Employment guidance teaching system and method based on artificial intelligence AIGC

Abstract

The invention provides an employment guidance teaching system based on artificial intelligence AIGC and a method thereof. The employment guidance teaching system comprises an artificial intelligence AIGC analysis platform, a data acquisition module, a resume analysis module, a data matching module, a capability analysis module, a resource allocation module and a resource pushing module. The data acquisition module acquires user resume data and employment enterprises; the resume analysis module analyzes the resume data of the user to obtain an applied post, a first working skill and a working skill quantity; the data matching module obtains a second working skill based on the applicant enterprise and the applicant post; the ability analysis module determines a target working skill based on the first working skill and the second working skill; the resource allocation module obtains a resource allocation score according to the target working skills and the number of the working skills, and obtains a teaching resource video based on the resource allocation score; and the resource pushing module pushes the teaching resource video to a user terminal corresponding to the target user. The employment success rate of the user is improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an employment guidance teaching system and method based on artificial intelligence AIGC. Background Art

[0002] The teaching mode of traditional career guidance courses often remains in the traditional lecture-style and cramming teaching methods, lacking interactivity and participation. As a result, students passively accept knowledge in class and are unable to give full play to their subjective initiative and creativity. In addition, traditional career guidance courses usually adopt large-class teaching methods, which makes it difficult to provide targeted guidance based on the personalized needs of different students. As a result, students ultimately lack targeted advice and help in the job search process. Summary of the invention

[0003] The present invention provides an employment guidance teaching system and method based on artificial intelligence AIGC, which are used to provide personalized employment guidance teaching for users and improve the employment success rate of users.

[0004] In a first aspect, the present invention provides an employment guidance teaching system based on artificial intelligence AIGC, the employment guidance teaching system comprising an artificial intelligence AIGC analysis platform, a data acquisition module, a resume analysis module, a data matching module, a capability analysis module, a resource allocation module and a resource push module;

[0005] Among them, the artificial intelligence AIGC analysis center is respectively connected with the data acquisition module, the resume analysis module, the data matching module, the capability analysis module, the resource allocation module and the resource push module to manage the data of each module;

[0006] A data acquisition module is used to acquire the user resume data and the applied enterprise input by the target user into the employment guidance teaching system; the applied enterprise is the enterprise that the target user needs to apply for;

[0007] A resume analysis module, used to analyze the user resume data to obtain the job position, the first job skill and the number of job skills of the first job skill in the user resume data;

[0008] A data matching module, for obtaining the second working skill required by the applicant company for the applicant position based on the applicant company and the applicant position;

[0009] A capability analysis module, configured to determine a target work skill of the target user based on the first work skill and the second work skill; the target work skill indicates a work skill in which the first work skill does not exist in the second work skill;

[0010] A resource allocation module, used to obtain a resource allocation score of the target user according to the target job skill and the number of job skills, and to obtain a teaching resource video for employment guidance for the target user based on the resource allocation score;

[0011] The resource push module is used to push the teaching resource video to the user terminal corresponding to the target user, so that the target user can learn skills according to the teaching resource video.

[0012] In a second aspect, the present invention further provides an employment guidance teaching method based on artificial intelligence AIGC, which is applied to the employment guidance teaching system based on artificial intelligence AIGC described in the first aspect, and the employment guidance teaching method based on artificial intelligence AIGC includes:

[0013] Obtaining user resume data and the company to be applied for input by the target user; the company to be applied for is the company that the target user wants to apply for;

[0014] Analyze the user resume data to obtain the job position, the first job skill, and the number of job skills of the first job skill in the user resume data;

[0015] Based on the applicant company and the applicant position, obtaining the second job skill required by the applicant company for the applicant position;

[0016] Determining a target work skill of the target user based on the first work skill and the second work skill; the target work skill indicates a work skill of the second work skill that does not include the first work skill;

[0017] Obtaining a resource allocation score for the target user according to the target job skill and the number of job skills, and obtaining a teaching resource video for job guidance for the target user based on the resource allocation score;

[0018] The teaching resource video is pushed to the user terminal corresponding to the target user, so that the target user can learn skills according to the teaching resource video.

