CN117764545A

CN117764545A - Method and device for processing position information, electronic equipment and storage medium

Info

Publication number: CN117764545A
Application number: CN202311597641.5A
Authority: CN
Inventors: 请求不公布姓名
Original assignee: Beijing Wuba Ganji Information Technology Co ltd
Current assignee: Beijing Wuba Ganji Information Technology Co ltd
Priority date: 2023-11-27
Filing date: 2023-11-27
Publication date: 2024-03-26

Abstract

The embodiment of the invention provides a processing method, a processing device, electronic equipment and a storage medium of position information, relating to the technical field of interface interaction, wherein the processing method comprises the following steps: after the AI dialogue is entered, the job hunting terminal carries out job matching according to job hunting intention information of the job hunting user, judges the tendency of the job hunting user to the job information according to the processing operation of the job hunting user to the job information after recommending the job information matched with the job hunting intention information for the job hunting user, and then carries out job recommendation based on the tendency of the job hunting user, so that the recommended job information is continuously optimized according to the tendency of the job hunting user to the job information under the condition that the job hunting user recommends the job, the accuracy of job recommendation is improved, and meanwhile, the job hunting user determines whether to participate in the face test according to the requirement under the condition that the recommended job information meets the requirement of the job hunting user, and the online face test conversion rate of the job is improved.

Description

Method and device for processing position information, electronic equipment and storage medium

Technical Field

The present invention relates to the field of interface interaction technologies, and in particular, to a method for processing position information, a device for processing position information, an electronic device, and a computer readable storage medium.

Background

With the development of network technology, job-seeking users can seek job on line through corresponding network platforms, and recruiting users can also seek job on line through corresponding network platforms, so that the convenience of job-seeking of users and recruitment of user units is greatly improved. The job seeker can create a resume of the job seeker on the corresponding network platform, so that the platform can conduct job recommendation based on the resume of the user. However, in the process, job recommendation can be usually performed only according to the existing job seeking intention on the resume of the user, and the tendency of the user to the recommended job cannot be judged, so that the job information recommended to the job seeking user cannot meet the actual requirement of the user, and meanwhile, even if the job information meets the requirement of the user, whether to perform the on-line next test or not can be determined after repeated and repeated communication between the job seeking user and the recruiting user, so that the on-line next test conversion rate of the corresponding job is low.

Disclosure of Invention

The embodiment of the invention provides a processing method, a processing device, electronic equipment and a computer readable storage medium for job information, which are used for solving or partially solving the problems that job recommendation cannot meet the requirements of users and the conversion rate of the offline test of the job is low.

The embodiment of the invention discloses a processing method of position information, which comprises the following steps:

step 1, responding to an AI session interface, and acquiring job hunting intention information;

step 2, displaying position information matched with the position seeking intention information in the AI session interface;

step 3, monitoring processing operation of a job-seeking user on the job information, and judging the tendency of the job-seeking user on the job information according to the processing operation of the job-seeking user on the job information;

if the job-seeking user expresses negative trend on the job information, executing a step 4, outputting an intention collecting message in the AI conversation interface, if the intention adjusting operation aiming at the intention collecting message is detected, updating the job-seeking intention information, and returning to the step 2, wherein the intention collecting message is used for collecting and updating the job-seeking intention information of the job-seeking user;

if the job seeker expresses the positive trend of the target job information, executing step 5, monitoring whether an AI double call record exists in the process of browsing the job information by the job seeker, and if so, executing step 601;

step 601, outputting a about surface guide message aiming at the target position information in the AI session interface, and monitoring user operation of the about surface guide message by the job seeker, wherein the about surface guide message is used for confirming whether the job seeker participates in a interview request of the target position information;

And if the confirmation operation of the job seeker on the job contracted guide message is monitored, executing the step 7, and sending a interview participation notification to a recruitment terminal where the recruiter to which the target position information belongs is located.

