Subject talent evaluation control method and system based on research popularity index, and medium

Abstract

The invention discloses a subject talent evaluation control method and system based on a research popularity index and a medium, and the method comprises the following steps: obtaining the identity information of a target person, and obtaining a subject research result of the target person based on the identity information; the research field and scientific research competitiveness of target personnel are analyzed based on subject research results; screening out matched keywords from the subject research results based on the research field, and analyzing research popularity index information of the research field according to the keywords; analyzing competitive advantage information of the subject research results based on scientific research competitiveness; constructing a talent evaluation model, and inputting the research popularity index information and the competitive advantage information into the talent evaluation model to obtain subject talent evaluation information; through analyzing the research field and scientific research competitiveness of the target personnel, the popularity index information and the competitive advantage information are analyzed and researched, talent evaluation is performed on the target personnel through the talent evaluation model, and the evaluation precision is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of talent evaluation, and in particular to a subject talent evaluation control method, system and medium based on a research heat index. Background Art

[0002] At present, talent evaluation has developed into a unique theory and system, which has played an important role in discovering, cultivating, using and motivating talents. However, the talent evaluation mechanism in the existing technology still has problems such as insufficient classification evaluation, low degree of social evaluation, and insufficient implementation of the autonomy of the employer. Therefore, it is necessary to take a number of measures to optimize scientific research management and improve scientific research performance, clean up the backward talent evaluation standards of "only papers, only titles, only academic qualifications, and only awards", so that the talent evaluation system and mechanism can adapt to the current society's higher requirements for talent evaluation. After breaking the talent evaluation standards of "only papers, only titles, only academic qualifications, and only awards", how to establish new talent evaluation standards is a key issue that needs to be urgently addressed in the existing technology. Summary of the invention

[0003] The purpose of the present invention is to propose a subject talent evaluation control method based on research heat index, comprising the following steps:

[0004] Obtain the identity information of the target person, and obtain the subject research results of the target person based on the identity information;

[0005] Analyze the research fields and scientific research competitiveness of target personnel based on disciplinary research results;

[0006] Based on the research field, matching keywords are selected from the research results of the discipline, and the research heat index information of the research field is analyzed according to the keywords;

[0007] Competitive advantage information based on scientific research competitiveness analysis of disciplinary research results;

[0008] Construct a talent evaluation model, input research heat index information and competitive advantage information into the talent evaluation model, and obtain subject talent evaluation information.

[0009] Furthermore, the identity information of the target person is obtained, and the subject research results of the target person are obtained based on the identity information, specifically including:

[0010] Obtain the target person's identity information, including the target person's name, education background, university of graduation, major studied, and work experience;

[0011] Obtain research databases based on big data, including paper databases, document databases, scientific research project databases, journal databases, and patent databases;

[0012] Screening literature, papers, scientific research projects, journals and patents that match the target personnel based on the research database;

[0013] Analyze the publication quantity, citation count and citation frequency of the target person’s matching literature, papers, scientific research projects, journals and patents to obtain the target person’s subject research results.

[0014] Furthermore, the research fields and scientific research competitiveness of target personnel are analyzed based on their disciplinary research results, including:

[0015] Obtain disciplinary research results, and analyze the research directions of literature, papers, scientific research projects, journals and patents based on disciplinary research results;

[0016] Analyze the research field of the target personnel based on their research direction;

[0017] Analyze the influence and scientific research value of literature, papers, scientific research projects, journals and patents based on disciplinary research results;

[0018] Analyze the influence and scientific research value to obtain scientific research competitiveness.

[0019] Furthermore, based on the research field, matching keywords are selected from the subject research results, and the research heat index information of the research field is analyzed according to the keywords, including:

[0020] Get matching research hot words based on research fields;

[0021] Obtain document information of subject research results and establish several document extraction words based on the document information;

[0022] Match the research hot words with the document extraction words to obtain the matching degree;

[0023] Determine whether the matching degree is greater than or equal to the set matching degree threshold;

[0024] If it is greater than or equal to the set matching threshold, the keywords matching the research results are obtained;

[0025] If it is less than or equal to the set matching threshold, the document extraction word corresponding to the document information is adjusted and matched with the research hot words for a second time.

[0026] Furthermore, a talent evaluation model is constructed, which specifically includes:

[0027] Based on big data, historical research heat index information, competitive advantage information and matching human evaluation information are obtained to establish a data set;

[0028] Iteratively train the initial model based on the data set to obtain training results;

[0029] Determining whether the training result converges;

[0030] If converged, a talent evaluation model is generated;

[0031] If it does not converge, adjust the model hyperparameters until the model converges.

