CN117172732A

CN117172732A - Recruitment service system, method, equipment and storage medium based on AI

Info

Publication number: CN117172732A
Application number: CN202310956667.8A
Authority: CN
Inventors: 徐斌; 贺琳; 詹坤林; 齐会敏; 李忠; 郑楠
Original assignee: Beijing Wuba Ganji Information Technology Co ltd
Current assignee: Beijing Wuba Ganji Information Technology Co ltd
Priority date: 2023-07-31
Filing date: 2023-07-31
Publication date: 2023-12-05

Abstract

The embodiment of the application provides an AI-based recruitment service system, an AI-based recruitment service method, AI-based recruitment service equipment and a storage medium. In the embodiment of the application, the AI service module provides recruitment interaction service for the recruitment end and the job hunting end, and under the condition that any end initiates interaction information to the opposite end, the AI service module simulates the opposite end to respond to the first interaction information, so that the communication efficiency between the two ends is improved, and further, the matching degree between the job hunting user and the recruitment position is determined according to the interaction information related to the recruitment position; under the condition that the matching degree meets the set matching degree requirement, the job hunting terminal and the recruitment terminal are controlled to conduct subsequent interaction related to recruitment, interaction efficiency between the two terminals is improved, and recruitment and job hunting efficiency are further improved.

Description

Recruitment service system, method, equipment and storage medium based on AI

Technical Field

The application relates to the technical field of artificial intelligence, in particular to an AI-based recruitment service system, an AI-based recruitment service method, AI-based recruitment equipment and an AI-based recruitment 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 meeting the recruitment condition, and the recruitment platform can also actively recommend the job position to the job seeker. In the whole process, recruiters need to face communication and resources of a large number of job seekers, the job seekers need to screen a plurality of positions, and the connection efficiency between the recruiters and the job seekers is low.

Disclosure of Invention

Aspects of the present application provide an AI-based recruitment service system, method, apparatus, and storage medium for improving interaction efficiency between a recruitment end and a job hunting end.

The embodiment of the application provides an AI-based recruitment service system, which comprises: recruitment end and job application end, and AI service module corresponding to recruitment end; the AI service module is used for generating second interaction information corresponding to the first interaction information based on the AI language model under the condition that the job seeker initiates the first interaction information to the recruitment end, sending the second interaction information to the job seeker to replace the recruitment end to answer the first interaction information, and displaying the first interaction information and the second interaction information on an interaction interface of the recruitment end according to the interaction sequence; identifying target interaction information matched with the recruitment post from the first interaction information and the second interaction information; determining the matching degree between the job-seeking user and the recruitment post according to the target interaction information; and under the condition that the matching degree meets the set first matching degree requirement, sending a call request to the job seeker instead of the recruiter so as to carry out subsequent interaction related to recruitment with the job seeker.

The embodiment of the application also provides an AI-based recruitment service system, which comprises: recruitment end and job application end, and AI service module corresponding to job application end; the AI service module is used for generating second interaction information corresponding to the first interaction information based on the AI language model under the condition that the recruitment end initiates the first interaction information to the job seeker, respectively sending the second interaction information to the recruitment end to replace the job seeker to answer the first interaction information, and displaying the first interaction information and the second interaction information on an interaction interface of the job seeker according to the interaction sequence; and receiving a call request sent by the recruitment terminal, replacing the call request received by the job seeker, and carrying out subsequent interaction related to recruitment by the recruitment terminal.

The embodiment of the application also provides an AI service method for providing recruitment interaction service, comprising the following steps: under the condition that the job hunting terminal initiates first interaction information to the recruitment terminal, generating second interaction information corresponding to the first interaction information based on the AI language model; the second interaction information is respectively sent to the job seeker to replace the recruitment end to answer the first interaction information, and the first interaction information and the second interaction information are displayed on an interaction interface of the recruitment end according to the interaction sequence; identifying target interaction information matched with the recruitment post from the first interaction information and the second interaction information; determining the matching degree between the job-seeking user and the recruitment post according to the target interaction information; and under the condition that the matching degree meets the set first matching degree requirement, sending a call request to the job seeker instead of the recruiter so as to carry out subsequent interaction related to recruitment with the job seeker.

The embodiment of the application also provides an AI service method for providing recruitment interaction service, comprising the following steps: under the condition that the recruitment terminal initiates first interaction information to the job seeker, generating second interaction information corresponding to the first interaction information based on the AI language model; the second interaction information is respectively sent to the recruitment terminal to replace the job seeker to answer the first interaction information, and the first interaction information and the second interaction information are displayed on an interaction interface of the job seeker according to the interaction sequence; and receiving a call request sent by the recruitment terminal, replacing the call request received by the job seeker, and carrying out subsequent interaction related to recruitment by the recruitment terminal.

The embodiment of the application also provides an AI service device for providing recruitment interaction service, comprising: the system comprises a generation module, a receiving and transmitting module, a display module, an identification module, a determination module and a substitution module; the generation module is used for generating second interaction information corresponding to the first interaction information based on the AI language model under the condition that the job hunting terminal initiates the first interaction information to the recruitment terminal; the receiving and transmitting module is used for respectively transmitting the second interaction information to the job hunting terminal so as to replace the recruitment terminal to answer the first interaction information; the display module is used for displaying the first interaction information and the second interaction information on the interaction interface of the recruitment terminal according to the interaction sequence; the identification module is used for identifying target interaction information matched with recruitment posts from the first interaction information and the second interaction information; the determining module is used for determining the matching degree between the job-seeking user and the recruitment post according to the target interaction information; and the substitution module is used for substituting the recruitment terminal to send a call request to the job application terminal under the condition that the matching degree meets the set first matching degree requirement so as to carry out subsequent interaction related to recruitment with the job application terminal.

The embodiment of the application also provides an AI service device for providing recruitment interaction service, comprising: the system comprises a generation module, a receiving and transmitting module, a display module and a processing module; the generation module is used for generating second interaction information corresponding to the first interaction information based on the AI language model under the condition that the recruitment end initiates the first interaction information to the job seeker; the receiving and transmitting module is used for respectively transmitting the second interaction information to the recruitment end to replace the job hunting end to answer the first interaction information; the display module is used for displaying the first interaction information and the second interaction information on the interaction interface of the job hunting terminal according to the interaction sequence; and the processing module is used for receiving the call request sent by the recruitment terminal, replacing the call request received by the job seeker and carrying out subsequent interaction related to recruitment with the recruitment terminal.

