CN113111114A - Data processing method, device, medium and electronic equipment based on social network - Google Patents
Data processing method, device, medium and electronic equipment based on social network Download PDFInfo
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Abstract
The application provides a data processing method, a data processing device, a data processing medium and electronic equipment based on a social network, wherein the method comprises the following steps: binding the network software with the SDK for data acquisition; acquiring user dynamic information of the social network software according to the operation behavior of a network software user; analyzing the user dynamic information to generate a user node; and connecting different user nodes according to the user dynamic information to generate a user relationship data structure. According to the data processing method based on the social network, the network software and the SDK are bound to obtain the user dynamic information on the network, and different user nodes are connected by taking the user nodes as units, so that the defect of low relevance of user operation data in the prior art is overcome, data related to the influence applying capacity and the influence degree are added among the user nodes, and the effectiveness of the user operation data is improved.
Description
Technical Field
The application relates to a data processing method, a data processing device, a storage medium and electronic equipment, and also relates to a data processing method, a data processing device, a storage medium and electronic equipment based on a social network.
Background
With the development of internet technology and the maturation of application software, social networking is becoming more and more important in the business field. In particular, from the perspective of the business model, previous sales of goods have stayed to provide users with convenient services through an online shopping platform, so that users can shop quickly and conveniently. However, with the development of social networks, the online shopping platform not only passively waits for a user to download the online shopping platform, but then makes a purchase through the online shopping platform; and based on the user operation data of the social network, actively pushing the online shopping platform to the specific user, so that the specific user can shop through the online shopping platform. Similarly, based on the user operation data of the social network, business information such as product information, activity information and the like can be pushed to a specific user, so that the corresponding business purpose is achieved.
However, because the user operation data of the social network has diversity, the data is complicated in type and large in redundancy, and the relevance and the effectiveness of the user operation data are low.
Disclosure of Invention
The invention aims to provide a data processing method, a data processing device and a storage medium based on a social network, and aims to solve the problems of low relevance and low effectiveness of user operation data in the prior art.
In order to achieve the purpose of the present application, a data processing method based on a social network is provided, which includes: binding the network software with the SDK for data acquisition; acquiring user dynamic information of the social network software according to the operation behavior of a network software user; analyzing the user dynamic information to generate a user node; and connecting different user nodes according to the user dynamic information to generate a user relationship data structure.
According to an embodiment of the application, the network software includes: social software or shopping platform software.
According to an embodiment of the present application, the step of obtaining the user dynamic information of the social networking software according to the operation behavior of the network software user includes: and acquiring user dynamic information of the social network software according to the sharing behavior of the network software user, and/or acquiring user dynamic information of the social network software according to the browsing behavior of the network software user.
According to an embodiment of the present application, when the operation behavior is a sharing behavior, the user dynamic information includes: user identity information, sharing time information, network software information for sharing, sharing content information or reference relationship information; when the operation behavior is a browsing behavior, the user dynamic information includes: user identity information, browsing time information, browsing content information, or reference relationship information.
According to an embodiment of the application, the method further comprises: and performing characteristic analysis on the user relationship data structure to generate a target circle layer data structure.
According to an embodiment of the present application, the step of performing feature analysis on the user relationship data structure includes: and performing characteristic analysis on the user relationship data structure according to the shared content information or the browsing content information.
According to an embodiment of the application, the method further comprises: and arranging the data structure of the target layer to generate core user node data.
According to an embodiment of the present application, the step of arranging the target circle layer data structure includes: arranging the target circle layer data structure according to the sharing time information or the browsing time information; or the target circle layer data structures are arranged according to the browsing behavior times corresponding to the sharing behaviors.
In order to achieve the object of the present application, there is provided a data processing apparatus based on a social network, including: the installation module is used for binding the network software with the SDK for data acquisition; the acquisition module is used for acquiring user dynamic information of the social network software according to the operation behavior of a network software user; the first generation module is used for analyzing the user dynamic information to generate a user node; and the connection module is used for connecting different user nodes according to the user dynamic information so as to generate a user relationship data structure.
According to an embodiment of the application, the network software includes: social software or shopping platform software.