[0019] According to the employment guidance teaching method based on artificial intelligence AIGC provided by the present invention, obtaining the resource allocation score of the target user according to the target job skills and the number of job skills includes:

[0020] Obtain the skill type of the target job skill; the skill type includes a first skill type, a second skill type and a third skill type; the first skill type indicates a basic skill type, the second skill type indicates a conventional application skill type, and the third skill type indicates a professional skill type corresponding to the job position; the first skill type includes level 4 English, level 6 English and computer level 2; the second skill type includes word level 2, excel level 2 and wps level 2;

[0021] A resource allocation score of the target user is obtained according to the target work skill and the number of work skills.

[0022] According to the employment guidance teaching method based on artificial intelligence AIGC provided by the present invention, obtaining the resource allocation score of the target user according to the target job skills and the number of job skills includes:

[0023] If the skill type is the first skill type, the second skill type, or the third skill type, then a first difficulty coefficient and a first skill score are obtained based on the matching of the first skill type, the second skill type, or the third skill type;

[0024] The resource allocation score is obtained based on a first calculation formula, the first difficulty coefficient, the first skill score, and the number of work skills; the first calculation formula is specifically as follows:

[0025] F={a1*K1+(1-a1)*M} / 2

[0026] Among them, F represents the resource allocation score, a1 represents the first difficulty coefficient, K1 represents the first skill score, and M represents the score corresponding to the number of work skills.

[0027] According to the employment guidance teaching method based on artificial intelligence AIGC provided by the present invention, obtaining the resource allocation score of the target user according to the target job skills and the number of job skills includes:

[0028] If the skill type is a first skill type and a second skill type, a second difficulty coefficient and a second skill score are obtained based on matching the first skill type and the second skill type;

[0029] The resource allocation score is obtained based on a second calculation formula, the second difficulty coefficient, the second skill score, and the number of work skills; the second calculation formula is as follows:

[0030]

[0031] Among them, F represents the resource allocation score, a2 represents the second difficulty coefficient, K2 represents the second skill score, and M represents the score corresponding to the number of work skills.

[0032] According to the employment guidance teaching method based on artificial intelligence AIGC provided by the present invention, obtaining the resource allocation score of the target user according to the target job skills and the number of job skills includes:

[0033] If the skill type is the first skill type and the third skill type, a third difficulty coefficient and a third skill score are obtained based on matching the first skill type and the third skill type;

[0034] The resource allocation score is obtained based on a third calculation formula, the third difficulty coefficient, the third skill score and the number of work skills; the third calculation formula is as follows:

[0035]

[0036] Among them, F represents the resource allocation score, a3 represents the third difficulty coefficient, K3 represents the third skill score, and M represents the score corresponding to the number of work skills.

[0037] According to the employment guidance teaching method based on artificial intelligence AIGC provided by the present invention, obtaining the resource allocation score of the target user according to the target job skills and the number of job skills includes:

[0038] If the skill type is the second skill type and the third skill type, a fourth difficulty coefficient and a fourth skill score are obtained based on matching the second skill type and the third skill type;

[0039] The resource allocation score is obtained based on a fourth calculation formula, the fourth difficulty coefficient, the fourth skill score and the number of work skills; the fourth calculation formula is as follows:

[0040] F=0.5*[a4*K4 2 +(1-a4)*M 2 ]

[0041] Among them, F represents the resource allocation score, a4 represents the fourth difficulty coefficient, K4 represents the fourth skill score, and M represents the score corresponding to the number of work skills.

[0042] According to the employment guidance teaching method based on artificial intelligence AIGC provided by the present invention, the employment guidance teaching method also includes:

[0043] If the skill type is the first skill type, the second skill type, or the third skill type, the preset score is set as the resource allocation score.

[0044] In a third aspect, the present invention also provides an electronic device, comprising: a memory for storing a computer software program; a processor for reading and executing the computer software program, thereby realizing an employment guidance teaching system based on artificial intelligence AIGC as described in any one of the above.

