CN114090662A - User information processing method and service system based on virtual reality - Google Patents

User information processing method and service system based on virtual reality Download PDF

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Publication number
CN114090662A
CN114090662A CN202111488134.9A CN202111488134A CN114090662A CN 114090662 A CN114090662 A CN 114090662A CN 202111488134 A CN202111488134 A CN 202111488134A CN 114090662 A CN114090662 A CN 114090662A
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information
virtual scene
processed
pieces
virtual
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CN202111488134.9A
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张鑫
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Changshu Feimeng Information Technology Co Ltd
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Changshu Feimeng Information Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification

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  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Probability & Statistics with Applications (AREA)
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  • Computational Linguistics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The disclosure relates to a user information processing method and a service system based on virtual reality, wherein the method comprises the following steps: obtaining a plurality of pieces of virtual scene information; performing key information mining on the plurality of pieces of virtual scene information to obtain a plurality of virtual reality interaction events respectively corresponding to the plurality of pieces of virtual scene information; obtaining a plurality of pieces of target user information to be processed through the plurality of virtual reality interaction events; and analyzing the information of the target users to be processed to obtain the attributes of the information of the virtual scenes. Therefore, for a large amount of unmarked virtual scene information, classification can still be realized and relatively complete user information analysis results can be obtained.

Description

User information processing method and service system based on virtual reality
Technical Field
The present application relates to the field of VR and user information processing technologies, and in particular, to a user information processing method and a service system based on virtual reality.
Background
With the continuous development of social productivity and scientific technology, VR technology is increasingly in great demand in various industries. The VR technology has made great progress and gradually becomes a new scientific and technical field. However, in the practical application process, it is difficult to ensure the classification efficiency and the classification quality.
Disclosure of Invention
In order to solve the technical problems in the related art, the application provides a user information processing method and a service system based on virtual reality.
The application provides a user information processing method based on virtual reality, which comprises the following steps:
obtaining a plurality of pieces of virtual scene information; performing key information mining on the plurality of pieces of virtual scene information to obtain a plurality of virtual reality interaction events respectively corresponding to the plurality of pieces of virtual scene information;
obtaining a plurality of pieces of target user information to be processed through the plurality of virtual reality interaction events, wherein the target user information to be processed is a user classification condition to be processed; obtaining information of a plurality of target users to be processed through the plurality of virtual reality interaction events comprises the following steps: mining a thread and the virtual reality interaction events according to the key information to obtain virtual scene matching content; classifying the virtual scene matching content to obtain a plurality of pieces of target user information to be processed;
and analyzing the information of the target users to be processed to obtain the attributes of the information of the virtual scenes.
Preferably, the mining of key information of the plurality of pieces of virtual scene information to obtain a plurality of virtual reality interaction events respectively corresponding to the plurality of pieces of virtual scene information includes:
and performing key information mining on the plurality of pieces of virtual scene information according to a key information mining thread to obtain a plurality of virtual reality interaction events respectively corresponding to the plurality of pieces of virtual scene information.
Preferably, the method further comprises the following steps:
the key information mining thread performs feedback processing according to the first cost function to obtain a feedback-adjusted key information mining thread;
and classifying the virtual scene matching content through the feedback-adjusted key information mining thread to obtain the information of the target users to be processed.
Preferably, analyzing the target user information to be processed to obtain attributes of the virtual scene information, including:
and analyzing the information of the target users to be processed according to the classification analysis variables to obtain the attributes of the information of the virtual scenes.
Preferably, analyzing the target user information to be processed according to the classification analysis variables to obtain attributes of the virtual scene information, including:
and analyzing the target user information to be processed in the classification unit according to the classification analysis variables to obtain the attributes of the virtual scene information.
Preferably, analyzing the target user information to be processed in the classification unit according to the classification analysis variables to obtain attributes of the virtual scene information, including:
optimizing the classification analysis variables through the classification unit to obtain optimized classification analysis variables; and analyzing the target user information to be processed through the optimized classification analysis variables to obtain attributes of the virtual scene information.
Preferably, the classifying unit further comprises a classifying unit which performs feedback processing through the second cost function of the classifying unit to obtain a feedback-adjusted classifying unit; optimizing the classification analysis variables through the classification unit after feedback adjustment to obtain optimized classification analysis variables; and analyzing the target user information to be processed through the optimized classification analysis variables to obtain attributes of the virtual scene information.
The embodiment of the application also provides a user information processing service system, which comprises a memory, a processor and a network module; wherein the memory, the processor, and the network module are electrically connected directly or indirectly; the processor reads the computer program from the memory and runs the computer program to realize the method.
The technical scheme provided by the embodiment of the application can have the following beneficial effects.
In the embodiment of the disclosure, a plurality of pieces of virtual scene information are obtained; performing key information mining on the plurality of pieces of virtual scene information to obtain a plurality of virtual reality interaction events respectively corresponding to the plurality of pieces of virtual scene information; obtaining a plurality of pieces of target user information to be processed through the plurality of virtual reality interaction events; and analyzing the information of the target users to be processed to obtain the attributes of the information of the virtual scenes. Therefore, key information mining is carried out on a plurality of pieces of virtual scene information, a plurality of virtual reality interaction events can be obtained, classification operation of analyzing a plurality of pieces of target user information to be processed obtained by the plurality of virtual reality interaction events to obtain attributes of the virtual scene information is supervised and urged classification, classification can still be achieved on a large amount of virtual scene information without marks, and relatively complete user information analysis results can be obtained.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a user information processing method based on virtual reality according to an embodiment of the present application.
