Job portrait generation method, device, and electronic equipment

Abstract

The present application discloses a method, device, and electronic device for generating a job portrait, which belongs to the field of digital talent development. The method comprises: obtaining first information input by a user, wherein the first information comprises basic information of a target job; outputting an initial job portrait of the target job based on a preset model according to the first information; initiating a job portrait calibration task to a target calibration user corresponding to the target job, and obtaining calibration data obtained through the job portrait calibration task; adjusting the initial job portrait according to the calibration data to obtain a target job portrait.

Description

Technical Field

[0001] The present application belongs to the field of digital talent development, and specifically relates to a method, device, electronic device and readable storage medium for generating a job portrait. Background Art

[0002] At present, when establishing a job portrait, it is usually done by directly using ready-made models, or relying on the personal knowledge and capabilities of corporate human resources and business managers in related positions, and manually entering the job portrait after sorting out the corresponding job standards offline.

[0003] Determining job standards based on ready-made models is usually difficult to adapt to the actual needs of enterprises because ready-made models are usually not updated for a long time, are relatively fixed, lack flexibility, and are usually difficult to adapt to the actual needs of enterprises. Or users customize job standards from scratch, which requires a lot of professional knowledge. At the same time, manual entry and maintenance lack automated maintenance tools and iteration mechanisms, making the process complex, time-consuming, and prone to errors. Therefore, how to quickly establish job profiles while meeting the dynamic needs of enterprises is a technical problem that needs to be solved urgently. Summary of the invention

[0004] The embodiments of the present application provide a method, device, electronic device and readable storage medium for generating a job portrait, which can solve the problem in the prior art that it is impossible to efficiently establish a job portrait that meets the dynamic needs of the enterprise.

[0005] In a first aspect, an embodiment of the present application provides a method for generating a job portrait, the method comprising: obtaining first information input by a user, the first information comprising basic information of a target job; outputting an initial job portrait of the target job based on a preset model according to the first information; initiating a job portrait calibration task to a target calibration user corresponding to the target job, and obtaining calibration data obtained through the job portrait calibration task; adjusting the initial job portrait according to the calibration data to obtain a target job portrait.

[0006] In the second aspect, an embodiment of the present application provides a job portrait generation device, including: an acquisition module, used to acquire first information input by a user, wherein the first information includes basic information of a target job; a job portrait output module, used to output an initial job portrait of the target job based on a preset model according to the first information; a calibration module, used to initiate a job portrait calibration task to a target calibration user corresponding to the target job, and obtain calibration data obtained through the job portrait calibration task; an adjustment module, used to adjust the initial job portrait according to the calibration data to obtain a target job portrait.

[0007] In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0008] In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0009] In a fifth aspect, an embodiment of the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect.

[0010] In a sixth aspect, an embodiment of the present application provides a computer program product, comprising a computer program stored on a non-transitory computer-readable storage medium, wherein the computer program comprises program instructions, and when the program instructions are executed by a computer, the computer executes the method described in the first aspect.

[0011] In an embodiment of the present application, first information input by a user is obtained, wherein the first information includes basic information of a target position; based on the first information, an initial job portrait of the target position is output based on a preset model; a job portrait calibration task is initiated to a target calibration user corresponding to the target position, and calibration data obtained through the job portrait calibration task is obtained; the initial job portrait is adjusted according to the calibration data to obtain a target job portrait, thereby solving the problem in the prior art that a job portrait that meets the dynamic needs of an enterprise cannot be efficiently established. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a flowchart of a method for generating a job profile provided by an embodiment of the present application;

[0013] Figure 2 This is a business process diagram of a method for generating a job profile according to an embodiment of the present application;

[0014] Figure 3 It is a structural schematic diagram of a job portrait generating device of an embodiment of the present application;

[0015] Figure 4 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are 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 are within the scope of protection of this application.

[0017] The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" in the specification and claims represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0018] The following is a detailed description of the job portrait generation method provided in the embodiment of the present application through specific embodiments and their application scenarios in combination with the accompanying drawings.

[0019] Figure 1 A schematic flow chart of a method 100 for generating a job profile provided by an embodiment of the present application is shown. The method can be executed by an electronic device, and the electronic device may include: a server and / or a terminal device. In other words, the method can be executed by software or hardware installed in the electronic device, and the method includes the following steps:

[0020] Step 110: Acquire first information input by a user, where the first information includes basic information of the target position.

[0021] Enterprises need to develop job profiles for reference in various digital talent development scenarios. Digital talent development scenarios include talent standard formulation, talent capability assessment, talent training planning and talent reserve. In the above specific scenarios, enterprises need to develop job profiles in order to systematically manage the selection, training, evaluation and optimization of talents.

