CN111652574A - Job-hunting functional team career credit archive method and system based on block chain - Google Patents
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Abstract
The invention provides a job-seeking functional team occupation credit archive method and system based on a block chain, wherein the method comprises the following steps: receiving a request instruction for creating a team sent by a user, and creating the team for the user according to the request instruction; receiving an invitation instruction sent by the user for inviting a job seeker to join the team, and adding the job seeker to the team; storing and updating a team history file, storing and uploading the team history file of the job seeker in the team period to the Internet after the job seeker leaves the team, and continuously inviting the job seeker to join in an invitation instruction of the team by a user and updating the team history file; the enterprise checks and verifies the past team historical files of the job seeker according to resume information of the job seeker and the Internet, and whether the job seeker is used or not is considered.
Description
Technical Field
The invention relates to a method and a system for establishing a team vocational credit file for online team job hunting and enterprise team recruitment through a block chain technology, which are mainly applied to the fields of the Internet and the mobile Internet.
Background
In the recruitment website, a job seeker creates a job hunting functional group on the website, an enterprise recruits team members in a team mode, the job hunting functional group applies to the enterprise, the job hunting group leaves the enterprise, the teams, the team creators, the actual credit records of the histories of team managers, the team members, the team achievement and the like, and no effective fidelity record preservation method exists in the current real society. The system is a very necessary reference for knowing a fidelity team occupation history experience as a job seeker who wants to join a team and a recruitment enterprise.
At present, the method enters a private enterprise of a private, a plurality of personal job seekers do not store work files in the enterprise, and personal assessment job title promotion cannot find technical qualification records of personal work performance in the personal files.
At present, partial job seekers cannot find out the complete personal work files by enterprises, and personal resumes are randomly filled according to the recruitment requirements of the enterprises, so that uncertain losses can be brought to the enterprises.
Through the distributed technology of the block chain, an unalterable personal vocational credit history file and vocational credit history files of a job seeker functional group and a recruitment enterprise group are established, and reference basis is provided for personal vocational qualification, personal job hunting, job hunting group reliability and enterprise group reliability.
Disclosure of Invention
In this summary, concepts in a simplified form are introduced that are further described in the detailed description. This summary of the invention is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
To at least partially address the above-mentioned problems, a job-seeking function team career credit profile method based on blockchains:
preferably, the method comprises: receiving a request instruction for creating a team sent by a user, and configuring the team for the user according to the request instruction; receiving a request instruction for creating a team sent by a user, and creating the team for the user according to the request instruction; receiving an invitation instruction sent by the user for inviting a job seeker to join the team, and adding the job seeker to the team; storing and updating a team history file, storing and uploading the team history file of the job seeker in the team period to the Internet after the job seeker leaves the team, and continuously inviting the job seeker to join in an invitation instruction of the team by a user and updating the team history file; the enterprise checks and verifies the past team history files of the job seeker according to resume information of the job seeker and on the Internet, and whether the job seeker is used or not is considered.
Preferably, the receiving an instruction to invite a job seeker to join the team, which is sent by the user, includes: the method comprises the steps of obtaining characteristic information of job seekers in advance, sending the characteristic information to a user, and receiving an invitation instruction sent by the user according to the characteristic information and used for inviting the job seekers to join a team.
Preferably, after the job seeker is added to the team and before the team history record is saved and updated, the method further includes: counting the vocational credit of a job seeker during a team, wherein the vocational credit of the job seeker during the team carries the vocational credit condition of the job seeker; ranking the vocational credit of the job seeker during the team according to the vocational credit condition of the job seeker; the ranked results and job credits of the job seeker during the team are presented to the team.
Preferably, the team history profile includes one or more of job applicant's job credit during the team, job applicant's job credit rating during the team, team member, team performance, and team rating.
