WO2019085463A1 - Department demand recommendation method, application server, and computer-readable storage medium - Google Patents

Abstract

A department demand recommendation method, an application server, and a computer-readable storage medium. The method comprises: acquiring a department list and resume information of an engineer, the department list comprising a plurality of optional departments (S301); acquiring a score of the matching degree between the resume information and each of the plurality of optional departments (S302); calculate a service age score of each optional department (S303); calculate a review speed score of each optional department (S304); calculate a budget score of each optional department (S305); and sorting the plurality of optional departments by means of the integration of the matching degree score, the service age score, the review speed score and the budget score, so as to determine a department better matching the engineer to be recommended (S306). The application server and the department demand recommendation method enable a supplier to choose the most appropriate department for an engineer, so that an integration period of the engineer entering a new department can be shortened and the satisfaction and working stability of the engineer can also be improved.

Description

Recommended method for departmental requirements, application server, and computer readable storage medium

Priority claim

This application claims the priority of the Chinese patent application filed on November 1, 2017, the Chinese Patent Office, the application number is 201711059335.0, and the invention name is "recommended method of departmental requirements, application server and computer readable storage medium". This is incorporated herein by reference.

Technical field

The present application relates to the field of communications technologies, and in particular, to a method, a server, and a computer readable storage medium.

Background technique

At present, the human resources outsourcing market has broad prospects for development. Talent suppliers need to transfer different types and levels of engineer resources to the enterprise departments with market needs in the market to meet market demand. For middle and senior outsourcing service engineers, their employment scope is relatively fixed and employment requirements are relatively high. . In order to improve the satisfaction of middle and senior outsourcing service engineers in new positions, shorten the integration period in new departments, and improve the stability of work, suppliers need to find the most suitable positions for the middle and senior outsourcing service engineers. Today's suppliers face a large number of enterprise departments and high-demand mid- and high-end outsourcing service engineers. When pairing engineers, they can only pay attention to several key information without carefully understanding the overall needs of each engineer and each department. The overall situation of the post. Therefore, the engineer will be dissatisfied with the department's position, and the enterprise department will be dissatisfied with the engineer. There is a need for a method of recommending a demand department to address the above issues.

Summary of the invention

In view of this, the present application proposes a recommendation method and an application server for departmental requirements, so that the supplier can select the most suitable department for the engineer, shorten the integration period of the engineer into the new department, and improve the satisfaction and work of the engineer. Stability.

First, in order to achieve the above object, the present application provides an application server, where the application server includes a memory and a processor, and the memory stores a recommendation program of a department requirement that can be run on the processor, where the department needs The recommended procedure is implemented by the processor to implement the following steps:

Obtaining a list of departments and resumes of engineers, the list of departments including a plurality of optional departments;

Performing a matching degree calculation with the plurality of optional departments according to the resume data to obtain a matching score of the resume material and each optional department;

Obtaining an average service age of the plurality of selectable departments, and calculating a service age score for each optional department;

Obtaining an average review time of the plurality of selectable departments, and calculating an audit speed score of each optional department;

Obtaining a departmental budget for the plurality of selectable departments, and calculating a budget score for each of the selectable departments based on a departmental budget of each of the selectable departments and a salary requirement of the engineer;

And synthesizing the plurality of optional departments by the matching degree score, the service age score, the audit speed score, and the budget score, and determining a preferred department corresponding to the engineer to be recommended.

In addition, in order to achieve the above object, the present application further provides a recommendation method for department requirements, and the method is applied to an application server, and the method includes:

Obtaining a list of departments and resumes of engineers, the list of departments including a plurality of optional departments;

Performing a matching degree calculation with the plurality of optional departments according to the resume data to obtain a matching score of the resume material and each optional department;

Obtaining an average service age of the plurality of selectable departments, and calculating a service age score for each optional department;

Obtaining an average review time of the plurality of selectable departments, and calculating an audit speed score of each optional department;

Obtaining a departmental budget for the plurality of selectable departments, and calculating a budget score for each of the selectable departments according to a departmental budget of each of the selectable departments and a salary requirement of the engineer; and

And synthesizing the plurality of optional departments by the matching degree score, the service age score, the audit speed score, and the budget score, and determining a preferred department corresponding to the engineer to be recommended.

Further, in order to achieve the above object, the present application further provides a computer readable storage medium storing a recommendation program required by a department, and the recommendation program required by the department may be executed by at least one processor. The steps of the recommended method for causing the at least one processor to perform the departmental requirements as described above.

