CN114611859A - Method and system for intelligent recruitment of software platform - Google Patents

Abstract

The application provides a method and a system for intelligent recruitment of a software platform, which have high matching performance and strong man-machine interaction, and can store mass data and elastically expand the mass data; the method mainly comprises the following steps: an enterprise user issues an employment task through an enterprise PC end platform; flexible professionals fill in personal resume information through the APP terminal and register an intentional employment task; the platform management terminal preliminarily performs matching verification of the registration personnel and the employment task, and registration can be successful after matching is successful; and (4) carrying out deep matching between the registration personnel and the employment task through a big data platform, screening out the registration personnel which best meets the employment task, and generating a tripartite agreement electronic contract, wherein the recruitment agreement is reached when each party signs the electronic contract.

Description

Method and system for intelligent recruitment of software platform

Technical Field

The invention relates to the technical field of human data software platforms, in particular to a method and a system for intelligent recruitment of a software platform.

Background

The increasing labor and marketing costs put a great deal of pressure on the development of enterprises. And through the mode of internet crowdsourcing, the enterprise is facilitated to reduce cost and improve efficiency, and diversified and differentiated customer demands provide market conditions for crowdsourcing.

The fundamental difference between crowdsourcing and outsourcing is that outsourcing is a necessary result of social specialization and division of labor and is a product of large-scale economy under the specialization; crowdsourcing is a more individual behavior, benefiting from the innovative potential brought by social differentiation and diversification. Currently, the demands of users are diversified, the market is more trivial, and the demands of users gradually become personalized. Diversified and differentiated customer demands not only put higher demands on enterprises, but also provide market conditions.

Third, the development of network platforms provides sufficient talent conditions for crowdsourcing. Various network virtual communities are developed vigorously, internet users are increased rapidly, and among numerous flexible professionals, talents with various characteristics are not lacked, so that a continuous solution is provided for the frequent problem of enterprises.

However, when the quality of the human resource software platform is not uniform and the matching is low, once the human enterprise selects the agent platform lacking the expertise, the enterprise may not obtain an effective service and support and also pay more cost and bear more human risks.

In view of this, the invention provides a method and a system for intelligent employment of a software platform, which have high matching performance and strong man-machine interaction, and can store mass data and flexibly expand the mass data.

Disclosure of Invention

The invention aims to provide a method and a system for intelligent recruitment of a software platform, which have high matching performance and strong man-machine interaction and can store mass data and flexibly expand the mass data.

One aspect of the application provides a method for intelligent recruitment of a software platform, comprising the following steps:

(a) an enterprise user issues an employment task through an enterprise PC end platform;

(b) the flexible careers fill in personal resume information through the APP terminal and register the intentional employment tasks;

(c) the platform management terminal preliminarily performs matching verification of the registration personnel and the employment task, and registration can be successful after matching is successful;

(d) and (4) carrying out deep matching between the registration personnel and the employment task through a big data platform, screening out the registration personnel which best meets the employment task, and generating a tripartite agreement electronic contract, wherein the recruitment agreement is reached when each party signs the electronic contract.

In some embodiments, in step (a), the enterprise user logs on the enterprise PC end platform first and then releases the employment task, including the steps of:

(a1) the enterprise user clicks the registration to enter a registration page, fills in an enterprise name, an enterprise mailbox, a password and an enterprise name, and submits the registration;

(a2) after the registration is finished, clicking the login to enter a login page, and inputting an enterprise mailbox and a password for login;

(a3) clicking personal center-real name system authentication, entering a real name system data filling page, filling and submitting enterprise names, tax numbers and business licenses, and waiting for the verification of a software platform;

(a4) a platform administrator logs in a platform management end, clicks the enterprise real-name authentication and verification management to enter a verification page, can see all data to be verified, confirms that the enterprise filled data is correct, and clicks verification to pass, so that logging can be completed;

(a5) the enterprise clicks the recruitment requirement to be issued, enters a requirement issuing page, and fills in information of the recruitment task, wherein the information of the recruitment task comprises: the method comprises the following steps of requirement type, project name, requirement description, requirement file/picture, requirement place, requirement time, required number of people, requirement cost and registration deadline, and the recruitment task is completed by clicking to publish.

Furthermore, a living body authentication technology is adopted to carry out enterprise real-name authentication, and the accuracy of the real-name authentication is ensured.

In some embodiments, in the step (b), the flexible professional logs in the APP, fills in personal resume information and collection account information, and registers an intended employment task.

Further, flexible careers log in the APP terminal, and the method comprises the following steps:

(b1) nimble occupational personnel click APP and register, fill in registration information, and registration information includes: the mobile phone number, the nickname and the password can be successfully registered;

(b2) clicking personal center-real name system authentication, entering a real name system authentication filling page, inputting a name, a mobile phone number, an identity card number and the square data of an identity card, clicking and submitting, entering a face recognition function, performing corresponding operation according to a prompt, and completing the real name system authentication after the face recognition function is passed, thus successfully logging in.