According to an embodiment of the application, the operational behavior includes: sharing behavior and/or browsing behavior.
According to an embodiment of the present application, when the operation behavior is a sharing behavior, the user dynamic information includes: user identity information, sharing time information, network software information for sharing, sharing content information or reference relationship information; when the operation behavior is a browsing behavior, the user dynamic information includes: user identity information, browsing time information, browsing content information, or reference relationship information.
According to an embodiment of the present application, the apparatus further comprises: and the second generation module is used for performing feature analysis on the user relationship data structure to generate a target circle layer data structure.
According to an embodiment of the application, the second generating module is configured to perform feature analysis on the user relationship data structure according to the shared content information or the browsing content information.
According to an embodiment of the present application, the apparatus further comprises: and the third generation module is used for arranging the target layer data structure to generate core user node data.
According to an embodiment of the present application, the third generating module is configured to arrange the target layer data structure according to the sharing time information or the browsing time information; or the target circle layer data structure is arranged according to the browsing behavior frequency corresponding to the sharing behavior.
To achieve the object of the present application, a computer-readable storage medium is provided for storing computer program instructions which, when executed by a processor, implement a social network based data processing method according to the present application.
To achieve the object of the present application, an electronic device is provided, which includes a memory for storing one or more computer program instructions and a processor, wherein the one or more computer program instructions are executed by the processor to implement the data processing method based on social network according to the present application.
According to the data processing method based on the social network, the network software and the SDK are bound to obtain the user dynamic information on the network, and different user nodes are connected by taking the user nodes as units, so that the defect of low relevance of user operation data in the prior art is overcome, data related to the influence applying capacity and the influence degree are added among the user nodes, and the effectiveness of the user operation data is improved.
According to the data processing device based on the social network, the network software and the SDK are bound to obtain the user dynamic information on the network, and different user nodes are connected by taking the user nodes as units, so that the defect of low relevance of user operation data in the prior art is overcome, data related to the influence applying capacity and the influence degree are added among the user nodes, and the effectiveness of the user operation data is improved.
Drawings
Fig. 1 is a schematic flowchart of a data processing method based on a social network according to an embodiment of the present disclosure.
Fig. 2 is a schematic flowchart of a data processing method based on a social network according to another embodiment of the present disclosure.
Fig. 3 is a schematic flowchart of a data processing method based on a social network according to still another embodiment of the present application.
Fig. 4 is a schematic view of a target circle data structure of a data processing method based on a social network according to still another embodiment of the present application.
Fig. 5 is a block diagram of a data processing apparatus based on a social network according to an embodiment of the present disclosure.
Fig. 6 is a block diagram of a data processing apparatus based on a social network according to another embodiment of the present disclosure.
Fig. 7 is a block diagram of a data processing apparatus based on a social network according to still another embodiment of the present application.
Fig. 8 is a schematic structural diagram of an electronic device for implementing the social network-based data processing method of the present application.
Detailed Description
For a better understanding of the present application, various aspects of the present application will be described in more detail with reference to the accompanying drawings. It should be understood that the detailed description is merely illustrative of exemplary embodiments of the present application and does not limit the scope of the present application in any way. Like reference numerals refer to like elements throughout the specification. The expression "and/or" includes any and all combinations of one or more of the associated listed items.
In the drawings, the size, dimension, and shape of elements have been slightly adjusted for convenience of explanation. The figures are purely diagrammatic and not drawn to scale. As used herein, the terms "approximately", "about" and the like are used as table-approximating terms and not as table-degree terms, and are intended to account for inherent deviations in measured or calculated values that would be recognized by one of ordinary skill in the art. In addition, in the present application, the order in which the processes of the respective steps are described does not necessarily indicate an order in which the processes occur in actual operation, unless explicitly defined otherwise or can be inferred from the context.
It will be further understood that terms such as "comprising," "including," "having," "including," and/or "containing," when used in this specification, are open-ended and not closed-ended, and specify the presence of stated features, elements, and/or components, but do not preclude the presence or addition of one or more other features, elements, components, and/or groups thereof. Furthermore, when a statement such as "at least one of" appears after a list of listed features, it modifies that entire list of features rather than just individual elements in the list. Furthermore, when describing embodiments of the present application, the use of "may" mean "one or more embodiments of the present application. Also, the term "exemplary" is intended to refer to an example or illustration.
