CN112102133B

CN112102133B - Efficient recruitment method, device and system based on information delivery and electronic equipment

Info

Publication number: CN112102133B
Application number: CN202011275492.7A
Authority: CN
Inventors: 焦学宁
Original assignee: Shenzhen Eebochina Technology Co ltd
Current assignee: Shenzhen dianmi No. 2 Technology Co.,Ltd.
Priority date: 2020-11-16
Filing date: 2020-11-16
Publication date: 2021-02-12
Anticipated expiration: 2040-11-16
Also published as: CN112102133A

Abstract

The invention provides an efficient recruitment method, device and system based on information delivery and electronic equipment, and relates to the technical field of information management, wherein the method comprises the following steps: acquiring recruitment analysis data of a target enterprise; performing matrix analysis and prediction on the recruitment analysis data, and calculating recruitment strategy information matched with the target enterprise; and releasing the recruitment information on the third-party recruitment channel according to the recruitment strategy information. The efficient recruitment method, the device, the system and the electronic equipment based on information delivery effectively save the learning time of enterprises on various recruitment website platforms, reduce the recruitment cost, simultaneously do not need a large amount of manual operation, and further shorten the recruitment process.

Description

Efficient recruitment method, device and system based on information delivery and electronic equipment

Technical Field

The invention relates to the technical field of information management, in particular to an efficient recruitment method, device and system based on information delivery and electronic equipment.

Background

With the rapid development of internet technology, more and more enterprises choose to transfer the recruitment requirement from the traditional offline recruitment to the online recruitment of a recruitment website/platform. However, the development of the recruitment website/platform is very diversified, so that the enterprise can hardly find a proper recruitment way from the recruitment website/platform. Meanwhile, on a plurality of recruitment platforms, enterprises need to spend more and more time to learn how to develop recruitment work on a recruitment website/platform, and a large amount of manual operation time is consumed, so that the cost for acquiring talents by the enterprises in the current recruitment mode is very high.

Disclosure of Invention

In view of the above, the present invention provides an efficient recruitment method, device, system and electronic device based on information delivery, so as to alleviate the above technical problems.

In a first aspect, an embodiment of the present invention provides an efficient recruitment method based on information delivery, including: acquiring recruitment analysis data of a target enterprise, wherein the recruitment analysis data comprises basic information of the target enterprise, recruitment operation data and access state data of a third-party recruitment channel; performing matrix analysis and prediction on the recruitment analysis data, and calculating recruitment strategy information matched with the target enterprise; and releasing recruitment information on the third-party recruitment channel according to the recruitment strategy information.

Preferably, in a possible implementation manner, the step of performing matrix analysis and prediction on the recruitment analysis data and calculating recruitment strategy information matched with the target enterprise includes: performing characteristic decomposition and combination on the basic information of the target enterprise and the recruitment operation data to generate a recruitment classification entity of the target enterprise; performing statistical calculation on the recruitment classification entity in combination with the enterprise recruitment record of the third-party recruitment channel to obtain intermediate matrix data of the recruitment classification entity and the third-party recruitment channel; calculating a first mean expression solution of the recruitment classification entity to the third-party recruitment channel and a second mean expression solution of the third-party recruitment channel to the recruitment classification entity according to the intermediate matrix data; and performing matrix decomposition conversion based on the first mean expression solution and the second mean expression solution to obtain recruitment strategy information matched with the target enterprise, wherein the recruitment strategy information comprises enterprise information of the third-party recruitment channel and weight and proportion distribution of the recruitment information of different posts of the target enterprise to the third-party recruitment channel.

Preferably, in a possible implementation manner, the step of performing feature decomposition and combination on the basic information of the target enterprise and the recruitment operation data to generate the recruitment classification entity of the target enterprise includes: inputting the basic information of the target enterprise and the recruitment operation data into a pre-trained classification model, and outputting a recruitment classification entity of the target enterprise based on the classification model; the classification model is obtained based on SVM classification algorithm training.

Preferably, in a possible implementation manner, the step of placing the recruitment information on the third-party recruitment channel according to the recruitment strategy information comprises the following steps: and pushing the recruitment strategy information to a recruitment robot, and releasing the recruitment information on the third-party recruitment channel by the recruitment robot according to the recruitment strategy information.

Preferably, in a possible embodiment, the method further comprises: pulling the received resume information through the recruitment robot, and calculating the matching degree of the resume information and the recruitment information; acquiring a pre-configured interview arrangement mode, and if the interview arrangement mode is an automatic mode, generating interview information based on the matching degree and a pre-set interview template; and if the interview scheduling mode is a manual mode, saving the resume information based on the matching degree.

Preferably, in a possible embodiment, the method further comprises: responding to data input operation aiming at the recruitment analysis data, receiving basic information and recruitment operation data of the target enterprise, which are input by a user, and storing the basic information and the recruitment operation data of the target enterprise to a preset position for data updating; wherein the basic information of the target enterprise at least comprises: the business basic information of the target enterprise and the basic layout of the target enterprise; the recruitment operation data comprises at least: the historical recruitment record of the target enterprise, the recruitment time period of the target enterprise, and the recruitment result satisfaction degree of the target enterprise.

