user identification logged in the social application of the mobile device, and can also be all social application users knowing the user identification.
The server will initiate near field activity between social application users through the push of user-specified pages of near field activity. And the specific content of the near field activity will be determined according to the needs of the actual operation. For example, the near field activity may be a "fishing together" activity, a "watching a movie together" activity, or the like.
In the user designation page of the near field activity, through a triggered user selection operation, other social application users participating in the near field activity together with the current social application user are designated, so that the user designation obtains a user identifier corresponding to the current social application user, a mobile device identifier and user identifiers corresponding to the other social application users, and reports the user identifiers to the server.
And correspondingly, the mobile devices of other social application users trigger and respond to the user designation of the current social application user on the near field activity, so that the mobile device identification is obtained and reported to the server.
Through the process, the user designation of the near field activity is realized, so that the relation degree among the social application users can be conveniently acquired through the near field activity performed by the social application users, the realization is simple, and the accuracy is ensured.
Further, in this embodiment, the step 230 is shown in fig. 4, and includes the following steps:
step 231, receiving that each social application user fed back by the mobile device is in a near field state, where the social application user in the near field state is detected by triggering the associated detection component after the mobile device jumps into an execution page of the near field activity.
Before the near field activity is carried out, each specified social application user requests the server to jump into an execution page of the near field activity in the mobile device, at the moment, the server is fed back that each specified social application user carries out the near field activity, and the mobile device triggers the detection component associated with the mobile device to detect.
The detection component is used for detecting human body actions and sensing the distance between the detection component and other similar detection components. For example, for a social application user carrying a detection component, the detection of gestures can be performed through the detection component. Each of the designated social application users carries a probe component and is associated with a mobile device.
In a preferred embodiment, the probe assembly functions as a radar signal source by transmitting radar signals at 6 GHZ. For example, the probe component may be a conceptual chip prototype named project solide published by google, which is mounted on wearable devices such as glasses, watches, etc.
Further, the detection component may also be built in the mobile device, and is not limited herein.
After the associated detection assemblies are triggered to sense the distance, for each social application user in the near-field activity, the distance between the detection assemblies of each social application user is measured, and the distance obtained through ranging is the distance between the social application users.
And feeding back that each social application user is in the near field state to the server when each social application user is judged to be in the near field state according to the distance between each social application user.
And the server pushes the action guide information to the mobile equipment when knowing that each social application user is in the near field state, so as to guide each social application user in the near field activity to perform corresponding action.
The action guide information is pushed to the mobile device and is used for indicating actions required to be completed by each social application user in the currently performed near field activity, such as a clapping action and the like.
And 235, detecting and feeding back actions of the social application users responding to the action guide information through the detection component, and receiving and obtaining action characteristics of the social application users in the near-field activity.
Under the action of the detection component, the actions of the social application user completed in the current near field activity are detected, corresponding action characteristics are obtained, and the actions are fed back to the server.
In the near field activity, the server receives the action characteristics fed back by the detection component, and the action characteristics can be in a hash value form representing the action completed by the social application user, or in other forms as long as the action completed by the social application user in response to the action guide information can be represented.
For example, the detection component transmits a radar signal, the social application user receives a return wave of the radar signal when making a certain action, and performs feature sampling on the return wave to obtain a corresponding hash value, wherein the hash value is an action feature and returns the action feature to the server.
Through the process, each social application user is required to make a specific action in the near field activity, the detection component is informed to detect the action, corresponding action characteristics are obtained and fed back to the server, and therefore the server can obtain the relation degree between the social application users according to the near field activity and the action characteristics of each social application user.
In another embodiment, as shown in FIG. 5, the step 230 further comprises:
step 237, after the mobile device is intercepted and obtained to jump into the execution page of the near field activity, the detection component identifier associated with the user identifier is searched according to the corresponding relationship between the mobile device identifier and the detection component identifier.
After intercepting a jump request of an execution page in the mobile equipment, the server searches the detection component identification associated with the mobile equipment of the opposite social application user side in the corresponding relation between the stored mobile equipment identification and the detection component identification for any social application user side.
