CN110852722A - Information matching system for introducing high-level talents - Google Patents
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- CN110852722A CN110852722A CN201911130767.5A CN201911130767A CN110852722A CN 110852722 A CN110852722 A CN 110852722A CN 201911130767 A CN201911130767 A CN 201911130767A CN 110852722 A CN110852722 A CN 110852722A
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Abstract
The invention discloses an information matching system for high-level talent introduction, which comprises a student information database, a college information database, an index measuring and calculating unit and an information matching unit, wherein the index measuring and calculating unit calculates the comprehensive index of each college and scholars according to a set algorithm by using the student information database and the college information database, and performs mutual matching between colleges and scholars through the information matching unit, so that the competence of the scholars and the referral standard of the colleges and universities are matched as accurately as possible, the system is further provided with various calculation parameters, the calculation result is more objective and accurate, reasonable index matching can be performed between the colleges and the scholars, objective and accurate matching combination is established between the colleges and the scholars, the accuracy of high-level talent introduction is enhanced, the work efficiency of talent introduction development of the colleges and universities is improved, and high-level talent selection and employment are reduced, the candidate of the scholars matched by the system can be in accordance with the introduction standard of colleges and universities to the maximum extent, and accurate talent introduction is realized through multi-dimensional big data analysis.
Description
Technical Field
The invention relates to a talent big data processing and matching system, in particular to an information matching system for high-level talent introduction.
Background
Talent introduction is a key for realizing good and rapid development of domestic colleges, but the current colleges face the problem of talent information shortage, a perfect channel is lacked for high-level talent introduction, so that college talent introduction personnel often find out when entering schools, the current talent introduction mode is rough, the quality of candidate talents is uneven, the low-quality talent introduction personnel do not accord with the introduction standards of the colleges, the scientific research environment and the salary treatment of the colleges do not accord with the psychological expectation of the high-quality talents, and the talent introduction work of the colleges is difficult, time-consuming and labor-consuming.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an information matching system for introducing high-level talents.
The technical scheme adopted by the invention for solving the technical problems is as follows:
an information matching system for high-level talent introduction, comprising:
scholars information database: the system is used for storing and integrating domestic student data, structural student data information and project content including education backgrounds, academic achievements and awards.
College information database: the system is used for storing and integrating domestic college data and structuring college data information, and the project content comprises college ranking, college location, salaries, scientific research expenses and auxiliary treatment.
An index measuring and calculating unit: and calculating the student index and the college index according to the students and colleges who store and record in the student information database and the college information database.
An information matching unit: the method is used for bidirectional matching between colleges and universities, and sets a required visual angle for screening the colleges or colleges.
The system information matching steps are as follows:
(1) and constructing a student information database and a college information database through domestic and foreign student information data and college post information data which are provided or authorized by the student, and through data cleaning, encryption, desensitization and labeling.
(2) And the index measuring and calculating unit calculates the index of colleges and universities according to a set college index algorithm by taking college ranking, college location, salary, scientific research expenditure and auxiliary treatment in a college information database as parameters.
(3) And the index measuring and calculating unit calculates the student index according to a set student index algorithm by taking the education background, the academic achievements and the awards in the student information database as parameters.
(4) And the information matching unit acquires the college index and the student index of the index measuring and calculating unit, and calculates the talent matching index for each student and college stored in the student information database and the college information database according to a set information matching algorithm.
The educational background includes doctor's colleges and domestic colleges, and the academic results include SCI treatises, one-time treatises, and conference postings.
The calculation formula of the scholar index algorithm is as follows:
A1＝0.6A11+0.3A12+0.1A13。
T1＝0.6A1+0.3(0.65B11+0.35B12)+0.1C1。
wherein the content of the first and second substances,
T1is the student index.
A1Is an academic achievement.
A11Is the weighting coefficient of the SCI paper.
A12Is a weight coefficient for the article.
A13Is a conference paper weight coefficient.
