CN112330273B - Off-office staff part-office recruitment method, device, computer equipment and readable storage medium - Google Patents
Off-office staff part-office recruitment method, device, computer equipment and readable storage medium Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
- G06Q10/1053—Employment or hiring
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The application belongs to the technical field of intelligent decision making, and provides a method and a device for recruiting off-staff part-time jobs, computer equipment and a computer readable storage medium. According to the method, the personnel types corresponding to the off-staff are obtained in response to the off-staff operation of the off-staff, the preset off-staff communication script corresponding to the personnel types is obtained according to the personnel types, on-line communication is carried out with the off-staff according to the preset off-staff communication script, so that the off-staff can be recruited, the off-staff can be fully excited by the targeted preset communication script, the off-staff can continue to participate in the off-staff, the utilization efficiency of human resources of the off-staff can be effectively improved, the labor can be saved, and the labor cost of the off-staff recruitment can be reduced.
Description
Technical Field
The application relates to the technical field of intelligent decision making, in particular to a part-time job recruitment method and device for off-time staff, computer equipment and a computer readable storage medium.
Background
In different fields, there are posts which can work by using the part-time staff, aiming at the work posts which can be used for part-time staff, when the staff leaves, the company and the part-time staff know each other, and the company hopes that the part-time staff can perform part-time staff many times, so that not only can the value be created for the company, but also the cost of recruiting the part-time staff can be reduced, and meanwhile, extra income can be won for the individual, thereby realizing win-win. For example, in the field of insurance, insurance agents may have hundreds of thousands of off-duty personnel each year, and the off-duty insurance agents can have private domain traffic, so that the personnel can combine private domain traffic of the personnel in the future, still perform part-time sales on various products of an insurance company, bring profits to the company, and also bring part-time income to individuals. However, in the conventional technology, each company is dead against the online part-time recruitment process of the off-office staff, and when the online part-time recruitment is carried out, the on-line part-time recruitment is generally only a standardized part-time recruitment page is jumped, so that the off-office staff cannot be successfully converted into part-time staff to a great extent, and the resource waste of the part-time staff is caused, for example, in the protection field, only 28% of off-office agents are willing to continue to participate in the part-time staff, and the success rate of converting the non-voluntary off-office agents into effective part-time staff is lower, so that the huge waste of the effective part-time manpower resources is caused.
Disclosure of Invention
The application provides a part-time recruitment method and device for off-time staff, computer equipment and a computer readable storage medium, which can solve the problem of lower part-time recruitment efficiency for the off-time staff in the traditional technology.
In a first aspect, the present application provides a method of off-office staff part-office recruitment, the method comprising: responding to the off-job operation of the off-job personnel, and acquiring the personnel type corresponding to the off-job personnel; according to the personnel types, acquiring preset leave-job communication scripts corresponding to the personnel types; and carrying out online communication with the off-staff according to the preset off-staff communication script so as to recruit the off-staff for part-time.
In a second aspect, the present application also provides an off-office staff part-office recruitment apparatus comprising: the first acquisition unit is used for responding to the off-job operation of the off-job personnel and acquiring the personnel type corresponding to the off-job personnel; the second acquisition unit is used for acquiring a preset off-office communication script corresponding to the personnel type according to the personnel type; and the communication unit is used for carrying out online communication with the off-staff according to the preset off-staff communication script so as to recruit the off-staff for part-time.
In a third aspect, the present application also provides a computer device comprising a memory having a computer program stored thereon, and a processor implementing the steps of the off-office staff part-office recruitment method when the computer program is executed by the processor.
In a fourth aspect, the present application also provides a computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the off-office staff part job recruitment method.
The application provides a method, a device, a computer device and a computer readable storage medium for recruiting off-office workers. According to the method, the system and the device, the personnel types corresponding to the off-staff are obtained in response to the off-staff operation, the preset off-staff communication script corresponding to the personnel types is obtained according to the personnel types, on-line communication is carried out with the off-staff according to the preset off-staff communication script, so that the off-staff is recruited, different preset off-staff communication scripts are set according to different types of off-staff types, on-line communication with the off-staff is targeted, and compared with the mode that in the prior art, the on-line communication with the off-staff is dead, only a standardized on-site recruitment page is switched, the method and the device can fully excite the on-site demands of the off-staff through the targeted preset communication script, so that the off-staff is willing to continue to participate in the on-site, the labor resource utilization efficiency of the off-staff can be effectively improved, and the labor cost of the off-staff can be saved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for recruiting off-office staff members according to an embodiment of the present application;
fig. 2 is a schematic diagram of a first sub-process of an off-office staff part-time recruitment method provided by an embodiment of the present application;
fig. 3 is a second sub-flowchart of an off-office staff part-office recruitment method provided by an embodiment of the present application;
fig. 4 is a schematic diagram of a third sub-process of the off-office staff part-time recruitment method provided by an embodiment of the present application;
fig. 5 is a schematic diagram of a fourth sub-process of the off-office staff part-time recruitment method provided by an embodiment of the present application;
fig. 6 is a fifth sub-flowchart of an off-office staff part-office recruitment method provided by an embodiment of the present application;
fig. 7 is a schematic block diagram of an off-office staff member part-time recruitment apparatus provided in an embodiment of the present application; and
Fig. 8 is a schematic block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are 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 understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
Referring to fig. 1, fig. 1 is a schematic flow chart of a method for recruiting off-staff parts according to an embodiment of the present application. As shown in fig. 1, the method comprises the following steps S11-S13:
s11, responding to the off-job operation of the off-job personnel, and acquiring the personnel type corresponding to the off-job personnel.
