CN114816512B - Resource pool construction method and system and cloud platform - Google Patents
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Abstract
According to the resource pool construction method, the resource pool construction system and the cloud platform, the data resource pool key words can be obtained by identifying the resource items of the target data resource pool, the related resource index topics can be obtained by carrying out differentiation labeling on the data resource pool key words through the configured resource index analysis network, each resource index in the resource index library carries at least one resource index key word, and the configured resource index analysis network is configured based on at least one part of resource indexes in the resource index library, so that the resource index topics determined by the configured resource index analysis network can be used for accurately and quickly determining the target resource indexes matched with the target data resource pool in the resource index library. The method and the device can create the target resource index of the target data resource pool so as to be convenient for follow-up accurate and quick resource query and reduce unnecessary resource waste.
Description
Technical Field
The application relates to the technical field of resource pool processing, in particular to a resource pool construction method, a resource pool construction system and a cloud platform.
Background
With the continuous development of computer information technology, the types and scales of resource pools are continuously improved. As a cloud repository for software information and data resources, the richness and easy retrieval of resource pools are the key points of attention of most users. However, in practical applications, how to create resource indexes of resource pools with high quality to reduce the difficulty of searching the resource pools is a problem that needs to be overcome at present.
Disclosure of Invention
In order to solve the technical problems in the related art, the application provides a resource pool construction method, a resource pool construction system and a cloud platform.
In a first aspect, an embodiment of the present application provides a resource pool construction method, including: determining a target data resource pool; identifying resource items of the target data resource pool to determine data resource pool keywords of the target data resource pool; performing differentiation labeling on the data resource pool key words through a configured resource index analysis network to obtain at least one resource index theme corresponding to the data resource pool key words, wherein the configured resource index analysis network is obtained based on at least one part of resource index configuration in a resource index base, and each resource index in the resource index base carries at least one resource index key word; and constructing a target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index library.
For some independently implementable aspects, wherein the target data resource pool comprises a target application resource package, and wherein identifying resource items of the target data resource pool to determine data resource pool keywords of the target data resource pool comprises: collecting a plurality of sets of resource items from the target application resource package; performing keyword mining on each group of resource projects in the multiple groups of resource projects to acquire at least one first keyword corresponding to each group of resource projects; all first keywords corresponding to the multiple groups of resource items are used as undetermined keywords to be added into undetermined keyword groups, and keywords of the data resource pool of the target data resource pool are obtained based on the undetermined keywords in the undetermined keyword groups; correspondingly, obtaining the data resource pool key word of the target data resource pool based on the undetermined key word in the undetermined key word group comprises: determining the activity of each undetermined keyword in the undetermined keyword group; and cleaning the keywords to be determined with the liveness lower than the liveness judgment value from the keyword group to be determined so as to obtain the keywords of the data resource pool.
For some independently implementable aspects, the identifying resource items of the target data resource pool to determine data resource pool keywords of the target data resource pool further comprises: collecting log text from the target application resource package; performing keyword mining on the log text to obtain at least one second keyword; and taking the at least one second keyword as an undetermined keyword to be added into the undetermined keyword group.
For some independently implementable aspects, the identifying resource items of the target data resource pool to determine data resource pool keywords of the target data resource pool further comprises: collecting a visual record from the target application resource package; performing keyword mining on the visual record to obtain at least one third keyword; and taking the at least one third keyword as an undetermined keyword to be added into the undetermined keyword group.
For some independently implementable aspects, the method further comprises: obtaining the configured resource index analysis network in the following configuration mode; wherein, the configuration mode comprises: determining a configuration set based on a resource index in the resource index library, wherein configuration examples in the configuration set comprise a basic description of the resource index in the resource index library and a basic description translation corresponding to the basic description, and the basic description translation corresponding to the basic description carry the same resource index key word; determining a plurality of configuration examples carrying resource index keywords from the configuration set; and configuring the resource index analysis network through the plurality of configuration examples carrying the resource index key words and the corresponding resource index key words until the quantization error corresponding to the resource index analysis network is minimum, wherein the quantization error comprises a cost function value pointing to the resource index key words of the configuration examples.
