CN117078220A

CN117078220A - Recruitment service method and device based on AI, electronic equipment and storage medium

Info

Publication number: CN117078220A
Application number: CN202311117975.8A
Authority: CN
Inventors: 王猛; 李婷婷; 沈成龙; 李忠
Original assignee: Beijing 58 Information Technology Co Ltd
Current assignee: Beijing 58 Information Technology Co Ltd
Priority date: 2023-08-31
Filing date: 2023-08-31
Publication date: 2023-11-17

Abstract

The embodiment of the application provides an AI-based recruitment service method, an AI-based recruitment service device, electronic equipment and a storage medium. In the embodiment of the application, the AI service module can respond to the post selection operation of the recruitment terminal, determine the target post information and display the target post telephone configuration interface, and respond to the configuration operation of the answer information screening options corresponding to any question telephone information, determine the answer information screening conditions corresponding to any question telephone information and used for screening job seekers. The AI service module simulates recruitment terminals and at least one job seeker to provide interactive services for target post information, and collects a plurality of answer information in the interaction process; further, according to the answer information screening conditions, the target job seeker matched with the target post information is screened, namely the target job seeker is screened, and the selection efficiency of the recruiter for selecting the adaptive job seeker is improved.

Description

Recruitment service method and device based on AI, electronic equipment and storage medium

Technical Field

The application relates to the technical field of artificial intelligence, in particular to an AI-based recruitment service method, an AI-based recruitment service device, electronic equipment and a storage medium.

Background

The recruitment platform can enable recruiters to issue talent demand position information, and meanwhile, job seekers can upload personal resumes. The recruitment unit can actively contact the job seeker who meets the recruitment condition. In the whole process, recruiters need to face communication and resources of a large number of job seekers, and the selection efficiency of the job seekers by the recruiters is low.

Disclosure of Invention

The application provides an AI-based recruitment service method, an AI-based recruitment service device, electronic equipment and a storage medium, which are used for improving the selection efficiency of recruiters for selecting adaptive job seekers.

The embodiment of the application provides an AI-based recruitment service method, which is applied to an AI service module for providing recruitment services for recruitment terminals and job hunting terminals, and comprises the following steps: determining target post information in response to post selection operation of the recruitment terminal; displaying a speaking configuration interface of the target post information, wherein the speaking configuration interface is provided with a plurality of question and speaking information matched with the target post information and answer information screening options corresponding to each question and speaking information; responding to the configuration operation of answer information screening options corresponding to any question and call information, and determining answer information screening conditions corresponding to any question and call information and used for screening job seekers; according to the plurality of question and call information, the simulated recruitment terminal interacts with at least one job hunting terminal aiming at the target post information, and collects a plurality of answer information provided by at least one job hunting terminal aiming at the plurality of question and call information in the interaction process; screening target job seekers matched with the target post information from at least one job seeker according to the answer information screening conditions and the answer information; and establishing an interaction channel between the target job hunting terminal and the recruitment terminal, and controlling the target job hunting terminal and the recruitment terminal to perform subsequent interaction related to recruitment through the interaction channel.

The embodiment of the application also provides an AI-based recruitment service device, which comprises: the system comprises a first determining module, a display module, a second determining module, a simulation module, a collecting module, a screening module and an interaction module; wherein,

the first determining module is used for responding to the post selection operation of the recruitment terminal and determining target post information; the display module is used for displaying a speaking configuration interface of the target post information, and a plurality of question and speaking information matched with the target post information and answer information screening options corresponding to each question and speaking information are displayed on the speaking configuration interface; the second determining module is used for responding to the configuration operation of answer information screening options corresponding to any piece of question and speech information and determining answer information screening conditions corresponding to any piece of question and speech information and used for screening job seekers; the simulation module is used for simulating interaction between the recruitment terminal and at least one job-seeking terminal aiming at the target post information according to the plurality of pieces of problem call information, and collecting a plurality of pieces of answer information provided by the at least one job-seeking terminal aiming at the plurality of pieces of problem call information in the interaction process through the collecting module; the screening module is used for screening target job seekers matched with the target post information from at least one job seeker according to the answer information screening conditions and the answer information; and establishing an interaction channel between the target job hunting terminal and the recruitment terminal through the interaction module, and controlling the target job hunting terminal and the recruitment terminal to carry out subsequent interaction related to recruitment through the interaction channel.

The embodiment of the application also provides electronic equipment, which comprises: a memory and a processor; a memory for storing a computer program; and a processor coupled to the memory for executing the computer program to perform the steps of the above method.

The embodiments of the present application also provide a computer-readable storage medium storing a computer program, which when executed by a processor causes the processor to implement the steps of the above method.

In the embodiment of the application, the AI service module can respond to the post selection operation of the recruitment terminal, determine the target post information and display the target post conversation configuration interface, respond to the configuration operation of the answer information screening item corresponding to any question conversation information, determine the answer information screening condition corresponding to any question conversation information and used for screening job seekers, so as to screen the target job seeker from at least one job seeker according to the answer information screening condition. And the AI service module simulates recruitment terminals and at least one job-seeking terminal to provide interactive service for the target post information according to the plurality of question-call information, and can collect a plurality of answer information provided by the at least one job-seeking terminal for the plurality of question-call information in the interaction process, so that the communication efficiency between the two terminals is improved. Further, according to the screening conditions corresponding to the answer information screening options for screening the job seekers corresponding to any one of the question and call operation information, the target job seeker matched with the target post information is screened out from at least one job seeker corresponding to a plurality of answer information, namely, the target job seeker is screened out, and the selection efficiency of the recruiter (recruiter) for selecting the adaptive job seeker (job seeker) is improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:

fig. 1 is a schematic structural diagram of an AI-based recruitment service system provided in an exemplary embodiment of the present application;

FIG. 2 is a schematic diagram of an interactive interface provided by an exemplary embodiment of the present application;

fig. 3 is a flowchart of an AI-based recruitment service method provided by an exemplary embodiment of the present application;

FIG. 4a is a schematic diagram of a post-job applicant screening interface provided in an exemplary embodiment of the present application;

FIG. 4b is a schematic view of a prompt pop-up window according to an exemplary embodiment of the present application;

FIG. 4c is a schematic illustration of a session configuration interface provided by an exemplary embodiment of the present application;

fig. 5 is a schematic structural diagram of an AI-based recruitment service apparatus provided in accordance with an exemplary embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.

It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region, and provide corresponding operation entries for the user to select authorization or rejection.