Preferably, in a possible embodiment, the method further comprises: and responding to the updating operation aiming at the third-party recruitment channel, and acquiring the access state reported by the third-party recruitment channel so as to update the access state data of the third-party recruitment channel.

In a second aspect, an embodiment of the present invention further provides an efficient recruitment device based on information delivery, including: the recruitment analysis module is used for acquiring recruitment analysis data of a target enterprise, wherein the recruitment analysis data comprises basic information of the target enterprise, recruitment operation data and access state data of a third-party recruitment channel; the analysis module is used for carrying out matrix analysis and prediction on the recruitment analysis data and calculating recruitment strategy information matched with the target enterprise; and the releasing module is used for releasing the recruitment information on the third-party recruitment channel according to the recruitment strategy information.

In a third aspect, an embodiment of the present invention further provides an efficient recruitment system based on information delivery, where the system includes an enterprise recruitment service, an operation management service, and a recruitment robot; the operation management service is configured to execute the efficient recruitment method based on information delivery according to the first aspect.

In a fourth aspect, the present invention further provides an electronic device, which includes a processor and a memory, where the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the methods of the first to second aspects.

In a fifth aspect, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the method of the first to second aspects.

The embodiment of the invention has the following beneficial effects:

the efficient recruitment method, the device, the system and the electronic equipment based on information delivery provided by the embodiment of the invention can acquire recruitment analysis data of a target enterprise, perform matrix analysis and prediction on the recruitment analysis data, and calculate recruitment strategy information matched with the target enterprise; and then the recruitment information is delivered on a third-party recruitment channel according to the recruitment strategy information, compared with the recruitment process in which enterprises release post requirements from various recruitment website platforms, the efficient recruitment method based on the information delivery provided by the embodiment of the invention effectively saves the learning time of the enterprises on the various recruitment website platforms due to the automatic calculation of the recruitment strategy information, thereby not only reducing the recruitment cost, but also avoiding a large amount of manual operations and further shortening the recruitment process.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a flowchart of an efficient recruitment method based on information delivery according to an embodiment of the present invention;

fig. 2 is a block diagram illustrating a recruitment system according to an embodiment of the present invention;

fig. 3 is a recruitment flow chart according to an embodiment of the invention;

fig. 4 is a flowchart of another efficient recruitment method based on information delivery according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of an efficient recruitment system based on information delivery according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of an efficient recruitment device based on information delivery according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

To make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

At present, due to the diversification of the development of the recruitment website/platform, enterprises can hardly find a proper recruitment mode from the recruitment website/platform. Meanwhile, on a plurality of recruitment platforms, enterprises need to spend more and more time to learn how to develop recruitment work on a recruitment website/platform, a large amount of manual operation time is consumed, talent matching is performed through manual examination, the efficiency is relatively low, and after job seekers perform recruitment assessment through the enterprises, the enterprises need to spend a large amount of time and operation to input employee information with job entries into personnel systems of the enterprises. Generally, the cost for acquiring talents through the current recruitment mode is very high, and based on this, the efficient recruitment method, device, system and electronic device based on information delivery provided by the embodiments of the present invention can effectively alleviate the technical problems.

In order to facilitate understanding of the embodiment, a detailed description is first given to an efficient recruitment method based on information delivery disclosed by the embodiment of the invention.

In a possible implementation manner, the embodiment of the invention provides an efficient recruitment method based on information delivery, and in particular, the method can be applied to a server of a recruitment system, such as a flow chart of the efficient recruitment method based on information delivery shown in fig. 1, and the method includes the following steps:

step S102, acquiring recruitment analysis data of a target enterprise;

the recruitment analysis data comprises basic information of a target enterprise, recruitment operation data and access state data of a third-party recruitment channel;

in practical use, the recruitment analysis data is data pre-stored in a server database, and is generally sorted and entered by a person in charge of recruitment of an enterprise, so as to facilitate the release of recruitment information.

Further, the third-party recruitment channel usually refers to a third-party human resource company cooperating with the enterprise, and the number of the third-party human resource companies is usually multiple, so as to provide manpower and services for the target enterprise to meet the talent demand of the target enterprise.

Step S104, performing matrix analysis and prediction on the recruitment analysis data, and calculating recruitment strategy information matched with the target enterprise;

and S106, releasing the recruitment information on the third-party recruitment channel according to the recruitment strategy information.

Specifically, in the embodiment of the invention, the difference from the existing recruitment website/platform is mainly that the matrix analysis and prediction can be performed on the recruitment analysis data through the process of the step S104, so as to calculate the recruitment strategy information matched with the target enterprise without requiring the user to spend more time to learn how to perform the recruitment work, and further, after the recruitment strategy information conforming to the target enterprise is calculated, the step S106 can be further executed, and the recruitment information is released on a third-party recruitment channel according to the recruitment strategy information, so that a large amount of manual operations can be saved through the processes of the step S104 and the step S106.

