CN113822655A - Recruitment requirement and personal information matching system for human resources - Google Patents
Recruitment requirement and personal information matching system for human resources Download PDFInfo
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Abstract
The invention relates to the technical field of human resources, and discloses a matching system for labor requirements and personal information for human resources, which comprises an information collecting module, wherein the information collecting module is connected with a first feature extraction module, the first feature extraction module is connected with a first comparison module, the first comparison module is connected with a second feature extraction module and a third feature extraction module, the second feature extraction module is connected with a second comparison module, and the second comparison module is connected with a first matching value calculation module, the matching degree of the resume of the job seeker is obtained through accurate data, and therefore matching accuracy is improved.
Description
Technical Field
The invention relates to the technical field of human resources, in particular to a matching system for labor requirements and personal information for human resources.
Background
With the continuous promotion of the processes of knowledge, informatization and economic globalization, the competition in the future is more intense, the competition focuses on the competition of human resources, particularly on the competition of high-quality human resources, the enterprise can better meet the challenge of the competition in the future through the matching of the demands of labor and the personal information, the enterprise can be continuously developed, and the matching of the demands of the labor and the personal information of the enterprise is very critical through the system.
However, the existing matching system cannot preliminarily remove most resumes which do not meet hard requirements, and the existing matching system cannot improve matching accuracy through accurate data. Accordingly, those skilled in the art have provided a labor requirement for human resources and a personal information matching system to solve the problems set forth in the background art described above.
Disclosure of Invention
The present invention is directed to a matching system for labor requirement and personal information for human resources, so as to solve the problems of the background art.
In order to achieve the purpose, the invention provides the following technical scheme:
a labor demand and personal information matching system for human resources comprises an information collecting module, wherein the information collecting module is connected with a first feature extracting module, and the first feature extracting module is connected with a first comparing module;
the first comparison module is connected with a second feature extraction module and a third feature extraction module, the second feature extraction module is connected with a second comparison module, and the second comparison module is connected with a first matching value calculation module;
the third characteristic extraction module is connected with a third comparison module, the third comparison module is connected with a second matching value calculation module, and the first matching value comparison module and the second matching value comparison module are connected to a display terminal together;
the first comparison module, the second comparison module and the third comparison module are all connected with a database.
As a still further scheme of the invention: the information collection module is used for collecting the name, the gender, the age, the mobile phone number, the academic calendar, the specialty, the work experience, the expected salary, the skill certificate, the expected work place and the post arriving time of the job seeker;
the database comprises company names, company addresses, company profiles, company sizes, recruitment age limits, recruitment gender limits, minimum academic requirements, salary provision, expected expertise, expected work experience, work place provision, expected post time, and expected skill certificates of enterprises.
As a still further scheme of the invention: the first comparison module is used for comparing the gender of the job seeker with the recruitment gender limit of the enterprise, the age of the job seeker with the recruitment age limit of the enterprise, the academic history of the job seeker with the minimum academic requirement of the enterprise, and through the three rigid comparisons, the job seeker is not in line with the direct exclusion of one item and returns the job seeker.
As a still further scheme of the invention: the second comparison module is used for comparing the profession of the job seeker with the expected profession of the enterprise, the work experience of the job seeker with the expected work experience of the enterprise, the expected salary of the job seeker and the provided salary of the enterprise;
the third comparison module is used for comparing the skill certificate of the job seeker with the expected skill certificate of the enterprise, the available post time of the job seeker with the expected post time of the enterprise, the expected work place of the job seeker and the expected work place of the enterprise.
As a still further scheme of the invention: the percentage of the first matching value calculation module to the percentage of the second matching value to the percentage of the first matching value calculation module to the percentage of the second matching value calculation module to the percentage of the second matching value to the percentage of the first matching value calculation module to the second matching value to the percentage of the second matching value calculation module to the percentage of the second matching value to the percentage of the percentage to be respectively;
the first matching value calculating module calculates a second comparison module through keyword extraction, wherein the specific gravity values of a specialty (marked as A1), a working experience (marked as A2) and a salary (marked as A3) are 0.35:0.40:0.25, when the specialty is consistent with the expected specialty, S1 is 1, and when the specialty is not consistent, S1 is 0.5;
when the value of the expected work experience (year) minus the work experience (year) is 1 or more, S2 is equal to the value of the expected work experience (year) minus the work experience (year), and when the value of the expected work experience (year) minus the work experience (year) is 1 or less, S2 is 0.5;
when the value of the salary provided with the salary expected salary is more than or equal to 1, S3 is counted as the value, and when the value of the salary provided with the salary expected salary is less than 1, S3 is counted as 0.5;
the first matching value = (a 1 × S1+ a2 × S2+ A3 × S3) × 55%.
