CN113609362B - Data management method and system based on 5G - Google Patents
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Abstract
According to the 5G-based data management method and system, a description content vector of interactive user archive data for representing attribute description content of target interactive user archive data is output through an attribute analysis network, and at least two interactive data description content vectors are obtained, wherein the interactive data description content vectors are used for representing attribute description content of the interactive user archive data of the interactive data under corresponding interactive data, and the interactive data of the interactive user archive data is determined through a management scheme description content of the interactive data representation interactive user archive data. And finally, based on the description content vector of the interactive user file data and the description content vector of each interactive data, obtaining the interactive data relevance between the target interactive user file data for determining the interactive data of the target interactive user file data and the interactive data characterization interactive user file data corresponding to each interactive data.
Description
Technical Field
The application relates to the technical field of data management, in particular to a 5G-based data management method and system.
Background
5G (5 th Generation Mobile CommunicationTechnology) is a new generation broadband mobile communication technology with high speed, low time delay and large connection characteristics, and is a network infrastructure for realizing man-machine interconnection. Because the theoretical downlink speed of the 5G network is 10Gb/s (equivalent to the downloading speed of 1.25 Gb/s), the correlation efficiency of the related data can be improved, and the labor cost is effectively reduced. However, there are also some drawbacks in the related 5G data management techniques.
Disclosure of Invention
In view of this, the present application provides a 5G-based data management method and system.
In a first aspect, there is provided a 5G-based data management method, the method comprising:
acquiring target interactive user file data with undetermined interactive data;
outputting a description content vector of the interactive user profile data aiming at the target interactive user profile data through an attribute analysis network, wherein the description content vector of the interactive user profile data is used for representing attribute description content of the target interactive user profile data;
acquiring at least two interactive data description content vectors, wherein the interactive data description content vectors are used for representing attribute description contents of interactive data representation interactive user archive data under corresponding interactive data, and the interactive data representation interactive user archive data is determined through management scheme description contents of the interactive data representation interactive user archive data;
And determining the interactive data relevance between the target interactive user profile data and the interactive data characterization interactive user profile data corresponding to each interactive data based on the description content vector of the interactive user profile data and the description content vector of each interactive data, wherein the interactive data relevance is used for determining the interactive data of the target interactive user profile data.
Further, the obtaining at least two interactive data description content vectors includes:
acquiring a historical interaction user archive data set, wherein the historical interaction user archive data set comprises historical interaction user archive data with undetermined interaction data;
extracting management scheme description contents of each historical interaction user archive data in the historical interaction user archive data set, wherein the management scheme description contents are used for representing the representation degree of the representation mode of the interesting data in the historical interaction user archive data;
determining interactive data characterization interactive user file data corresponding to at least two interactive data in the historical interactive user file data set based on the management scheme description content of each historical interactive user file data in the historical interactive user file data set;
And outputting descriptive content vectors representing the interactive user file data aiming at the interactive data corresponding to each interactive data through the attribute analysis network to obtain at least two descriptive content vectors of the interactive data.
Further, the determining, based on the management scheme description content of each of the historical interactive user profile data in the historical interactive user profile data set, interactive data characterization interactive user profile data corresponding to at least two interactive data in the historical interactive user profile data set includes:
determining the interactive data possibility arrangement of each history interactive user file data through an interactive user file data interaction data network based on the management scheme description content of each history interactive user file data;
based on the interactive data possibility arrangement of each historical interactive user file data, the interactive data representation interactive user file data corresponding to at least two interactive data are determined in the historical interactive user file data set.
Further, the historical interaction user profile data includes category identification data, the management scheme description content based on each historical interaction user profile data determines an interaction data likelihood arrangement of each historical interaction user profile data through the interaction user profile data interaction data network, including:
Based on the description content of the management scheme of each history interaction user file data and the type identification data of each history interaction user file data, the interaction data possibility arrangement of each history interaction user file data is determined through the monitored interaction user file data interaction data network.