Compared with the prior art, the application server, the recommended method for department requirements, and the computer readable storage medium proposed by the present application first obtain a department list and an engineer's resume data, and the department list includes a plurality of optional departments; And performing, according to the resume data, a matching degree calculation with the plurality of optional departments to obtain a matching degree score of the resume material and each optional department; and then obtaining an average of the plurality of optional departments Service age, calculating a service age score for each optional department; then, obtaining an average review time of the plurality of selectable departments, calculating an audit speed score for each optional department; further obtaining the plurality The departmental budget of the optional department, calculating the budget score of each optional department according to the department budget of each optional department and the salary requirement of the engineer; finally, combining the matching score, the service age score, The audit speed score and the budget score are sorted to the plurality of selectable departments, and a preferred department corresponding to the engineer to be recommended is determined. In this way, it is possible to avoid the fact that the overall needs of each engineer and the overall situation of each department post are not carefully understood in the prior art, which causes the engineer to be dissatisfied with the department position, and the disadvantages of the enterprise department being dissatisfied with the engineer can enable the supplier to The selection of the most suitable department by the engineer shortens the integration period of the engineer into the new department, and also improves the satisfaction of the engineer and the stability of the work.

DRAWINGS

1 is a schematic diagram of an optional hardware architecture of an application server of the present application;

2 is a schematic diagram of a program module of a first embodiment of a recommendation procedure required by the department of the present application;

3 is a flowchart of a first embodiment of a method for recommending a department requirement of the present application;

4 is a flow chart of a second embodiment of a recommendation method required by the department of the present application.

Reference mark:

application server 1 Memory 11 processor 12 Network Interface 13 Recommended procedures for departmental needs 200 Acquisition module 201 Matching module 202 Calculation module 203 Department selection module 204

The implementation, functional features and advantages of the present application will be further described with reference to the accompanying drawings.

Detailed ways

In order to make the objects, technical solutions, and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

It should be noted that the descriptions of "first", "second" and the like in the present application are for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. . Thus, features defining "first" or "second" may include at least one of the features, either explicitly or implicitly. In addition, the technical solutions between the various embodiments may be combined with each other, but must be based on the realization of those skilled in the art, and when the combination of the technical solutions is contradictory or impossible to implement, it should be considered that the combination of the technical solutions does not exist. Nor is it within the scope of protection required by this application.

Referring to FIG. 1, it is a schematic diagram of an optional hardware architecture of the application server 1.

The application server 1 may be a computing device such as a rack server, a blade server, a tower server, or a rack server. The application server 1 may be a stand-alone server or a server cluster composed of multiple servers.

In this embodiment, the application server 1 may include, but is not limited to, the memory 11, the processor 12, and the network interface 13 being communicably connected to each other through a system bus.

The application server 1 connects to the network through the network interface 13 to obtain information. The network may be an intranet, an Internet, a Global System of Mobile communication (GSM), a Wideband Code Division Multiple Access (WCDMA), a 4G network, or a 5G network. Wireless or wired networks such as networks, Bluetooth, Wi-Fi, and call networks.

It is pointed out that Figure 1 only shows the application server 1 with components 11-13, but it should be understood that not all illustrated components may be implemented, and more or fewer components may be implemented instead.

The memory 11 includes at least one type of readable storage medium including a flash memory, a hard disk, a multimedia card, a card type memory (eg, SD or DX memory, etc.), and a random access memory (RAM). , static random access memory (SRAM), read only memory (ROM), electrically erasable programmable read only memory (EEPROM), programmable read only memory (PROM), magnetic memory, magnetic disk, optical disk, and the like. In some embodiments, the memory 11 may be an internal storage unit of the application server 1, such as a hard disk or memory of the application server 1. In other embodiments, the memory 11 may also be an external storage device of the application server 1, such as a plug-in hard disk equipped with the application server 1, a smart memory card (SMC), and a secure digital ( Secure Digital, SD) cards, flash cards, etc. Of course, the memory 11 can also include both the internal storage unit of the application server 1 and its external storage device. In this embodiment, the memory 11 is generally used to store an operating system installed in the application server 1 and various types of application software, such as program code of the recommendation program 200 required by the department. Further, the memory 11 can also be used to temporarily store various types of data that have been output or are to be output.