[0032] Furthermore, the research heat index information and competitive advantage information are input into the talent evaluation model to obtain the subject talent evaluation information, including:

[0033] Obtain the talent evaluation model after training and the research heat index information and competitive advantage information of the target personnel;

[0034] Input the target personnel's research heat index information and competitive advantage information into the talent evaluation model and output the talent evaluation results;

[0035] Analyze the talent evaluation results based on the scoring system to obtain the evaluation scores;

[0036] Analyze the excellence level of target personnel based on evaluation scores;

[0037] Talent evaluation information is obtained based on the talent evaluation results and the excellence level of the target personnel.

[0038] The present invention also provides a subject talent evaluation control system based on the research heat index, comprising a processor, a memory and at least one program, wherein the program is stored in the memory and configured to be executed by the processor, and the program includes instructions for executing the subject talent evaluation control method based on the research heat index as described in any one of the above items.

[0039] The present invention also provides a computer-readable storage medium, which stores a computer program, and the computer program enables a computer to execute to implement any of the above-mentioned subject talent evaluation control methods based on the research heat index.

[0040] Due to the application of the above technical solution, the present invention has the following advantages compared with the prior art:

[0041] The present invention analyzes the research field and scientific research competitiveness of the target personnel, and then analyzes the research heat index information and competitive advantage information, and performs talent evaluation on the target personnel through a talent evaluation model to improve the evaluation accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A flow chart of a subject talent evaluation control method based on a research heat index provided by an embodiment of the present invention is shown;

[0043] Figure 2A flow chart showing the subject research achievement analysis of target personnel in the subject talent evaluation control method based on the research heat index provided in this embodiment is shown;

[0044] Figure 3 A flow chart of the research field and scientific research competitiveness analysis of the subject talent evaluation control method based on the research heat index provided in this embodiment is shown. DETAILED DESCRIPTION

[0045] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0046] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0047] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0048] like Figure 1-Figure 3 As shown, the embodiment of the present invention provides a subject talent evaluation control method based on the research heat index, comprising the following steps:

[0049] S101, obtaining the identity information of the target person, and obtaining the subject research results of the target person based on the identity information;

[0050] S102, analyze the research field and scientific research competitiveness of target personnel based on disciplinary research results;

[0051] S103, based on the research field, select matching keywords from the subject research results, and analyze the research heat index information of the research field according to the keywords;

[0052] S104, Competitive advantage information of disciplinary research results based on scientific research competitiveness analysis;

[0053] S105, constructing a talent evaluation model, inputting the research heat index information and competitive advantage information into the talent evaluation model, and obtaining subject talent evaluation information.

[0054] According to an embodiment of the present invention, obtaining the identity information of a target person, and obtaining the subject research results of the target person based on the identity information specifically includes:

[0055] S201, obtaining the identity information of the target person, the identity information including the name, education background, graduation school, major and work experience of the target person;

[0056] S202, obtain research database based on big data, including paper database, document database, scientific research project database, journal database and patent database;

[0057] S203, screening literature, papers, scientific research projects, journals and patents matching the target personnel based on the research database;

[0058] S204: Analyze the publication quantity, citation count and citation frequency of the target person’s matching literature, papers, scientific research projects, journals and patents to obtain the target person’s subject research results.

[0059] According to an embodiment of the present invention, the research field and scientific research competitiveness of the target personnel are analyzed based on the subject research results, specifically including:

[0060] S301, obtain disciplinary research results, and analyze the research directions of literature, papers, scientific research projects, journals and patents based on disciplinary research results;

[0061] S302, analyzing the research field of the target person based on the research direction;

[0062] S303, analyze the influence and scientific research value of literature, papers, scientific research projects, journals and patents based on disciplinary research results;

[0063] S304, analyze the influence and scientific research value to obtain scientific research competitiveness.

[0064] According to an embodiment of the present invention, matching keywords are screened out from the subject research results based on the research field, and the research heat index information of the research field is analyzed according to the keywords, specifically including:

[0065] Get matching research hot words based on research fields;

[0066] Obtain document information of subject research results and establish several document extraction words based on the document information;

[0067] Match the research hot words with the document extraction words to obtain the matching degree;

[0068] Determine whether the matching degree is greater than or equal to the set matching degree threshold;

[0069] If it is greater than or equal to the set matching threshold, the keywords matching the research results are obtained;

[0070] If it is less than or equal to the set matching threshold, the document extraction word corresponding to the document information is adjusted and matched with the research hot words for a second time.

