WO2023155274A1 - Recruitment information publishing method and apparatus based on rpa and ai - Google Patents

Abstract

Provided are a recruitment information publishing method and apparatus based on RPA and AI. The recruitment information publishing method based on RPA and AI comprises: receiving a recruitment information publishing instruction, wherein the recruitment information publishing instruction comprises identifiers of posts subjected to recruitment and an identifier of each recruitment website in a first group of recruitment websites; according to the identifier of each of said posts, obtaining, from a recruitment information data set, first recruitment information corresponding to each of said posts; according to the identifier of each recruitment website in the first group of recruitment websites, obtaining, from a published information data set, an RPA publishing process corresponding to each recruitment website; and sequentially executing the RPA publishing process corresponding to each recruitment website, so as to publish the first recruitment information to each recruitment website.

Description

Method and device for publishing recruitment information based on RPA and AI

Cross References to Related Applications

This application claims priority to Chinese Patent Application No. 202210137870.8 filed in China on February 15, 2022, the entire contents of which are incorporated herein by reference.

technical field

The present disclosure relates to the field of computer technology, specifically to the fields of robotic process automation (RPA) and artificial intelligence (AI), and in particular to a method and device for publishing recruitment information based on RPA and AI.

Background technique

Robotic Process Automation (RPA) uses specific "robot software" to simulate human operations on computers and automatically execute process tasks according to rules.

Artificial Intelligence (AI) is a technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

With the development of computer technology, the Internet is also used more and more widely. In the process of talent recruitment, enterprises can publish recruitment information on major recruitment websites. In related technologies, the personnel of the enterprise are usually required to publish the recruitment information of each position on different recruitment websites one by one, which not only wastes a lot of time of the personnel, but also has low efficiency in publishing the recruitment information. Therefore, how to improve the efficiency of recruitment information release has become a key research direction.

Contents of the invention

Embodiments of the present disclosure provide a method and device for publishing recruitment information based on RPA and AI, as well as electronic equipment, computer-readable storage media, computer program products, and computer programs.

In the first aspect, the embodiment of the present disclosure provides a method for publishing recruitment information based on RPA and AI. The methods include:

Receiving a recruitment information release instruction, wherein the recruitment information release instruction includes the identification of the position to be recruited and the identification of each recruitment website in the first group of recruitment websites, and the first group of recruitment websites includes at least one recruitment website;

According to the identification of the position to be recruited, the first recruitment information corresponding to the position to be recruited is obtained from the recruitment information data set;

According to the identification of each recruitment website in the first group of recruitment websites, the RPA release process corresponding to each recruitment website in the first group of recruitment websites is obtained from the release information data set; and

Executing the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites in sequence, so as to publish the first recruitment information corresponding to the position to be recruited to each recruitment website in the first group of recruitment websites.

In one embodiment, the RPA release process corresponding to each recruitment website in the first group of recruitment websites is sequentially executed to publish the first recruitment information corresponding to the position to be recruited to the first group of recruitment websites After each of the recruitment sites, the method also includes:

Screenshot and save the current page of each recruitment website in the first group of recruitment websites;

Invoking optical character recognition OCR to analyze the screenshot corresponding to each recruitment website in the first group of recruitment websites, so as to determine the release result of the first recruitment information in the first group of recruitment websites; and

returning the publishing result to the client.

In one embodiment, before obtaining the RPA release process corresponding to each recruitment website in the first group of recruitment websites from the release information data set according to the identification of each recruitment website in the first group , the method also includes:

receiving a recording instruction, wherein the recording instruction includes the identification of each recruitment website in the first group of recruitment websites;

initiating a recording to obtain data on the operation of posting a job posting on said first set of job sites;

Processing the operation data to generate an RPA publishing process corresponding to each recruitment website in the first group of recruitment websites; and

The identifier of each recruitment website in the first group of recruitment websites and the corresponding RPA release process are associated and stored in the release information data set.

In one embodiment, the receiving the recruitment information posting instruction includes:

receiving the recruitment information release instruction sent by the client;

or,

The recruitment information posting instruction sent by the dialogue robot is received.

In one embodiment, the method also includes:

In response to receiving the position information update instruction, call the natural language processing service NLP to process the update instruction, so as to determine the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites, wherein the The second group of recruitment websites contains at least one recruitment website;

Acquiring second recruitment information corresponding to the recruitment post to be updated from the recruitment information data set according to the identification of the recruitment post to be updated;

According to the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites, obtain the published information corresponding to the identification of the recruitment position to be updated from the second group of recruitment websites The third recruitment information of ; and

The third recruitment information is updated according to the second recruitment information.

In the second aspect, the embodiment of the present disclosure provides an apparatus for publishing recruitment information based on RPA and AI. The devices include:

The first receiving module is used to receive the recruitment information release instruction, wherein the recruitment information release instruction includes the identification of the position to be recruited and the identification of each recruitment website in the first group of recruitment websites, and the first group of recruitment websites Contains at least one job site;

The first acquisition module is used to obtain the first recruitment information corresponding to the position to be recruited from the recruitment information data set according to the identification of each position to be recruited;

The second acquisition module is used to obtain the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites from the release information data set according to the identification of each recruitment website in the first group of recruitment websites; and

A publishing module, configured to sequentially execute the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites, so as to publish the first recruitment information corresponding to the position to be recruited to each of the first group of recruitment websites recruitment site.

In one embodiment, the device further includes a first determining module, configured to:

Screenshot and save the current page of each recruitment website in the first group of recruitment websites;

Invoking optical character recognition OCR to analyze the screenshot corresponding to each recruitment website in the first group of recruitment websites, so as to determine the release result of the first recruitment information in the first group of recruitment websites; and

returning the publishing result to the client.