The efficient recruitment method based on information delivery provided by the embodiment of the invention can acquire recruitment analysis data of a target enterprise, perform matrix analysis and prediction on the recruitment analysis data, and calculate recruitment strategy information matched with the target enterprise; and then the recruitment information is delivered on a third-party recruitment channel according to the recruitment strategy information, compared with the recruitment process in which enterprises release post requirements from various recruitment website platforms, the efficient recruitment method based on the information delivery provided by the embodiment of the invention effectively saves the learning time of the enterprises on the various recruitment website platforms due to the automatic calculation of the recruitment strategy information, thereby not only reducing the recruitment cost, but also avoiding a large amount of manual operations and further shortening the recruitment process.

In actual use, a target enterprise is generally configured with a corresponding recruitment system to facilitate talent recruitment, and the recruitment system generally comprises a personnel SaaS (Software-as-a-Service) platform and an operation background;

the personnel SaaS platform is a platform for providing software service for enterprises through a network, and under the platform, recruitment requirements of the enterprises can be solved more simply and efficiently by means of an intelligent recruitment robot, and personnel in charge of recruitment of the enterprises can log in the personnel SaaS platform to perform personnel recruitment management work in the identity of a legal user.

Further, the operation background is generally responsible for the operation of recruitment, such as docking with a third-party recruitment channel, and the like, so that the basic information and recruitment operation data of the target enterprise, which are included in the recruitment analysis data, are generally obtained from the personnel SaaS platform, and the access state data of the third-party recruitment channel is obtained from the operation background.

For convenience of understanding, fig. 2 shows a structural block diagram of a recruitment system, which includes, as shown in fig. 2, a personnel SaaS platform and an operation background, wherein the personnel SaaS platform is composed of an enterprise recruitment service and a recruitment robot, and the operation background includes an operation management service.

Specifically, the personnel SaaS platform includes:

the account center module is responsible for enterprise tenant account management and login and registration related services;

the enterprise recruitment center module loads recruitment requirements and recruitment schedule display and management services of enterprises;

the recruitment position management module is responsible for position management business in the recruitment requirement of the enterprise;

the enterprise talent base center module is responsible for managing job seekers received by the recruitment robot in the recruitment process of the enterprise, and the job seekers comprise basic information of the job seekers, talent resume bases and the like;

the interview arrangement management module is responsible for the interview arrangement management module after resume screening in the recruitment process of the enterprise;

the application recording management module is responsible for the application interview recording management in the enterprise recruitment process;

and the recruitment Offer management module is responsible for Offer management after the employment interview in the enterprise recruitment process.

Further, the recruitment robot in the personnel SaaS platform comprises a recruitment assistant robot and an enrollment assistant robot.

Further, the operation management service of the operation background includes:

the enterprise account tenant management module is responsible for enterprise information management, and provides enterprise characteristic data, recruitment data and the like, such as the basic information of the target enterprise.

The third-party recruitment channel access management module is responsible for managing external third-party recruitment channels, and the access state data of the third-party recruitment channels can be acquired through the module, so that the number and basic information of the third-party recruitment channels can be acquired, and whether the current third-party recruitment channels are available or not can be further acquired.

The enterprise recruitment statistics management module is responsible for the operation and management of the recruitment service data of the client (enterprise);

the recruitment operation real-time analysis module is responsible for data processing and real-time analysis and provides reference analysis result data for the recruitment strategy; such as providing recruitment operation data, etc.

The recruitment operation decision analysis and calculation service module is responsible for collecting reported information, such as basic information of a target enterprise, historical recruitment records, recruitment tasks, application result data, third-party recruitment channel recruitment website platform data and the like, performing recruitment decision analysis and calculation by using a response algorithm according to the reported data, and pushing an analysis result (an optimization matching and recruitment strategy) to the recruitment optimization matching management module, wherein the step S104 in the diagram 1 can be executed in the module.

And the recruitment optimization matching management module is responsible for providing content optimization service of the recruitment position and business communication service with the recruitment robot, such as the push of recruitment strategy information, decision information and the like.

The recruitment robot generally refers to an automated software tool using an RPA (robot Process Automation) technology, and optimization is performed by using the RPA technology, so that a large amount of manual operations can be replaced, job seekers can be intelligently and effectively matched, and recruitment cost is reduced.