The processor 12 may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data processing chip in some embodiments. The processor 12 is typically used to control the overall operation of the application server 1, such as performing data interaction or communication related control and processing, and the like. In this embodiment, the processor 12 is configured to run program code or process data stored in the memory 11, such as a recommendation program 200 that runs the department requirements.

The network interface 13 may comprise a wireless network interface or a wired network interface, which is typically used to establish a communication connection between the application server 1 and other electronic devices.

In this embodiment, the application server 1 installs and runs a recommendation program 200 required by the department. When the recommendation program 200 required by the department is running, the department list and the engineer's resume data are acquired, and the department list includes multiple Selecting a department; secondly, performing a matching degree calculation with the plurality of optional departments according to the resume data to obtain a matching degree score of the resume material and each optional department; and then acquiring the plurality of The average service age of the optional department is calculated, and the service age score of each optional department is calculated; then, the average review time of the plurality of optional departments is obtained, and the audit speed score of each optional department is calculated; further, Obtaining a department budget of the plurality of optional departments, calculating a budget score of each optional department according to a department budget of each optional department and a salary requirement of the engineer; and finally, combining the matching scores, the The service age score, the audit speed score, and the budget score sort the plurality of selectable departments to determine a corresponding to the engineer to be recommended Excellent department. In this way, it is possible to avoid the fact that the overall needs of each engineer and the overall situation of each department post are not carefully understood in the prior art, which causes the engineer to be dissatisfied with the department position, and the disadvantages of the enterprise department being dissatisfied with the engineer can enable the supplier to The selection of the most suitable department by the engineer shortens the integration period of the engineer into the new department, and also improves the satisfaction of the engineer and the stability of the work.

So far, the application environment of the various embodiments of the present application and the hardware structure and functions of related devices have been described in detail. Hereinafter, various embodiments of the present application will be proposed based on the above-described application environment and related devices.

First, the present application proposes a recommendation procedure 200 for departmental requirements.

In this embodiment, the department requirement recommendation program 200 includes a series of computer program instructions stored in the memory 11, and when the computer program instructions are executed by the processor 12, the department requirements of the embodiments of the present application may be implemented. Recommended operation. In some embodiments, the department-recommended recommender 200 can be divided into one or more modules based on the particular operations implemented by the various portions of the computer program instructions. For example, in FIG. 2, the department-required recommendation program 200 can be divided into an acquisition module 201, a matching module 202, a calculation module 203, and a department selection module 204. among them:

The obtaining module 201 is configured to obtain a department list and an engineer's resume information. The department list includes a plurality of optional departments. Specifically, the department list can be obtained from a vendor database. In this embodiment, the engineer is a middle and senior outsourcing service personnel, and the resume material may be provided by the middle and senior outsourcing service personnel, and the supplier reviews the authenticity and uploads the information.

The matching module 202 is configured to perform a matching degree calculation with the plurality of optional departments according to the resume data to obtain a matching score of the resume material and each optional department.

Specifically, the matching score is calculated as follows: First, the matching module 202 extracts a first keyword sequence in the resume data. In this embodiment, the first keyword sequence may include a job type and an annual salary. , work location, working years, skill level, foreign language type and foreign language level. In this embodiment, the first keyword sequence may further include keywords extracted from the project experience column in the resume material, such as a project size, a position in the project, a project result, and the like. Then, the matching module 202 acquires department information of a plurality of optional departments in the department list, where the department information includes a personnel recruitment request; and extracts a second keyword sequence in the personnel recruitment request, the second key The word sequence includes at least the working years, skill requirements, foreign language requirements, and basic information and requirements for the project to be recruited for outsourcing. The matching module 202 calculates the similarity between the first keyword sequence and the second keyword sequence. Finally, searching for the matching corresponding to the similarity in the preset matching degree score lookup table according to the similarity. The score is obtained to obtain the matching score for each of the optional departments.

The calculating module 203 is configured to obtain an average service age of the plurality of optional departments, and calculate a service age score of each optional department.

Specifically, the step of calculating the service age score is as follows: First, the obtaining module 201 acquires department information of a plurality of optional departments in the department list, where the department information may include a department name and/or a department code, and then, The calculation module 203 analyzes the resume data of the engineer and extracts the job information; then, the calculation module 203 searches the database for the similar engineers in each of the optional departments according to the department information and the position information. The service engineer of the same type of engineer calculates the average service age of each of the optional departments according to the service engineers of the same type of engineers and the service engineers of the same type of engineers in each of the optional departments. Finally, the calculating module 203 searches for a service age score corresponding to the average service age in a preset age-age score lookup table according to the average service age to obtain a service of each of the optional departments. Age score.