Unless otherwise defined, all terms (including engineering and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
In addition, the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Fig. 1 is a schematic flowchart of a data processing method based on a social network according to an embodiment of the present disclosure. As shown in fig. 1, a data processing method based on a social network according to an embodiment of the present application may include:
102, acquiring user dynamic information of the social network software according to the operation behavior of a network software user;
103, analyzing the user dynamic information to generate a user node; and
and 104, connecting different user nodes according to the user dynamic information to generate a user relationship data structure.
According to the data processing method based on the social network, the network software and the SDK are bound to obtain the user dynamic information on the network, and different user nodes are connected by taking the user nodes as units, so that the defect of low relevance of user operation data in the prior art is overcome, data related to the influence applying capacity and the influence degree are added among the user nodes, and the effectiveness of the user operation data is improved.
In the data processing method based on the social network in an embodiment of the present application, the network software may be software with a sharing function, such as software with functions of article sharing, poster sharing, coupon sharing, user interest sharing, and the like. The network software may include: social software such as WeChat, nail, flybook, twitter, facebook, and the like. When the network software is social software, more information about the interpersonal relationship can be acquired, such as sharing behavior, browsing behavior, chatting behavior, and the like. The network software may further include: shopping platform software such as Taobao, Tamao, Kyoto, Amazon, etc. When the network software is shopping platform software, more information about commercial behaviors, such as purchasing behaviors, promotion behaviors and the like, can be acquired.
In an embodiment of the data processing method based on a social network, the step (step 102) of obtaining user dynamic information of the social network software according to an operation behavior of a network software user may include: and acquiring user dynamic information of the social network software according to the sharing behavior of the network software user. At this time, the user dynamic information may include: at least one of user identity information, sharing time information, network software information for sharing, sharing content information, and reference relationship information. The user identity information may include: sharing a user ID, a user account, a user nickname, and the like; the network software information used for sharing can comprise WeChat, nail, flybook, twitter, facebook and the like, or can also comprise shopping platform software with a social function; sharing content information may include: promotional activity information, purchase information, etc.; the reference relationship information may include: browsing user information, such as browsing user ID, browsing user account, browsing user nickname, etc.
In an embodiment of the data processing method based on a social network, the step (step 102) of obtaining user dynamic information of the social network software according to an operation behavior of a network software user may further include: and acquiring the user dynamic information of the social network software according to the browsing behavior of the network software user. At this time, the user dynamic information may include: user identity information, browsing time information, browsing content information, or reference relationship information. The user identity information may include: browsing user ID, browsing user account, browsing user nickname, etc.; browsing the content information may include: promotional activity information, purchase information, etc.; the reference relationship information may include: and sharing user information, such as sharing a visiting user ID, sharing a user account, sharing a user nickname, and the like.
According to the data processing method based on the social network, the corresponding reference relationship information is obtained according to the sharing behavior and the browsing behavior of the user, and different user nodes are connected according to the reference relationship information, so that the information flow transfer path between the user nodes can be known, and further the user nodes which are relatively more influential in the user relationship data structure can be known.
Fig. 2 is a schematic flowchart of a data processing method based on a social network according to another embodiment of the present disclosure. As shown in fig. 2, a data processing method based on a social network according to another embodiment of the present application may include:
step 202, acquiring user dynamic information of the social network software according to the operation behavior of a network software user;
step 204, connecting different user nodes according to the user dynamic information to generate a user relationship data structure; and
step 205, performing feature analysis on the user relationship data structure to generate a target circle layer data structure.
In another embodiment of the data processing method based on a social network, the step of performing feature analysis on the user relationship data structure (step 205) may be: and performing characteristic analysis on the user relationship data structure according to the shared content information or the browsing content information.