Furthermore, the living body authentication technology is adopted to carry out personal real-name authentication, and the accuracy of real-name authentication is ensured.

Further, the personal resume information is filled in the personal center, and the personal resume information comprises: personal data, educational experiences, work experiences, project experiences.

Further, the profile includes: nickname, gender, avatar, location, occupational skills, educational experience including: school, school calendar, educational hours, work experience includes: past work units, work hours, positions, project experience includes: project name, time, project description, responsibility description.

Further, the method comprises the steps of filling in collection account information in the personal center, filling in an account opening bank, an account opening name, an account opening number and a bank reserved mobile phone number, clicking to obtain a verification code, inputting the received verification code, and clicking to store.

Furthermore, clicking a demand hall, entering a demand hall page, seeing the recruitment task information issued by all enterprises, selecting an intentional recruitment task according to a screening function, clicking the recruitment task to enter a recruitment task detail page, looking up the recruitment task detail information, and clicking to register.

In some embodiments, in the step (c), the platform management end is connected with a real-time machine learning algorithm to preliminarily match the analysis registration personnel with the employment task, and after the matching is successful, the flexible caregivers can register successfully.

Furthermore, the real-time machine learning algorithm can also continuously perfect a risk model by analyzing real-time data and historical data, dynamically match result data with the risk model, monitor data quality and send out early warning.

In some embodiments, in the step (d), after the registration time is expired, the big data platform performs deep matching on the registration personnel and the employment task, and the big data platform calculates a union of results by using three algorithm models, namely naive Bayes, gradient lifting trees and multilayer perceptrons, as a final result of intelligent matching.

Further, a real-time processing framework Spark and a machine learning technology based on a big data platform perform self-optimization on the matching success rate and the user feedback.

Spark is a fast and general computing engine specially designed for large-scale data processing, and can be better applied to algorithms requiring iteration, such as data mining, machine learning and the like.

Furthermore, intelligent matching of the registration personnel and the employment task is realized by adopting a SpringMVC framework, a queue function of redis and a Postgres database and combining with a java multi-process algorithm technology.

The SpringMVC framework is designed around servlets by taking requests as drivers, sending the requests to a controller, and then showing the result views of the requests through a model object and a dispatcher.

Redis is a high-performance Key-Value database, supports network, can be based on a memory and can also be a persistent log-type, Key-Value database, and provides APIs of multiple languages.

PostgreSQL is a very full-featured, software-free object-relational database management system that supports most SQL standards and provides many other modern features such as complex queries, foreign keys, triggers, views, transaction integrity, multi-version concurrency control, and the like.

Furthermore, the method is constructed by adopting an SOA (service oriented architecture) and a big data base platform, and has the technical characteristics of high concurrency access, mass data storage, big data analysis, openness and flexible expansion.

The SOA service-oriented architecture splits different functional units (called services) of an application program and is connected by well-defined interfaces and protocols among the services. The interface is defined in a neutral manner and should be independent of the hardware platform, operating system, and programming language in which the service is implemented. This allows services built into a wide variety of systems to interact in a uniform and versatile manner.

Further, a three-party agreement electronic contract is automatically generated by adopting a digital signature technology, and the three-party agreement electronic contract is signed by adopting the electronic signature technology, wherein the electronic signature technology covered by the signing of the three-party agreement electronic contract comprises the following steps: the digital certificate authentication and third party timing technology can achieve the anti-tampering purpose while ensuring the true and effective identity of each party signing the contract.

Furthermore, the three-party agreement electronic contract adopts password verification and encryption technology in the transmission process, and integrates multiple guarantees.

In some embodiments, the method for intelligent employment of a software platform further comprises the step (e): the enterprise user clicks the recruitment task which has reached the work agreement through the enterprise PC end platform, the fund is managed on the software platform through online payment, the flexible staff can start to execute the recruitment task, the completed work content is submitted through the APP end after the recruitment task is completed, and the fund managed on the software platform is directly transferred to the personal account of the flexible staff after the enterprise confirms that the click is completed.

Furthermore, the enterprise checks the relevant data submitted by the flexible professionals, after the data are confirmed to be correct, the data are clicked, the payment passwords are input, and funds managed on the software platform are directly transferred to the personal accounts of the flexible professionals.

Furthermore, the enterprise clicks invoice management, can check all invoiceable tasks, clicks invoicing, inputs invoicing information and clicks submission; and the platform financial staff clicks audit management-invoicing audit at the platform management end, after the corresponding invoices are invoiced, the invoicing type is completely removed, the electronic invoices are directly sent to the corresponding enterprise mailbox, and the paper invoices are sent to the enterprise reserved addressee through express delivery.

In some embodiments, the software platform adopts a front-end and back-end separation technology, so that the labor division is clear, the working efficiency is improved, and the maintenance cost is reduced.

Further, the software platform is based on a J2EE B/S/S three-layer system architecture, and a J2EE standard application thin client scheme is adopted to realize the construction of the software platform.