The calculation module 203 is further configured to obtain an average audit time of the plurality of optional departments, and calculate an audit speed score of each optional department.

Specifically, the step of calculating the audit speed score is as follows: First, the obtaining module 201 acquires department information of a plurality of optional departments in the department list, and the department information may include a department name and/or a department code. Then, the calculation module 203 analyzes the resume data of the engineer and extracts the job information. Then, the calculating module 203 searches the database for the audit time of the similar engineer and the similar engineer in each of the optional departments according to the department information and the position information; further, the calculating module 203 is configured according to Calculating the average audit time of each of the selectable departments in the audit time of the same type of engineer and the similar engineer in each of the selectable departments; and finally, the calculating module 203 is preset according to the average audit time. An audit speed score corresponding to the average audit time is searched in the audit score lookup table to obtain an audit speed score for each of the selectable departments.

The calculating module 203 is further configured to obtain a department budget of the plurality of optional departments, and calculate a budget score of each optional department according to a department budget of each optional department and a salary requirement of the engineer.

Specifically, the calculating step of the budget score is as follows: First, the obtaining module 201 acquires department information of a plurality of optional departments in the department list, and the department information may include a department name and/or a department code. Then, the calculating module 203 analyzes the resume data of the engineer, and extracts the job information and the salary requirement information; then, the calculating module 203 searches each of the optional items in the database according to the department information and the position information. The departmental budget balance of the department and the number of project service months of each of the optional departments; further, the calculating module 203 calculates the salary of the outsourcing personnel of the engineer according to a preset rule according to the salary requirement information. In this embodiment, the preset rule is set according to the needs of the administrator, for example, the salary requirement information is used as the outsourced salary of the engineer. In another embodiment, the outsourcer compensation = the salary requirement information *1.1. Finally, the calculation module 203 calculates a budget score of each of the selectable departments according to the department budget balance, the outsourced employee salary, and the project service month number. In an embodiment, the budget score = the departmental budget balance / outsourcer compensation * the number of project service months.

The department selection module 204 is configured to synthesize the matching degree score, the service age score, the audit speed score, and the budget score to sort the plurality of optional departments, and determine the to-be-recommended The superior department corresponding to the engineer.

Specifically, the department selection module 204 calculates a comprehensive score for each of the selectable departments according to the matching degree score, the service age score, the audit speed score, and the budget score. In an embodiment, the calculation formula of the comprehensive score is calculated as:

Comprehensive score = budget score * (a * the matching score + b * the service age score + c * the review speed score)

The a, b, and c are weights of the matching degree score, the service age-receiving score, and the auditing speed score, respectively, and may be set by a vendor.

The department selection module 204 sorts the plurality of optional departments according to the comprehensive score of each of the optional departments. In an embodiment, if the budget score of the department A is less than 1, the department does not The department A is configured to obtain the top three selected departments as the recommendation department, and obtain the department information of the recommendation department; Make it a choice.

Through the above-mentioned program modules 201-204, the recommendation process 200 of the department requirement proposed by the present application firstly acquires a department list and an engineer's resume data, the department list includes a plurality of optional departments; secondly, according to the resume material, Performing a matching degree calculation with the plurality of optional departments to obtain a matching degree score of the resume material and each optional department; and then obtaining an average service age of the plurality of optional departments, and calculating each The service department age score of the optional department; then, obtaining the average audit time of the plurality of optional departments, calculating the audit speed score of each optional department; further obtaining the department budget of the plurality of selectable departments, Calculating a budget score for each optional department according to a departmental budget of each optional department and a salary requirement of the engineer; and finally, combining the matching score, the service age score, the review speed score, and the The budget score sorts the plurality of optional departments to determine a preferred department corresponding to the engineer to be recommended. In this way, it is possible to avoid the fact that the overall needs of each engineer and the overall situation of each department post are not carefully understood in the prior art, which causes the engineer to be dissatisfied with the department position, and the disadvantages of the enterprise department being dissatisfied with the engineer can enable the supplier to The selection of the most suitable department by the engineer shortens the integration period of the engineer into the new department, and also improves the satisfaction of the engineer and the stability of the work.

