Block chain-based intelligent recruitment information pushing method for university graduates

Abstract

The invention discloses a college graduate intelligent recruitment information pushing method based on a block chain, and relates to the technical field of intelligent recruitment systems, and the method comprises the following steps: 1, constructing a feature vector of a graduate and a feature vector of a position; performing automatic matching through a decentralized recruitment information matching algorithm; if the matching is completed and the graduates are successfully interviewed, the work performance of the graduates is automatically recorded through the smart contract, and the graduates with excellent performance can automatically obtain salary or rewards according to work evaluation; and according to the work performance and salary change of the graduates, the information system reevaluates the professional development paths of the graduates. According to the invention, the work performance, including the work efficiency, the project completion degree and the team cooperation ability, of the graduates is recorded and evaluated by using the intelligent contract, the salary or reward can be automatically adjusted according to the actual performance of the graduates, the human deviation is reduced, and the personnel management level of an enterprise is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent recruitment systems, and in particular to a method for pushing intelligent recruitment information for college graduates based on blockchain. Background Art

[0002] In recent years, with the development of globalization and the acceleration of talent flow, the trend of digitalization and intelligence in the recruitment industry has become increasingly obvious. Traditional recruitment methods rely on manual screening of resumes and interviews, which are inefficient and easily interfered by human subjective factors. In addition, companies cannot effectively track the dynamic information of candidates during the recruitment process, especially the lack of a systematic and automated evaluation mechanism for the work performance of college graduates, which leads to opaque and inefficient information flow, and makes it difficult to continuously optimize the matching quality between companies and graduates.

[0003] The application of blockchain technology in many fields has been gradually recognized. Its decentralized, tamper-proof and transparent characteristics provide a new solution to the security, credibility and transparency of data in the traditional recruitment process. Especially in data processing and storage, blockchain technology can provide tamper-proof records for each link in the recruitment process, avoiding information leakage and human intervention.

[0004] However, most of the existing blockchain-based recruitment information systems are limited to the storage and security management of recruitment information, lacking the comprehensive application of blockchain-based smart contracts and automated matching, especially in job matching and subsequent performance tracking for graduates. Existing technologies have not been able to fully solve the problems of intelligent and refined management in the recruitment process. Therefore, there is an urgent need for a blockchain-based intelligent recruitment information push method that can improve recruitment efficiency and talent management quality through decentralized recruitment information matching algorithms, smart contracts that automatically evaluate work performance and adjust salaries, and other measures. Summary of the invention

[0005] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

[0006] In view of the above problems existing in the prior art, the present invention is proposed.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] A method for pushing intelligent recruitment information for college graduates based on blockchain, comprising the following steps:

[0009] Step 1: Graduates register on the information system, provide their basic information, and upload relevant certificates or supporting documents to form the graduate's feature vector P. Enterprises publish recruitment positions in the system and enter the required job requirements to form the position's feature vector Q.

[0010] Step 2: The information system automatically matches graduates based on their basic information and the company's job requirements through a decentralized recruitment information matching algorithm;

[0011] Step 3: Once the match is completed and the graduate is successfully interviewed, the smart contract will automatically record the graduate’s work performance, including work efficiency, project completion, and teamwork. Graduates with outstanding performance will automatically receive salary increases or rewards based on their work evaluations.

[0012] Step 4: Based on the graduates’ work performance and salary changes, the information system will re-evaluate their career development path. If the graduates perform well, they may be recommended jobs with higher salaries or higher positions. If they perform poorly, positions that match their current abilities will be recommended to help their career development.

[0013] As a preferred solution of the method for pushing intelligent recruitment information for college graduates based on blockchain described in the present invention, the recruitment information matching algorithm specifically includes:

[0014] S201: Let the characteristic vector of the graduate P = {P 1 ,P 2 ,...,P n}, let the characteristic vector Q of the position =

[0015] {Q 1 ,Q 2 ,...,Q n};

[0016] S202: Use cosine similarity to calculate the matching degree M(P,Q), and the calculation formula is:

[0017]

[0018] Among them, P i and Q i Represents the characteristic values ​​of graduates and positions. The calculated value M(P,Q) represents the degree of match between graduates and position requirements. The value range is [0,1], where 1 is a perfect match.