Specifically, when the off-staff performs the off-staff handling, the off-staff handling process can be automatically performed on line through the computer equipment, in the on-line off-staff handling process, the personnel type corresponding to the off-staff is obtained in response to the off-staff handling operation of the off-staff, the personnel type corresponding to the off-staff can be the personnel type corresponding to the off-staff generated in advance, or the pre-stored data corresponding to the off-staff is obtained, and then the pre-stored data is analyzed to obtain the personnel type corresponding to the off-staff, wherein the pre-stored data can comprise all relevant data of the staff such as the performance, the personal basic data, the character test and the like of the off-staff.
S12, acquiring a preset leave-job communication script corresponding to the personnel type according to the personnel type.
Specifically, different communication scripts are preset for different personnel types, the communication scripts can be understood as communication flows or communication contents, and the recruitment process is performed according to rules by performing logic of part-time recruitment on a logic acquisition line interviewed with the part-time personnel when the part-time personnel are recruited through offline learning cases of successful recruitment. For each communication scenario, a main line can be set, and on the premise of meeting the main line, branching scenario processing of different situations is performed again according to different situations. After the personnel type corresponding to the off-office personnel is obtained, a preset off-office communication script corresponding to the personnel type is obtained according to the personnel type. In the embodiment of the application, different preset off-job communication scripts are set for different types of personnel, so that on-line communication with off-job personnel is targeted, compared with the traditional technology, the method for carrying out page jump in which the off-job recruitment process is dead and only the page of the off-job recruitment is standardized for the off-job agent, the method and the device can fully excite the off-job personnel's off-job requirements through the targeted preset communication content contained in the communication scripts, so that the off-job personnel are willing to continue to participate in the off-job personnel, and the human resource utilization efficiency of the off-job personnel can be effectively improved. For example, all the insurance agents are divided into A, B, C personnel types, and the preset off-job communication script corresponding to each personnel type is matched, when the insurance agents are off-job, the intelligent robot is clicked to conduct off-job handling procedures, the off-job personnel are classified based on data of the off-job personnel, for example, 8 dimensions such as on-job performance, sales insurance type, on-job evaluation and the like, so that the A type, the B type or the C type corresponding to the off-job personnel are obtained, and after the classification of the off-job personnel is completed, the appropriate preset off-job communication script is matched for the off-job personnel.
S13, carrying out online communication with the off-staff according to the preset off-staff communication script so as to recruit the off-staff for part-time.
Specifically, after the preset off-office communication scenario corresponding to the off-office personnel is obtained, on-line communication is performed with the off-office personnel according to the communication content and the communication flow set by the preset off-office communication scenario, wherein the on-line communication can be in a webpage text form or in a virtual video form so as to recruit the off-office personnel.
In the embodiment of the application, the personnel types corresponding to the off-staff are obtained in response to the off-staff operation, the preset off-staff communication script corresponding to the personnel types is obtained according to the personnel types, and on-line communication is carried out with the off-staff according to the preset off-staff communication script, so that the off-staff recruitment is carried out.
Referring to fig. 2, fig. 2 is a schematic diagram of a first sub-flow of an off-staff part-time recruitment method according to an embodiment of the present application. In this embodiment, as shown in fig. 2, the step of obtaining the person type corresponding to the off-staff member in response to the off-staff operation of the off-staff member includes:
s21, responding to the off-job operation of the off-job personnel, and acquiring the off-job willingness corresponding to the off-job personnel;
s22, judging whether the off-duty will is non-voluntary off-duty;
s23, if the off-job willingness is voluntary off-job, the off-job willingness is not used as a condition for performing part-time recruitment on the off-job personnel, and the personnel type corresponding to the off-job personnel is obtained;
and S24, taking the off-job willingness as a condition for recruiting the off-job personnel and acquiring the personnel type corresponding to the off-job personnel if the off-job willingness is not voluntary off-job.
Specifically, when the employee leaves, some employees are voluntary leaves, some employees are involuntary leaves, and for the involuntary leaves, the employee is satisfied with the work, so that the success rate of the part-time recruitment of the involuntary leaves is higher, the leave intention of the employee can be used as the condition of the part-time recruitment of the leaves, and the success probability of the part-time recruitment of the leaves can be predicted to a greater extent. When the off-staff transacts the off-staff, the off-staff willingness corresponding to the off-staff is obtained in response to the off-staff operation of the off-staff, the employee can be enabled to select whether to voluntarily off-staff or not, so that the off-staff willingness is obtained, whether the off-staff willingness is not voluntarily off-staff is judged, if the off-staff willingness is voluntary off-staff, the off-staff willingness is not taken as a condition for recruiting the off-staff, the staff type corresponding to the off-staff is obtained, and if the off-staff willingness is involuntary off-staff, the off-staff willingness is taken as a condition for recruiting the off-staff, and the staff type corresponding to the off-staff is obtained. For example, in the insurance agent industry, insurance agent off-jobs can be categorized into voluntary off-jobs and involuntary off-jobs. For involuntary off-duty, it is an off-duty situation due to performance assessment and the like. For the involuntary off-duty situation, the off-duty agents carry private traffic themselves, which can be converted to effective part-time personnel in a high probability. When the leaving staff performs the leaving, the online automatic leaving procedure can be performed through the computer equipment, in the process of performing the leaving on the line, the leaving staff can be made to select whether the leaving action of the leaving staff belongs to the 'free leaving' or the 'non-free leaving', whether the leaving intention of the agent is the non-free leaving is judged, if the requirement of the agent is sufficiently stimulated for the condition of the agent for the non-free leaving of the agent, the agent can be effectively converted into the non-free leaving of the agent, if the obtained leaving intention of the agent is the non-free leaving of the agent, the leaving intention can be used as a condition for performing the part leaving recruitment on the leaving staff, the type of the leaving staff can be obtained again, the leaving staff can be pre-stored for the corresponding type of the leaving staff, the leaving staff can be obtained, the data can be obtained for the corresponding type of the leaving staff, and the leaving staff can be analyzed for the other persons under the pre-stored condition of the type of the leaving staff, and the leaving staff can be obtained for the corresponding type of the leaving staff.