In one embodiment, the device also includes:

The second receiving module is configured to receive a recording instruction, wherein the recording instruction includes the identification of each recruitment website in the first group of recruitment websites;

A recording module, configured to start recording, so as to obtain operation data for posting recruitment information on the first group of recruitment websites;

A generating module, configured to process the operational data to generate an RPA publishing process corresponding to each recruitment website in the first group of recruitment websites; and

A storage module, configured to associate and store the identifier of each recruitment website in the first group of recruitment websites and the corresponding RPA release process into the release information data set.

In one embodiment, the first receiving module is used for:

receiving the recruitment information release instruction sent by the client;

or,

The recruitment information posting instruction sent by the dialogue robot is received.

In one embodiment, the device also includes:

The second determination module is configured to call the natural language processing service NLP to process the update instruction in response to receiving the post information update instruction, so as to determine the identity of the recruitment post to be updated and each recruitment website in the second group of recruitment websites , wherein the second group of recruitment websites includes at least one recruitment website;

The third obtaining module is used to obtain the second recruitment information corresponding to the recruitment position to be updated from the recruitment information data set according to the identification of the recruitment position to be updated;

The fourth acquisition module is used to obtain the recruitment information to be updated from the second group of recruitment websites according to the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites. The published third recruitment information corresponding to the identification of the position; and

An updating module, configured to update the third recruitment information according to the second recruitment information.

In a third aspect, an embodiment of the present disclosure provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the program, the following On the one hand, the embodiment provides a method for publishing recruitment information based on RPA and AI.

In a fourth aspect, an embodiment of the present disclosure provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the RPA- and AI-based recruitment information provided in the embodiment of the first aspect is realized. Publish method.

In a fifth aspect, an embodiment of the present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the RPA- and AI-based recruitment information publishing method provided in the embodiment of the first aspect.

In a sixth aspect, an embodiment of the present disclosure provides a computer program, including computer program code, when the computer program code is run on a computer, so that the computer executes the RPA-based and AI's recruitment information release method.

The advantages or beneficial effects of the above technical solutions at least include:

In the embodiment of the present disclosure, the recruitment information publishing instruction is first received, and then according to the identification of each post to be recruited, the first recruitment information corresponding to each post to be recruited is obtained from the recruitment information data set, and according to each The logo of the recruitment website, obtain the RPA release process corresponding to each recruitment website in the first group of recruitment websites from the release information data set, and finally execute the RPA release process corresponding to each recruitment website in the first group of recruitment websites in order to The first recruitment information corresponding to the position is published to each recruitment website in the first group of recruitment websites. As a result, the RPA robot can publish the recruitment information of the recruitment positions that need to be released on the corresponding recruitment websites in sequence according to the RPA release process corresponding to each recruitment website, which not only saves human resources, but also improves the efficiency of the release of recruitment information .

The above summary is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments and features described above, further aspects, embodiments and features of the present disclosure will be readily apparent by referring to the drawings and the following detailed description.

Description of drawings

In the drawings, unless otherwise specified, the same reference numerals designate the same or similar parts or elements throughout the several drawings. The drawings are not necessarily drawn to scale. It should be understood that these drawings depict only some embodiments according to the present disclosure and should not be taken as limiting the scope of the present disclosure.

FIG. 1 is a schematic flow diagram of a method for publishing recruitment information based on RPA and AI provided by an embodiment of the present disclosure;

FIG. 2 is a schematic flow diagram of a method for publishing recruitment information based on RPA and AI provided by another embodiment of the present disclosure;

Fig. 2a is a schematic diagram of a client display interface provided by an embodiment of the present disclosure;

FIG. 3 is a schematic flow diagram of a method for publishing recruitment information based on RPA and AI provided by another embodiment of the present disclosure;

4 is a schematic structural diagram of a data analysis device combining RPA and AI proposed by an embodiment of the present disclosure;

FIG. 5 is a schematic diagram of a hardware structure of an electronic device provided by an embodiment of the present disclosure.

Detailed ways

Embodiments of the present disclosure are described in detail below, examples of which are illustrated in the drawings, in which the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present disclosure and should not be construed as limiting the present disclosure.

In the description of the present disclosure, the term "plurality" means two or more.

In the description of this disclosure, artificial intelligence (Artificial Intelligence, AI) is a subject that studies the computer to simulate certain human thinking processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), both at the hardware level Technology also has software-level technology. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, machine learning, depth Learning, big data processing technology, knowledge map technology and other major directions.

In the description of this disclosure, Robotic Process Automation (RPA) can provide another way to automate the manual operation process of the end user by imitating the manual operation method of the end user on the computer.

In the description of the present disclosure, natural language processing (Natural Language Processing, NPL) refers to the technology of using the natural language used by human to communicate with the machine for interactive communication. Through artificial processing of natural language, computers can read and understand it. Research on natural language processing began with human exploration of machine translation.

In the description of this disclosure, Optical Character Recognition (Optical Character Recognition, OCR) specifically refers to electronic equipment checking characters printed on paper, determining their shapes by detecting dark and bright patterns, and then using character recognition methods to translate the shapes into The process of computer text; that is, for printed characters, the text in the paper document is optically converted into a black and white dot matrix image file, and the text in the image is converted into a text format by recognition software for word processing software Further editing and processing techniques.

In the description of the present disclosure, the term "recruitment information release instruction" may be an instruction instructing the PRA robot to release recruitment information, which may be any type of instruction, which is not limited in the present disclosure.

In the description of the present disclosure, the term "job information update instruction" may be an instruction instructing the RPA robot to update the published recruitment information, which may be any type of instruction, which is not limited in the present disclosure.

These and other aspects of embodiments of the present disclosure will become apparent with reference to the following description and drawings. In these descriptions and drawings, some specific implementation manners in the embodiments of the present disclosure are specifically disclosed to represent some ways of implementing the principles of the embodiments of the present disclosure, but it should be understood that the scope of the embodiments of the present disclosure is not limited by this limit. On the contrary, the embodiments of the present disclosure include all changes, modifications and equivalents coming within the spirit and scope of the appended claims.