Further, the arrangement of the possibility of the interaction data based on each historical interaction user profile data determines the interaction data characterization interaction user profile data corresponding to at least two interaction data in the historical interaction user profile data set, including:
determining the interactive data proportion of the interactive data of each historical interactive user file data as target interactive data according to the interactive data possibility arrangement of each historical interactive user file data, wherein the target interactive data is one of the at least two interactive data;
according to the distribution condition from large to small, combining the interactive data proportion of each historical interactive user file data, wherein the interactive data proportion is the target interactive data;
selecting historical interactive user file data of which the interactive data proportion is combined in a first preset standard index, and determining the interactive user file data representing the interactive user file data corresponding to the target interactive data;
The outputting, by the attribute analysis network, the description content vector representing the interactive user profile data for the interactive data corresponding to each interactive data, to obtain at least two description content vectors of the interactive data, includes:
outputting the description content vector of the interactive user file data of the interactive data representation of the first preset event corresponding to the target interactive data through an attribute analysis network aiming at each target interactive data in the at least two interactive data;
and carrying out weighting processing on the description content vector of the interactive data representation interactive user file data of the first preset event to obtain the description content vector of the interactive data corresponding to the target interactive data.
In a second aspect, a 5G-based data management system is provided, including a data acquisition device and a data processing terminal, where the data acquisition device is in communication connection with the data processing terminal, and the data processing terminal is specifically configured to:
acquiring target interactive user file data with undetermined interactive data;
outputting a description content vector of the interactive user profile data aiming at the target interactive user profile data through an attribute analysis network, wherein the description content vector of the interactive user profile data is used for representing attribute description content of the target interactive user profile data;
Acquiring at least two interactive data description content vectors, wherein the interactive data description content vectors are used for representing attribute description contents of interactive data representation interactive user archive data under corresponding interactive data, and the interactive data representation interactive user archive data is determined through management scheme description contents of the interactive data representation interactive user archive data;
and determining the interactive data relevance between the target interactive user profile data and the interactive data characterization interactive user profile data corresponding to each interactive data based on the description content vector of the interactive user profile data and the description content vector of each interactive data, wherein the interactive data relevance is used for determining the interactive data of the target interactive user profile data.
Further, the data processing terminal is specifically configured to:
acquiring a historical interaction user archive data set, wherein the historical interaction user archive data set comprises historical interaction user archive data with undetermined interaction data;
extracting management scheme description contents of each historical interaction user archive data in the historical interaction user archive data set, wherein the management scheme description contents are used for representing the representation degree of the representation mode of the interesting data in the historical interaction user archive data;
Determining interactive data characterization interactive user file data corresponding to at least two interactive data in the historical interactive user file data set based on the management scheme description content of each historical interactive user file data in the historical interactive user file data set;
and outputting descriptive content vectors representing the interactive user file data aiming at the interactive data corresponding to each interactive data through the attribute analysis network to obtain at least two descriptive content vectors of the interactive data.
Further, the data processing terminal is specifically configured to:
determining the interactive data possibility arrangement of each history interactive user file data through an interactive user file data interaction data network based on the management scheme description content of each history interactive user file data;
based on the interactive data possibility arrangement of each historical interactive user file data, the interactive data representation interactive user file data corresponding to at least two interactive data are determined in the historical interactive user file data set.
Further, the data processing terminal is specifically configured to:
based on the description content of the management scheme of each history interaction user file data and the type identification data of each history interaction user file data, the interaction data possibility arrangement of each history interaction user file data is determined through the monitored interaction user file data interaction data network.
Further, the data processing terminal is specifically configured to:
determining the interactive data proportion of the interactive data of each historical interactive user file data as target interactive data according to the interactive data possibility arrangement of each historical interactive user file data, wherein the target interactive data is one of the at least two interactive data;
according to the distribution condition from large to small, combining the interactive data proportion of each historical interactive user file data, wherein the interactive data proportion is the target interactive data;
selecting historical interactive user file data of which the interactive data proportion is combined in a first preset standard index, and determining the interactive user file data representing the interactive user file data corresponding to the target interactive data;
the outputting, by the attribute analysis network, the description content vector representing the interactive user profile data for the interactive data corresponding to each interactive data, to obtain at least two description content vectors of the interactive data, includes:
outputting the description content vector of the interactive user file data of the interactive data representation of the first preset event corresponding to the target interactive data through an attribute analysis network aiming at each target interactive data in the at least two interactive data;
And carrying out weighting processing on the description content vector of the interactive data representation interactive user file data of the first preset event to obtain the description content vector of the interactive data corresponding to the target interactive data.