The embodiment of the invention also discloses a processing device of the position information, which comprises the following steps:

the job-seeking intention acquiring module is used for responding to the AI session interface to acquire job-seeking intention information;

the position display module is used for displaying position information matched with the position seeking intention information in the AI session interface;

the tendency confirmation module is used for monitoring the processing operation of the job-seeking user on the job information and judging the tendency of the job-seeking user on the job information according to the processing operation of the job-seeking user on the job information;

the negative trend processing module is used for outputting an intention collecting message in the AI session interface if the job-seeking user expresses a negative trend on the job information, and updating the job-seeking intention information if the intention adjusting operation aiming at the intention collecting message is detected, wherein the intention collecting message is used for collecting and updating the job-seeking intention information of the job-seeking user;

the positive trend processing module is used for monitoring whether an AI double call record exists in the process of browsing the position information by the job seeker if the job seeker expresses the positive trend of the target position information;

The about surface guiding module is used for outputting about surface guiding information aiming at the target position information in the AI conversation interface if the AI double-call record exists, and monitoring user operation of the about surface guiding information by the job seeker, wherein the about surface guiding information is used for confirming whether the job seeker participates in the interview request of the target position information;

and the interview notification sending module is used for sending interview participation notification to the recruitment terminal where the recruitment user to which the target position information belongs is located if the confirmation operation of the job seeker to the about surface guide message is monitored.

The embodiment of the invention also discloses electronic equipment, which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;

the memory is used for storing a computer program;

the processor is configured to implement the method according to the embodiment of the present invention when executing the program stored in the memory.

Embodiments of the present invention also disclose a computer-readable storage medium having instructions stored thereon, which when executed by one or more processors, cause the processors to perform the method according to the embodiments of the present invention.

The embodiment of the invention has the following advantages:

in the embodiment of the invention, after entering an AI dialogue, the job-seeking terminal can firstly perform job matching according to job-seeking intention information of a job-seeking user, and after recommending job information matched with the job-seeking intention information for the job-seeking user, judge the tendency of the job-seeking user to the job information according to the processing operation of the job-seeking user to the job information, then judge whether to enter a face-seeking process or collect the job-seeking intention information of the job-seeking user based on the tendency of the job-seeking user, so as to start new round of job recommendation based on the collected job-seeking intention information, thereby continuously optimizing the recommended job information according to the tendency of the job-seeking user to the job information under the condition of recommending the job-seeking user, improving the accuracy of job recommendation, and simultaneously determining whether to participate in the face according to the need of the job-seeking user under the condition that the recommended job information meets the requirement of the job-seeking user, and improving the under-line face-seeking test rate of the job.

Drawings

Fig. 1 is a step flowchart of a method for processing position information provided in an embodiment of the present invention;

FIG. 2 is a schematic illustration of an application interface provided in an embodiment of the present invention;

FIG. 3 is a schematic illustration of an application interface provided in an embodiment of the present invention;

FIG. 4 is a schematic illustration of an application interface provided in an embodiment of the present invention;

FIG. 5 is a schematic illustration of an application interface provided in an embodiment of the present invention;

FIG. 6 is a schematic diagram of an application interface provided in an embodiment of the present invention;

FIG. 7 is a schematic illustration of an application interface provided in an embodiment of the present invention;

FIG. 8 is a schematic illustration of an application interface provided in an embodiment of the present invention;

FIG. 9 is a schematic diagram of an application interface provided in an embodiment of the present invention;

FIG. 10 is a schematic illustration of an application interface provided in an embodiment of the present invention;

fig. 11 is a block diagram of a processing apparatus for job information provided in an embodiment of the present invention;

fig. 12 is a block diagram of an electronic device provided in an embodiment of the invention.

Detailed Description

In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.

As an example, job recommendation on a job hunting platform can only recommend according to the existing job hunting intention on a user resume, and the tendency of the user to the recommended job cannot be judged, so that the job information recommended to the job hunting user cannot meet the actual requirement of the user, and meanwhile, even if the job information meets the requirement of the user, whether to conduct a line down test or not can be determined after repeated and repeated communication between the job hunting user and the recruiting user, so that the line down test conversion rate of the corresponding job is low.