FIG. 1 is a schematic flowchart of a method for publishing recruitment information based on RPA and AI provided by an embodiment of the present disclosure.

It should be noted that RPA technology can intelligently understand the existing applications of electronic devices through the user interface, and automate repetitive, rule-based, and large-scale routine operations, such as automatically and repeatedly reading emails, reading Office components, and operating Databases, web pages, client software, etc., collect data and perform tedious calculations to generate documents and reports in large quantities, so that RPA technology can greatly reduce labor costs and effectively improve office efficiency.

The execution subject of the RPA and AI-based recruitment information publishing method of the embodiment of the present disclosure may be an RPA robot, and may also be the RPA and AI-based recruitment information publishing device of the embodiment of the present disclosure. The above-mentioned RPA robot and/or RPA and AI-based The apparatus for publishing recruitment information can be configured in any electronic device to execute the method for publishing recruitment information based on RPA and AI in the embodiment of the present disclosure. In some embodiments, the above-mentioned RPA robot may include an RPA robot.

As shown in FIG. 1 , the method for publishing recruitment information based on RPA and AI may include the following steps 101 to 104 .

Step 101: Receive a recruitment information release instruction, wherein the recruitment information release instruction includes the identification of the position to be recruited and the identification of each recruitment website in the first group of recruitment websites.

In some embodiments, the first group of recruitment websites includes at least one recruitment website.

In some embodiments, the style or presentation form of the identification of the position to be recruited can be set in advance, for example, it can be "position 1", "position A2" and so on, which is not limited in the present disclosure.

In some embodiments, the style or presentation form of the logo of each recruitment website in the first group of recruitment websites can be set in advance, for example, it can be "site 1", "site B2" and so on. No limit.

In some embodiments, the recruitment information release instruction may include one or more identifications of positions to be recruited, which is not limited in the present disclosure.

In some embodiments, the identifications of positions to be recruited included in the recruitment information release instruction are "position 1" and "position 2", and the identification of each recruitment website in the first group of recruitment websites can be "site A" and "site B". ". That is, the RPA robot needs to publish the recruitment information corresponding to "job 1" and the recruitment information corresponding to "job 2" to "website A" and "website B".

Step 102: Obtain the first recruitment information corresponding to the position to be recruited from the recruitment information data set according to the identification of each position to be recruited.

In some embodiments, the recruitment information data set stores the recruitment information corresponding to each recruitment position and the identification corresponding to each recruitment position. Thus, the RPA robot can obtain the first recruitment information corresponding to the position to be recruited from the recruitment information data set according to the identification of the position to be recruited.

In some embodiments, the human resources management staff of the enterprise can store the recruitment information of each recruitment position in an excel file or a word file in a specified format. The present disclosure does not limit this.

In some embodiments, the specified format may be that the first line is "recruitment unit"; the second line is "recruitment position"; the third line is "educational requirements" and so on. The present disclosure does not limit this.

Step 103: According to the identification of each recruitment website in the first group of recruitment websites, obtain the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites from the release information data set.

In some embodiments, the posting information data set stores the identification of each recruitment website and the detailed process of posting recruitment information corresponding to each recruitment website. Thus, the RPA robot can obtain the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites from the release information data set according to the identification of each recruitment website in the first group of recruitment websites.

In some embodiments, the RPA posting process may be an operation process for posting recruitment information on a recruitment website that can be identified by an RPA robot.

In some embodiments, the RPA publishing process may include logging into the recruitment website, opening the recruitment information input interface, inputting the first recruitment information in a corresponding position in the input interface, clicking a release button, and so on. The present disclosure does not limit this.

It is understandable that since the RPA robot needs to log in to the recruitment website before releasing the recruitment information, the release information data set may also include the login information corresponding to each recruitment website. The login information may include a website address, an account number, a password, and the like. The present disclosure does not limit this.

Step 104: Execute the RPA release process corresponding to each recruitment website in the first group of recruitment websites in sequence, so as to release the first recruitment information corresponding to the position to be recruited to each recruitment website in the first group of recruitment websites.

It is understandable that after the RPA robot obtains the first recruitment information corresponding to each recruitment position and the RPA release process corresponding to each recruitment website of the first group of recruitment websites, it can sequentially execute the first group of recruitment websites corresponding to each recruitment website. According to the RPA publishing process, the first recruitment information corresponding to the first recruitment position is published on each recruitment website of the first group of recruitment websites in turn.

In some embodiments, the RPA robot can first log in to a recruitment website, and then post the recruitment information corresponding to the multiple positions to be recruited because the recruitment information publishing instruction can include the identification of multiple positions to be recruited and the identification of multiple recruitment websites. The information is published in the currently logged-in recruitment website in turn, and then log in to the next recruitment website, and successively release the recruitment information corresponding to multiple positions to be recruited; from this, until all the recruitment information corresponding to the positions to be recruited is released to multiple recruitment websites middle.

In some other embodiments, the RPA robot may first publish the recruitment information corresponding to a position to be recruited on each of the recruitment websites of the first group of recruitment websites in sequence, and then publish the recruitment information corresponding to the next position to be recruited in sequence In each of the recruitment websites of the first group of recruitment websites; from this, until all the recruitment information corresponding to the positions to be recruited is released to each of the recruitment websites of the first group of recruitment websites.