Further, based on the recruitment system shown in fig. 2, fig. 3 also shows a recruitment flow chart, specifically, the whole recruitment flow is divided into two parts, the first part is a flow step around enterprise recruitment services, and the second part is a data analysis decision flow step around enterprise recruitment high-efficiency matchers, wherein the flow of the first part, namely, an implementation flow around enterprise recruitment services, includes the following processes:

step 1: a person in charge of recruitment of an enterprise or an enterprise administrator (such as an HR user) logs in through an account center module of a personnel SaaS platform according to a received recruitment requirement;

step 2: an enterprise manager (such as an HR user) logs in and enters an enterprise recruitment center module, the recruitment requirement is combed, and the required job duty content of the recruitment position is arranged;

step 3.1: an enterprise manager (such as an HR user) inputs information of a recruitment position, job responsibilities and the like to a recruitment position management module;

step 3.2: an enterprise manager (such as an HR user) pulls the optimal update of the recruitment position in the recruitment position management module through the recruitment optimal matching management module;

step 4.1: an enterprise manager (such as an HR user) starts a recruitment robot and starts a recruitment service process; specifically, the recruitment robot is a recruitment assistant robot.

Step 4.2: the recruitment robot starts a recruitment workflow and enters self-inspection, receives recruitment strategy information of a recruitment optimization matching management module through a link, and starts the step 5;

step 5.1: the recruitment robot starts to release the recruitment information to a third-party recruitment channel according to the recruitment strategy information;

step 5.2: the recruitment robot pulls and receives the resume delivered by the applicant, and calculates the resume matching degree of the applicant by combining the recruitment operation decision analysis and calculation service module and the recruitment optimization matching management module;

step 5.3: the recruitment robot archives the resume of the applicant to the central module of the enterprise talent library, and the archived information at least comprises the following information: talent resume, matching level, etc.;

step 6: the recruitment robot arranges options according to interviews configured by an enterprise administrator (e.g., HR user): automatic mode, manual mode:

(1) if the HR user configures the automatic mode, the recruitment robot matches the corresponding applicant and arranges an interview;

(2) if the manual mode is configured for the HR user, the HR user needs to manually inform the applicant and arrange an interview;

and 7: an enterprise administrator (such as HR users) or an interviewer under an enterprise finishes an interview arrangement process, determines an interview state, and inputs the result into an application record management module;

and 8: an enterprise manager (such as an HR user) determines whether to execute the application according to the application recording condition and the communication result;

and step 9: the applicant determines to receive the OFFER and enter the job, and the assistant robot accesses the personnel system through the entry;

further, the recruitment process in fig. 3 further includes a second part of the process flow, as shown in fig. 3, which includes the following processes:

scheme 1: the enterprise account tenant management module and the enterprise recruitment statistical management module can report recruitment operation data of the enterprise to the recruitment operation decision analysis and calculation service module regularly every day;

the recruitment operation data of the enterprise comprises but is not limited to the following information: (1) basic information of the enterprise: basic information of enterprises and industry and commerce (industry, scale and operation range), basic layout of enterprises (departments, product lines and the like); (2) historical recruitment recording information of the enterprise: the recruitment information published historically, the applicant profiles, the interview results, the application result data, the process records, the scoring of the application positions, and the like.

And (2) a flow scheme: the third-party recruitment channel access management module periodically reports access state data of an external third-party recruitment channel to the recruitment operation decision analysis and calculation service module;

and (3) a flow path: when an enterprise administrator starts the robot to start recruitment work and in the recruitment process, the recruitment assistant robot reports data of a recruitment task and a recruitment process to a recruitment operation decision analysis and calculation service module;

and (4) a flow chart: the application record management module is used for reporting the application record information to the recruitment operation decision analysis and calculation service module according to the final determined result of whether to use or not and the application operation decision;

and (5) a flow chart: and the recruitment operation decision analysis and calculation service module pushes the analysis and calculation result to the recruitment optimization matching management module in real time.

In the above flow 5, the real-time analysis and calculation process of the recruitment operation decision analysis and calculation service module is executed according to the efficient recruitment method based on information delivery in the embodiment of the present invention, that is, the recruitment analysis data in the step S102 can be obtained, then matrix analysis and prediction are performed, the recruitment strategy information matched by the target enterprise is calculated, and then the delivery of the recruitment information is performed on a third-party recruitment channel.

Moreover, based on the recruitment system shown in fig. 2 and the recruitment process shown in fig. 3, when the efficient recruitment method based on information delivery provided by the embodiment of the invention is executed, recruitment robots, such as a recruitment assistant robot and a job entry assistant robot, can be used to solve the recruitment requirement of an enterprise more simply and efficiently.

Further, considering that the recruitment operation data in the recruitment analysis data and the access state data of the third-party recruitment channel are usually continuously updated and changed, the efficient recruitment method based on information delivery provided by the embodiment of the present invention further includes an update process of the data, specifically, the update process includes:

(1) responding to data input operation aiming at the recruitment analysis data, receiving basic information and recruitment operation data of the target enterprise, which are input by a user, and storing the basic information and the recruitment operation data of the target enterprise to a preset position for data updating;

wherein, the user is usually a person responsible for recruitment of an enterprise, and the basic information of the target enterprise at least includes: the business basic information of the target enterprise and the basic layout of the target enterprise; the basic information of the target enterprise includes the industry, scale, operation range, etc. of the target enterprise, and the basic layout of the target enterprise is department setting, product line, etc.