[0019] As a preferred solution of the method for pushing intelligent recruitment information of college graduates based on blockchain described in the present invention, wherein: screening is performed according to the matching results, and if the matching degree M(P, Q) is greater than the predetermined threshold M threshold, then the match is considered successful, that is, the graduate meets the job requirements and is pushed to the interview stage and is ready to enter the interview stage.

[0020] As a preferred solution of the method for pushing intelligent recruitment information of college graduates based on blockchain described in the present invention, the basic process of the smart contract is as follows:

[0021] Data input: Graduates’ basic information, job requirements, matching degree, and work performance score data are transmitted to the smart contract through off-chain data submission;

[0022] Salary calculation: The smart contract executes the salary adjustment formula based on the incoming data and calculates the new salary;

[0023] Automatic payment: Smart contracts execute salary payment operations on the blockchain and automatically transfer the adjusted salary to graduates;

[0024] Record storage: All salary adjustment operations will be recorded on the blockchain to ensure the immutability and traceability of the data.

[0025] As a preferred solution of the method for pushing intelligent recruitment information for college graduates based on blockchain described in the present invention, the definition of the work performance of graduates includes: work efficiency score E(t), project completion score C(t), team collaboration score T(t), and a weighted average function is designed according to the three dimensions to calculate the work performance score of graduates. The calculation formula is:

[0026]

[0027] Among them, α, β, and γ represent the weight coefficients of the three dimensions respectively, and W(t) represents the work performance score between [0,1], where 1 represents the best performance.

[0028] As a preferred solution of the blockchain-based intelligent recruitment information push method for college graduates described in the present invention, different career development path evaluation standards are set according to the graduate's work performance score W(t), and the rules are as follows:

[0029] Excellent performance: If the job performance score W(t) ≥ the first threshold, the performance is considered excellent, and the information system will recommend a job with a higher salary or a higher position;

[0030] Moderate performance: If the second threshold of job performance score ≤ W(t) < the first threshold, the information system will recommend a position that matches the current ability;

[0031] Poor performance: If the job performance score W(t) < the second threshold, the information system will recommend training, skill improvement or optimization opportunities within the current position.

[0032] As a preferred solution of the method for pushing intelligent recruitment information of college graduates based on blockchain described in the present invention, the salary of graduates is dynamically adjusted according to the work performance score W(t) and the matching degree M(P,Q), and the formula is as follows:

[0033]

[0034] Among them, S 0 is the initial salary, is the adjusted salary; δ is the dynamic adjustment factor, which controls the growth rate of salary; ε is the exponential adjustment coefficient, which controls the nonlinear relationship between performance and salary;

[0035] The final salary adjustment is determined by combining the matching degree M(P,Q) and the work performance score W(t), ensuring that graduates with outstanding performance receive higher salary rewards, while graduates with poor performance have limited salary increases.

[0036] As a preferred solution of the method for pushing intelligent recruitment information of college graduates based on blockchain described in the present invention, the following steps are taken to record the graduates’ past T h The performance score of the period W(t) is calculated, and the standard deviation of the historical performance score σ(W);

[0037] If σ(W) is low, it means that the employee's performance is relatively stable and continues to be good; if σ(W) is high, it means that the performance fluctuates greatly and is not continuously good. Define the trend coefficient P t for: W max is the maximum value of the performance score;

[0038] Based on the trend coefficient P t Calculate the dynamic adjustment factor δ = δ b +(Pt·(δ max -δ b )),δ b is the basic adjustment factor, δ max The maximum dynamic adjustment factor that is set.

[0039] The present invention also discloses a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for pushing intelligent recruitment information for college graduates based on blockchain are implemented.

[0040] The present invention also discloses a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above-mentioned method for pushing intelligent recruitment information for college graduates based on blockchain are implemented.

[0041] Beneficial effects of the present invention:

[0042] 1. The present invention uses a decentralized recruitment information matching algorithm. The system can automatically perform deep matching based on the personal information of graduates and the job requirements of enterprises. The accuracy is much higher than the traditional manual screening method, which improves the efficiency and accuracy of recruitment.