For some independently implementable aspects, the constructing a target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index repository comprises: determining a resource index theme carrying the highest credibility coefficient from the at least one resource index theme; grouping the resource index theme carrying the highest credibility coefficient to obtain a first resource index theme array; determining a target resource index pointing to the target data resource pool from the resource index base based on the first resource index topic array and a resource index array corresponding to each resource index in the resource index base, wherein the resource index array is obtained by organizing the at least one resource index keyword carried by each resource index in the resource index base; correspondingly, determining a target resource index pointing to the target data resource pool from the resource index repository based on the first resource index topic array and the resource index array corresponding to each resource index in the resource index repository includes: comparing the first resource index theme array with the resource index array of each resource index in the resource index library; and determining a resource index corresponding to a resource index array carrying a resource index array with the commonality coefficient of the first resource index theme array being greater than the first commonality coefficient decision value from the resource index library as a target resource index pointing to the target data resource pool.
For some embodiments that can be implemented independently, the method comprises: the resource index array is obtained by organizing the at least one resource index keyword carried by each resource index in the resource index library according to the following steps: and performing grouping on the at least one resource index keyword by the consistent step of performing grouping on the resource index subject carrying the highest credibility coefficient to obtain at least one resource index keyword array, and performing global processing on the at least one resource index keyword array to obtain the resource index array.
For some independently implementable aspects, the constructing a target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index repository comprises: determining X resource index topics with the credibility coefficient close to the front X from the at least one resource index topic, wherein X is an integer not less than 1; determining a binding index between the X resource index topics and the at least one resource index keyword of each resource index in the resource index library; wherein the determining the binding index between the X resource index topics and the at least one resource index keyword of each resource index in the resource index library comprises: pointing to each resource index topic in the X resource index topics, and determining a common coefficient between the resource index topics and each resource index keyword in the at least one resource index keyword; determining the number of resource index keywords which carry a commonality coefficient higher than a second commonality coefficient decision value with the resource index topic of the X resource index topics from the at least one resource index keyword of each resource index; and determining the binding index based on the number of the resource index keywords which are contained in the at least one resource index keyword and carry the commonality coefficient larger than the second commonality coefficient judgment value. And determining a resource index corresponding to at least one resource index keyword which carries the highest binding index of the X resource index subjects from the resource index library as a target resource index pointing to the target data resource pool.
In a second aspect, the present application further provides a resource pool building system, including a resource pool building cloud platform and resource pool devices, which communicate with each other, where the resource pool building cloud platform is configured to: determining a target data resource pool; identifying resource items of the target data resource pool to determine data resource pool keywords of the target data resource pool; performing differentiation labeling on the data resource pool key words through a configured resource index analysis network to obtain at least one resource index theme corresponding to the data resource pool key words, wherein the configured resource index analysis network is obtained based on at least one part of resource index configuration in a resource index base, and each resource index in the resource index base carries at least one resource index key word; and constructing a target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index library.
In a third aspect, the present application further provides a resource pool building cloud platform, including a processor and a memory; the processor is connected with the memory in communication, and the processor is used for reading the computer program from the memory and executing the computer program to realize the method.
The data resource pool key words of the target data resource pool can be obtained by identifying the resource items of the target data resource pool, and the data resource pool key words of the target data resource pool can completely and abundantly represent the resource item information of the target data resource pool. Related resource index themes can be obtained by carrying out differential labeling on keywords of a data resource pool through the configured resource index analysis network, each resource index in the resource index library carries at least one resource index keyword, and the configured resource index analysis network is obtained based on at least one part of resource index configuration in the resource index library, so that the resource index themes determined by the configured resource index analysis network can be used for accurately and quickly determining target resource indexes matched with the target data resource pool in the resource index library. By the design, the target resource index of the target data resource pool can be created so as to facilitate subsequent accurate and quick resource query, and unnecessary resource waste is reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a schematic hardware structure diagram of a resource pool building cloud platform according to an embodiment of the present disclosure.
Fig. 2 is a schematic flowchart of a resource pool building method provided in an embodiment of the present application.
