KR102416873B1 - Server for surpporting of changing job using big data of company, and surpporting method of the server - Google Patents

Abstract

The present invention relates to a job transfer support server using big data of company information. The job transfer support server using big data of company information according to an embodiment of the present invention may include: an employment information management unit which collects and manages company information and employment information purchased or provided from at least one employment-related website or company; a job transfer desire information management unit which collects and manages job transfer desire information from job transfer applicants; and a matching unit which extracts one or more companies by using the job transfer desire information and provides the job transfer information to the job transfer applicant when the employment information of the extracted company is equal to or greater than a preset suitability with the job transfer desire information.

Description

Job change support server and job change support method using big data of company information

The present invention relates to a job change support server and a job change support method using big data of company information, and more particularly, a technology for supporting job change by optimizing the priorities of companies and job change candidates is disclosed.

With the recent advancement of the industry, the tenure of office workers has been shortened. This is because the work environment actively changes according to the change of the times. During the retirement age guaranteed by the Labor Law, workers are semi-forced to change jobs due to changes in work or circumstances of the company. However, if you change jobs without preparation, you may not be able to adapt to the new company and leave the company again. In addition, if the new company does not meet the talent requirements of the new company, the probability of job change decreases.

Among the prior art, Republic of Korea Patent Publication No. 10-1781783 relates to a job system and method for job recommendation and vocational education support based on personal education history. An aptitude test server that calculates and provides job matching according to aptitude for each job category according to a preset job category classification system, an educational institution server that stores and manages individual students’ education history information, job seekers’ terminals and job search companies, or Technical features include a job server that collects various types of job information from recruitment agencies, generates customized job information by comprehensively considering job seekers' aptitude and education history, and provides customized job information to job seekers through a job seeker terminal. .

However, the prior art is to match job seekers based on the job seeker's aptitude test information and education information, and there is a limitation in matching the conditions desired by the actual company and the job seeker.

The task to be solved by the present invention is a job change support server and job change support method using big data of company information that can recommend companies under the best conditions by collecting and analyzing company recruitment information and job change hope information of job change candidates as big data. is to provide

In addition, it is to provide a job change support server and a job change support method using big data of company information that can obtain more accurate statistics by acquiring and rewarding information on the success or failure of a job change applicant.

In addition, it is to provide a job change support server and a job change support method using big data of company information that provides a virtual interview to prospective job seekers and provides feedback on the virtual interview so that job prospects can compensate for their shortcomings on their own.

The job change support server using big data of company information according to an embodiment of the present invention includes a job information management unit that collects and manages company information and job information purchased or provided from at least one employment-related website or company, and a job change from a job change applicant. A job change request information management unit that collects and manages desired information, extracts at least one or more of the companies using the desired job change information, and the job change when the job information of the extracted company is more than a preset suitability with the desired job change information It includes a matching unit provided to the applicant.

In addition, the employment information management unit analyzes the similarity for each item of the first employment information collected from the first website and the second employment information collected from the second website, and in the case of an item deviating from the preset similarity, the third website By analyzing a degree of similarity with the third job information collected from , the job information may be determined as an item within a preset similarity.

In addition, when the job change applicant is hired by the company is completed, it may further include a compensation unit that pays a preset compensation means to the account of the job change applicant.

In addition, the matching unit analyzes the big data of the employment information within a preset time period in the past to set the hiring priority of the company, and recommends at least one or more of the companies by matching the hiring priority with the job change hope information can do.

In addition, the matching unit may analyze the big data of the job change hope information to set a job change priority, and match the company with the job change applicant according to the similarity of the hiring priority.

In addition, the compensation unit analyzes the movement pattern of the first time section set as the work time zone and the second time section set as the leave time zone based on the location information of the user terminal of the job change wisher, and when a change of more than a preset number of times is detected, the change applicant can verify the job change of

Meanwhile, the job change support method of the job change support server using big data of company information according to another embodiment of the present invention collects and manages company information and employment information purchased or provided from at least one employment-related website or company. An information management step, and a matching step of extracting at least one or more of the companies by using the desired job change information, and providing the job change candidates to the job change applicant if the job information of the extracted company is equal to or greater than a preset suitability with the job change job information; do.

Accordingly, it is possible to recommend a company with the best conditions by collecting and analyzing the company's job information and the job change hope information of the job changer as big data.

In addition, more accurate statistics can be obtained by acquiring and rewarding information on the success or failure of job change candidates.