In the invention, corresponding application programs can be operated in the job hunting terminal, the application programs can provide AI interaction functions, interaction can be carried out with job hunting users through the functions, job hunting intention of the job hunting users is collected in the interaction process, and then job recommendation is carried out. Specifically, after entering an AI dialogue, the job hunting terminal can perform job matching according to job hunting intention information of the job hunting user, and after recommending job information matched with the job hunting intention information for the job hunting user, judge the tendency of the job hunting user to the job information according to the processing operation of the job hunting user to the job information, then judge whether to enter a face-about process or collect the job hunting intention information of the job hunting user based on the tendency of the job hunting user, so that a new round of job hunting is started based on the collected job hunting intention information, and therefore, under the condition that the job hunting is achieved, the recommended job information is continuously optimized according to the tendency of the job hunting user to the job hunting information, the accuracy of job hunting is improved, and meanwhile, under the condition that the recommended job hunting information meets the requirement of the job hunting user, the job hunting user can confirm whether to take part in the face-about trial according to the requirement, and the job hunting rate under the line is improved.

It should be noted that, the user terminal to which the job-seeking user belongs may be a job-seeking terminal, the user terminal to which the recruiting user belongs may be a recruiting terminal, and corresponding application programs may be run in the job-seeking terminal and the recruiting terminal, and functions such as online job-seeking, online recruiting, and the like may be provided through the application programs. In the online job hunting process, the job hunting user can create a user resume, browse job information, deliver the resume, initiate a session and the like; in the on-line recruitment process, the recruiter can issue job position information, screen resume, initiate conversation, etc., which is not limited by the invention.

In addition, for the collection of user data, the application may be to collect under local law and user authorization to ensure the security of the user data.

Referring to fig. 1, a step flow chart of a job information processing method provided in an embodiment of the present invention is shown, and the method is applied to a job hunting terminal, and may specifically include the following steps:

for the job hunting terminal, an application program operated by the terminal can provide an AI (artificial intelligence ) dialogue, after entering the AI dialogue, a job hunting user can interact with the AI according to own requirements, so that the AI collects job hunting intention information of the job hunting user, and performs job hunting according to the collected job hunting intention information, and meanwhile, after recommending corresponding job hunting information, the tendency of the user to the job hunting information can be further collected according to the tendency of the job hunting user, so that the collected job hunting intention information is continuously optimized, and more accurate job hunting information is provided for the job hunting user, so that the actual requirement of the job hunting user is met.

In some possible implementations, after the job-seeking user enters the AI session interface by inputting a corresponding operation on the job-seeking end, the job-seeking end may obtain job-seeking intent information of the job-seeking user. In a specific implementation, the job hunting terminal responds to an AI session interface to acquire the current time of entering and the historical time of entering the AI session interface last time, then the current time and the historical time can be compared, if the time difference between the current time and the historical time of entering the AI session interface last time is smaller than or equal to a preset duration threshold value, and a user resume of a job hunting user is detected, the historical job hunting intention information of the job hunting user is acquired, and in the case of inquiring the position information matched with the historical job hunting intention information, the position information matched with the historical job hunting intention information is displayed in the AI session interface; if the time difference between the current time and the historical time is larger than a preset duration threshold value and the user resume is detected, the first job hunting intention information in the user resume, a confirmation control for the first job hunting intention information and a modification control are output in the AI conversation interface.