In addition, the present application also proposes a recommendation method for departmental requirements.

Referring to FIG. 3, it is a schematic diagram of the implementation process of the first embodiment of the recommended method required by the department of the present application. In this embodiment, the order of execution of the steps in the flowchart shown in FIG. 3 may be changed according to different requirements, and some steps may be omitted.

Step S301, obtaining a department list and an engineer's resume data. The department list includes a plurality of optional departments. Specifically, the department list can be obtained from a vendor database. In this embodiment, the engineer is a middle and senior outsourcing service personnel, and the resume material may be provided by the middle and senior outsourcing service personnel, and the supplier reviews the authenticity and uploads the information.

Step S302: Perform matching calculation with the plurality of optional departments according to the resume data to obtain a matching score of the resume data and each optional department. Specifically, the step of calculating the matching score will be described in detail in the second embodiment (Fig. 4) of the recommended method required by the department of the present application.

Step S303, obtaining an average service age of the plurality of optional departments, and calculating a service age score of each optional department.

Specifically, the step of calculating the service age score is as follows: First, the application server 1 acquires department information of a plurality of optional departments in the department list, and the department information may include a department name and/or a department code, and then, The application server 1 analyzes the resume data of the engineer, and extracts job information; then, the application server 1 searches the database for similar engineers in each of the optional departments according to the department information and the position information. The service engineer of the same type of engineer calculates the average service age of each of the optional departments according to the service engineers of the same type of engineers and the service engineers of the same type of engineers in each of the optional departments. Finally, the application server 1 searches for a service age score corresponding to the average service age in a preset age-age score lookup table according to the average service age to obtain a service of each of the optional departments. Age score.

Step S304, obtaining an average audit time of the plurality of optional departments, and calculating an audit speed score of each optional department.

Specifically, the step of calculating the audit speed score is as follows: First, the application server 1 acquires department information of a plurality of optional departments in the department list, and the department information may include a department name and/or a department code. Then, the application server 1 analyzes the resume data of the engineer and extracts job information. Then, the application server 1 searches the database for the audit time of the similar engineer and the similar engineer in each of the optional departments according to the department information and the position information; further, the application server 1 is based on Calculating the average audit time of each of the selectable departments in the audit time of the same type of engineers and the similar engineers in each of the selectable departments; and finally, the application server 1 is preset according to the average audit time An audit speed score corresponding to the average audit time is searched in the audit score lookup table to obtain an audit speed score for each of the selectable departments.

Step S305: Obtain a department budget of the plurality of optional departments, and calculate a budget score of each optional department according to a department budget of each optional department and a salary requirement of the engineer.

Specifically, the calculating step of the budget score is as follows: First, the application server 1 acquires department information of a plurality of optional departments in the department list, and the department information may include a department name and/or a department code. Then, the application server 1 analyzes the resume data of the engineer, and extracts job information and salary requirement information; then, the application server 1 searches each of the optional items in the database according to the department information and the position information. The departmental budget balance of the department and the number of project service months of each of the optional departments; further, the application server 1 calculates the salary of the outsourced personnel of the engineer according to a preset rule. In this embodiment, the preset rule is set according to the needs of the administrator, for example, the salary requirement information is used as the outsourced salary of the engineer. In another embodiment, the outsourcer compensation = the salary requirement information *1.1. Finally, the application server 1 calculates a budget score of each of the selectable departments according to the department budget balance, the outsourcer salary, and the project service month. In an embodiment, the budget score = the departmental budget balance / outsourcer compensation * the number of project service months.

Step S306, synthesizing the matching degree score, the service age score, the audit speed score, and the budget score to sort the plurality of optional departments, and determining a preferred department corresponding to the engineer to be recommended .

Specifically, the application server 1 calculates a comprehensive score of each optional department according to the matching degree score, the service age score, the audit speed score, and the budget score. In an embodiment, the calculation formula of the comprehensive score is calculated as:

Comprehensive score = budget score * (a * the matching score + b * the service age score + c * the review speed score)

The a, b, and c are weights of the matching degree score, the service age-receiving score, and the auditing speed score, respectively, and may be set by a vendor.

The application server 1 sorts the plurality of optional departments according to the comprehensive score of each of the optional departments. In an embodiment, if the budget score of the department A is lower than 1, the The A department performs the sorting; the application server 1 obtains the top three optional departments as the recommendation department, and obtains the department information of the recommended department; and sends the department information of the recommended department to the supplier, so that Make a choice.