Preferably, the step of ranking the vocational credit of the job seeker during the team according to the vocational credit condition of the job seeker is as follows:
step A1, constructing the career credit data of the job seeker by the following formula:
wherein X represents total data of vocational credit conditions of job seeker1Represents a conditional occupational skill, x2Represents a conditional professional moral, x3Representing the sincerity of the condition, wherein m represents the number of the vocational credit condition data of the job seeker screened and collected by the model;
step A2, dividing the rating levels of the job seeker into four categories A, B, C and D, wherein A represents that the job seeker has excellent professional credit level during the team, B represents that the job seeker has good professional credit level during the team, C represents that the job seeker has passed professional credit level during the team, and D represents that the job seeker has poor professional credit level during the team;
step A3, grading the team, and pre-dividing the grades into 3 grades, wherein a represents the excellent grade of the team, b represents the good grade of the team, and c represents the general grade of the team;
step a4, calculating the vocational credit rating of each job seeker during the team according to the following formula:
wherein Q represents the vocational credit rating of the job seeker during the team, X represents the total data of the vocational credit terms of the job seeker, w1, b1, w2, b2 represent pre-trained parameter values, and e represents an irrational number, which is 2.71828;
step A5, calculating the professional credit rating of each job seeker during the team, and then ranking the team according to the occupation ratio of the job seeker in the team during the team.
The team is rated according to the occupation credit rating of the job seeker in the team, the occupation credit rating of the job seeker in the team is calculated, the occupation credit rating A of the job seeker in the team accounts for 90% of the total percentage of the team in the team, the evaluation of the team is a rating, the occupation credit rating A of the job seeker in the team accounts for 80% of the total percentage of the team in the team, the evaluation of the team is b rating, the occupation credit rating A of the job seeker in the team accounts for 60% of the total percentage of the team in the team, and the evaluation of the team is c rating.
The team creating module receives a team creating request instruction sent by a user, creates a team for the user according to the request instruction, and adds the module into the block chain;
the invitation job seeker joining module is used for receiving an invitation instruction sent by the user and used for inviting the job seeker to join the team, forwarding the invitation instruction to the job seeker appointed by the instruction, adding the job seeker corresponding to the agreement information to the team after receiving the agreement information of the appointed job seeker, and joining the module to the block chain;
the system comprises a team history file storage and updating module, a block chain module and a module, wherein the team history file storage and updating module is used for storing and uploading a history file of a job seeker in a team period to the Internet after the job seeker leaves the team, and a user continues to invite the job seeker to join an invitation instruction of the team, updates the history file of the team and adds the module to the block chain;
an enterprise screening module; checking and verifying past team history records of job seekers according to resume information of the job seekers and on the Internet, considering whether the job seekers are used or not, and adding the module into a block chain.
Preferably, the module for inviting job seeker to join includes: and the characteristic information invitation module is used for acquiring the characteristic information of the job seeker in advance, sending the characteristic information to the user and receiving an invitation instruction which is sent by the user according to the characteristic information and used for inviting the job seeker to join the team.
Preferably, the system further comprises: the system comprises a counting module, a processing module and a processing module, wherein the counting module is used for counting the vocational credit of a job seeker during a team, and the vocational credit of the job seeker during the team carries the vocational credit condition of the job seeker; ranking the vocational credit of the job seeker during the team according to the vocational credit condition of the job seeker; the ranked results and job credits of the job seeker during the team are presented to the team.
Preferably, the team history record comprises: job applicant's job credit during the team, job applicant's job credit rating during the team, team members, team performance, and team rating.