That is, before performing near field activity, the mobile device and the probe component of each social application user are bound to associate the mobile device with the probe component, and the corresponding correspondence between the mobile device identifier and the probe component identifier is stored in a remote server.
Therefore, the detection component identification associated with each social application user in the near field activity can be found in the stored corresponding relation.
And 238, respectively pushing detection component identifiers associated with the user identifiers of other social application users for each social application user so as to obtain that each social application user is in a near-field state according to the distance measurement of the detection component identifiers.
And each social application user specified by the near field activity receives the detection component identification of the other social application user pushed by the server, and then the distance measurement between the detection components is carried out according to the detection component identification so as to know that each social application user is in a near field state.
In one embodiment, step 250, described above, is illustrated in FIG. 6, and includes the steps of:
and 251, obtaining a result that all the social application users finish the preset action together in the near field activity according to the action characteristics of the social application users in the near field activity.
And through action characteristic feedback carried out by the detection component, action characteristics of each social application user in the near field activity are obtained, whether each social application user completes a preset action together is judged according to the action characteristics of each social application user in the near field activity, and a corresponding result is output.
For example, it is known through the action features of the social application users in the near-field activity that the social application users have completed the required body action, for example, the social application users have performed clapping, and at this time, a result of clapping between the social application users in the near-field activity will be obtained.
The result of the preset action completed by the social application users in the near field activity is that for the server, on one hand, the server notifies that the near field activity between the specified social application users is completed, and on the other hand, the result is also transmitted to the server storing the user relationship chain by the server, so that the depth dimension of the user relationship chain is updated.
And step 253, adding relation depth information among the social application users to the user relation chains of the social application users according to the result that the social application users finish the preset actions together in the near field activity.
The updating of the relationship depth information includes updating of results of preset actions performed by all social application users in the near field activity, and also includes other relationship depth information obtained by analyzing the results, and the relationship depth information is not listed one by one, and can be set according to the needs of actual operation.
Through the process, the updating of the depth dimension in the user relation chain of the social application is realized under the assistance of the detection component and the near field activity, and along with the continuous updating, the relation depth information of the user relation chain is enriched continuously, so that the user relation chain is gradually three-dimensionally changed, and a data basis is provided for various applications realized based on the user relation chain.
In one embodiment, there is further provided a method for implementing near-field social interaction, as shown in fig. 7, the method including:
in step 310, in the social application logged in by the first user identifier, user designation is triggered by the user designation page of the near field activity to obtain other user identifiers performing near field activity with the first social application user.
The first social application user responds to the user-specified page of the near-field activity to perform user-specified social application user, and the corresponding first user identification is the user identification logged in by the social application in the mobile device responding to the user-specified page.
In particular implementations, because the near field activity is based on near field social interaction by the social application, the server will push a user-specified page of the near field activity to the social application running in the mobile device.
The social application displays a user-specified page of the near-field activity, and at the moment, the first social application user triggers a user selection operation in the user-specified page so as to specify the social application user performing the near-field activity. The designated social application user is a contact or a friend of the first social application user in the social application.
And triggering user designation in the user designation page of the near field activity by the first social application user to obtain the first user identifier and other user identifiers for performing the near field activity with the first social application user.
The social application may be various chat applications, a virtual social network application, a payment tool with a conversation function, or the like.
And the first social application user side acquires the mobile equipment identification, and reports the acquired various user identifications and the acquired mobile equipment identification so as to enable the server to acquire the social application users performing the near field activity and the mobile equipment used by the social application users.
In step 350, the association detection component is triggered in the near-field state to detect the action of the first social application user in the near-field activity with other social application users, so as to feed back the action characteristics of the first social application user in the near-field activity to the server.
And for the first social application user side, when the first social application user side and each specified social application user are in a near field state, triggering the action of the first social application user when the first social application user performs near field activities with other social application users, and obtaining and feeding back corresponding action characteristics.
Wherein the server is to be enabled to update the depth dimension of the chain of corresponding user relationships in the social application through the feedback.
It should be noted that the feedback includes the action characteristic feedback performed by the first social application user side and the action characteristic feedback performed by the specified other social application user sides.
According to the action characteristics obtained by the feedback, the server learns that each social application user specified in the near field activity completes the required action, and therefore updating can be performed according to the result.