Aiming at the technical problems, in the embodiment of the application, the AI service module can respond to the post selection operation of the recruitment terminal, determine the target post information and display the target post conversation configuration interface, respond to the configuration operation of the answer information screening option corresponding to any question conversation information, and determine the answer information screening condition corresponding to any question conversation information and used for screening job seekers so as to screen the target job seeker from at least one job seeker according to the answer information screening condition. And the AI service module simulates recruitment terminals and at least one job-seeking terminal to provide interactive service for the target post information according to the plurality of question-call information, and can collect a plurality of answer information provided by the at least one job-seeking terminal for the plurality of question-call information in the interaction process, so that the communication efficiency between the two terminals is improved. Further, according to the screening conditions corresponding to the answer information screening options for screening the job seekers corresponding to any one of the question and call operation information, the target job seeker matched with the target post information is screened out from at least one job seeker corresponding to a plurality of answer information, namely, the target job seeker is screened out, and the selection efficiency of the recruiter (recruiter) for selecting the adaptive job seeker (job seeker) is improved.

A solution provided by the embodiments of the present application is described in detail below with reference to the accompanying drawings.

Fig. 1 is a schematic structural diagram of an AI-based recruitment service system provided in an exemplary embodiment of the present application. As shown in fig. 1, the system includes: recruiter 101, job seeker 102, and AI service module 103. The AI service module 103 is configured to provide recruitment interaction services for the recruiter 101 and the job seeker 102.

The recruitment interactive service refers to an interactive service related to recruitment, for example, a chat service or a short message service. The job hunting and recruitment may relate to the field of home, truck driver, rental, seller, moving, etc.

In the present embodiment, the deployment implementation of each end side is not limited. The recruiter 101 and the job seeker 102 may be deployed on a terminal device respectively. For example, a recruitment Application (APP) corresponding to the recruitment terminal 101 may be deployed on the terminal device, so as to implement deployment of the recruitment terminal 101 on the terminal device, and correspondingly, a job application APP corresponding to the job application terminal 102 may be deployed on the terminal device, so as to implement deployment of the job application terminal 102 on the terminal device. Alternatively, the recruitment APP and the job-seeking APP may be the same APP. In addition, the terminal devices that deploy the recruiter 101 and the job seeker 102 can communicate through the server device.

The deployment mode of the AI service module is not limited. The AI service module can be independently deployed on the service end device, can be distributed to terminal devices corresponding to the recruitment end 101 and the job application end 102, can be independently deployed on the terminal device corresponding to the recruitment end 101, or can be independently deployed on the terminal device corresponding to the job application end 102. Under the condition that the AI service module is deployed in the server device, communication between the AI service module and the recruitment terminal 101 and the job hunting terminal 102 can be realized based on communication connection between the server device and the terminal device.

In an alternative embodiment, the internal structure of the AI service module is not limited. An example is given below. The AI service module comprises a first AI service sub-module configured at the recruitment end and a second AI service sub-module configured at the job hunting end. Optionally, the first AI service sub-module may be disposed on a recruitment APP corresponding to the recruitment end, and the second AI service sub-module may be disposed on a job application APP corresponding to the job application end. A first AI service submodule to: under the condition that the job searching end initiates first interaction information to the recruitment end, recruitment interaction service is provided for the job searching end and the recruitment end; a second AI service sub-module for: and under the condition that the recruitment terminal initiates first interaction information to the job seeker, recruitment interaction service is provided for the job seeker and the recruitment terminal.

In this embodiment, the AI service module provides recruitment interaction services for the job hunting terminal and the recruitment terminal, and mainly includes two stages, and interaction in the first stage is mainly to simulate a process of information understanding between any one of the job hunting terminal and the recruitment terminal and the opposite terminal, so as to mainly perform bidirectional or unidirectional information understanding; the second stage of interaction mainly comprises further information interaction after job seeking users are matched with recruitment posts, and mainly comprises voice communication, interviewing and the like. The interaction mode at each stage is not limited, and any mode capable of enabling two ends to interact is applicable to the embodiments of the present application, for example, information interaction, voice interaction, phone call, weChat, third party instant messaging, email, etc. In this embodiment, for the interaction in the first stage, when any one of the recruitment end and the job hunting end initiates the interaction information to the opposite end, the AI service module may simulate the opposite end to answer the interaction information, so as to improve the interaction efficiency of the two ends. For convenience of distinguishing and description, in the case of the interactive information sent by any one of the recruitment terminal 101 and the job hunting terminal 102 to the opposite terminal, the interactive information sent by the any one of the opposite terminals is referred to as first interactive information, and the interactive information returned by the opposite terminal to the any one of the opposite terminals is referred to as second interactive information. The information form of the first interaction information and the second interaction information can be graphic information, question-answer pair information, a moving picture and link information carried by the card, and can also be voice information or voice interaction control and the like. For the job seeker, the AI service module may provide some preface services, for example, collect various recruitment information for the job seeker, and display the recruitment information on the interactive interface of the job seeker; the job seeker can select any recruitment information and then enter a conversation process of the recruitment end corresponding to the recruitment information. Similarly, for the recruitment end, the AI service module also provides corresponding precursor services, for example, collecting various job-seeking information for the recruitment user, and displaying the job-seeking information on an interactive interface of the recruitment end; the recruitment user can select any one of the job hunting information and then enter a session process of the job hunting terminal corresponding to the job hunting information. Besides the message mode of displaying recruitment information on an interactive interface in an Application (APP) and providing the recruitment information for job seekers, the interaction such as short messages or mails is also applicable.

For example, in fig. 2, the AI service module sends a recruitment to either end (e.g., the job seeker), and either end (e.g., the job seeker) clicks on the recruitment to enter into a chat interaction page with the opposite end (e.g., the recruiter), and the AI service module provides: the method comprises the steps that any end (such as a job-seeking end) responds to triggering operation of the control which is "chattable" and the control which is "chattable" to send first interaction information to an opposite end (such as a recruitment end), the first interaction information is implemented as "chattable", and the AI service module simulates that the opposite end (such as the recruitment end) returns second interaction information to the any end (such as the job-seeking end) in a popup window mode.

In this embodiment, the AI service module 103 may simulate the response of the peer to the first interaction information using an AI language model. The AI language model is not limited thereto. From the perspective of the technology employed by the AI language model, the types of AI language models include, but are not limited to: a supervised learning model, a semi-supervised learning model, an unsupervised learning model, a reinforcement learning model, a convolutional neural network (Convolutional Neural Networks, CNN) model, a recurrent neural network (Recurrent Neural Networks, RNN) model, a generative model, or an anomaly detection model, etc. From the function implemented by the AI language model, the AI language model includes, but is not limited to: natural language understanding models, image or video understanding models, chat models, intelligent customer service models, AI search engines, multimodal picture generation models, and the like. Further, the AI language model is implemented as: large language models (Large Language Model, LLM), which is a deep learning model trained using large amounts of text data, can generate natural language text or understand the meaning of language text. The large language model can process various natural language tasks such as text classification, question and answer, dialogue and the like, and is an important approach to artificial intelligence. Various models relating to embodiments of the present application are in accordance with relevant legal and standard regulations.