[0043] 2. The present invention uses smart contracts to record and evaluate graduates' work performance, including work efficiency, project completion and teamwork ability. It can automatically adjust salaries or rewards according to graduates' actual performance, reduce human bias, and improve the company's personnel management level. By combining work performance with smart contracts, the salary adjustment and reward mechanism is fully automated, highly transparent and fair, and can be automatically adjusted according to graduates' actual work performance, ensuring more reasonable salary distribution and stronger incentive effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0045] Figure 1 This is a schematic diagram of the overall structure of a blockchain-based intelligent recruitment information push method for college graduates proposed by the present invention. DETAILED DESCRIPTION

[0046] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0047] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0048] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0049] Reference Figure 1 , as an embodiment of the present invention, provides a method for pushing intelligent recruitment information of college graduates based on blockchain, the method comprising the following steps:

[0050] Step 1: Graduates register on the information system, provide their basic information, and upload relevant certificates or supporting documents to form the graduate's feature vector P. Companies post job openings in the system and enter the required job requirements to form the job's feature vector Q. This information will be encrypted and stored on the blockchain to ensure its authenticity and security.

[0051] Step 2: The information system automatically matches graduates based on their basic information and the company's job requirements through a decentralized recruitment information matching algorithm.

[0052] Specifically, the recruitment information matching algorithm includes:

[0053] S201: Assume that the characteristic vector of graduate Xiao Li is:

[0054] P={P 1 =1(undergraduate),P 2 =0.8(Java programming),P 3 =0.7 (project management), P 4 =0.9 (Teamwork)},

[0055] The characteristic vector of the enterprise position is:

[0056] Q={Q 1 =1(Bachelor degree or above),Q 2 =1(Java programming),Q 3 =1(project management), Q 4 =1(Teamwork)};

[0057] It should be noted that P 1 =1 (bachelor's degree), which refers to Xiao Li's educational information. Because he is a bachelor's degree graduate, this value is 1, P 2 =0.8 (Java programming) indicates Xiao Li’s skill level in Java programming.

[0058] S202: Use cosine similarity to calculate the matching degree M(P,Q), and the calculation formula is:

[0059]

[0060] Among them, P i and Q i Represents the characteristic values ​​of graduates and positions. The calculated value M(P,Q) represents the degree of match between graduates and position requirements. The value range is [0,1], where 1 is a perfect match.

[0061] Use cosine similarity to calculate the match between the graduate (Xiao Li) and the job requirements:

[0062]

[0063] Then, the matching results are screened and if the matching degree M(P,Q) is greater than the predetermined threshold M threshold , then the match is considered successful, that is, the graduate meets the job requirements and is pushed to the interview stage, ready to enter the interview stage. Since the match degree is greater than the preset threshold (such as 0.8), Xiao Li enters the interview stage.

[0064] Step 3: Once the match is completed and the graduate is successfully interviewed, the graduate’s work performance, including work efficiency, project completion, and team collaboration, will be automatically recorded through a smart contract (this information will be recorded on the blockchain to ensure the authenticity and immutability of the data). Graduates with outstanding performance will automatically receive a salary increase or reward based on their work evaluation.

[0065] The basic process of smart contracts is:

[0066] Data input: Graduates’ basic information, job requirements, matching degree, work performance score and other data are transmitted to the smart contract through off-chain data submission;

[0067] Salary calculation: The smart contract executes the salary adjustment formula based on the incoming data and calculates the new salary;

[0068] Automatic payment: Smart contracts execute salary payment operations on the blockchain and automatically transfer the adjusted salary to graduates;

[0069] Record storage: All salary adjustment operations (such as initial salary, matching degree, work performance score, etc.) will be recorded on the blockchain to ensure the immutability and traceability of the data.