Fig. 2 is a schematic hardware structure diagram of a user information processing service system according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
Referring to fig. 1, an embodiment of the present application provides a flowchart of a user information processing method based on virtual reality, which is applied to a user information processing service system, and the method may specifically include the following technical solutions recorded in S10-S30.
S10, obtaining a plurality of pieces of virtual scene information; and performing key information mining on the plurality of pieces of virtual scene information to obtain a plurality of virtual reality interaction events respectively corresponding to the plurality of pieces of virtual scene information.
In an exemplary embodiment, the recorded key information mining on the pieces of virtual scene information to obtain the pieces of virtual reality interaction events respectively corresponding to the pieces of virtual scene information may specifically include the following: and performing key information mining on the plurality of pieces of virtual scene information according to a key information mining thread to obtain a plurality of virtual reality interaction events respectively corresponding to the plurality of pieces of virtual scene information.
S20, obtaining a plurality of pieces of target user information to be processed through the plurality of virtual reality interaction events, wherein the target user information to be processed is the classification condition of users to be processed; obtaining information of a plurality of target users to be processed through the plurality of virtual reality interaction events comprises the following steps: mining a thread and the virtual reality interaction events according to the key information to obtain virtual scene matching content; and carrying out classification operation on the virtual scene matching content to obtain the information of the target users to be processed.
And S30, analyzing the information of the target users to be processed to obtain the attributes of the information of the virtual scenes.
In one exemplary embodiment, the method may further comprise: the key information mining thread performs feedback processing according to the first cost function to obtain a feedback-adjusted key information mining thread; and classifying the virtual scene matching content through the feedback-adjusted key information mining thread to obtain the information of the target users to be processed.
In an exemplary embodiment, the analyzing the target user information to be processed recorded in S30 to obtain attributes of the virtual scene information may specifically include the following: and analyzing the information of the target users to be processed according to the classification analysis variables to obtain the attributes of the information of the virtual scenes.
Further, the analyzing the target user information to be processed according to the classification analysis variables to obtain the attributes of the virtual scene information may specifically include the following contents: and analyzing the target user information to be processed in the classification unit according to the classification analysis variables to obtain the attributes of the virtual scene information.
Further, the classification unit analyzes the target user information to be processed according to the classification analysis variables to obtain attributes of the virtual scene information, which may specifically include the following contents: optimizing the classification analysis variables through the classification unit to obtain optimized classification analysis variables; and analyzing the target user information to be processed through the optimized classification analysis variables to obtain attributes of the virtual scene information.
In an exemplary embodiment, the classifying unit further includes a feedback processing unit that performs feedback processing through the second cost function of the classifying unit to obtain a feedback-adjusted classifying unit; optimizing the classification analysis variables through the classification unit after feedback adjustment to obtain optimized classification analysis variables; and analyzing the target user information to be processed through the optimized classification analysis variables to obtain attributes of the virtual scene information.
In summary, the key information mining is performed on the plurality of pieces of virtual scene information to obtain the plurality of virtual reality interaction events, the classification operation of analyzing the plurality of pieces of target user information to be processed obtained by the plurality of virtual reality interaction events to obtain the attributes of the virtual scene information is supervised classification, and for a large amount of pieces of virtual scene information without marks, classification can still be achieved and relatively complete user information analysis results can be obtained.
On the basis, please refer to fig. 2 in combination, the present application further provides a schematic diagram of a hardware structure of a user information processing service system 200, which specifically includes a memory 210, a processor 220, a network module 230, and a user information processing apparatus. The memory 210, the processor 220, and the network module 230 are electrically connected directly or indirectly to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 210 stores therein a user information processing apparatus including at least one software functional module that can be stored in the memory 210 in the form of software or firmware (firmware), and the processor 220 executes software programs and modules stored in the memory 210.
The Memory 210 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 210 is used for storing a program, and the processor 220 executes the program after receiving an execution instruction.
The processor 220 may be an integrated circuit chip having data processing capabilities. The Processor 220 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 230 is used for establishing a communication connection between the user information processing service system 200 and other communication terminal devices through a network, so as to implement transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.
Further, a readable storage medium is provided, on which a program is stored, which when executed by a processor implements the method described above.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
It is well known to those skilled in the art that with the development of electronic information technology such as large scale integrated circuit technology and the trend of software hardware, it has been difficult to clearly divide the software and hardware boundaries of a computer system. As any of the operations may be implemented in software or hardware. Execution of any of the instructions may be performed by hardware, as well as by software. Whether a hardware implementation or a software implementation is employed for a certain machine function depends on non-technical factors such as price, speed, reliability, storage capacity, change period, and the like. Accordingly, it will be apparent to those skilled in the art of electronic information technology that a more direct and clear description of one embodiment is provided by describing the various operations within the embodiment. Knowing the operations to be performed, the skilled person can directly design the desired product based on considerations of said non-technical factors.
The present application may be a system, method and/or computer program product. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present application.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: 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 Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present application may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions 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 user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry can execute computer-readable program instructions to implement aspects of the present application by utilizing state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present application are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
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 application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). 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. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein. The scope of the application is defined by the appended claims.

