CN113191913A

CN113191913A - Social information processing method, processing system, electronic device and readable storage medium

Info

Publication number: CN113191913A
Application number: CN202110588013.5A
Authority: CN
Inventors: 吴昊
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2021-05-27
Filing date: 2021-05-27
Publication date: 2021-07-30

Abstract

The disclosure provides a social information processing method which can be applied to the financial field and the internet technical field. The social information processing method comprises the following steps: acquiring social information of users, wherein the social information of each user comprises content information and position information associated with the content information; determining a target area associated with the social information in the plurality of areas according to the location information; adding tag information determined according to the content information to an area tag set corresponding to the target area, wherein the area tag set comprises a plurality of tag information; determining target area label information of a target area according to the area label set; and rendering the target area according to the tag information of the target area to generate an area-level social map. The present disclosure also provides a social information system, an electronic device, a readable storage medium, and a computer program product.

Description

Social information processing method, processing system, electronic device and readable storage medium

Technical Field

The present disclosure relates to the field of finance and internet technology, and more particularly, to a social information processing method, a processing system, an electronic device, a readable storage medium, and a computer program product.

Background

Network socialization refers to networking of relationships between people, and is represented by various social networking software on the internet. In existing social software, users and topics are taken as main social methods, and the social methods are basically social methods spanning physical spaces.

In implementing the disclosed concept, the inventors found that there are at least the following problems in the related art: the existing social networking method is single.

Disclosure of Invention

In view of the above, the present disclosure provides a social information processing method, a processing system, an electronic device, a readable storage medium, and a computer program product.

One aspect of the present disclosure provides a social information processing method, including:

acquiring social information of users, wherein the social information of each user comprises content information and position information associated with the content information;

determining a target area associated with the social information in a plurality of areas according to the position information;

adding tag information determined according to the content information to an area tag set corresponding to the target area, wherein the area tag set comprises a plurality of tag information;

determining target area label information of the target area according to the area label set;

and rendering the target area according to the target area tag information to generate an area-level social map.

According to an embodiment of the present disclosure, the determining, from the location information, a target area associated with the social information among a plurality of areas includes:

and determining a target area associated with the social information according to the longitude and latitude information of the position information and the longitude and latitude range information of each area.

According to an embodiment of the present disclosure, the determining target area tag information of the target area according to the area tag set includes:

acquiring interaction information of each tag information in the regional tag set, wherein the interaction information comprises approval information and comment information;

sequencing each label information in the area label set according to the interaction information to generate a first label sequence;

and determining the label information with the highest priority in the first label sequence as the label information of the target area.

According to the embodiment of the disclosure, each target area label information corresponds to an identification mark, wherein the identification mark comprises a color mark;

the rendering processing of the target area according to the target area tag information and the generation of the area-level social map comprise:

acquiring the identification mark corresponding to the target area label information;

and rendering the target area according to the identification mark to generate the area-level social map.

According to an embodiment of the present disclosure, determining the tag information according to the content information includes:

acquiring a tag selection operation associated with the content information;

determining the tag information in response to the tag selection operation; or

Acquiring keyword information in the content information through a language identification algorithm;

and determining the keyword information as the tag information.

According to an embodiment of the present disclosure, the target area comprises at least one area unit, the method further comprising:

determining a target area unit associated with the social information according to the position information;

adding tag information determined from the content information to a unit tag set associated with the target area unit, wherein the unit tag set includes a plurality of the tag information;

determining target area unit label information of the target area unit according to the unit label set;

and rendering the area unit according to the target unit area label information to generate an area unit level social map.

According to an embodiment of the present disclosure, the social information processing method further includes:

and rendering the region level social map and the unit level social map to generate a multi-level social map.

Another aspect of the present disclosure provides a social information processing system including:

the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring social information of users, and the social information of each user comprises content information and position information associated with the content information;

a first determination module, configured to determine, according to the location information, a target area associated with the social information among a plurality of areas;

a first adding module, configured to add tag information determined according to the content information to an area tag set corresponding to the target area, where the area tag set includes a plurality of pieces of tag information;

a second determining module, configured to determine target area tag information of the target area according to the area tag set;

and the first rendering module is used for rendering the target area according to the target area tag information to generate an area-level social map.