The embodiment of the application also provides electronic equipment, which comprises: a memory and a processor; a memory for storing a computer program; and the processor is coupled with the memory and used for executing the computer program to realize the steps in the AI service method for providing recruitment interaction service.

The embodiment of the application also provides a computer readable storage medium storing a computer program, which when executed by a processor, causes the processor to implement the steps in the AI service method for providing recruitment interaction service provided by the embodiment of the application.

In the embodiment of the application, the AI service module provides recruitment interaction service for the recruitment end and the job hunting end, and under the condition that any end initiates interaction information to the opposite end, the AI service module simulates the opposite end to respond to the first interaction information, so that the communication efficiency between the two ends is improved, and further, the matching degree between the job hunting user and the recruitment position is determined according to the interaction information related to the recruitment position; under the condition that the matching degree meets the set matching degree requirement, the job hunting terminal and the recruitment terminal are controlled to conduct subsequent interaction related to recruitment, interaction efficiency between the two terminals is improved, and recruitment and job hunting efficiency are further 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. 2a is a schematic diagram of an interactive interface provided by an exemplary embodiment of the present application;

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

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

fig. 2d is a schematic diagram of an AI call service provided by an exemplary embodiment of the present application;

FIG. 2e is a schematic diagram of a configuration AI service module provided in accordance with an exemplary embodiment of the application;

fig. 3 is a schematic structural diagram of another AI-based recruitment service system provided in accordance with an exemplary embodiment of the present application;

fig. 4 is a flowchart of an AI-based recruitment service method provided by an exemplary embodiment of the present application;

fig. 5 is a flowchart of another AI-based recruitment service method provided by an exemplary embodiment of the present application;

Fig. 6 is a schematic structural diagram of an AI-based recruitment service provided in accordance with an exemplary embodiment of the present application;

fig. 7 is a schematic structural diagram of another AI-based recruitment service provided in accordance with an exemplary embodiment of the present application;

fig. 8 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 provides recruitment interaction service for recruitment end and job seeker, and under the condition that any end initiates interaction information to the opposite end, the AI service module simulates the opposite end to respond to the first interaction information, so that the communication efficiency between the two ends is improved, and further, the matching degree between the job seeker and the recruitment post is determined according to the interaction information related to the recruitment post; under the condition that the matching degree meets the set matching degree requirement, the job hunting terminal and the recruitment terminal are controlled to conduct subsequent interaction related to recruitment, interaction efficiency between the two terminals is improved, and recruitment and job hunting efficiency are further 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 corresponding to the recruiter. The AI service module is configured to provide recruitment interaction service for a recruitment terminal, where the recruitment interaction service refers to interaction service related to recruitment, such as chat service or short message service. The job hunting end and recruitment end can relate to the field of home administration, the field of freight drivers, the field of renting houses, the field of selling houses by sellers, the field of moving houses and the like.

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 (APPlication, APP) corresponding to the recruitment terminal 101 may be deployed on the terminal device 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 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 independently deployed on the terminal device corresponding to the recruitment end 101, and can be distributed and deployed on the terminal device corresponding to the recruitment end 101 and the service end device.

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 the job seeker 102 initiates the interaction information to the recruiter 101, the AI service module may simulate the recruiter 101 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 interaction information sent by the job seeker 102 to the recruiter 101, the interaction information sent by the job seeker 102 to the recruiter 101 is referred to as first interaction information, and the interaction information returned by the recruiter 101 to the job seeker 102 is referred to as second interaction 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. 2a, the AI service module sends a recruitment to the job seeker, the job seeker clicks the recruitment to enter into a chat interaction page with the recruiter, and the AI service module provides: the method comprises the steps that a control and a chat-capable control are temporarily not considered, a job seeker responds to triggering operation of the chat-capable control, first interaction information is sent to a recruitment end, the first interaction information is realized as chat-capable, and the AI service module simulates the recruitment end to return second interaction information to any end (such as the job seeker) in a popup window mode.

In this embodiment, the AI service module 103 may employ an AI language model to simulate the recruitment end to answer to the first interaction information. 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-answering, dialogue and the like, and is an important path to artificial intelligence.

In this embodiment, when the job seeker 102 sends the first interaction information to the recruiter 101, second interaction information corresponding to the first interaction information is generated based on the AI language model. For example, the first interaction information may be input into the AI language model in accordance with the format of the AI language model, and the AI language model may output the second interaction information corresponding to the first interaction information. For another example, the recruitment information may be obtained according to the first interaction information, the recruitment information is input into the AI language model, and the AI language model outputs second interaction information related to the recruitment information. The AI service module may send the second interaction information to the job seeker, respectively, in place of the recruiter responding to the first interaction information. Further, the first interactive information and the second interactive information are displayed on the interactive interface of the recruitment terminal according to the interactive sequence. Specifically, the job seeker receives second interaction information sent by the AI service module and displays the first interaction information and the second interaction information on an interaction interface of the second interaction information under the condition that the first interaction information is sent to the recruitment end; and the opposite terminal receives the second interaction information sent by the AI service module under the condition of receiving the first interaction information, and displays the first interaction information and the second interaction information on an interaction interface of the opposite terminal. Optionally, the first interaction information and the second interaction information obtained by performing one or more rounds of interaction between the job hunting terminal and the recruitment terminal can be stored.

The interaction page can be a page in the APP corresponding to the job seeking end or the recruitment end, or can be a page embedded in the third-party instant messaging application by the APP, and at the moment, the AI service module, the APP and the third-party instant messaging application are required to be opened, so that communication connection among the AI service module, the APP and the third-party instant messaging application is realized. Such as by socket opening.

Optionally, the trigger timing of the AI service module for providing the recruitment interaction service is not limited. The following is an example.