According to the 5G-based data management method and system, a description content vector of interactive user archive data for representing attribute description content of target interactive user archive data is output through an attribute analysis network, and at least two interactive data description content vectors are obtained, wherein the interactive data description content vectors are used for representing attribute description content of the interactive user archive data of the interactive data under the corresponding interactive data, and the interactive data representing the interactive user archive data is determined through a management scheme description content of the interactive data representing the interactive user archive data. And finally, based on the description content vector of the interactive user file data and the description content vector of each interactive data, obtaining the interactive data relevance between the target interactive user file data for determining the interactive data of the target interactive user file data and the interactive data characterization interactive user file data corresponding to each interactive data.
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In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a data management method based on 5G according to an embodiment of the present application.
Fig. 2 is a block diagram of a 5G-based data management apparatus according to an embodiment of the present application.
Fig. 3 is a schematic diagram of a 5G-based data management system according to an embodiment of the present application.
Detailed Description
In order to better understand the technical solutions described above, the following detailed description of the technical solutions of the present application is provided through the accompanying drawings and specific embodiments, and it should be understood that the specific features of the embodiments and embodiments of the present application are detailed descriptions of the technical solutions of the present application, and not limit the technical solutions of the present application, and the technical features of the embodiments and embodiments of the present application may be combined with each other without conflict.
Referring to fig. 1, a 5G-based data management method is shown, which may include the following steps 100-400.
Step 100, obtaining target interactive user profile data with undetermined interactive data.
For example, the target interactive user profile data is used to characterize relevant data communicated via 5G.
Step 200, outputting a description content vector of the interactive user profile data for the target interactive user profile data through the attribute analysis network, wherein the description content vector of the interactive user profile data is used for representing attribute description content of the target interactive user profile data.
For example, the descriptive content vector represents key features in the interactive user profile data.
Step 300, obtaining at least two interactive data descriptive content vectors.
For example, the interactive data description content vector is used for representing attribute description content of the interactive data representation interactive user file data under the corresponding interactive data, and the interactive data representation interactive user file data is determined through the management scheme description content of the interactive data representation interactive user file data.
Step 400, determining an interactive data relevance between the target interactive user profile data and the interactive data characterization interactive user profile data corresponding to each interactive data based on the description content vector of the interactive user profile data and the description content vector of each interactive data.
For example, an interaction data association is used to determine interaction data for the target interaction user profile data.
It will be appreciated that, when the technical solution described in the above steps 100-400 is executed, a description content vector of the interactive user profile data for the target interactive user profile data for characterizing the attribute description content thereof is output through the attribute analysis network, and at least two description content vectors of the interactive data are obtained, wherein the description content vectors of the interactive data are used for characterizing the attribute description content of the interactive user profile data of the interactive data under the corresponding interactive data, and the interactive data of the interactive data characterizing the interactive user profile data are determined through the management solution description content of the interactive data characterizing the interactive user profile data. And finally, based on the description content vector of the interactive user file data and the description content vector of each interactive data, obtaining the interactive data relevance between the target interactive user file data for determining the interactive data of the target interactive user file data and the interactive data characterization interactive user file data corresponding to each interactive data.
In an alternative embodiment, the inventor has found that when obtaining at least two interactive data description content vectors, there is a problem that the steps of the historical interactive user profile data are mixed, so that it is difficult to accurately obtain at least two interactive data description content vectors, and in order to improve the technical problem, the step of obtaining at least two interactive data description content vectors described in step 300 may specifically include the following technical solutions described in steps q 1-q 4.
And q1, acquiring a historical interactive user file data set, wherein the historical interactive user file data set comprises historical interactive user file data with undetermined interactive data.
And q2, extracting management scheme description contents of each historical interactive user archive data in the historical interactive user archive data set, wherein the management scheme description contents are used for representing the representation degree of the representation mode of the interesting data in the historical interactive user archive data.
And q3, determining interactive data characterization interactive user file data corresponding to at least two interactive data in the historical interactive user file data set based on the management scheme description content of each historical interactive user file data in the historical interactive user file data set.
And q4, outputting descriptive content vectors representing the interactive user file data aiming at the interactive data corresponding to each interactive data through the attribute analysis network to obtain at least two descriptive content vectors of the interactive data.
It can be understood that when the technical scheme described in the above steps q1 to q4 is executed, the problem of step mixing of the historical interactive user profile data is avoided when at least two interactive data description content vectors are obtained, so that at least two interactive data description content vectors can be accurately obtained.