Further, the recruitment operation data at least comprises: the historical recruitment records of the target enterprise, the recruitment time period of the target enterprise, and the recruitment result satisfaction degree of the target enterprise. The historical recruitment records of the target enterprise generally comprise historically issued recruitment information, applicant profiles, interview process data, application result data, to-be-recruited employee backgrounds, assessment of the to-be-recruited employees and the like, and the data are usually recorded by the employees of the enterprise responsible for recruitment so as to be acquired periodically, wherein the assessment records of the to-be-recruited employees can be acquired from an enterprise personnel platform and the like. The update of the data can be realized by the enterprise recruitment service of the personnel SaaS platform in fig. 2.

(2) And responding to the updating operation aiming at the third-party recruitment channel, and acquiring the access state reported by the third-party recruitment channel so as to update the access state data of the third-party recruitment channel.

The process of updating the access state data of the third-party recruitment channel is generally implemented in the operation background in fig. 2, and specifically, the process can be implemented in an access management module of the third-party recruitment channel of the operation management service, for example, when the access state reported by one third-party recruitment channel is unavailable, the access state data of the third-party recruitment channel is marked as unavailable, so as to update the access state data of the third-party recruitment channel.

Further, based on the updated recruitment analysis data, the efficient recruitment method based on information delivery provided by the embodiment of the invention can also calculate the recruitment strategy information in real time based on the latest recruitment analysis data, and specifically, based on the recruitment system shown in fig. 2 and the recruitment flow shown in fig. 3 on the basis of fig. 1, the embodiment of the invention further provides another efficient recruitment method based on information delivery so as to explain the calculation process of the recruitment strategy information. Fig. 4 shows a flow chart of another efficient recruitment method based on information delivery, which includes the following steps:

step S402, acquiring recruitment analysis data of a target enterprise;

further, the basic information of the target enterprise includes: the recruitment operation data at least comprises the basic information of the target enterprise and the basic layout of the target enterprise: historical recruitment records of the target enterprise, the recruitment time period of the target enterprise, the recruitment result satisfaction degree of the target enterprise and the like.

Step S404, performing characteristic decomposition and combination on the basic information and the recruitment operation data of the target enterprise to generate a recruitment classification entity of the target enterprise;

specifically, in the step, the recruitment information of the target enterprise, the recruitment time period of the target enterprise, and the satisfaction degree of the recruitment result of the target enterprise are generally subjected to feature decomposition and recombination to generate individual classified entities, namely the recruitment classified entities in the embodiment of the invention, and then the following steps are continuously executed to facilitate a matrix decomposition algorithm according to the recruitment classified entities and the third-party recruitment channel, so that a recommendation decision of the third-party recruitment channel is obtained, rapid prediction is realized, and a more accurate recruitment and delivery effect is achieved.

Further, in the step S404, a pre-trained model may be used for implementation, wherein in the embodiment of the present invention, a classification model trained based on an SVM (Support Vector machine) classification algorithm is used, and therefore, in the step S404, the basic information and the recruitment operation data of the target enterprise may be input into the pre-trained classification model, and the recruitment classification entity of the target enterprise is output based on the classification model.

The SVM classification algorithm belongs to a binary classification algorithm and can support linear and nonlinear classification, so that in the embodiment of the invention, the recruitment classification entity of the current target enterprise can be predicted and evaluated by using the classification model. For the sake of understanding, table 1 shows a training table of a classification model, which includes training contents and classification results, and when the classification model is trained, the training can be performed based on different training contents so as to obtain the classification result corresponding to the training contents, i.e., the recruitment of the classification entity.

Table 1:

sequence of	Content of training	Classification result
			1	XXX is a SAAS software service provider, the employee scale is 200-300, Python development is recruited, and an evaluation rule system is a capital depth P8 and requires the post to arrive within 2 weeks.	E_001
...	......	E_00X
				XXX is a SAAS software service provider, the employee scale is 200-300, Python development is recruited, and the evaluation rule system is the capital P7 and requires to arrive on duty within 3 days.	E_002
n	......	E_00N

Step S406, performing statistical calculation on the recruitment classification entity in combination with the enterprise recruitment record of the third-party recruitment channel to obtain intermediate matrix data of the recruitment classification entity and the third-party recruitment channel;

specifically, the step is a process of statistical calculation, specifically, the enterprise recruitment classification entity classified in the step is subjected to statistical calculation according to an actual enterprise recruitment record to obtain intermediate matrix data, where table 2 below shows a data table of the intermediate matrix data, as shown in table 2, where the numbers in table 2 below are enterprise recruitment records, and the enterprise recruitment records can be obtained from the recruitment operation data.