The above is a brief description of the system constituent structure of the present application and the functions of each structural module. Fig. 3 is a schematic diagram of an AI-based recruitment service method, which is applied to an AI service module for providing recruitment services for a recruiter and a job seeker, according to an embodiment of the present application. As shown in fig. 3, the AI-based recruitment service method includes:

301a, determining target post information in response to post selection operation of recruitment terminals;

302a, displaying a speaking configuration interface of target post information, wherein a plurality of question and speaking information matched with the target post information and answer information screening options corresponding to each question and speaking information are displayed on the speaking configuration interface;

303a, responding to the configuration operation of answer information screening options corresponding to any question and call information, and determining answer information screening conditions corresponding to any question and call information for screening job seekers;

304, establishing an interaction channel between the target job hunting terminal and the recruitment terminal;

301b, according to a plurality of pieces of problem ticket information, simulating interaction between a recruitment terminal and at least one job seeker for target post information, and collecting a plurality of pieces of answer information provided by at least one job seeker for a plurality of pieces of problem ticket information in the interaction process;

302b, screening target job seekers matched with the target post information from at least one job seeker according to the answer information screening conditions and the answer information;

303b, controlling the target job hunting terminal and the recruitment terminal to perform subsequent interaction related to recruitment through the interaction channel.

In the embodiment of the application, the target recruiter corresponds to the target recruiter, and the target job seeker corresponds to the target job seeker. As can be seen from the above system embodiments, the job hunting and recruiting side may be related to the field of home, shipping, moving, buying and selling, etc. Accordingly, in step 301a, multiple types of posts may be set for different fields. For example, in the field of home administration, posts include, but are not limited to: home caregivers, non-home caregivers, child-care, cleaning staff and worker protection. In the shipping field, posts include, but are not limited to: freight drivers, loaders. The field of moving, posts include, but are not limited to: a carrier, etc. Marketing areas, posts include, but are not limited to: sales clerks, cashiers. In the embodiment of the application, a post selection interface of the recruitment terminal is displayed, and the post selection operation can be performed based on the post selection interface of the recruitment terminal. The operation of position selection can be manually selected by a recruiter at the recruiter end according to actual recruitment requirements at a position selection interface at the recruiter end, or can be selected by an AI service submodule based on the recruitment requirements of the recruiter. Further, in response to a post selection operation at the recruiter, target post information may be determined. The target position information is position information corresponding to a position selection operation of the recruiter, for example, the target position information may be a position name, a position code, or the like. Specifically, when the selected target post is a net restraint driver, the target post information may be a net restraint driver or a post code of the net restraint driver.

The embodiment of the application is not limited to the specific implementation of determining the target position information in response to the position selection operation of the recruitment terminal. For example, the recruiter presents a post interface having a plurality of selectable posts thereon, and responsive to a selection of a target post therein, can determine post information corresponding to the target post. The above embodiments are merely exemplary and are not intended to limit the present application. More preferred embodiments may be found in the following description of examples, which are not repeated here.

In the embodiment of the application, different posts are correspondingly configured with different speaking information, the speaking information comprises question-answer speaking information, and each question-answer speaking information has corresponding answer information. Wherein the question and call information represents a number of questions related to the recruitment requirement of each station raised for each station to be recruited by the recruiter, the corresponding answer information represents an answer made by the recruiter to the questions of each station, and the questions related to the recruitment requirement of each station may be one or more.

Further, after the target post information is determined, a speaking configuration interface of the target post information can be displayed, and a plurality of question and speaking information matched with the target post information and answer information screening options corresponding to each question and speaking information are displayed on the speaking configuration interface. The answer information screening item corresponding to any one of the question and speech information represents a screening condition of answer information corresponding to each of the question and speech information, and each of the question and speech information may have a plurality of answer information screening conditions. The answer information screening items comprise non-limiting screening items and at least one limiting screening item, the non-limiting screening items are used for not limiting the reply information of the job seeker, the limiting screening items are used for limiting the reply information of the job seeker according to given limiting conditions, the limiting screening items are used for limiting the given limiting conditions of the answer information, the limiting conditions of the answer information are different, and the limiting conditions of the answer information are different in number and limiting condition content.

In the embodiment of the application, the specific implementation mode of the speaking configuration interface for displaying the target post information is not limited. For example, after determining the target post, the speaking data of the target post is acquired and displayed on the speaking configuration interface one by one or in the form of a drop-down menu. More preferred embodiments may be found in the following description of examples, which are not repeated here.

Further, the answer information screening conditions for screening job seekers corresponding to any one of the question and call information can be determined in response to the configuration operation of the answer information screening options corresponding to any one of the question and call information. When selecting any answer information screening item corresponding to the question and call information, if the recruitment terminal has no condition limitation on the answer information of the job hunting terminal, the recruitment terminal can select an unlimited item, and screen out all job hunting terminals answering the question and call information; if the recruitment terminal has conditional restriction on the answer information of the recruitment terminal, the recruitment terminal can select at least one restriction option according to the recruitment requirement of the recruitment terminal, and the recruitment terminal which accords with the at least one restriction option selected by the recruitment terminal is screened out of all the recruitment terminals which answer to the question and call information. That is, the restriction screen item is not mutually exclusive with the at least one restriction screen item.

Still taking the target post as the net taxi driver as an example, the net taxi driver's speaking configuration interface displays a plurality of question and speaking information which is matched with the target post information, such as "what is the driving age of you", "whether you have a qualification certificate", "what driving advantages you possess", "what vehicle sources you feel that you are very good, how interesting you are about our work", and so on. For the question call information of "what your driving age is", the at least one limiting option may be, in addition to the unlimited option, option one: 1-3 years, option two: 3-5 years, option three: 5-10 years, option four: 10-15 years, option five: 15-20 years, etc. For "you have the following credentials", in addition to the non-limiting option, at least one of its limiting options may be option one: c1 driver's license, option two: c2 driver license, option three: c3 driver's license, option four: c4 driver's license, and so on. When the recruitment terminal has no annual requirement for the driving age of the job hunting terminal, the recruitment terminal can select an unlimited option corresponding to the question-and-talk information of what the driving age is on the talk configuration interface so as to screen out all job hunting terminals which answer the question-and-talk information and specific resume information thereof. When the recruitment terminal has 5-10 years of driving age requirement for the job seeking terminal, the recruitment terminal can select 5-10 years of limiting options corresponding to the question-and-call information of 'what is your driving age' on the call configuration interface so as to screen out the job seeking terminal with the driving age of 5-10 years and specific resume information thereof, and the like. The above examples are merely illustrative, and do not limit the present application.

In the embodiment of the application, the plurality of question and call information is the basis of interaction between the recruitment terminal and at least one job seeker aiming at the target position information, and the recruitment terminal can reversely invite the at least one job seeker according to the plurality of question and call information so as to guide the at least one job seeker to make corresponding answer information aiming at the plurality of question and call information given by the recruitment terminal, thereby realizing interaction between the simulated recruitment terminal and the at least one job seeker aiming at the target position information. In addition, in the process that the recruitment terminal interacts with at least one job seeker, the AI service module can collect a plurality of answer information provided by the at least one job seeker for a plurality of question and talk information in the interaction process, so that the job seeker adapted to the requirement of the recruitment terminal can be selected according to the answer information of the at least one job seeker.