Another aspect of the present disclosure provides an electronic device including: one or more processors; memory to store one or more instructions, wherein the one or more instructions, when executed by the one or more processors, cause the one or more processors to implement a method as described above.

Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions for implementing the method as described above when executed.

Another aspect of the disclosure provides a computer program product comprising computer executable instructions for implementing the method as described above when executed.

According to the embodiment of the disclosure, by acquiring content information and location information in social information of a user, a target area associated with the social information is determined according to the location information. And then adding the tag information which is associated with the content information to an area tag set which is associated with the target area, finally determining the target tag information in the area tag set, rendering the target area according to the target tag information, and generating the area-level social map. The area-level social map is determined according to the content information and the position information associated with the social information of the user, so that the social activities in the preset area can be systematically recorded by a system of the area-level social map, and the diversity of network social is increased.

Drawings

The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:

fig. 1 schematically shows an exemplary system architecture to which a social information processing method may be applied according to an embodiment of the present disclosure.

Fig. 2 schematically shows a flow chart of a social information processing method according to an embodiment of the present disclosure.

Fig. 3 schematically shows a schematic diagram of a social information processing method according to another embodiment of the present disclosure.

FIG. 4 schematically shows a block diagram of a social information processing system according to an embodiment of the present disclosure.

Fig. 5 schematically illustrates a block diagram of a computer system suitable for implementing the above-described method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.

Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B and C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.). Where a convention analogous to "A, B or at least one of C, etc." is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., "a system having at least one of A, B or C" would include but not be limited to systems that have a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

Social approaches generally include social landscape and social portrait. Horizontal social contact refers to a social approach across a physical space, and common horizontal social approaches include online chat, telephone calls, and the like. Vertical socialization refers to a social approach across time, generally not direct interaction, but indirect, such as "time capsule" games and the like.

At present, network socializing has become an indispensable part of people. Network socialization refers to networking of relationships between people, and is represented by various social networking software on the internet. In the existing social software, social methods mainly including users and topics are basically horizontal social methods.

In the process of implementing the concept of the present disclosure, the inventors found that there is at least the following problem in the related art, and the existing social networking method is relatively single and cannot systematically record social activities in a fixed area. For a relatively fixed place with frequent people movement, such as a campus and the like, there is no way to systematically record the events left by students and teachers in various places of the campus by existing social software.

Embodiments of the present disclosure provide a social information processing method, a processing system, an electronic device, a readable storage medium, and a computer program product. The social information processing method comprises the steps of obtaining social information of users, wherein the social information of each user comprises content information and position information associated with the content information; determining a target area associated with the social information in the plurality of areas according to the location information; adding tag information determined according to the content information to an area tag set corresponding to the target area, wherein the area tag set comprises a plurality of tag information; determining target area label information of a target area according to the area label set; and rendering the target area according to the tag information of the target area to generate an area-level social map.

It should be noted that the social information processing method and system provided by the embodiments of the present disclosure may be used in the financial field and the internet technology field, and may also be used in any field other than the financial field and the internet technology field.

Fig. 1 schematically illustrates an exemplary system architecture 100 to which a social information processing method may be applied, according to an embodiment of the present disclosure. It should be noted that fig. 1 is only an example of a system architecture to which the embodiments of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, and does not mean that the embodiments of the present disclosure may not be applied to other devices, systems, environments or scenarios.

As shown in fig. 1, the system architecture 100 according to this embodiment may include

terminal devices

101, 102, 103, a network 104 and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired and/or wireless communication links, and so forth.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may have installed thereon various communication client applications, such as a shopping-like application, a web browser application, a search-like application, an instant messaging tool, a mailbox client, and/or social platform software, etc. (by way of example only).