Fig. 3 is a schematic communication architecture diagram of an application environment of a resource pool building method according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
The method provided by the embodiment of the application can be executed in a resource pool construction cloud platform, a computer device or a similar operation device. Taking an example of operating on a resource pool construction cloud platform as an example, fig. 1 is a hardware structure block diagram of a resource pool construction cloud platform implementing a resource pool construction method according to an embodiment of the present application. As shown in fig. 1, resource pool building cloud platform 10 may include one or more (only one shown in fig. 1) processors 102 (processors 102 may include, but are not limited to, processing devices such as a microprocessor MCU or a programmable logic device FPGA, etc.) and a memory 104 for storing data, and optionally, may further include a transmission device 106 for communication functions. It can be understood by those of ordinary skill in the art that the structure shown in fig. 1 is only an illustration, and does not limit the structure of the resource pool building cloud platform. For example, resource pool building cloud platform 10 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 can be used for storing computer programs, for example, software programs and modules of application software, such as a computer program corresponding to a resource pool construction method in the embodiment of the present application, and the processor 102 executes various functional applications and data processing by running the computer programs stored in the memory 104, so as to implement the above-mentioned method. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 104 may further include memory remotely located from processor 102, which may be connected to the resource pool via a network to build cloud platform 10. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used to receive or transmit data via a network. The above-described specific example of the network may include a wireless network provided by a communication provider of the resource pool building cloud platform 10. In one example, the transmission device 106 includes a Network adapter (NIC), which can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
Based on this, please refer to fig. 2, where fig. 2 is a schematic flowchart of a resource pool building method provided in an embodiment of the present invention, the method is applied to a resource pool building cloud platform, and further, the method may include the following technical solutions recorded in step 11 and step 13.
Step 11, determining a target data resource pool; identifying resource items of the target data resource pool to determine data resource pool keywords of the target data resource pool.
In the embodiment of the present application, the target data resource pool may be understood as a data resource pool to be processed. A resource item may be understood as a series of resource description contents in a target data resource pool. The data resource pool key word can be understood as a data resource pool tag.
For one exemplary embodiment, the target pool of data resources comprises a target application resource package. Based on this, the resource items identified in the target data resource pool recorded in step 11 above to determine the data resource pool key of the target data resource pool may exemplarily include the contents recorded in steps 111 to 113.
And 111, collecting a plurality of groups of resource items from the target application program resource package.
Step 112, performing keyword mining on each group of resource projects in the multiple groups of resource projects to obtain at least one first keyword corresponding to each group of resource projects.
And 113, adding all first keywords corresponding to the multiple groups of resource items as undetermined keywords into an undetermined keyword group, and obtaining data resource pool keywords of the target data resource pool based on the undetermined keywords in the undetermined keyword group.
For an exemplary embodiment, the obtaining of the data resource pool keyword of the target data resource pool based on the pending keyword in the pending keyword group recorded in step 113 may include the following exemplary steps: determining the activity of each undetermined keyword in the undetermined keyword group; and cleaning the keywords to be determined with the liveness lower than the liveness judgment value from the keyword group to be determined so as to obtain the keywords of the data resource pool.
And when the content recorded in the steps 111 to 113 is implemented, performing keyword mining on each resource item in the multiple groups of resource items to determine a first keyword, and adding the first keyword as an undetermined keyword into an undetermined keyword group, so that the keywords of the data resource pool of the target data resource pool can be enriched.
For an exemplary embodiment, the identifying the resource item of the target data resource pool recorded in the above step 11 to determine the data resource pool keyword of the target data resource pool may further include the following steps: collecting log text from the target application resource package; performing keyword mining on the log text to obtain at least one second keyword; and taking the at least one second keyword as an undetermined keyword to be added into the undetermined keyword group.
Therefore, the keyword mining is carried out on the log text, and the richness of the keywords of the data resource pool of the target data resource pool can be improved.
For an exemplary embodiment, the identifying the resource item of the target data resource pool recorded in the above step 11 to determine the data resource pool keyword of the target data resource pool may further include the following steps: collecting a visual record from the target application resource package; performing keyword mining on the visual record to obtain at least one third keyword; and taking the at least one third keyword as an undetermined keyword to be added into the undetermined keyword group.