J2EE B/S/S three-layer architecture, which logically divides application functions into three layers: a client display layer, a service logic layer and a data layer. The client display layer is a graphical interface for providing application services for the client, and is helpful for the user to understand and efficiently locate the application services. The business logic layer is positioned between the display layer and the data layer, and provides a clear layer specially for realizing business logic of enterprises, an application model related to the system is packaged at the layer, and the user representation layer is separated from the database codes; this hierarchy provides a link between client applications and data services, the main functions being to enforce application policies and package application schemas, and to present packaged schemas to client applications. The data layer is the bottom layer of the three-layer schema and is used to define, maintain, access and update data and manage and satisfy requests for data by application services.

Furthermore, the software platform adopts a cluster structure of distributed services, and load is transferred from a single node to a plurality of nodes by using load balancing of Nginx, so that the efficiency is improved, and the risk of the whole system breakdown caused by the failure of the single node can be avoided.

Furthermore, the software platform is developed based on java language and is deployed on the tomcat server.

In another aspect of the present application, a system for intelligent employment of a software platform is provided, the system comprising: the system comprises an enterprise PC end platform, an APP end, a platform management end and a big data platform, wherein enterprise users issue employment tasks through the enterprise PC end platform; the flexible careers fill in personal resume information through the APP terminal and register the intentional employment tasks; the platform management terminal preliminarily performs matching verification of the registration personnel and the employment task, and registration can be successful after matching is successful; and (4) carrying out deep matching between the registration personnel and the employment task through a big data platform, screening out the registration personnel which best meets the employment task, and generating a tripartite agreement electronic contract, wherein the recruitment agreement is reached when each party signs the electronic contract.

In some embodiments, enterprise users log on to the enterprise PC-side platform before deploying employment tasks.

Further, the enterprise user logs in the enterprise PC end platform as follows: the enterprise user clicks the registration to enter a registration page, fills in an enterprise name, an enterprise mailbox, a password and an enterprise name, and submits the registration; after the registration is finished, clicking the login to enter a login page, and inputting an enterprise mailbox and a password for login; clicking personal center-real name system authentication, entering a real name system data filling page, filling and submitting enterprise names, tax numbers and business licenses, and waiting for the verification of a software platform; and a platform administrator logs in the platform management end, clicks the enterprise real-name authentication and audit management to enter an audit page, can see all data to be audited, confirms that the enterprise filled data is correct, and clicks audit to pass, so that logging can be completed.

Further, the enterprise clicks the recruitment requirement to be released, enters a requirement release page, fills in information of the recruitment task, and the information of the recruitment task comprises: the method comprises the following steps of requirement type, project name, requirement description, requirement file/picture, requirement place, requirement time, required number of people, requirement cost and registration deadline, and the recruitment task is completed by clicking to publish.

Furthermore, a living body authentication technology is adopted to carry out enterprise real-name authentication, and the accuracy of the real-name authentication is ensured.

In some embodiments, the flexible caretaker logs in to the APP terminal first, then fills in personal resume information and collection account information, and logs in to the intended employment task.

Further, the flexible career login APP terminal is as follows: nimble occupational personnel click APP and register, fill in registration information, and registration information includes: the mobile phone number, the nickname and the password can be successfully registered; clicking personal center-real name system authentication, entering a real name system authentication filling page, inputting a name, a mobile phone number, an identity card number and the square data of an identity card, clicking and submitting, entering a face recognition function, performing corresponding operation according to a prompt, and completing the real name system authentication after the face recognition function is passed, thus successfully logging in.

Furthermore, the living body authentication technology is adopted to carry out personal real-name authentication, and the accuracy of real-name authentication is ensured.

Further, the personal resume information is filled in the personal center, and the personal resume information comprises: personal data, educational experiences, work experiences, project experiences.

Further, the profile includes: nickname, gender, avatar, location, occupational skills, educational experience including: school, school calendar, educational hours, work experience includes: past work units, work hours, positions, project experience includes: project name, time, project description, responsibility description.

Further, the method comprises the steps of filling in collection account information in the personal center, filling in an account opening bank, an account opening name, an account opening number and a bank reserved mobile phone number, clicking to obtain a verification code, inputting the received verification code, and clicking to store.

Furthermore, clicking a demand hall, entering a demand hall page, seeing the recruitment task information issued by all enterprises, selecting an intentional recruitment task according to a screening function, clicking the recruitment task to enter a recruitment task detail page, looking up the recruitment task detail information, and clicking to register.

In some embodiments, the platform management end is connected with a real-time machine learning algorithm, preliminary matching is carried out on analysis registration personnel and employment tasks, and flexible occupational personnel can successfully register after matching is successful.

Furthermore, the real-time machine learning algorithm can also continuously perfect a risk model by analyzing real-time data and historical data, dynamically match result data with the risk model, monitor data quality and send out early warning.

In some embodiments, after the registration time is expired, the big data platform performs deep matching on the registration personnel and the employment task, and the big data platform adopts three algorithm models, namely naive Bayes, gradient lifting trees and multilayer perceptrons, to calculate a union of results as a final result of intelligent matching.