[0045] In a fourth aspect, the present invention also provides a non-transitory computer-readable storage medium, in which a computer software program is stored. When the computer software program is executed by a processor, it implements an employment guidance teaching system based on artificial intelligence AIGC as described in any of the above.

[0046] In a fifth aspect, the present invention also provides a computer program product, including a computer program, which, when executed by a processor, implements an employment guidance teaching system based on artificial intelligence AIGC as described in any one of the above.

[0047] The employment guidance teaching system based on artificial intelligence AIGC provided by the embodiment of the present invention includes the employment guidance teaching system including artificial intelligence AIGC analysis center, data acquisition module, resume analysis module, data matching module, capability analysis module, resource allocation module and resource push module; the artificial intelligence AIGC analysis center is respectively connected with the data acquisition module, resume analysis module, data matching module, capability analysis module, resource allocation module and resource push module to perform data management on each module; the data acquisition module is used to obtain the user resume data and the applied enterprise input by the target user into the employment guidance teaching system; the resume analysis module is used to analyze the user resume data to obtain the applied position, the first job skill and the number of working skills of the first job skill in the user resume data; the data matching module is used to obtain based on the applied enterprise and the applied position The second job skill required by the applying company for the job; a capability analysis module, which is used to determine the target job skill of the target user based on the first job skill and the second job skill; a resource allocation module, which is used to obtain the resource allocation score of the target user according to the target job skill and the number of job skills, and obtain the teaching resource video for employment guidance for the target user based on the resource allocation score; a resource push module, which is used to push the teaching resource video to the user terminal corresponding to the target user, so that the target user can learn skills according to the teaching resource video. Therefore, through artificial intelligence AIGC, it is possible to provide users with teaching resource videos that suit the user according to their resume data and the applying company. Therefore, users can conduct personalized learning according to the teaching resource video, so as to provide users with personalized employment guidance teaching and improve the user's employment success rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a schematic diagram of an employment guidance teaching system based on artificial intelligence AIGC provided by the present invention;

[0049] Figure 2 It is a schematic diagram of the employment guidance teaching method based on artificial intelligence AIGC provided by the present invention;

[0050] Figure 3 A schematic diagram of an electronic device according to an embodiment of the present invention;

[0051] Figure 4 A schematic diagram of an embodiment of a computer-readable storage medium provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0053] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of "plurality" is two or more, unless otherwise clearly and specifically defined.

[0054] In the description of the present invention, the term "for example" is used to mean "used as an example, illustration or explanation". Any embodiment described as "for example" in the present invention is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid obscuring the description of the present invention with unnecessary details. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present invention.

[0055] Reference Figure 1 , Figure 1It is a schematic diagram of an employment guidance teaching system based on artificial intelligence AIGC provided by the present invention, and the employment guidance teaching system based on artificial intelligence AIGC includes an artificial intelligence AIGC analysis center, a data acquisition module, a resume analysis module, a data matching module, a capability analysis module, a resource allocation module, and a resource push module. Among them, the artificial intelligence AIGC analysis center is respectively connected with the data acquisition module, the resume analysis module, the data matching module, the capability analysis module, the resource allocation module, and the resource push module to perform data management on each module.

[0056] Optionally, the data acquisition module acquires the user resume data and the applied company input by the target user into the employment guidance teaching system, wherein the applied company is the company that the target user needs to apply for.

[0057] Optionally, the resume analysis module analyzes the user resume data, specifically by identifying the user resume data through an OCR text recognition algorithm, and extracting keywords in the user resume data, such as keywords corresponding to the applied position, keywords corresponding to work skills, work skills corresponding to work experience, etc., thereby obtaining the applied position, the first work skill, and the number of work skills of the first work skill in the user resume data.

[0058] Optionally, the data matching module can obtain the job application requirements of the company for each position through the big data database based on the company and the position, so the second job skill required by the position in the user's resume data can be obtained.