In the embodiment of the application, the off-staff corresponding off-staff willingness is obtained by responding to the off-staff operation, if the off-staff willingness corresponding to the off-staff is the non-voluntary off-staff, the off-staff willingness is used as a condition for recruiting the off-staff, then the staff type corresponding to the off-staff is obtained, the preset off-staff communication script corresponding to the staff type is obtained according to the staff type, and the on-line communication is carried out with the off-staff according to the preset off-staff communication script, so that the non-voluntary off-staff is recruited, the requirement of the staff can be better mastered due to the off-staff willingness considered, the requirement of the non-voluntary off-staff can be fully stimulated, the non-voluntary off-staff can be participated in, the labor efficiency can be effectively improved, and the labor cost can be saved.
Referring to fig. 3, fig. 3 is a schematic diagram of a second sub-flow of an off-staff part-time recruitment method according to an embodiment of the present application. In this embodiment, as shown in fig. 3, the step of obtaining the person type corresponding to the off-office person includes:
S31, acquiring a personnel identifier corresponding to the off-staff;
s32, acquiring pre-stored data of the off-staff according to the staff identification;
s33, according to the pre-stored data, the off-staff is imaged to obtain the staff type corresponding to the off-staff.
Specifically, when a person handles an off-staff, responding to the handling operation of the off-staff, enabling the off-staff to input unique identification of the employee such as an employee name, an employee number, an employee mobile phone number, an employee identification card number and the like so as to obtain a personnel identification corresponding to the off-staff, further obtaining pre-stored data of the off-staff from a pre-stored database according to the personnel identification, and carrying out portrait on the off-staff according to the pre-stored data so as to obtain a staff type corresponding to the off-staff. All data generated by the off-staff during the period of staff can be stored under the name of the off-staff, all pre-stored data of the off-staff can be associated according to the staff identification after the staff identification corresponding to the off-staff is obtained, and accordingly pre-stored data of the off-staff can be obtained. For example, for an insurance agent, the data of all the insurance agents such as basic information, customer information, on-job performance, insurance type, on-job evaluation, performance, professional interest test and various evaluation results of the insurance agent during the on-job period are pre-stored under the name of the insurance agent, and the pre-stored data of the insurance agent can be obtained according to the unique personnel identification of the insurance agent, for example, the unique identification of the insurance agent such as the work number, the identification card number or the mobile phone number of the insurance agent.
Further, after the pre-stored data are obtained, the off-staff is imaged according to the pre-stored data of the off-staff, so that the staff type corresponding to the off-staff is obtained, wherein the off-staff is imaged, namely the image of the off-staff is described from a preset dimension, and therefore the staff type of the off-staff is identified. Different conditions can be distinguished and classified according to different application scenes, so that preset personnel types are set according to different specific dimensions. For example, for the insurance agent, the insurance agent may be classified into three types described in table 1 according to the performance and attitudes of the insurance agent, please refer to table 1, table 1 is a type corresponding to the off-staff in an example, and different off-staff suggested attitudes are adopted for each different type, so that after pre-stored data of the off-staff insurance agent is obtained, the type of the person to which the off-staff insurance agent belongs is identified according to the portrait result of the portrait of the off-staff insurance agent.
Table 1
Further, in order to accurately obtain the personnel identifier corresponding to the off-staff, other bad situations such as staff input errors or errors are avoided, and the personnel identifier of the off-staff can be automatically obtained through face recognition or fingerprint recognition. Referring to fig. 4, fig. 4 is a schematic diagram of a third sub-flow of an off-staff part-time recruitment method according to an embodiment of the present application. In this embodiment, as shown in fig. 4, the step of obtaining the person identifier corresponding to the off-office person includes:
S41, prompting the off-staff to acquire preset biological characteristics;
s42, acquiring preset biological characteristics of the off-staff;
s43, identifying the preset biological characteristics so as to identify target personnel objects corresponding to the preset biological characteristics;
s44, according to the target personnel object, acquiring a pre-stored personnel identifier associated with the target personnel, and taking the pre-stored personnel identifier as the personnel identifier of the off-staff.
Wherein the preset biometric characteristic comprises a face or a fingerprint.
Specifically, when an off-staff transacts an off-staff procedure, a staff identifier corresponding to the off-staff can be obtained through preset biological feature recognition such as face recognition or fingerprint recognition, the off-staff is prompted to perform face collection or fingerprint collection and other preset biological feature collection in response to operation of the off-staff, for example, face images are collected through face image collecting equipment such as a camera or fingerprint collecting equipment, face recognition is performed on the face images so as to match with pre-stored face images, fingerprint recognition is performed on the fingerprints so as to match with pre-stored fingerprints and other pre-stored biological features so as to identify a target staff object corresponding to the face images or fingerprints and other biological features, pre-stored staff identifiers associated with the target staff are obtained according to the target staff object, and the pre-stored staff identifiers are used as the staff identifiers of the off-staff, so that the off-staff is identified.