In addition, by providing a virtual interview to prospective job seekers and providing feedback on the virtual interview, job prospects can compensate for their shortcomings on their own.

1 is a block diagram of a job change support system.
2 is a configuration diagram of a job change support server using big data of company information according to an embodiment of the present invention.
3 is a flowchart of a job change support method of a job change support server using big data of company information according to FIG. 2 .
4 is an exemplary diagram for explaining extraction of company information from the employment information management unit among the job change support servers using big data of company information according to FIG. 2 .
FIG. 5 is an exemplary diagram for explaining the extraction of hiring priority from job information in the job information management unit among the job change support servers using big data of company information according to FIG. 2 .
6 is an exemplary diagram for explaining the extraction of priorities of job change from job change hope information in the job change hope information management unit among the job change support servers using big data of company information according to FIG. 2 .
FIG. 7 is an exemplary diagram for explaining changing the priorities of a job change by analyzing the activity details of the job change applicant in the job change hope information management unit among the job change support servers using big data of company information according to FIG. 2 .
FIG. 8 is an exemplary diagram for explaining the recommendation of a company to a job change applicant by the matching unit among the job change support servers using big data of company information according to FIG. 2 .
9 is an exemplary view for explaining the verification of whether the job change by detecting the movement pattern of the job change applicant in the compensation unit among the job change support server using big data of company information according to FIG. 2 .
FIG. 10 is an exemplary diagram for explaining that a virtual interview is conducted to a job change applicant in the virtual interview unit among the job change support servers using big data of company information according to FIG. 2 .
11 to 12 are exemplary views for explaining that the job change prediction unit provides job change prediction information of the job change applicant among the job change support servers using big data of company information according to FIG. 2 .

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. The terms used are terms selected in consideration of functions in the embodiment, and the meaning of the terms may vary depending on the intention or precedent of the user or operator. Therefore, the meaning of the terms used in the embodiments to be described below, when specifically defined in the present specification, follow the definition, and when there is no specific definition, it should be interpreted as a meaning generally recognized by those skilled in the art.

1 is a block diagram of a job change support system.

Referring to FIG. 1 , a job change support system according to an embodiment of the present invention includes a user terminal 10 and a job change support server 100 .

The user terminal 10 is a terminal used by a person who wishes to change a job. The user terminal 10 is capable of network communication with the job change support server 100 . For example, it is preferable that the user terminal 10 is additionally installed with at least one of a camera, a recorder, fingerprint recognition, face recognition, iris recognition, GPS, and Bluetooth. The user terminal 10 transmits the customer information of the job change applicant to the job change support server 100 . The user terminal 10 may be implemented as a smartphone, a tablet PC, or a desktop, and may also be implemented in a wearable form such as a smart glass or a smart watch.

The job change support server 100 communicates with the user terminal 10 of the job change applicant. The job change support server 100 collects the job information of companies and the job change hope information 121 of the job change applicant, and analyzes this to match the company and the job change candidate. In this case, the job change support server 100 may automatically analyze and match the job change priority 113 required by the company and the job change priority 122 requested by the job change applicant. This is not based on the requirements of either side, but in order to optimize and match the requirements of the company and the job seeker. Therefore, companies or job change applicants are recommended based on priorities of hiring or job change prior to interview, so that customized job change support is possible. The job change support server 100 and its management method will be described in detail with reference to FIGS. 2 and 3 .

2 is a configuration diagram of a job change support server using big data of company information according to an embodiment of the present invention, and FIG. 3 is a flowchart of a job change support method of a job change support server using big data of company information according to FIG. 4 is an exemplary view for explaining the extraction of company information from the employment information management unit among the job change support servers using big data of the company information according to FIG. 2, and FIG. 5 is the big data of the company information according to FIG. It is an exemplary diagram for explaining the extraction of the hiring priority from recruitment information in the employment information management unit among the job change support servers used, and FIG. It is an exemplary view to explain the extraction of priorities of job change from desired information, and FIG. 7 is a job change preference by analyzing the activity details of the job change applicant among the job change support servers using the big data of the company information according to FIG. It is an exemplary diagram for explaining changing the ranking, and FIG. 8 is an exemplary diagram for explaining the recommendation of a company to a job change applicant by the matching unit among the job change support servers using big data of company information according to FIG. 2 .