Further, after the answer information of the at least one recruitment terminal is collected, a target job hunting terminal adapted to the target post information can be screened from the at least one job hunting terminal according to the answer information screening condition and the plurality of answer information. And an interaction channel can be established between the recruitment end and the target job hunting end, and the recruitment end and the target job hunting end are controlled to carry out subsequent interaction related to recruitment through the interaction channel.

According to the technical scheme provided by the embodiments of the application, the AI service module can respond to the post selection operation of the recruitment terminal, determine the target post information and display the target post conversation configuration interface, respond to the configuration operation of the answer information screening options corresponding to any question conversation information, and determine the answer information screening conditions corresponding to any question conversation information and used for screening job seekers, so that the target job seeker can be screened out from at least one job seeker according to the answer information screening conditions. And the AI service module simulates recruitment terminals and at least one job-seeking terminal to provide interactive service for the target post information according to the plurality of question-call information, and can collect a plurality of answer information provided by the at least one job-seeking terminal for the plurality of question-call information in the interaction process, so that the communication efficiency between the two terminals is improved. Further, according to the screening conditions corresponding to the answer information screening options for screening the job seekers corresponding to any one of the question and call operation information, the target job seeker matched with the target post information is screened out from at least one job seeker corresponding to a plurality of answer information, namely, the target job seeker is screened out, and the selection efficiency of the recruiter (recruiter) for selecting the adaptive job seeker (job seeker) is improved.

In the embodiment of the application, the determining of the target position information in response to the position selection operation of the recruitment terminal comprises the following steps: displaying a post-job applicant screening interface, wherein post screening options and partial job applicant information are displayed on the post-job applicant screening interface; responsive to a configuration operation of the post screening item, a post list including at least one post information is presented, and responsive to a selection operation in the post list, the selected post information is determined to be the target post information. FIG. 4a is an exemplary post-job seeker screening interface in which a post screening option, an intelligent question-answer screening option, and a partial job seeker information list are presented, and a prompt pop-up is presented in response to a trigger operation of the intelligent question-answer screening option when any of the post screening options is not selected or when the "all positions" item in the post information screening option is selected. An exemplary display form of the popup window is shown in fig. 4b, the popup window is provided with related prompt information of 'please select a specific position first and then use intelligent question and answer screening' meaning, a position screening item and a confirmation control can also be arranged on the popup window, a position list comprising at least one position information is displayed in response to selection operation of the position screening item, the selected position information is determined to be target position information in response to selection in the position list and touch operation of the confirmation control, and the prompt popup window can be closed after the target position information is determined.

Accordingly, a speaking configuration interface for displaying target post information, comprising: under the condition that the target post information is determined, calling a telephone interface to acquire B2C telephone data corresponding to the target post information, wherein the B2C telephone data comprises a plurality of question telephone information matched with the target post information and answer information screening options corresponding to each question telephone information, displaying a telephone configuration interface of the target post information in a popup window mode, and displaying a plurality of question telephone information matched with the target post information and answer information screening options corresponding to each question telephone information on the telephone configuration interface. As shown in fig. 4c, the speaking configuration interface displays the target post information, a plurality of pieces of question and speaking information related to the target post information, serial numbers of the plurality of pieces of question and speaking information, answer information screening conditions for each piece of question and speaking information, and controls such as reset, confirmation and the like. The popup window for displaying the conversation configuration interface is displayed on the upper layer of the post-job seeker screening interface in a floating mode, and at the moment, all options and all buttons on the conversation configuration interface are in an operable state.

Still taking the example that the target post is the net-bound driver, the multiple pieces of question-and-talk information and answer information screening options which are displayed on the talk-and-talk configuration interface and adapted to the target post information can be referred to the related description of the above embodiments, and are not repeated here. In addition, after the answer information screening item is selected, responding to the triggering operation of the reset control, and restoring the selected answer information screening item to a to-be-selected state; or, responding to the triggering operation of the 'confirm' control, and screening out the adapted target job seeker according to the answer information screening conditions corresponding to the selected answer information screening items.

In the embodiment of the application, according to a plurality of pieces of problem ticket operation information, the interaction between the simulated recruitment terminal and at least one job seeker aiming at target post information comprises the following steps: under the condition that the recruitment end performs reverse solicitation on any job hunting end aiming at target position information and/or under the condition that any job hunting end actively initiates access to the recruitment end aiming at the target position information, generating first interaction information for interaction from the recruitment end to any job hunting end based on the AI language model according to the plurality of pieces of question and call information, sending the first interaction information to any job hunting end, and receiving answer information returned by any job hunting end aiming at the first interaction information.

Specifically, under the condition that the recruitment end reversely invites any job seeker aiming at target post information, generating first interaction information for interaction between the recruitment end and any job seeker based on the AI language model according to a plurality of pieces of problem conversation information, sending the first interaction information to any job seeker, and receiving response information returned by any job seeker aiming at the first interaction information. Or under the condition that any job seeker actively initiates access to the recruitment end aiming at the target post information, generating first interaction information for interaction between the recruitment end and any job seeker based on the AI language model according to the plurality of pieces of problem conversation information, sending the first interaction information to any job seeker, and receiving response information returned by any job seeker aiming at the first interaction information. Or under the condition that the recruitment end initiatively initiates access to the recruitment end aiming at the target post information and the target post information, generating first interaction information for interaction from the recruitment end to any job hunting end based on the AI language model according to the plurality of problem ticket operation information, sending the first interaction information to any job hunting end, and receiving response information returned by any job hunting end aiming at the first interaction information.

In the embodiment of the application, before the large language model is used, the language mode and the language rule are learned by pre-training a large amount of text data in the field, so that the capability of generating natural language is realized, and the large language model becomes a large language model with more characteristics in the field. The field mainly refers to the recruitment question-answering field, and a large amount of text data can relate to sample data in various recruitment fields such as home administration, freight car drivers, renting houses, selling houses of sellers, moving houses and the like. The main idea of the way natural language is generated based on a large language model is to take a given keyword (e.g. a word, a phrase or a sentence) as input and then generate a reasonable piece of text through the model as output. The generation process is realized through greedy Search or Beam Search algorithm.

The embodiment is not limited to the implementation of generating the first interaction information of the recruitment terminal to interact with any job seeker based on the AI language model according to the plurality of problem ticket information. For example, a plurality of question and speech information is used as key information and is input into a large language model, the large language model adds personified words such as question and speech words and worship words according to the key information to obtain an initial question sentence, and further, personification processing is carried out on the initial question sentence to obtain a natural question sentence, namely, first interactive information.