B11The weight coefficients of the doctor colleges are divided into 50, 50-100 and more than 100.
B12The weight coefficients of the department of academy are divided into 50, 50-100 and more than 100.
C1The awarding weight coefficient is divided into three types, namely international grade honor awards, national grade honor awards and other domestic approved awards.
The calculation formula of the college index algorithm is as follows:
T2＝0.3A2+0.2B2+0.2C2+0.2D2+0.1E2。
wherein the content of the first and second substances,
T2is an index of colleges.
A2The ranking weight coefficients of higher schools are divided into top 50, 50-200 and more than 200.
B2Dividing four cities into a first-line city, a new first-line city, a second-line city and other cities for the weight coefficient of the place of the colleges and universities;
C2the scientific research fund weight coefficient is divided into three types of weight coefficients, namely weight coefficients higher than 150 ten-thousand yuan, weight coefficients between 50 and 150 ten-thousand yuan and weight coefficients lower than 50 ten-thousand yuan.
D2The weight coefficient of the salary is divided into three types of weight coefficients, namely, weight coefficient higher than 50 ten thousand yuan, weight coefficient between 30 and 50 ten thousand yuan and weight coefficient lower than 30 ten thousand yuan.
E2And the molecular woman study and the spouse work are two types of auxiliary treatment weight coefficients.
The calculation formula of the information matching algorithm is as follows:
wherein the content of the first and second substances,
i is the talent match index.
T1Is the student index.
T2Is an index of colleges.
The invention has the beneficial effects that: the invention has the advantages that the types of the set calculation parameters are various, the calculation result is more objective and accurate, reasonable index matching can be carried out between colleges and scholars, objective information bridges are built between the colleges and the scholars, the difficulty of talent introduction development of the colleges and the scholars is reduced, the interviewer can meet the introduction standard of the colleges and the universities to the greatest extent, and time and labor are saved.
Detailed Description
An information matching system for high-level talent introduction, comprising:
scholars information database: the system is used for storing and integrating domestic student data, structural student data information and project content including education backgrounds, academic achievements and awards.
College information database: the system is used for storing and integrating domestic college data and structuring college data information, and the project content comprises college ranking, college location, salaries, scientific research expenses and auxiliary treatment.
An index measuring and calculating unit: and calculating the student index and the college index according to the students and colleges who store and record in the student information database and the college information database.
An information matching unit: the method is used for bidirectional matching between colleges and universities, and sets a required visual angle for screening the colleges or colleges.
The system information matching steps are as follows:
(1) and constructing a student information database and a college information database through domestic and foreign student information data and college post information data which are provided or authorized by the student, and through data cleaning, encryption, desensitization and labeling.
(2) And the index measuring and calculating unit calculates the index of colleges and universities according to a set college index algorithm by taking college ranking, college location, salary, scientific research expenditure and auxiliary treatment in a college information database as parameters.
(3) And the index measuring and calculating unit calculates the student index according to a set student index algorithm by taking the education background, the academic achievements and the awards in the student information database as parameters.
(4) And the information matching unit acquires the college index and the student index of the index measuring and calculating unit, and calculates the talent matching index for each student and college stored in the student information database and the college information database according to a set information matching algorithm.
The educational background includes doctor's colleges and domestic colleges, and the academic results include SCI treatises, one-time treatises, and conference postings.
The index measuring and calculating unit calculates the student index of each student in the student information database and serves as a data base for subsequent information matching.
The calculation formula of the scholar index algorithm is as follows:
A1＝0.6A11+0.3A12+0.1A13。
T1＝0.6A1+0.3(0.65B11+0.35B12)+0.1C1。
wherein the content of the first and second substances,
T1is the student index.
A1Is an academic achievement.
A11For the weighting factor of the SCI paper, the weighting value of a single SCI paper is 10, and the upper limit is 100.
A12For a paper weight coefficient, the weight value of a single paper is 10, and the upper limit is 100.
