CN113485203A - Method and system for intelligently controlling network resource sharing - Google Patents
Method and system for intelligently controlling network resource sharing Download PDFInfo
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
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Abstract
The method and the system for intelligently controlling network resource sharing provided by the application can acquire a sample network resource information set according to a key strategy after receiving the key strategy of the sample network resource information, further determine the sharing information type of each sample network resource information in the sample network resource information in an object network, carry out intelligent control network resource sharing according to the sharing information type after determining the sharing information type, obtain target sample network resource information meeting the information type division requirement included in the key strategy, share the target sample network resource information in the object network, carry out intelligent control network resource sharing according to the requirement of an object on intelligent control network resource sharing, meet the object requirement of the sample network resource information displayed in the object network, and effectively improve the division accuracy of the object on the sample network resource information, and the division integrity of the object on the sample network resource information can be improved.
Description
Technical Field
The present application relates to the field of resource sharing technologies, and in particular, to a method and a system for intelligently controlling network resource sharing.
Background
With the development of artificial intelligence, computer devices are becoming popular for home and office use and are generally regarded as indispensable tools for work, study, leisure activities, and daily life. Sometimes, a user may have more than one computer device for processing different transactions, and often needs to access multiple computer devices at the same time. Therefore, the query time of related resources is effectively saved, and the labor cost is reduced. However, there are some drawbacks in the related resource sharing technology.
Disclosure of Invention
In view of this, the present application provides a method and system for intelligently controlling network resource sharing.
In a first aspect, a method for intelligently controlling network resource sharing is provided, including:
responding to a key strategy of the sample network resource information, and acquiring a sample network resource information set to be shared, wherein the key strategy comprises an information category division requirement;
determining the sharing information type of each sample network resource information in the sample network resource information set corresponding to the object network;
according to the shared information type, target sample network resource information meeting the information type division requirement is determined from the sample network resource information set;
and sharing the target sample network resource information in the object network.
Further, the method further comprises:
outputting a training network at the object network, wherein the training network comprises information type training content and is used for training the information type division requirement;
and acquiring a correction step of the information type training content, and generating the information type division requirement according to the correction step.
Further, the information category classification requirement includes a classification information category standard, the obtaining a modification step for the information category training content, and generating the information category classification requirement according to the modification step includes:
acquiring a correction step of the information type training content, and determining a content division boundary corresponding to the information type training content according to the correction step;
acquiring a mapping relation between a division boundary and a range division boundary of the information type training content;
and determining the target information type corresponding to the content division boundary according to the mapping relation, and taking the target information type as the division information type standard.
Further, the determining the type of the shared information corresponding to each sample network resource information in the sample network resource information set in the object network includes:
determining content categories of key policies in any of the sample network resource information sets, the content categories including one or more of: knowledge category, data category, intelligence category, and image category;
and determining the shared information type of any sample network resource information in the object network according to the content type.
Further, the determining the shared information category of any sample network resource information in the object network according to the content category includes:
when the key content of any sample network resource information comprises a knowledge category, counting the global knowledge category of the key content, and determining the shared information category of any sample network resource information of the knowledge category in the object network according to the global knowledge category and the knowledge partition boundary;
when the key content of any sample network resource information comprises a material type, acquiring a display range of the key content of the material type, and taking the display range as the shared information type of the information in any sample network resource information of the material type in the object network;
when the key content of any sample network resource information comprises an intelligence category, counting the intelligence global number of the key content, dividing a boundary according to the intelligence global number and the intelligence, and determining the shared information type of any sample network resource information of the intelligence category in the object network;
and when the key content of any sample network resource information comprises an image category, acquiring a display range of the key content of the image category, and taking the display range as the shared information category of any sample network resource information of the image category in the object network.
In a second aspect, a system for intelligently controlling network resource sharing is provided, which includes a data acquisition end and a data processing terminal, where the data acquisition end is in communication connection with the data processing terminal, and the data processing terminal is specifically configured to:
responding to a key strategy of the sample network resource information, and acquiring a sample network resource information set to be shared, wherein the key strategy comprises an information category division requirement;
determining the sharing information type of each sample network resource information in the sample network resource information set corresponding to the object network;
according to the shared information type, target sample network resource information meeting the information type division requirement is determined from the sample network resource information set;
and sharing the target sample network resource information in the object network.
Further, the data processing terminal is specifically configured to:
outputting a training network at the object network, wherein the training network comprises information type training content and is used for training the information type division requirement;
and acquiring a correction step of the information type training content, and generating the information type division requirement according to the correction step.