Further, a real-time processing framework Spark and a machine learning technology based on a big data platform perform self-optimization on the matching success rate and the user feedback.

Furthermore, intelligent matching of the registration personnel and the employment task is realized by adopting a SpringMVC framework, a queue function of redis and a Postgres database and combining with a java multi-process algorithm technology.

Furthermore, the method is constructed by adopting an SOA (service oriented architecture) and a big data base platform, and has the technical characteristics of high concurrency access, mass data storage, big data analysis, openness and flexible expansion.

Further, a three-party agreement electronic contract is automatically generated by adopting a digital signature technology, and the three-party agreement electronic contract is signed by adopting the electronic signature technology, wherein the electronic signature technology covered by the signing of the three-party agreement electronic contract comprises the following steps: the digital certificate authentication and third party timing technology can achieve the anti-tampering purpose while ensuring the true and effective identity of each party signing the contract.

Furthermore, the three-party agreement electronic contract adopts password verification and encryption technology in the transmission process, and integrates multiple guarantees.

In some embodiments, the system for intelligent employment of software platforms further comprises: the enterprise user clicks the recruitment task which has reached the work agreement through the enterprise PC end platform, the fund is managed on the software platform through online payment, the flexible staff can start to execute the recruitment task, the completed work content is submitted through the APP end after the recruitment task is completed, and the fund managed on the software platform is directly transferred to the personal account of the flexible staff after the enterprise confirms that the click is completed.

Furthermore, the enterprise checks the relevant data submitted by the flexible professionals, after the data are confirmed to be correct, the data are clicked, the payment passwords are input, and funds managed on the software platform are directly transferred to the personal accounts of the flexible professionals.

Furthermore, the enterprise clicks invoice management, can check all invoiceable tasks, clicks invoicing, inputs invoicing information and clicks submission; and the platform financial staff clicks audit management-invoicing audit at the platform management end, after the corresponding invoice is issued, the invoice type is completely issued, the electronic invoice is directly sent to the corresponding enterprise mailbox, and the paper invoice is sent to the enterprise reserved addressee through express delivery.

In some embodiments, the software platform adopts a front-end and back-end separation technology, so that the labor division is clear, the working efficiency is improved, and the maintenance cost is reduced.

Further, the software platform is based on a J2EE B/S/S three-layer system architecture, and a J2EE standard application thin client scheme is adopted to realize the construction of the software platform.

Furthermore, the software platform adopts a cluster structure of distributed services, and load is transferred from a single node to a plurality of nodes by using load balancing of Nginx, so that the efficiency is improved, and the risk of the whole system breakdown caused by the failure of the single node can be avoided.

Furthermore, the software platform is developed based on java language and is deployed on the tomcat server.

Compared with the prior art, the method has the advantages that 1, based on a real-time processing frame Spark of big data and a machine learning technology, self-optimization is carried out on the matching success rate and the user feedback, and the matching performance is high; 2. the platform management end is connected with a real-time machine learning algorithm, a risk model is continuously perfected by analyzing real-time data and historical data, and result data are dynamically matched with the risk model, so that the data quality can be monitored and early warning can be given out; 3. the method is constructed by adopting an SOA (service oriented architecture) and a big data base platform, and has the technical characteristics of high concurrency access, mass data storage, big data analysis, openness, flexible expansion and the like; 4. the intelligent monitoring system is convenient to use, friendly in interface and strong in man-machine interaction, greatly simplifies user operation, and can effectively improve monitoring work efficiency.

Detailed Description

The following examples are described to aid in the understanding of the present application and are not, and should not be construed to, limit the scope of the present application in any way.

In the following description, those skilled in the art will recognize that throughout the present discussion, systems or modules may be described as separate functional units (which may include sub-units), but those skilled in the art will recognize that various systems or modules may be divided into separate modules or may be integrated together.

Example 1:

a method for intelligent employment of a software platform comprises the following steps:

(a) an enterprise user issues an employment task through an enterprise PC end platform;

(b) the flexible careers fill in personal resume information through the APP terminal and register the intentional employment tasks;

(c) the platform management terminal preliminarily performs matching verification of the registration personnel and the employment task, and registration can be successful after matching is successful;

(d) and deeply matching the registration personnel with the employment task through a big data platform, screening out the registration personnel most meeting the employment task, and generating a three-party agreement electronic contract, wherein if each party signs the electronic contract, the agreement is reached.