In the embodiment of the present disclosure, the recruitment information publishing instruction is first received, and then according to the identification of each post to be recruited, the first recruitment information corresponding to each post to be recruited is obtained from the recruitment information data set, and according to each The logo of the recruitment website, obtain the RPA release process corresponding to each recruitment website in the first group of recruitment websites from the release information data set, and finally execute the RPA release process corresponding to each recruitment website in the first group of recruitment websites in order to The first recruitment information corresponding to the position is published to each recruitment website in the first group of recruitment websites. As a result, the RPA robot can publish the recruitment information of the recruitment positions that need to be released on the corresponding recruitment websites in sequence according to the RPA release process corresponding to each recruitment website, which not only saves human resources, but also improves the efficiency of the release of recruitment information .

FIG. 2 is a schematic flow diagram of a method for publishing recruitment information based on RPA and AI provided by another embodiment of the present disclosure;

As shown in FIG. 2 , the method for publishing recruitment information based on RPA and AI includes the following steps 201 to 207 .

Step 201: Receive a recruitment information release instruction, wherein the recruitment information release instruction includes the identification of the position to be recruited and the identification of each recruitment website in the first group of recruitment websites.

In some embodiments, the first group of recruitment websites includes at least one recruitment website.

In some embodiments, the RPA robot may receive the recruitment information release instruction sent by the client.

In some embodiments, the client may be a web browser or an application, which is not limited in the present disclosure.

Fig. 2a is a schematic diagram of a client display interface provided by an embodiment of the present disclosure. As shown in Fig. 2, the human resources management staff can check the logo of the position to be recruited in the client display interface, and the first group The logo of each recruitment website in the recruitment website, and then click the start button to start the RPA robot to publish the recruitment information of the positions to be recruited checked in the display interface to each recruitment website in the first group of recruitment websites.

In some other embodiments, the RPA robot may also receive the recruitment information posting instruction sent by the dialogue robot.

In some embodiments, the dialogue robot may be a Chatbot dialogue robot, or any other robot capable of dialogue. The present disclosure does not limit this.

It is understandable that the dialogue robot can analyze the voice data or text data input by the human resource management staff to determine whether the voice data or text data contains instructions for posting recruitment information, and if it contains instructions for posting recruitment information, send to The RPA robot sends a recruitment information release instruction, so that the RPA robot publishes the recruitment information corresponding to the position to be recruited on the corresponding recruitment website.

Step 202: According to the identification of each position to be recruited, obtain the first recruitment information corresponding to each position to be recruited from the recruitment information data set.

In some embodiments, for a specific implementation form of step 202, reference may be made to the detailed descriptions in other embodiments in the present disclosure, and details are not repeated here.

Step 203: According to the identification of each recruitment website in the first group of recruitment websites, obtain the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites from the release information data set.

It should be noted that before obtaining the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites from the release information data set, it is also necessary to record the operation process of publishing recruitment information on each recruitment website and store it in the release The information data is centralized, so if you still need to publish recruitment information on the recruitment website in the future, you can directly call the corresponding RPA release process from the release information data set, thereby saving resources and improving the efficiency of resume release.

In some embodiments, the specific steps of recording the operation process of posting recruitment information on the recruitment website and storing it in the posting information data set may include (1) receiving a recording instruction; (2) starting the recording; (3) recording the operation data and (4) associate and store the identification of each recruitment website in the first group of recruitment websites and the corresponding RPA release process into the release information data set.

(1) Receive recording instructions

In some embodiments, the recording instruction includes an identification of each recruitment website in the first set of recruitment websites.

In some embodiments, the recording instruction may be an instruction in any form, for example, it may be in the form of voice, or it may also be in the form of triggering through controls, etc., which is not limited in the present disclosure.

In some embodiments, by parsing the recorded instruction, the identification of the recruitment website contained therein can be determined. In some embodiments, by parsing the recorded instruction, it is determined that "website 1" is contained therein, and then it can be determined that the corresponding recruitment website is "website 1" and so on. The present disclosure does not limit this.

(2) Start recording to obtain operation data of posting recruitment information on the first group of recruitment websites.

It can be understood that after the identification of each recruitment website in the first group of recruitment websites contained in the recording instruction is determined, the operation process of publishing recruitment information on the recruitment website can be recorded, so as to obtain the recruitment information in the first group. Operational data of job postings posted on each job site in the website.

In some embodiments, the operation data may include: operation object, operation type, operation location and so on. This disclosure does not limit it.

In some embodiments, the operation object may also be any operated object, such as any control, button, text, etc. in the process of posting recruitment information, which is not limited in the present disclosure.

In some embodiments, there are multiple types of operation, for example, it may be a mouse click behavior, or it may also be a keyboard key input behavior, etc., which is not limited in the present disclosure.

In some embodiments, the operation location may represent the location where the operation action or processing action occurs, for example, it may be expressed in the form of coordinates, or may be expressed in other forms, etc., which is not limited in the present disclosure.

(3) Process the operation data to generate an RPA publishing process corresponding to each recruitment website in the first group of recruitment websites.

In some embodiments, the RPA release process is a release process that can be recognized by the RPA robot and can be directly executed.

It can be understood that, after the RPA robot generates the RPA release process, it can release the recruitment information on the corresponding recruitment website according to the RPA release process.

(4) The identification of each recruitment website in the first group of recruitment websites and the corresponding RPA release process are associated and stored in the release information data set.

In some embodiments, the identification of each recruitment website in the first group of recruitment websites and the corresponding RPA publishing process may be stored in a table form, or may also be stored in a document format, etc., which is not limited in the present disclosure.

Step 204: Execute the RPA release process corresponding to each recruitment website in the first group of recruitment websites in sequence, so as to release the first recruitment information corresponding to the position to be recruited to each recruitment website in the first group of recruitment websites.

In some embodiments, for the specific implementation form of step 204, reference may be made to the detailed descriptions in other embodiments in the present disclosure, and details are not repeated here.

Step 205: Take a screenshot of the current page of each recruitment website in the first group of recruitment websites and save it.