Preferably, the step of ranking the vocational credit of the job seeker during the team according to the vocational credit condition of the job seeker is as follows:
step A1, constructing the career credit data of the job seeker by the following formula:
wherein X represents total data of vocational credit conditions of job seeker1Represents a conditional occupational skill, x2Represents a conditional professional moral, x3Representing the sincerity of the condition, wherein m represents the number of the vocational credit condition data of the job seeker screened and collected by the model;
step A2, dividing the rating levels of the job seeker into four categories A, B, C and D, wherein A represents that the job seeker has excellent professional credit level during the team, B represents that the job seeker has good professional credit level during the team, C represents that the job seeker has passed professional credit level during the team, and D represents that the job seeker has poor professional credit level during the team;
step A3, grading the team, and pre-dividing the grades into 3 grades, wherein a represents the excellent grade of the team, b represents the good grade of the team, and c represents the general grade of the team;
step a4, calculating the vocational credit rating of each job seeker during the team according to the following formula:
wherein Q represents the vocational credit rating of the job seeker during the team, X represents the total data of the vocational credit terms of the job seeker, w1, b1, w2, b2 represent pre-trained parameter values, and e represents an irrational number, which is 2.71828;
step A5, calculating the professional credit rating of each job seeker during the team, and then ranking the team according to the occupation ratio of the job seeker in the team during the team.
In the embodiment of the invention, the team is graded according to the occupation credit rating of the job seeker in the team, the occupation credit rating A of the job seeker in the team accounts for 90% of the team in the team by calculating the occupation credit rating of the job seeker in the team, the evaluation of the team is a rating, the occupation credit rating A of the job seeker in the team accounts for 80% of the team in the team, the evaluation of the team is b rating, the occupation credit rating A of the job seeker in the team accounts for 60% of the team in the team, and the evaluation of the team is c rating.
In the block chain-based job hunting functional team vocational credit archive method and system provided by the invention, a plurality of job hunters can be combined into a team through a creation team, after leaving the team, the team historical archive of the job hunters in the team period is stored and uploaded on the Internet, and an enterprise checks and verifies the past team historical archive of the job hunters according to the resume information of the job hunters and the Internet, and considers whether the job hunters are enrolled or not, so that job hunting work can be performed in a team mode through the block chain-based job hunting functional team vocational credit archive method and system provided by the embodiment of the invention.
Drawings
FIG. 1 illustrates a flow diagram of a job function team vocational credit archive method based on a blockchain;
fig. 2 shows a block chain-based job function team vocational credit archive system.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
The embodiment of the invention provides a job-seeking functional team occupation information file method based on a block chain, and as shown in fig. 1, the main processing flow comprises the following steps:
step S101, receiving a request instruction for creating a team sent by a user, and creating the team for the user according to the request instruction;
step S102: receiving an invitation instruction sent by the user for inviting a job seeker to join the team, forwarding the invitation instruction to a job seeker appointed by the instruction, and adding the job seeker corresponding to the approval information to the team after receiving the approval information of the appointed job seeker;
step S103, saving and updating a team history file, storing and uploading the history file of the job seeker in the team period to the Internet after the job seeker leaves the team, continuously inviting the job seeker to join in an invitation instruction of the team by a user, and updating the team history file;
the step of ranking the vocational credit of the job seeker during the team against the vocational credit terms of the job seeker is as follows:
step A1, constructing the career credit data of the job seeker by the following formula:
wherein X represents total data of vocational credit conditions of job seeker1Represents a conditional occupational skill, x2Represents a conditional professional moral, x3Representing the sincerity of the condition, wherein m represents the number of the vocational credit condition data of the job seeker screened and collected by the model;
step A2, dividing the rating levels of the job seeker into four categories A, B, C and D, wherein A represents that the job seeker has excellent professional credit level during the team, B represents that the job seeker has good professional credit level during the team, C represents that the job seeker has passed professional credit level during the team, and D represents that the job seeker has poor professional credit level during the team;
step A3, grading the team, and pre-dividing the grades into 3 grades, wherein a represents the excellent grade of the team, b represents the good grade of the team, and c represents the general grade of the team;
step a4, calculating the vocational credit rating of each job seeker during the team according to the following formula:
wherein Q represents the vocational credit rating of the job seeker during the team, X represents the total data of the vocational credit terms of the job seeker, w1, b1, w2, b2 represent pre-trained parameter values, and e represents an irrational number, which is 2.71828;
step A5, calculating the professional credit rating of each job seeker during the team, and then ranking the team according to the occupation ratio of the job seeker in the team during the team.