In an alternative embodiment, the inventor finds that, based on the management scheme description content of each of the historical interactive user profile data in the historical interactive user profile data set, when determining that the interactive data corresponding to at least two interactive data represents the interactive user profile data in the historical interactive user profile data set, there is a problem that the management scheme description content is inaccurate, so that it is difficult to accurately determine that the interactive data corresponding to at least two interactive data represents the interactive user profile data, in order to improve the above technical problem, the step of determining, in the historical interactive user profile data set, the interactive data corresponding to at least two interactive data represents the interactive user profile data based on the management scheme description content of each of the historical interactive user profile data in the historical interactive user profile data set may specifically include the following steps q31 and q 32.
And q31, determining the interactive data possibility arrangement of each historical interactive user file data through the interactive user file data interactive data network based on the management scheme description content of each historical interactive user file data.
And q32, determining interactive data representation interactive user file data corresponding to at least two interactive data in the historical interactive user file data set based on the interactive data possibility arrangement of each historical interactive user file data.
It can be understood that when the technical schemes described in the above steps q31 and q32 are executed, based on the description content of the management scheme of each history interaction user profile data in the history interaction user profile data set, when the interaction data corresponding to at least two interaction data are determined in the history interaction user profile data set to represent the interaction user profile data, the problem that the description content of the management scheme is inaccurate is avoided, so that the interaction data corresponding to at least two interaction data can be accurately determined to represent the interaction user profile data.
In an alternative embodiment, the inventor finds that the historical interactive user profile data includes category identification data, and when the interactive data likelihood arrangement of each historical interactive user profile data is determined through the interactive user profile data interaction data network based on the management scheme description content of each historical interactive user profile data, there is a problem that the category identification data is inaccurate, so that it is difficult to accurately determine the interactive data likelihood arrangement of each historical interactive user profile data, the historical interactive user profile data described in the step q31 includes the category identification data, and the step of determining the interactive data likelihood arrangement of each historical interactive user profile data through the interactive user profile data interaction data network based on the management scheme description content of each historical interactive user profile data specifically may include the following technical scheme described in the step w 1.
Step w1, determining the interactive data possibility arrangement of each history interactive user profile data through the monitored interactive user profile data interactive data network based on the management scheme description content of each history interactive user profile data and the type identification data of each history interactive user profile data.
It can be understood that, when the technical solution described in the above step w1 is executed, the history interactive user profile data includes category identification data, and the interactive data likelihood arrangement of each history interactive user profile data is determined through the interactive user profile data interaction data network based on the management solution description content of each history interactive user profile data, so that the problem of inaccurate category identification data is avoided, and thus the interactive data likelihood arrangement of each history interactive user profile data can be accurately determined.
In an alternative embodiment, the inventor finds that, based on the arrangement of the possibility of the interactive data of each historical interactive user profile data, when determining that the interactive data corresponding to at least two interactive data represents the interactive user profile data in the historical interactive user profile data set, there is a problem that the proportion of the interactive data is inaccurate, so that it is difficult to accurately determine that the interactive data corresponding to at least two interactive data represents the interactive user profile data, in order to improve the technical problem, the step of determining, in the historical interactive user profile data set, the interactive data corresponding to at least two interactive data represents the interactive user profile data according to the arrangement of the possibility of the interactive data of each historical interactive user profile data described in step q32 may specifically include the following technical scheme described in step e 1-step e 3.
And e1, determining the interactive data proportion of each historical interactive user file data as target interactive data according to the interactive data possibility arrangement of each historical interactive user file data, wherein the target interactive data is one of the at least two interactive data.
And e2, combining the interactive data of each historical interactive user file data according to the distribution condition from large to small, wherein the interactive data proportion of the interactive data is the target interactive data.
And e3, selecting the historical interactive user file data of which the interactive data proportion is combined in the first preset standard index, and determining the interactive user file data representing the interactive user file data corresponding to the target interactive data.
It can be appreciated that when the technical scheme described in the above steps e 1-e 3 is executed, based on the arrangement of the possibility of the interaction data of each historical interaction user profile data, when the interaction data corresponding to at least two interaction data are determined in the historical interaction user profile data set to represent the interaction user profile data, the problem of inaccurate proportion of the interaction data is avoided, so that the interaction data corresponding to at least two interaction data can be accurately determined to represent the interaction user profile data.
In an alternative embodiment, the inventor finds that when the attribute analysis network outputs the description content vector representing the interactive user profile data for the interactive data corresponding to each interactive data, there is a problem that the description content vector is incomplete, so that it is difficult to obtain at least two description content vectors of the interactive data completely, and in order to improve the technical problem, the step of obtaining at least two description content vectors of the interactive data by outputting the description content vector representing the interactive user profile data for the interactive data corresponding to each interactive data through the attribute analysis network described in the step q4 may specifically include the following technical scheme described in the step q41 and the step q 42.