Further, in order to avoid the occurrence of errors in recognition by face recognition or fingerprint recognition, and improve the accuracy of target object recognition, before the step of acquiring the pre-stored personnel identifier associated with the target personnel according to the target personnel object, the method further includes:
displaying the target personnel object and prompting to confirm the target personnel object;
and if the operation of confirming the target personnel object is received, executing the step of acquiring the prestored personnel identifier associated with the target personnel according to the target personnel object.
Specifically, in order to ensure the correctness of the identified target personnel object, that is, the identified target personnel is consistent with the off-staff and is matched with the off-staff, after the target personnel object is identified, the off-staff can further confirm whether the identified target personnel object is the off-staff or not, and if the identified target personnel object is the off-staff, the pre-stored personnel identification associated with the target personnel is obtained according to the target personnel object, so that the personnel identification of the off-staff is obtained. If the identified target personnel object is not the off-staff member, the identified target personnel object is incorrectly identified, the off-staff member can be prompted to carry out face collection or fingerprint collection again, and the off-staff member is identified again until the identified target personnel object is the off-staff member, so that the accuracy of the identified target personnel object in the process of face recognition or fingerprint recognition is ensured.
In an embodiment, the step of performing online communication with the off-staff according to the preset off-staff communication scenario to perform part-time recruitment on the off-staff includes:
based on a preset AI virtual video, according to the preset off-job communication script, virtual video communication is carried out with the off-job personnel so as to recruit the off-job personnel.
Specifically, when a person handles an off-job, a part-job recruitment link based on an AI virtual video can be set as a mode of handling the off-job, so that the off-job person is guided to participate in the part-job through the part-job recruitment flow. For example, when the insurance agent handles the job departure, the part-time job recruitment link based on the AI virtual video can be set as the necessary link of the insurance agent to handle the job departure based on the characteristics of the insurance agent and in order to fully utilize the private domain flow of the insurance agent, so as to actively guide the insurance agent to participate in the part-time job of the insurance agent, fully utilize the human resources and the private domain flow of the insurance agent, and obtain win-win.
Due to the development of deep, AI virtual video applications are becoming more and more widespread, which have strong humanization, and many clients cannot distinguish whether they are true or not in the use process. In the interaction process with the off-staff, based on a preset AI virtual video, according to the preset off-staff communication script, through the interaction of the AI virtual video with the off-staff in various forms such as preset pictures, preset videos, preset audios, preset dialogs, preset information collection and the like, the off-staff is recruited for part-staff involuntarily, compared with the mode that part-staff recruitment flows of the off-staff are dead and only standardized part-staff recruitment pages are jumped in the prior art, the method and the device are capable of converting rich texts into interactive logics through various forms of personified communication, automatically generating by using AI capabilities, enhancing the stereoscopic impression and the infection force of the dialogs, improving the communication efficiency, and moving the off-staff from emotion, wherein the rich texts refer to contents such as pictures, videos, audios and the like, in addition to texts.
Further, by combining the images of the off-staff, recommending a proper preset AI virtual video image, communicating with the off-staff by using the preset AI virtual video image and sound, and matching the preset AI virtual video image matched with the off-staff, the communication efficiency with the off-staff can be improved, a better communication effect can be obtained, and the efficiency of part-time recruitment is improved. For example, 5-10 different forms and sounds can be preset, interaction can be carried out between the client and different off-site agents at random, corresponding data are accumulated, the final recruitment success rate is taken as a target, data learning is carried out through a preset deep neural network model, automatic matching of preset AI virtual video images and off-site personnel is carried out through the deep neural network model generated after learning, and the thousands of intelligent off-site recruitment based on AI virtual video dialogue provided by the embodiment of the application is realized through AI virtual video, and multi-form interaction with a user and more temperature dialogue experience are formed by adopting video synthesis and NLP related technologies.
Referring to fig. 5, fig. 5 is a schematic diagram of a fourth sub-flowchart of an off-staff part-time recruitment method according to an embodiment of the present application. As shown in fig. 5, in this embodiment, the pre-stored data includes a character type corresponding to the off-staff, and the step of performing virtual video communication with the off-staff according to the preset off-staff communication scenario based on the preset AI virtual video to perform part-time recruitment on the off-staff includes:
S51, acquiring a character type corresponding to the off-staff;
s52, acquiring a preset AI virtual video image corresponding to the character type according to the character type;
and S53, based on the preset AI virtual video image, carrying out virtual video communication with the off-staff according to the preset off-staff communication script so as to recruit the off-staff.
Specifically, according to the off-staff with different characters, the off-staff images are combined, a proper preset AI virtual video image is recommended, the preset AI virtual video image and sound are used for communicating with the off-staff, character factors of the off-staff are combined, the preset AI virtual video image matched with the off-staff is screened out through two angles of the image and the sound, the communication efficiency with the off-staff can be improved, a good communication effect is obtained, and therefore the efficiency of part-time recruitment is improved. For example, 5-10 different forms and sounds can be preset, interaction can be carried out between the preset and different off-staff agents at random, corresponding data are accumulated, the final recruitment success rate is taken as a target, data learning is carried out through a preset deep neural network model, the deep neural network model generated after learning is carried out later, character types corresponding to the off-staff are obtained from the pre-stored data, further preset AI virtual video images corresponding to the character types are obtained according to the character of the off-staff, automatic matching of the preset AI virtual video images and the off-staff is achieved, virtual video communication is carried out with the off-staff according to the preset off-staff communication script based on the preset AI virtual video images, and the off-staff is recruited.