Table 2:

recruitment classification entity	Recruitment channel a	Recruitment channel b	Recruitment channel c	Recruitment channel d	Recruitment channele	Recruitment channel f	Recruitment channel x
								E_00x1	10	8	7	5	5	6	x1
E_00x2	8	10	7	5	6	6	x2
								E_00x3	6	5	10	5	7	5	x3
E_00x4	8	0	9	9	7	5	x4
								E_00x5	10	1	2	10	3	10	x5
E_00x6	...	...	...	...	...	...	...
								E_N	...	...	...	...	...	...	...

Wherein, the above table 2 shows the implementation of a limited number of recruitment classification entities and an effective number of recruitment channels, and each element in the intermediate matrix data is the number in the above table 1.

Step S408, calculating a first mean expression solution of the recruitment classification entity to a third-party recruitment channel and a second mean expression solution of the third-party recruitment channel to the recruitment classification entity according to the intermediate matrix data;

specifically, taking the example of table 2 including 5 recruitment classification entities and 6 third-party recruitment channels as above, the first and second mean expression solutions generally refer to the mean value of each row and each column of the intermediate matrix data in table 2, as shown in table 3:

table 3:

the last column in table 3 is a first mean performance solution, which is obtained by performing average calculation on data of the enterprise recruitment records in each row, and therefore, is also referred to as mean performance of the recruitment classification entity on the third-party recruitment channel. The second mean performance solution of the last behavior in table 3 is obtained by performing average calculation on the data of the enterprise recruitment records in each column, and therefore is also referred to as mean performance of the third-party recruitment channel on the recruitment classification entity. After the first average expression solution and the second average expression solution are obtained, the following steps can be continuously executed to further obtain the recruitment strategy information.

Step S410, performing matrix decomposition conversion based on the first mean expression solution and the second mean expression solution to obtain recruitment strategy information matched with the target enterprise;

the recruitment strategy information comprises enterprise information of a third-party recruitment channel and weight and proportion distribution of recruitment information of different posts of the target enterprise to the third-party recruitment channel.

In the specific implementation, in this step, the matrix decomposition may use an MF matrix decomposition algorithm, and obtain a final matching matrix based on the first mean expression solution and the second mean expression solution obtained in table 2, so as to obtain the recruitment policy information based on the matching matrix. Specifically, table 4 shows a data table of a matching matrix.

Table 4:

the matrix shown in table 4 is a matching matrix obtained after conversion is performed by using the MF matrix decomposition algorithm, and based on the matching matrix, the weight and proportion distribution of the recruitment information of the target enterprise at different posts in each third-party recruitment channel can be obtained, that is, the recruitment strategy information matched with the target enterprise is obtained. After the recruitment strategy information is obtained, the following step S312 can be continuously executed to release the recruitment information on the third-party recruitment channel according to the recruitment strategy information.

And step S412, the recruitment strategy information is pushed to the recruitment robot, and the recruitment information is released on a third-party recruitment channel through the recruitment robot according to the recruitment strategy information.

When the recruitment information is put in the mode in practical use, the received resume information can be further pulled by the recruitment robot, and the matching degree of the resume information and the recruitment information is calculated so as to screen corresponding recruiters; further, a pre-configured interview arrangement mode can be obtained, if the interview arrangement mode is the automatic mode, interview information is generated based on the matching degree and a pre-set interview template and is sent to the candidate for interview communication; if the interview arrangement mode is the manual mode, the resume information is stored based on the matching degree, so that whether interview communication is further conducted or not is determined by personnel in charge of recruitment of the enterprise, a specific implementation mode can be set according to actual use conditions, and the embodiment of the invention is not limited to this.

Further, for the convenience of understanding, the embodiment of the invention also provides an efficient recruitment system based on information delivery, which comprises an enterprise recruitment service, an operation management service and a recruitment robot; the operation management service is configured to execute the efficient recruitment method based on information delivery as described in fig. 1 or fig. 4.

Specifically, the enterprise recruitment service can be implemented by referring to the recruitment system shown in fig. 2, for example, including an account center module, an enterprise recruitment center module, a recruitment position management module, an enterprise talent base center module, an interview arrangement management module, an application record management module, a recruitment Offer management module, and the like;

the operation management service can be implemented based on the operation background shown in fig. 2, for example, the operation management service includes an enterprise account tenant management module, a third-party recruitment channel access management module, an enterprise recruitment statistics management module, a recruitment operation real-time analysis module, a recruitment operation decision analysis and calculation service module, a recruitment optimization matching management module, and the like.

Further, the recruitment robot may be implemented as an automated software tool based on RPA technology, and further include a recruitment assistant robot and an enrollment assistant robot, among others.

For the sake of understanding, fig. 5 shows a structural diagram of an efficient recruitment system based on information delivery, and illustrates an operation process of the efficient recruitment system based on information delivery, as shown in fig. 5, which includes the following processes:

s1: a recruitment analysis data acquisition process;

specifically, the process can be regarded as a process for acquiring data by an operation management service, and in order to facilitate storage of recruitment analysis data, the efficient recruitment system based on information delivery further includes a data receiving service component, a data queue management component, a data cleaning service component, and a data feature storage component, so as to process and store various data included in the recruitment analysis data.