Step q41, outputting, for each target interaction data in the at least two interaction data, a description content vector of the interaction data representation interaction user file data of the first predetermined event corresponding to the target interaction data through the attribute analysis network.
And q42, weighting the description content vector of the interactive data representation interactive user file data of the first preset event to obtain the interactive data description content vector corresponding to the target interactive data.
It can be understood that when the technical schemes described in the above steps q41 and q42 are executed, when the description content vector representing the interactive user profile data for the interactive data corresponding to each interactive data is output through the attribute analysis network, the problem of incomplete description content vector is avoided, so that at least two interactive data description content vectors can be obtained completely.
In one possible embodiment, the inventor finds that, based on the description content vector of the interactive user profile data and the description content vector of each interactive data, there is a problem that the vector difference is inaccurate, so that it is difficult to accurately determine the interactive data relevance between the target interactive user profile data and the interactive data corresponding to each interactive data, and in order to improve the above technical problem, the step of determining the interactive data relevance between the target interactive user profile data and the interactive data corresponding to each interactive data based on the description content vector of the interactive user profile data and the description content vector of each interactive data described in step 400 may specifically include the following technical scheme described in steps r1 and r 2.
And r1, calculating the vector difference between the description content vector of the interactive user file data and each description content vector of the interactive data.
And r2, determining interaction data relevance between the target interaction user file data and interaction data characterization interaction user file data corresponding to each interaction data based on the vector difference, wherein the interaction data relevance and the vector difference relevance.
It can be appreciated that when the technical schemes described in the steps r1 and r2 are executed, the problem of inaccurate vector difference is avoided based on the description content vector of the interactive user profile data and the description content vector of each interactive data, so that the interactive data relevance between the target interactive user profile data and the interactive data characterization interactive user profile data corresponding to each interactive data can be accurately determined.
Based on the above-mentioned basis, after determining the interactive data relevance between the target interactive user profile data and the interactive data characterizing the interactive user profile data corresponding to each interactive data, the following technical solutions described in step a1 and step a2 may be further included.
Step a1, determining the interactive data representing the interactive user file data with the largest interactive data relativity with the target interactive user file data from the interactive data representing the interactive user file data corresponding to each interactive data.
And a2, determining the interactive data corresponding to the interactive data representing the interactive user file data with the largest interactive data relevance as the interactive data of the target interactive user file data.
It can be appreciated that when the technical schemes described in the above steps a1 and a2 are executed, the interactive user profile data is represented by determining the interactive data having the largest relation with the interactive data of the target interactive user profile data, so as to improve the accuracy of the interactive data of the target interactive user profile data.
Based on the above, the technical solution described in the following step s1 may also be included.
Step s1, determining an interaction data possibility arrangement of the target interaction user profile data based on the interaction data relevance between the target interaction user profile data and the interaction data representation interaction user profile data corresponding to each interaction data.
It will be appreciated that, when the technical scheme described in the step s1 is executed, the interactive data likelihood arrangement of the target interactive user profile data is accurately determined through the interactive data association.
On the basis of the above, please refer to fig. 2 in combination, there is provided a 5G-based data management apparatus 200, which is applied to a data processing terminal, the apparatus comprising:
A profile data acquisition module 210, configured to acquire target interactive user profile data whose interactive data is not determined;
a descriptive content determining module 220, configured to output, via an attribute analysis network, a descriptive content vector of interactive user profile data for the target interactive user profile data, where the descriptive content vector of interactive user profile data is used to characterize an attribute descriptive content of the target interactive user profile data;
the descriptive content obtaining module 230 is configured to obtain at least two interactive data descriptive content vectors, where the interactive data descriptive content vectors are used to represent attribute descriptive content of interactive user profile data represented by interactive data under corresponding interactive data, and the interactive data represented by the interactive user profile data is determined by the interactive data represented by management scheme descriptive content of the interactive user profile data;
the data association determining module 240 is configured to determine an interaction data association between the target interaction user profile data and the interaction data characterization interaction user profile data corresponding to each interaction data, based on the description content vector of the interaction user profile data and each interaction data description content vector, where the interaction data association is used to determine interaction data of the target interaction user profile data.