A13For the weight coefficient of the conference paper, the weight value of a single conference paper is 10, and the upper limit is 100.
B11The weight coefficients of the doctor colleges are divided into 50, 50-100 and more than 100 (namely 150 college ranks later), wherein the weight value of the first 50 is 100, the weight value of the 50-100 is 80 and the weight value of the more than 150 is 60.
B12The weight coefficients of the department are divided into 50, 50-100 and more than 100, wherein the weight value of the first 50 is 100, the weight value of the 50-100 is 80 and the weight value of the more than 150 is 60.
C1The awarding weight coefficient is divided into three types, namely international grade honor awards, national grade honor awards and other domestic approved awards. The weight value of the single international honor award is 10, the weight value of the national grade honor award is 5, and the weight values of other domestic endorsement awards are 2.
The index measuring and calculating unit calculates the indexes of colleges and universities in the college information database and serves as a data base for subsequent information matching.
The calculation formula of the college index algorithm is as follows:
T2＝0.3A2+0.2B2+0.2C2+0.2D2+0.1E2。
wherein the content of the first and second substances,
T2is an index of colleges.
A2The weighting coefficients for the college ranks are divided into the first 50, 50-200 and more than 200 (namely the college ranks are positioned after 200), and the weighting value of the first 50 is 100, 50-The 200 weighted values were 75 and the more than 200 weighted values were 60.
B2Dividing four cities into a first-line city, a new first-line city, a second-line city and other cities for the weight coefficient of the place of the colleges and universities; the first-line city has a weight value of 100, the new first-line city has a weight value of 80, the second-line city has a weight value of 60, and the other cities have weight values of 30.
C2The scientific research expense weight coefficient is divided into three types of weight coefficients, namely, the weight coefficient is higher than 150 ten thousand yuan, 50-150 ten thousand yuan and less than 50 ten thousand yuan, the weight coefficient is higher than 150 ten thousand yuan and is 100, the weight coefficient is higher than 50-150 ten thousand yuan and is 80, and the weight coefficient is lower than 50 ten thousand yuan and is 60.
D2The weight coefficient of the salary is divided into three types of weight coefficients of more than 50 ten thousand yuan, 30-50 ten thousand yuan and less than 30 ten thousand yuan, the weight value of more than 50 ten thousand yuan is 100, the weight value of 30-50 ten thousand yuan is 80, and the weight value of less than 50 ten thousand yuan is 60.
E2The weight coefficient of the auxiliary treatment is two types of molecular female study and spouse work, and the weight values of the molecular female study and the spouse work are respectively 50.
The calculation formula of the information matching algorithm is as follows:
wherein the content of the first and second substances,
i is the talent match index.
T1Is the student index.
T2Is an index of colleges.
The required visual angle comprises a student visual angle and a college visual angle, and after the index calculation is completed by the index measuring and calculating unit and the information matching unit, the data of the system setting the required visual angle as the student visual angle is shown in the following table 1;
TABLE 1
The data for which the system sets the required viewing angle as the student viewing angle is shown in table 2 below;
TABLE 2
The invention has the advantages that the types of the set calculation parameters are various, the calculation result is more objective and accurate, reasonable index matching can be carried out between colleges and scholars, objective information matching bridges are set up between the colleges and the scholars, the work difficulty of talent introduction development in colleges and universities is reduced, and candidate colleges to be engaged can meet the introduction standards of the colleges and universities to the greatest extent, so that the time and the labor are saved.
The above embodiments do not limit the scope of the present invention, and those skilled in the art can make equivalent modifications and variations without departing from the overall concept of the present invention.