Further, the data processing terminal is specifically configured to:
acquiring a correction step of the information type training content, and determining a content division boundary corresponding to the information type training content according to the correction step;
acquiring a mapping relation between a division boundary and a range division boundary of the information type training content;
and determining the target information type corresponding to the content division boundary according to the mapping relation, and taking the target information type as the division information type standard.
Further, the data processing terminal is specifically configured to:
determining content categories of key policies in any of the sample network resource information sets, the content categories including one or more of: knowledge category, data category, intelligence category, and image category;
and determining the shared information type of any sample network resource information in the object network according to the content type.
Further, the data processing terminal is specifically configured to:
when the key content of any sample network resource information comprises a knowledge category, counting the global knowledge category of the key content, and determining the shared information category of any sample network resource information of the knowledge category in the object network according to the global knowledge category and the knowledge partition boundary;
when the key content of any sample network resource information comprises a material type, acquiring a display range of the key content of the material type, and taking the display range as the shared information type of the information in any sample network resource information of the material type in the object network;
when the key content of any sample network resource information comprises an intelligence category, counting the intelligence global number of the key content, dividing a boundary according to the intelligence global number and the intelligence, and determining the shared information type of any sample network resource information of the intelligence category in the object network;
and when the key content of any sample network resource information comprises an image category, acquiring a display range of the key content of the image category, and taking the display range as the shared information category of any sample network resource information of the image category in the object network.
The method and system for intelligently controlling network resource sharing provided by the embodiment of the application can acquire a sample network resource information set according to a key strategy after receiving the key strategy of the sample network resource information, can further determine the sharing information type of each sample network resource information in the sample network resource information in an object network, can intelligently control network resource sharing according to the sharing information type after determining the sharing information type so as to obtain target sample network resource information meeting the information type division requirement included in the key strategy, can share the target sample network resource information in the object network, can intelligently control network resource sharing according to the requirement of an object on intelligent control network resource sharing, and can enable the sample network resource information displayed in the object network to meet the requirement of the object, the method can effectively improve the accuracy of the object in dividing the sample network resource information and can improve the completeness of the object in dividing the sample network resource information.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a flowchart of a method for intelligently controlling network resource sharing according to an embodiment of the present disclosure.
Fig. 2 is a block diagram of an apparatus for intelligently controlling network resource sharing according to an embodiment of the present disclosure.
Fig. 3 is an architecture diagram of a system for intelligently controlling network resource sharing according to an embodiment of the present application.
Detailed Description
In order to better understand the technical solutions, the technical solutions of the present application are described in detail below with reference to the drawings and specific embodiments, and it should be understood that the specific features in the embodiments and examples of the present application are detailed descriptions of the technical solutions of the present application, and are not limitations of the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
Referring to fig. 1, a method for intelligently controlling network resource sharing is shown, which may include the technical solutions described in the following steps 100-400.
Step 100, responding to a key strategy of the sample network resource information, and acquiring a sample network resource information set to be shared, wherein the key strategy comprises an information category division requirement.
For example, the key policies represent important characteristics of the sample network resource information.
Further, the information category division requires a standard range representing each important feature.
For example, the shared information category represents a characteristic category of important shared information.
Step 400, sharing the target sample network resource information in the object network.
It can be understood that, when the technical solutions described in the above steps 100 to 400 are executed, after the key policy of the sample network resource information is received, the sample network resource information set may be obtained according to the key policy, and the shared information type of each sample network resource information in the object network may be further determined, after the shared information type is determined, intelligent control network resource sharing may be performed according to the shared information type, so as to obtain target sample network resource information that meets the information type division requirement included in the key policy, so that the target sample network resource information may be shared in the object network, and intelligent control network resource sharing may be performed according to the requirement of the object for intelligent control network resource sharing, so that the sample network resource information displayed in the object network meets the requirement of the object, the method can effectively improve the accuracy of the object in dividing the sample network resource information and can improve the completeness of the object in dividing the sample network resource information.
Based on the above basis, the following technical solutions described in step q1 and step q2 may also be included.
And q1, outputting a training network at the object network, wherein the training network comprises information category training content and is used for training the information category division requirement.
And q2, acquiring a correction step for the information type training content, and generating the information type division requirement according to the correction step.
It can be understood that, when the technical solutions described in the above steps q1 and q2 are executed, the information category classification requirement is accurately trained, so as to improve the precision of the information category classification requirement generated by the correction step.
In an alternative embodiment, the inventor finds that the information category division requirement includes a division information category standard, the step of acquiring the correction step on the information category training content has a problem that a content division boundary is inaccurate, so that it is difficult to accurately generate the information category division requirement according to the correction step, and in order to improve the above technical problem, the information category division requirement described in step q2 includes a division information category standard, the step of acquiring the correction step on the information category training content, and generating the information category division requirement according to the correction step may specifically include the technical solution described in the following step q2a 1-step q2a 3.