The

terminal devices

101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (for example only) providing support for websites browsed by users using the

terminal devices

101, 102, 103. The background management server may analyze and perform other processing on the received data such as the user request, and feed back a processing result (e.g., a webpage, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that the social information processing method provided by the embodiment of the present disclosure may be generally executed by the server 105. Accordingly, the social information processing system provided by the disclosed embodiments may be generally disposed in the server 105. The social information processing method provided by the embodiment of the present disclosure may also be executed by a server or a server cluster that is different from the server 105 and is capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Accordingly, the social information processing system provided by the embodiment of the present disclosure may also be disposed in a server or a server cluster different from the server 105 and capable of communicating with the

terminal devices

101, 102, 103 and/or the server 105. Alternatively, the social information processing method provided by the embodiment of the present disclosure may also be executed by the

terminal device

101, 102, or 103, or may also be executed by another terminal device different from the

terminal device

101, 102, or 103. Accordingly, the social information processing system provided by the embodiment of the present disclosure may also be provided in the

terminal device

101, 102, or 103, or in another terminal device different from the

terminal device

101, 102, or 103.

For example, the social information to be processed may be obtained by any one of the

terminal devices

101, 102, or 103 (for example, the terminal device 101 is not limited thereto), and then the terminal device 101 may locally execute the social information processing method provided by the embodiment of the present disclosure, or send the social information to be processed to another terminal device, a server, or a server cluster, and execute the social information processing method provided by the embodiment of the present disclosure by another terminal device, a server, or a server cluster that receives the social information to be processed.

It should be understood that the number of terminal devices, networks, and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

As shown in fig. 2, the method includes operations S201 to S205.

In operation S201, social information of users is acquired, wherein the social information of each user includes content information and location information associated with the content information.

According to an embodiment of the present disclosure, the social information may be obtained by a terminal, for example, the terminal may include an electronic device, the electronic device may include a terminal device, and the terminal device may include a smartphone, a tablet computer, a portable computer, a desktop computer, or the like.

According to an embodiment of the present disclosure, the content information may include, for example, message information, and the message information may include, for example, text information, picture information, voice information, video information, and the like. The location information may include, for example, latitude and longitude information. Specifically, the location information may be determined according to a location selection operation of the user when the user posts the social information, or may be determined according to a location where the user posts the social information. The selection operation may include a click or a slide.

For example, when a user posts social information through a terminal, a location information selection page may be presented, and location information of the social information may be determined through a selection operation of the user. Or when the user publishes the social information through the terminal, the terminal automatically acquires the position information where the user is located, and determines the position information as the position information of the social information.

In operation S202, a target area associated with social information is determined among a plurality of areas according to the location information.

According to the embodiment of the disclosure, the target area is divided into a plurality of areas, and the areas can be overlapped according to specific implementation requirements. The target area determined from the position information may be plural.

In operation S203, tag information determined according to the content information is added to an area tag set corresponding to the target area, wherein the area tag set includes a plurality of tag information.

According to an embodiment of the present disclosure, the tag information may include, for example, a keyword tag or the like. The determination manner of the tag information may include, for example, determination from a keyword in the content information, determination from a selection operation associated with the content information, and the like.

According to an embodiment of the present disclosure, the region tagset includes tag information provided by each social information associated with the region.

In operation S204, target area tag information of the target area is determined according to the area tag set.

According to the embodiment of the present disclosure, the determination manner of the tag information of the target area may be determined according to the number of interactions of each tag information, for example. The interaction mode of the tag information may include, for example, approval, leaving a message, forwarding, and the like.

In operation S205, a target area is rendered according to the target area tag information, and an area-level social map is generated.

According to the embodiments of the present disclosure, rendering manners of areas having different target area tag information are different, and rendering degrees of areas having the same target area tag information are different. To distinguish each region.

According to an embodiment of the present disclosure, determining a target area associated with social information among a plurality of areas according to location information includes:

According to the embodiment of the disclosure, each area may correspond to latitude and longitude range information. And if the longitude and latitude information of the position information belongs to the longitude and latitude range information corresponding to a certain area, determining the area as a target area.