Claims (5)
1. An information matching system for high-level talent introduction, comprising:
scholars information database: the system is used for storing and integrating high-level student data at home and abroad, structuring student data information and establishing a relational database, wherein the project content comprises an education background, academic achievements and awards;
college information database: the system is used for storing and integrating domestic college data, structuring college data information and establishing a relational database, wherein the project content comprises college ranking, college location, salary, scientific research expenditure and auxiliary treatment;
an index measuring and calculating unit: calculating a student competitiveness index and a college comprehensive index according to the students and colleges who store and record in the student information database and the college information database;
an information matching unit: the method is used for bidirectional matching between colleges and universities and scholars, and setting a required visual angle to perform two-dimensional screening of scholars' selection or college post recruitment;
the system information matching steps are as follows:
(1) establishing a scholars information database and a colleges and universities information database by data cleaning, encryption, desensitization and marking through scholars information data and colleges and universities post information data which are provided or authorized by the scholars and universities;
(2) the index measuring and calculating unit calculates the index of colleges according to a set college index algorithm by taking college ranking, college location, salary, scientific research expenditure and auxiliary treatment in a college information database as parameters;
(3) the index measuring and calculating unit takes the education background, academic achievements and awards in the scholars information database as parameters and calculates the scholars index according to the set scholars index algorithm;
(4) and the information matching unit acquires the college index and the student index of the index measuring and calculating unit, and calculates the talent matching index for each student and college stored in the student information database and the college information database according to a set information matching algorithm.
2. The system of claim 1, wherein the educational background comprises doctor's colleges and domestic colleges, and the academic achievement comprises SCI treatises, a written treatise, and conference postings.
3. The information matching system for talent introduction in colleges and universities as claimed in claim 2, wherein said algorism index algorithm is calculated by the formula:
；
wherein the content of the first and second substances,
T1is a scholars index;
A1is an academic achievement;
A11is SCI paper weight coefficient;
A12is a weight coefficient for a paper;
A13a conference paper weight coefficient;
B11the weight coefficients of the doctor colleges are divided into 50, 50-100 and more than 100;
B12the weight coefficients of the colleges are divided into 50, 50-100 and more than 100;
C1the prize-giving weighting coefficient is divided into three types of international honor prize-giving, national honor prize-giving and other international endorsement prize-giving.
4. The information matching system for talent introduction in colleges and universities as claimed in claim 1, wherein said college index algorithm has a formula of:
wherein the content of the first and second substances,
T2is an index of colleges and universities;
A2the ranking weight coefficients of colleges and universities are divided into top 50, 50-200 and more than 200;
B2dividing four cities into a first-line city, a new first-line city, a second-line city and other cities for the weight coefficient of the place of the colleges and universities;
C2the scientific research fund weight coefficient is higher than 150 ten-thousand yuan, 50-150 ten-thousand yuan and less than 50 ten-thousand yuan;
D2the salary weight coefficient is divided into three types of weight coefficients, namely, weight coefficients higher than 50 ten thousand yuan, weight coefficients higher than 30-50 ten thousand yuan and weight coefficients lower than 30 ten thousand yuan;
E2and the molecular woman study and the spouse work are two types of auxiliary treatment weight coefficients.
5. The information matching system for talent introduction in colleges and universities as claimed in claim 1, wherein said information matching algorithm has a calculation formula of:
wherein the content of the first and second substances,
i is a talent matching index;
T1is a scholars index;
T2is an index of colleges.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112069393A (en) * | 2020-08-12 | 2020-12-11 | 成都鱼泡科技有限公司 | Intelligent matching system based on big data and matching method thereof |
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| CN105139119A (en) * | 2015-08-18 | 2015-12-09 | 杭州后博科技有限公司 | College teachers' current scientific research capability evaluation model and system |
| CN106845865A (en) * | 2017-02-24 | 2017-06-13 | 北京大学 | A kind of school's arrangement method and device based on floating of professionals analysis |
| CN110457696A (en) * | 2019-07-31 | 2019-11-15 | 福州数据技术研究院有限公司 | A kind of talent towards file data and policy intelligent Matching system and method |
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| CN112069393A (en) * | 2020-08-12 | 2020-12-11 | 成都鱼泡科技有限公司 | Intelligent matching system based on big data and matching method thereof |
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