On the basis of the above, please refer to fig. 3 in combination, a 5G based data management system 300 is shown, comprising a processor 310 and a memory 320 in communication with each other, the processor 310 being configured to read and execute a computer program from the memory 320 to implement the above-mentioned method.
On the basis of the above, there is also provided a computer readable storage medium on which a computer program stored which, when run, implements the above method.
In summary, based on the above-mentioned scheme, a description content vector of the interactive user profile data for the target interactive user profile data for characterizing the attribute description content thereof is output through the attribute analysis network, and at least two interactive data description content vectors are obtained, wherein the interactive data description content vectors are used for characterizing the attribute description content of the interactive user profile data of the interactive data under the corresponding interactive data, and the interactive data of the interactive data characterizing the interactive user profile data is determined through the management scheme description content of the interactive data characterizing the interactive user profile data. And finally, based on the description content vector of the interactive user file data and the description content vector of each interactive data, obtaining the interactive data relevance between the target interactive user file data for determining the interactive data of the target interactive user file data and the interactive data characterization interactive user file data corresponding to each interactive data.
It should be appreciated that the systems and modules thereof shown above may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may then be stored in a memory and executed by a suitable instruction execution system, such as a microprocessor or special purpose design hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such as provided on a carrier medium such as a magnetic disk, CD or DVD-ROM, a programmable memory such as read only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application may be implemented not only with hardware circuitry, such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, etc., or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also with software, such as executed by various types of processors, and with a combination of the above hardware circuitry and software (e.g., firmware).
It should be noted that, the advantages that may be generated by different embodiments may be different, and in different embodiments, the advantages that may be generated may be any one or a combination of several of the above, or any other possible advantages that may be obtained.
While the basic concepts have been described above, it will be apparent to those skilled in the art that the foregoing detailed disclosure is by way of example only and is not intended to be limiting. Although not explicitly described herein, various modifications, improvements, and adaptations of the present application may occur to one skilled in the art. Such modifications, improvements, and modifications are intended to be suggested within this application, and are therefore within the spirit and scope of the exemplary embodiments of this application.
Meanwhile, the present application uses specific words to describe embodiments of the present application. Reference to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic is associated with at least one embodiment of the present application. Thus, it should be emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various positions in this specification are not necessarily referring to the same embodiment. Furthermore, certain features, structures, or characteristics of one or more embodiments of the present application may be combined as suitable.
Furthermore, those skilled in the art will appreciate that the various aspects of the invention are illustrated and described in the context of a number of patentable categories or circumstances, including any novel and useful procedures, machines, products, or materials, or any novel and useful modifications thereof. Accordingly, aspects of the present application may be performed entirely by hardware, entirely by software (including firmware, resident software, micro-code, etc.) or by a combination of hardware and software. The above hardware or software may be referred to as a "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may take the form of a computer product, comprising computer-readable program code, embodied in one or more computer-readable media.
The computer storage medium may contain a propagated data signal with the computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take on a variety of forms, including electro-magnetic, optical, etc., or any suitable combination thereof. A computer storage medium may be any computer readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated through any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or a combination of any of the foregoing.
The computer program code necessary for operation of portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, scala, smalltalk, eiffel, JADE, emerald, C ++, c#, vb net, python, etc., a conventional programming language such as C language, visual Basic, fortran 2003, perl, COBOL 2002, PHP, ABAP, dynamic programming languages such as Python, ruby and Groovy, or other programming languages, etc. The program code may execute entirely on the user's computer or 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 latter scenario, the remote computer may be connected to the user's computer through any form of network, such as 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), or the use of services such as software as a service (SaaS) in a cloud computing environment.
Furthermore, the order in which the elements and sequences are presented, the use of numerical letters, or other designations are used in the application and are not intended to limit the order in which the processes and methods of the application are performed unless explicitly recited in the claims. While certain presently useful inventive embodiments have been discussed in the foregoing disclosure, by way of various examples, it is to be understood that such details are merely illustrative and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements included within the spirit and scope of the embodiments of the present application. For example, while the system components described above may be implemented by hardware devices, they may also be implemented solely by software solutions, such as installing the described system on an existing server or mobile device.
Likewise, it should be noted that in order to simplify the presentation disclosed herein and thereby aid in understanding one or more inventive embodiments, various features are sometimes grouped together in a single embodiment, figure, or description thereof. This method of disclosure, however, is not intended to imply that more features than are presented in the claims are required for the subject application. Indeed, less than all of the features of a single embodiment disclosed above.