As a still further scheme of the invention: the second matching value calculation module calculates a third comparison module by keyword extraction, the specific gravity values of the skill certificate (marked as B1), the time to Shift (marked as B2) and the place of employment (marked as B3) are 0.50:0.15:0.35, when the skill certificate exists (the job seeker has the relevant skill certificate), Q1 is 2, otherwise, is 1;
when the value of the available post time divided by the expected post time is more than 1, Q2 is 0, and when the value of the available post time divided by the expected post time is less than or equal to 1, Q2 is 1;
when the provided work site coincides with the expected work site, Q3 counts as 1, and conversely counts as 0.75;
the second matching value = (B1 × Q1+ B2 × Q2+ B3 × Q3) × 45%.
As a still further scheme of the invention: and displaying the total value of the first matching value and the second matching value on the display terminal, wherein the larger the total value is, the higher the matching degree between the user requirement and the personal information is, and the smaller the total value is otherwise.
Compared with the prior art, the invention has the beneficial effects that:
the matching degree of the resume of the job seeker can be further calculated through the first matching value calculation module and the second matching value calculation module, and the matching degree of the resume of the job seeker can be obtained through accurate data, so that the matching accuracy is improved.
Drawings
FIG. 1 is a flow diagram of a labor requirement and personal information matching system for human resources;
FIG. 2 is a schematic diagram of an information collection module in a human resources employment requirement and personal information matching system;
FIG. 3 is a schematic diagram of a database in a labor requirement and personal information matching system for human resources;
FIG. 4 is a schematic diagram of a first comparison module in the labor requirement and personal information matching system for human resources;
FIG. 5 is a schematic diagram of a second comparison module in the labor requirement and personal information matching system for human resources;
FIG. 6 is a schematic diagram of a third comparison module in the labor requirement and personal information matching system for human resources;
FIG. 7 is a diagram of calculation of a first matching value in the labor requirement and personal information matching system for human resources;
fig. 8 is a diagram for calculating a second matching value in the staff requirement and personal information matching system for human resources.
Detailed Description
Referring to fig. 1 to 8, in an embodiment of the present invention, a system for matching labor demand and personal information for human resources includes an information collection module, where the information collection module is connected to a first feature extraction module, and the first feature extraction module is connected to a first comparison module;
the first comparison module is connected with a second feature extraction module and a third feature extraction module, the second feature extraction module is connected with a second comparison module, and the second comparison module is connected with a first matching value calculation module;
the third characteristic extraction module is connected with a third comparison module, the third comparison module is connected with a second matching value calculation module, and the first matching value comparison module and the second matching value comparison module are connected to the display terminal together;
the first comparison module, the second comparison module and the third comparison module are all connected with a database.
Preferably, the information collection module is used for collecting the name, sex, age, mobile phone number, academic calendar, profession, work experience, expected salary, skill certificate, expected work place and post-arrival time of the job seeker;
the database includes company name, company address, company profile, company size, recruitment age limit, recruitment gender limit, minimum academic requirement, salary provision, expertise expectation, work experience expectation, work place provision, time to post expectation, skill certificate expectation of the enterprise.
Preferably, the first comparison module is used for comparing the gender of the job seeker with the recruitment gender limit of the enterprise, the age of the job seeker with the recruitment age limit of the enterprise, the academic history of the job seeker with the minimum academic requirement of the enterprise, and through the three rigid comparisons, the job seeker is not directly excluded and returned to the job seeker.
Preferably, the second comparison module is used for comparing the profession of the job seeker with the expected profession of the enterprise, the work experience of the job seeker with the expected work experience of the enterprise, the expected salary of the job seeker and the provided salary of the enterprise;
the third comparison module is used for comparing the skill certificate of the job seeker with the expected skill certificate of the enterprise, the available post time of the job seeker with the expected post time of the enterprise, the expected work place of the job seeker and the expected work place of the enterprise.
Preferably, the percentage of the first matching value calculating module to the second matching value calculating module is 55% and 45%, respectively;
the first matching value calculating module calculates the specific weight values of a specialty (marked as A1), a working experience (marked as A2) and a salary (marked as A3) of the second comparing module through keyword extraction, wherein S1 is 1 when the specialty is consistent with the expected specialty, and S1 is 0.5 when the specialty is not consistent with the expected specialty;
when the value of the expected work experience (year) minus the work experience (year) is 1 or more, S2 is equal to the value of the expected work experience (year) minus the work experience (year), and when the value of the expected work experience (year) minus the work experience (year) is 1 or less, S2 is 0.5;
when the value of the salary provided with the salary expected salary is more than or equal to 1, S3 is counted as the value, and when the value of the salary provided with the salary expected salary is less than 1, S3 is counted as 0.5;
the first matching value = (a 1 × S1+ a2 × S2+ A3 × S3) × 55%.