The recruitment analysis data comprises basic information of the target enterprise, recruitment operation data and access state data of a third-party recruitment channel. Therefore, the process includes the processes of reporting the basic information and the recruitment operation data of the target enterprise by the enterprise account tenant management module and the enterprise recruitment statistics management module, and the like, and includes the following steps: and reporting the data of the historical recruitment records, the recruitment time period, the recruitment result satisfaction degree and the like. The data are received by the data receiving service component, then pass through the data queue management component and the data cleaning service component, and finally are stored in the data characteristic storage component and stored in the form of characteristic data.

Further, the process also includes a process that the third-party recruitment channel access management module reports access state data of the third-party recruitment channel, and business data in the recruitment process reported by the recruitment robot.

S2: a recruitment strategy information calculation process;

specifically, the process may be implemented by a plurality of computing units, as shown in fig. 5, the computing unit 1 may execute the process of step S404 in fig. 4 to generate a recruitment classification entity; the calculating unit 2 can perform the statistical process of step S406 in fig. 4 to perform statistical calculation of the recruitment classification entity; the calculating unit 3 further executes the processes of steps S408 and S410 in fig. 4, performs matrix analysis and prediction, further obtains the recruitment strategy information, stores the recruitment strategy information in a calculation result base, outputs the recruitment strategy information to a recruitment optimization matching management module of the operation management service through a matching optimization support service component for matching optimization, and then outputs enterprise information of a third-party recruitment channel based on the recruitment strategy information, and weight and proportion distribution of different post recruitment information released in the third-party recruitment channel.

S3: a process of releasing the recruitment information;

the recruitment optimization matching management module is in butt joint with the recruitment robot service to realize the recruitment service, such as pushing recruitment strategy information, decision information and the like to a third-party recruitment channel to release the recruitment information.

In summary, the efficient recruitment system based on information delivery provided by the embodiment of the invention has the following beneficial effects:

(1) the learning time cost of enterprises on various recruitment website platforms is saved;

(2) replacing the operation flow of the recruitment requirement of the enterprise by using the recruitment robot;

(3) the enterprise can intelligently analyze operation result data from the distribution data of job seekers on a recruitment website/platform and enterprise characteristic data in real time through real-time analysis in the whole recruitment requirement process, find out an optimal recruitment strategy, release recruitment requirements on a recruitment website with high profit in a targeted manner, and help the enterprise find out matched key talents at the first time and at a first speed;

(4) the enterprise uses the assistant robot of job entry to directly pull archives information, and the propelling movement is to personnel's system/platform, need not the enterprise again manual operation and carries out archives and type, has effectively reduced manual operation cost.

Further, on the basis of the above embodiments, the embodiment of the present invention further provides an efficient recruitment device based on information delivery, and as shown in fig. 6, a schematic structural diagram of the efficient recruitment device based on information delivery includes:

the acquisition module 60 is configured to acquire recruitment analysis data of a target enterprise, where the recruitment analysis data includes basic information of the target enterprise, recruitment operation data, and access state data of a third-party recruitment channel;

the analysis module 62 is configured to perform matrix analysis and prediction on the recruitment analysis data, and calculate recruitment strategy information matched with the target enterprise;

and the releasing module 64 is used for releasing the recruitment information on the third-party recruitment channel according to the recruitment strategy information.

The efficient recruitment device based on the information delivery provided by the embodiment of the invention has the same technical characteristics as the efficient recruitment method based on the information delivery provided by the embodiment, so that the same technical problems can be solved, and the same technical effects can be achieved.

Further, an embodiment of the present invention further provides an electronic device, where the electronic device includes a processor and a memory, where the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the efficient recruitment method based on information delivery.

Further, embodiments of the present invention also provide a computer-readable storage medium storing computer-executable instructions that, when invoked and executed by a processor, cause the processor to implement the above-described efficient recruitment method based on information delivery.

Further, an embodiment of the present invention further provides a structural schematic diagram of an electronic device, as shown in fig. 7, which is the structural schematic diagram of the electronic device, wherein the electronic device includes a processor 71 and a memory 70, the memory 70 stores computer-executable instructions capable of being executed by the processor 71, and the processor 71 executes the computer-executable instructions to implement the above-mentioned efficient recruitment method based on information delivery.

In the embodiment shown in fig. 7, the electronic device further comprises a bus 72 and a communication interface 73, wherein the processor 71, the communication interface 73 and the memory 70 are connected by the bus 72.

The Memory 70 may include a high-speed Random Access Memory (RAM) and may also include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The communication connection between the network element of the system and at least one other network element is realized through at least one communication interface 73 (which may be wired or wireless), and the internet, a wide area network, a local network, a metropolitan area network, and the like can be used. The bus 72 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 72 may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 7, but this does not indicate only one bus or one type of bus.

The processor 71 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 71. The Processor 71 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory, and the processor 71 reads the information in the memory and, in combination with hardware thereof, implements the efficient recruitment method based on information delivery according to the foregoing embodiments.