In the embodiment of the present disclosure, after the RPA robot publishes the first recruitment information corresponding to the position to be recruited to the first group of recruitment websites, in order to determine whether the first recruitment information corresponding to the position to be recruited is successfully published to the first group of recruitment websites, The recruitment information release interface of each recruitment website in the first group of recruitment websites may be further screenshotted and saved, and then the release result of the first recruitment information may be judged according to the screenshot.

Step 206: calling OCR to analyze the screenshot corresponding to each recruitment website in the first group of recruitment websites, so as to determine the release result of the first recruitment information in the first group of recruitment websites.

It can be understood that after obtaining the screenshot of the current page of each recruitment website in the first group of recruitment websites, the OCR technology can be called to identify the screenshot to obtain the characters contained in the screenshot, and then determine the first page according to the characters in the screenshot. Whether the recruitment information is successfully posted to each recruitment website in the first group of recruitment websites.

In some embodiments, the publishing results may include publishing success and publishing failure.

Step 207: Return the publishing result to the client.

It can be understood that after the RPA robot determines the release result of the recruitment information, it can return the release result to the client, so that the human resources management staff can determine the release result of the recruitment information through the client.

In some embodiments, the RPA robot can also return the publishing result to the designated mailbox. The specified mailbox may be a mailbox of a human resources management staff member, which is not limited in this disclosure.

In the embodiment of the present disclosure, the recruitment information publishing instruction is first received, and then according to the identification of each post to be recruited, the first recruitment information corresponding to each post to be recruited is obtained from the recruitment information data set, and according to each The identification of the recruitment website, obtain the RPA release process corresponding to each recruitment website in the first group of recruitment websites from the release information data set, and then execute the RPA release process corresponding to each recruitment website in the first group of recruitment websites in order to Publish the first recruitment information corresponding to the position to each recruitment website in the first group of recruitment websites, and finally take a screenshot of the current page of each recruitment website in the first group of recruitment websites and save it, and call the optical character recognition OCR to analyze the screenshot , to determine the release result of the recruitment information corresponding to the position to be recruited, and return the release result to the client. As a result, the RPA robot can publish the recruitment information of the job positions that need to be released on the corresponding recruitment website in turn according to the release process corresponding to each recruitment website, and can also return the release results to the client, which not only saves human resources , improve the efficiency of the release of recruitment information, and also enable human resource management staff to determine the release results in time.

Fig. 3 is a schematic flowchart of a method for publishing recruitment information based on RPA and AI provided by another embodiment of the present disclosure.

As shown in FIG. 3 , the method for publishing recruitment information based on RPA and AI includes the following steps 301 to 304 .

Step 301: In response to receiving a position information update instruction, call the natural language processing service NLP to process the update instruction, so as to determine the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites.

In some embodiments, the second group of recruitment websites includes at least one recruitment website. In a specific embodiment, the second group of recruitment websites may include recruitment website A; the second group of recruitment websites may include recruitment website A, recruitment website B, and recruitment website C.

It should be noted that the recruitment websites included in the second group of recruitment websites may be the same as or different from the recruitment websites included in the first group of recruitment websites. The present disclosure does not limit this.

In a specific embodiment, the first group of recruitment websites includes recruitment website A and recruitment website B; the second group of recruitment websites may include recruitment website A and recruitment website B. In another specific embodiment, the second group of recruitment websites may also include recruitment websites A, recruitment websites B, and recruitment websites C.

It is understandable that after publishing the first recruitment information of the position to be recruited to the first group of recruitment websites, the human resource managers of the enterprise may update the recruitment information in the recruitment information data set, for example, change the "sales position" of " Educational requirements", and then send job information update instructions to the RPA robot through the client or the dialogue robot, so that the RPA robot can update the published recruitment information based on the updated recruitment information.

In some embodiments, the position information update instruction received by the RPA robot includes the identification of the recruitment position to be updated and the identification of each recruitment position in the second group of recruitment websites. Therefore, after the RPA robot receives the position information update instruction, NLP may be called to process the post information update instruction to determine the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites.

In some embodiments, the style or presentation form of the identification of the recruitment position to be updated can be set in advance, for example, it can be "position A", "position B" and so on, which is not limited in the present disclosure.

In some embodiments, the second group of recruitment websites may be recruitment websites that have published recruitment information corresponding to the recruitment position to be updated. In some embodiments, the recruitment position to be updated is "software testing engineer", and each recruitment website in the second group of recruitment websites has released the recruitment information of "software testing engineer".

In some embodiments, the identification style or presentation form of each recruitment website in the second group of recruitment websites can be set in advance, such as "website 1", "website 2" and so on, which is not discussed in this disclosure. Do limited.

In some embodiments, the position information update instruction may include one or more identifications of the recruitment positions to be updated, which is not limited in the present disclosure.

In some embodiments, the positions to be recruited included in the position information update instruction are identified as "position A" and "position B", and the identifications of each recruitment website in the second group of recruitment websites are "site 1" and "site 2". . That is, the RPA robot needs to analyze the "job A" and "website B" published "job information" based on the updated job information corresponding to "job A" and the updated job information corresponding to "job B" contained in the job information data set. The recruitment information of Position A" and "Position B" will be updated.

Step 302: Obtain second recruitment information corresponding to the recruitment position to be updated from the recruitment information data set according to the identification of the recruitment position to be updated.

In some embodiments, the human resources managers of the enterprise can update the recruitment information contained in the recruitment information data set, so that the recruitment requirements for the recruitment positions can be adjusted in a timely manner.

It is understandable that after the RPA robot obtains the identification of the recruitment position to be updated from the received job information update instruction, it can obtain the recruitment position to be updated from the updated recruitment information data set according to the identification of the recruitment position to be updated The corresponding updated second recruitment information.

Step 303: According to the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites, obtain the published third recruitment information corresponding to the identification of the recruitment position to be updated from the second group of recruitment websites .