[0022] When a user needs to create a job profile corresponding to a target position, he or she can create a job profile generation task and enter the first information.

[0023] The first information is basic information for generating a job profile corresponding to the target job. In one implementation, the first information includes basic information of the target job, such as job title, job description, etc.

[0024] Step 120: Based on the first information, output the initial job profile of the target job based on a preset model.

[0025] The preset model is a model pre-trained based on industry sample data, and is used to output a job profile based on the first information input by the user. The preset model can use artificial intelligence technology to analyze the skills, knowledge and behavioral characteristics required for the target position, and output a job profile corresponding to the target position based on the job qualifications, capability models and task models in the database.

[0026] Therefore, through automated modeling methods, the initial job profile can be quickly generated.

[0027] Step 130: Initiate a job portrait calibration task to the target calibration user corresponding to the target job, and obtain calibration data obtained through the job portrait calibration task.

[0028] That is to say, the job portrait generated in step 120 is not the final result. After the initial job portrait is output in step 120, it is necessary to evaluate the initial job portrait in step 130 to obtain calibration data. The calibration data can be understood as feedback from the target calibration user and is used to adjust the initial job portrait.

[0029] Step 140: Adjust the initial job profile according to the calibration data to obtain a target job profile.

[0030] Finally, according to the calibration data fed back by the target calibration user, the initial job profile is adjusted to obtain the target job profile.

[0031] Therefore, by obtaining calibration data from target calibration users, the initial job profile is optimized and adjusted, making the adjusted target job profile more accurate and thus meeting the actual needs of the enterprise.

[0032] A method for generating a job portrait provided in an embodiment of the present application obtains first information input by a user, wherein the first information includes basic information of a target job; based on the first information, outputs an initial job portrait of the target job based on a preset model; initiates a job portrait calibration task to a target calibration user corresponding to the target job, and obtains calibration data obtained through the job portrait calibration task; adjusts the initial job portrait according to the calibration data to obtain a target job portrait, thereby achieving rapid generation of the initial job portrait and adjusting and optimizing the job portrait according to data fed back by the calibration task, thereby efficiently establishing a job portrait that meets the dynamic needs of the enterprise.

[0033] Figure 2 This is a business process diagram of a job profile generation method according to an embodiment of the present application, which can be combined with Figure 2Understand the process of the job portrait generation method provided in the embodiment of the present application.

[0034] When a user needs to create a job profile corresponding to a target job, he or she can create a job profile generation task. After the user creates the job profile generation task, the user can enter the basic information of the target job.

[0035] In one implementation, first information input by a user is obtained, wherein the first information includes type information in addition to basic information of the target position. The type information is used to select the type of position portrait to be generated. The type information includes at least one of the following:

[0036] 1. The first type of information used to generate job standards, wherein the job standards are used to indicate specific job requirements.

[0037] When specific job requirements and responsibilities need to be clarified, such as in the creation of new jobs, the formulation of job skill standards during recruitment and selection, users can choose to generate job standards for the target job. Job standards can provide standard references for the selection, training, evaluation and optimization of talents.

[0038] 2. The second type of information used to generate a job sequence, wherein the job sequence is used to indicate a career development path.

[0039] When planning employee career development paths, such as planning employee promotion paths, establishing career development channels, and formulating employee personal development plans, users can choose to generate job sequences for target positions. Job sequences can help employees understand how to grow and develop within the organization.

[0040] That is to say, the job profile can be composed of job standards and / or job sequences.

[0041] If the first information includes the first type of information, the job portrait is composed of the job standards; if the first information includes the second type of information, the job portrait is composed of the job sequence; if the first information includes the first type of information and the second type of information, the job portrait is composed of the job standards and the job sequence.

[0042] Therefore, when generating job profiles, personalized options can be implemented, and flexible choices can be made to build job standards and / or job sequences, thus enriching the job profile generation method.

[0043] In one implementation, when the first information includes the first type of information, the initial job portrait of the target position is output based on the first information and based on a preset model, including: outputting the initial job standard of the target position based on a preset model according to the basic information and qualification dimensions of the target position; wherein the qualification dimensions include at least one of the following: educational background, work experience, professional skills, and personal traits.

[0044] It can be understood that each qualification dimension represents a different aspect of the qualification, and the specific requirements of each qualification dimension can constitute the complete qualification of the position. In other words, the position standard can include the specific requirements of each qualification dimension.