According to an embodiment of the present disclosure, determining target area tag information of a target area according to an area tag set includes: acquiring interactive information of each tag information in a regional tag set, wherein the interactive information comprises approval information and comment information; sequencing each label information in the area label set according to the interaction information to generate a first label sequence; and determining the label information with the highest priority in the first label sequence as the target area label information.

According to an embodiment of the present disclosure, the interaction information may include, for example, approval information, comment information, forwarding information, and the like. The approval information may include, for example, the amount of approval and the like. The comment information may include, for example, the number of comments, the comment content length, the comment content quality, and the like. The forwarding information may include, for example, the number of forwards, etc.

According to the embodiment of the disclosure, each target area label information corresponds to an identification mark, wherein the identification mark comprises a color mark.

According to embodiments of the present disclosure, the color identification may comprise, for example, a color family identification. Each target area label information corresponds to a color system identification.

According to the embodiment of the disclosure, the rendering processing is performed on the target area according to the target area tag information, and the generating of the area-level social map includes:

acquiring an identification mark corresponding to the target area label information;

and rendering the target area according to the identification mark to generate an area-level social map.

According to an embodiment of the present disclosure, a method for rendering a target area may include, for example, performing rendering processing according to target area tag information and a corresponding color system identifier. In particular, regions with different target region label information are rendered in different colors. The areas having the same target area label information may determine different rendering degrees according to the quantity, quality and other factors of the interactive information, and the rendering degrees may include color depth and opacity, for example.

Taking the area a, the area B and the area C as an example, the area a and the area B have the same target area tag information, but the number of pieces of interaction information of the target area tag information of the area a is greater than that of the target area tag information of the area B. The target area tag information of the area C is different from the target area tag information of the areas a and B.

And if the color system marks corresponding to the target area label information of the area A and the area B are blue, the color system mark corresponding to the target area label information of the area C is green. The a and B regions are rendered blue and the C region is rendered green. The area a is intentionally rendered to dark blue, and the area B may be rendered to light blue.

According to an embodiment of the present disclosure, determining tag information according to content information includes:

acquiring a tag selection operation associated with the content information; tag information is determined in response to a tag selection operation.

According to the embodiment of the disclosure, when a user edits content information, a tag selection page can be displayed, and the tag selection page can display a plurality of tags for the user to select. And determining the label information according to the selection operation of the user.

According to an embodiment of the present disclosure, determining the tag information according to the content information further includes:

acquiring keyword information in the content information through a language identification algorithm; the keyword information is determined as tag information.

According to the embodiment of the present disclosure, after the user edits the content information, for example, keyword information of the content information is acquired through a language identification algorithm, and the keyword is determined as tag information.

According to an embodiment of the present disclosure, the target area includes at least one area unit.

According to an embodiment of the present disclosure, each region includes at least one region unit, and the region unit may refer to a minimum unit divided by a fixed size. The area unit can be used as the minimum storage main body of the system and at least comprises the following information: area unit ID (identification number), latitude and longitude range information, level information, belonging area information, unit tag information, content information, and the like.

According to embodiments of the present disclosure, each region may be divided into a plurality of sub-regions, and each sub-region may be further divided into a plurality of sub-regions. Specifically, the number of levels may be set according to actual needs, and the embodiment of the present disclosure does not limit the number of levels.

determining a target area unit associated with the social information according to the position information; adding tag information determined according to the content information to a unit tag set associated with the target area unit, wherein the unit tag set comprises a plurality of tag information; determining target area unit label information of the target area unit according to the unit label set; and rendering the area unit according to the target unit area label information to generate an area unit level social map.

According to the embodiment of the disclosure, the generation method portion of the region unit-level social graph corresponds to the generation method portion of the region-level social graph in the embodiment of the disclosure, and the description of the generation method portion of the region unit-level social graph specifically refers to the generation method portion of the region-level social graph, which is not described herein again.

According to the embodiment of the disclosure, the method for rendering the region-level social map and the unit-level social map may include rendering and integrating the region-level social map and the unit-level social map to form a multi-level social map. Furthermore, if the region contains a plurality of layers of sub-regions and sub-regions, the social maps generated by each layer are integrated to obtain a multi-level social map.