For example, when the job seeker initiates the first interaction information to the recruiter, it is determined whether the recruiter replies to the first interaction information, for example, when an APP corresponding to the recruiter is in a background running state, the recruiter is considered to not reply to the first interaction information, and for example, in a set time (e.g., 1 minute) between receiving the first interaction information by the recruiter, the recruiter does not output the second interaction information for the first interaction information, and then the recruiter is considered to not reply to the first interaction information. And if the recruitment terminal does not answer to the first interaction information, generating second interaction information corresponding to the first interaction information based on the AI language model.

For another example, the recruitment end user may instruct the AI service module to perform a simulated response, send an instruction to the AI service module to instruct the simulated response, and generate second interaction information corresponding to the first interaction information based on the AI language model in response to the instruction to instruct the simulated response by the recruitment end. For example, an initiation control is displayed on an interaction page of the job seeker and the recruiter, and the recruiter user can trigger the initiation control to send an instruction for indicating the simulation response to the AI service module.

In this embodiment, for the interaction of the second stage, in the process of simulating the response of the recruitment terminal, the AI service module may involve interaction information related to the recruitment post, and the AI service module may identify target interaction information adapted to the recruitment post from the first interaction information and the second interaction information, and determine, according to the target interaction information, a matching degree between the job seeker and the recruitment post, where the matching degree may be 20%, 50% or 80%, and so on, without limitation. The higher the degree of matching between the job-seeking user and the recruitment, the more suitable the job-seeking user is for the recruitment. The matching degree needs to meet a certain matching degree requirement, for example, the matching degree is greater than a set matching degree threshold, and the matching degree threshold can be 40%, 70% or 85% or the like.

Under the condition that the matching degree meets the set matching degree requirement, an interaction channel is established between the job seeker 102 and the recruiter 101, and the job seeker 102 and the recruiter 101 are controlled to conduct subsequent interaction related to recruitment through the interaction channel. The interactive channel is not limited, and may be, for example, a voice call, a video call, or a call.

Optionally, an audio-video channel is respectively established between the job seeker 102 and the recruiter 101 through an AI service module, so as to establish an audio-video channel between the job seeker 102 and the recruiter 101, and the AI service module calls the job seeker 102 and the recruiter 101 respectively, so as to control the job seeker 102 and the recruiter 101 to perform recruitment-related audio-video calls through the audio-video channel under the condition that the call between the job seeker 102 and the recruiter 101 is connected.

For example, in fig. 2d, in the case that the matching degree meets the set matching degree requirement, the Ai service module calls the job hunting terminal and the recruiting terminal respectively, where 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. In fig. 2d, the AI service module may call the recruiter first if the matching degree meets the set matching degree requirement, and call the job seeker if the recruiter agrees to transfer the job seeker, so as to connect the recruiter and the job seeker for 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 the embodiment of the application, the AI service module provides recruitment interaction service for the recruitment terminal and the job hunting terminal, and under the condition that the job hunting terminal initiates interaction information to the recruitment terminal, the AI service module simulates the recruitment terminal to answer aiming at the first interaction information, so that the communication efficiency between the two terminals is improved, and further, the matching degree between the job hunting user and the recruitment position is determined according to the interaction information related to the recruitment position; under the condition that the matching degree meets the set matching degree requirement, the job hunting terminal and the recruitment terminal are controlled to conduct subsequent interaction related to recruitment, interaction efficiency between the two terminals is improved, and recruitment and job hunting efficiency are further improved.

Under the condition that interaction is required to be initiated at any one end due to the limitation of the active period, subjective intention and the like of a user, the corresponding end responds as soon as possible, the connection efficiency is improved, information is firstly detected, and whether further communication is needed is judged in advance. The AI service module can simulate the response of the opposite terminal to establish the connection between the recruitment terminal and the job seeker, and the simulated response process can be used as a front service scene for confirming the intention of both the job seeker and the recruitment terminal.

The job-seeking terminal is connected with the recruitment terminal for example to explain:

a. when the job hunting terminal actively expresses interactive intention, the recruitment terminal is not on line, and the AI service module replaces the recruitment terminal to perform a series of problems related to the intention and the person post matching degree, such as front inquiry, so as to expect to quickly obtain the on-line feedback of the job hunting terminal;

b. based on the feedback content of the job hunting terminal, the intention matching degree of the job hunting terminal is evaluated, and whether the current connection needs boosting or not is judged (for example, the recruitment terminal is strongly reminded to quickly contact the job hunting terminal)

c. And (3) finishing the structured content fed back by the job hunting terminal, and automatically perfecting job hunting resume information, for example, automatically updating the fed-back structured content into resume information of a job hunting user to assist next recommendation matching.

In this embodiment, the matching degree requirement that the matching degree between the job seeker and the recruitment post needs to meet is not limited. For example, a first matching degree threshold, which may be 20%, 50%, 70%, or the like, and a second matching degree threshold, which may be 30%, 60%, or 90%, or the like, are set, the first matching degree requirement may be greater than the set first matching degree threshold and less than the set second matching degree threshold, and the second matching degree requirement is greater than or equal to the set second matching degree threshold. Under the condition that the matching degree meets the set first matching degree requirement, the job seeker and the recruiter are considered to further need subsequent interaction related to recruitment, an interaction channel is established between the job seeker and the recruiter, and the job seeker and the recruiter are controlled to conduct subsequent interaction related to recruitment through the interaction channel.

Optionally, under the condition that the matching degree meets the set second matching degree requirement, the job-seeking user and the recruitment post are considered to have higher matching degree, and a reserved interview can be performed, and then a interview reservation request is sent to the job-seeking end according to interview demand information pre-configured by the recruitment end for the recruitment post so as to simulate interview reservation by the recruitment end and the job-seeking end; and receiving reservation information provided by the job seeker, and providing the reservation information to the recruiter for the recruiter to interview according to the reservation information. The interview demand information may be at least one of interview confirmation information, interview time information, and interview location information. The reservation information may be implemented as reserved interview information, such as a reservation time, a reservation place, and the like.

In an alternative embodiment, the second interaction information includes: and the job hunting terminal replies the problem information under the condition that the second interaction information is sent to the job hunting terminal. Optionally, the second interaction information further includes: and the job seeker selects from the multiple candidate answers according to the multiple candidate answers corresponding to the question information.