[0045] The preset model can match the specific requirements and standards of each dimension from the job qualifications in the database according to the job qualification dimensions.

[0046] In one implementation, the job qualification dimension is determined by the user. For example, the first information input by the user also includes the job qualification dimension.

[0047] When generating the initial job standards corresponding to the target job, the user can decide which job qualification dimensions the initial job standards consist of based on actual needs. For example, the user can choose to have the job qualification dimension include only specific requirements in one dimension, namely, work experience, or can choose to have the job qualification dimension include specific requirements in multiple dimensions, such as education background, work experience, professional skills, and personal traits.

[0048] Therefore, when generating job standards, the qualification dimensions that constitute the job standards can be flexibly selected based on the user's input, so as to accurately formulate job standards that meet the user's actual needs.

[0049] In one implementation, when the first information includes the second type of information, outputting the initial job portrait of the target job based on a preset model according to the first information includes: outputting the initial job sequence of the target job based on a preset model according to the basic information of the target job and preset model dimensions; wherein the preset model dimensions include a capability model and a task model.

[0050] When generating a job sequence, competency model and task model are two core components. Job sequence focuses on the common competency requirements and task requirements of the job sequence, and the job sequence can be used to support the career development and promotion path of employees. Competency model usually includes dimensions such as skills, knowledge, behaviors and traits required for the job. Competency model is used to define the competencies required by employees in the target position. Task model involves the specific steps, activities and responsibilities required to complete a specific task or workflow. Task model is used to define the specific requirements for completing related tasks in the target position.

[0051] Through the preset model, appropriate capability models and task models can be matched from the capability models and task models in the database according to the two dimensions of capability model and task model.

[0052] Therefore, when generating a job sequence, the job sequence can be directly output based on the competency model and task model, and the common competency requirements and task requirements of the job sequence can be presented through the competency model and task model, thereby formulating a job sequence that can clearly present the career development path.

[0053] In one implementation, the initiating a job profile calibration task to a target calibration user corresponding to the target job includes:

[0054] According to the user's first input, determine whether the job portrait calibration task corresponding to the target job is a single-person calibration task or a team calibration task. If it is determined that the job portrait calibration task corresponding to the target job is a single-person calibration task, initiate a single-person calibration task to the single calibration user corresponding to the target job to obtain the calibration data fed back by the single calibration user. If it is determined that the job portrait calibration task corresponding to the target job is a team calibration task, initiate a team calibration task to multiple calibration users corresponding to the target job to obtain the calibration data fed back by the multiple calibration users.

[0055] After obtaining the initial job portrait, a job portrait calibration task is automatically created. The user can choose whether the job portrait calibration task is a single-person calibration task or a team calibration task. For example, when the business person in charge of the target position can decide the job portrait corresponding to the position, you can choose to create a single-person calibration task. Among them, the single-person calibration task can be to obtain calibration data from a single calibration user feedback in the form of an interview questionnaire. This application does not limit the form of the single-person calibration task. When the target position is established in multiple business departments or is associated with multiple business departments, multiple business departments may have their own ideas about the job portrait, and you can choose to create a team calibration task. The team calibration task can be implemented through a multi-party collaborative work tool, and the calibration data from multiple calibration users feedback is obtained by initiating a calibration meeting. This application does not limit the form of the team calibration task.

[0056] Among them, calibration data is used to adjust the data required for each dimension of the capability model, task model and job qualifications, such as basic information, educational background, work experience, professional skills, performance evaluation results, personal characteristics, career development goals, etc.

[0057] Therefore, by adjusting and optimizing the job portrait through single-person calibration tasks or team calibration tasks that are suitable for the target position and combining them with the actual work scenario requirements, the effectiveness and practicality of the job portrait can be improved, making the job portrait more in line with the expectations of corporate managers.

[0058] Among them, after determining that the position portrait calibration task corresponding to the target position is a single-person calibration task or a team calibration task according to the user's first input, the single calibration user or the multiple calibration users can also be determined according to the user's second input, thereby initiating a single-person calibration task or a team calibration task to the single calibration user or multiple calibration users selected by the user.

[0059] For example, a user may select a single calibration task through a first input, and then select a single calibration user through a second input. A single calibration user may be understood as a business manager who is familiar with job requirements. Alternatively, a user may select a team calibration task through a first input, and then select multiple calibration users through a second input. Multiple calibration users may be understood as multiple business managers related to the target job.

[0060] In one implementation, the target job portrait is composed of at least one of job qualifications, capability models, and task models. After obtaining the target job portrait, the method further includes: synchronously updating the database of the preset model based on the job qualifications, capability models, and task models contained in the target job portrait.