It can be understood that, since each recruitment website in the second group of recruitment websites can contain a variety of recruitment information, the RPA obtains each of the second group of recruitment websites from the received position information update instruction. After the identification of the recruitment website, based on the identification of the recruitment position to be updated, the published third recruitment information corresponding to the updated recruitment position can be obtained from a large amount of recruitment information contained in each recruitment website of the second group of recruitment websites.

Step 304: Update the third recruitment information according to the second recruitment information.

It should be noted that after the RPA robot obtains the second recruitment information and the third recruitment information, it can update the published third recruitment information according to the second recruitment information.

In some embodiments, the RPA robot can directly replace the third recruitment information published on the second recruitment website with the second recruitment information.

In some embodiments, the RPA robot can also determine the content that needs to be updated in the third recruitment information according to the second recruitment information, and then only update the content that needs to be updated.

In some embodiments, the second recruitment information is compared with the third recruitment information, the academic requirement of the third recruitment information is "undergraduate", and the educational requirement of the second recruitment information is "master", then the second recruitment information can be It is sufficient to update the academic qualification requirement to "Master's".

In the embodiment of the present disclosure, when the position information update command is received, NLP may be called to process the update command, so as to determine the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites, and then According to the identification of the recruitment position to be updated, obtain the second recruitment information corresponding to the recruitment position to be updated from the recruitment information data set, according to the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites, from The published third recruitment information corresponding to the identification of the recruitment position to be updated is obtained from the second group of recruitment websites, and finally the third recruitment information is updated according to the second recruitment information. Thus, the third recruitment information that has been released by the job post to be updated can be updated according to the updated second recruitment information corresponding to the job post to be updated, so that not only the job information can be updated in a timely manner, but also human resources can be saved. , improving the update efficiency of recruitment information.

In order to realize the above embodiments, the present disclosure also proposes an RPA and AI-based recruitment information publishing device.

Fig. 4 is a schematic structural diagram of an RPA and AI-based recruitment information release device provided by an embodiment of the present disclosure.

As shown in FIG. 4 , the apparatus 400 for publishing recruitment information based on RPA and AI includes: a first receiving module 410 , a first obtaining module 420 , a second obtaining module 430 and a publishing module 440 .

The first receiving module 410 is configured to receive a recruitment information release instruction, wherein the recruitment information release instruction includes the identification of the position to be recruited and the identification of each recruitment website in the first group of recruitment websites, and the first group of recruitment websites contains at least one Job site.

The first acquiring module 420 is configured to acquire the first recruitment information corresponding to the position to be recruited from the recruitment information data set according to the identification of each position to be recruited.

The second obtaining module 430 is configured to obtain the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites from the release information data set according to the identification of each recruitment website in the first group of recruitment websites.

The publishing module 440 is configured to sequentially execute the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites, so as to publish the first recruitment information corresponding to the position to be recruited to each recruitment website in the first group of recruitment websites.

In one embodiment, the device 400 further includes a first determining module, specifically for:

Take a screenshot of the current page of each recruitment website in the first group of recruitment websites and save it;

Invoking optical character recognition OCR to analyze the screenshot corresponding to each recruitment website in the first group of recruitment websites, so as to determine the release result of the first recruitment information in the first group of recruitment websites; and

Return the publishing result to the client.

In one embodiment, the device 400 further includes:

The second receiving module is used to receive the recording instruction, wherein the recording instruction includes the identification of each recruitment website in the first group of recruitment websites;

The recording module is used to start the recording, so as to obtain the operation data of posting the recruitment information on the first group of recruitment websites;

A generation module, configured to process the operational data to generate an RPA publishing process corresponding to each recruitment website in the first group of recruitment websites; and

The storage module is used for associating and storing the identification of each recruitment website in the first group of recruitment websites and the corresponding RPA release process into the release information data set.

In one implementation manner, the first receiving module 410 is specifically used for:

Receive the recruitment information release instruction sent by the client;

or,

Receive the recruitment information publishing instruction sent by the chat robot.

In one embodiment, the device 400 further includes:

The second determination module is configured to call the natural language processing service NLP to process the update instruction in response to receiving the post information update instruction, so as to determine the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites , wherein, at least one recruitment website is included in the second group of recruitment websites;

The third acquisition module is used to obtain the second recruitment information corresponding to the recruitment position to be updated from the recruitment information data set according to the identification of the recruitment position to be updated;

The fourth acquisition module is used to obtain the published job information corresponding to the logo of the recruitment post to be updated from the second group of recruitment websites according to the logo of the job post to be updated and the logo of each recruitment website in the second group of recruitment websites. third job postings; and

An update module, configured to update the third recruitment information according to the second recruitment information.

It should be noted that, the functions and specific implementation principles of the above-mentioned modules in the embodiments of the present disclosure may refer to the above-mentioned method embodiments, which will not be repeated here.

The business processing device based on RPA and AI provided by the embodiments of the present disclosure first receives the recruitment information release instruction, and then obtains the first recruitment information corresponding to each job to be recruited from the recruitment information data set according to the identification of each job to be recruited, According to the identification of each recruitment website in the first group of recruitment websites, obtain the RPA release process corresponding to each recruitment website in the first group of recruitment websites from the release information data set, and finally execute the corresponding The RPA publishing process is used to publish the first recruitment information corresponding to the position to be recruited to each recruitment website in the first group of recruitment websites. As a result, the RPA robot can publish the recruitment information of the recruitment positions that need to be released on the corresponding recruitment websites in sequence according to the RPA release process corresponding to each recruitment website, which not only saves human resources, but also improves the efficiency of the release of recruitment information .

In order to realize the above-mentioned embodiments, the present disclosure also provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the program, the foregoing embodiments of the present disclosure are implemented. The proposed recruitment information release method based on RPA and AI.