[0059] Optionally, the capability analysis module determines the target work skill of the target user based on the first work skill and the second work skill, wherein the target work skill indicates a work skill in which the first work skill does not exist in the second work skill. In one embodiment, the first work skill is work skill 1 and work skill 2, and the second work skill is work skill 1 and work skill 3, therefore, the target work skill is work skill 3.

[0060] Optionally, the resource allocation module obtains the resource allocation score of the target user according to the target work skill and the number of work skills, as described in the following embodiment and will not be repeated here.

[0061] Furthermore, the resource allocation module performs matching in the database according to the resource allocation scores to obtain teaching resource videos for career guidance for target users.

[0062] Optionally, the resource push module pushes the teaching resource video to a user terminal corresponding to the target user, so that the target user learns skills according to the teaching resource video.

[0063] The employment guidance teaching system based on artificial intelligence AIGC of the embodiment of the present invention includes the employment guidance teaching system including artificial intelligence AIGC analysis center, data acquisition module, resume analysis module, data matching module, capability analysis module, resource allocation module and resource push module; the artificial intelligence AIGC analysis center is respectively connected with the data acquisition module, resume analysis module, data matching module, capability analysis module, resource allocation module and resource push module to perform data management on each module; the data acquisition module is used to obtain the user resume data and the applied enterprise input by the target user into the employment guidance teaching system; the resume analysis module is used to analyze the user resume data to obtain the applied position, the first job skill and the number of working skills of the first job skill in the user resume data; the data matching module is used to obtain the applied enterprise and the applied position based on the applied enterprise and the applied position. The second job skill required by the hiring company for the job position; a capability analysis module, which is used to determine the target job skill of the target user based on the first job skill and the second job skill; a resource allocation module, which is used to obtain the resource allocation score of the target user according to the target job skill and the number of job skills, and obtain the teaching resource video for employment guidance for the target user based on the resource allocation score; a resource push module, which is used to push the teaching resource video to the user terminal corresponding to the target user, so that the target user can learn skills according to the teaching resource video. Therefore, through artificial intelligence AIGC, it can provide users with teaching resource videos that suit the user according to their user resume data and the company they are applying for. Therefore, users can conduct personalized learning according to the teaching resource video, thereby providing users with personalized employment guidance teaching and improving the user's employment success rate.

[0064] See also Figure 2 , Figure 2 A schematic diagram of an employment guidance teaching method based on artificial intelligence AIGC provided in an embodiment of the present invention, wherein the employment guidance teaching method based on artificial intelligence AIGC includes:

[0065] Step 10, obtaining the user resume data and the company applied for input by the target user.

[0066] Optionally, when the user needs to receive employment guidance, he or she needs to input the corresponding resume data and the company to apply for in the employment guidance system.

[0067] Therefore, the employment guidance teaching system obtains the user resume data and the applied enterprise input by the target user, wherein the applied enterprise is the enterprise that the target user needs to apply for.

[0068] Step 20, analyzing the user resume data to obtain the job position, the first job skill, and the number of job skills of the first job skill in the user resume data.

[0069] Optionally, the employment guidance teaching system analyzes the user resume data. Specifically, it can identify the user resume data through an OCR text recognition algorithm and extract keywords in the user resume data, such as keywords corresponding to the applied position, keywords corresponding to work skills, work skills corresponding to work experience, etc., so as to obtain the applied position, the first work skill, and the number of work skills of the first work skill in the user resume data.

[0070] Step 30, based on the company and the job, obtain the second job skill required by the company for the job.

[0071] Optionally, the employment guidance teaching system can obtain the job application requirements of the application company for each position through the big data database based on the application company and the application position, so as to obtain the second job skills required by the application position in the user's resume data.

[0072] Step 40: Determine the target work skill of the target user based on the first work skill and the second work skill.

[0073] Optionally, the employment guidance teaching system compares the first work skill and the second work skill to determine the target work skill of the target user, wherein the target work skill indicates a work skill in which the first work skill does not exist in the second work skill.

