Visual recruitment system and method

Abstract

The invention discloses a visual recruitment system which comprises an enterprise recruitment unit, a user job hunting module, an intelligent screening unit and an interview unit. The enterprise recruitment unit is used for introducing company and post information in a video recording mode and generating a post list; the job hunting user recruitment unit is used for introducing the job hunting user in a video recording mode and generating a resume; the intelligent screening unit is used for recommending proper job seekers for enterprises and recommending proper recruitment enterprises for job seeking users according to a machine learning matching algorithm; and the interview unit is used for performing video interview on the enterprise and the job hunting user through a video dialogue technology. According to the invention, a short video technology is adopted, information of enterprises and job seekers is displayed, the information trueness of positions and job seekers is increased, the fraud risk is reduced, and enterprises and talents across the country complete recruitment and job seeking across time and space through a video dialogue technology.

Description

Technical Field

[0001] The present invention relates to the technical field of recruitment systems, and in particular to a visual recruitment system and method. Background Art

[0002] Video recruitment software can introduce positions and yourself through videos. Recruiting companies can learn about job seekers' basic information and career information through short videos, and job seekers can learn about company information and job requirements through short videos. Both parties can complete one-to-one or many-to-one video interviews through online video conversation technology, greatly shortening the recruitment and job search cycle, saving time costs for both parties, and at the same time improving the authenticity of positions and reducing the risk of recruitment fraud.

[0003] The main problems and defects of recruitment software currently on the market: 1. Most of them just introduce the company and position in words, and there are cases where the description is not true and the company is not real; 2. Most of them adopt offline interviews, which are very limited and cannot help job seekers to complete their work across time and space; 3. Most of the recruitment is done in the same city, which makes it impossible to mobilize talents in a wider area. Summary of the invention

[0004] The present invention provides a visual recruitment system and method to solve the problems raised in the above background technology.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions: A visual recruitment system, including an enterprise recruitment unit, a user job search module, an intelligent screening unit, and an interview unit; The enterprise recruitment unit is used to introduce the company and job information by recording videos and generate a job list; The job seeker recruitment unit is used to introduce oneself by recording a video and generate a resume; The intelligent screening unit is used to recommend suitable job seekers to companies and recommend suitable recruiting companies to job seekers based on machine learning matching algorithms; The interview unit is used to conduct video interviews between enterprises and job seekers through video conversation technology.

[0006] As a further improvement of the present technical solution: the enterprise recruitment unit needs to carry out enterprise certification before recruiting, including certifying the enterprise name, enterprise address, enterprise postal code, registration number, legal representative, business status, business scope, registered capital, and establishment date.

[0007] As a further improvement of the present technical solution: the enterprise recruitment unit may also introduce the enterprise outsourcing information in the form of recorded videos, and then use the intelligent screening unit to recommend suitable outsourcing service personnel through a machine learning matching algorithm.

[0008] As a further improvement of the present technical solution: the job seeker recruitment unit may also introduce its service projects in the form of recorded videos, and then use the machine learning matching algorithm of the intelligent screening unit to complete the matching of outsourcing projects and receive high-quality outsourcing projects.

[0009] As a further improvement of the technical solution: the interview unit also has online one-to-one, one-to-many text, picture, video, and information card conversation functions, realizing private and group chat functions between users and enterprises.

[0010] As a further improvement of this technical solution: the steps of constructing the machine learning matching algorithm are: S1: Obtain a large number of company job listings or resume data of job seekers; S2: marking parameters in the job list or resume data to obtain marked job list or resume data; S3: Based on the labeled job list or resume data, train and generate recommendations for suitable recruiting companies or job seekers.

[0011] A visual recruitment method, applied to any of the visual recruitment systems described above, comprises the following steps: In the first step, the recruiting company uses recorded videos to introduce the company and job information, recommends suitable job seekers through machine learning matching algorithms, and uses video conversation technology to complete interviews, achieving efficient and rapid recruitment and employment results. It can also use recorded videos to introduce outsourcing information, recommend suitable outsourcing service personnel through the platform's intelligent matching technology, and match both parties to complete project outsourcing; In the second step, job seekers introduce themselves by recording videos, and through machine learning matching algorithms, suitable recruitment positions are recommended to them. Interviews are completed through video conversation technology, reducing the time and travel costs of job seekers and allowing them to complete job searches across time and space. Job seekers can also use their own service projects and the platform's intelligent matching technology to complete the matching of outsourcing projects, receive high-quality outsourcing projects, and increase their income.

[0012] The present invention also proposes a terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements any one of the above-mentioned visual recruitment systems when executing the computer program.

[0013] The present invention also proposes a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned visual recruitment systems.

[0014] Compared with the prior art, the present invention has the following beneficial effects: The present invention helps to improve the authenticity of positions and make the job search process safer and more reliable; and by using matching technology of machine learning algorithms, it improves the matching accuracy between positions and candidates, making recruitment more efficient; at the same time, the present invention can also reduce the company's labor costs and the job seekers' time costs and travel costs through video interviews.

[0015] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings. The specific implementation of the present invention is given in detail by the following embodiments and their accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings: Figure 1 This is a business process diagram of a visual recruitment system proposed by the present invention. DETAILED DESCRIPTION

[0017] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention. The present invention is described in more detail by way of example with reference to the accompanying drawings in the following paragraphs. It should be noted that the accompanying drawings are all in a very simplified form and are not in precise proportions, and are only used to facilitate and clearly assist in explaining the purpose of the embodiments of the present invention.