It should be noted that, for a part of job-seeking users, which may not have created a user resume, i.e. use the AI dialogue function, the job-seeking terminal cannot obtain corresponding job-seeking intention information through the user resume, and then the job-seeking terminal may output a user resume creation guide message for the job-seeking user, so as to guide the job-seeking user to create a corresponding user resume through the user resume creation guide message. Specifically, the user resume creation guide message may include a cancel control and a create control, the creation of the user resume may be canceled by the cancel control, the user resume may be created by the create control, and the job seeker may exit the AI session interface in response to the selection operation for the cancel control; or, responding to the selection operation for the creation control, displaying a resume page for the job-seeking user, if the user inputs corresponding information in the resume page, the job-seeking terminal can respond to the input operation of the job-seeking user in the resume page, if the user resume of the job-seeking user is failed to be created, returning to an AI session interface, and outputting resume creation guide information; if the user resume of the job-seeking user is successfully created, an AI session interface is returned, job-seeking intention information in the user resume, a confirmation control and a modification control for the job-seeking intention information are output in the AI session interface, the user is guided to confirm the job-seeking intention information output by the terminal through the confirmation control, and the user is guided to modify the job-seeking intention information through the modification control, so that for the job-seeking user who does not create the user resume, the job-seeking end can guide the job-seeking user to create the corresponding user resume through outputting the corresponding resume creation guide message, so that the job-seeking intention information of the job-seeking user is extracted from the user resume, and the corresponding job information is recommended to the job-seeking user according to the job-seeking intention information.

In addition, for another part of job-seeking users, the user resume is already created, and the job-seeking terminal can execute different job recommendation operations according to the time difference between the current time of entering the AI session interface and the last time of entering the AI session interface. Specifically, when the time difference is smaller than or equal to a preset time threshold, the job hunting user is represented to enter the AI session interface for the second time within the preset time, and for the situation that the job hunting user enters the AI session interface for the second time, the job hunting terminal can directly acquire historical job hunting intention information of the job hunting user, inquire job information based on the historical job hunting intention information, and then output corresponding job information under the condition that the corresponding job information is inquired. The historical job-seeking intention information can be job-seeking intention information in a user resume, job-seeking intention information modified when a job-seeking user enters an AI conversation interface last time, and the like. Accordingly, when the time difference is greater than the preset time threshold, the job hunting user is represented to enter the AI conversation interface for the first time, for the condition of entering the AI conversation interface for the first time, the job hunting terminal can output the job hunting intention information in the user resume in the AI conversation interface, and the confirmation control and the modification control aiming at the job hunting intention information are displayed, the job hunting user can confirm the job hunting intention information output by the job hunting terminal through the confirmation control, and can modify the job hunting intention information output by the job hunting terminal through the modification control, and the like, so that the job hunting intention information of the job hunting user can be confirmed before entering the job hunting information recommendation, the job hunting information expected by the job hunting user can be recommended, and the user requirement is met.

In an example, referring to fig. 2, a schematic diagram of an application interface provided in an embodiment of the present invention is shown, when a job-seeking user enters an AI session interface for the first time within 7 days, and a corresponding user profile has been created, the job-seeking end may extract corresponding job-seeking intent information from the user profile, and output corresponding job-seeking intent information in the AI session interface, for example, "i first confirm your job-seeking intent: the job seeker mainly looks at Beijing area, the cashiers and the salesmen near the vegetable households work, the monthly salary range hopes to be about 2000-3000, corresponding confirmation information is output, the confirmation information comprises an accurate control and a correct control, if the job seeker selects the accurate control, the job seeker can further extract corresponding expected positions from job seeker information and output corresponding position confirmation information in an AI session interface, the position confirmation information can comprise corresponding position control, so that the job seeker can recommend position information of the corresponding positions according to selection of the position control by the job seeker, for example, recommending position information related to a ' cashier ', the job seeker can acquire job seeker direction information of the job seeker, including ' Beijing area ', vegetable house ', ' cashier ' and ' month ' 2000-3000 and the like, so as to inquire corresponding position information based on the information.