Still take the driving age of the net car driver as an example. For "your driving age is? "question call information, after inputting the key information into the large language model for processing, an exemplary result of the output is" please ask mr/ms how much your current driving age is, which is convenient for we to further understand. ". For another example, for "do you's source of vehicles? After the key information is input into the large language model for processing, an exemplary result of the output is that please ask mr/ms, and the source of the traffic tool is convenient for people to leak through, so that people can evaluate whether you are suitable for the post. ", etc.

In the embodiment of the present application, the plurality of pieces of problem call information further include first problem call information having selection branches, where the first problem call information includes guide calls corresponding to different selection branches. Wherein, the first interaction information corresponding to the first problem session information includes: the first question call information and the guide call corresponding to different selection branches of the first question call information are used for guiding any job seeker to answer and select. For example, in the problem ticket information "whether you have own vehicle" or not, "whether" is the first ticket information, wherein "yes" and "no" provide different selection branches. Under the condition that the job-seeking terminal has a vehicle, the answer information can be 'I have the vehicle and can take the vehicle on duty'; in the case that the job seeker does not have own vehicle, the answer information may be "i have no own vehicle and cannot take the vehicle on duty". Based on the above, according to the plurality of problem ticket operation information, first interaction information for interaction between the recruitment terminal and any job seeker is generated based on the AI language model, and the first interaction information comprises: in the process of interacting with any job seeker according to the first question call information, generating first interaction information corresponding to the first question call information according to the first question call information and the guide call corresponding to different selection branches of the first question call information.

Further optionally, after the recruitment end sends the first interaction information to any job seeker, if the job seeker replies untimely, the communication efficiency between the recruitment end and the job seeker is reduced, or slow negative experience may be generated for the recruitment end. In order to improve the communication efficiency between the recruitment terminal and the job hunting terminal and avoid the generation of bad communication impressions, timing can be started when the recruitment terminal sends the first interaction information to any job hunting terminal, and any job hunting terminal waits for returning response information aiming at the first interaction information before the timing reaches a set time threshold. And if the answer information returned by any job seeker cannot be received when the timing reaches the set time threshold, retransmitting the first interaction information until the transmission times reach the set times threshold, and replacing the other problem operation information to continuously interact with any job seeker under the condition that the transmission times of the first interaction information reach the set times threshold. Or if the timing reaches the set time threshold, the answer information returned by any job seeker cannot be received, and the corresponding job seeker of any job seeker is prompted to return the question-answer information in a prompting mode such as short message or telephone.

For example, assuming that the set time threshold is 30s and the set number of times threshold is 5, the recruiter will first interact with information such as "please ask mr/ms how old you are? "when sending to any job seeker, starting timing, if the answer information returned by any job seeker cannot be received when the timing time reaches 30s, retransmitting the first interactive information until the sending time reaches 5 times, and replacing another problem operation information when the sending time of the first interactive information reaches 5 times, such as" please ask mr/ms, do you have a vehicle source convenient to leak? "continue to interact with any job seeker". Or if the answer information returned by any job seeker cannot be received when the timing reaches 30 seconds, prompting the job seeker corresponding to any job seeker to return the question-answer information in a prompting mode such as short message or telephone.

In the embodiment of the application, in the actual business application, the existing problem ticket information may not meet the actual requirement or have problems. For example, there is a lack of some of the scene's problem-ticket information, or there is some of the problem-ticket information that is in existence that needs to be modified, or some of the existing ticket information is superfluous. In this regard, new problem art information may be added, existing problem art information may be deleted, and/or existing problem art information may be modified in response to the recruitment of the update operation of the problem art information. Accordingly, in practical business applications, existing answer information may not be able to meet the actual requirements or have questions. For example, there is a lack of answer information that is adapted to the question and speech information, or there is a question that requires modification of existing answer information, or existing answer information is superfluous. In this regard, new answer information may be added, existing answer information may be deleted, and/or existing question answer information may be modified in response to any job seeker update operations on answer information.

Similarly, when any job seeker needs to send out the problem call information to the recruiter, the existing problem call information may not meet the actual requirement or have a problem. For example, there is a lack of some of the scene's problem-ticket information, or there is some of the problem-ticket information that is in existence that needs to be modified, or some of the existing ticket information is superfluous. In this regard, any job-seeking terminal may be configured to respond to an update operation for the problem art information by adding new problem art information, deleting existing problem art information, and/or modifying existing problem art information. Accordingly, in practical business applications, existing answer information may not be able to meet the actual requirements or have questions. For example, there is a lack of answer information that is adapted to the question and speech information, or there is a question that requires modification of existing answer information, or existing answer information is superfluous. In this regard, new answer information may be added, existing answer information may be deleted, and/or existing question answer information may be modified in response to the recruitment end update operation of answer information.

For example, for newly added recruitment demand status related demands, any job seeker adds corresponding new problem ticket information such as "whether your company is direct recruitment or intermediately recruited? Is the post still in the post? "and" which platform you are, "etc. Correspondingly, for the increased problem call information related to the recruitment requirement state, the corresponding new answer information added to the recruiting end may be "we are platform direct recruitment". Currently also recruiting ", etc.

For another example, for the existing post salary issuing system related requirements, any job seeker adds corresponding new problem ticket information such as "how extracted is flow and salary? "," how long can be checked out? "and the like. Correspondingly, for the added question and call information related to the post pay issuing system, the corresponding recruitment end needs to modify the original answer information, for example, the method can be modified into that' the income of people can be presented on a platform every week, and the operation can be carried out as long as a bank card authenticated by the real name of the person is bound, and the recruitment end can generally check out within 24 hours.

For another example, any job seeker adds corresponding new problem ticket information to the requirements associated with poorly recorded questions replies, such as "whether a person can be trusted? ". Correspondingly, for the added question and call information related to the poorly recorded question and answer, the corresponding recruiter needs to modify the original answer information, for example, the original answer information can be modified into' only if a case bottom exists or the original answer information belongs to a belief-losing person, the examination of the question and call information cannot pass, and the recruiter has a sorry.

In some embodiments of the present application, during the interaction between the recruitment end and any job-seeking end, there may be some conversation information with a higher risk index, for example, abuse words, irony words, or words affecting the information security of the recruitment end and any job-seeking end, where the risk index is higher, or affects the interaction impression between the two ends, or threatens the information security of the two ends. In order to avoid the above problem, in this embodiment, a risk control policy for constraining the interaction information is further configured, and the AI service module may acquire a wind control policy, evaluate a risk level of the interaction information by using the wind control policy, and filter and delete the interaction information with a risk level exceeding a preset level.

In some embodiments of the present application, after the recruitment and any job seeker complete the information interaction with respect to the target post requirement and job seeker, the recruitment has a rough knowledge of the basic information of any job seeker, and if the job seeker is in accordance with the recruitment requirement of the recruitment, the recruitment is interested in the job seeker, and can send the job seeker a guide post, exchange contact information, or further interactive guide phone information to the job seeker so as to strive for a chance of cooperation between the two ends. For example, "feel you fit well in this position, then we have special people contact you, please keep you watch about the call-! "or" you really just fit our job, suggest you to consider ha, if there is any concern, you can throw a resume, I call you, we talk about-! ", etc. The guiding speaking information is also generated based on the AI language model, and for a specific implementation manner of the guiding speaking information generated based on the AI language model, reference may be made to the related description of the above embodiment, which is not repeated herein.