[0018] See also Figure 1 ,In an embodiment of the present invention, a visual recruitment system includes an ,enterprise recruitment unit, a user job seeking module, an intelligent screening unit, and an ,interview unit; The enterprise recruitment unit is used to introduce the company and job information by recording videos and generate a job list: the enterprise recruitment unit can also introduce the enterprise outsourcing information by recording videos, and then use the intelligent screening unit to recommend suitable outsourcing service personnel through machine learning matching algorithms; The job seeker recruitment unit is used to introduce themselves by recording videos and generate resumes. The job seeker recruitment unit can also introduce its service projects by recording videos, and then use the machine learning matching algorithm of the intelligent screening unit to complete the matching of outsourcing projects and receive high-quality outsourcing projects. The intelligent screening unit is used to recommend suitable job seekers to companies and recommend suitable recruiting companies to job seekers based on the machine learning matching algorithm. The steps for building the machine learning matching algorithm are as follows: S1: Obtain a large number of company job listings or resume data of job seekers; S2: marking parameters in the job list or resume data to obtain the marked job list or resume data; S3: Based on the labeled job list or resume data, train and generate recommendations for suitable recruiting companies or job seekers.

[0019] The interview unit is used to conduct video interviews between companies and job seekers through video conversation technology. The interview unit also has online one-to-one and one-to-many text, picture, video, and information card conversation functions, realizing private and group chat functions between users and companies.

[0020] Specifically, corporate recruitment units need to conduct corporate certification before recruiting, including certifying the company name, company address, company postal code, registration number, legal representative, business status, business scope, registered capital, and date of establishment.

[0021] The following steps are involved: In the first step, the recruiting company uses recorded videos to introduce the company and job information, recommends suitable job seekers through machine learning matching algorithms, and uses video conversation technology to complete interviews, achieving efficient and rapid recruitment and employment results. It can also use recorded videos to introduce outsourcing information, recommend suitable outsourcing service personnel through the platform's intelligent matching technology, and match both parties to complete project outsourcing; In the second step, job seekers introduce themselves by recording videos, and through machine learning matching algorithms, suitable recruitment positions are recommended to them. Interviews are completed through video conversation technology, reducing the time and travel costs of job seekers and allowing them to complete job searches across time and space. Job seekers can also use their own service projects and the platform's intelligent matching technology to complete the matching of outsourcing projects, receive high-quality outsourcing projects, and increase their income.

[0022] This system is mainly divided into two roles: recruitment and job-seeking. Recruiters can publish recruitment information to recruit talents, and can also publish outsourcing information to find service personnel. Job seekers can view job information, pass interviews, and complete job searches. They can also view outsourcing projects and complete outsourcing through bidding.

[0023] The present invention also proposes a terminal device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and when the processor executes the computer program, any one of the above-mentioned visual recruitment systems is implemented.

[0024] The present invention also proposes a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute any one of the above-mentioned visual recruitment systems.

[0025] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any ordinary technician in the industry can smoothly implement the present invention as shown in the drawings and described above. However, any equivalent changes, modifications and evolutions made by technicians familiar with the profession without departing from the scope of the technical solution of the present invention using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. A visual recruitment system, characterized in that: It includes enterprise recruitment unit, user job search module, intelligent screening unit and interview unit; The enterprise recruitment unit is used to introduce the company and job information by recording videos and generate a job list; The job seeker recruitment unit is used to introduce oneself by recording a video and generate a resume; The intelligent screening unit is used to recommend suitable job seekers to companies and recommend suitable recruiting companies to job seekers based on machine learning matching algorithms; The interview unit is used to conduct video interviews between enterprises and job seekers through video conversation technology.

2. A visual recruitment system according to claim 1, characterized in that: The enterprise recruitment unit needs to conduct enterprise certification before recruiting, including certifying the enterprise name, enterprise address, enterprise postal code, registration number, legal representative, business status, business scope, registered capital, and establishment date.

3. A visual recruitment system according to claim 1, characterized in that: The enterprise recruitment unit may also introduce the enterprise outsourcing information in the form of recorded videos, and then use the intelligent screening unit to recommend suitable outsourcing service personnel through a machine learning matching algorithm.

4. A visual recruitment system according to claim 1, characterized in that: The job seeker recruitment unit may also introduce its service projects in the form of recorded videos, and then use the machine learning matching algorithm of the intelligent screening unit to complete the matching of outsourcing projects and receive high-quality outsourcing projects.

5. A visual recruitment system according to claim 1, characterized in that: The interview unit also has online one-to-one, one-to-many text, picture, video, and information card conversation functions, realizing private and group chat functions between users and enterprises.

6. A visual recruitment system according to claim 1, characterized in that: The steps for constructing the machine learning matching algorithm are: S1: Obtain a large number of company job listings or resume data of job seekers; S2: marking parameters in the job list or resume data to obtain marked job list or resume data; S3: Based on the labeled job list or resume data, train and generate recommendations for suitable recruiting companies or job seekers.

7. A visual recruitment method, applied to a visual recruitment system according to any one of claims 1 to 6, characterized in that: The following steps are involved: In the first step, the recruiting company uses recorded videos to introduce the company and job information, recommends suitable job seekers through machine learning matching algorithms, and uses video conversation technology to complete interviews, achieving efficient and rapid recruitment and employment results. It can also use recorded videos to introduce outsourcing information, recommend suitable outsourcing service personnel through the platform's intelligent matching technology, and match both parties to complete project outsourcing; In the second step, job seekers introduce themselves by recording videos, and through machine learning matching algorithms, suitable recruitment positions are recommended to them. Interviews are completed through video conversation technology, reducing the time and travel costs of job seekers and allowing them to complete job searches across time and space. Job seekers can also use their own service projects and the platform's intelligent matching technology to complete the matching of outsourcing projects, receive high-quality outsourcing projects, and increase their income.

8. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the visual recruitment system according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the visual recruitment system according to any one of claims 1 to 6.

Images