In the embodiment of the invention, the team is rated according to the occupation credit rating of the job seeker during the team, the occupation credit rating A of the job seeker in the team accounts for 90% of the team during the team by calculating the occupation credit rating of the job seeker in the team during the team, the evaluation of the team is a rating, the occupation credit rating A of the job seeker in the team accounts for 80% of the team during the team, the evaluation of the team is b rating, the occupation credit rating A of the job seeker in the team accounts for 60% of the team during the team, and the evaluation of the team is c rating.
Has the advantages that: above algorithm adopts the deep learning technique, right through the model job seeker's professional credit carries out the grade division, and when every to model input a job seeker's professional credit data, according to job seeker's professional credit data carries out professional credit grade division to it, this model adopts GPU server to train, has reached fine real-time effect, has established the basis for later stage team's rating, through the quick, errorless to its job seeker's professional credit, accurate division to the rating of later stage team has reached very high effect.
Step S104: the enterprise checks and verifies the past team history files of the job seeker according to resume information of the job seeker and on the Internet, and whether the job seeker is used or not is considered.
In the method and system for providing a job hunting functional team career information file based on a block chain, a plurality of job hunters can be combined into a team by creating a team, history files of the job hunters during the team are stored and uploaded on the internet after the job hunters leave the team, a user continues to invite the job hunters to join an invitation instruction of the team, and updates the history files of the team, a new job hunter joins the team whenever the job hunter leaves, when the job hunter leaves the team, the history files of the team during the team are stored for the team, the history files comprise career credits of the job hunters during the team, team members, team performance and team grade of the job hunter, and enterprises receive resume information of current job hunters at a later stage, whether the job seeker is recorded or not can be considered according to the corresponding team historical files in the period on the Internet, and the problem that due to the fact that an enterprise cannot find the complete personal work file, the personal resume is randomly filled according to the recruitment requirement of the enterprise, and uncertain loss is possibly brought to the enterprise is solved.
The user in the embodiment of the present invention refers to a job seeker initiating a team establishment, and the team created by the user can invite other job seekers to join, specifically, a manner for the user to invite other job seekers to join a created functional team may be: creating functional characteristic information of the job seeker acquired by the user of the team, wherein the functional characteristic information includes the email address, the telephone number, the instant messaging software registration number and the registration user name on the corresponding internet site of the job seeker who knows the job seeker wants to invite, and the user initiates invitation through the functional characteristic information of the job seeker; in addition, job hunting information of job hunters is stored in an internet website supporting the team job hunting method, when a user of a creation team initiates an invitation instruction to a server, the user can screen the stored job hunting information of the job hunters according to the invitation instruction so as to screen out the job hunting information of the job hunters meeting the requirements of the user, and specifically, the job hunting information correspondingly comprises user information of the job hunters, resume information and the like.
Correspondingly, the method for receiving the invitation instruction sent by the user and inviting the job seeker to join the team comprises the following steps: the method comprises the steps that a user obtains functional characteristic information of job seekers in advance; and receiving an invitation instruction which is sent by the user according to the functional characteristic information and used for inviting the job seeker to join the team, so that the job seeker can be invited to combine to form the team through the functional characteristic information.
In addition, after the job seeker is added to the team and before a team history file is saved and updated, the method further comprises the following steps: counting the vocational credit of a job seeker during a team, wherein the vocational credit of the job seeker during the team carries the vocational credit condition of the job seeker; ranking the vocational credit of the job seeker during the team according to the vocational credit condition of the job seeker; the ranked results and job credits of the job seeker during the team are presented to the team.