Therefore, the AI-based recruitment service method applied to the AI service module for providing the recruitment service for the recruitment terminal and the job seeker is completed by executing the steps, so that the selection efficiency of the recruiter for selecting the adaptive job seeker is improved.

After the target job hunting terminal is selected, taking the target job hunting terminal as an example, an interaction channel can be established between the target job hunting terminal and the recruitment terminal, and the target job hunting terminal and the recruitment terminal are controlled to carry out subsequent interaction related to recruitment through the interaction channel. The interaction channel is a channel for information interaction between the recruitment end and any job-seeking end, and the interaction channel is not limited, and may be, for example, a voice call, a video call, a call, or the like.

Optionally, an audio-video channel is respectively established between the job hunting terminal and the recruitment terminal through the AI service module, so that the audio-video channel is established between the job hunting terminal and the recruitment terminal, and the AI service module calls the job hunting terminal and the recruitment terminal respectively, so that under the condition that the call between the job hunting terminal and the recruitment terminal is connected, the job hunting terminal and the recruitment terminal are controlled to carry out audio-video communication related to recruitment through the audio-video channel.

For example, in the case that the matching degree meets the set matching degree requirement, the Ai service module calls the job hunting terminal and the recruitment terminal respectively, wherein the call mode is not limited. For example, the recruiter may be called first, and then the job seeker may be called; the recruitment terminal and the job hunting terminal can be called first and then the recruitment terminal can be called simultaneously. Under the condition that the matching degree meets the set matching degree requirement, the AI service module can call the recruitment end first, and under the condition that the recruitment end agrees to transfer the job hunting end, the AI service module calls the job hunting end, so that the recruitment end and the job hunting end are connected to perform subsequent interaction related to recruitment.

The call procedure is illustrated below: a) After the job seeking end is connected, voice is broadcasted: "hello [ job seeking user name ], i are AI assistants, see you are interested in the work of [ recruitment post name ], and now are convenient, can help you transfer calls and recruit ends chat, can do? Under the condition that the job hunting end replies "can", the AI service module outputs voice prompt to the job hunting end: "good, call is now forwarded for you. If the recruitment terminal is successfully switched, the two parties start a conversation; if the job-seeking end hangs up in the switching, the call is automatically ended; if the recruitment end is hung up/overtime is not connected in the switching, the prompt is output to the job hunting end: "inexhaustible, the counterpart may be busy, you later actively contact him by telephone. If the job seeker does not agree to transfer the call and replies "reject", the AI service module replies: "people's fine, you can watch post information again on APP after you, do not disturb the hash before you see it".

Optionally, if the AI service module initiates a call to the recruiter, the recruiter is busy, and calls again after a delay of a set time (e.g., 3 minutes).

In an optional embodiment, in a subsequent interaction process of controlling the job seeker and the recruiter to perform recruitment through the interaction channel, a call answering interface can be displayed on the interaction interface of the recruiter, and first notification information is displayed on the call answering interface for a recruiter to check; the first notification information includes at least one of: post information and job hunting user information.

In another optional embodiment, in a subsequent interaction process of controlling the job hunting terminal and the recruitment terminal to perform recruitment through the interaction channel, a call answering interface can be displayed on the interaction interface of the job hunting terminal, and second notification information is displayed on the call answering interface for the job hunting user to check; the second notification information includes at least one of: post information and recruiter information.

In yet another alternative embodiment, in a subsequent interaction process of controlling the job seeker and the recruiter to perform recruitment through the interaction channel, a call answering interface may be displayed on the interaction interface of the recruiter, the call answering interface may be displayed with first notification information, and at the same time, the call answering interface may be displayed on the interaction interface of the job seeker, and the call answering interface may be displayed with second notification information.

Optionally, after the recruitment end performs subsequent interaction related to recruitment with the recruitment end, short messages can be sent to the recruitment end and the recruitment end respectively to prompt the information related to recruitment of the recruiter and the recruiter.

Fig. 5 is an AI-based recruitment service provided in accordance with an exemplary embodiment of the present application. The device comprises: a first determining module 51, a display module 52, a second determining module 53, a simulation module 54, a collection module 55, a screening module 56, and an interaction module 57; wherein,

The first determining module is used for responding to the position selecting operation of the recruitment terminal and determining target position information; the display module is used for displaying a speaking configuration interface of the target post information, and a plurality of question and speaking information matched with the target post information and answer information screening options corresponding to each question and speaking information are displayed on the speaking configuration interface; the second determining module is used for determining answer information screening conditions corresponding to any question and call information and used for screening job seekers in response to configuration operation of answer information screening options corresponding to the any question and call information; and

the simulation module is used for simulating interaction between the recruitment terminal and at least one job-seeking terminal aiming at the target post information according to the plurality of problem call information, and collecting a plurality of answer information provided by the at least one job-seeking terminal aiming at the plurality of problem call information in the interaction process through the collection module; the screening module is used for screening a target job seeker matched with the target post information from the at least one job seeker according to the answer information screening conditions and the answer information, wherein the target job seeker corresponds to a target job seeker; and establishing an interaction channel between the target job hunting terminal and the recruitment terminal through the interaction module, and controlling the target job hunting terminal and the recruitment terminal to perform subsequent interaction related to recruitment through the interaction channel.

In an alternative embodiment, the first determining module is specifically configured to, when determining the target position information in response to the position selection operation of the recruiter: displaying a post-job seeker screening interface, wherein the post-job seeker screening interface displays post screening options and part of job seeker information; displaying a post list comprising at least one post information in response to a configuration operation of the post screening item, and determining the selected post information as target post information in response to a selection operation in the post list;

correspondingly, when the display module is used for displaying the speaking configuration interface of the target post information, the display module is specifically used for: under the condition that the target post information is determined, calling a telephone operation interface to obtain B2C telephone operation data corresponding to the target post information, wherein the B2C telephone operation data comprises a plurality of question telephone operation information matched with the target post information and answer information screening options corresponding to each question telephone operation information, a telephone operation configuration interface of the target post information is displayed in a popup window mode, and a plurality of question telephone operation information matched with the target post information and answer information screening options corresponding to each question telephone operation information are displayed on the telephone operation configuration interface.

In the embodiment of the application, the answer information screening item corresponding to any question and speech information comprises an unlimited screening item and at least one limiting screening item, wherein the unlimited screening item indicates that the answer information of the job seeker is unlimited, the limiting screening item indicates that the answer information of the job seeker is limited according to a given limiting condition, and different limiting screening items provide different limiting conditions for the answer information; the unrestricted screening item is mutually exclusive of at least one restricted screening item.