FIG. 5 is a schematic diagram of a hardware structure of an electronic device provided by an embodiment of the present disclosure. As shown in FIG. 5 , the electronic device 500 includes: a memory 510 and a processor 520 , and the memory 510 stores computer programs that can run on the processor 520 . When the processor 520 executes the computer program, it realizes the RPA and AI-based recruitment information publishing method in the above-mentioned embodiments. The number of memory 510 and processor 520 may be one or more.

This electronic device also includes:

The communication interface 530 is used for communicating with external devices for interactive data transmission.

If the memory 510, the processor 520, and the communication interface 530 are implemented independently, the memory 510, the processor 520, and the communication interface 530 may be connected to each other through a bus to complete mutual communication. The bus can be an Industry Standard Architecture (Industry Standard Architecture, ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (Extended Industry Standard Architecture, EISA) bus, etc. The bus can be divided into address bus, data bus, control bus and so on. For ease of representation, only one thick line is used in FIG. 5 , but it does not mean that there is only one bus or one type of bus.

In some embodiments, if the memory 510, the processor 520, and the communication interface 530 are integrated on one chip, the memory 510, the processor 520, and the communication interface 530 may communicate with each other through an internal interface.

The present disclosure also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the method for publishing recruitment information based on RPA and AI as proposed in the foregoing embodiments of the present disclosure is implemented.

The present disclosure also provides a computer program product, including a computer program. When the computer program is executed by a processor, the method for publishing recruitment information based on RPA and AI as proposed in the foregoing embodiments of the present disclosure is implemented.

The present disclosure also provides a computer program, including computer program code. When the computer program code is run on a computer, the computer executes the RPA and AI-based recruitment information publishing method proposed in the foregoing embodiments of the present disclosure.

It should be understood that the above-mentioned processor can be a central processing unit (Central Processing Unit, CPU), and can also be other general-purpose processors, digital signal processing (digital signal processing, DSP), application specific integrated circuit (application specific integrated circuit, ASIC), field programmable gate array (fieldprogrammablegate array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or any conventional processor or the like. It should be noted that the processor may be a processor supporting advanced RISC machines (ARM) architecture.

In some embodiments, the above-mentioned memory may include a read-only memory and a random access memory, and may also include a non-volatile random access memory. The memory can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. Among them, the non-volatile memory can include read-only memory (read-only memory, ROM), programmable read-only memory (programmable ROM, PROM), erasable programmable read-only memory (erasable PROM, EPROM), electrically programmable Erases programmable read-only memory (electrically EPROM, EEPROM) or flash memory. Volatile memory can include random access memory (RAM), which acts as external cache memory. By way of illustration and not limitation, many forms of RAM are available. For example, static random access memory (static RAM, SRAM), dynamic random access memory (dynamic random access memory, DRAM), synchronous dynamic random access memory (synchronous DRAM, SDRAM), double data rate synchronous dynamic random access Memory (double data date SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous connection dynamic random access memory (synchlink DRAM, SLDRAM) and direct memory bus random access memory (direct rambus) RAM, DR RAM).

In the above embodiments, all or part of them may be implemented by software, hardware, firmware or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. A computer program product includes one or more computer instructions. When computer program instructions are loaded and executed on a computer, the processes or functions according to the present disclosure are produced in whole or in part. A computer can be a general purpose computer, special purpose computer, computer network, or other programmable device. Computer instructions may be stored in, or transmitted from, one computer-readable storage medium to another computer-readable storage medium.

In the description of this specification, descriptions referring to the terms "one embodiment", "some embodiments", "example", "specific examples", or "some examples" mean that specific features described in connection with the embodiment or example , structure, material or characteristic is included in at least one embodiment or example of the present disclosure. Furthermore, the described specific features, structures, materials or characteristics may be combined in any suitable manner in any one or more embodiments or examples. In addition, those skilled in the art can combine and combine different embodiments or examples and features of different embodiments or examples described in this specification without conflicting with each other.

In addition, the terms "first" and "second" are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance or implicitly specifying the quantity of indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of these features. In the description of the present disclosure, "plurality" means two or more, unless otherwise specifically defined.

Any process or method descriptions in flowcharts or otherwise described herein may be understood to represent modules, segments or portions of code comprising one or more executable instructions for implementing specific logical functions or steps of the process . Also, the scope of preferred embodiments of the present disclosure includes alternative implementations in which functions may be performed out of the order shown or discussed, including substantially concurrently or in reverse order as the functions involved are involved.

The logic and/or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium, For use with instruction execution systems, devices, or devices (such as computer-based systems, systems including processors, or other systems that can fetch instructions from instruction execution systems, devices, or devices and execute instructions), or in conjunction with these instruction execution systems, devices or equipment used.

It should be understood that various parts of the present disclosure may be implemented in hardware, software, firmware or a combination thereof. In the embodiments described above, various steps or methods may be implemented by software or firmware stored in memory and executed by a suitable instruction execution system. All or part of the steps of the method in the above embodiments can be completed by instructing related hardware through a program. The program can be stored in a computer-readable storage medium. When the program is executed, it includes one of the steps of the method embodiment or its combination.

In addition, each functional unit in each embodiment of the present disclosure may be integrated into one processing module, each unit may exist separately physically, or two or more units may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules. If the above-mentioned integrated modules are implemented in the form of software function modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. The storage medium may be a read-only memory, a magnetic disk or an optical disk, and the like.

The above is only a specific embodiment of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any person familiar with the technical field can easily think of various changes or modifications within the technical scope of the present disclosure. Replacement, these should be covered within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure should be determined by the protection scope of the claims.