The enterprise that corresponds looks over according to job seeker's resume information and according to the historical archives of team on the internet in the past to job seeker and verifies, whether consider to enroll this job seeker, job seeker's professional credit terms include in the team: the specific team rating standard is classified according to the professional credit of job seekers in the team, and the occupation credit rating of the job seekers in the team defines the rank of the team.
Further, for job hunting information of job hunters added to a team, the added job hunting information can be classified and summarized according to the job application positions, salary requirements, resume information and the like, and is identified; in addition, for the added job hunting information, the job hunting information has function intention information capable of indicating the job hunting intention of the job hunter, and according to the function intention information, the functions of the job hunter in the created function team can be determined and the application positions of the job hunter can be identified.
In summary, in the method and system for providing a job hunting functional team career information file based on a block chain according to the embodiments of the present invention, a plurality of job hunters can be combined into a team by creating a team, a history file of the job hunter during the team is stored and uploaded on the internet after the job hunter leaves the team, a user continues to invite the job hunter to join an invitation instruction of the team, and updates the history file of the team, a new job hunter joins the team whenever the job hunter leaves, when the job hunter leaves the team, the history file of the team during the team of the job hunter is saved to the team, the history file includes a career credit of the job hunter during the team, a career credit rating of the job hunter during the team, a team member, a team performance and a team rating, a later enterprise receives resume information of the current job hunter, whether the job seeker is registered or not can be considered according to the corresponding team historical files in the period on the Internet, and the problem that uncertain losses are possibly brought to enterprises due to the fact that the enterprises cannot find the complete personal work files and the personal resumes are randomly filled according to the recruitment requirements of the enterprises is solved.
An embodiment of the present invention provides a job-hunting functional team vocational credit archive system based on a block chain, as shown in fig. 2, including: the module S201 is established to the team, and statistics module S202 invites job seeker to join in module S203, saves and updates team history archives module S203, enterprise screening module S204, wherein:
the team creating module S201 is used for receiving a request instruction for creating a team sent by a user, configuring the team for the user according to the request instruction, and adding the module into the block chain;
an invitation job seeker joining module S202, which receives an invitation instruction sent by the user to invite the job seeker to join the team, forwards the invitation instruction to the job seeker specified by the instruction, and after receiving agreement information of the specified job seeker, adds the job seeker corresponding to the agreement information to the team, and joins the module to the blockchain;
the counting module S203 is used for counting the vocational credit of the job seeker in the team period, wherein the vocational credit of the job seeker in the team period carries the vocational credit condition of the job seeker; ranking the vocational credit of the job seeker during the team according to the vocational credit condition of the job seeker; displaying the rated result and the career credit of the job seeker during the team in the team;
a module S204 for saving and updating a team history file, which is used to store and upload the history file of the job seeker during the team period to the internet after the job seeker leaves the team, so that the user continues to invite the job seeker to join the invitation instruction of the team, update the history file of the team, and add the module to the block chain;
an enterprise screening module S205; checking and verifying past team history records of job seekers according to resume information of the job seekers and on the Internet, considering whether the job seekers are used or not, and adding the module into a block chain.
In the embodiment of the present invention, the module for inviting job seekers to join S203 includes a characteristic information invitation module S2031, configured to obtain characteristic information of job seekers in advance, send the characteristic information to a user, and receive an invitation instruction sent by the user according to the characteristic information to invite job seekers to join the team.
In the embodiment of the invention, the team members are variable, a new candidate who requires new job seeker to join the team is sent by the team along with the leaving of the job seeker, but each time a new job seeker joins, a real team historical file is stored in the working period of the previous job seeker, wherein the real team historical file comprises the professional credit of the job seeker during the team, the professional credit level of the job seeker during the team, the team member of the job seeker during the team, the team performance of the job seeker during the team and the team level of the job seeker during the team, after the job seeker leaves, an enterprise can check resume information of the job seeker according to the past real team historical file of the job seeker, consider whether the job seeker is used or not, and achieve real and effective team job hunting.