The efficient recruitment method, the efficient recruitment device, the efficient recruitment system and the computer program product of the electronic device, which are provided by the embodiments of the present invention, include a computer-readable storage medium storing program codes, instructions included in the program codes may be used to execute the method described in the foregoing method embodiments, and specific implementations of the instructions may refer to the method embodiments and are not described herein again.

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the system and the apparatus described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In addition, in the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meaning of the above terms in the present invention can be understood in specific cases for those skilled in the art.

The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.

Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that the following embodiments are merely illustrative of the present invention, and not restrictive, and the scope of the present invention is not limited thereto: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An efficient recruitment method based on information delivery is characterized by comprising the following steps:

acquiring recruitment analysis data of a target enterprise, wherein the recruitment analysis data comprises basic information of the target enterprise, recruitment operation data and access state data of a third-party recruitment channel;

performing matrix analysis and prediction on the recruitment analysis data, and calculating recruitment strategy information matched with the target enterprise;

placing recruitment information on the third-party recruitment channel according to the recruitment strategy information;

the step of performing matrix analysis and prediction on the recruitment analysis data and calculating the recruitment strategy information matched with the target enterprise comprises the following steps of:

performing characteristic decomposition and combination on the basic information of the target enterprise and the recruitment operation data to generate a recruitment classification entity of the target enterprise;

performing statistical calculation on the recruitment classification entity in combination with the enterprise recruitment record of the third-party recruitment channel to obtain intermediate matrix data of the recruitment classification entity and the third-party recruitment channel;

calculating a first mean expression solution of the recruitment classification entity to the third-party recruitment channel and a second mean expression solution of the third-party recruitment channel to the recruitment classification entity according to the intermediate matrix data;

and performing matrix decomposition conversion based on the first mean expression solution and the second mean expression solution to obtain recruitment strategy information matched with the target enterprise, wherein the recruitment strategy information comprises enterprise information of the third-party recruitment channel and weight and proportion distribution of the recruitment information of different posts of the target enterprise to the third-party recruitment channel.

2. The method of claim 1, wherein the step of performing feature decomposition and combination on the basic information of the target enterprise and the recruitment operation data to generate the recruitment classification entity of the target enterprise comprises:

inputting the basic information of the target enterprise and the recruitment operation data into a pre-trained classification model, and outputting a recruitment classification entity of the target enterprise based on the classification model;

the classification model is obtained based on SVM classification algorithm training.

3. The method of claim 1, wherein the step of placing the recruitment information on the third-party recruitment channel according to the recruitment strategy information comprises:

and pushing the recruitment strategy information to a recruitment robot, and releasing the recruitment information on the third-party recruitment channel by the recruitment robot according to the recruitment strategy information.

4. The method of claim 3, further comprising:

pulling the received resume information through the recruitment robot, and calculating the matching degree of the resume information and the recruitment information;

acquiring a pre-configured interview arrangement mode, and if the interview arrangement mode is an automatic mode, generating interview information based on the matching degree and a pre-set interview template; and if the interview scheduling mode is a manual mode, saving the resume information based on the matching degree.

5. The method of claim 1, further comprising:

responding to data input operation aiming at the recruitment analysis data, receiving basic information and recruitment operation data of the target enterprise, which are input by a user, and storing the basic information and the recruitment operation data of the target enterprise to a preset position for data updating;

wherein the basic information of the target enterprise at least comprises: the business basic information of the target enterprise and the basic layout of the target enterprise;

the recruitment operation data comprises at least: the historical recruitment record of the target enterprise, the recruitment time period of the target enterprise, and the recruitment result satisfaction degree of the target enterprise.

6. The method of claim 1, further comprising:

and responding to the updating operation aiming at the third-party recruitment channel, and acquiring the access state reported by the third-party recruitment channel so as to update the access state data of the third-party recruitment channel.

7. An efficient recruitment device based on information delivery, comprising:

the recruitment analysis module is used for acquiring recruitment analysis data of a target enterprise, wherein the recruitment analysis data comprises basic information of the target enterprise, recruitment operation data and access state data of a third-party recruitment channel;

the analysis module is used for carrying out matrix analysis and prediction on the recruitment analysis data and calculating recruitment strategy information matched with the target enterprise;

the releasing module is used for releasing the recruitment information on the third-party recruitment channel according to the recruitment strategy information;

wherein the analysis module is to:

8. An efficient recruitment system based on information delivery is characterized by comprising an enterprise recruitment service, an operation management service and a recruitment robot;

the operation management service is used for executing the efficient recruitment method based on the information delivery in any one of the claims 1-6.

9. An electronic device, comprising a processor and a memory, the memory storing computer-executable instructions executable by the processor, the processor executing the computer-executable instructions to implement the method of any of claims 1 to 6.

10. A computer-readable storage medium having computer-executable instructions stored thereon which, when invoked and executed by a processor, cause the processor to implement the method of any of claims 1 to 6.