Through the above steps S301-306, the recommendation method of the department requirement proposed by the present application firstly obtains a department list and an engineer's resume data, the department list includes a plurality of optional departments; secondly, according to the resume data, respectively Performing matching calculation on the plurality of optional departments to obtain a matching score of the resume data and each optional department; and then obtaining an average service age of the plurality of optional departments, and calculating each optional a service age score for the department; then, obtaining an average review time for the plurality of selectable departments, calculating an audit speed score for each of the selectable departments; and further obtaining a departmental budget for the plurality of selectable departments, according to each a departmental budget of the optional department and a salary requirement of the engineer, calculating a budget score for each optional department; and finally, combining the matching score, the service age score, the review speed score, and the budget The score sorts the plurality of optional departments to determine a preferred department corresponding to the engineer to be recommended. In this way, it is possible to avoid the fact that the overall needs of each engineer and the overall situation of each department post are not carefully understood in the prior art, which causes the engineer to be dissatisfied with the department position, and the disadvantages of the enterprise department being dissatisfied with the engineer can enable the supplier to The selection of the most suitable department by the engineer shortens the integration period of the engineer into the new department, and also improves the satisfaction of the engineer and the stability of the work.

Referring to FIG. 4, it is a schematic diagram of the implementation process of the second embodiment of the recommended method required by the department of the present application. In this embodiment, the order of execution of the steps in the flowchart shown in FIG. 4 may be changed according to different requirements, and some steps may be omitted. In this embodiment, the step of calculating the matching score includes:

Step S401, extracting a first keyword sequence in the resume data. In this embodiment, the first keyword sequence may include a job type, an annual salary, a work place, a working year, a skill level, a foreign language type, and a foreign language level. In this embodiment, the first keyword sequence may further include keywords extracted from the project experience column in the resume material, such as the project size, the position in the project, the project result, and the like.

Step S402, acquiring department information of the plurality of optional departments. The department information includes personnel recruitment requirements.

Step S403, extracting a second keyword sequence in the personnel recruitment request. The second keyword sequence includes at least the working years, skill requirements, foreign language requirements, and basic information and requirements of the project to be recruited for outsourcing.

Step S404, calculating a similarity between the first keyword sequence and the second keyword sequence. The specific method for calculating the similarity is a common technique in the art, and is not described in this embodiment.

Step S405, searching for a matching degree score corresponding to the similarity in the preset matching degree score lookup table according to the similarity to obtain a matching degree score of each optional department. The preset matching degree score lookup table is preset by the manager in the database of the application server 1.

Through the above steps S401-405, the recommendation method of the department requirement proposed by the present application may perform matching calculation with the plurality of optional departments according to the resume data to obtain the resume data and each optional The department's matching scores provide data support for subsequent departmental choices.

The serial numbers of the embodiments of the present application are merely for the description, and do not represent the advantages and disadvantages of the embodiments.

Through the description of the above embodiments, those skilled in the art can clearly understand that the foregoing embodiment method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be through hardware, but in many cases, the former is better. Implementation. Based on such understanding, the technical solution of the present application, which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM, disk, The optical disc includes a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in various embodiments of the present application.

The above is only a preferred embodiment of the present application, and is not intended to limit the scope of the patent application, and the equivalent structure or equivalent process transformations made by the specification and the drawings of the present application, or directly or indirectly applied to other related technical fields. The same is included in the scope of patent protection of this application.

Claims (20)