According to the data processing method based on the social network, the target circle layer data structure is generated by performing feature analysis on the user relationship data structure, specifically, the user circle layer which likes clothes, the user circle layer which likes automobiles and the user circle layer which likes books are arranged in the user relationship data structure, so that the requirements and preferences of the target circle layer data structure tend to be the same, and the effectiveness of user operation data is improved.
Fig. 3 is a schematic flowchart of a data processing method based on a social network according to still another embodiment of the present application. As shown in fig. 3, a data processing method based on a social network according to still another embodiment of the present application may include:
step 304, connecting different user nodes according to the user dynamic information to generate a user relationship data structure;
305, performing characteristic analysis on the user relationship data structure to generate a target circle layer data structure; and
step 306, arranging the target layer data structure to generate core user node data.
In another embodiment of the data processing method based on a social network, the step of arranging the target circle data structure (step 306) may be: and arranging the target circle layer data structure according to the sharing time information or the browsing time information.
According to the data processing method based on the social network, the target circle layer data structure is arranged according to the sharing time information or the browsing time information, so that the user nodes can be known to agree with the shared content or the browsing content relatively in the target circle layer data structure, and the effectiveness of the user operation data can be further improved.
In another embodiment of the data processing method based on a social network, the step of arranging the target circle data structure (step 306) may be: and arranging the data structure of the target circle layer according to the browsing behavior frequency corresponding to the sharing behavior.
According to the data processing method based on the social network, the target circle layer data structure is arranged according to the browsing behavior times corresponding to the sharing behaviors, so that user nodes with relatively larger influence can be known in the target circle layer data structure, and the effectiveness of user operation data can be further improved.
Fig. 4 is a schematic view of a target circle data structure of a data processing method based on a social network according to still another embodiment of the present application. As shown in fig. 4, after steps 301 to 305 of the data processing method based on social network according to still another embodiment of the present application, a target circle data structure is generated. In fig. 4, 4 user nodes are labeled, namely a first user node 401, a second user node 402, a third user node 403, and a fourth user node 404; where the ray at each user node represents a sharing behavior and the solid circle at the end of the ray represents a browsing behavior. Specifically, the first user node 401 implements 8 sharing behaviors, wherein one sharing behavior is shared with the second user node 402, and the second user node 402 implements a browsing behavior; there is also one sharing to the third user node 403 and the third user node 403 implements the browsing behavior. The second user node 402 performs the sharing operation 6 times, the third user node 403 performs the sharing operation 3 times, and the fourth user node 404 performs the sharing operation 3 times.
At this time, according to the analysis performed by the reference relationship information, the first target circle layer data structure 41 composed of the first user node 401, the second user grounding node 402, and the third user node 403, and the second target circle layer data structure 42 composed of the fourth user node 404 can be generated.
In the first target tier data structure 41, the user node with the largest browsing behavior frequency corresponding to the sharing behavior is the first user node 401; in the second target tier data structure 42, the user node having the largest number of browsing behaviors corresponding to the sharing behavior is the fourth user node 404. Therefore, in the whole user relationship data structure, when information is pushed to the first user node and the fourth user node, the coverage of the pushed information is the largest, namely the most effective.
In yet another embodiment of the present application, a data processing method based on a social network is provided. Although four user nodes are exemplified, the number of user nodes may be infinite in practice. And although one node with the largest browsing times is selected in the target circle data structure, the top 10 or 20 ranked browsing times can be selected according to actual requirements. Those skilled in the art will appreciate that the selection of the number of rankings is related to the number of user nodes, i.e., the greater the number of user nodes, the more user nodes need to be selected.
Fig. 5 is a block diagram of a data processing apparatus based on a social network according to an embodiment of the present disclosure. As shown in fig. 5, a social network based data processing apparatus 500 according to an embodiment of the present application may include:
an installation module 51, configured to bind the network software with the SDK for data acquisition;
the obtaining module 52 is configured to obtain user dynamic information of the social network software according to an operation behavior of a network software user;
a first generating module 53, configured to analyze the user dynamic information to generate a user node; and
a connection module 54, configured to connect different user nodes according to the user dynamic information, so as to generate a user relationship data structure.