[0061] Therefore, after the target job profile is generated, the calibrated qualifications, competency model, and task model are entered into the database and updated synchronously, so that the model database can be updated in a timely manner and continuously updated and iterated based on the latest data and feedback, thereby improving adaptability and accuracy.

[0062] Figure 3 Schematic diagram of the structure of the job portrait generation device according to the embodiment of the present application. Figure 3As shown, the job portrait generation device 200 includes: an acquisition module 210, a job portrait output module 220, a calibration module 230, and an adjustment module 240. The acquisition module 210 is used to acquire the first information input by the user, wherein the first information includes the basic information of the target job; the job portrait output module 220 is used to output the initial job portrait of the target job based on the preset model according to the first information; the calibration module 230 is used to initiate a job portrait calibration task to the target calibration user corresponding to the target job, and obtain the calibration data obtained through the job portrait calibration task; the adjustment module 240 is used to adjust the initial job portrait according to the calibration data to obtain the target job portrait.

[0063] In one implementation, the job profile is composed of job standards and / or job sequences, and the first information also includes at least one of the following: a first type of information used to generate job standards, wherein the job standards are used to indicate specific job requirements; and a second type of information used to generate a job sequence, wherein the job sequence is used to indicate a career development path.

[0064] In one implementation, when the first information includes the first type of information, the first information also includes a job qualification dimension. The job profile output module 220 is further configured to output the initial job standard of the target job based on a preset model according to the basic information of the target job and the job qualification dimension; wherein the job qualification dimension includes at least one of the following: educational background, work experience, professional skills, and personal traits.

[0065] In one implementation, when the first information includes the second type of information, the job portrait output module 220 is also used to output the initial job sequence of the target job based on a preset model according to the basic information of the target job and the preset model dimensions; wherein the preset model dimensions include a capability model and a task model.

[0066] In one implementation, the calibration module 230 is used to determine, based on the user's first input, whether the job portrait calibration task corresponding to the target job is a single-person calibration task or a team calibration task; if it is determined that the job portrait calibration task corresponding to the target job is a single-person calibration task, then a single-person calibration task is initiated to the single calibration user corresponding to the target job to obtain the calibration data fed back by the single calibration user; if it is determined that the job portrait calibration task corresponding to the target job is a team calibration task, then a team calibration task is initiated to multiple calibration users corresponding to the target job to obtain the calibration data fed back by the multiple calibration users.

[0067] In one implementation, the target job portrait is composed of at least one of job qualifications, capability models, and task models. The device also includes: an update module for synchronously updating the database of the preset model based on the job qualifications, capability models, and task models contained in the target job portrait after obtaining the target job portrait.

[0068] The job portrait generation device in the embodiment of the present application can be a device, or a component, integrated circuit, or chip in a terminal. The device can be a mobile electronic device or a non-mobile electronic device. Exemplarily, the mobile electronic device can be a mobile phone, a tablet computer, a laptop computer, a PDA, an in-vehicle electronic device, a wearable device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc. The non-mobile electronic device can be a server, a network attached storage (NAS), a personal computer (PC), a television (TV), a teller machine or a self-service machine, etc., which is not specifically limited in the embodiment of the present application.

[0069] The job portrait generation device in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0070] The job portrait generation device provided in the embodiment of the present application can implement each process in the job portrait generation method provided in any of the above embodiments, and can achieve the same or equivalent technical effect. To avoid repetition, it will not be repeated here.

[0071] Figure 4 To implement a hardware structure diagram of an electronic device 300 according to an embodiment of the present application, the electronic device 300 may be a terminal device or a server device, and the electronic device 300 includes: an antenna 301, a radio frequency device 302, a baseband device 303, a network interface 304, a memory 305 and a processor 306, a program or instruction stored in the memory 305 and executable on the processor 306, which, when executed by the processor 306, implements each process in the job portrait generation method provided in any of the above-mentioned embodiments, and can achieve the same or equivalent technical effect. To avoid repetition, it will not be repeated here.