Through the process, the near-field social interaction among the social application users is realized, and data enrichment is continuously performed for each social application user along with the continuous near-field social interaction among the social application users, and the process is also a process of three-dimensional user relationship chain.
In another embodiment, after step 330, the method as described above is shown in fig. 8, and further comprises:
step 410, in the social application logged in by any other user identifier, triggering and responding to user designation performed by the first social application user in the user-designated page, and reporting the corresponding mobile device identifier to the server.
In any social application user side of other social application users appointed by the first social application user to participate in the near field activity, the social application obtains user appointments made by the first social application user for the near field activity, and if a response to the user appointments made by the first social application user in a user appointed page is triggered, the mobile equipment identification is obtained and reported to the server so as to report that the social application user appointed by the server agrees to make the near field activity.
And 430, triggering the association detection component to detect the action of any other social application user in the near-field activity in the near-field state, so as to feed back the action characteristics of any other social application user in the near-field activity to the server.
Similar to the first social application user side, when the other social application user sides are in a near-field state with each designated social application user, the other social application user sides trigger action detection to obtain corresponding action characteristics and feed the corresponding action characteristics back to the server.
In another embodiment, as shown in fig. 9, the method as described above further comprises:
Any social application user side designated to perform near field activity, such as if near field activity is about to occur, e.g., if it is time to occur to watch a near field activity of a ball game with a friend, then a jump is triggered into the execution page of the near field activity.
And step 530, receiving detection component identifications associated with other social application users who perform jump entry of the page and trigger pushing, and triggering associated detection components to measure distance according to the detection component identifications to obtain the distance between the returned social application users.
And triggering a detection component associated with the mobile equipment to carry out ranging along with the jump entry of the execution page, so as to obtain the distance between the current social application user and each other social application user.
The detection component associated with the mobile device needs to perform ranging according to the detection component identifier associated with the other social application user, that is, the mobile device where the other social application user is located in the near field activity, and further according to the detection component identifier.
Specifically, the detection component associated with the social application user will transmit and echo range with the other detection component via the signal according to the detection component identifier.
And step 550, judging that each social application user is in a near field state according to the distance between the social application users, and reporting that each social application user is in the near field state to a server.
Whether the social application users are already in the near field state can be determined according to the distance between the social application users, for example, if the distance between the social application users is smaller than a preset value, such as 1 meter, it is determined that the social application users are in the near field state.
In another embodiment, as shown in fig. 10, the method as described above further comprises:
After receiving the reported near field state of each social application user, the server pushes action guide information to the mobile device where each social application user is located, so as to require each social application user performing near field activity to complete the specified action.
And each social application user side of the near field activity displays the action pointing information pushed by the server after receiving the action pointing information, and informs the detection component associated with the mobile equipment to detect the action so as to start the associated detection component.
The implementation of depth dimension updating and near-field social interaction of user relationship chains is described below in connection with one embodiment. In this embodiment, the data corresponding to the user relationship chain is stored in the relationship chain server, and after the mobile device is bound to the detection component, the correspondence between the mobile device identifier and the detection component identifier is stored in the storage center.
The server provides various near field activities for the social application users, and enables the mobile device to display related near field pages in a page pushing mode specified by the users of the near field activities.
As shown in fig. 11, the near field event may be a ball game with friends, a ticket buy, and a send one event. Through the pushing of the server, the mobile device of the first social application user jumps to a user-specified page of the near-field activity, and selects a friend or any other social application user as a specified user of the near-field activity.
Referring to the timing process shown in fig. 12, the first social application user shares the selected friend identifier to the designated friend through the sharing channel in the background according to the user designation performed through the user designation page of the near field activity, and reports the mobile device identifier of the friend to the server in response to the user designation.
It should be noted that, the user identifier and the mobile device identifier performed by the first social application user side are reported, that is, S740 and the performed sharing step, that is, S730 may be performed simultaneously, or may be performed successively as needed, and the timing sequence of these two steps is not limited.
After the first social application user invites friends of the first social application user to watch the ball game together, temporarily jumping to enter an execution page of near field activity in mobile devices of the first social application user and the friends on the day of watching the ball game together, and when the straight line distance between the first social application user and the friends is judged to be less than 1 meter, the first social application user and the friends are in a near field state.