Claims (8)

1. A user information processing method based on virtual reality is characterized by comprising the following steps:
obtaining a plurality of pieces of virtual scene information; performing key information mining on the plurality of pieces of virtual scene information to obtain a plurality of virtual reality interaction events respectively corresponding to the plurality of pieces of virtual scene information;
obtaining a plurality of pieces of target user information to be processed through the plurality of virtual reality interaction events, wherein the target user information to be processed is a user classification condition to be processed; obtaining information of a plurality of target users to be processed through the plurality of virtual reality interaction events comprises the following steps: mining a thread and the virtual reality interaction events according to the key information to obtain virtual scene matching content; classifying the virtual scene matching content to obtain a plurality of pieces of target user information to be processed;
and analyzing the information of the target users to be processed to obtain the attributes of the information of the virtual scenes.
2. The method according to claim 1, wherein the mining key information of the plurality of pieces of virtual scene information to obtain a plurality of virtual reality interaction events respectively corresponding to the plurality of pieces of virtual scene information comprises:
and performing key information mining on the plurality of pieces of virtual scene information according to a key information mining thread to obtain a plurality of virtual reality interaction events respectively corresponding to the plurality of pieces of virtual scene information.
3. The method of claim 1, further comprising:
the key information mining thread performs feedback processing according to the first cost function to obtain a feedback-adjusted key information mining thread;
and classifying the virtual scene matching content through the feedback-adjusted key information mining thread to obtain the information of the target users to be processed.
4. The method of claim 1, wherein analyzing the target user information to be processed to obtain attributes of virtual scene information comprises:
and analyzing the information of the target users to be processed according to the classification analysis variables to obtain the attributes of the information of the virtual scenes.
5. The method of claim 4, wherein analyzing the target user information to be processed according to the classification analysis variables to obtain attributes of the virtual scene information comprises:
and analyzing the target user information to be processed in the classification unit according to the classification analysis variables to obtain the attributes of the virtual scene information.
6. The method according to claim 5, wherein analyzing the target user information to be processed in the classification unit according to the classification analysis variables to obtain attributes of the virtual scene information comprises:
optimizing the classification analysis variables through the classification unit to obtain optimized classification analysis variables; and analyzing the target user information to be processed through the optimized classification analysis variables to obtain attributes of the virtual scene information.
7. The method according to claim 5 or 6, wherein the classifying unit further comprises performing feedback processing through the second cost function of the classifying unit to obtain a feedback-adjusted classifying unit; optimizing the classification analysis variables through the classification unit after feedback adjustment to obtain optimized classification analysis variables; and analyzing the target user information to be processed through the optimized classification analysis variables to obtain attributes of the virtual scene information.
8. A user information processing service system is characterized by comprising a memory, a processor and a network module; wherein the memory, the processor, and the network module are electrically connected directly or indirectly; the processor implements the method of any one of claims 1-7 by reading the computer program from the memory and running it.
CN202111488134.9A 2021-12-08 2021-12-08 User information processing method and service system based on virtual reality Withdrawn CN114090662A (en)

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CN202111488134.9A CN114090662A (en) 2021-12-08 2021-12-08 User information processing method and service system based on virtual reality

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Application Number Priority Date Filing Date Title
CN202111488134.9A CN114090662A (en) 2021-12-08 2021-12-08 User information processing method and service system based on virtual reality

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Application publication date: 20220225