[0074] In one embodiment, the first work skill is work skill 1 and work skill 2, the second work skill is work skill 1 and work skill 3, and therefore, the target work skill is work skill 3.

[0075] Step 50, obtaining a resource allocation score of the target user according to the target job skills and the number of job skills, and obtaining a teaching resource video for employment guidance for the target user based on the resource allocation score.

[0076] Optionally, the employment guidance teaching system obtains the resource allocation score of the target user based on the target work skills and the number of work skills, as follows: the employment guidance teaching system obtains the skill type of the target work skill, where the skill type includes a first skill type, a second skill type and a third skill type.

[0077] Furthermore, the first skill type indicates the basic skill type, so the first skill type includes CET-4 English, CET-6 English and computer level 2, etc. The second skill type indicates the general application skill type, so the second skill type includes word level 2, excel level 2 and wps level 2, etc. The third skill type indicates the professional skill type corresponding to the job position. For example, if the job position is a technical position, the professional skill type can be programming language certification, network and security certification, database management certification, etc. If the job position is a finance and accounting position, the professional skill type can be a certified public accountant certificate, a certified management accountant certificate, a certified internal auditor certificate, etc. If the job position is a project management position, the professional skill type can be a project management professional certificate, etc. If the job position is a medical and health position, the professional skill type can be a nurse's license, a doctor's license, a medical information technology certification, etc.

[0078] Furthermore, the employment guidance teaching system obtains the resource allocation score of the target user according to the target job skills and the number of job skills, specifically:

[0079] If the skill type is the first skill type, the second skill type, or the third skill type, the employment guidance teaching system matches the first skill type, the second skill type, or the third skill type in the first data table to obtain the first difficulty coefficient and the first skill score corresponding to the first skill type, the second skill type, or the third skill type, where the first data table is shown in Table 1.

[0080] Table 1 First data table

[0081] First skill type Second skill type The third skill type First difficulty level Difficulty level 1 Difficulty Level 2 Difficulty level 3 First skill score Skill Score 1 Skill Score 2 Skill Score 3

[0082] Furthermore, the employment guidance teaching system obtains the resource allocation score according to the first calculation formula, the first difficulty coefficient, the first skill score and the number of work skills; the first calculation formula is as follows:

[0083] F={a1*K1+(1-a1)*M} / 2

[0084] Among them, F represents the resource allocation score, a1 represents the first difficulty coefficient, K1 represents the first skill score, and M represents the score corresponding to the number of work skills.

[0085] If the skill type is the first skill type and the second skill type, the employment guidance teaching system matches the first skill type and the second skill type in the second data table to obtain the second difficulty coefficient corresponding to the first skill type and the second skill type, wherein the second data table is shown in Table 2.

[0086] Table 2 Second data table

[0087] First skill type Second skill type The third skill type Second skill type Difficulty level 1 - - The third skill type Difficulty Level 2 Difficulty level 3 -

[0088] Furthermore, the employment guidance teaching system matches the first skill type and the second skill type in the third data table to obtain the second skill score corresponding to the first skill type and the second skill type, wherein the third data table is shown in Table 3.

[0089] Table 3 The third data table

[0090] First skill type Second skill type The third skill type Second skill type Skill Score 1 - - The third skill type Skill Score 2 Skill Score 3 -

[0091] Furthermore, the employment guidance teaching system obtains the resource allocation score according to the second calculation formula, the second difficulty coefficient, the second skill score and the number of work skills; the second calculation formula is as follows:

[0092]

[0093] Among them, F represents the resource allocation score, a2 represents the second difficulty coefficient, K2 represents the second skill score, and M represents the score corresponding to the number of work skills.

[0094] If the skill type is the first skill type and the third skill type, the employment guidance teaching system matches the first skill type and the third skill type in the second data table to obtain the third difficulty coefficient corresponding to the first skill type and the third skill type. At the same time, the employment guidance teaching system matches the first skill type and the third skill type in the third data table to obtain the third skill score corresponding to the first skill type and the third skill type.