The server requires the first social application user and the friend to make a clapping gesture, if the first social application user and the friend are judged to make the clapping gesture through the feedback action characteristics, the friend relationship of the first social application user and the friend watching the ball together is transmitted to the relationship chain server while the near field activity is continued, a relationship degree dimension is added to the two-dimensional user relationship chain between the first social application user and the friend, and therefore updating of the depth dimension in the user relationship chain is achieved.
Further, in an embodiment, there is further provided an apparatus for processing a user relationship chain disposed in a server, the apparatus as shown in fig. 13, including an identification obtaining module 910, a feature obtaining module 930, and an updating module 950, wherein:
an identifier obtaining module 910, configured to obtain the reported user identifier and an identifier of a mobile device where the user identifier logs in the social application;
a feature obtaining module 930, configured to perform near field activity detection between specified social application users through the mobile device identifier and the user identifier, so as to obtain action features of the social application users in the near field activity;
an updating module 950, configured to perform depth dimension updating on the user relationship chain of the social application according to the action features of the social application user in the near-field activity.
Further, as shown in fig. 14, the identity acquisition module 910 includes a designated page push 911 and an identity receiving unit 913, where:
the specified page pushing unit 911 is configured to push a user specified page of the near field activity to the mobile device, so as to obtain a specified user identifier and a mobile device identifier where the user identifier logs in the social application through a response of the user specified page in the mobile device.
The identifier receiving unit 913 is configured to receive the user identifier obtained and reported by the mobile device and the identifier of the mobile device where the social application logged in by the user identifier is located.
Further, as shown in fig. 15, the feature obtaining module 930 includes a state receiving unit 931, an action directing unit 933, and a feedback receiving unit 935, where:
the state receiving unit 931 is configured to receive that each social application user fed back by the mobile device is in a near field state, where the near field state of each social application user is obtained by triggering a related detection component to detect after the mobile device jumps into an execution page of a near field activity;
the action guidance pushing unit 933 is used for triggering and pushing action guidance information to the mobile device when each social application user is in a near field state, and the mobile device is a mobile device where each social application user in the near field state logs in the social application through respective user identification;
the feedback receiving unit 935 is configured to detect and feed back, by the detection component, an action performed by the social application user in response to the action guide information, and receive and obtain an action characteristic of the social application user in the near-field activity.
In another embodiment, the feature obtaining module 930 further includes a lookup unit 937 and an identity pushing unit 938 as shown in fig. 16, wherein:
a searching unit 937, configured to search, after obtaining the execution page where the mobile device jumps into the near-field activity, a detection component identifier associated with the user identifier according to a correspondence between the mobile device identifier and the detection component identifier;
an identifier pushing unit 938, configured to push, for each social application user, a detection component identifier associated with the user identifier of another social application user, respectively, so as to obtain that each social application user is in a near-field state according to a distance measurement of the detection component identifier.
In one embodiment, as shown in fig. 17, the updating module 950 includes a result obtaining unit 951 and a relationship depth adding unit 953, wherein:
the result obtaining unit 951 is configured to obtain a result that each social application user completes a preset action together in the near field activity according to the action characteristics of the social application user in the near field activity;
and the relationship depth adding unit 953 is configured to add, to the user relationship chain of the social application user in the social application, relationship depth information between the social application users according to a result that the social application users jointly complete the preset action in the near field activity.
In addition, in an embodiment, as shown in fig. 18, there is further provided an apparatus for implementing near-field social contact, where the apparatus includes a designated page response module 1010, a first identifier reporting module 1030, and a first action detecting module 1050, where:
the designated page response module 1010 is used for triggering user designation by a user designated page of near field activity in the social application logged in by the first social application user identifier so as to obtain other user identifiers performing near field activity with the first social application user;
a first identifier reporting module 1030, configured to obtain a mobile device identifier where the first user identifier logs in the social application, and report the first user identifier, the mobile device identifier where the first social application user logs in, and specified other user identifiers to the server;
the first action detection module 1050 is used for triggering the association detection component to detect the action of the first social application user in the near-field activity with other social application users in a near-field state so as to feed back the action characteristics of the first social application user in the near-field activity to the server;
wherein the server is to be enabled to update the depth dimension of the chain of corresponding user relationships in the social application through the feedback.