According to the data processing device based on the social network, the network software and the SDK are bound to obtain the user dynamic information on the network, and different user nodes are connected by taking the user nodes as units, so that the defect of low relevance of user operation data in the prior art is overcome, data related to the influence applying capacity and the influence degree are added among the user nodes, and the effectiveness of the user operation data is improved.
In an embodiment of the application, in the data processing apparatus based on a social network, the network software may be software having a sharing function, such as software having functions of article sharing, poster sharing, coupon sharing, user interest sharing, and the like. The network software may include: social software such as WeChat, nail, flybook, twitter, facebook, and the like. When the network software is social software, more information about the interpersonal relationship can be acquired, such as sharing behavior, browsing behavior, chatting behavior, and the like. The network software may further include: shopping platform software such as Taobao, Tamao, Kyoto, Amazon, etc. When the network software is shopping platform software, more information about commercial behaviors, such as purchasing behaviors, promotion behaviors and the like, can be acquired.
In an embodiment of the data processing apparatus based on a social network, the operation behavior of the user according to the network software may include: sharing behavior of the network software users. At this time, the user dynamic information may include: at least one of user identity information, sharing time information, network software information for sharing, sharing content information, and reference relationship information. The user identity information may include: sharing a user ID, a user account, a user nickname, and the like; the network software information used for sharing can comprise WeChat, nail, flybook, twitter, facebook and the like, or can also comprise shopping platform software with a social function; sharing content information may include: promotional activity information, purchase information, etc.; the reference relationship information may include: browsing user information, such as browsing user ID, browsing user account, browsing user nickname, etc.
In an embodiment of the data processing apparatus based on a social network, the operation behavior of the user according to the network software may further include: according to the browsing behavior of the network software user. At this time, the user dynamic information may include: user identity information, browsing time information, browsing content information, or reference relationship information. The user identity information may include: browsing user ID, browsing user account, browsing user nickname, etc.; browsing the content information may include: promotional activity information, purchase information, etc.; the reference relationship information may include: and sharing user information, such as sharing a visiting user ID, sharing a user account, sharing a user nickname, and the like.
Fig. 6 is a block diagram of a data processing apparatus based on a social network according to another embodiment of the present disclosure. As shown in fig. 6, a social network based data processing apparatus 600 according to another embodiment of the present application may include:
the installation module 61 is used for binding the network software with the SDK for data acquisition;
the obtaining module 62 is configured to obtain user dynamic information of the social network software according to an operation behavior of a network software user;
the first generating module 63 is configured to analyze the user dynamic information to generate a user node;
a connection module 64, configured to connect different user nodes according to the user dynamic information to generate a user relationship data structure; and
a second generating module 65, configured to perform feature analysis on the user relationship data structure, and generate a target circle layer data structure.
The installation module 61, the obtaining module 62, the first generation module 63, and the connection module 64 of the data processing device based on a social network according to another embodiment of the present application are similar to the installation module 51, the obtaining module 52, the first generation module 53, and the connection module 54 of the data processing device based on a social network according to an embodiment of the present application, and therefore, are not described again.
In another embodiment of the present application, in the data processing apparatus based on a social network, the second generating module 65 is configured to perform feature analysis on the user relationship data structure according to the shared content information or the browsing content information.
According to the data processing device based on the social network, the target circle layer data structure is generated by performing feature analysis on the user relationship data structure, specifically, the user circle layer which likes clothes, the user circle layer which likes automobiles and the user circle layer which likes books are included in the user relationship data structure, so that the requirements and preferences of the target circle layer data structure tend to be the same, and the effectiveness of user operation data is improved.
Fig. 7 is a block diagram of a data processing apparatus based on a social network according to still another embodiment of the present application. As shown in fig. 7, a social network-based data processing apparatus 700 according to still another embodiment of the present application may include:
an installation module 71, configured to bind the network software with the SDK for data acquisition;
the obtaining module 72 is configured to obtain user dynamic information of the social network software according to an operation behavior of a network software user;
a first generating module 73, configured to analyze the user dynamic information to generate a user node;
a connection module 74, configured to connect different user nodes according to the user dynamic information to generate a user relationship data structure;
a second generating module 75, configured to perform feature analysis on the user relationship data structure to generate a target circle layer data structure; and
a third generating module 76 is configured to arrange the target circle layer data structure to generate core user node data.