For example, when a multi-level social map display is performed, an area of a certain level is correspondingly displayed according to a currently displayed scale. If the map is displayed on the minimum scale, only the map under the highest level area division level is displayed; at the maximum scale, a map of the minimum cell level is displayed.

As shown in fig. 3, the method may be performed by, for example, a server 310 and a client 320. The server 310 includes a storage module 311 and a map processing module 312, and the client 320 includes a social module 321 and a user behavior collection module 322.

According to an embodiment of the present disclosure, the storage module 311 stores user data, map data, and social information data. The map processing module 312 obtains the map data in the storage module 311, and pre-processes the map, that is, divides the map into a plurality of minimum units according to a fixed size, and generates the area unit information. And then, performing area division according to the area unit information to generate a plurality of areas. The social module 321 obtains the map data processed by the map processing module 312 for displaying, and the user issues and interacts social information according to the social module 321. The user behavior collection module 322 collects the active behavior or the passive behavior of the user to generate user data. The storage module 311 obtains the user data for storage, and feeds the user data back to the map processing module 312 for map rendering.

According to the embodiment of the disclosure, the active behavior of the user may include, for example, social information actively published by the user, or interaction information among different users, where the interaction information includes praise information, comment information, forwarding information, and the like. The passive behavior of the user may include, for example, information other than social information actively posted by the user. For example, a user stays in a certain place for a long time or periodically makes a round trip between several places, etc.

According to the embodiment of the disclosure, the user behavior acquisition module 322 stores the data in the minimum unit after acquiring the passive behavior information of the user, generates private label information, and displays the private label information on the terminal of the user.

It should be noted that, unless explicitly stated that there is an execution sequence between different operations or there is an execution sequence between different operations in technical implementation, the execution sequence between multiple operations may not be sequential, or multiple operations may be executed simultaneously in the flowchart in this disclosure.

As shown in fig. 4, the social information processing system 400 includes an acquisition module 401, a first determination module 402, a first addition module 403, a second determination module 404, and a first rendering module 405.

The obtaining module 401 is configured to obtain social information of users, where the social information of each user includes content information and location information associated with the content information.

A first determining module 402, configured to determine a target area associated with the social information in the plurality of areas according to the location information.

A first adding module 403, configured to add tag information determined according to the content information to an area tag set corresponding to the target area, where the area tag set includes a plurality of tag information.

A second determining module 404, configured to determine target area tag information of the target area according to the area tag set.

The first rendering module 405 is configured to perform rendering processing on the target area according to the target area tag information, and generate an area-level social map.

According to the embodiment of the disclosure, by acquiring content information and location information in social information of a user, a target area associated with the social information is determined according to the location information. And then adding the tag information which is associated with the content information to an area tag set which is associated with the target area, finally determining the target tag information in the area tag set, rendering the target area according to the target tag information, and generating the area-level social map. The area-level social map is determined according to the content information and the position information associated with the social information of the user, so that the social activities in the preset area can be systematically recorded by a system of the area-level social map, and the diversity of network social is increased. According to an embodiment of the present disclosure, the first determination module 402 includes a first determination unit.

And the first determining unit is used for determining a target area associated with the social information according to the longitude and latitude information of the position information and the longitude and latitude range information of each area.

According to an embodiment of the present disclosure, the second determining module 404 includes a first obtaining unit, a sorting unit, and a second determining unit.

The first obtaining unit is used for obtaining interaction information of each tag information in the regional tag set, wherein the interaction information comprises approval information and comment information.

And the sequencing unit is used for sequencing each label information in the area label set according to the interaction information to generate a first label sequence.

And the second determining unit is used for determining the label information with the highest priority in the first label sequence as the target area label information.

According to an embodiment of the present disclosure, the first rendering module 405 includes a second obtaining unit and a rendering unit.

And the second acquisition unit is used for acquiring the identification mark corresponding to the target area label information.