Referring to fig. 6, fig. 6 is a schematic diagram of a fifth sub-flowchart of an off-staff part-time recruitment method according to an embodiment of the present application. As shown in fig. 6, in this embodiment, the step of performing virtual video communication with the off-office staff based on the preset AI virtual video according to the preset off-office communication scenario to perform part-office recruitment on the off-office staff includes:
s61, based on a preset AI virtual video, according to the preset off-job communication script, carrying out virtual video communication with the off-job personnel to obtain a communication result;
s62, generating a part-time suggestion corresponding to the communication result according to the communication result;
and S63, receiving selection or giving up of the part-time advice by the off-time personnel so as to obtain a part-time result corresponding to the off-time personnel.
Specifically, after the person type of the off-staff member is obtained, a preset off-staff communication script corresponding to the person type is obtained according to the person type, so that the communication with the off-staff member is performed through the preset off-staff communication script, and a communication result is obtained, and according to the communication result, for example, when there is a intention to perform the off-staff member, for example, a part-staff suggestion with temptation corresponding to the communication result is generated, for example, unless the user is definitely prevented from being willing to perform the part-staff member, the part-staff suggestion can be given to the general case, and the user is allowed to select whether to accept the part-staff member, and then the part-staff member selection or the part-staff member discarding is received, so that the part-staff member corresponding to the off-staff member is obtained. For example, in the industry of insurance agents, different specific communication flows or communication contents corresponding to different types of people can be carded out according to interview communication processes when off-line personnel are interviewed, the different communication flows and communication contents are set as preset off-job communication scripts, when the on-line recruitment is carried out based on AI virtual videos, after the personnel types corresponding to the insurance agents are acquired, preset off-job communication scripts corresponding to the personnel types are acquired, communication is carried out with the off-job personnel through the preset off-job communication scripts, and the communication flows, the communication contents and the communication problems are adjusted according to the information of the off-job personnel acquired in the communication process, so that the expected information is acquired in the process of interaction with the off-job personnel, and the communication result is obtained.
Further, after the conditions corresponding to the off-staff are obtained in the process of communicating with the off-staff through the preset off-staff, for example, after the off-staff is willing to perform the preset off-staff conditions such as whether the off-staff is willing to perform the off-staff, whether the private area flow is sufficient, whether the time is sufficient, etc., the off-staff is suggested as far as possible for strong off-staff willingness, sufficient private area flow and sufficient time, the off-staff is suggested as far as possible for the presence of the off-staff willingness, the general private area flow and the general time, the off-staff is strongly suggested, and the off-staff is suggested or not suggested for the absence of the off-staff willingness, the poor private area flow or the lack of the time.
Further, aiming at the part-time suggestion, the off-time personnel can select whether to participate in the part-time, if the off-time personnel select the part-time, the part-time result of the off-time personnel for performing the part-time is obtained, and if the off-time personnel select the part-time, the part-time result of the off-time personnel for not performing the part-time is obtained, so that the part-time recruitment based on the AI virtual video is realized.
Further, the preset off-office communication scenario includes a preset off-office communication main line scenario and a plurality of preset off-office communication auxiliary line scenarios (i.e., preset off-office communication branch line scenarios), and the step of performing on-line communication with the off-office staff according to the preset off-office communication scenario to perform part-office recruitment on the off-office staff not voluntarily including: acquiring a preset off-job communication main line script contained in the preset off-job communication script, and sending the content corresponding to the preset off-job communication main line script to the off-job personnel; receiving feedback information of the off-office personnel on the content; acquiring a preset off-office communication auxiliary line script corresponding to the feedback information, which is included in the preset off-office communication script, according to the feedback information; receiving another feedback information corresponding to the preset off-office communication auxiliary line script by the off-office personnel; and acquiring another preset off-job communication auxiliary line script corresponding to the other feedback information according to the other feedback information, and iteratively executing the step of receiving the other feedback information corresponding to the off-job communication auxiliary line script by the off-job personnel until the communication of the preset off-job communication script is finished.
Specifically, for the communication content of various different situations included in each personnel type, the preset off-job communication script may be set as a preset off-job communication main script and a preset off-job communication auxiliary script, communication is started from the preset main script, and according to the information obtained in communication, the communication is skipped to different preset off-job communication auxiliary scripts until another feedback information corresponding to the preset off-job communication auxiliary script by the off-job personnel is not matched to the next preset off-job communication script, and communication with the off-job personnel is ended. For example, in an example, when an insurance agent performs an off-job according to a preset off-job communication scenario and communicates with the off-job insurance agent, the system may advance downward according to a main scenario sequence, and the main procedure includes: the method comprises the steps of dialog handling of departure, safe co-situation video review (materials can be automatically organized to form videos), dialog questionnaires, pacifying based on departure reasons, brand information remodelling based on user portraits and answers, cost value setting and scene excitation, and finally completing departure and subscription. In the process, the historical materials of the user are aggregated and combined into a history review video, so that the users form a common emotion, and the reasons of the departure of the users, including household reasons, assessment reasons and the like, are collected through dialogue investigation. Because the user is mainly checking off-office, the main line flow mainly enables the off-office agent to first go on the part-office to sell life and comprehensive gold products, and helps to obtain extra 1000-2000 incomes per month. In the questionnaire, pacifying and scene excitation links, dialogue interaction is carried out with the user, and the follow-up links of the follow-up script can be continuously adjusted according to feedback information corresponding to answers of the user in the interaction process, for example, whether the user mentions own insurance clients or a lot of insurance clients in the departure reasons of the user, and the contents of the follow-up links are organized by selecting materials for pushing the insurance clients to sell insurance. According to the embodiment of the application, the user basic portrait is formed aiming at the user history data (including historical sales data, evaluation, basic information and occupational interest test results) by adopting thousands of people and thousands of faces, so that the user basic portrait is matched with a main script, more importantly, the branch content of the script can be continuously adjusted in the interaction process with the user to ensure the effectiveness of excitation, if the user is short in time, a system can emphasize that a platform can provide massive commodities and forwarding materials, so that the user can earn money by manually forwarding the commodities every day, and if the user is insurance client, but the time is out of duty, the platform can emphasize that a large number of tools and client operation and endowment can be provided to help the user to better complete online signing, and the efficiency of part job recruitment is improved by purposefully exciting part job requirements.