Based on this, historical information of the recruiter is obtained, the historical information including at least one of: historical voice calls, historical chat records, and historical search records for recruitment posts. And inputting the history information of the recruitment user into an AI language model, and generating at least one piece of problem information in the AI language model according to the history information of the recruitment user. Generating a plurality of candidate answers for each question information; and organizing each question information and a plurality of candidate answers thereof in a card form to obtain second interaction information corresponding to the first interaction information. Or, the problem information is used as second interaction information corresponding to the first interaction information. For example, in fig. 2b-2c, the second interaction information includes: the situation of a single-choice answer, a multiple-choice answer and a manually input answer is shown in fig. 2b and 2c for the question information provided by the recruiting terminal, wherein the single-choice answer, the multiple-choice answer and the manually input answer can be used as the first interaction information. In addition, the second interactive information may be presented by voice or other types of interaction, in addition to being presented in the form of a card.

Alternatively, the flow of the analog response exiting by the AI service module is not limited. For example, if the job seeker does not answer to the second interaction information provided by the AI service module within a set time, the AI service module exits the simulated answer service; the job seeker exits the interactive interface, and the AI service module exits the simulation response service; after the job seeker answers the second interaction information provided by the AI service module, the AI service module exits the interaction interface, exits the simulation response service, and stores the first interaction information and the second interaction information in the chat record.

Optionally, generating the specific embodiment of the at least one question information according to the recruitment user's history information includes: identifying or extracting implicit demand information of the recruitment user from the historical record information of the recruitment user; implicit demand information is unstructured and costly to describe, e.g., the implicit demand information may be job site information (specific to a region or street, etc.), gender or related welfare treatments, etc. Implicit demand information requires the recruiter to screen in repeated communications. The explicit requirement information of the recruitment user is acquired from the post information of the recruitment user, has the advantages of being structured, low in description cost and capable of being acquired from the recruitment post or job hunting resume. Generating at least one question information according to at least one of the implicit requirement information, the explicit requirement information and the post type information. For post type information, for example, the on post type information may include, but is not limited to: chefs, caregivers, sanitation or drivers, etc. Wherein, at least one question information adapted to the post type information can be set in advance according to the post type information. For implicit or explicit demand information, the implicit or explicit demand information may be implemented as part of the problem information, e.g., as: the job site is area a, and for implicit requirement information, the generated problem information may be: "what area you desire is? ".

In this embodiment, the implementation of identifying the target interaction information adapted to the recruitment post from the first interaction information and the second interaction information is not limited. In an alternative embodiment, in the interaction process of the recruitment end and the job hunting end, the interaction information after the keyword corresponding to the recruitment post appears for the first time is used as the target interaction information, wherein the keyword corresponding to the recruitment post can be "post name", "chatting with people" or "chatting with people", and the like. In another alternative embodiment, in the interaction process of the recruitment end and the job seeker, questions and answers are conducted in a popup window mode for the recruitment post, and interaction information in the popup window is used as target interaction information.

In an alternative embodiment, the target interaction information comprises: recruiting the problem information of the user and the first answer of the job seeker; according to the target interaction information, an embodiment for determining the matching degree between the job-seeking user and the recruitment post comprises the following steps: acquiring a second answer of the recruiting user from the implicit demand information and the explicit demand information of the recruiting user according to the question information of the recruiting user; and matching the first answer with the second answer to obtain the matching degree between the first answer and the second answer as the matching degree between the job seeker and the recruitment post. The number of question information of the recruited user can be one or more, and accordingly, the first answer can be one or more, and the second answer can be one or more. And under the condition that the question information of the recruitment user is a plurality of questions, carrying out weighted average on the matching degree between the plurality of first answers and the plurality of second answers to obtain the matching degree between the job seeker and the recruitment post.

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.

In an alternative embodiment, the AI service module may further provide a service for generating a recruitment for the recruiter, and specifically, the recruiter may input the job description information and the recruitment requirement information at the recruiter. The post description information is basic information of a recruitment post, and the recruitment demand information is demand information for job seekers. Taking recruitment as an example, the post description information can be vehicle information, working time information, working city information and the like, and the recruitment demand information can be age, driving license information and the like for job seekers. For the recruitment terminal, the AI service module can receive the post description information and the recruitment demand information sent by the recruitment terminal, generate the recruitment post of the recruitment terminal according to the post description information and the recruitment demand information, and issue the recruitment post to each job seeker. For example, the post description information and the recruitment requirement information are filled into a post template according to a certain format, so as to obtain the recruitment post of the recruitment terminal.

In another alternative embodiment, the AI service module may further provide a service for generating a job hunting resume for the job hunting end, and the job hunting user may input resume description information, and the AI service module receives resume description information sent by the job hunting end for the job hunting end, generates a resume of the job hunting end according to the resume description information, and issues the resume to each recruitment end.

In yet another alternative embodiment, the AI service module may further provide a service for generating a recruitment post for the recruitment end, and provide a service for generating a job hunting resume for the job hunting end, which may be referred to in detail in the foregoing embodiment, and will not be described herein.

In an alternative embodiment, whether the AI service module is activated may be configured in advance at the job hunting end or the recruiter end. For example, the application server may provide an AI service configuration page on the job application terminal and the recruitment terminal, and may initiate a service activation operation on the AI service configuration page on either of the job application terminal and the recruitment terminal, and activate the AI service module for providing the recruitment interaction service for the job application terminal and the recruitment terminal. For example, the AI service configuration page includes: the control is activated and the service activation operation may be implemented as a click operation for the activated control. For example, as shown in fig. 2e, an exemplary illustration of an AI service module is provided, with the AI service module being an AI recruitment assistant, the AI recruitment assistant comprising: the AI automatic answer service and AI call service are illustrated as examples, but are not limited thereto. The AI call service is a service for establishing an interaction channel between the job hunting terminal and the recruitment terminal and controlling subsequent interaction related to recruitment through the interaction channel under the condition that the matching degree meets a set first matching degree requirement. Also included in fig. 2e is: a first activation control corresponding to the AI automatic answering service and a second activation control corresponding to the AI calling service. In fig. 2e, an exemplary illustration is shown: the job seeker has communication intention aiming at the recruitment post, but the recruiter can start the AI calling service when not on line; when the job-seeking user initiatively initiates the first interaction information, but the recruitment user cannot answer, the AI automatic question-answering service can be started. When the job seeker is interested in the recruitment position and has high matching degree, the AI calling service can assist the recruiter to automatically communicate with the job seeker in a telephone manner, so that the recruitment efficiency is greatly improved. When the recruitment terminal cannot answer the interaction information of the job seeker in time, the AI automatic question-answering service can assist in knowing job seekers of some job seekers and guiding the job seekers to deliver resume or communicate by telephone, so as to assist in screening proper recruiters.