And q2a1, acquiring a correction step for the information type training content, and determining a content division boundary corresponding to the information type training content according to the correction step.
And q2a2, acquiring the mapping relation between the division boundary and the range division boundary of the information type training content.
And q2a3, determining the target information type corresponding to the content division boundary according to the mapping relation, and using the target information type as the division information type standard.
It can be understood that, when the technical solution described in the above-mentioned step q2a 1-step q2a3 is executed, the information category classification requirement includes a classification information category standard, and when the correction step for the information category training content is obtained, the problem of inaccurate content classification boundary is avoided, so that the information category classification requirement can be accurately generated according to the correction step.
In an alternative embodiment, the inventors have found that, when determining the shared information type corresponding to the target network for each sample network resource information in the sample network resource information set, there is a problem that multiple content types cause computational confusion, so that it is difficult to accurately determine the shared information type corresponding to the target network for each sample network resource information in the sample network resource information set, and in order to improve the above technical problem, the step of determining the shared information type corresponding to the target network for each sample network resource information in the sample network resource information set described in step 200 may specifically include the technical solutions described in steps w1 and w2 below.
Step w1, determining content categories of key policies in any sample network resource information in the sample network resource information set, the content categories including one or more of the following: knowledge category, material category, intelligence category, and image category.
And step w2, determining the shared information category of any sample network resource information in the object network according to the content category.
It can be understood that, when the technical solutions described in the above steps w1 and w2 are executed, when the shared information type corresponding to the target network of each sample network resource information in the sample network resource information set is determined, the problem of calculation confusion caused by multiple content types is avoided, so that the shared information type corresponding to the target network of each sample network resource information in the sample network resource information set can be accurately determined.
In an alternative embodiment, the inventor finds that, when determining the shared information category of any sample network resource information in the object network according to the content category, there is a problem that the key content step of any sample network resource information is not accurate, so that it is difficult to accurately determine the shared information category of any sample network resource information in the object network, and in order to improve the above technical problem, the step of determining the shared information category of any sample network resource information in the object network according to the content category described in step w2 may specifically include the technical solution described in the following step w2a 1-step w2a 4.
And w2a1, when the key content of any sample network resource information includes a knowledge category, counting the global knowledge category of the key content, and determining the shared information category of any sample network resource information of the knowledge category in the object network according to the global knowledge category and the knowledge partition boundary.
And w2a2, when the key policy of any sample network resource information includes a material type, acquiring a display range of key content of the material type, and taking the display range as a shared information type of information in any sample network resource information of the material type in the target network.
And w2a3, when the key content of any sample network resource information includes the information type, counting the information global number of the key strategy, and determining the shared information type of any sample network resource information of the information type in the object network according to the information global number and the information dividing boundary.
And w2a4, when the key content of any sample network resource information includes an image category, acquiring the display range of the key strategy of the image category, and taking the display range as the shared information type of any sample network resource information of the image category in the object network.
It can be understood that, when the technical solution described in the above step w2a 1-step w2a4 is executed, when the shared information category of any sample network resource information in the object network is determined according to the content category, the problem that the key content step of any sample network resource information is not accurate is avoided, so that the shared information category of any sample network resource information in the object network can be accurately determined.
Based on the above basis, the following technical solution described in step e1 may also be included.
And e1, acquiring the network environment information of the target sample network resource information, and sharing the network environment information in the object network.
It can be understood that, when the technical solution described in the above step e1 is executed, by improving the accuracy of the network environment information of the target sample network resource information, it can be accurately determined that the object network shares the network environment information.
In a possible embodiment, the inventor finds that, when the target network shares the target sample network resource information, there is a problem that a selection instruction is wrong, so that it is difficult to accurately determine that the target network shares the target sample network resource information, and in order to improve the above technical problem, the step of sharing the target sample network resource information in the target network described in step 400 may specifically include the technical solution described in the following step r 1.
And r1, responding to the selection instruction of the network environment information, and sharing the key strategy in the target sample network resource information in the object network.
It can be understood that, when the technical solution described in the above step r1 is executed, when the target network shares the target sample network resource information, the problem of a selection instruction error is avoided, so that it can be accurately determined that the target network shares the target sample network resource information.
Based on the above basis, the following technical solution described in step t1 may also be included.
And t1, acquiring the network environment information of the target sample network resource information, and sharing the network environment information in the object network.