Therefore, the keyword mining is carried out on the visual records, and the richness of the keywords of the data resource pool of the target data resource pool can be improved.
Step 13, performing differentiation labeling on the data resource pool keywords through a configured resource index analysis network to obtain at least one resource index topic corresponding to the data resource pool keywords, wherein the configured resource index analysis network is obtained based on at least one part of resource index configuration in a resource index base, and each resource index in the resource index base carries at least one resource index keyword; and constructing a target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index library.
In the embodiment of the present application, the resource index analysis network may be understood as a neural network model. The data resource pool keywords are labeled differentially, so that the data resource pool keywords can be classified. Resource index topics can be understood as resource categories.
For an exemplary embodiment, the constructing of the target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index library recorded in step 13 may include the following steps: determining a resource index theme carrying the highest credibility coefficient from the at least one resource index theme; grouping the resource index theme carrying the highest credibility coefficient to obtain a first resource index theme array; and determining a target resource index pointing to the target data resource pool from the resource index library based on the first resource index topic array and a resource index array corresponding to each resource index in the resource index library, wherein the resource index array is obtained by organizing the at least one resource index keyword carried by each resource index in the resource index library.
In actual implementation, the first resource index theme array is obtained through the resource index theme carrying the highest credibility coefficient, so that the credibility and the accuracy of obtaining the target resource index can be improved.
For one exemplary embodiment, the method may illustratively comprise: obtaining the resource index array by performing grouping (which can be understood as vectorization) on the at least one resource index keyword carried by each resource index in the resource index library according to the following steps: and grouping the at least one resource index keyword by a consistent step of grouping the resource index subject carrying the highest credibility coefficient to obtain at least one resource index keyword array, and carrying out global processing on the at least one resource index keyword array to obtain the resource index array.
For an exemplary embodiment, the determining, from the resource index repository, a target resource index pointing to the target data resource pool based on the first resource index topic array and the resource index array corresponding to each resource index in the resource index repository, which is recorded above, may include the following: comparing the first resource index theme array with the resource index array of each resource index in the resource index library; and determining a resource index corresponding to a resource index array carrying a resource index array with the commonality coefficient of the first resource index theme array being greater than the first commonality coefficient decision value from the resource index library as a target resource index pointing to the target data resource pool. Therefore, errors of the obtained target resource indexes of the target data resource pool can be avoided.
For an exemplary embodiment, the constructing a target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index library recorded in step 13 above may include the following: determining X resource index topics with the credibility coefficient close to the front X from the at least one resource index topic, wherein X is an integer not less than 1; determining a binding index between the X resource index topics and the at least one resource index keyword of each resource index in the resource index library; and determining a resource index which carries at least one resource index keyword corresponding to the highest binding index of the X resource index subjects from the resource index library as a target resource index pointing to the target data resource pool. By the design, the target resource index matched with the target data resource pool can be accurately and quickly determined from the resource index library.
For an exemplary embodiment, the above recorded determining the binding index between the X resource index topics and the at least one resource index keyword of each resource index in the resource index library may exemplarily include: pointing to each resource index topic in the X resource index topics, and determining a common coefficient (which can be understood as similarity) between the resource index topic and each resource index key in the at least one resource index key; determining the number of resource index keywords which carry a commonality coefficient higher than a second commonality coefficient determination value with the resource index topic in the X resource index topics from the at least one resource index keyword of each resource index; and determining the binding index (matching degree) based on the number of the resource index keywords which are contained in the at least one resource index keyword and carry the commonality coefficient larger than the second commonality coefficient determination value. Therefore, the binding index can be determined quickly and effectively.
For one exemplary embodiment, the method may further include: obtaining the configured resource index analysis network in the following configuration mode; wherein, the configuration mode comprises: determining a configuration set based on a resource index in the resource index library, wherein a configuration example in the configuration set comprises a basic description of the resource index in the resource index library and a basic description translation corresponding to the basic description, and the basic description translation corresponding to the basic description carry the same resource index key word; determining a plurality of configuration examples carrying resource index keywords from the configuration set; and configuring the resource index analysis network through the plurality of configuration examples carrying the resource index key words and the corresponding resource index key words until the quantization error corresponding to the resource index analysis network is minimum, wherein the quantization error comprises a cost function value pointing to the resource index key words of the configuration examples. Therefore, the stability of the resource index analysis network can be improved.