And the rendering unit is used for rendering the target area according to the identification mark and generating an area-level social map.

According to an embodiment of the present disclosure, the first adding module 403 includes a third obtaining unit and a response unit.

A third acquisition unit configured to acquire a tag selection operation associated with the content information.

And the response unit is used for responding to the label selection operation and determining the label information.

According to an embodiment of the present disclosure, the first adding module 403 further includes a fourth obtaining unit and a third determining unit.

And the fourth acquisition unit acquires the keyword information in the content information through a language identification algorithm.

And a third determining unit that determines the keyword information as the tag information.

According to an embodiment of the present disclosure, the social information processing system 400 further includes a third determination module, a second addition module, a fourth determination module, and a second rendering module.

And the third determining module is used for determining a target area unit associated with the social information according to the position information.

And a second adding module, configured to add tag information determined according to the content information to a unit tag set associated with the target area unit, where the unit tag set includes a plurality of tag information.

And the fourth determining module is used for determining the target area unit label information of the target area unit according to the unit label set.

And the second rendering module is used for rendering the area units according to the target unit area label information to generate the area unit level social map.

According to an embodiment of the present disclosure, the social information processing system 400 further includes a third rendering module.

And the third rendering module is used for rendering the region level social map and the unit level social map to generate a multi-level social map.

Any number of modules, sub-modules, units, sub-units, or at least part of the functionality of any number thereof according to embodiments of the present disclosure may be implemented in one module. Any one or more of the modules, sub-modules, units, and sub-units according to the embodiments of the present disclosure may be implemented by being split into a plurality of modules. Any one or more of the modules, sub-modules, units, sub-units according to embodiments of the present disclosure may be implemented at least in part as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in any other reasonable manner of hardware or firmware by integrating or packaging a circuit, or in any one of or a suitable combination of software, hardware, and firmware implementations. Alternatively, one or more of the modules, sub-modules, units, sub-units according to embodiments of the disclosure may be at least partially implemented as a computer program module, which when executed may perform the corresponding functions.

For example, any plurality of the obtaining module 401, the first determining module 402, the first adding module 403, the second determining module 404 and the first rendering module 405 may be combined and implemented in one module/unit/sub-unit, or any one of the modules/units/sub-units may be split into a plurality of modules/units/sub-units. Alternatively, at least part of the functionality of one or more of these modules/units/sub-units may be combined with at least part of the functionality of other modules/units/sub-units and implemented in one module/unit/sub-unit. According to an embodiment of the present disclosure, at least one of the obtaining module 401, the first determining module 402, the first adding module 403, the second determining module 404, and the first rendering module 405 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented by hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or implemented by any one of three implementations of software, hardware, and firmware, or by a suitable combination of any several of them. Alternatively, at least one of the obtaining module 401, the first determining module 402, the first adding module 403, the second determining module 404 and the first rendering module 405 may be at least partially implemented as a computer program module, which when executed, may perform a corresponding function.

It should be noted that, the social information processing system part in the embodiment of the present disclosure corresponds to the social information processing method part in the embodiment of the present disclosure, and the description of the social information processing system part specifically refers to the social information processing method part, which is not described herein again.

Fig. 5 schematically illustrates a block diagram of a computer system suitable for implementing the above-described method according to an embodiment of the present disclosure. The computer system illustrated in FIG. 5 is only one example and should not impose any limitations on the scope of use or functionality of embodiments of the disclosure.

As shown in fig. 5, a computer system 500 according to an embodiment of the present disclosure includes a processor 501, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage section 508 into a Random Access Memory (RAM) 503. The processor 501 may comprise, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or associated chipset, and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), among others. The processor 501 may also include onboard memory for caching purposes. Processor 501 may include a single processing unit or multiple processing units for performing different actions of a method flow according to embodiments of the disclosure.