[0095] Furthermore, the employment guidance teaching system obtains the resource allocation score according to the third calculation formula, the third difficulty coefficient, the third skill score and the number of work skills; the third calculation formula is as follows:

[0096]

[0097] Among them, F represents the resource allocation score, a3 represents the third difficulty coefficient, K3 represents the third skill score, and M represents the score corresponding to the number of work skills.

[0098] If the skill type is the second skill type and the third skill type, the employment guidance teaching system matches the second skill type and the third skill type in the second data table to obtain the fourth difficulty coefficient corresponding to the second skill type and the third skill type. At the same time, the employment guidance teaching system matches the second skill type and the third skill type in the third data table to obtain the fourth skill score corresponding to the second skill type and the third skill type.

[0099] Furthermore, the employment guidance teaching system obtains the resource allocation score according to the fourth calculation formula, the fourth difficulty coefficient, the fourth skill score and the number of work skills; the fourth calculation formula is as follows:

[0100] F=0.5*[a4*K4 2 +(1-a4)*M 2 ]

[0101] Among them, F represents the resource allocation score, a4 represents the fourth difficulty coefficient, K4 represents the fourth skill score, and M represents the score corresponding to the number of work skills.

[0102] If the skill type is the first skill type, the second skill type, and the third skill type, the employment guidance teaching system will set the preset score as the resource allocation score, and the preset score will be set according to the actual situation.

[0103] It should be noted that the higher the resource allocation score, the stronger the target user's learning ability is. Therefore, high-difficulty teaching resource videos can be allocated to the target user at one time.

[0104] Furthermore, the employment guidance teaching system performs matching in the database according to the resource allocation score to obtain teaching resource videos for employment guidance for target users.

[0105] Among them, the teaching resource videos may include the first type of teaching resource videos, the second type of teaching resource videos, the third type of teaching resource videos, the fourth type of teaching resource videos, etc., wherein the first type is basic, elementary, intermediate and advanced teaching resource videos, and therefore, the resource allocation score corresponding to the first type is the lowest. The second type is elementary, intermediate and advanced teaching resource videos, and therefore, the resource allocation score corresponding to the second type is higher than the resource allocation score corresponding to the first type. The third type is intermediate and advanced teaching resource videos, and therefore, the resource allocation score corresponding to the third type is higher than the resource allocation score corresponding to the second type. The fourth type is advanced teaching resource videos, and therefore, the resource allocation score corresponding to the fourth type is higher than the resource allocation score corresponding to the third type.

[0106] In one embodiment, the database may be as shown in Table 4.

[0107] First score Second score The third score Fourth score Type I Type II The third type Type 4

[0108] Therefore, if the resource allocation score is the second score, the second type of teaching resource video is allocated to the target user.

[0109] Step 60: Push the teaching resource video to the user terminal corresponding to the target user, so that the target user can learn skills according to the teaching resource video.

[0110] Furthermore, the employment guidance teaching system pushes the teaching resource video to the user terminal corresponding to the target user, so that the target user can learn skills according to the teaching resource video.

[0111] The embodiment of the present invention obtains user resume data and the company applied for by the target user input into the employment guidance teaching system; analyzes the user resume data to obtain the job application, the first job skill and the number of job skills of the first job skill in the user resume data; based on the company applied for and the job application, obtains the second job skill required by the company for the job application; based on the first job skill and the second job skill, determines the target job skill of the target user; according to the target job skill and the number of job skills, obtains the resource allocation score of the target user, and obtains the teaching resource video for employment guidance for the target user based on the resource allocation score; pushes the teaching resource video to the user terminal corresponding to the target user, so that the target user learns skills according to the teaching resource video. Therefore, through artificial intelligence AIGC, it can provide the user with a teaching resource video that suits the user according to the user resume data and the company applied for. Therefore, the user can perform personalized learning according to the teaching resource video, realize personalized employment guidance teaching for the user, and improve the user's employment success rate.