In an alternative embodiment, the AI service module may be purchased in advance at the job seeker or the recruiter, so that the AI service module may provide recruitment interaction services for the job seeker and the recruiter. The method comprises the steps that an AI service selection page can be provided on a job hunting end and a recruitment end, the AI service page comprises AI services to be selected, selection operation for the AI services to be selected can be initiated on the AI service selection page of any one of the job hunting end and the recruitment end, and the AI service module can respond to the selection operation on the AI service selection page to determine that the AI service module corresponding to the selection operation is activated for the job hunting end and the recruitment end.

The embodiment of the application provides another recruitment service system based on AI besides the system embodiment, and the process of the recruitment service system based on AI provided by the embodiment of the application is explained below.

Fig. 3 is a schematic structural diagram of another AI-based recruitment service system provided in an exemplary embodiment of the present application, as shown in fig. 3, the system includes: recruiter 301 and job applicant 302, and AI service module 303 corresponding to the job applicant. The AI service module is configured to provide recruitment interaction service for the job seeker, where the recruitment interaction service refers to interaction service related to recruitment, such as chat service or short message service. The job hunting end and recruitment end can relate to the field of home administration, the field of freight drivers, the field of renting houses, the field of selling houses by sellers, the field of moving houses and the like.

The embodiment shown in fig. 3 differs from the embodiment shown in fig. 1 in that in the embodiment shown in fig. 1 the AI service module corresponds to the recruiter and in the embodiment shown in fig. 3 the AI service module corresponds to the job applicant.

In this embodiment, the AI service module may be deployed on the server device independently, may be deployed on a terminal device corresponding to the job-seeking end independently, or may be deployed on a terminal device corresponding to the job-seeking end and the server device in a distributed manner.

The AI service module 303 is configured to generate second interaction information corresponding to the first interaction information based on the AI language model when the recruitment end initiates the first interaction information to the job seeker, send the second interaction information to the recruitment end respectively to replace the job seeker to answer the first interaction information, and display the first interaction information and the second interaction information on an interaction interface of the job seeker according to an interaction sequence.

The recruitment terminal identifies target interaction information matched with the recruitment post from the first interaction information and the second interaction information; determining the matching degree between the job-seeking user and the recruitment post according to the target interaction information; and under the condition that the matching degree meets the set first matching degree requirement, the recruitment terminal sends a call request to the job seeker so as to carry out subsequent interaction related to recruitment with the job seeker.

The AI service module 303 may receive a call request sent by the recruitment end, and in a case where the job seeker cannot answer the call request, replace the job seeker to answer the call request and perform subsequent interactions related to recruitment with the recruitment end.

The detailed implementation and the beneficial effects of each step in the system shown in fig. 3 provided in the embodiment of the present application have been described in detail in the foregoing embodiments, and will not be described in detail herein.

Fig. 4 is a flowchart of an AI service method for providing recruitment interaction service according to an exemplary embodiment of the present application, as shown in fig. 4, the method includes:

401. under the condition that the job hunting terminal initiates first interaction information to the recruitment terminal, generating second interaction information corresponding to the first interaction information based on the AI language model;

402. the second interaction information is respectively sent to the job seeker to replace the recruitment end to answer the first interaction information, and the first interaction information and the second interaction information are displayed on an interaction interface of the recruitment end according to the interaction sequence;

403. identifying target interaction information matched with the recruitment post from the first interaction information and the second interaction information;

404. determining the matching degree between the job-seeking user and the recruitment post according to the target interaction information;

405. And under the condition that the matching degree meets the set first matching degree requirement, sending a call request to the job seeker instead of the recruiter so as to carry out subsequent interaction related to recruitment with the job seeker.

In an alternative embodiment, the method provided by the embodiment of the present application further includes: under the condition that the matching degree meets the set second matching degree requirement, according to the interview demand information pre-configured by the recruitment terminal for the recruitment post, sending an interview reservation request to the job hunting terminal to replace the interview reservation performed by the recruitment terminal and the job hunting terminal; and receiving reservation information provided by the job seeker so as to allow recruitment users to interview according to the reservation information.

In an alternative embodiment, the method provided by the embodiment of the present application further includes: responding to the service activation operation on the AI service configuration page, and activating an AI service module for providing recruitment interaction service for a recruitment terminal; or in response to the selection operation on the AI service selection page, determining to activate an AI service module corresponding to the selection operation for the recruiter, wherein the AI service page comprises the AI service to be selected.

In an alternative embodiment, the method provided by the embodiment of the present application further includes: acquiring post description information and recruitment demand information in response to post adding operation; and generating recruitment positions of the recruitment terminals according to the position description information and the recruitment demand information, and issuing the recruitment positions to each job seeker.

In an alternative embodiment, generating second interaction information corresponding to the first interaction information based on the AI language model includes: inputting the recruitment user history information to an AI language model, wherein at least one question information is generated according to the recruitment user history information in the AI language model, and the history information comprises at least one of the following: historical voice calls, historical chat records and historical search records for recruitment posts; generating a plurality of candidate answers for each question information; organizing each question information and a plurality of candidate answers thereof in a card form to obtain second interaction information corresponding to the first interaction information; or each question information is used as second interaction information corresponding to the first interaction information.