In summary, the data resource pool keywords of the target data resource pool can be obtained by identifying the resource items of the target data resource pool, and the data resource pool keywords of the target data resource pool can completely and abundantly represent the resource item information of the target data resource pool. The configured resource index analysis network is used for carrying out differential labeling on the keywords of the data resource pool to obtain related resource index themes, each resource index in the resource index library carries at least one resource index keyword, and the configured resource index analysis network is obtained based on at least one part of resource index configuration in the resource index library, so that the resource index themes determined by the configured resource index analysis network can be used for accurately and quickly determining the target resource index matched with the target data resource pool in the resource index library. By the design, the target resource index of the target data resource pool can be created, so that accurate and quick resource query can be conveniently carried out subsequently, and unnecessary resource waste is reduced.
Based on the same or similar inventive concepts, as shown in fig. 3, this embodiment further provides an architectural schematic diagram of an application environment 30 of a resource pool building method, including a resource pool building cloud platform 10 and a resource pool device 20 that are in communication with each other, where the resource pool building cloud platform 10 and the resource pool device 20 implement or partially implement the technical solutions described in the above method embodiments when running.
Further, the present embodiment also provides a readable storage medium, on which a program is stored, which when executed by a processor implements the method described above.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (9)
1. A resource pool construction method is characterized by comprising the following steps:
determining a target data resource pool; identifying resource items of the target data resource pool to determine data resource pool keywords of the target data resource pool;
performing differentiation labeling on the data resource pool key words through a configured resource index analysis network to obtain at least one resource index theme corresponding to the data resource pool key words, wherein the configured resource index analysis network is obtained based on at least one part of resource index configuration in a resource index base, and each resource index in the resource index base carries at least one resource index key word; constructing a target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index library;
wherein the target data resource pool comprises a target application resource package, and wherein identifying resource items of the target data resource pool to determine data resource pool keywords for the target data resource pool comprises:
collecting a plurality of sets of resource items from the target application resource package;
performing keyword mining on each group of resource projects in the multiple groups of resource projects to acquire at least one first keyword corresponding to each group of resource projects;
all first keywords corresponding to the multiple groups of resource items are used as undetermined keywords to be added into undetermined keyword groups, and keywords of the data resource pool of the target data resource pool are obtained based on the undetermined keywords in the undetermined keyword groups;
correspondingly, obtaining the data resource pool key word of the target data resource pool based on the pending key word in the pending key word group comprises: determining the activity of each undetermined keyword in the undetermined keyword group; and cleaning the keywords to be determined with the liveness lower than the liveness judgment value from the keyword group to be determined so as to obtain the keywords of the data resource pool.
2. The method of claim 1, wherein the identifying resource items of the target data resource pool to determine data resource pool keywords of the target data resource pool further comprises:
collecting log text from the target application resource package;
performing keyword mining on the log text to obtain at least one second keyword;
and taking the at least one second keyword as an undetermined keyword to be added into the undetermined keyword group.
3. The method of claim 2, wherein the identifying resource items of the target data resource pool to determine data resource pool keywords of the target data resource pool further comprises:
collecting a visual record from the target application resource package;
performing keyword mining on the visual record to obtain at least one third keyword;
and taking the at least one third keyword as an undetermined keyword to be added into the undetermined keyword group.
4. The method of claim 1, further comprising: obtaining the configured resource index analysis network in the following configuration mode;
wherein, the configuration mode comprises:
determining a configuration set based on a resource index in the resource index library, wherein a configuration example in the configuration set comprises a basic description of the resource index in the resource index library and a basic description translation corresponding to the basic description, and the basic description translation corresponding to the basic description carry the same resource index key word;
determining a plurality of configuration examples carrying resource index keywords from the configuration set;
configuring the resource index analysis network through the plurality of configuration examples carrying the resource index keywords and the corresponding resource index keywords until the quantization error corresponding to the resource index analysis network is minimum, wherein the quantization error comprises a cost function value pointing to the resource index keywords of the configuration examples.