It should be noted that the designated page response module 1010, the first identifier reporting module 1030, and the first action detection module 1050 run on a social application user side, and the social application user side designates a social application user performing near-field activity.
In another embodiment, as shown in fig. 19, the apparatus as described above further includes a second identifier reporting module 1110 and a second action detecting module 1130, where:
the second identifier reporting module 1110 is configured to trigger a response to user designation performed by the first social application user in a user-designated page in the social application logged in by any other user identifier, and report the corresponding mobile device identifier to the server;
the second action detection module 1130 is configured to trigger the association detection component to perform action detection of any other social application user in the near-field activity in a near-field state, so as to feed back action characteristics of any other social application user in the near-field activity to the server.
It should be noted that the second identifier reporting module 1110 and the second action detecting module 1130 are run on any other social application user side relative to the social application user side.
In another embodiment, as shown in fig. 20, the apparatus as described above further includes a hop listening module 1210, a ranging triggering module 1230 and a status reporting module 1250, where:
a skip interception module 1210 for intercepting an execution page for skipping to enter a near field activity;
the distance measurement triggering module 1230 is configured to receive a detection component identifier associated with another social application user who performs a jump entry of the page and triggers a push, and trigger an associated detection component to measure a distance according to the detection component identifier, so as to obtain a distance between each returned social application user;
the status reporting module 1250 is configured to determine that each social application user is in the near field status according to the distance between the social application users, and report that each social application user is in the near field status to the server.
It should be noted that the skip interception module 1210, the ranging trigger module 1230 and the status reporting module 1250 operate on the user side of each social application.
In another embodiment, as shown in FIG. 21, the apparatus described above further acts as a direction receiving module 1310 and a direction information processing module 1330, wherein:
an action guidance receiving module 1310, configured to receive action guidance information pushed by a server according to that each social application user is in a near field state;
the guiding information processing module 1330 is configured to display the motion guiding information and notify the associated detecting component to perform motion detection.
It should be noted that the action guidance receiving module 1310 and the guidance information processing module 1330 are executed on the user side of each social application.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
While the present invention has been described with reference to several exemplary embodiments, it is understood that the terminology used is intended to be in the nature of words of description and illustration, rather than of limitation. As the present invention may be embodied in several forms without departing from the spirit or essential characteristics thereof, it should also be understood that the above-described embodiments are not limited by any of the details of the foregoing description, but rather should be construed broadly within its spirit and scope as defined in the appended claims, and therefore all changes and modifications that fall within the meets and bounds of the claims, or equivalences of such meets and bounds are therefore intended to be embraced by the appended claims.
Claims (20)
1. A method of processing a chain of user relationships, performed by a server, the method comprising:
the method comprises the steps of obtaining reported user identification and mobile equipment identification where the user identification logs in a social application, wherein the obtained user identification corresponds to more than one social application user;
performing near field activity detection between designated social application users through the mobile equipment identifier and the user identifier to obtain action characteristics of the social application users in the near field activity, wherein the near field activity is an activity of each social application user in a near field state, and the near field state is a state that the geographic position of each social application user is located in the same geographic area or the distance between each social application user is smaller than a preset distance;
and adding information of the relationship degree between the social application users to the user relationship chain of the social application users in the social application according to the action characteristics of the social application users in the near field activity.
2. The method of claim 1, wherein the step of obtaining the reported ue and the ue id where the ue logs in to the social application comprises:
pushing a user-specified page of near field activity to mobile equipment so as to obtain a specified user identifier and a mobile equipment identifier where the user identifier logs in a social application through the response of the user-specified page in the mobile equipment;
and receiving the user identification obtained and reported by the mobile equipment and the mobile equipment identification where the user identification logs in the social application.