In an alternative embodiment, generating at least one question information based on the recruiter's historic record information includes: identifying or extracting implicit demand information of the recruitment user from the historical record information of the recruitment user; acquiring explicit demand information of the recruitment user from the post information of the recruitment user; generating at least one question information according to at least one of the implicit requirement information, the explicit requirement information and the post type information.

In an alternative embodiment, the target interaction information comprises: recruiting the problem information of the user and the first answer of the job seeker; according to the target interaction information, determining the matching degree between the job-seeking user and the recruitment post comprises the following steps: acquiring a second answer of the recruiting user from the implicit demand information and the explicit demand information of the recruiting user according to the question information of the recruiting user; and matching the first answer with the second answer to obtain the matching degree between the first answer and the second answer as the matching degree between the job seeker and the recruitment post.

The detailed implementation and the beneficial effects of each step in the method shown in fig. 4 provided in the embodiment of the present application have been described in detail in the foregoing embodiments, and will not be described in detail herein.

Fig. 5 is a flowchart of another AI service method for providing recruitment interaction service according to an exemplary embodiment of the present application, as shown in fig. 5, the method includes:

501. under the condition that the recruitment terminal initiates first interaction information to the job seeker, generating second interaction information corresponding to the first interaction information based on the AI language model;

502. the second interaction information is respectively sent to the recruitment terminal to replace the job seeker to answer the first interaction information, and the first interaction information and the second interaction information are displayed on an interaction interface of the job seeker according to the interaction sequence;

503. And receiving a call request sent by the recruitment terminal, replacing the call request received by the job seeker, and carrying out subsequent interaction related to recruitment by the recruitment terminal.

In an alternative embodiment, the method provided by the embodiment of the present application further includes: responding to the resume adding operation, and acquiring resume description information; and generating resume of the job hunting terminal according to the resume description information and issuing the resume to each recruitment terminal.

The detailed implementation and the beneficial effects of each step in the method shown in fig. 5 provided in the embodiment of the present application have been described in detail in the foregoing embodiments, and will not be described in detail herein.

It should be noted that, the execution subjects of each step of the method provided in the above embodiment may be the same device, or the method may also be executed by different devices. For example, the execution subject of steps 401 to 403 may be a device; for another example, the execution subject of steps 401 and 402 may be a device, and the execution subject of step 403 may be a device B; etc.

In addition, in some of the flows described in the above embodiments and the drawings, a plurality of operations appearing in a specific order are included, but it should be clearly understood that the operations may be performed out of the order in which they appear herein or performed in parallel, the sequence numbers of the operations, such as 401, 402, etc., are merely used to distinguish between the various operations, and the sequence numbers themselves do not represent any order of execution. In addition, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first" and "second" herein are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, and are not limited to the "first" and the "second" being different types.

Fig. 6 is a schematic structural diagram of an AI service apparatus for providing recruitment interaction service according to an exemplary embodiment of the present application, as shown in fig. 6, the apparatus includes: a generating module 61, a receiving and transmitting module 62, a display module 63, an identifying module 64, a determining module 65 and a replacing module 66;

the generating module 61 is configured to generate second interaction information corresponding to the first interaction information based on the AI language model when the job hunting end initiates the first interaction information to the recruitment end;

the transceiver module 62 is configured to send the second interaction information to the job seeker, so as to replace the recruiter to answer the first interaction information; the display module 63 is configured to display the first interaction information and the second interaction information on the interaction interface of the recruitment end according to the interaction sequence; and

an identification module 64 for identifying target interaction information adapted to the recruitment post from the first interaction information and the second interaction information;

the determining module 65 is configured to determine, according to the target interaction information, a matching degree between the job-seeking user and the recruitment post;

the substitution module 66 is configured to send a call request to the job seeker instead of the recruiter to perform subsequent interaction related to recruitment with the job seeker if the matching degree meets the set first matching degree requirement.

In an alternative embodiment, the transceiver module is further configured to: under the condition that the matching degree meets the set second matching degree requirement, according to the interview demand information pre-configured by the recruitment terminal for the recruitment post, sending an interview reservation request to the job hunting terminal to replace the interview reservation performed by the recruitment terminal and the job hunting terminal; and receiving reservation information provided by the job seeker so as to allow recruitment users to interview according to the reservation information.

In an alternative embodiment, the device provided in the embodiment of the present application further includes: activating a module; the activating module is used for responding to the service activating operation on the AI service configuration page and activating the AI service module for providing recruitment interaction service for the recruitment terminal; or in response to the selection operation on the AI service selection page, determining to activate an AI service module corresponding to the selection operation for the recruiter, wherein the AI service page comprises the AI service to be selected.

In an alternative embodiment, the device provided in the embodiment of the present application further includes: an acquisition module; the acquisition module is used for responding to the post adding operation and acquiring post description information and recruitment requirement information; the generation module is used for generating recruitment positions of the recruitment terminals according to the position description information and the recruitment demand information, and issuing the recruitment positions to each job seeker.

In an alternative embodiment, the generating module is specifically configured to: inputting the recruitment user history information to an AI language model, wherein at least one question information is generated according to the recruitment user history information in the AI language model, and the history information comprises at least one of the following: historical voice calls, historical chat records and historical search records for recruitment posts; generating a plurality of candidate answers for each question information; organizing each question information and a plurality of candidate answers thereof in a card form to obtain second interaction information corresponding to the first interaction information; or each question information is used as second interaction information corresponding to the first interaction information.

In an alternative embodiment, the generating module is specifically configured to: identifying or extracting implicit demand information of the recruitment user from the historical record information of the recruitment user; acquiring explicit demand information of the recruitment user from the post information of the recruitment user; generating at least one question information according to at least one of the implicit requirement information, the explicit requirement information and the post type information.

In an alternative embodiment, the target interaction information comprises: recruiting the problem information of the user and the first answer of the job seeker; the determining module is specifically configured to: acquiring a second answer of the recruiting user from the implicit demand information and the explicit demand information of the recruiting user according to the question information of the recruiting user; and matching the first answer with the second answer to obtain the matching degree between the first answer and the second answer as the matching degree between the job seeker and the recruitment post.