[0072] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned job portrait generation method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0073] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0074] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned job portrait generation method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0075] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0076] An embodiment of the present application also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the various processes of the above-mentioned job portrait generation method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0077] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0078] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0079] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. A method for generating a job profile, characterized in that: The method comprises: Acquire first information input by a user, where the first information includes basic information of a target position; Outputting an initial job profile of the target job based on a preset model according to the first information; Initiate a job portrait calibration task to a target calibration user corresponding to the target job, and obtain calibration data obtained through the job portrait calibration task; Adjusting the initial job profile according to the calibration data to obtain a target job profile; According to the first input of the user, determining whether the job profile calibration task corresponding to the target job is a single-person calibration task or a team calibration task; The initiating a job profile calibration task to a target calibration user corresponding to the target job includes: If it is determined that the job profile calibration task corresponding to the target job is a single-person calibration task, a single-person calibration task is initiated to a single calibration user corresponding to the target job to obtain calibration data fed back by the single calibration user; If it is determined that the job profile calibration task corresponding to the target job is a team calibration task, initiating the team calibration task to multiple calibration users corresponding to the target job to obtain calibration data fed back by the multiple calibration users; After determining, according to the first input of the user, that the job profile calibration task corresponding to the target job is a single-person calibration task or a team calibration task, the method further includes: Determine the single calibration user or the multiple calibration users according to a second input of the user, and initiate a single calibration task or a team calibration task to the single calibration user or the multiple calibration users selected by the user; The job profile includes a job sequence, and the first information also includes: The second type of information is used to generate a job sequence, wherein the job sequence is used to indicate a career development path; In the case where the first information includes the second type of information, outputting the initial job profile of the target job based on the preset model according to the first information includes: According to the basic information of the target position and the preset model dimensions, the initial position sequence of the target position is output based on the preset model; wherein the preset model dimensions include a capability model and a task model, the capability model is used to define the capabilities required of the employee in the target position, and the task model is used to define the specific requirements for completing related tasks in the target position.

2. The method according to claim 1, characterized in that The job profile includes job standards, and the first information also includes: The first type of information is used to generate job standards, where the job standards are used to indicate specific requirements for the job.

3. The method according to claim 2, characterized in that In the case where the first information includes the first type of information, the first information also includes a job qualification dimension, and outputting the initial job profile of the target job based on the preset model according to the first information includes: According to the basic information of the target position and the job qualification dimension, the initial job standard of the target position is output based on a preset model; wherein the job qualification dimension includes at least one of the following: educational background, work experience, professional skills, and personal traits.

4. The method according to claim 1, characterized in that: The target job profile is composed of at least one of a job qualification, a capability model, and a task model. After obtaining the target job profile, the method further includes: Based on the job qualifications, capability models, and task models included in the target job profile, the database of the preset model is synchronously updated.

5. A job profile generating device, characterized in that: include: An acquisition module, used to acquire first information input by a user, wherein the first information includes basic information of a target position; A job profile output module, configured to output an initial job profile of the target job based on a preset model according to the first information; A calibration module, used to initiate a job portrait calibration task to a target calibration user corresponding to the target job, and obtain calibration data obtained through the job portrait calibration task; An adjustment module, used for adjusting the initial job profile according to the calibration data to obtain a target job profile; According to the first input of the user, determining whether the job profile calibration task corresponding to the target job is a single-person calibration task or a team calibration task; The initiating a job profile calibration task to a target calibration user corresponding to the target job includes: If it is determined that the job profile calibration task corresponding to the target job is a single-person calibration task, a single-person calibration task is initiated to a single calibration user corresponding to the target job to obtain calibration data fed back by the single calibration user; If it is determined that the job profile calibration task corresponding to the target job is a team calibration task, initiating the team calibration task to multiple calibration users corresponding to the target job to obtain calibration data fed back by the multiple calibration users; After determining, according to the first input of the user, that the job profile calibration task corresponding to the target job is a single-person calibration task or a team calibration task, the method further includes: Determine the single calibration user or the multiple calibration users according to a second input of the user, and initiate a single calibration task or a team calibration task to the single calibration user or the multiple calibration users selected by the user; The job profile includes a job sequence, and the first information also includes: The second type of information is used to generate a job sequence, wherein the job sequence is used to indicate a career development path; In the case where the first information includes the second type of information, outputting the initial job profile of the target job based on the preset model according to the first information includes: According to the basic information of the target position and the preset model dimensions, the initial position sequence of the target position is output based on the preset model; wherein the preset model dimensions include a capability model and a task model, the capability model is used to define the capabilities required of the employee in the target position, and the task model is used to define the specific requirements for completing related tasks in the target position.

6. An electronic device, characterized in that: It includes a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the steps of the job portrait generation method as described in any one of claims 1 to 4 are implemented.

7. A readable storage medium, characterized in that: The readable storage medium stores programs or instructions, and when the programs or instructions are executed by the processor, the steps of the job portrait generation method as described in any one of claims 1-4 are implemented.

8. A computer program product, characterized in that The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the steps of the job portrait generation method as described in any one of claims 1 to 4.

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