In the step (a), the enterprise user logs in the enterprise PC end platform first and then distributes the employment task, which comprises the following steps: (a1) the enterprise user clicks the registration to enter a registration page, fills in an enterprise name, an enterprise mailbox, a password and an enterprise name, and submits the registration; (a2) after the registration is finished, clicking the login to enter a login page, and inputting an enterprise mailbox and a password for login; (a3) clicking personal center-real name system authentication, entering a real name system data filling page, filling and submitting enterprise names, tax numbers and business licenses, and waiting for the verification of a software platform; (a4) a platform administrator logs in a platform management end, clicks the enterprise real-name authentication and verification management to enter a verification page, can see all data to be verified, confirms that the enterprise filled data is correct, and clicks verification to pass, so that logging can be completed; (a5) the enterprise clicks the recruitment requirement to be issued, enters a requirement issuing page, and fills in information of the recruitment task, wherein the information of the recruitment task comprises: the method comprises the following steps of requirement type, project name, requirement description, requirement file/picture, requirement place, requirement time, required number of people, requirement cost and registration deadline, and the recruitment task is completed by clicking to publish. And the living body authentication technology is adopted to carry out enterprise real-name authentication, so that the accuracy of the real-name authentication is ensured.

In the step (b), the flexible professional firstly logs in the APP terminal, then fills in the personal resume information and the collection account information, and registers an intentional employment task. Flexible occupational personnel log in APP end, including the step (b1) flexible occupational personnel clicks APP and registers, fills in registration information, and registration information includes: the mobile phone number, the nickname and the password can be successfully registered; (b2) clicking personal center-real name system authentication, entering a real name system authentication filling page, inputting a name, a mobile phone number, an identity card number and the square data of an identity card, clicking and submitting, entering a face recognition function, performing corresponding operation according to a prompt, and completing the real name system authentication after the face recognition function is passed, thus successfully logging in. And the living body authentication technology is adopted to carry out personal real-name authentication, so that the accuracy of the real-name authentication is ensured. Filling personal resume information in the personal center, wherein the personal resume information comprises: personal data, educational experiences, work experiences, project experiences. The personal data includes: nickname, gender, avatar, location, occupational skills, educational experience including: school, school calendar, educational hours, work experience includes: past work units, work hours, positions, project experience includes: project name, time, project description, responsibility description. And filling in collection account information in the personal center, filling in an account opening bank, an account opening name, an account opening number and a bank reserved mobile phone number, clicking to acquire a verification code, inputting the received verification code, and clicking to store. Clicking a demand hall, entering a demand hall page, seeing the recruitment task information issued by all enterprises, selecting an intentional recruitment task according to a screening function, clicking the recruitment task to enter a recruitment task detail page, seeing the recruitment task detail information, and clicking to register.

In the step (c), the platform management end is connected with a real-time machine learning algorithm to preliminarily match the analysis registration personnel with the employment task, and after the matching is successful, the flexible occupational personnel can successfully register. The real-time machine learning algorithm can also continuously improve the risk model by analyzing real-time data and historical data, dynamically match result data with the risk model, monitor data quality and send out early warning. In the step (d), after the registration time is cut off, the big data platform carries out deep matching on registration workers and employment tasks, and the big data platform adopts a union of calculation results of three algorithm models, namely naive Bayes, a gradient lifting tree and a multilayer perceptron, as a final result of intelligent matching. And performing self-optimization on the matching success rate and the user feedback based on a real-time processing frame Spark and a machine learning technology of a big data platform. And the intelligent matching of the registration personnel and the employment task is realized by adopting a SpringMVC frame, the queue function of redis and a Postgres database and combining the multi-process algorithm technology of java. The method is constructed by adopting an SOA (service oriented architecture) and a big data base platform, and has the technical characteristics of high concurrency access, mass data storage, big data analysis, openness and flexible expansion. The method comprises the following steps of automatically generating a three-party agreement electronic contract by adopting a digital signature technology, signing the three-party agreement electronic contract by adopting the electronic signature technology, wherein the electronic signature technology covered by the signing of the three-party agreement electronic contract comprises the following steps: the digital certificate authentication and third party timing technology can achieve the anti-tampering purpose while ensuring the true and effective identity of each party signing the contract. The electronic contract with the three-party agreement adopts the password verification and the encryption technology in the transmission process, and integrates multiple guarantees. The intelligent recruitment method of the software platform further comprises the following steps of (e): the enterprise user clicks the employment task which has reached the employment agreement through the enterprise PC end platform, the capital is managed on the software platform through online payment, flexible professionals can start to execute the employment task, the completed work content is submitted through the APP end after the employment task is completed, and the capital managed on the software platform is directly transferred to the personal account of the flexible professionals after the enterprise confirms that the clicking is completed. And the enterprise checks the related data submitted by the flexible occupational personnel, after the data are confirmed to be correct, the data are clicked, the payment password is input, and the funds managed on the software platform are directly transferred to the personal account of the flexible occupational personnel. The enterprise clicks invoice management, can check all invoiceable tasks, clicks invoicing, inputs invoicing information and clicks submission; and the platform financial staff clicks audit management-invoicing audit at the platform management end, after the corresponding invoice is issued, the invoice type is completely issued, the electronic invoice is directly sent to the corresponding enterprise mailbox, and the paper invoice is sent to the enterprise reserved addressee through express delivery.