3. The method of claim 1, wherein the step of performing near field activity detection between specified users through the mobile device identifier and the user identifier to obtain the action characteristics of the social application user in the near field activity comprises:
receiving that each user fed back by the mobile device is in a near field state, wherein the near field state of each user is obtained by triggering a related detection component to detect after the mobile device jumps into an execution page of the near field activity;
triggering pushing action guide information to mobile equipment when the social application users are in a near field state, wherein the mobile equipment is used for logging in the social application users in the near field state through respective user identifiers;
and detecting and feeding back actions of the social application users responding to the action guide information through the detection component, and receiving and obtaining action characteristics of the social application users in the near field activities.
4. The method of claim 3, wherein the step of performing near field activity detection between the specified social application users through the mobile device identifier and the user identifier to obtain the action characteristics of the social application users in the near field activity further comprises:
after the mobile equipment is intercepted and obtained, jumping to enter the execution page of the near field activity, searching a detection component identifier associated with the user identifier according to the corresponding relation between the mobile equipment identifier and the detection component identifier;
and respectively pushing detection component identifications associated with the user identifications of other social application users for each social application user so as to obtain that each social application user is in a near-field state according to the distance measurement of the detection component identifications.
5. The method of claim 1, wherein the step of adding information of the degree of relationship between the social application users to the social application user relationship chains of the social application users according to the action characteristics of the social application users in the near-field activities comprises:
obtaining a result that all social application users finish preset actions together in the near field activity according to action characteristics of the social application users in the near field activity;
and adding information of the relationship degree between the social application users to the user relationship chain of the social application users according to the result that the social application users finish the preset action together in the near field activity.
6. A method for realizing near-field social contact is characterized by comprising the following steps:
in the social application logged in by the first user identifier, triggering user designation by a user designation page of near field activity to obtain other user identifiers performing the near field activity with the first social application user, wherein the near field activity is the activity performed by each social application user in a near field state, and the near field state is a state that the geographic position of each social application user is located in the same geographic area or the distance between each social application user is smaller than a preset distance;
the method comprises the steps of obtaining a mobile equipment identifier where a first user identifier logs in a social application, and reporting the first user identifier, the mobile equipment identifier where the first social application user logs in and other specified user identifiers to a server;
triggering an association detection component in the near-field state to detect the action of the first social application user in near-field activities with other social application users so as to feed back action characteristics of the first social application user in the near-field activities to the server;
wherein the server is enabled to add information of the degree of relationship between the respective users to a user relationship chain of the respective users in the social application through the feedback.
7. The method of claim 6, wherein after the step of obtaining the identifier of the mobile device where the first ue logs in to the social application, and reporting the first ue, the identifier of the mobile device where the first ue logs in to the first social application, and the specified other ues to the server, the method further comprises:
triggering and responding to user designation of the first social application user in the user designated page in the social application logged in by any other user identifier, and reporting a corresponding mobile equipment identifier to the server;
and triggering an association detection component to detect the action of any other social application user in the near field activity in the near field state, so as to feed back the action characteristics of any other social application user in the near field activity to the server.
8. The method according to claim 6 or 7, characterized in that the method further comprises:
intercepting to obtain an execution page jumping to enter the near field activity;
receiving detection component identifications associated with other social application users who jump into the execution page and trigger pushing, and triggering associated detection components to measure distances according to the detection component identifications to obtain the distances between the returned social application users;
and judging that each social application user is in a near field state according to the distance between the social application users, and reporting that each social application user is in the near field state to the server.
9. The method of claim 8, further comprising:
receiving action guide information pushed by the server according to the fact that each social application user is in a near field state;
and displaying the action guide information and informing the associated detection component to detect the action.
10. An apparatus for processing a user relationship chain, disposed in a server, the apparatus comprising:
the identification acquisition module is used for acquiring the reported user identification and the identification of the mobile equipment where the user identification logs in the social application, and the acquired user identification corresponds to more than one social application user;
the characteristic acquisition module is used for detecting near field activities among specified social application users through the mobile equipment identification and the user identification to obtain action characteristics of the social application users in the near field activities, wherein the near field activities are activities of the social application users in a near field state, and the near field state is a state that the geographic positions of the social application users are located in the same geographic area or the distance between the social application users is smaller than a preset distance;
and the updating module is used for adding information of the relationship degree between the social application users to the user relationship chain of the social application users according to the action characteristics of the social application users in the near field activity.