1 to 8 , the job change support server 100 using big data of company information according to an embodiment of the present invention includes a job information management unit 110 , a job change job information management unit 120 , and a matching unit 130 . includes

The employment information management unit 110 collects and manages the company information 111 and the employment information 112 of the company from at least one or more employment-related websites (S110). Here, the employment-related website refers to employment-related websites operated by public institutions and private companies. For example, the employment information management unit 110 may collect the company information 111 and the employment information 112 by a crawling method or collect the company information 111 and the employment information 112 by using an API, but must be The present invention is not limited thereto. It is also possible to collect the company information 111 from an encrypted data file separately purchased or provided from the company. The company information 111 may be a business type, region, number of employees, average annual salary, capital, sales, operating profit ratio, business history, and the like. When the employment information 112 is an image, the employment information management unit 110 may use OCR to characterize it.

Also, the employment information management unit 110 may update the company's employment information 112 by accessing the website at a preset time period. The employment information management unit 110 may acquire the employment information 112 with a high degree of relevance based on the employment related keywords. The employment information management unit 110 may visualize and provide keywords related to the employment information 112 that increase in frequency with a preset time period. This is to analyze the trend of the recruitment information 112 according to the change of time and to more intuitively express the hiring conditions required by the company to the former job seeker.

Also, the employment information management unit 110 may collect and verify the employment information 112 of the same company from a plurality of websites. This is to keep the latest and accurate job information 112 . For example, the employment information management unit 110 may analyze the similarity of each item of the first employment information collected from the first website and the second employment information collected from the second website. In this case, the employment information management unit 110 may collect and compare the third employment information from the third website when there is an item out of a preset similarity among the first employment information and the second employment information. The employment information management unit 110 analyzes the similarity of each of the first employment information and the second employment information with the third employment information, and determines the employment information as an item within the preset similarity.

The job change hope information management unit 120 collects and manages the job change hope information 121 from the job change applicant (S120). The job change wish information 121 means various conditions that the job change applicant prefers. For example, the job change desired information 121 may set the location, number of employees, average salary, sales, etc. as the desired company requirements, and the age, department, salary at the time of employment, academic background, career, etc. may be set as detailed desired information. . The job change hope information management unit 120 may also extract the job change hope information 121 by data mining the resume or self-introduction uploaded by the job change applicant. The job change wish information management unit 120 may also extract the job change hope information 121 by analyzing the corresponding company information 111 when the job change applicant wishes to change to a specific company.

In addition, the job change wish information management unit 120 may also extract the job change hope information 121 by analyzing the activity details 123 from the user terminal 10 used by the job change applicant. For example, the average moving distance, sleep time, meal time, preferred food, hobbies, etc. of the former candidate may be extracted from the user terminal 10 . In this case, it is preferable that an application capable of collecting the activity history 123 for the activity history 123 of the former job seeker is installed in the user terminal 10 . The job change wish information management unit 120 may analyze the activity history 123 through the card usage history, location information, movement information, and input information of the former job applicant.

In addition, the job change wish information management unit 120 may collect the job change hope information 121 by receiving questionnaire information from the job change applicant in addition to the activity details 123 of the job change wisher. In this case, the questionnaire information is questionnaire information on the current working environment, and evaluation such as positive or negative, or opinions on ratings and points for improvement may be input. The job change hope information management unit 120 may generate the current job satisfaction level based on the questionnaire information, and automatically generate the job change job information 121 based on this. For example, if the job satisfaction is 60 points, the average travel distance is 30Km, and the means of transportation is a bus, the job change wish information 121 indicates that the average travel distance is within 5Km and the means of transportation is subway or walking. It can be created with (121).

In addition, the job change wish information management unit 120 may receive the psychological information of the job change applicant and generate the job change hope information 121 . In this case, the job change wish information 121 may be generated by adding additional psychological information to the activity history and questionnaire information of the job change wisher, but the present invention is not limited thereto. For example, the job change wish information management unit 120 may obtain psychological information by having the job change applicant perform a psychological test such as MBTI. The job change hope information management unit 120 may create a company with a similar tendency to itself or an environment easy to adapt to as the job change hope information 121 according to the psychological information of the job change applicant. Accordingly, in addition to external working conditions, the job change wish information 121 can be generated so that the job change applicant can adapt to the tendency of the same working people or the working tendency of the company.