In the RAM 503, various programs and data necessary for the operation of the system 500 are stored. The processor 501, the ROM 502, and the RAM 503 are connected to each other by a bus 504. The processor 501 performs various operations of the method flows according to the embodiments of the present disclosure by executing programs in the ROM 502 and/or the RAM 503. Note that the programs may also be stored in one or more memories other than the ROM 502 and the RAM 503. The processor 501 may also perform various operations of method flows according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the present disclosure, system 500 may also include an input/output (I/O) interface 505, input/output (I/O) interface 505 also being connected to bus 504. The system 500 may also include one or more of the following components connected to the I/O interface 505: an input portion 506 including a keyboard, a mouse, and the like; an output portion 507 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 508 including a hard disk and the like; and a communication section 509 including a network interface card such as a LAN card, a modem, or the like. The communication section 509 performs communication processing via a network such as the internet. The driver 510 is also connected to the I/O interface 505 as necessary. A removable medium 511 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 510 as necessary, so that a computer program read out therefrom is mounted into the storage section 508 as necessary.

According to embodiments of the present disclosure, method flows according to embodiments of the present disclosure may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 509, and/or installed from the removable medium 511. The computer program, when executed by the processor 501, performs the above-described functions defined in the system of the embodiments of the present disclosure. The systems, devices, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

The present disclosure also provides a computer-readable storage medium, which may be contained in the apparatus/device/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The computer-readable storage medium carries one or more programs which, when executed, implement the method according to an embodiment of the disclosure.

According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. Examples may include, but are not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

For example, according to embodiments of the present disclosure, a computer-readable storage medium may include ROM 502 and/or RAM 503 and/or one or more memories other than ROM 502 and RAM 503 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the method provided by the embodiments of the present disclosure, when the computer program product is run on an electronic device, the program code being configured to cause the electronic device to implement the social information processing method provided by the embodiments of the present disclosure.

The computer program, when executed by the processor 501, performs the above-described functions defined in the system/apparatus of the embodiments of the present disclosure. The systems, apparatuses, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the present disclosure.

In one embodiment, the computer program may be hosted on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program may also be transmitted, distributed in the form of a signal on a network medium, downloaded and installed through the communication section 509, and/or installed from the removable medium 511. The computer program containing program code may be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In accordance with embodiments of the present disclosure, program code for executing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, these computer programs may be implemented using high level procedural and/or object oriented programming languages, and/or assembly/machine languages. The programming language includes, but is not limited to, programming languages such as Java, C + +, python, the "C" language, or the like. The program code may execute entirely on the user computing device, partly on the user device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. Those skilled in the art will appreciate that various combinations and/or combinations of features recited in the various embodiments and/or claims of the present disclosure can be made, even if such combinations or combinations are not expressly recited in the present disclosure. In particular, various combinations and/or combinations of the features recited in the various embodiments and/or claims of the present disclosure may be made without departing from the spirit or teaching of the present disclosure. All such combinations and/or associations are within the scope of the present disclosure.

The embodiments of the present disclosure have been described above. However, these examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described separately above, this does not mean that the measures in the embodiments cannot be used in advantageous combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be devised by those skilled in the art without departing from the scope of the present disclosure, and such alternatives and modifications are intended to be within the scope of the present disclosure.

Claims

1. A social information processing method, comprising:

2. The method of claim 1, wherein the determining a target area associated with the social information among a plurality of areas according to the location information comprises:

3. The method of claim 1, wherein the determining target area tag information for the target area from the area tag set comprises:

4. The method of claim 1, wherein each of the target area tag information corresponds to an identification, wherein the identification comprises a color identification;

5. The method of claim 1, wherein determining the tag information from the content information comprises:

acquiring a tag selection operation associated with the content information;

determining the tag information in response to the tag selection operation; or

and determining the keyword information as the tag information.

6. The method of claim 1, wherein the target area comprises at least one area unit, the method further comprising:

7. The method of claim 6, further comprising:

8. A social information processing system comprising:

9. An electronic device, comprising:

one or more processors;

a memory to store one or more instructions that,

wherein the one or more instructions, when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-7.

10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to carry out the method of any one of claims 1 to 7.

11. A computer program product comprising computer executable instructions for implementing the method of any one of claims 1 to 7 when executed.