The installation module 71, the obtaining module 72, the first generation module 73, the connection module 74, and the second generation module 75 of the data processing device based on a social network according to yet another embodiment of the present application are similar to the installation module 61, the obtaining module 62, the first generation module 63, the connection module 64, and the second generation module 65 of the data processing device based on a social network according to another embodiment of the present application, and therefore, are not repeated.
In a data processing apparatus based on a social network according to still another embodiment of the present application, the third generating module 76 may be configured to arrange the target circle layer data structure according to the sharing time information or the browsing time information.
According to the data processing device based on the social network, the target circle layer data structure is arranged according to the sharing time information or the browsing time information, so that the user nodes can be known to relatively agree with the shared content or the browsing content in the target circle layer data structure, and the effectiveness of the user operation data can be further improved.
In a data processing apparatus based on a social network according to still another embodiment of the present application, the third generating module 76 may be configured to arrange the target circle data structure according to the browsing behavior frequency corresponding to the sharing behavior.
According to the data processing device based on the social network, the target circle layer data structure is arranged according to the browsing behavior times corresponding to the sharing behaviors, so that user nodes with relatively larger influence can be known in the target circle layer data structure, and the effectiveness of user operation data can be further improved.
Fig. 8 is a schematic structural diagram of an electronic device for implementing the social network-based data processing method of the present application. The electronic device of the present embodiment may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle-mounted terminal (e.g., a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like.
As shown in fig. 8, electronic device 800 may include at least a portion of a processing means 801, a Read Only Memory (ROM)802, a Random Access Memory (RAM)803, a bus 804, an input/output interface 805, an input means 806, an output means 807, a storage means 808, and a communication means 809.
The processing device 801 may be a central processing unit, a graphics processing unit, or the like, and may perform various corresponding actions and processes according to a program stored in the read only memory 802 or a program loaded from the storage device 808 into the random access memory 803.
The processing device 801, the read only memory 802 and the random access memory 803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is connected to bus 804.
The input/output interface 805 may be connected to an input device 806, an output device 807, a storage device 808, and a communication device 809. Among other things, the input device 806 may include: touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc. The output device 807 may include: liquid Crystal Displays (LCDs), speakers, vibrators, and the like. The storage 808 may include: magnetic tape, hard disk, etc. And a communication device 809 for the electronic device 800 to perform wireless or wired communication with other devices to exchange data.
In particular, the steps illustrated in the flow charts of the method embodiments according to the present application may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program comprising program code for performing the steps illustrated in the flowchart. In such embodiments, the computer program may be downloaded and installed from a network via the communication means 809, or read and installed from the storage means 808, or read and installed from the read-only memory 802. The computer program, when executed by the processing apparatus 801, performs the above-described functions defined in the methods of the embodiments of the present application. It should be noted that the computer readable storage medium described in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, 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), an optical fiber, 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 embodiments of the application, 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. In embodiments of the present application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable storage medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer-readable storage medium may be included in the electronic device; or may exist separately without being assembled into the electronic device. The computer readable storage medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: in response to receiving the problem to be identified, identifying the slot position in the problem by adopting at least two identification algorithms to obtain at least two slot position result sets; constructing at least two candidate paths according to the position conflict relationship of each slot position result in the at least two slot position result sets in the problem; for each candidate path, scoring each slot position result in the candidate path, and calculating the sum of scores of each slot position result in the candidate path as the slot position score of the candidate path; and outputting a slot result included by the candidate path with the highest slot score.
Computer program code for carrying out operations for embodiments of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the other devices through any kind of network, in particular, through a local area network or a wide area network to the user's computer, or through the internet to external computers.
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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/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.
The units/modules referred to in the embodiments of the present application may be implemented by software or hardware. The described units/modules may also be provided in a processor, and may be described as: a processor includes an identification unit, a construction unit, a scoring unit, and an output unit. Where the names of these elements do not in some cases constitute a limitation on the elements themselves, for example, an identifying element may also be described as an element that, in response to receiving a question to be identified, identifies a slot in the question using at least two identification algorithms, resulting in at least two slot result sets.