A method for recommending departmental requirements is applied to an application server, and the method includes: Obtaining a list of departments and resumes of engineers, the list of departments including a plurality of optional departments; Performing a matching degree calculation with the plurality of optional departments according to the resume data to obtain a matching score of the resume material and each optional department; Obtaining an average service age of the plurality of selectable departments, and calculating a service age score for each optional department; Obtaining an average review time of the plurality of selectable departments, and calculating an audit speed score of each optional department; Obtaining a departmental budget for the plurality of selectable departments, and calculating a budget score for each of the selectable departments according to a departmental budget of each of the selectable departments and a salary requirement of the engineer; and And synthesizing the plurality of optional departments by the matching degree score, the service age score, the audit speed score, and the budget score, and determining a preferred department corresponding to the engineer to be recommended. The method for recommending departmental requirements according to claim 1, wherein the calculating step of the matching degree score comprises: Extracting a first keyword sequence in the resume material; Obtaining department information of the plurality of optional departments, where the department information includes a personnel recruitment request; Extracting a second keyword sequence in the personnel recruitment request, the second keyword sequence including at least a working year, a skill requirement, a foreign language requirement, and basic information and requirements of the project to be recruited for outsourcing; Calculating a similarity between the first keyword sequence and the second keyword sequence; and And searching for a matching degree score corresponding to the similarity in the preset matching degree score lookup table according to the similarity to obtain a matching degree score of each of the selectable departments. The method for recommending departmental requirements according to claim 2, wherein the first keyword sequence comprises a job type, an annual salary, a work place, a working age, a skill level, a foreign language type, and a foreign language level. The method for recommending departmental requirements according to claim 2, wherein the second keyword sequence includes working years, skill requirements, foreign language requirements, and basic information and requirements of the project to be recruited for outsourcing. The method for recommending departmental requirements according to claim 1, wherein the step of calculating a service age score of each of the plurality of selectable departments comprises: Obtaining department information of the plurality of optional departments; Analyze the resume information of the engineer and extract job information; Searching, in the database, the service engineers of the same type of each of the optional departments and the service engineers of the same type of engineers according to the department information and the position information; Calculating the average service age of each of the optional departments according to the service age of the same type of engineer and the same type of engineer; and A service age score corresponding to the average service age is searched in the preset age-age score lookup table according to the average service age to obtain a service age score for each of the selectable departments. The method for recommending departmental requirements according to claim 1, wherein the calculating step of the auditing speed score comprises: Obtaining department information of the plurality of optional departments; Analyze the resume information of the engineer and extract job information; Searching, in the database, the audit time of the similar engineer and the similar engineer in each optional department according to the department information and the position information; Calculating the average review time of each of the optional departments according to the review time of the same type of engineer and the same type of engineer; and An audit speed score corresponding to the average audit time is searched in the preset audit score lookup table according to the average audit time to obtain an audit speed score of each of the selectable departments. The method for recommending a departmental requirement according to claim 1, wherein the calculating step of the budget score comprises: Obtaining department information of the plurality of optional departments; Analyze the resume information of the engineer, and extract job information and salary request information; Searching, in the database, the department budget balance of each optional department and the number of project service months of each optional department according to the department information and the position information; Calculating the salary of the outsourcing personnel of the engineer according to a preset rule by using the salary requirement information; and Calculating the budget score of each optional department according to the department budget balance, the outsourcer salary, and the number of project service months. An application server, comprising: a memory, a processor, wherein the memory stores a recommendation program of a department requirement that can be run on the processor, and a recommendation program required by the department is described The processor implements the following steps when it executes: Obtaining a list of departments and resumes of engineers, the list of departments including a plurality of optional departments; Performing a matching degree calculation with the plurality of optional departments according to the resume data to obtain a matching score of the resume material and each optional department; Obtaining an average service age of the plurality of selectable departments, and calculating a service age score for each optional department; Obtaining an average review time of the plurality of selectable departments, and calculating an audit speed score of each optional department; Obtaining a departmental budget for the plurality of selectable departments, and calculating a budget score for each of the selectable departments according to a departmental budget of each of the selectable departments and a salary requirement of the engineer; and And synthesizing the plurality of optional departments by the matching degree score, the service age score, the audit speed score, and the budget score, and determining a preferred department corresponding to the engineer to be recommended. The application server according to claim 8, wherein the calculating step of the matching score comprises: Extracting a first keyword sequence in the resume material; Obtaining department information of the plurality of optional departments, where the department information includes a personnel recruitment request; Extracting a second keyword sequence in the personnel recruitment request, the second keyword sequence including at least a working year, a skill requirement, a foreign language requirement, and basic information and requirements of the project to be recruited for outsourcing; Calculating a similarity between the first keyword sequence and the second keyword sequence; and And searching for a matching degree score corresponding to the similarity in the preset matching degree score lookup table according to the similarity to obtain a matching degree score of each of