11. The apparatus of claim 10, wherein the identity acquisition module comprises:
the specified page pushing unit is used for pushing a user specified page of the near field activity to the mobile equipment so as to obtain a specified user identifier and a mobile equipment identifier where the user identifier logs in the social application through the response of the user specified page in the mobile equipment;
and the identification receiving unit is used for receiving the user identification obtained and reported by the mobile equipment and the identification of the mobile equipment where the user identification logs in the social application.
12. The apparatus of claim 10, wherein the feature acquisition module comprises:
the state receiving unit is used for receiving that each social application user fed back by the mobile device is in a near field state, and the social application user in the near field state is obtained by triggering a related detection assembly to detect after the mobile device jumps into an execution page of the near field activity;
the action guide pushing unit is used for triggering and pushing action guide information to the mobile equipment when the social application users are in a near field state, and the mobile equipment is the mobile equipment where the social application users log in through respective user identifiers;
and the feedback receiving unit is used for detecting and feeding back actions of the social application users responding to the action guide information through the detection component, and receiving and obtaining action characteristics of the social application users in the near-field activities.
13. The apparatus of claim 12, wherein the feature obtaining module further comprises:
the searching unit is used for searching the detection component identification related to the user identification according to the corresponding relation between the mobile equipment identification and the detection component identification after the mobile equipment jumps to enter the execution page of the near field activity;
and the identification pushing unit is used for pushing detection component identifications associated with the user identifications of other social application users for each social application user respectively so as to obtain that each social application user is in a near field state according to the distance measurement of the detection component identifications.
14. The apparatus of claim 10, wherein the update module comprises:
the result obtaining unit is used for obtaining a result that all social application users finish preset actions together in the near field activity according to the action characteristics of the social application users in the near field activity;
and the relationship depth adding unit is used for adding information of the relationship degree between the social application users to the user relationship chain of the social application users according to the result that the social application users finish the preset action together in the near field activity.
15. An apparatus for implementing near-field social contact, comprising:
the designated page response module is used for triggering user designation by a user designated page of near field activity in the social application logged in by the first user identifier so as to obtain other user identifiers for performing the near field activity with the first social application user, wherein the near field activity is the activity performed by each social application user in a near field state, and the near field state is a state that the geographic position of each social application user is located in the same geographic area or the distance between each social application user is smaller than a preset distance;
the first identification reporting module is used for acquiring the mobile equipment identification where the first user identification logs in the social application and reporting the first user identification, the mobile equipment identification logged in by the first social application user and other specified user identifications to the server;
a first action detection module, configured to trigger an association detection component in the near-field state to detect an action of the first social application user in near-field activities with other social application users, so as to feed back, to the server, an action feature of the first social application user in the near-field activities;
wherein the server is enabled to add information of the degree of relationship between the respective users to a user relationship chain of the respective users in the social application through the feedback.
16. The apparatus of claim 15, further comprising:
the second identifier reporting module is used for triggering and responding to user designation of the first social application user in the user designated page in the social application logged in by any other user identifier, and reporting the corresponding mobile equipment identifier to the server;
and the second action detection module is used for triggering the association detection component to detect the action of any other social application user in the near-field activity in the near-field state so as to feed back the action characteristics of any other social application user in the near-field activity to the server.
17. The apparatus of claim 15 or 16, further comprising:
the jump interception module is used for intercepting and obtaining an execution page jumping to the near field activity;
the distance measurement triggering module is used for receiving detection component identifications associated with other social application users who jump into the execution page and trigger pushing, and triggering the associated detection components to measure distances according to the detection component identifications so as to obtain the distances between the returned social application users;
and the state reporting module is used for judging that each social application user is in a near-field state according to the distance between the social application users and reporting that each social application user is in the near-field state to the server.
18. The apparatus of claim 17, further comprising:
the action guide receiving module is used for receiving action guide information pushed by the server according to the fact that each social application user is in a near field state;
and the guide information processing module is used for displaying the action guide information and informing the associated detection component to detect the action.
19. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to carry out the method of any one of claims 1 to 9.
20. A computer-readable program medium storing computer-readable instructions which, when executed by a processor, cause a computer to perform the method of any one of claims 1-9.
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