In an alternative embodiment, the simulation module is configured to, when configured to simulate the interaction between the recruitment end and the at least one job seeker for the target post information according to the plurality of problem ticket information, specifically: and under the condition that the recruitment end performs reverse solicitation on any job-seeking end aiming at the target position information and/or under the condition that any job-seeking end actively initiates access to the recruitment end aiming at the target position information, generating first interaction information for interaction of the recruitment end to any job-seeking end based on an AI language model according to the plurality of problem-speaking operation information, sending the first interaction information to the any job-seeking end, and receiving answer information returned by the any job-seeking end aiming at the first interaction information.

In the embodiment of the present application, the plurality of pieces of problem call information include first problem call information having selection branches, where the first problem call information includes guide calls corresponding to different selection branches. Correspondingly, when the simulation module is configured to generate, according to the plurality of problem ticket information, first interaction information for interaction between the recruitment end and the any job seeker based on the AI language model, the simulation module is specifically configured to: in the process of interacting with any job seeker according to the first problem call information, generating first interaction information corresponding to the first problem call information according to the first problem call information and the guide call corresponding to different selection branches of the first problem call information; wherein, the first interaction information corresponding to the first problem session information includes: and the first question and call operation information and the guide call operation corresponding to different selection branches of the first question and call operation information are used for guiding any job seeker to answer and select.

Further optionally, the method further comprises: the timing module is used for starting timing when the first interaction information is sent to any job hunting terminal, and waiting for the any job hunting terminal to return response information for the first interaction information before the timing reaches a set time threshold; and if the answer information returned by any job seeker cannot be received when the timing reaches the set time threshold, retransmitting the first interaction information until the transmission times reach the set times threshold, and replacing another piece of problem operation information to continue to interact with any job seeker under the condition that the transmission times of the first interaction information reach the set times threshold.

Further optionally, the method further comprises: and the updating module is used for responding to the operation of the recruitment end for updating the problem call information, adding new problem call information, deleting the existing problem call information and/or modifying the existing problem call information.

Further optionally, the method further comprises: the filtering module is used for acquiring a wind control strategy for restraining the interaction information and filtering out risk interaction information in the first interaction information according to the wind control strategy of the interaction information.

The detailed implementation and the beneficial effects of the module provided by the embodiments of the present application have been described in the foregoing embodiments, and will not be described in detail herein.

Fig. 6 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application, as shown in fig. 6, where the device includes: a memory 60a and a processor 60b.

Memory 60a is used to store computer programs and may be configured to store various other data to support operations on the electronic device. Examples of such data include instructions for any application or method operating on an electronic device, and the like.

A processor 60b coupled to the memory 60a for executing the computer program in the memory 60a for performing the steps of:

Determining target post information in response to post selection operation of the recruitment terminal; displaying a speaking configuration interface of the target post information, wherein the speaking configuration interface is provided with a plurality of question and speaking information matched with the target post information and answer information screening options corresponding to each question and speaking information; responding to configuration operation of answer information screening options corresponding to any question and call information, and determining answer information screening conditions of screening job seekers corresponding to any question and call information; and

simulating interaction between the recruitment terminal and at least one job hunting terminal aiming at the target post information according to the plurality of pieces of problem call information, and collecting a plurality of pieces of answer information provided by the at least one job hunting terminal aiming at the plurality of pieces of problem call information in the interaction process; screening target job seekers matched with the target post information from the at least one job seeker according to the answer information screening conditions and the plurality of answer information, wherein the target job seekers correspond to the target job seekers; and establishing an interaction channel between the target job hunting terminal and the recruitment terminal, and controlling the target job hunting terminal and the recruitment terminal to perform subsequent interaction related to recruitment through the interaction channel.

In an alternative embodiment, the processor 60b, when configured to determine the target position information in response to the position selection operation at the recruiter, is configured to: displaying a post-job seeker screening interface, wherein the post-job seeker screening interface displays post screening options and part of job seeker information; displaying a post list comprising at least one post information in response to a configuration operation of the post screening item, and determining the selected post information as target post information in response to a selection operation in the post list;

accordingly, the processor 60b, when used to present the target post information speaking configuration interface, is specifically configured to: under the condition that the target post information is determined, calling a telephone operation interface to obtain B2C telephone operation data corresponding to the target post information, wherein the B2C telephone operation data comprises a plurality of question telephone operation information matched with the target post information and answer information screening options corresponding to each question telephone operation information, a telephone operation configuration interface of the target post information is displayed in a popup window mode, and a plurality of question telephone operation information matched with the target post information and answer information screening options corresponding to each question telephone operation information are displayed on the telephone operation configuration interface.

In an alternative embodiment, the processor 60b is configured to simulate the recruiter interacting with at least one job seeker for the target post information based on the plurality of problem ticket information, and is configured to: and under the condition that the recruitment end performs reverse solicitation on any job-seeking end aiming at the target position information and/or under the condition that any job-seeking end actively initiates access to the recruitment end aiming at the target position information, generating first interaction information for interaction of the recruitment end to any job-seeking end based on an AI language model according to the plurality of problem-speaking operation information, sending the first interaction information to the any job-seeking end, and receiving answer information returned by the any job-seeking end aiming at the first interaction information.

In the embodiment of the present application, the plurality of pieces of problem call information include first problem call information having selection branches, where the first problem call information includes guide calls corresponding to different selection branches. Correspondingly, when the processor 60b is configured to generate, according to the plurality of problem call information, first interaction information for the recruitment end to interact with the any job seeker based on the AI language model, the processor is specifically configured to: in the process of interacting with any job seeker according to the first problem call information, generating first interaction information corresponding to the first problem call information according to the first problem call information and the guide call corresponding to different selection branches of the first problem call information; wherein, the first interaction information corresponding to the first problem session information includes: and the first question and call operation information and the guide call operation corresponding to different selection branches of the first question and call operation information are used for guiding any job seeker to answer and select.

Further optionally, the processor 60b is further configured to start timing when the first interaction information is sent to the any job seeker, and wait for the any job seeker to return answer information for the first interaction information before the timing reaches a set time threshold; and if the answer information returned by any job seeker cannot be received when the timing reaches the set time threshold, retransmitting the first interaction information until the transmission times reach the set times threshold, and replacing another piece of problem operation information to continue to interact with any job seeker under the condition that the transmission times of the first interaction information reach the set times threshold.

Further optionally, the processor 60b is further configured to add new problem art information, delete existing problem art information, and/or modify existing problem art information in response to the recruiter's update of the problem art information.

Further optionally, the processor 60b is further configured to obtain a wind control policy for constraining the interaction information, and filter risk interaction information in the first interaction information according to the wind control policy of the interaction information.

The detailed implementation and the beneficial effects of the device or the module provided by the embodiments of the present application have been described in the foregoing embodiments, and will not be described in detail herein.