Further, the preset off-job communication main line scenario supports interruption to conduct question and answer consultation, and supports preset off-job communication auxiliary line plays in each link, for example, in a dialogue type questionnaire link, if the fact that the off-job is caused by examination is identified, the relevant pacifying content of examination can be called in the next stage, and the valuable setting of insurance earning can be continuously sold without examination, so that proper value transfer is given at a proper position, AI self-learning is conducted through recruitment success rate in the later period, and different image crowds and scenario branches are automatically matched, so that recruitment rate is continuously improved.
According to the embodiment of the application, the preset off-job communication main line script, the preset off-job communication auxiliary line script and other multi-level communication contents are set for the off-job personnel, so that the preset off-job communication auxiliary line script corresponding to different situations can be acquired, and compared with the aggregation situation of the preset off-job communication script in which all communication contents are set together, the efficiency of acquiring the preset off-job communication script can be improved, thereby shortening the process of preset off-job communication and improving the efficiency of preset off-job communication.
It should be noted that, the method for recruiting off-staff in the foregoing embodiments may re-combine the technical features included in the different embodiments according to the need to obtain a combined embodiment, which is within the scope of protection claimed in the present application.
Referring to fig. 7, fig. 7 is a schematic block diagram of an off-office staff member part-time recruitment apparatus provided in accordance with an embodiment of the present application. Corresponding to the off-staff part job recruitment method, the embodiment of the application also provides an off-staff part job recruitment device. As shown in fig. 7, the off-office part-office recruitment apparatus includes means for performing the off-office part-office recruitment method described above, which may be configured in a computer device. Specifically, referring to fig. 7, the off-office staff member part-time recruitment apparatus 70 includes a first acquisition unit 71, a second acquisition unit 72, and a communication unit 73.
Wherein, the first obtaining unit 71 is configured to obtain a person type corresponding to an off-staff member in response to an off-staff operation of the off-staff member;
a second obtaining unit 72, configured to obtain, according to the person type, a preset off-office communication scenario corresponding to the person type;
and a communication unit 73, configured to communicate with the off-staff online according to the preset off-staff communication scenario, so as to recruit the off-staff.
In an embodiment, the first obtaining unit 71 includes:
the response subunit is used for responding to the off-job operation of the off-job personnel and acquiring off-job willingness corresponding to the off-job personnel;
A judging subunit, configured to judge whether the off-job wish is an involuntary off-job;
and the first acquisition subunit is used for acquiring the personnel type corresponding to the off-staff if the off-staff will be the involuntary off-staff.
In an embodiment, the first obtaining unit 71 includes:
the second acquisition subunit is used for acquiring the personnel identification corresponding to the off-office personnel;
a third obtaining subunit, configured to obtain pre-stored data of the off-office personnel according to the personnel identifier;
and the portrait subunit is used for portrait the off-staff according to the pre-stored data so as to obtain the staff type corresponding to the off-staff.
In an embodiment, the second acquisition subunit comprises:
the prompt subunit is used for prompting the off-staff to acquire preset biological characteristics;
a fourth obtaining subunit, configured to obtain a preset biological feature of the off-office personnel;
the identification subunit is used for identifying the preset biological characteristics so as to identify target personnel objects corresponding to the preset biological characteristics;
and a fifth acquisition subunit, configured to acquire, according to the target person object, a pre-stored person identifier associated with the target person, and use the pre-stored person identifier as a person identifier of the off-staff.
In one embodiment, the communication unit 73 is configured to perform virtual video communication with the off-office staff according to the preset off-office communication scenario based on a preset AI virtual video, so as to recruit the off-office staff.
In an embodiment, the pre-stored data includes a character type corresponding to the off-staff, and the communication unit 73 includes:
a sixth obtaining subunit, configured to obtain a personality type corresponding to the off-office personnel;
a seventh obtaining subunit, configured to obtain, according to the character type, a preset AI virtual video image corresponding to the character type;
the first communication subunit is used for carrying out virtual video communication with the off-staff according to the preset off-staff communication script based on the preset AI virtual video image so as to recruit the off-staff.
In one embodiment, the communication unit 73 includes:
the second communication subunit is used for carrying out virtual video communication with the off-staff according to the preset off-staff communication script based on the preset AI virtual video so as to obtain a communication result;
a generating subunit, configured to generate a part-time suggestion corresponding to the communication result according to the communication result;
And the receiving subunit is used for receiving the selection or the giving up of the part-time advice by the off-time personnel so as to obtain a part-time result corresponding to the off-time personnel.
It should be noted that, as those skilled in the art can clearly understand, the specific implementation process of the above off-staff part-time recruiting device and each unit may refer to the corresponding description in the foregoing method embodiment, and for convenience and brevity of description, the detailed description is omitted here.
Meanwhile, the division and connection modes of the units in the off-staff part-time recruitment device are only used for illustration, in other embodiments, the off-staff part-time recruitment device can be divided into different units according to requirements, and different connection sequences and modes of the units in the off-staff part-time recruitment device can be adopted to complete all or part of functions of the off-staff part-time recruitment device.
The off-staff part-time recruitment apparatus described above may be implemented in the form of a computer program that is executable on a computer device as shown in fig. 8.