Accordingly, referring to fig. 3, when the job-seeking user triggers to modify the job-seeking intent through the "i need to modify" control, the job-seeking end may switch the intent editing page and display corresponding intent controls (such as a desired job position, a desired salary, a job-seeking area, a job-seeking status, etc.) in the intent editing page, so that the job-seeking user inputs (or selects) corresponding information, for example, the job-seeking intent after the job-seeking user modification includes: the desired positions are "administrative kitchen", "cashier"; the expected salary is 5000-8000 yuan/month; the job-seeking area is "Suzhou"; the job hunting state is 'job in-consideration opportunity', and the like, after the job hunting user is set, corresponding job hunting intention information can be stored, the job hunting terminal switches back to the AI dialogue interface according to user operation, prompt information of 'job hunting intention updated' is displayed in the AI dialogue interface, and then confirmation of a desired position can be carried out again so as to recommend corresponding position information for the user based on the desired position, so that the job hunting terminal can confirm the job hunting intention information of the job hunting user before entering the position information recommendation, and the user requirement can be met by recommending the desired position information for the job hunting user.

in the embodiment of the invention, after job seeking terminal determines job seeking intention information (comprising one of job seeking intention information in a user resume and job seeking intention information after user modification), the job seeking terminal can inquire the positions based on the job seeking intention information, and after inquiring the corresponding position information, the position information matched with the job seeking intention information is displayed in an AI session interface, so that the job seeking user browses the position information.

In some possible implementations, referring to fig. 4, for a job information query process, the query process may include:

step 201, inquiring position information matched with the position seeking intention information;

if no job information matched with the job-seeking intention information is queried, executing a step 202, outputting an intention collecting message in an AI session interface, if an intention adjusting operation aiming at the intention collecting message is detected, updating the job-seeking intention information, and returning to the step 201; the intention collecting message is used for collecting and updating the intention of the job-seeking user; if job information matching with the intention information is queried, step 203 is executed, and corresponding job cards are output in the AI conversation interface, wherein each job card is associated with at least one piece of job information.

The intention collecting message at least comprises an intention adjusting control and a position recommending control, a job seeker can adjust intention information through the intention adjusting control, and then position recommending is carried out through the position recommending control based on the adjusted intention information.

For the adjustment process of the job-seeking intention information, the terminal can respond to the selection operation of the intention adjustment control, display an intention editing page, if the job-seeking user inputs corresponding content in the intention editing page, the job-seeking terminal can respond to the input operation of the job-seeking user in the intention editing page, acquire the job-seeking intention information corresponding to the input operation, return to step 201 after the job-seeking user submits the corresponding job-seeking intention information, and determine whether to perform new-round job information inquiry and recommendation by the job-seeking terminal based on the updated job-seeking intention information. Accordingly, if the job-seeking user does not adjust the intention of job-seeking, but directly carries out a new round of job information recommendation through the job recommendation control, the job-seeking end can respond to the selection operation for the job recommendation control, return to step 201, and query whether the matched job information exists based on the same intention information of job-seeking; if the job-seeking user adjusts the intention of job-seeking through the intention adjustment control, and then selects the job recommendation control to recommend the job, the job-seeking end can respond to the selection operation for the job recommendation control, return to step 201, and query whether the matched job information exists based on the adjusted intention information of job-seeking.

The method is characterized in that the two returned results do not contain repeated content, for example, the job end group inquires about the destination information (1) and the job information (2) by virtue of the job recommendation control, when the job user does not modify the job intention information, and when the job user inquires about the job intention information by virtue of the job recommendation control, the job end group can continue to inquire the job intention information based on the job intention information (1), the job information (2) and the job information (3) if the job intention information (1) is inquired, the job information (2) is not recommended, for example, the job end group can inquire the intention information (1) and the job intention information (2) by virtue of the job user, the job intention information (2) is further recommended by virtue of the job end group, and the job intention information (2) is further inquired by virtue of the job recommendation control, and the job intention information (A) is further inquired by virtue of the job recommendation control, the job intention information (2) is further inquired by virtue of the job intention information is further collected by virtue of the user when the job end group is not recommended by virtue of the intention information (1) and the job intention information (3) is correspondingly inquired, the job intention information (2) is further recommended by virtue of the job intention information A is collected when the job end group is not is required by virtue of the intention information (2) is correspondingly inquired by the job intention information (a user), the job-seeking user can be guided to adjust the job-seeking intention through outputting the intention collecting message so as to further collect the job-seeking intention of the job-seeking user, then the next round of job recommendation is further performed, further the job-seeking intention of the job-seeking user is continuously collected in real time through interaction between the AI and the job-seeking user, the job-seeking intention information is updated, then the job recommendation is performed, each time of the job recommendation can meet the expectations of the job-seeking user as much as possible, and the accuracy of the job recommendation is improved.