It can be understood that when the technical solution described in the above step t1 is executed, the network environment information can be obtained more accurately by improving the accuracy of the network environment information of the target sample network resource information.
Based on the above basis, the number of the target sample network resource information is multiple, and the technical scheme described in the following steps y1 and y2 may also be included.
And step y1, acquiring the current shared information category of the key strategy currently shared in the object network, and determining the divided information category standard indicated by the information category dividing requirement.
And y2, updating the target sample network resource information according to the current shared information type and the classification information type standard.
It can be understood that, when the technical solutions described in the above steps y1 and y2 are executed, the accuracy of updating the target sample network resource information can be improved by accurately determining the classification information category criteria indicated by the information category classification requirement.
In a possible embodiment, according to the current category of shared information and the category standard of divided information, there is a problem that the category of local divided information is inaccurate, so that it is difficult to accurately update the target sample network resource information, and in order to improve the above technical problem, the step of updating the target sample network resource information according to the current category of shared information and the category standard of divided information described in step y2 may specifically include the technical solutions described in the following steps u1 and u 2.
And u1, determining the local classification information type according to the current sharing information type and the classification information type standard.
And u2, eliminating the sample network resource information corresponding to the shared information type meeting the local division information type in the target sample network resource information to update the target sample network resource information.
It can be understood that, when the technical solutions described in the above steps u1 and u2 are executed, according to the current shared information category and the classification information category standard, the problem of inaccurate local classification information category is avoided, so that the target sample network resource information can be accurately updated.
On the basis, please refer to fig. 2 in combination, which provides an apparatus 200 for intelligently controlling network resource sharing, where an intelligent control layer is located at a data processing terminal, the apparatus includes:
the information obtaining module 210 is configured to obtain a sample network resource information set to be shared in response to a key policy of the sample network resource information, where the key policy includes an information category division requirement;
a category determining module 220, configured to determine a shared information category corresponding to each sample network resource information in the sample network resource information set in an object network;
an information partitioning module 230, configured to determine, according to the shared information category, target sample network resource information meeting the information category partitioning requirement from the sample network resource information set;
an information sharing module 240, configured to share the target sample network resource information in the object network.
On the basis of the above, please refer to fig. 3, which shows a system 300 for intelligently controlling network resource sharing, which includes a processor 310 and a memory 320 that are communicated with each other, wherein the processor 310 is configured to read a computer program from the memory 320 and execute the computer program 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 is stored, which when executed implements the above-described method.
In summary, based on the above-mentioned solution, after receiving the key policy of the sample network resource information, the sample network resource information set may be obtained according to the key policy, and the sharing information type of each sample network resource information in the object network may be further determined, after determining the sharing information type, the intelligent control network resource sharing may be performed according to the sharing information type, so as to obtain the target sample network resource information meeting the dividing requirement of the information type included in the key policy, so as to share the target sample network resource information in the object network, and perform the intelligent control network resource sharing according to the requirement of the object on the intelligent control network resource sharing, so that the sample network resource information displayed in the object network meets the object requirement, and the dividing accuracy of the object on the sample network resource information may be effectively improved, and the division integrity of the object on the sample network resource information can be improved.
It should be appreciated that the system and its modules 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 be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed 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 code being provided, for example, on a carrier medium such as a diskette, 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 by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).
It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.
The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. 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 over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for the operation of various 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, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, 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 in a cloud computing environment, or as a service, such as a software as a service (SaaS).
Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose 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 that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Numerals describing the number of components, attributes, etc. are used in some embodiments, it being understood that such numerals used in the description of the embodiments are modified in some instances by the use of the modifier "about", "approximately" or "substantially". Unless otherwise indicated, "about", "approximately" or "substantially" indicates that the numbers allow for adaptive variation. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximations that may vary depending upon the desired properties of the individual embodiments. In some embodiments, the numerical parameter should take into account the specified significant digits and employ a general digit preserving approach. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of the range are approximations, in the specific examples, such numerical values are set forth as precisely as possible within the scope of the application.
The entire contents of each patent, patent application publication, and other material cited in this application, such as articles, books, specifications, publications, documents, and the like, are hereby incorporated by reference into this application. Except where the application is filed in a manner inconsistent or contrary to the present disclosure, and except where the claim is filed in its broadest scope (whether present or later appended to the application) as well. It is noted that the descriptions, definitions and/or use of terms in this application shall control if they are inconsistent or contrary to the statements and/or uses of the present application in the material attached to this application.