Referring to fig. 8, fig. 8 is a schematic block diagram of a computer device according to an embodiment of the present application. The computer device 500 may be a computer device such as a desktop computer or a server, or may be a component or part of another device.
With reference to fig. 8, the computer device 500 includes a processor 502, a memory, and a network interface 505, which are connected by a system bus 501, wherein the memory may include a non-volatile storage medium 503 and an internal memory 504, which may also be a volatile computer readable storage medium.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032, when executed, may cause the processor 502 to perform one of the off-office staff part-time recruitment methods described above.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the execution of a computer program 5032 in the non-volatile storage medium 503, which computer program 5032, when executed by the processor 502, causes the processor 502 to perform one of the off-office staff part recruitment methods described above.
The network interface 505 is used for network communication with other devices. It will be appreciated by those skilled in the art that the architecture shown in fig. 8 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting of the computer device 500 to which the present inventive arrangements may be implemented, as a particular computer device 500 may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components. For example, in some embodiments, the computer device may include only a memory and a processor, and in such embodiments, the structure and function of the memory and the processor are consistent with the embodiment shown in fig. 8, and will not be described again.
Wherein the processor 502 is configured to execute a computer program 5032 stored in a memory to implement the steps of: responding to the off-job operation of the off-job personnel, and acquiring the personnel type corresponding to the off-job personnel; according to the personnel types, acquiring preset leave-job communication scripts corresponding to the personnel types; and carrying out online communication with the off-staff according to the preset off-staff communication script so as to recruit the off-staff for part-time.
In an embodiment, when the step of obtaining the person type corresponding to the off-staff member in response to the off-staff operation of the off-staff member is implemented by the processor 502, the following steps are specifically implemented:
responding to the off-job operation of the off-job personnel, and acquiring the off-job willingness corresponding to the off-job personnel;
judging whether the off-duty will is non-voluntary off-duty;
and if the job leaving intention is a non-voluntary job leaving, acquiring the personnel type corresponding to the job leaving personnel.
In an embodiment, when implementing the step of acquiring the person type corresponding to the off-staff member, the processor 502 specifically implements the following steps:
acquiring a personnel identifier corresponding to the off-office personnel;
Acquiring pre-stored data of the off-office personnel according to the personnel identification;
and carrying out portrait on the off-staff according to the pre-stored data so as to obtain the staff type corresponding to the off-staff.
In an embodiment, when the step of obtaining the person identifier corresponding to the off-office person is implemented by the processor 502, the following steps are specifically implemented:
prompting the off-staff to acquire preset biological characteristics;
acquiring preset biological characteristics of the off-staff;
identifying the preset biological characteristics so as to identify target personnel objects corresponding to the preset biological characteristics;
and acquiring a pre-stored personnel identifier associated with the target personnel according to the target personnel object, and taking the pre-stored personnel identifier as the personnel identifier of the off-staff.
In an embodiment, when the processor 502 performs the step of online communication with the off-staff member according to the preset off-staff communication scenario to recruit the off-staff member, the following steps are specifically implemented:
based on a preset AI virtual video, according to the preset off-job communication script, virtual video communication is carried out with the off-job personnel so as to recruit the off-job personnel.
In an embodiment, the pre-stored data includes a character type corresponding to the off-office personnel, and the processor 502 specifically implements the following steps when implementing the step of performing part-time recruitment on the off-office personnel according to the preset off-office communication scenario and performing virtual video communication with the off-office personnel based on the preset AI virtual video:
acquiring a character type corresponding to the off-office personnel;
acquiring a preset AI virtual video image corresponding to the character type according to the character type;
based on the preset AI virtual video image, virtual video communication is carried out with the off-staff according to the preset off-staff communication script so as to recruit the off-staff.
In an embodiment, when the processor 502 performs the step of performing virtual video communication with the off-staff member according to the preset off-staff communication scenario based on the preset AI virtual video to perform the step of recruiting the off-staff member, the following steps are specifically implemented:
based on a preset AI virtual video, according to the preset off-job communication script, carrying out virtual video communication with the off-job personnel to obtain a communication result;
Generating a part-time suggestion corresponding to the communication result according to the communication result;
and receiving the selection or the giving up of the part-time advice by the off-time personnel so as to obtain a part-time result corresponding to the off-time personnel.
It should be appreciated that in embodiments of the present application, the processor 502 may be a Central processing unit (Central ProcessingUnit, CPU), and the processor 502 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf Programmable gate arrays (FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be appreciated by those skilled in the art that all or part of the flow of the method of the above embodiments may be implemented by a computer program, which may be stored on a computer readable storage medium. The computer program is executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present application also provides a computer-readable storage medium. The computer readable storage medium may be a non-volatile computer readable storage medium or a volatile computer readable storage medium, the computer readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the off-office staff member part-office recruitment method described in the above embodiments.
The computer readable storage medium may be an internal storage unit of the aforementioned device, such as a hard disk or a memory of the device. The computer readable storage medium may also be an external storage device of the device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the device. Further, the computer readable storage medium may also include both internal storage units and external storage devices of the device.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus, device and unit described above may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
The storage medium is a physical, non-transitory storage medium, and may be, for example, a U-disk, a removable hard disk, a Read-only memory (ROM), a magnetic disk, or an optical disk.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the application can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing an electronic device (which may be a personal computer, a terminal, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application.