Fig. 7 is a schematic structural diagram of another AI service apparatus for providing recruitment interaction service according to an exemplary embodiment of the present application, as shown in fig. 7, the apparatus includes: a generating module 71, a transceiver module 72, a display module 73 and a processing module 74.

The generating module 71 is configured to generate second interaction information corresponding to the first interaction information based on the AI language model when the recruitment end initiates the first interaction information to the job seeker;

the transceiver module 72 is configured to send the second interaction information to the recruitment end, so as to replace the job hunting end to answer the first interaction information; the display module 73 is configured to display the first interaction information and the second interaction information on the interaction interface of the job hunting terminal according to the interaction sequence; and

the processing module 74 is configured to receive the call request sent by the recruiter, replace the subsequent interaction that the job seeker answers the call request and performs recruitment-related to the recruiter.

In an alternative embodiment, the device provided in the embodiment of the present application further includes: an acquisition module; the acquisition module is used for responding to the resume adding operation and acquiring resume description information; the generation module is used for generating resume of the job application end according to the resume description information and issuing the resume to each recruitment end.

The detailed implementation and the beneficial effects of each step in the apparatus shown in fig. 7 provided in the embodiment of the present application have been described in detail in the foregoing embodiments, and will not be described in detail herein.

Fig. 8 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application, as shown in fig. 8, where the device includes: a memory 84 and a processor 85.

Memory 84 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 85 coupled to the memory 84 for executing the computer program in the memory 84 for: under the condition that the job hunting terminal initiates first interaction information to the recruitment terminal, generating second interaction information corresponding to the first interaction information based on the AI language model; the second interaction information is respectively sent to the job seeker to replace the recruitment end to answer the first interaction information, and the first interaction information and the second interaction information are displayed on an interaction interface of the recruitment end according to the interaction sequence; identifying target interaction information matched with the recruitment post from the first interaction information and the second interaction information; determining the matching degree between the job-seeking user and the recruitment post according to the target interaction information; and under the condition that the matching degree meets the set first matching degree requirement, sending a call request to the job seeker instead of the recruiter so as to carry out subsequent interaction related to recruitment with the job seeker.

In an alternative embodiment, processor 85 is further configured to: under the condition that the matching degree meets the set second matching degree requirement, according to the interview demand information pre-configured by the recruitment terminal for the recruitment post, sending an interview reservation request to the job hunting terminal to replace the interview reservation performed by the recruitment terminal and the job hunting terminal; and receiving reservation information provided by the job seeker so as to allow recruitment users to interview according to the reservation information.

In an alternative embodiment, processor 85 is further configured to: responding to the service activation operation on the AI service configuration page, and activating an AI service module for providing recruitment interaction service for a recruitment terminal; or in response to the selection operation on the AI service selection page, determining to activate an AI service module corresponding to the selection operation for the recruiter, wherein the AI service page comprises the AI service to be selected.

In an alternative embodiment, processor 85 is further configured to: acquiring post description information and recruitment demand information in response to post adding operation; and generating recruitment positions of the recruitment terminals according to the position description information and the recruitment demand information, and issuing the recruitment positions to each job seeker.

In an alternative embodiment, the processor 85 is specifically configured to, when generating the second interaction information corresponding to the first interaction information based on the AI language model: inputting the recruitment user history information to an AI language model, wherein at least one question information is generated according to the recruitment user history information in the AI language model, and the history information comprises at least one of the following: historical voice calls, historical chat records and historical search records for recruitment posts; generating a plurality of candidate answers for each question information; organizing each question information and a plurality of candidate answers thereof in a card form to obtain second interaction information corresponding to the first interaction information; or each question information is used as second interaction information corresponding to the first interaction information.

In an alternative embodiment, the processor 85 is configured to, in generating at least one question information from the recruiter's historic record information: identifying or extracting implicit demand information of the recruitment user from the historical record information of the recruitment user; acquiring explicit demand information of the recruitment user from the post information of the recruitment user; generating at least one question information according to at least one of the implicit requirement information, the explicit requirement information and the post type information.

In an alternative embodiment, the target interaction information comprises: recruiting the problem information of the user and the first answer of the job seeker; the processor 85 is specifically configured to, when determining the matching degree between the job-seeking user and the recruitment post according to the target interaction information: acquiring a second answer of the recruiting user from the implicit demand information and the explicit demand information of the recruiting user according to the question information of the recruiting user; and matching the first answer with the second answer to obtain the matching degree between the first answer and the second answer as the matching degree between the job seeker and the recruitment post.

The detailed implementation and the beneficial effects of each step in the apparatus shown in fig. 8 provided in the embodiment of the present application have been described in detail in the foregoing embodiments, and will not be described in detail herein.

Further, as shown in fig. 8, the electronic device further includes: a communication component 86, a display 87, a power supply component 88, an audio component 89, and other components. Only some of the components are schematically shown in fig. 8, which does not mean that the electronic device only comprises the components shown in fig. 8. In addition, the components within the dashed box in fig. 8 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, or a smart phone, the electronic device may include components within the dashed-line frame in fig. 8; 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. 8 may not be included.

The embodiment of the application also provides electronic equipment, the implementation structure of which is the same as or similar to that of the electronic equipment shown in fig. 8, and can be realized by referring to the structure of the electronic equipment shown in fig. 8. The electronic device provided in this embodiment is different from the electronic device in the embodiment shown in fig. 8 mainly in that: the functions implemented by a processor executing a computer program stored in memory are different. The electronic device provided in this embodiment may have a processor executing a computer program stored in a memory, and may be configured to: under the condition that the recruitment terminal initiates first interaction information to the job seeker, generating second interaction information corresponding to the first interaction information based on the AI language model; the second interaction information is respectively sent to the recruitment terminal to replace the job seeker to answer the first interaction information, and the first interaction information and the second interaction information are displayed on an interaction interface of the job seeker according to the interaction sequence; and receiving a call request sent by the recruitment terminal, replacing the call request received by the job seeker, and carrying out subsequent interaction related to recruitment by the recruitment terminal.

In an alternative embodiment, the processor is further configured to: responding to the resume adding operation, and acquiring resume description information; and generating resume of the job hunting terminal according to the resume description information and issuing the resume to each recruitment terminal.