In some embodiments, numbers describing the components, number of attributes are used, it being understood that such numbers being used in the description of embodiments are modified in some examples by the modifier "about," approximately, "or" substantially. Unless otherwise indicated, "about," "approximately," or "substantially" indicate that the numbers allow for adaptive variation. Accordingly, in some embodiments, numerical parameters set forth in the specification and claims are approximations that may vary depending upon the desired properties sought to be obtained by the individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and employ a method for preserving the general number of digits. Although the numerical ranges and parameters set forth herein are approximations that may be employed in some embodiments to confirm the breadth of the range, in particular embodiments, the setting of such numerical values is as precise as possible.
Each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this application is hereby incorporated by reference in its entirety. Except for application history documents that are inconsistent or conflicting with the present application, documents that are currently or later attached to this application for which the broadest scope of the claims to the present application is limited. It is noted that the descriptions, definitions, and/or terms used in the subject matter of this application are subject to such descriptions, definitions, and/or terms if they are inconsistent or conflicting with such descriptions, definitions, and/or terms.
Finally, it should be understood that the embodiments described herein are merely illustrative of the principles of the embodiments of the present application. Other variations are also possible within the scope of this application. Thus, by way of example, and not limitation, alternative configurations of embodiments of the present application may be considered in keeping with the teachings of the present application. Accordingly, embodiments of the present application are not limited to only the embodiments explicitly described and depicted herein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (4)
1. A 5G-based data management method, the method comprising:
acquiring target interactive user file data with undetermined interactive data;
outputting a description content vector of the interactive user profile data aiming at the target interactive user profile data through an attribute analysis network, wherein the description content vector of the interactive user profile data is used for representing attribute description content of the target interactive user profile data;
acquiring at least two interactive data description content vectors, wherein the interactive data description content vectors are used for representing attribute description contents of interactive data representation interactive user archive data under corresponding interactive data, and the interactive data representation interactive user archive data is determined through management scheme description contents of the interactive data representation interactive user archive data;
determining an interaction data relevance between the target interaction user archive data and interaction data characterization interaction user archive data corresponding to each interaction data based on the description content vector of the interaction user archive data and the description content vector of each interaction data, wherein the interaction data relevance is used for determining the interaction data of the target interaction user archive data;
The obtaining at least two interactive data descriptive content vectors includes:
acquiring a historical interaction user archive data set, wherein the historical interaction user archive data set comprises historical interaction user archive data with undetermined interaction data;
extracting management scheme description contents of each historical interaction user archive data in the historical interaction user archive data set, wherein the management scheme description contents are used for representing the representation degree of the representation mode of the interesting data in the historical interaction user archive data;
determining interactive data characterization interactive user file data corresponding to at least two interactive data in the historical interactive user file data set based on the management scheme description content of each historical interactive user file data in the historical interactive user file data set;
outputting descriptive content vectors representing the interactive user file data aiming at the interactive data corresponding to each interactive data through an attribute analysis network to obtain at least two descriptive content vectors of the interactive data;
the method for determining the interactive user profile data represented by the interactive data corresponding to at least two interactive data in the historical interactive user profile data set based on the management scheme description content of each historical interactive user profile data in the historical interactive user profile data set comprises the following steps:
Determining the interactive data possibility arrangement of each history interactive user file data through an interactive user file data interaction data network based on the management scheme description content of each history interactive user file data;
based on the interactive data possibility arrangement of each historical interactive user file data, determining interactive data characterization interactive user file data corresponding to at least two interactive data in the historical interactive user file data set;
the arrangement of the interaction data possibility based on each history interaction user file data determines interaction data characterization interaction user file data corresponding to at least two interaction data in the history interaction user file data set, including:
determining the interactive data proportion of the interactive data of each historical interactive user file data as target interactive data according to the interactive data possibility arrangement of each historical interactive user file data, wherein the target interactive data is one of the at least two interactive data;
according to the distribution condition from large to small, combining the interactive data proportion of each historical interactive user file data, wherein the interactive data proportion is the target interactive data;
Selecting historical interactive user file data of which the interactive data proportion is combined in a first preset standard index, and determining the interactive user file data representing the interactive user file data corresponding to the target interactive data;
the outputting, by the attribute analysis network, the description content vector representing the interactive user profile data for the interactive data corresponding to each interactive data, to obtain at least two description content vectors of the interactive data, includes:
outputting the description content vector of the interactive user file data of the interactive data representation of the first preset event corresponding to the target interactive data through an attribute analysis network aiming at each target interactive data in the at least two interactive data;
and carrying out weighting processing on the description content vector of the interactive data representation interactive user file data of the first preset event to obtain the description content vector of the interactive data corresponding to the target interactive data.