The objects, technical solutions and advantageous effects of the present invention are further described in detail with reference to the above-described embodiments. It should be understood that the above description is only a specific embodiment of the present invention, and is not intended to limit the present invention. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.
Claims (18)
1. A data processing method based on a social network is characterized by comprising the following steps:
binding the network software with the SDK for data acquisition;
acquiring user dynamic information of the social network software according to the operation behavior of a network software user;
analyzing the user dynamic information to generate a user node;
and connecting different user nodes according to the user dynamic information to generate a user relationship data structure.
2. The social network-based data processing method of claim 1, wherein the network software comprises:
social software or shopping platform software.
3. The data processing method based on the social network as claimed in claim 1, wherein the step of obtaining the user dynamic information of the social network software according to the operation behavior of the user of the network software comprises:
obtaining user dynamic information of the social network software according to sharing behaviors of network software users, and/or
And acquiring the user dynamic information of the social network software according to the browsing behavior of the network software user.
4. The data processing method based on the social network as claimed in claim 3, wherein when the operation behavior is a sharing behavior, the user dynamic information includes:
user identity information, sharing time information, network software information for sharing, sharing content information or reference relationship information;
when the operation behavior is a browsing behavior, the user dynamic information includes:
user identity information, browsing time information, browsing content information, or reference relationship information.
5. The social network-based data processing method of claim 4, further comprising:
and performing characteristic analysis on the user relationship data structure to generate a target circle layer data structure.
6. The social network-based data processing method of claim 5, wherein the step of performing feature analysis on the user relationship data structure comprises:
and performing characteristic analysis on the user relationship data structure according to the shared content information or the browsing content information.
7. The social network-based data processing method of claim 5, further comprising:
and arranging the data structure of the target layer to generate core user node data.
8. The social network-based data processing method of claim 7, wherein the step of arranging the target circle data structure comprises:
arranging the target circle layer data structure according to the sharing time information or the browsing time information; or
And arranging the data structure of the target circle layer according to the browsing behavior frequency corresponding to the sharing behavior.
9. A data processing apparatus based on a social network, comprising:
the installation module is used for binding the network software with the SDK for data acquisition;
the acquisition module is used for acquiring user dynamic information of the social network software according to the operation behavior of a network software user;
the first generation module is used for analyzing the user dynamic information to generate a user node;
and the connection module is used for connecting different user nodes according to the user dynamic information so as to generate a user relationship data structure.
10. A social network based data processing apparatus according to claim 9, wherein said networking software comprises:
social software or shopping platform software.
11. The social network-based data processing apparatus of claim 9, wherein the operational behavior comprises:
sharing behavior and/or browsing behavior.
12. The social network based data processing apparatus of claim 11,
when the operation behavior is a sharing behavior, the user dynamic information includes: user identity information, sharing time information, network software information for sharing, sharing content information or reference relationship information;
when the operation behavior is a browsing behavior, the user dynamic information includes: user identity information, browsing time information, browsing content information, or reference relationship information.
13. The social network-based data processing apparatus of claim 12, further comprising:
and the second generation module is used for performing feature analysis on the user relationship data structure to generate a target circle layer data structure.
14. The social network based data processing apparatus of claim 13,
the second generation module is configured to perform feature analysis on the user relationship data structure according to the shared content information or the browsing content information.
15. The social network-based data processing apparatus of claim 16, further comprising:
and the third generation module is used for arranging the target layer data structure to generate core user node data.
16. The social network based data processing apparatus of claim 15,
the third generating module is configured to arrange the target circle layer data structure according to the sharing time information or the browsing time information; or
And the target circle layer data structure is arranged according to the browsing behavior frequency corresponding to the sharing behavior.
17. A computer-readable storage medium storing computer program instructions for implementing the method according to any one of claims 1-8 when the computer program instructions are executed by a processor.
18. An electronic device comprising a memory and a processor, wherein the memory is configured to store one or more computer program instructions, wherein execution of the one or more computer program instructions by the processor implements the method of any of claims 1-8.
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