The matching unit 130 recommends at least one company by matching the employment information 112 of the company with the job change hope information 121 of the job change applicant (S130). The matching unit 130 analyzes the company information 111 for a plurality of companies and extracts a recommended company by comparing it with the desired job change information. In this case, information related to the business type, region, number of employees, average annual salary, capital, sales, operating profit rate, business history, etc. of the company can be extracted and analyzed as the requirements of the desired company from the job change hope information. This is to first select a company of the level desired by the former job seeker.

In addition, the matching unit 130 analyzes the employment information for the extracted company. The matching unit 130 provides employment information having a degree of suitability greater than or equal to a preset value by analyzing the job change job information and the degree of suitability of the extracted company hiring information. This is to analyze whether the company size, etc., meets the conditions desired by the prospective job changer, but whether the job information at the company is suitable for the job applicant. The matching unit 130 determines whether to match according to the degree of suitability between the detailed desired information and the employment information among the job change wish information of the former job applicant. Accordingly, it is possible to provide optimal employment information by secondarily analyzing the degree of suitability of the company desired by the job change applicant and the degree of suitability with the employment information of that company.

In addition, the matching unit 130 may analyze the big data of the employment information 112 within a preset time period in the past to set the company's hiring priority 113 . Here, at least one recruitment priority 113 may be set based on a keyword with a high repetition frequency among the employment information 112 . For example, if the keyword 'English' is repeated 4 times, the keyword 'certificate' is repeated 2 times, and the keyword 'youth' is repeated 6 times in the employment information 112 of the company, the hiring priority 113 is youth-English -Can be set in order of certification. The matching unit 130 may match and recommend a corresponding keyword in the job change request information 121 .

In addition, the matching unit 130 may analyze the big data of the job change wish information 121 to set the job change priority 122 and match the company with the job change candidate according to the similarity with the hiring priority 113 . Here, the job change priority 122 may be set by the job change applicant, but it is also possible to analyze the job change hope information 121, such as the job change applicant's self-introduction letter, by data mining. The matching unit 130 may match when the similarity between the hiring priority 113 and the former priority 122 is greater than or equal to a preset value. For example, the priority of recruitment (113) is 'English-Youth-Certificate', the priority of the first job changer (122) is 'Salary-Region-English', and the priority of the second job change seeker. If (122) is in the order of 'English-salary-region', a second job change applicant can be matched.

9 is an exemplary view for explaining the verification of whether the job change by detecting the movement pattern of the job change applicant in the compensation unit among the job change support server using big data of company information according to FIG. 2 .

1 to 9 , the job change support server 100 using big data of company information according to an embodiment of the present invention may further include a compensation unit 140 . The compensation unit 140 pays a preset compensation means to the former job applicant's account when the job change applicant is completed with the company. This is to more accurately understand the employment status of prospective former job seekers. Compensation unit 140 may provide compensation means after verifying the input of employment proof information that can prove that the job change applicant has completed the recruitment. In this case, the employment proof data may include, but is not limited to, an employee ID card, a health insurance receipt and loss confirmation statement, a pay statement, and the like. Compensation means can be paid with points, coupons, gift certificates, virtual currency, etc.

In addition, the compensation unit 140 may use the location information of the user terminal 10 of the job change applicant to authenticate whether the job change applicant has a job change. For example, the compensation unit 140 analyzes the movement patterns of the first time section set as the work time zone and the second time section set as the leave time zone, and determines whether a change of more than a preset number of times is detected. The compensation unit 140 may authenticate the change of job of the person who wants to change job when the movement pattern of the person who wants to change job changes more than a preset number of times. This is to accurately determine whether or not to change job by analyzing the movement pattern of the job change applicant.

FIG. 10 is an exemplary diagram for explaining that a virtual interview is performed to a job change applicant in a virtual interview unit among the job change support servers using big data of company information according to FIG. 2 .

1 to 10 , the job change support server 100 using big data of company information according to an embodiment of the present invention may further include a virtual interview unit 150 . The virtual interview unit 150 generates evaluation information by conducting a virtual interview from the former candidate. For example, the virtual interview unit 150 may analyze the virtual interview information of the former candidate to generate evaluation information such as response accuracy, confidence, and tension. It is also possible for the virtual interview unit 150 to provide supplementary information according to the evaluation information to the former job applicant. For example, you can provide a guide such as 'don't look away when talking'. Accordingly, prospective job changers can make up for their own shortcomings before the actual company interview.