2. The method of claim 1, wherein the historical interactive user profile data includes category identification data, wherein the determining the interactive data likelihood arrangement for each of the historical interactive user profile data via the interactive user profile data interaction data network based on the management scheme description content for each of the historical interactive user profile data comprises:
Based on the description content of the management scheme of each history interaction user file data and the type identification data of each history interaction user file data, the interaction data possibility arrangement of each history interaction user file data is determined through the monitored interaction user file data interaction data network.
3. The 5G-based data management system is characterized by comprising data acquisition equipment and a data processing terminal, wherein the data acquisition equipment is in communication connection with the data processing terminal, and the data processing terminal is specifically used for:
acquiring target interactive user file data with undetermined interactive data;
outputting a description content vector of the interactive user profile data aiming at the target interactive user profile data through an attribute analysis network, wherein the description content vector of the interactive user profile data is used for representing attribute description content of the target interactive user profile data;
acquiring at least two interactive data description content vectors, wherein the interactive data description content vectors are used for representing attribute description contents of interactive data representation interactive user archive data under corresponding interactive data, and the interactive data representation interactive user archive data is determined through management scheme description contents of the interactive data representation interactive user archive data;
Determining an interaction data relevance between the target interaction user archive data and interaction data characterization interaction user archive data corresponding to each interaction data based on the description content vector of the interaction user archive data and the description content vector of each interaction data, wherein the interaction data relevance is used for determining the interaction data of the target interaction user archive data;
the obtaining at least two interactive data descriptive content vectors includes:
acquiring a historical interaction user archive data set, wherein the historical interaction user archive data set comprises historical interaction user archive data with undetermined interaction data;
extracting management scheme description contents of each historical interaction user archive data in the historical interaction user archive data set, wherein the management scheme description contents are used for representing the representation degree of the representation mode of the interesting data in the historical interaction user archive data;
determining interactive data characterization interactive user file data corresponding to at least two interactive data in the historical interactive user file data set based on the management scheme description content of each historical interactive user file data in the historical interactive user file data set;
Outputting descriptive content vectors representing the interactive user file data aiming at the interactive data corresponding to each interactive data through an attribute analysis network to obtain at least two descriptive content vectors of the interactive data;
the method for determining the interactive user profile data represented by the interactive data corresponding to at least two interactive data in the historical interactive user profile data set based on the management scheme description content of each historical interactive user profile data in the historical interactive user profile data set comprises the following steps:
determining the interactive data possibility arrangement of each history interactive user file data through an interactive user file data interaction data network based on the management scheme description content of each history interactive user file data;
based on the interactive data possibility arrangement of each historical interactive user file data, determining interactive data characterization interactive user file data corresponding to at least two interactive data in the historical interactive user file data set;
the arrangement of the interaction data possibility based on each history interaction user file data determines interaction data characterization interaction user file data corresponding to at least two interaction data in the history interaction user file data set, including:
Determining the interactive data proportion of the interactive data of each historical interactive user file data as target interactive data according to the interactive data possibility arrangement of each historical interactive user file data, wherein the target interactive data is one of the at least two interactive data;
according to the distribution condition from large to small, combining the interactive data proportion of each historical interactive user file data, wherein the interactive data proportion is the target interactive data;
selecting historical interactive user file data of which the interactive data proportion is combined in a first preset standard index, and determining the interactive user file data representing the interactive user file data corresponding to the target interactive data;
the outputting, by the attribute analysis network, the description content vector representing the interactive user profile data for the interactive data corresponding to each interactive data, to obtain at least two description content vectors of the interactive data, includes:
outputting the description content vector of the interactive user file data of the interactive data representation of the first preset event corresponding to the target interactive data through an attribute analysis network aiming at each target interactive data in the at least two interactive data;
And carrying out weighting processing on the description content vector of the interactive data representation interactive user file data of the first preset event to obtain the description content vector of the interactive data corresponding to the target interactive data.
4. A system according to claim 3, wherein the data processing terminal is specifically configured to:
based on the description content of the management scheme of each history interaction user file data and the type identification data of each history interaction user file data, the interaction data possibility arrangement of each history interaction user file data is determined through the monitored interaction user file data interaction data network.
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