Claims (14)

1. A method for publishing recruitment information based on robotic process automation RPA and artificial intelligence AI, applied to RPA robots, said method comprising:

   Receiving a recruitment information release instruction, wherein the recruitment information release instruction includes the identification of the position to be recruited and the identification of each recruitment website in the first group of recruitment websites, and the first group of recruitment websites includes at least one recruitment website;

   According to the identification of the position to be recruited, the first recruitment information corresponding to the position to be recruited is obtained from the recruitment information data set;

   According to the identification of each recruitment website in the first group of recruitment websites, the RPA release process corresponding to each recruitment website in the first group of recruitment websites is obtained from the release information data set; and

   Executing the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites in sequence, so as to publish the first recruitment information corresponding to the position to be recruited to each recruitment website in the first group of recruitment websites.
2. The method according to claim 1, wherein the RPA release process corresponding to each recruitment website in the first group of recruitment websites is executed sequentially to release the first recruitment information corresponding to the position to be recruited to the After each job site in the first set of job sites, the method further includes:

   Screenshot and save the current page of each recruitment website in the first group of recruitment websites;

   Invoking optical character recognition OCR to analyze the screenshot corresponding to each recruitment website in the first group of recruitment websites, so as to determine the release result of the first recruitment information in the first group of recruitment websites; and

   returning the publishing result to the client.
3. The method according to claim 1 or 2, wherein, according to the identification of each recruitment website in the first group of recruitment websites, each recruitment website in the first group of recruitment websites is obtained from the release information data set Before the corresponding RPA release process, the method also includes:

   receiving a recording instruction, wherein the recording instruction includes the identification of each recruitment website in the first group of recruitment websites;

   initiating a recording to obtain data on the operation of posting a job posting on said first set of job sites;

   Processing the operation data to generate an RPA publishing process corresponding to each recruitment website in the first group of recruitment websites; and

   The identifier of each recruitment website in the first group of recruitment websites and the corresponding RPA release process are associated and stored in the release information data set.
4. The method according to any one of claims 1-3, wherein said receiving a recruitment information publishing instruction comprises:

   receiving the recruitment information release instruction sent by the client;

   or,

   The recruitment information posting instruction sent by the dialogue robot is received.
5. The method of any one of claims 1-4, further comprising:

   In response to receiving the position information update instruction, call the natural language processing service NLP to process the update instruction, so as to determine the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites, wherein the The second group of recruitment websites contains at least one recruitment website;

   Acquiring second recruitment information corresponding to the recruitment post to be updated from the recruitment information data set according to the identification of the recruitment post to be updated;

   According to the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites, obtain the published information corresponding to the identification of the recruitment position to be updated from the second group of recruitment websites The third recruitment information of ; and

   The third recruitment information is updated according to the second recruitment information.
6. A device for publishing recruitment information based on RPA and AI, including:

   The first receiving module is used to receive the recruitment information release instruction, wherein the recruitment information release instruction includes the identification of the position to be recruited and the identification of each recruitment website in the first group of recruitment websites, and the first group of recruitment websites Contains at least one job site;

   The first acquisition module is used to obtain the first recruitment information corresponding to the position to be recruited from the recruitment information data set according to the identification of each position to be recruited;

   The second acquisition module is used to obtain the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites from the release information data set according to the identification of each recruitment website in the first group of recruitment websites; and

   A publishing module, configured to sequentially execute the RPA publishing process corresponding to each recruitment website in the first group of recruitment websites, so as to publish the first recruitment information corresponding to the position to be recruited to each of the first group of recruitment websites recruitment site.
7. The device according to claim 6, further comprising a first determination module configured to:

   Screenshot and save the current page of each recruitment website in the first group of recruitment websites;

   Invoking optical character recognition OCR to analyze the screenshot corresponding to each recruitment website in the first group of recruitment websites, so as to determine the release result of the first recruitment information in the first group of recruitment websites; and

   returning the publishing result to the client.
8. The device according to claim 6 or 7, further comprising:

   The second receiving module is configured to receive a recording instruction, wherein the recording instruction includes the identification of each recruitment website in the first group of recruitment websites;

   A recording module, configured to start recording, so as to obtain operation data for posting recruitment information on the first group of recruitment websites;

   A generating module, configured to process the operational data to generate an RPA publishing process corresponding to each recruitment website in the first group of recruitment websites; and

   A storage module, configured to associate and store the identifier of each recruitment website in the first group of recruitment websites and the corresponding RPA release process into the release information data set.
9. The device according to any one of claims 6-8, wherein the first receiving module is used for:

   receiving the recruitment information release instruction sent by the client;

   or,

   The recruitment information posting instruction sent by the dialogue robot is received.
10. The apparatus according to any one of claims 6-9, further comprising:

    The second determination module is configured to call the natural language processing service NLP to process the update instruction in response to receiving the post information update instruction, so as to determine the identity of the recruitment post to be updated and each recruitment website in the second group of recruitment websites , wherein the second group of recruitment websites includes at least one recruitment website;

    The third obtaining module is used to obtain the second recruitment information corresponding to the recruitment position to be updated from the recruitment information data set according to the identification of the recruitment position to be updated;

    The fourth acquisition module is used to obtain the recruitment information to be updated from the second group of recruitment websites according to the identification of the recruitment position to be updated and the identification of each recruitment website in the second group of recruitment websites. The published third recruitment information corresponding to the identification of the position; and

    An update module, configured to update the third recruitment information according to the second recruitment information.
11. An electronic device, comprising: a memory, a processor, and a program stored on the memory and operable on the processor, when the processor executes the program, the process described in any one of claims 1-5 is realized Recruitment information release method based on RPA and AI.
12. A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the method for publishing recruitment information based on RPA and AI according to any one of claims 1-5 is realized.
13. A computer program product, comprising a computer program, which, when executed by a processor, implements the RPA and AI-based recruitment information publishing method according to any one of claims 1-5.
14. A computer program, comprising computer program code, when the computer program code is run on the computer, the computer executes the RPA and AI-based recruitment information publishing method according to any one of claims 1-5.

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