[0112] See also Figure 3 , Figure 3 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, an embodiment of the present invention provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor 320. When the processor 320 executes the computer program 311, the following steps are implemented:

[0113] Obtaining user resume data and the company to be applied for input by the target user; the company to be applied for is the company that the target user wants to apply for;

[0114] Analyze the user resume data to obtain the job position, first job skill and number of job skills in the user resume data;

[0115] Based on the applicant company and the applicant position, obtaining the second job skill required by the applicant company for the applicant position;

[0116] Determining a target work skill of the target user based on the first work skill and the second work skill; the target work skill indicates a work skill of the second work skill that does not include the first work skill;

[0117] Obtaining a resource allocation score for the target user according to the target job skill and the number of job skills, and obtaining a teaching resource video for job guidance for the target user based on the resource allocation score;

[0118] The teaching resource video is pushed to the user terminal corresponding to the target user, so that the target user can learn skills according to the teaching resource video.

[0119] See also Figure 4 , Figure 4 Schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present invention. Figure 4 As shown, this embodiment provides a computer-readable storage medium 400, on which a computer program 411 is stored. When the computer program 411 is executed by a processor, the following steps are implemented:

[0120] Obtaining user resume data and the company to be applied for input by the target user; the company to be applied for is the company that the target user wants to apply for;

[0121] Analyze the user resume data to obtain the job position, first job skill and number of job skills in the user resume data;

[0122] Based on the applicant company and the applicant position, obtaining the second job skill required by the applicant company for the applicant position;

[0123] Determining a target work skill of the target user based on the first work skill and the second work skill; the target work skill indicates a work skill of the second work skill that does not include the first work skill;

[0124] Obtaining a resource allocation score for the target user according to the target job skill and the number of job skills, and obtaining a teaching resource video for job guidance for the target user based on the resource allocation score;

[0125] The teaching resource video is pushed to the user terminal corresponding to the target user, so that the target user can learn skills according to the teaching resource video.

[0126] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0127] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0128] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0129] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0130] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0131] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0132] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An employment guidance teaching system based on artificial intelligence AIGC, characterized in that: The employment guidance teaching system includes an artificial intelligence AIGC analysis platform, a data acquisition module, a resume analysis module, a data matching module, a capability analysis module, a resource allocation module and a resource push module; Among them, the artificial intelligence AIGC analysis center is respectively connected with the data acquisition module, the resume analysis module, the data matching module, the capability analysis module, the resource allocation module and the resource push module to manage the data of each module; A data acquisition module is used to acquire the user resume data and the applied enterprise input by the target user into the employment guidance teaching system; the applied enterprise is the enterprise that the target user needs to apply for; A resume analysis module, used to analyze the user resume data to obtain the job position, the first job skill and the number of job skills of the first job skill in the user resume data; A data matching module, for obtaining the second working skill required by the applicant company for the applicant position based on the applicant company and the applicant position; A capability analysis module, configured to determine a target work skill of the target user based on the first work skill and the second work skill; the target work skill indicates a work skill in which the first work skill does not exist in the second work skill; A resource allocation module, used to obtain a resource allocation score of the target user according to the target job skill and the number of job skills, and to obtain a teaching resource video for employment guidance for the target user based on the resource allocation score; The resource push module is used to push the teaching resource video to the user terminal corresponding to the target user, so that the target user can learn skills according to the teaching resource video.

2. The employment guidance teaching method based on artificial intelligence AIGC according to claim 1 is characterized in that: Applied to the employment guidance teaching system based on artificial intelligence AIGC as claimed in claim 1, the employment guidance teaching method based on artificial intelligence AIGC comprises: Obtaining user resume data and the company to be applied for input by the target user; the company to be applied for is the company that the target user wants to apply for; Analyze the user resume data to obtain the job position, the first job skill, and the number of job skills of the first job skill in the user resume data; Based on the applicant company and the applicant position, obtaining the second job skill required by the applicant company for the applicant position; Determining a target work skill of the target user based on the first work skill and the second work skill; the target work skill indicates a work skill of the second work skill that does not include the first work skill; Obtaining a resource allocation score for the target user according to the target job skill and the number of job skills, and obtaining a teaching resource video for job guidance for the target user based on the resource allocation score; The teaching resource video is pushed to the user terminal corresponding to the target user, so that the target user can learn skills according to the teaching resource video.