In addition, the virtual interview unit 150 may record the virtual interview information as a video clip and provide it to the former job applicant. The virtual interview unit 150 allows the former job applicant to view the video of the virtual interview information to confirm his/her own interview. The virtual interview unit 150 may provide questionnaire information so that the former job applicant can check the virtual interview information and understand his or her own shortcomings. Such questionnaire information may be composed of information to induce the former job seeker to improve himself/herself. For example, if you are asked to choose what you lack, you can select foreign language ability, gaze processing, and incorrect pronunciation.

Also, the virtual interview unit 150 may receive actual interview information and compare and verify the evaluation information. In this case, you can receive company interview information from the company. The virtual interview unit 150 may compare the first evaluation information for the virtual interview information with the second evaluation information for the company interview information. The virtual interview unit 150 may provide optimal evaluation information by learning the first evaluation information and the second evaluation information. The virtual interview unit 150 may set the second evaluation information as final evaluation information when a deviation occurs between the first evaluation information and the second evaluation information exceeding a preset value.

Referring back to FIGS. 1 to 8 , the job change support server 100 using big data of company information according to an embodiment of the present invention may further include a community management unit 160 .

The community management unit 160 may manage a community among former job seekers. The community management unit 160 may generate evaluation information about the company by analyzing the postings of the community. The community management unit 160 may generate evaluation information by data mining the postings and matching the positive/negative evaluation with the degree of interest in the company through the number of postings and the number of comments. The evaluation information of such a company may provide evaluation information together when the matching unit 130 recommends a company. Accordingly, the job change applicant can easily check the evaluation information of the company recommended to him or her.

In addition, the community management unit 160 is also possible to generate the evaluation information of the company by collecting postings from external employment-related websites. For example, the community management unit 160 may also collect posts related to companies in a crawling manner. The community management unit 160 may also generate evaluation information by collecting company posts from the plurality of websites. The community management unit 160 may also generate evaluation information based on posts for each site, respectively. This is to more objectively compare the evaluation information according to the user's propensity for each site.

In addition, the community management unit 160 may verify whether the interview is authenticated in the case of a post of a former job applicant who has completed an interview with the company. For example, the community management unit 160 analyzes the image of the job applicant's interview certificate, and when the company information 111 and the former job applicant information match, the community management unit 160 gives the authority to create a post. In this case, the job change applicant may use the camera of the user terminal 10 to authenticate the interview certificate. It is also possible for the community management unit 160 to grant the right to create a post only when the period information of the interview certificate is within a preset period. This is to ensure that the interview is verified only within a certain period after the interview. Accordingly, it is possible to obtain evaluation information of the former job applicant who has completed the actual company interview.

11 to 12 are exemplary views for explaining that the job change prediction unit provides job change prediction information of the job change applicant among the job change support servers using big data of company information according to FIG. 2 .

1 to 12 , the job change support server 100 using big data of company information according to an embodiment of the present invention may further include a job change prediction unit 170 .

The job change prediction unit 170 generates policy prediction information for the job change candidate. For example, the job change prediction unit 170 may generate job change prediction information by using the job change success information of the successful job change and the job change hope information 121 of the job change candidate. The job change prediction unit 170 may generate job change prediction information by analyzing the similarity between the job change success information and the job change hope information 121 and matching the job change success information of a group having a high similarity. In this case, the job change prediction unit 170 may display the job change prediction information to the job change candidate as a weather map such as sunny, normal, or cloudy, but is not limited thereto.

More specifically, the job change prediction unit 170 may generate job change prediction information including at least one of a job change period, a salary level, and a job change pattern. For example, the job change prediction unit 170 determines the job change success time expected through customer information in relation to the job change period, the average successful job change period of the job change applicant of the job change prediction management server, the average job change success period according to similar job change conditions, the job change It is possible to provide the success period for each job change case, the successful change period for each company size, and the successful change period for each employment type.

In addition, the job change prediction unit 170 is the salary level expected through customer information in relation to the salary level, the average salary level of the job change applicant of the job change prediction management server, the average salary level according to similar job change conditions, and each case of former employees It can provide salary level, salary level by company size, and salary level by employment type. The job change prediction unit 170 relates to the job change pattern, the ratio of the job change direction under the similar job change conditions, the ratio of the employment type under the similar job change conditions, the job change direction with the similar job conditions, and the size of the company with successful job change expected for the similar job change conditions , transfer success jobs, and transfer success industries can be provided.