[0070] Specifically, suppose the work performance of graduate Xiao Li includes: work efficiency score E(t) = 1.0, project completion score C(t) = 0.95, teamwork score T(t) = 0.96. Based on the three dimensions, a weighted average function is designed to calculate the graduate's work performance score. The calculation formula is:

[0071]

[0072] Among them, α, β, and γ represent the weight coefficients of the three dimensions, which are 0.4, 0.3, and 0.3 respectively. Xiao Li W(t) represents the work performance score:

[0073]

[0074] Different career development path evaluation criteria are set according to the graduates’ work performance scores W(t). The rules are as follows:

[0075] Excellent performance: If the job performance score W(t) ≥ the first threshold (e.g. 0.9), the performance is considered excellent and the information system will recommend a job with a higher salary or a higher position;

[0076] Moderate performance: If the second threshold of the job performance score (e.g., 0.7) ≤ W(t) < the first threshold (0.9), the information system will recommend a position that matches the current ability;

[0077] Poor performance: If the job performance score W(t) < the second threshold (0,7), the information system will recommend training, skill improvement, or optimization opportunities within the current position.

[0078] In summary, the matching degree is calculated based on the basic information of the graduates and the requirements of the position to determine whether they meet the requirements of the position. Xiao Li's matching degree with the position reaches 0.994, so he passed the matching screening; after a successful interview and recruitment, the system records Xiao Li's work performance and calculates indicators such as work efficiency, project completion, and teamwork. Combined with the weighted formula, Xiao Li's work performance score is calculated to be 0.973. Excellent performance.

[0079] The salary of graduates is dynamically adjusted based on their work performance score W(t) and matching degree M(P,Q), and the formula is as follows:

[0080]

[0081] Among them, S 0 is the initial salary, is the adjusted salary; δ is the dynamic adjustment factor, which controls the growth rate of salary; ε is the exponential adjustment coefficient, which controls the nonlinear relationship between performance and salary;

[0082] The final salary adjustment is determined by combining the matching degree M(P,Q) and the work performance score W(t), ensuring that graduates with outstanding performance receive higher salary rewards, while graduates with poor performance have limited salary increases.

[0083] In addition, record the graduates' past T h The performance score of the period W(t) is calculated, and the standard deviation of the historical performance score σ(W);

[0084] If σ(W) is low, it means that the employee's performance is relatively stable and continues to be good; if σ(W) is high, it means that the performance fluctuates greatly and is not continuously good. Define the trend coefficient P t for: W max is the maximum value of the performance score;

[0085] Based on the trend coefficient P t Calculate the dynamic adjustment factor δ = δ b +(P t ·(δ max-δ b )),δ b is the basic adjustment factor, δ max The maximum dynamic adjustment factor that is set.

[0086] Step 4: Based on the graduates’ work performance and salary changes, the information system will re-evaluate their career development path. If the graduates perform well, they may be recommended jobs with higher salaries or higher positions. If they perform poorly, positions that match their current abilities will be recommended to help their career development.

[0087] After recommending a new position or salary, the smart contract will make actual adjustments based on the recommendation results and provide feedback to the graduate. If the graduate accepts the recommendation, the system will perform the position promotion or salary adjustment operation; if the graduate refuses, the system will continue to re-evaluate based on future work performance.

[0088] This embodiment also provides a computer device, which is applicable to a method for pushing intelligent recruitment information for college graduates based on blockchain, including: a memory and a processor; the memory is used to store computer executable instructions, and the processor is used to execute computer executable instructions to implement a method for pushing intelligent recruitment information for college graduates based on blockchain as proposed in the above embodiment.

[0089] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0090] The present embodiment also provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements a method for pushing intelligent recruitment information for college graduates based on blockchain as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or optical disk.

[0091] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for pushing intelligent recruitment information for college graduates based on blockchain, characterized in that: The following steps are involved: Step 1: Graduates register on the information system, provide their basic information, and upload relevant certificates or supporting documents to form the graduate's feature vector P. Enterprises publish recruitment positions in the system and enter the required job requirements to form the position's feature vector Q. Step 2: The information system automatically matches graduates based on their basic information and the company's job requirements through a decentralized recruitment information matching algorithm; Step 3: Once the match is completed and the graduate is successfully interviewed, the smart contract will automatically record the graduate’s work performance, including work efficiency, project completion, and teamwork. Graduates with outstanding performance will automatically receive salary increases or rewards based on their work evaluations. Step 4: Based on the graduates’ work performance and salary changes, the information system will re-evaluate their career development path. If the graduates perform well, higher-paying or higher-position jobs will be recommended. If the graduates perform poorly, positions that match their current abilities will be recommended to help their career development.