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 the present application. Thus, by way of example, and not limitation, alternative configurations of the embodiments of the present application can be viewed as being consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to only those embodiments explicitly described and depicted herein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (10)
1. A method for intelligently controlling network resource sharing is characterized by comprising the following steps:
responding to a key strategy of the sample network resource information, and acquiring a sample network resource information set to be shared, wherein the key strategy comprises an information category division requirement;
determining the sharing information type of each sample network resource information in the sample network resource information set corresponding to the object network;
according to the shared information type, target sample network resource information meeting the information type division requirement is determined from the sample network resource information set;
and sharing the target sample network resource information in the object network.
2. The method of claim 1, further comprising:
outputting a training network at the object network, wherein the training network comprises information type training content and is used for training the information type division requirement;
and acquiring a correction step of the information type training content, and generating the information type division requirement according to the correction step.
3. The method of claim 2, wherein the information category classification requirement comprises a classification information category criterion, and the obtaining a modification step for the information category training content and generating the information category classification requirement according to the modification step comprises:
acquiring a correction step of the information type training content, and determining a content division boundary corresponding to the information type training content according to the correction step;
acquiring a mapping relation between a division boundary and a range division boundary of the information type training content;
and determining the target information type corresponding to the content division boundary according to the mapping relation, and taking the target information type as the division information type standard.
4. The method of claim 1, wherein the determining the type of shared information corresponding to each sample network resource information in the sample network resource information set in the target network comprises:
determining content categories of key policies in any of the sample network resource information sets, the content categories including one or more of: knowledge category, data category, intelligence category, and image category;
and determining the shared information type of any sample network resource information in the object network according to the content type.
5. The method according to claim 4, wherein the determining the shared information category of any sample network resource information in the object network according to the content category comprises:
when the key content of any sample network resource information comprises a knowledge category, counting the global knowledge category of the key content, and determining the shared information category of any sample network resource information of the knowledge category in the object network according to the global knowledge category and the knowledge partition boundary;
when the key strategy of any sample network resource information comprises a material type, acquiring a display range of key content of the material type, and taking the display range as a shared information type of information in any sample network resource information of the material type in the object network;
when the key content of any sample network resource information comprises an intelligence category, counting the intelligence global number of the key strategy, and determining the shared information category of any sample network resource information of the intelligence category in the object network according to the intelligence global number and intelligence division boundary;
and when the key content of any sample network resource information comprises an image category, acquiring a display range of a key strategy of the image category, and taking the display range as the shared information category of any sample network resource information of the image category in the object network.
6. The utility model provides a system for intelligent control network resource sharing which characterized in that, includes data acquisition end and data processing terminal, data acquisition end with data processing terminal communication connection, data processing terminal specifically is used for:
responding to a key strategy of the sample network resource information, and acquiring a sample network resource information set to be shared, wherein the key strategy comprises an information category division requirement;
determining the sharing information type of each sample network resource information in the sample network resource information set corresponding to the object network;
according to the shared information type, target sample network resource information meeting the information type division requirement is determined from the sample network resource information set;
and sharing the target sample network resource information in the object network.
7. The system of claim 5, wherein the data processing terminal is specifically configured to:
outputting a training network at the object network, wherein the training network comprises information type training content and is used for training the information type division requirement;
and acquiring a correction step of the information type training content, and generating the information type division requirement according to the correction step.
8. The system of claim 7, wherein the data processing terminal is specifically configured to:
acquiring a correction step of the information type training content, and determining a content division boundary corresponding to the information type training content according to the correction step;
acquiring a mapping relation between a division boundary and a range division boundary of the information type training content;
and determining the target information type corresponding to the content division boundary according to the mapping relation, and taking the target information type as the division information type standard.
9. The system of claim 6, wherein the data processing terminal is specifically configured to:
determining content categories of key policies in any of the sample network resource information sets, the content categories including one or more of: knowledge category, data category, intelligence category, and image category;
and determining the shared information type of any sample network resource information in the object network according to the content type.
10. The system of claim 9, wherein the data processing terminal is specifically configured to:
when the key content of any sample network resource information comprises a knowledge category, counting the global knowledge category of the key content, and determining the shared information category of any sample network resource information of the knowledge category in the object network according to the global knowledge category and the knowledge partition boundary;
when the key content of any sample network resource information comprises a material type, acquiring a display range of the key content of the material type, and taking the display range as the shared information type of the information in any sample network resource information of the material type in the object network;
when the key content of any sample network resource information comprises an intelligence category, counting the intelligence global number of the key content, dividing a boundary according to the intelligence global number and the intelligence, and determining the shared information type of any sample network resource information of the intelligence category in the object network;
and when the key content of any sample network resource information comprises an image category, acquiring a display range of the key content of the image category, and taking the display range as the shared information category of any sample network resource information of the image category in the object network.
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