5. The method of claim 1, wherein the constructing a target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index repository comprises:
determining a resource index theme carrying the highest credibility coefficient from the at least one resource index theme;
grouping the resource index theme carrying the highest credibility coefficient to obtain a first resource index theme array;
determining a target resource index pointing to the target data resource pool from the resource index base based on the first resource index topic array and a resource index array corresponding to each resource index in the resource index base, wherein the resource index array is obtained by organizing the at least one resource index keyword carried by each resource index in the resource index base;
correspondingly, determining a target resource index pointing to the target data resource pool from the resource index repository based on the first resource index topic array and the resource index array corresponding to each resource index in the resource index repository includes: comparing the first resource index theme array with the resource index array of each resource index in the resource index library; and determining a resource index corresponding to a resource index array carrying a resource index array with a commonality coefficient of the first resource index subject array being greater than a first commonality coefficient decision value from the resource index library as a target resource index pointing to the target data resource pool.
6. The method of claim 5, wherein the method comprises:
the resource index array is obtained by organizing the at least one resource index keyword carried by each resource index in the resource index library according to the following steps:
and performing grouping on the at least one resource index keyword by the consistent step of performing grouping on the resource index subject carrying the highest credibility coefficient to obtain at least one resource index keyword array, and performing global processing on the at least one resource index keyword array to obtain the resource index array.
7. The method of claim 1, wherein the constructing a target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index repository comprises: determining X resource index topics with the credibility coefficient close to the front X from the at least one resource index topic, wherein X is an integer not less than 1; determining a binding index between the X resource index topics and the at least one resource index keyword of each resource index in the resource index library;
wherein the determining the binding index between the X resource index topics and the at least one resource index keyword of each resource index in the resource index library comprises: pointing to each resource index topic in the X resource index topics, and determining a common coefficient between the resource index topic and each resource index key word in the at least one resource index key word; determining the number of resource index keywords which carry a commonality coefficient higher than a second commonality coefficient decision value with the resource index topic of the X resource index topics from the at least one resource index keyword of each resource index; determining the binding index based on the number of the resource index keywords which are contained in the at least one resource index keyword and carry the commonality coefficient larger than the second commonality coefficient judgment value; and determining a resource index which carries at least one resource index keyword corresponding to the highest binding index of the X resource index subjects from the resource index library as a target resource index pointing to the target data resource pool.
8. A resource pool construction system is characterized by comprising a resource pool construction cloud platform and resource pool equipment which are communicated with each other, wherein the resource pool construction cloud platform is used for: determining a target data resource pool; identifying resource items of the target data resource pool to determine data resource pool keywords of the target data resource pool; performing differentiation labeling on the data resource pool key words through a configured resource index analysis network to obtain at least one resource index theme corresponding to the data resource pool key words, wherein the configured resource index analysis network is obtained based on at least one part of resource index configuration in a resource index base, and each resource index in the resource index base carries at least one resource index key word; constructing a target resource index pointing to the target data resource pool based on the at least one resource index topic and the resource index library;
wherein the target data resource pool comprises a target application resource package, and wherein identifying resource items of the target data resource pool to determine data resource pool keywords for the target data resource pool comprises:
collecting a plurality of sets of resource items from the target application resource package;
performing keyword mining on each group of resource projects in the multiple groups of resource projects to acquire at least one first keyword corresponding to each group of resource projects;
all first keywords corresponding to the multiple groups of resource items are used as undetermined keywords to be added into undetermined keyword groups, and keywords of the data resource pool of the target data resource pool are obtained based on the undetermined keywords in the undetermined keyword groups;
correspondingly, obtaining the data resource pool key word of the target data resource pool based on the undetermined key word in the undetermined key word group comprises: determining the activity of each undetermined keyword in the undetermined keyword group; and cleaning the keywords to be determined with the liveness lower than the liveness judgment value from the keyword group to be determined so as to obtain the keywords of the data resource pool.
9. A resource pool building cloud platform is characterized by comprising a processor and a memory; the processor is connected in communication with the memory, and the processor is configured to read the computer program from the memory and execute the computer program to implement the method of any one of claims 1 to 7.
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