Preferably, the second matching value calculation module calculates the third comparison module by keyword extraction, the specific gravity values of the skill certificate (labeled B1), the time to shift (labeled B2) and the work place (labeled B3) are 0.50:0.15:0.35, when the skill certificate exists (the job seeker has the relevant skill certificate), Q1 counts as 2, otherwise, as 1;
when the value of the available post time divided by the expected post time is more than 1, Q2 is 0, and when the value of the available post time divided by the expected post time is less than or equal to 1, Q2 is 1;
when the provided work site coincides with the expected work site, Q3 counts as 1, and conversely counts as 0.75;
the second matching value = (B1 × Q1+ B2 × Q2+ B3 × Q3) × 45%.
Preferably, the total value of the first matching value and the second matching value is displayed on the display terminal, and the larger the total value is, the higher the matching degree between the user requirement and the personal information is, and the smaller the matching degree is.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention are equivalent to or changed within the technical scope of the present invention.
Claims (7)
1. A matching system for labor demand and personal information for human resources comprises an information collection module, wherein the information collection module is connected with a first feature extraction module;
the first comparison module is connected with a second feature extraction module and a third feature extraction module, the second feature extraction module is connected with a second comparison module, and the second comparison module is connected with a first matching value calculation module;
the third characteristic extraction module is connected with a third comparison module, the third comparison module is connected with a second matching value calculation module, and the first matching value comparison module and the second matching value comparison module are connected to a display terminal together;
the first comparison module, the second comparison module and the third comparison module are all connected with a database.
2. The system for matching labor requirements and personal information for human resources as claimed in claim 1, wherein said information collecting module is used for collecting the name, sex, age, phone number, academic calendar, profession, work experience, expected salary, skill certificate, expected work place, and available post time of job seeker;
the database comprises company names, company addresses, company profiles, company sizes, recruitment age limits, recruitment gender limits, minimum academic requirements, salary provision, expected expertise, expected work experience, work place provision, expected post time, and expected skill certificates of enterprises.
3. The system for matching recruitment requirement and personal information for human resources according to claim 2, wherein the first comparison module is used for comparing the gender of the job seeker with the recruitment gender limit of the enterprise, the age of the job seeker with the recruitment age limit of the enterprise, the academic record of the job seeker with the minimum academic requirement of the enterprise, and the comparison results are not directly eliminated and returned to the job seeker according to one of the three rigid comparisons.
4. The system of claim 3, wherein the second comparing module is for comparing the job seeker's profession with the business's expected profession, the job seeker's work experience with the business's expected work experience, the job seeker's expected salary, and the business's provided salary;
the third comparison module is used for comparing the skill certificate of the job seeker with the expected skill certificate of the enterprise, the available post time of the job seeker with the expected post time of the enterprise, the expected work place of the job seeker and the expected work place of the enterprise.
5. The labor requirement and personal information matching system for human resources as claimed in claim 4, wherein the percentage of the first matching value calculating module and the second matching value calculating module is 55% and 45%, respectively;
the first matching value calculating module calculates a second comparison module through keyword extraction, wherein the specific gravity values of a specialty (marked as A1), a working experience (marked as A2) and a salary (marked as A3) are 0.35:0.40:0.25, when the specialty is consistent with the expected specialty, S1 is 1, and when the specialty is not consistent, S1 is 0.5;
when the value of the expected work experience (year) minus the work experience (year) is 1 or more, S2 is equal to the value of the expected work experience (year) minus the work experience (year), and when the value of the expected work experience (year) minus the work experience (year) is 1 or less, S2 is 0.5;
when the value of the salary provided with the salary expected salary is more than or equal to 1, S3 is counted as the value, and when the value of the salary provided with the salary expected salary is less than 1, S3 is counted as 0.5;
the first matching value = (a 1 × S1+ a2 × S2+ A3 × S3) × 55%.
6. The human resource employment requirement and personal information matching system as claimed in claim 5, wherein said second matching value calculating module calculates the third comparison module by keyword extraction, the specific gravity value of the skill certificate (labeled as B1), the time to Shift (labeled as B2) and the place of employment (labeled as B3) is 0.50:0.15:0.35, when the skill certificate exists (the job seeker has the related skill certificate), Q1 is 2, otherwise is 1;
when the value of the available post time divided by the expected post time is more than 1, Q2 is 0, and when the value of the available post time divided by the expected post time is less than or equal to 1, Q2 is 1;
when the provided work site coincides with the expected work site, Q3 counts as 1, and conversely counts as 0.75;
the second matching value = (B1 × Q1+ B2 × Q2+ B3 × Q3) × 45%.
7. The system according to claim 6, wherein the total value of the first matching value and the second matching value displayed on the display terminal is larger, the matching degree between the labor demand and the personal information is higher, and vice versa.
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| KR20210055403A (en) * | 2019-11-07 | 2021-05-17 | 이중찬 | System and method for providing job matching based on location |
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2021
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Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20030097349A (en) * | 2002-06-20 | 2003-12-31 | (주)피앤이컨설팅 | Method of calculation for Online recruit matching ratio |
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