[0071] According to an embodiment of the present invention, constructing a talent evaluation model specifically includes:

[0072] Based on big data, historical research heat index information, competitive advantage information and matching human evaluation information are obtained to establish a data set;

[0073] Iteratively train the initial model based on the data set to obtain training results;

[0074] Determine whether the training results converge;

[0075] If converged, a talent evaluation model is generated;

[0076] If it does not converge, adjust the model hyperparameters until the model converges.

[0077] According to an embodiment of the present invention, the research heat index information and the competitive advantage information are input into the talent evaluation model to obtain the subject talent evaluation information, which specifically includes:

[0078] Obtain the talent evaluation model after training and the research heat index information and competitive advantage information of the target personnel;

[0079] Input the target personnel's research heat index information and competitive advantage information into the talent evaluation model and output the talent evaluation results;

[0080] Analyze the talent evaluation results based on the scoring system to obtain the evaluation scores;

[0081] Analyze the excellence level of target personnel based on evaluation scores;

[0082] Talent evaluation information is obtained based on the talent evaluation results and the excellence level of the target personnel.

[0083] Due to the application of the above technical solution, the present invention has the following advantages compared with the prior art:

[0084] The present invention analyzes the research field and scientific research competitiveness of the target personnel, and then analyzes the research heat index information and competitive advantage information, and performs talent evaluation on the target personnel through a talent evaluation model to improve the evaluation accuracy.

[0085] This embodiment also provides a subject talent evaluation control system based on the research heat index, including a processor, a memory and at least one program, wherein the program is stored in the memory and is configured to be executed by the processor, and the program includes instructions for executing any of the above-mentioned subject talent evaluation control methods based on the research heat index.

[0086] Those skilled in the art will appreciate that, for ease of description, the example in which both the memory and the processor are provided with one is used for description. In an actual terminal or server, there may be multiple processors and memories. The memory may also be referred to as a storage medium or a storage device, etc., which is not limited in the embodiments of the present application.

[0087] It should be understood that in the embodiments of the present application, the processor may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The processor may also be a general-purpose microprocessor, graphics processing unit (GPU), or one or more integrated circuits for executing related programs to implement the functions required to be executed in the embodiments of the present application.

[0088] The processor can also be an integrated circuit chip with signal processing capabilities. In the implementation process, the various steps of the present application can be completed by the integrated logic circuit of the hardware in the processor or the instructions in the form of software. The above-mentioned processor can implement or execute the various methods, steps and logic block diagrams disclosed in the embodiments of the present application. The steps of the method disclosed in the embodiments of the present application can be directly embodied as a hardware decoding processor to be executed, or a combination of hardware and software modules in the decoding processor to be executed. The software module can be located in a random access memory, a flash memory and a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register and other mature storage media in the art. The storage medium is located in the memory, and the processor reads the information in the memory, and combines its hardware to complete the functions required to be performed by the unit included in the method, device and storage medium of the embodiment of the present application.

[0089] It should also be understood that the memory mentioned in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache.

[0090] By way of example but not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DR RAM).

[0091] The memory may also be a read-only optical disc (Compact Disc Read-Only Memory, CD-ROM) or other optical disc storage, optical disc storage (including compressed optical disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory may be independent and connected to the processor via a bus. The memory may also be integrated with the processor, and the memory may store a program. When the program stored in the memory is executed by the processor, the processor is used to execute the various steps of the determination method in the above-mentioned embodiment of the present application.

[0092] It should be noted that when the processor is a general-purpose processor, DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, the memory (storage module) is integrated into the processor. It should be noted that the memory described herein is intended to include but is not limited to these and any other suitable types of memory.

[0093] It should be understood that the term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0094] In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in a processor or an instruction in the form of software. The steps of the method disclosed in conjunction with the embodiment of the present application can be directly embodied as a hardware processor for execution, or a combination of hardware and software modules in a processor for execution. The software module can be located in a mature storage medium in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory, and completes the steps of the above method in conjunction with its hardware. To avoid repetition, it is not described in detail here.

[0095] Those skilled in the art will appreciate that the various illustrative logical blocks (ILBs) and steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0096] In the above embodiments, all or part of the embodiments may be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments may be implemented in the form of a program product of computer programming. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a processor, all or part of the processes or functions according to the embodiments of the present application are generated. The computer may be a general-purpose computer, a computer network, or other programmable device.