2. According to claim 1, a method for pushing intelligent recruitment information for college graduates based on blockchain, characterized in that: The recruitment information matching algorithm specifically includes: S201: Let the characteristic vector of the graduate be P = {P1, P2, ..., P n }, let the characteristic vector of the position Q = {Q1,Q2,...,Q n }; S202: Use cosine similarity to calculate the matching degree M(P,Q), and the calculation formula is: Among them, P i and Q i Represents the characteristic values ​​of graduates and positions. The calculated value M(P,Q) represents the degree of match between graduates and position requirements. The value range is [0,1], where 1 represents a perfect match.

3. According to claim 2, a method for pushing intelligent recruitment information for college graduates based on blockchain is characterized in that: Screening is performed based on the matching results. If the matching degree M(P,Q) is greater than the predetermined threshold M threshold , then the match is considered successful, that is, the graduate meets the job requirements and is pushed to the interview stage and is ready to enter the interview stage.

4. According to claim 3, a method for pushing intelligent recruitment information for college graduates based on blockchain is characterized in that: The basic process of the smart contract is as follows: Data input: Graduates’ basic information, job requirements, matching degree, and work performance score data are transmitted to the smart contract through off-chain data submission; Salary calculation: The smart contract executes the salary adjustment formula based on the incoming data and calculates the new salary; Automatic payment: Smart contracts execute salary payment operations on the blockchain and automatically transfer the adjusted salary to graduates; Record storage: All salary adjustment operations will be recorded on the blockchain to ensure the immutability and traceability of the data.

5. According to claim 4, a method for pushing intelligent recruitment information for college graduates based on blockchain is characterized in that: The definition of graduates' work performance includes: work efficiency score E(t), project completion score C(t), and teamwork score T(t). A weighted average function is designed based on the three dimensions to calculate the graduates' work performance score. The calculation formula is: Among them, α, β, and γ represent the weight coefficients of the three dimensions respectively, and W(t) represents the work performance score between [0,1], where 1 represents the best performance.

6. According to claim 5, a method for pushing intelligent recruitment information for college graduates based on blockchain is characterized in that: Different career development path evaluation criteria are set according to the graduates’ work performance scores W(t). The rules are as follows: Excellent performance: If the job performance score W(t) ≥ the first threshold, the performance is considered excellent, and the information system will recommend a job with a higher salary or a higher position; Moderate performance: If the second threshold of job performance score ≤ W(t) < the first threshold, the information system will recommend a position that matches the current ability; Poor performance: If the job performance score W(t) < the second threshold, the information system will recommend training, skill improvement or optimization opportunities within the current position.

7. According to claim 6, a method for pushing intelligent recruitment information for college graduates based on blockchain is characterized in that: The salary of graduates is dynamically adjusted based on their work performance score W(t) and matching degree M(P,Q), and the formula is as follows: Among them, S0 is the initial salary, S(t) is the adjusted salary; δ is the dynamic adjustment factor, which controls the growth rate of salary; ε is the exponential adjustment coefficient, which controls the nonlinear relationship between performance and salary; The final salary adjustment is determined by combining the matching degree M(P,Q) and the work performance score W(t), ensuring that graduates with outstanding performance receive higher salary rewards, while graduates with poor performance have limited salary increases.

8. According to claim 7, a method for pushing intelligent recruitment information for college graduates based on blockchain is characterized in that: Record graduates past T h The performance score of the period W(t) is calculated, and the standard deviation of the historical performance score σ(W); If σ(W) is low, it means that the employee's performance is relatively stable and continues to be good; if σ(W) is high, it means that the performance fluctuates greatly and is not continuously good. Define the trend coefficient P t for: W max is the maximum value of the performance score; Based on the trend coefficient P t Calculate the dynamic adjustment factor δ = δ b +(P t ·(δ max -δ b )),δ b is the basic adjustment factor, δ max The maximum dynamic adjustment factor that is set.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a method for pushing intelligent recruitment information for college graduates based on blockchain are implemented as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by the processor, the steps of a method for pushing intelligent recruitment information for college graduates based on blockchain are implemented as described in any one of claims 1 to 7.

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