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 executed to implement the steps executable by the session state synchronization device in the method embodiments shown in fig. 4 to 5.

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. An AI-based recruitment service system comprising: recruitment end and job application end, AI service module corresponding to the recruitment end;

the AI service module is used for generating second interaction information corresponding to the first interaction information based on an AI language model under the condition that the job seeker initiates the first interaction information to the recruitment end, sending the second interaction information to the job seeker to replace the recruitment end to answer the first interaction information, and displaying the first interaction information and the second interaction information on an interaction interface of the recruitment end according to an interaction sequence; and

Identifying target interaction information adapted to a recruitment post from the first interaction information and the second interaction information; determining the matching degree between the job-seeking user and the recruitment post according to the target interaction information; and under the condition that the matching degree meets the set first matching degree requirement, sending a call request to the job seeker instead of the recruiter so as to carry out subsequent interaction related to recruitment with the job seeker.

2. An AI-based recruitment service system comprising: recruitment end and job application end, AI service module corresponding to said job application end;

the AI service module is used for generating second interaction information corresponding to the first interaction information based on an AI language model under the condition that the recruitment end initiates the first interaction information to the job seeker, respectively sending the second interaction information to the recruitment end to replace the job seeker to answer the first interaction information, and displaying the first interaction information and the second interaction information on an interaction interface of the job seeker according to an interaction sequence; and

and receiving a call request sent by the recruitment terminal, and replacing the job-seeking user to answer the call request and carrying out subsequent interaction related to recruitment with the recruitment terminal.

3. An AI service method for providing recruitment interaction service, comprising:

under the condition that a job hunting terminal initiates first interaction information to a recruitment terminal, generating second interaction information corresponding to the first interaction information based on an AI language model;

the second interaction information is respectively sent to the job seeker to replace the recruitment end to answer the first interaction information, and the first interaction information and the second interaction information are displayed on an interaction interface of the recruitment end according to an interaction sequence; and

identifying target interaction information adapted to a recruitment post from the first interaction information and the second interaction information;

determining the matching degree between the job-seeking user and the recruitment post according to the target interaction information;

and under the condition that the matching degree meets the set first matching degree requirement, sending a call request to the job seeker instead of the recruiter so as to carry out subsequent interaction related to recruitment with the job seeker.

4. A method according to claim 3, further comprising:

under the condition that the matching degree meets a set second matching degree requirement, according to interview demand information pre-configured by the recruitment terminal for the recruitment post, a interview reservation request is sent to the job hunting terminal to replace the recruitment terminal to carry out interview reservation with the job hunting terminal; and receiving reservation information provided by the job seeker for the recruiter to interview according to the reservation information.

5. The method of claim 3, wherein generating second interaction information corresponding to the first interaction information based on an AI language model comprises:

inputting the history information of the recruiting user into an AI language model, wherein at least one question information is generated according to the history information of the recruiting user in the AI language model, and the history information comprises at least one of the following: historical voice calls, historical chat records and historical search records for recruitment posts;

generating a plurality of candidate answers for each question information; organizing each question information and a plurality of candidate answers thereof in a card form to obtain second interaction information corresponding to the first interaction information; or each piece of problem information is used as second interaction information corresponding to the first interaction information.

6. The method of claim 5, wherein generating at least one question information based on the recruiter's historic record information comprises:

identifying or extracting implicit demand information of a recruitment user from historical record information of the recruitment user;

acquiring explicit demand information of the recruitment user from the post information of the recruitment user;

Generating at least one question information according to at least one of the implicit requirement information, the explicit requirement information and the post type information.

7. A method according to claim 3, wherein the target interaction information comprises: recruiting the problem information of the user and the first answer of the job seeker; according to the target interaction information, determining the matching degree between the job seeker and the recruitment post comprises the following steps:

acquiring a second answer of the recruitment user from implicit demand information and explicit demand information of the recruitment user according to the problem information of the recruitment user;

and matching the first answer with the second answer to obtain the matching degree between the first answer and the second answer as the matching degree between the job seeker and the recruitment post.

8. An AI service method for providing recruitment interaction service, comprising:

under the condition that a recruitment terminal initiates first interaction information to a job seeker, generating second interaction information corresponding to the first interaction information based on an AI language model;

the second interaction information is respectively sent to the recruitment end to replace the job seeker to answer the first interaction information, and the first interaction information and the second interaction information are displayed on an interaction interface of the job seeker according to an interaction sequence; and

9. An AI service apparatus for providing recruitment interaction service, comprising: the system comprises a generation module, a receiving and transmitting module, a display module, an identification module, a determination module and a substitution module;

the generation module is used for generating second interaction information corresponding to the first interaction information based on the AI language model under the condition that the job hunting end initiates the first interaction information to the recruitment end;

the receiving and transmitting module is used for respectively transmitting the second interaction information to the job hunting terminal so as to replace the recruitment terminal to answer the first interaction information; the display module is used for displaying the first interaction information and the second interaction information on the interaction interface of the recruitment terminal according to the interaction sequence; and

the identification module is used for identifying target interaction information matched with recruitment posts from the first interaction information and the second interaction information;

the determining module is used for determining the matching degree between the job-seeking user and the recruitment post according to the target interaction information;

And the substitution module is used for substituting a recruitment end to send a call request to the job seeker so as to carry out subsequent interaction related to recruitment with the job seeker under the condition that the matching degree meets the set first matching degree requirement.

10. An AI service apparatus for providing recruitment interaction service, comprising: the system comprises a generation module, a receiving and transmitting module, a display module and a processing module;

the generation module is used for generating second interaction information corresponding to the first interaction information based on the AI language model under the condition that the recruitment end initiates the first interaction information to the job seeker;

the receiving and transmitting module is used for respectively transmitting the second interaction information to the recruitment end to replace the job hunting end to answer the first interaction information; the display module is used for displaying the first interaction information and the second interaction information on the interaction interface of the job seeker according to the interaction sequence; and

the processing module is used for receiving the call request sent by the recruitment terminal, replacing the job-seeking user to answer the call request and carrying out subsequent interaction related to recruitment with the recruitment terminal.

11. 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 3-8.

12. 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 3-8.