The software platform adopts a front-end and rear-end separation technology, has clear division of labor, improves the working efficiency and reduces the maintenance cost. The software platform is based on a B/S/S three-layer system architecture of J2EE, and a thin client application scheme based on J2EE standard is adopted to realize the construction of the software platform. The software platform adopts a cluster structure of distributed services, and load is transferred from a single node to a plurality of nodes by using load balancing of Nginx, so that the efficiency is improved, and the risk of the whole system breakdown caused by the failure of the single node can be avoided. The software platform is developed based on java language and is deployed on the tomcat server.

Example 2:

a system for intelligent recruitment of software platforms, the system comprising: the system comprises an enterprise PC end platform, an APP end, a platform management end and a big data platform, wherein enterprise users issue employment tasks through the enterprise PC end platform; the flexible careers fill in personal resume information through the APP terminal and register the intentional employment tasks; the platform management terminal preliminarily performs matching verification of the registration personnel and the employment task, and registration can be successful after matching is successful; and (4) carrying out deep matching between the registration personnel and the employment task through a big data platform, screening out the registration personnel which best meets the employment task, and generating a tripartite agreement electronic contract, wherein the recruitment agreement is reached when each party signs the electronic contract.

The enterprise user logs in the PC end platform of the enterprise first and then distributes the employment task. The platform for the enterprise user to log in the PC end of the enterprise is as follows: the enterprise user clicks the registration to enter a registration page, fills in an enterprise name, an enterprise mailbox, a password and an enterprise name, and submits the registration; after the registration is finished, clicking the login to enter a login page, and inputting an enterprise mailbox and a password for login; clicking personal center-real name system authentication, entering a real name system data filling page, filling and submitting enterprise names, tax numbers and business licenses, and waiting for the verification of a software platform; and a platform administrator logs in the platform management end, clicks the enterprise real-name authentication and audit management to enter an audit page, can see all data to be audited, confirms that the enterprise filled data is correct, and clicks audit to pass, so that logging can be completed. The enterprise clicks the recruitment requirement to be issued, enters a requirement issuing page, and fills in information of the recruitment task, wherein the information of the recruitment task comprises: the method comprises the following steps of requirement type, project name, requirement description, requirement file/picture, requirement place, requirement time, required number of people, requirement cost and registration deadline, and the recruitment task is completed by clicking to publish. And the living body authentication technology is adopted to carry out enterprise real-name authentication, so that the accuracy of the real-name authentication is ensured.

The flexible caretaker logs in the APP terminal first, then fills in personal resume information and collection account information, and registers an intentional employment task. The flexible staff login APP terminal is: nimble occupational personnel click APP and register, fill in registration information, and registration information includes: the mobile phone number, the nickname and the password can be successfully registered; clicking personal center-real name system authentication, entering a real name system authentication filling page, inputting a name, a mobile phone number, an identity card number and the square data of an identity card, clicking and submitting, entering a face recognition function, performing corresponding operation according to a prompt, and completing the real name system authentication after the face recognition function is passed, thus successfully logging in. And the living body authentication technology is adopted to carry out personal real-name authentication, so that the accuracy of the real-name authentication is ensured. Filling personal resume information in the personal center, wherein the personal resume information comprises: personal data, educational experiences, work experiences, project experiences. The personal data includes: nickname, gender, avatar, location, occupational skills, educational experience including: school, school calendar, educational hours, work experience includes: past work units, work hours, positions, project experience includes: project name, time, project description, responsibility description. And filling in collection account information in the personal center, filling in an account opening bank, an account opening name, an account opening number and a bank reserved mobile phone number, clicking to acquire a verification code, inputting the received verification code, and clicking to store. Clicking a demand hall, entering a demand hall page, seeing the recruitment task information issued by all enterprises, selecting the intentional recruitment task according to the screening function, clicking the recruitment task entering recruitment task detail page, checking the recruitment task detail information, and clicking the registration.

And the platform management end is connected with a real-time machine learning algorithm, preliminary matching is carried out on the analysis registration personnel and the employment task, and the flexible occupational personnel can successfully register after successful matching. The real-time machine learning algorithm can also continuously perfect a risk model by analyzing real-time data and historical data, dynamically match result data with the risk model, monitor data quality and send out early warning. And after the registration time is cut off, the big data platform carries out deep matching on registration personnel and the employment task, and the big data platform adopts a union of calculation results of three algorithm models, namely naive Bayes, a gradient lifting tree and a multilayer perceptron, as a final result of intelligent matching. And performing self-optimization on the matching success rate and the user feedback based on a real-time processing framework Spark of a big data platform and a machine learning technology. And the intelligent matching of the registration personnel and the employment task is realized by adopting a SpringMVC frame, the queue function of redis and a Postgres database and combining the multi-process algorithm technology of java. The method is constructed by adopting an SOA (service oriented architecture) and a big data base platform, and has the technical characteristics of high concurrency access, mass data storage, big data analysis, openness and flexible expansion. The method comprises the following steps of automatically generating a three-party agreement electronic contract by adopting a digital signature technology, signing the three-party agreement electronic contract by adopting the electronic signature technology, wherein the electronic signature technology covered by the signing of the three-party agreement electronic contract comprises the following steps: the digital certificate authentication and third party timing technology can achieve the anti-tampering purpose while ensuring the true and effective identity of each party signing the contract. The electronic contract with the three-party agreement adopts the password verification and the encryption technology in the transmission process, and integrates multiple guarantees.