In the embodiment of the invention, a corresponding enterprise checks and verifies the past team historical files of job seekers according to resume information of the job seekers and on the Internet, and considers whether the job seekers are used, and the vocational credit conditions of the job seekers in the team historical files comprise: the specific team rating standard is that the categories of the professional skills, professional morals, honest degree, compliance degree, performance degree, business credit, asset credit, credit and the like are expressed in the process of performing professional behaviors, the category of the specific team rating standard is divided according to the professional credit of job seekers in the team, and the proportion of the professional credit rating of the job seekers in the team defines the rank of the team.
In the embodiment of the present invention, the characteristic information may be one or more of a registration name, a mailbox, a telephone, and the like corresponding to the invitation module according to the characteristic information.
It should be noted that the functional team in the embodiment of the present invention refers to a basic organization unit which is composed of two or more persons, has a certain skill or knowledge, and can independently complete or achieve a specific functional target, and is specifically expressed as a team of management, technical development, production, sales, market, and the like.
In summary, the embodiments of the present invention provide a method and a system for vocational credit record of job hunting functional team based on block chain, where the method includes: receiving a request instruction for creating a team sent by a user, and creating the team for the user according to the request instruction; receiving an invitation instruction sent by the user for inviting a job seeker to join the team, and adding the job seeker to the team; storing and updating a team history file, storing and uploading the team history file of the job seeker in the team period to the Internet after the job seeker leaves the team, and continuously inviting the job seeker to join in an invitation instruction of the team by a user and updating the team history file; the enterprise checks and verifies the past team historical files of the job seeker according to resume information of the job seeker and the Internet, and whether the job seeker is used or not is considered.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A job-seeking functional team career credit archive method based on a block chain is characterized by comprising the following steps:
receiving a request instruction for creating a team sent by a user, and creating the team for the user according to the request instruction;
receiving an invitation instruction sent by the user for inviting a job seeker to join the team, forwarding the invitation instruction to a job seeker appointed by the instruction, and adding the job seeker corresponding to the approval information to the team after receiving the approval information of the appointed job seeker;
storing and updating a team history file, storing and uploading the history file of the job seeker in the team period to the Internet after the job seeker leaves the team, continuously inviting the job seeker to join in an invitation instruction of the team by a user, and updating the team history file;
the enterprise checks and verifies the past team history files of the job seeker according to resume information of the job seeker and on the Internet, and whether the job seeker is used or not is considered.
2. The method of claim 1, wherein receiving an invitation instruction sent by the user to invite a job seeker to join the team comprises:
the method comprises the steps of obtaining characteristic information of job seekers in advance, sending the characteristic information to a user, and receiving an invitation instruction sent by the user according to the characteristic information and used for inviting the job seekers to join a team.
3. The method of claim 1, wherein the method further comprises, after the job seeker is added to the team and before a team history profile is saved and updated:
counting the vocational credit of a job seeker during a team, wherein the vocational credit of the job seeker during the team carries the vocational credit condition of the job seeker; ranking the vocational credit of the job seeker during the team according to the vocational credit condition of the job seeker;
the ranked results and job credits of the job seeker during the team are presented to the team.
4. The method of claim 1, wherein the team history profile comprises one or more of job applicant's professional credit during a team, job applicant's professional credit rating during a team, team member, team performance, and team rating.