Further, as shown in fig. 6, the electronic device further includes: communication component 60c, display 60d, power component 60e, audio component f, and other components. Only some of the components are schematically shown in fig. 6, which does not mean that the electronic device only comprises the components shown in fig. 6. In addition, the components within the dashed box in fig. 6 are optional components, not necessarily optional components, depending on the product form of the electronic device. The electronic device in this embodiment may be implemented as a terminal device such as a desktop computer, a notebook computer, a smart phone, or an IOT device, or may be a server device such as a conventional server, a cloud server, or a server array. If the electronic device of the embodiment is implemented as a terminal device such as a desktop computer, a notebook computer, a smart phone, etc., the electronic device may include components within the dashed line frame in fig. 6; if the electronic device of the embodiment is implemented as a server device such as a conventional server, a cloud server, or a server array, the components within the dashed box in fig. 6 may not be included.

The detailed implementation and the beneficial effects of the electronic device provided by the embodiments of the present application have been described in the foregoing embodiments, and will not be described in detail herein.

Accordingly, embodiments of the present application also provide a computer readable storage medium storing a computer program, where the computer program is capable of implementing each step in the above method, apparatus or electronic device embodiments when the computer program is executed.

The Memory may be implemented by any type or combination of volatile or non-volatile Memory devices, such as Static Random-Access Memory (SRAM), electrically erasable programmable Read-Only Memory (Electrically Erasable Programmable Read Only Memory, EEPROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.

The communication component is configured to facilitate wired or wireless communication between the device in which the communication component is located and other devices. The device where the communication component is located can access a wireless network based on a communication standard, such as a mobile communication network of WiFi,2G, 3G, 4G/LTE, 5G, etc., or a combination thereof. In one exemplary embodiment, the communication component receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In one exemplary embodiment, the communication component further includes a near field communication (Near Field Communication, NFC) module to facilitate short range communications. For example, the NFC module may be implemented based on radio frequency identification (Radio Frequency Identification, RFID) technology, infrared data association (Infrared Data Association, irDA) technology, ultra Wideband (UWB) technology, blueTooth (BT) technology, and other technologies.

The display includes a screen, which may include a liquid crystal display (Liquid Crystal Display, LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or sliding action, but also the duration and pressure associated with the touch or sliding operation.

The power supply component provides power for various components of equipment where the power supply component is located. The power components may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the devices in which the power components are located.

The audio component described above may be configured to output and/or input an audio signal. For example, the audio component includes a Microphone (MIC) configured to receive external audio signals when the device in which the audio component is located is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may be further stored in a memory or transmitted via a communication component. In some embodiments, the audio assembly further comprises a speaker for outputting audio signals.

It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, magnetic disk storage, CD-ROM (Compact Disc Read-Only Memory), optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one typical configuration, a computing device includes one or more processors (Central Processing Unit, CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random access memory (Random Access Memory, RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase-change memory (Phase-change Random Access Memory, PRAM), static Random Access Memory (SRAM), dynamic random access memory (Dynamic Random Access Memory, DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital versatile disks (Digital Video Disc, DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by the computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.

The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and variations of the present application will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. which come within the spirit and principles of the application are to be included in the scope of the claims of the present application.

Claims

1. The recruitment service method based on the AI is characterized by being applied to an AI service module for providing recruitment service for recruitment terminals and job seekers, and the method comprises the following steps:

2. The method of claim 1, wherein determining target position information in response to the position selection operation of the recruiter comprises:

displaying a post-job seeker screening interface, wherein the post-job seeker screening interface displays post screening options and part of job seeker information; displaying a post list comprising at least one post information in response to a configuration operation of the post screening item, and determining the selected post information as target post information in response to a selection operation in the post list;

accordingly, a speaking configuration interface for displaying the target post information comprises: under the condition that the target post information is determined, calling a telephone operation interface to obtain B2C telephone operation data corresponding to the target post information, wherein the B2C telephone operation data comprises a plurality of question telephone operation information matched with the target post information and answer information screening options corresponding to each question telephone operation information, a telephone operation configuration interface of the target post information is displayed in a popup window mode, and a plurality of question telephone operation information matched with the target post information and answer information screening options corresponding to each question telephone operation information are displayed on the telephone operation configuration interface.

3. The method of claim 1, wherein the answer information filtering item corresponding to any one of the question and speech information includes an unrestricted filtering item and at least one restricted filtering item, the unrestricted filtering item indicates that reply information of the job applicant is unrestricted, the restricted filtering item indicates that reply information of the job applicant is restricted according to a given restriction condition, and different restriction filtering items set restriction conditions for the answer information are different; the unrestricted screening item is mutually exclusive of at least one restricted screening item.

4. The method of claim 1, wherein simulating interaction of the recruiter with at least one job seeker for the target post information based on the plurality of problem ticket information comprises:

and under the condition that the recruitment end performs reverse solicitation on any job-seeking end aiming at the target position information and/or under the condition that any job-seeking end actively initiates access to the recruitment end aiming at the target position information, generating first interaction information for interaction of the recruitment end to any job-seeking end based on an AI language model according to the plurality of problem-speaking operation information, sending the first interaction information to the any job-seeking end, and receiving answer information returned by the any job-seeking end aiming at the first interaction information.

5. The method of claim 4, wherein the plurality of pieces of question-call information include first question-call information having selected branches, the first question-call information including guide-call corresponding to different selected branches;

generating first interaction information of interaction between the recruitment end and any job seeker based on the AI language model according to the plurality of problem ticket information, wherein the first interaction information comprises:

in the process of interacting with any job seeker according to the first problem call information, generating first interaction information corresponding to the first problem call information according to the first problem call information and the guide call corresponding to different selection branches of the first problem call information;

wherein, the first interaction information corresponding to the first problem session information includes: and the first question and call operation information and the guide call operation corresponding to different selection branches of the first question and call operation information are used for guiding any job seeker to answer and select.

6. The method as recited in claim 4, further comprising:

when the first interaction information is sent to any job seeker, starting timing, and waiting for the any job seeker to return response information for the first interaction information before the timing reaches a set time threshold; and

If the answer information returned by any job seeker cannot be received when the timing reaches the set time threshold, the first interaction information is retransmitted until the sending times reach the set times threshold, and under the condition that the sending times of the first interaction information reach the set times threshold, another piece of problem operation information is replaced to continuously interact with any job seeker.

7. The method of any one of claims 1-6, further comprising:

and responding to the recruitment end to update the problem call information, adding new problem call information, deleting the existing problem call information and/or modifying the existing problem call information.

8. The method of any one of claims 1-6, further comprising:

and acquiring an air control strategy for restraining the interaction information, and filtering risk interaction information in the first interaction information according to the air control strategy of the interaction information.

9. An AI-based recruitment service comprising: the system comprises a first determining module, a display module, a second determining module, a simulation module, a collecting module, a screening module and an interaction module; wherein,

10. An electronic device, comprising: a memory and a processor; the memory is used for storing a computer program; the processor, coupled to the memory, for executing the computer program to implement the steps in the method of any of claims 1-8.

11. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1-8.