The system for intelligent employment of the software platform further comprises: the enterprise user clicks the recruitment task which has reached the work agreement through the enterprise PC end platform, the fund is managed on the software platform through online payment, the flexible staff can start to execute the recruitment task, the completed work content is submitted through the APP end after the recruitment task is completed, and the fund managed on the software platform is directly transferred to the personal account of the flexible staff after the enterprise confirms that the click is completed. And the enterprise checks the related data submitted by the flexible occupational personnel, after the data are confirmed to be correct, the data are clicked, the payment password is input, and the funds managed on the software platform are directly transferred to the personal account of the flexible occupational personnel. The enterprise clicks invoice management, can check all invoiceable tasks, clicks invoicing, inputs invoicing information and clicks submission; and the platform financial staff clicks audit management-invoicing audit at the platform management end, after the corresponding invoices are invoiced, the invoicing type is completely removed, the electronic invoices are directly sent to the corresponding enterprise mailbox, and the paper invoices are sent to the enterprise reserved addressee through express delivery. The software platform adopts a front-end and rear-end separation technology, has clear division of labor, improves the working efficiency and reduces the maintenance cost. The software platform is based on a B/S/S three-layer system architecture of J2EE, and a thin client application scheme based on J2EE standard is adopted to realize the construction of the software platform. The software platform adopts a cluster structure of distributed services, and load is transferred from a single node to a plurality of nodes by using load balancing of Nginx, so that the efficiency is improved, and the risk of the whole system breakdown caused by the failure of the single node can be avoided. The software platform is developed based on java language and is deployed on the tomcat server.

While various aspects and embodiments have been disclosed herein, it will be apparent to those skilled in the art that other aspects and embodiments can be made without departing from the spirit of the disclosure, and that several modifications and improvements can be made without departing from the spirit of the disclosure. The various aspects and embodiments disclosed herein are presented by way of example only and are not intended to limit the present disclosure, which is to be controlled in the spirit and scope of the appended claims.

Claims (10)

1. A method for intelligent employment of a software platform is characterized by comprising the following steps:

(a) an enterprise user issues an employment task through an enterprise PC end platform;

(b) the flexible careers fill in personal resume information through the APP terminal and register the intentional employment tasks;

(c) the platform management terminal preliminarily performs matching verification of the registration personnel and the employment task, and registration can be successful after matching is successful;

(d) and (4) carrying out deep matching between the registration personnel and the employment task through a big data platform, screening out the registration personnel which best meets the employment task, and generating a tripartite agreement electronic contract, wherein the recruitment agreement is reached when each party signs the electronic contract.

2. The method for intelligent recruitment of software platforms of claim 1, wherein in step (a), the enterprise user logs in the enterprise PC end platform first and then distributes recruitment tasks, comprising the steps of:

(a1) the enterprise user clicks the registration to enter a registration page, fills in an enterprise name, an enterprise mailbox, a password and an enterprise name, and submits the registration;

(a2) after the registration is finished, clicking the login to enter a login page, and inputting an enterprise mailbox and a password for login;

(a3) clicking personal center-real name system authentication, entering a real name system data filling page, filling and submitting enterprise names, tax numbers and business licenses, and waiting for the verification of a software platform;

(a4) a platform administrator logs in a platform management end, clicks the enterprise real-name authentication and verification management to enter a verification page, can see all data to be verified, confirms that the enterprise filled data is correct, and clicks verification to pass, so that logging can be completed;

(a5) the enterprise clicks the recruitment requirement to be issued, enters a requirement issuing page, and fills in information of the recruitment task, wherein the information of the recruitment task comprises: the method comprises the following steps of requirement type, project name, requirement description, requirement file/picture, requirement place, requirement time, required number of people, requirement cost and registration deadline, and the recruitment task is completed by clicking to publish.

3. The method for intelligent recruitment of software platforms of claim 1 wherein in step (b) the method comprises one or more features selected from the group consisting of:

(1) flexible occupational personnel log in APP end, including the step (b1) flexible occupational personnel clicks APP and registers, fills in registration information, and registration information includes: the mobile phone number, the nickname and the password can be successfully registered; (b2) clicking personal center-real name system authentication, entering a real name system authentication filling page, inputting a name, a mobile phone number, an identity card number and square data of an identity card, clicking to submit, entering a face recognition function, performing corresponding operation according to a prompt, and completing real name system authentication after the face recognition function is passed, so that successful login can be realized;

(2) the flexible professional fills in personal resume information in the personal center, wherein the personal resume information comprises: personal data, educational experiences, work experiences, project experiences. The personal data includes: nickname, gender, avatar, location, occupational skills, educational experience including: school, school calendar, educational hours, work experience includes: past work units, work hours, positions, project experience includes: project name, time, project description, responsibility description;

(3) flexible staff fill in the information of the collection account in the personal center, fill in the bank opening bank, the name of the opening account, the account number of the opening account, the reserved mobile phone number of the bank, click to obtain the identifying code, input the identifying code received, click to save;

(4) the flexible careers click the demand hall, enter the page of the demand hall, can see the recruitment task information issued by all enterprises, select the voluntary recruitment task according to the screening function, click the recruitment task to enter the recruitment task detail page, can check the recruitment task detail information, and click the registration.