3. The employment guidance teaching method based on artificial intelligence AIGC according to claim 2 is characterized in that: The step of obtaining the resource allocation score of the target user according to the target work skill and the number of work skills includes: Obtain the skill type of the target job skill; the skill type includes a first skill type, a second skill type and a third skill type; the first skill type indicates a basic skill type, the second skill type indicates a conventional application skill type, and the third skill type indicates a professional skill type corresponding to the job position; the first skill type includes level 4 English, level 6 English and computer level 2; the second skill type includes word level 2, excel level 2 and wps level 2; A resource allocation score of the target user is obtained according to the target work skill and the number of work skills.

4. The employment guidance teaching method based on artificial intelligence AIGC according to claim 3 is characterized in that: The step of obtaining the resource allocation score of the target user according to the target work skill and the number of work skills includes: If the skill type is the first skill type, the second skill type, or the third skill type, then a first difficulty coefficient and a first skill score are obtained based on the matching of the first skill type, the second skill type, or the third skill type; The resource allocation score is obtained based on a first calculation formula, the first difficulty coefficient, the first skill score, and the number of work skills; the first calculation formula is specifically as follows: F={a1*K1+(1-a1)*M} / 2 Among them, F represents the resource allocation score, a1 represents the first difficulty coefficient, K1 represents the first skill score, and M represents the score corresponding to the number of work skills.

5. The employment guidance teaching method based on artificial intelligence AIGC according to claim 3 is characterized in that: The step of obtaining the resource allocation score of the target user according to the target work skill and the number of work skills includes: If the skill type is a first skill type and a second skill type, a second difficulty coefficient and a second skill score are obtained based on matching the first skill type and the second skill type; The resource allocation score is obtained based on a second calculation formula, the second difficulty coefficient, the second skill score, and the number of work skills; the second calculation formula is as follows: Among them, F represents the resource allocation score, a2 represents the second difficulty coefficient, K2 represents the second skill score, and M represents the score corresponding to the number of work skills.

6. The employment guidance teaching method based on artificial intelligence AIGC according to claim 3 is characterized in that: The step of obtaining the resource allocation score of the target user according to the target work skill and the number of work skills includes: If the skill type is the first skill type and the third skill type, a third difficulty coefficient and a third skill score are obtained based on matching the first skill type and the third skill type; The resource allocation score is obtained based on a third calculation formula, the third difficulty coefficient, the third skill score and the number of work skills; the third calculation formula is as follows: Among them, F represents the resource allocation score, a3 represents the third difficulty coefficient, K3 represents the third skill score, and M represents the score corresponding to the number of work skills.

7. The employment guidance teaching method based on artificial intelligence AIGC according to claim 3 is characterized in that: The step of obtaining the resource allocation score of the target user according to the target work skill and the number of work skills includes: If the skill type is the second skill type and the third skill type, a fourth difficulty coefficient and a fourth skill score are obtained based on matching the second skill type and the third skill type; The resource allocation score is obtained based on a fourth calculation formula, the fourth difficulty coefficient, the fourth skill score and the number of work skills; the fourth calculation formula is as follows: F=0.5*[a4*K4 2 +(1-a4)*M 2 ] Among them, F represents the resource allocation score, a4 represents the fourth difficulty coefficient, K4 represents the fourth skill score, and M represents the score corresponding to the number of work skills.

8. The employment guidance teaching method based on artificial intelligence AIGC according to claim 3 is characterized in that: The employment guidance teaching method also includes: If the skill type is the first skill type, the second skill type, or the third skill type, the preset score is set as the resource allocation score.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the employment guidance teaching method based on artificial intelligence AIGC as described in any one of claims 2 to 8 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the employment guidance teaching method based on artificial intelligence AIGC as described in any one of claims 2 to 8 is implemented.

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