5. The method of claim 3, wherein the step of ranking the job credits of the job seeker during a team against their job credit terms comprises:
step A1, constructing the career credit data of the job seeker by the following formula:
wherein X represents total data of vocational credit conditions of job seeker1Represents a conditional occupational skill, x2Represents a conditional professional moral, x3Representing the sincerity of the condition, wherein m represents the number of the vocational credit condition data of the job seeker screened and collected by the model;
step A2, dividing the rating levels of the job seeker into four categories A, B, C and D, wherein A represents that the job seeker has excellent professional credit level during the team, B represents that the job seeker has good professional credit level during the team, C represents that the job seeker has passed professional credit level during the team, and D represents that the job seeker has poor professional credit level during the team;
step A3, grading the team, and pre-dividing the grades into 3 grades, wherein a represents the excellent grade of the team, b represents the good grade of the team, and c represents the general grade of the team;
step a4, calculating the vocational credit rating of each job seeker during the team according to the following formula:
wherein Q represents the vocational credit rating of the job seeker during the team, X represents the total data of the vocational credit terms of the job seeker, w1, b1, w2, b2 represent pre-trained parameter values, and e represents an irrational number, which is 2.71828;
step A5, calculating the professional credit rating of each job seeker during the team, and then ranking the team according to the occupation ratio of the job seeker in the team during the team.
6. A job-hunting functional team career information archive system based on a blockchain, the system comprising:
the team creating module receives a team creating request instruction sent by a user, creates a team for the user according to the request instruction, and adds the module into the block chain;
the invitation job seeker joining module is used for receiving an invitation instruction sent by the user and used for inviting the job seeker to join the team, forwarding the invitation instruction to the job seeker appointed by the instruction, adding the job seeker corresponding to the agreement information to the team after receiving the agreement information of the appointed job seeker, and joining the module to the block chain;
the system comprises a team history file storage and updating module, a block chain module and a module, wherein the team history file storage and updating module is used for storing and uploading a history file of a job seeker in a team period to the Internet after the job seeker leaves the team, and a user continues to invite the job seeker to join an invitation instruction of the team, updates the history file of the team and adds the module to the block chain;
an enterprise screening module; checking and verifying past team history records of job seekers according to resume information of the job seekers and on the Internet, considering whether the job seekers are used or not, and adding the module into a block chain.
7. The system of claim 6, wherein the invite job seeker joining module comprises: and the characteristic information invitation module is used for acquiring the characteristic information of the job seeker in advance, sending the characteristic information to the user and receiving an invitation instruction which is sent by the user according to the characteristic information and used for inviting the job seeker to join the team.
8. The system of claim 6, further comprising: the system comprises a counting module, a processing module and a processing module, wherein the counting module is used for counting the vocational credit of a job seeker during a team, and the vocational credit of the job seeker during the team carries the vocational credit condition of the job seeker; ranking the vocational credit of the job seeker during the team according to the vocational credit condition of the job seeker; the ranked results and job credits of the job seeker during the team are presented to the team.
9. The system of claim 6, wherein the team history record comprises: job applicant's job credit during the team, job applicant's job credit rating during the team, team members, team performance, and team rating.
10. The system of claim 9, wherein the step of ranking the job credits of the job seeker during the team against their job credit terms comprises:
step A1, constructing the career credit data of the job seeker by the following formula:
wherein X represents total data of vocational credit conditions of job seeker1Represents a conditional occupational skill, x2Represents a conditional professional moral, x3Representing the sincerity of the condition, wherein m represents the number of the vocational credit condition data of the job seeker screened and collected by the model;
step A2, dividing the rating levels of the job seeker into four categories A, B, C and D, wherein A represents that the job seeker has excellent professional credit level during the team, B represents that the job seeker has good professional credit level during the team, C represents that the job seeker has passed professional credit level during the team, and D represents that the job seeker has poor professional credit level during the team;
step A3, grading the team, and pre-dividing the grades into 3 grades, wherein a represents the excellent grade of the team, b represents the good grade of the team, and c represents the general grade of the team;
step a4, calculating the vocational credit rating of each job seeker during the team according to the following formula:
wherein Q represents the vocational credit rating of the job seeker during the team, X represents the total data of the vocational credit terms of the job seeker, w1, b1, w2, b2 represent pre-trained parameter values, and e represents an irrational number, which is 2.71828;
step A5, calculating the professional credit rating of each job seeker during the team, and then ranking the team according to the occupation ratio of the job seeker in the team during the team.
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