[0097] This embodiment also provides a computer-readable storage medium, which stores a computer program. The computer program enables a computer to execute to implement the above-mentioned subject talent evaluation control method based on the research heat index.

[0098] It should be noted that computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center by wired (e.g., coaxial cable, optical fiber) or wireless (e.g., infrared, wireless, microwave, etc.) means, or can be transmitted from one website, computer, server or data center to a mobile phone processor by wired means. Computer-readable storage media can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media. Available media can be magnetic media (e.g., floppy disk, hard disk), optical media (e.g., DVD), or semiconductor media (e.g., solid-state hard disk), etc.

[0099] Finally, it should be noted that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for evaluating and controlling subject talents based on research heat index, characterized in that: The following steps are involved: Obtain the identity information of the target person, and obtain the subject research results of the target person based on the identity information; Analyze the research fields and scientific research competitiveness of target personnel based on disciplinary research results; Based on the research field, matching keywords are selected from the research results of the discipline, and the research heat index information of the research field is analyzed according to the keywords; Competitive advantage information based on scientific research competitiveness analysis of disciplinary research results; Construct a talent evaluation model, input research heat index information and competitive advantage information into the talent evaluation model, and obtain subject talent evaluation information.

2. The subject talent evaluation control method based on research heat index as claimed in claim 1 is characterized in that: Obtain the target person's identity information, and obtain the target person's subject research results based on the identity information, including: Obtain the target person's identity information, including the target person's name, education background, university of graduation, major studied, and work experience; Obtain research databases based on big data, including paper databases, document databases, scientific research project databases, journal databases, and patent databases; Screening literature, papers, scientific research projects, journals and patents that match the target personnel based on the research database; Analyze the publication quantity, citation count and citation frequency of the target person’s matching literature, papers, scientific research projects, journals and patents to obtain the target person’s subject research results.

3. The subject talent evaluation control method based on research heat index as claimed in claim 2 is characterized in that: Analyze the research fields and scientific research competitiveness of target personnel based on disciplinary research results, including: Obtain disciplinary research results, and analyze the research directions of literature, papers, scientific research projects, journals and patents based on disciplinary research results; Analyze the research field of the target personnel based on their research direction; Analyze the influence and scientific research value of literature, papers, scientific research projects, journals and patents based on disciplinary research results; Analyze the influence and scientific research value to obtain scientific research competitiveness.

4. The subject talent evaluation control method based on research heat index as claimed in claim 3 is characterized in that: Based on the research field, matching keywords are selected from the research results of the discipline, and the research heat index information of the research field is analyzed according to the keywords, including: Get matching research hot words based on research fields; Obtain document information of subject research results and establish several document extraction words based on the document information; Match the research hot words with the document extraction words to obtain the matching degree; Determine whether the matching degree is greater than or equal to the set matching degree threshold; If it is greater than or equal to the set matching threshold, the keywords matching the research results are obtained; If it is less than or equal to the set matching threshold, the document extraction word corresponding to the document information is adjusted and matched with the research hot words for a second time.

5. The subject talent evaluation control method based on research heat index according to claim 4 is characterized in that: Construct a talent evaluation model, including: Based on big data, historical research heat index information, competitive advantage information and matching human evaluation information are obtained to establish a data set; Iteratively train the initial model based on the data set to obtain training results; Determining whether the training result converges; If converged, a talent evaluation model is generated; If it does not converge, adjust the model hyperparameters until the model converges.

6. The subject talent evaluation control method based on research heat index as claimed in claim 5 is characterized in that: Input the research heat index information and competitive advantage information into the talent evaluation model to obtain the subject talent evaluation information, including: Obtain the talent evaluation model after training and the research heat index information and competitive advantage information of the target personnel; Input the target personnel's research heat index information and competitive advantage information into the talent evaluation model and output the talent evaluation results; Analyze the talent evaluation results based on the scoring system to obtain the evaluation scores; Analyze the excellence level of target personnel based on evaluation scores; Talent evaluation information is obtained based on the talent evaluation results and the excellence level of the target personnel.

7. A subject talent evaluation control system based on research heat index, characterized in that: It includes a processor, a memory and at least one program, wherein the program is stored in the memory and is configured to be executed by the processor, and the program includes instructions for executing the subject talent evaluation control method based on the research heat index as described in any one of claims 1-6.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which enables a computer to execute to implement the subject talent evaluation control method based on the research heat index described in any one of claims 1 to 6.

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