the selectable departments. The application server according to claim 9, wherein the first keyword sequence includes a job type, an annual salary, a work place, a working age, a skill level, a foreign language type, and a foreign language level. The application server according to claim 9, wherein said second keyword sequence includes working years, skill requirements, foreign language requirements, and basic information and requirements of the project to be recruited for outsourcing. The application server according to claim 8, wherein said step of calculating a service age score of each of said plurality of selectable departments comprises: Obtaining department information of the plurality of optional departments; Analyze the resume information of the engineer and extract job information; Searching, in the database, the service engineers of the same type of each of the optional departments and the service engineers of the same type of engineers according to the department information and the position information; Calculating the average service age of each of the optional departments according to the service age of the same type of engineer and the same type of engineer; and Finding a service age score corresponding to the average service age in the preset age-age score lookup table according to the average service age to obtain a service age score of each of the selectable departments. The application server according to claim 8, wherein the calculating step of the audit speed score comprises: Obtaining department information of the plurality of optional departments; Analyze the resume information of the engineer and extract job information; Searching, in the database, the audit time of the similar engineer and the similar engineer in each optional department according to the department information and the position information; Calculating the average review time of each of the optional departments according to the review time of the same type of engineer and the same type of engineer; and An audit speed score corresponding to the average audit time is searched in the preset audit score lookup table according to the average audit time to obtain an audit speed score of each of the selectable departments. The application server according to claim 8, wherein the calculating step of the budget score comprises: Obtaining department information of the plurality of optional departments; Analyze the resume information of the engineer, and extract job information and salary request information; Searching, in the database, the department budget balance of each optional department and the number of project service months of each optional department according to the department information and the position information; Calculating the salary of the outsourcing personnel of the engineer according to a preset rule by using the salary requirement information; and The budget score for each of the optional departments is calculated based on the departmental budget balance, the outsourced employee's salary, and the number of project service months. A computer readable storage medium storing a recommendation program required by a department, wherein the recommendation program required by the department is executable by at least one processor to cause the at least one processor to perform the following steps: Obtaining a list of departments and resumes of engineers, the list of departments including a plurality of optional departments; Performing a matching degree calculation with the plurality of optional departments according to the resume data to obtain a matching score of the resume material and each optional department; Obtaining an average service age of the plurality of selectable departments, and calculating a service age score for each optional department; Obtaining an average review time of the plurality of selectable departments, and calculating an audit speed score of each optional department; Obtaining a departmental budget for the plurality of selectable departments, and calculating a budget score for each of the selectable departments according to a departmental budget of each of the selectable departments and a salary requirement of the engineer; and And synthesizing the plurality of optional departments by the matching degree score, the service age score, the audit speed score, and the budget score, and determining a preferred department corresponding to the engineer to be recommended. The computer readable storage medium of claim 15, wherein the calculating step of the matching score comprises: Extracting a first keyword sequence in the resume material; Obtaining department information of the plurality of optional departments, where the department information includes a personnel recruitment request; Extracting a second keyword sequence in the personnel recruitment request, the second keyword sequence including at least a working year, a skill requirement, a foreign language requirement, and basic information and requirements of the project to be recruited for outsourcing; Calculating a similarity between the first keyword sequence and the second keyword sequence; and And searching for a matching degree score corresponding to the similarity in the preset matching degree score lookup table according to the similarity to obtain a matching degree score of each of the selectable departments. The computer readable storage medium of claim 16, wherein the first keyword sequence comprises a job type, an annual salary, a work location, a working age, a skill level, a foreign language type, and a foreign language level. The computer readable storage medium of claim 16 wherein said second sequence of keywords comprises years of work, skill requirements, foreign language requirements, and basic information and requirements for the project to be recruited for outsourcing. The computer readable storage medium of claim 15 wherein said step of calculating a service age score for each of said plurality of selectable departments comprises: Obtaining department information of the plurality of optional departments; Analyze the resume information of the engineer and extract job information; Searching, in the database, the service engineers of the same type of each of the optional departments and the service engineers of the same type of engineers according to the department information and the position information; Calculating the average service age of each of the optional departments according to the service age of the same type of engineer and the same type of engineer; and Finding a service age score corresponding to the average service age in the preset age-age score lookup table according to the average service age to obtain a service age score of each of the selectable departments. The computer readable storage medium of claim 15, wherein the step of calculating the audit speed score comprises: Obtaining department information of the plurality of optional departments; Analyze the resume information of the engineer and extract job information; Searching, in the database, the audit time of the similar engineer and the similar engineer in each optional department according to the department information and the position information; Calculating the average review time of each of the optional departments according to the review time of the same type of engineer and the same type of engineer; and An audit speed score corresponding to the average audit time is searched in the preset audit score lookup table according to the average audit time to obtain an audit speed score of each of the selectable departments.

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