Also, the job change prediction unit 170 may generate job change prediction information using statistical information of public institutions. In this case, the job change process compensation collection unit 120 may collect statistical information including employment-related keywords by analyzing the website of a public institution at a preset time period. The job change prediction unit 170 compares the collected statistical information of public institutions with the job change success information, and when the job change success information is out of a preset error range with the statistical information, the job change prediction information can be corrected by using the statistical information. This is to generate more reliable job change prediction information using employment-related statistical information of public institutions.

In addition, the job change prediction unit 170 may use the location information of the user terminal 10 of the prospective job change to provide a job announcement and job change prediction information of a company located within a preset distance. For example, if the job change applicant is located in area A, he/she may receive employment information 112 for a company in the vicinity of the area and check his/her job change prediction information. This is to allow job change candidates to check job announcements and job change prediction information of related companies while passing through the area where they want to work. The job change prediction unit 170 may also transmit job change prediction information for the job change candidate to the hiring manager of the company. This is to confirm the demand of job seekers who actually move closer to their company.

In addition, the job change prediction unit 170 can also predict the length of service for each company after the job change applicant. The length of service is the length of time a person has worked at the company, and it is an indicator of how long a job change applicant can work at the company to which he or she has changed. The job change prediction unit 170 may calculate the average length of service by tracking the work history of the successful job changers. The job change prediction unit 170 predicts the length of service for each company of the job change applicant according to the preset similarity with the job change success information. Accordingly, the job change applicant can select the company to change to by predicting the future tenure of the company recommended to him or her.

In the above, the present invention has been mainly described with reference to the preferred embodiments described with reference to the drawings, but is not limited thereto. Accordingly, the present invention should be interpreted by the description of the claims intended to cover obvious modifications that can be derived from the described embodiments.

100: former support server
110: Recruitment information management department
111: Company information
112 : Recruitment information
113: Recruitment priority
120: former job hope information management department
121 : Job change hope information
122: Priority of former job
123: activity history
130: matching unit
140: compensation unit
150: virtual interview
160: Community Management Department
170: Prediction Department

Claims (5)

Collects and manages company information and employment information purchased or provided from at least one or more employment-related websites or companies, and visualizes and provides the employment information related keywords that increase in frequency at a preset time period and collects from the first website By analyzing the similarity of each item of the first employment information and the second employment information collected from the second website, in the case of items that deviate from the preset similarity, the similarity with the third employment information collected from the third website is analyzed. a job information management unit that determines the job information as an item within a set similarity level;
a job change hope information management unit that collects and manages job change hope information from former job applicants;
a matching unit that extracts at least one or more companies by using the job change hope information, and provides the job change job candidates to the job change applicant if the job information of the extracted company is more than a preset suitability with the job change job information; and
When the job change applicant is hired by the company, a preset compensation means is paid to the job change candidate's account, and using the location information of the user terminal of the job change candidate, the first time section and the leaving time A job change support server using big data of company information including a compensation unit that analyzes the movement pattern of the set second time period and when it changes more than a preset number of times, a compensation unit for authenticating the change of job of the job change applicant. delete delete According to claim 1,
The matching unit,
Big data of company information that analyzes big data of the job information within a preset time period in the past to set the hiring priority of the company, and recommends at least one company by matching the hiring priority with the job change hope information Job change support server using data. In the change support method of the change support server using big data of company information,
The company's employment information is collected and managed from at least one or more employment-related websites, but the employment information related keywords that increase in frequency at a preset time period are visualized and provided, and the first job information collected from the first website and the first job information collected from the first website are provided. 2 By analyzing the similarity of each item of the second job information collected from the website, in the case of an item that is out of the preset similarity, the similarity with the third job information collected from the third website is analyzed to be an item within the preset similarity Recruitment information management step of determining recruitment information;
a job change hope information management step of collecting and managing job change hope information from former job applicants;
a matching step of extracting at least one or more companies by using the job change hope information, and providing the job change job applicant with the job change job information if the extracted job information is equal to or greater than a preset suitability with the job change job information; and
When the job change applicant is hired by the company, a preset compensation means is paid to the job change candidate's account, and using the location information of the user terminal of the job change candidate, the first time section and the leaving time A job change support method using big data, comprising a compensation step of analyzing the movement pattern of a set second time section and authenticating the job change of the job change applicant when the change exceeds a preset number of times.

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