4. The method for intelligent recruitment of software platforms of claim 1, wherein in step (c), the platform management end is connected with a real-time machine learning algorithm to perform preliminary matching between the analysis registration staff and the recruitment task, and after the matching is successful, the flexible vocational staff can successfully register.

5. The method for intelligent recruitment of software platforms as claimed in claim 4, wherein the real-time machine learning algorithm is further capable of continuously refining the risk model by analyzing the real-time data and the historical data, and dynamically matching the result data with the risk model, thereby monitoring the data quality and giving an early warning.

6. The method for intelligent recruitment of software platforms of claim 1 wherein in step (d) one or more features selected from the group consisting of:

(1) after the registration time is cut off, the big data platform carries out deep matching on registration personnel and the employment task, and the big data platform adopts a union of calculation results of three algorithm models, namely naive Bayes, a gradient lifting tree and a multilayer perceptron as a final result of intelligent matching;

(2) based on a real-time processing frame Spark of a big data platform and a machine learning technology, self-optimization is carried out on the matching success rate and the user feedback;

(3) the intelligent matching of the registration personnel and the employment task is realized by adopting a SpringMVC framework, a queue function of redis and a Postgres database and combining a java multi-process algorithm technology;

(4) the method comprises the following steps of automatically generating a three-party agreement electronic contract by adopting a digital signature technology, signing the three-party agreement electronic contract by adopting the electronic signature technology, wherein the electronic signature technology covered by the signing of the three-party agreement electronic contract comprises the following steps: the digital certificate authentication and third-party timing technology can achieve the anti-tampering purpose while ensuring the true and effective identity of each party signing the contract;

(5) the electronic contract with the three-party agreement adopts the password verification and the encryption technology in the transmission process, and integrates multiple guarantees.

7. The method for intelligent recruitment of software platforms of claim 1, wherein the method for intelligent recruitment of software platforms further comprises the step (e): an enterprise user clicks the recruitment task which has reached the work agreement through the enterprise PC end platform, funds are managed in the software platform through online payment, a flexible professional can start to execute the recruitment task, the completed work content is submitted through the APP end after the recruitment task is completed, and the funds managed in the software platform are directly transferred to a personal account of the flexible professional after the enterprise confirms that the clicking is completed; and the enterprise checks the related data submitted by the flexible occupational personnel, after the data are confirmed to be correct, the data are clicked, the payment password is input, and the funds managed on the software platform are directly transferred to the personal account of the flexible occupational personnel.

8. A system for intelligent recruitment of software platforms, the system comprising: the system comprises an enterprise PC end platform, an APP end, a platform management end and a big data platform, wherein enterprise users issue employment tasks through the enterprise PC end platform; flexible professionals fill in personal resume information through the APP terminal and register an intentional employment task; the platform management terminal preliminarily performs matching verification of the registration personnel and the employment task, and registration can be successful after matching is successful; and (4) carrying out deep matching between the registration personnel and the employment task through a big data platform, screening out the registration personnel which best meets the employment task, and generating a tripartite agreement electronic contract, wherein the recruitment agreement is reached when each party signs the electronic contract.

9. The system for intelligent recruitment of software platforms as claimed in claim 8, wherein the platform management end is connected with a real-time machine learning algorithm to perform preliminary matching between the analysis registration personnel and the recruitment task, and after the matching is successful, the flexible caretaker can register successfully.

10. The system for intelligent recruitment of software platforms of claim 9, comprising one or more features selected from the group consisting of:

(1) after the registration time is cut off, the big data platform carries out deep matching on registration personnel and the employment task, and the big data platform adopts a union of calculation results of three algorithm models, namely naive Bayes, a gradient lifting tree and a multilayer perceptron, as a final result of intelligent matching;

(2) based on a real-time processing frame Spark of a big data platform and a machine learning technology, self-optimization is carried out on the matching success rate and the user feedback;

(3) the intelligent matching of the registration personnel and the employment task is realized by adopting a SpringMVC framework, a queue function of redis and a Postgres database and combining a multi-process algorithm technology of java;

(4) the method comprises the following steps of automatically generating a three-party agreement electronic contract by adopting a digital signature technology, signing the three-party agreement electronic contract by adopting the electronic signature technology, wherein the electronic signature technology covered by the signing of the three-party agreement electronic contract comprises the following steps: the digital certificate authentication and third-party timing technology can achieve the anti-tampering purpose while ensuring the true and effective identity of each party signing the contract;

(5) the electronic contract with the three-party agreement adopts the password verification and the encryption technology in the transmission process, and integrates multiple guarantees.