While the application has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (6)
1. A method of recruiting off-office staff, comprising:
responding to the off-job operation of the off-job personnel, and acquiring the personnel type corresponding to the off-job personnel;
according to the personnel types, acquiring preset leave-job communication scripts corresponding to the personnel types;
according to the preset off-office communication script, carrying out on-line communication with the off-office personnel so as to recruit the off-office personnel for part-time job recruitment;
the step of obtaining the personnel type corresponding to the off-staff comprises the following steps:
acquiring a personnel identifier corresponding to the off-office personnel;
acquiring pre-stored data of the off-office personnel according to the personnel identification;
according to the pre-stored data, the off-staff is imaged to obtain the staff type corresponding to the off-staff;
the step of carrying out online communication with the off-staff according to the preset off-staff communication script to carry out part-time recruitment on the off-staff comprises the following steps:
based on a preset AI virtual video, according to the preset off-job communication script, carrying out virtual video communication with the off-job personnel so as to recruit the off-job personnel;
the pre-stored data comprises character types corresponding to the off-staff, and the step of performing virtual video communication with the off-staff according to the preset off-staff communication script based on the preset AI virtual video so as to recruit the off-staff comprises the following steps:
Acquiring a character type corresponding to the off-office personnel;
acquiring a preset AI virtual video image corresponding to the character type according to the character type;
based on the preset AI virtual video image, carrying out virtual video communication with the off-staff according to the preset off-staff communication script so as to recruit the off-staff;
the step of performing virtual video communication with the off-staff based on the preset AI virtual video according to the preset off-staff communication script to perform part-time recruitment on the off-staff comprises the following steps:
based on a preset AI virtual video, according to the preset off-job communication script, carrying out virtual video communication with the off-job personnel to obtain a communication result;
generating a part-time suggestion corresponding to the communication result according to the communication result;
and receiving the selection or the giving up of the part-time advice by the off-time personnel so as to obtain a part-time result corresponding to the off-time personnel.
2. The off-office job recruitment method of claim 1, wherein the step of obtaining the person type corresponding to the off-office job in response to the off-office job operation of the off-office job comprises:
Responding to the off-job operation of the off-job personnel, and acquiring the off-job willingness corresponding to the off-job personnel;
judging whether the off-duty will is non-voluntary off-duty;
and if the off-job willingness is not voluntary off-job, taking the off-job willingness as a condition for performing part-time recruitment on the off-job personnel, and acquiring the personnel type corresponding to the off-job personnel.
3. The off-office job recruitment method of claim 1, wherein the step of obtaining the person identification corresponding to the off-office job comprises:
prompting the off-staff to acquire preset biological characteristics;
acquiring preset biological characteristics of the off-staff;
identifying the preset biological characteristics so as to identify target personnel objects corresponding to the preset biological characteristics;
and acquiring a pre-stored personnel identifier associated with the target personnel according to the target personnel object, and taking the pre-stored personnel identifier as the personnel identifier of the off-staff.
4. An off-office staff member recruitment apparatus comprising:
the first acquisition unit is used for responding to the off-job operation of the off-job personnel and acquiring the personnel type corresponding to the off-job personnel;
The second acquisition unit is used for acquiring a preset off-office communication script corresponding to the personnel type according to the personnel type;
the communication unit is used for carrying out online communication with the off-staff according to the preset off-staff communication script so as to recruit the off-staff for part-time;
the first acquisition unit includes:
acquiring a personnel identifier corresponding to the off-office personnel;
acquiring pre-stored data of the off-office personnel according to the personnel identification;
according to the pre-stored data, the off-staff is imaged to obtain the staff type corresponding to the off-staff;
the communication unit includes:
based on a preset AI virtual video, according to the preset off-job communication script, carrying out virtual video communication with the off-job personnel so as to recruit the off-job personnel;
the pre-stored data comprises character types corresponding to the off-staff, and the step of performing virtual video communication with the off-staff according to the preset off-staff communication script based on the preset AI virtual video so as to recruit the off-staff comprises the following steps:
acquiring a character type corresponding to the off-office personnel;
Acquiring a preset AI virtual video image corresponding to the character type according to the character type;
based on the preset AI virtual video image, carrying out virtual video communication with the off-staff according to the preset off-staff communication script so as to recruit the off-staff;
the step of performing virtual video communication with the off-staff based on the preset AI virtual video according to the preset off-staff communication script to perform part-time recruitment on the off-staff comprises the following steps:
based on a preset AI virtual video, according to the preset off-job communication script, carrying out virtual video communication with the off-job personnel to obtain a communication result;
generating a part-time suggestion corresponding to the communication result according to the communication result;
and receiving the selection or the giving up of the part-time advice by the off-time personnel so as to obtain a part-time result corresponding to the off-time personnel.
5. A computer device comprising a memory and a processor coupled to the memory; the memory is used for storing a computer program; the processor being adapted to run the computer program to perform the steps of the method according to any of claims 1-3.
6. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the steps of the method according to any of claims 1-3.
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| CN110297973A (en) * | 2019-06-18 | 2019-10-01 | 中国平安财产保险股份有限公司 | A kind of data recommendation method based on deep learning, device and terminal device |
| CN110619506A (en) * | 2019-08-13 | 2019-12-27 | 平安科技（深圳）有限公司 | Post portrait generation method, post portrait generation device and electronic equipment |
| CN110889583A (en) * | 2019-10-11 | 2020-03-17 | 平安科技（深圳）有限公司 | AI interview method, device, computer equipment and computer-readable storage medium |
| CN110930106A (en) * | 2019-10-14 | 2020-03-27 | 平安科技（深圳）有限公司 | Information processing method, device and system of online interview system |
| CN110866096A (en) * | 2019-10-15 | 2020-03-06 | 平安科技（深圳）有限公司 | Intelligent answer control method and device, computer equipment and storage medium |
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