In an alternative implementation manner, before the job information query is performed, the job hunting terminal can extract the expected job position in the job hunting intention information, judge whether the job hunting intention information is single expected or multiple expected, and if the job hunting intention of the job hunting user is multiple expected, further collect the job hunting intention of the job hunting user so as to query the job position information of the corresponding job position in a targeted manner. Specifically, the job hunting terminal can monitor whether the expected positions in the job hunting intention information are greater than or equal to 2, if the expected positions are greater than or equal to 2, at least two position controls matched with the job hunting intention information are output in the AI conversation interface, and each position control corresponds to one expected position so that a job hunting user can select one expected position from the expected positions; if the number of the expected positions is 1, inquiring position information matched with the expected positions, so that the number of the expected positions is identified by analyzing the position-seeking intention information of the position-seeking user, and position inquiry is carried out based on the identification result, and position inquiry can be carried out pertinently, thereby reducing the time of position inquiry and improving the inquiry efficiency.

In one example, referring to fig. 5, when the job seeker sets multiple desired positions, after determining the job seeker's intention information, the job seeker may output a corresponding position confirmation message in the AI session interface, e.g., "what next chance you want to see which position first,? Providing corresponding post controls including a cashier, a takeaway and the like, meanwhile, assuming that a job-seeking user selects the cashier, the job-seeking end can inquire whether a job position matched with the cashier and other job-seeking intention information (information except the expected job position) of the job-seeking user exists or not, and if so, outputting a corresponding job position card in an AI (analog interface) session interface; if the query is not completed, an intention collecting message can be output in the AI session interface to prompt the job seeker to continue to inquire the job position by adjusting the intention of job seeker, for example, the job seeker can output the information that ' very sorry-little assistant temporarily does not find a proper working opportunity ', i.e. let me sit for a while, you can try on ' and provide a ' more intention to seeker ' control (i.e. intention adjusting control) and an ' intelligent recommendation ' control (i.e. job position recommendation control) in the AI session interface. In one case, when the job seeker selects "intelligent recommendation" to recommend job information without modifying the job intention through the "more job intention" control, the job seeker may perform job inquiry based on the "cashier" and related job intention information; in another case, the job hunting user modifies the job hunting intention (for example, modifies to be an "administrative master kitchen") through the "more job hunting intention" control, and then selects the "intelligent recommendation" to recommend the job information, the job hunting terminal can perform job hunting based on the modified "administrative master kitchen" and the related job hunting intention information (for example, job hunting area, job hunting salary, job hunting state, etc.), no matter what case, under the condition that the corresponding job information is queried, the job hunting terminal can output the corresponding job card in the AI session interface, so that the user can acquire the corresponding information through the job card; under the condition that job information is not queried, the job seeker can continue to output intention collecting information in the AI conversation interface so as to continuously guide a job seeker to adjust the intention of job seeker, and then start a new round of job inquiry and recommendation, so that the job seeker can conduct job inquiry in a targeted manner based on the recognition result by analyzing the intention information of job seeker, so that the time of job inquiry is reduced, and the inquiry efficiency is improved.

for the position cards, each position card can be associated with at least one position information, when a position-seeking user selects the corresponding position card, the position-seeking terminal can switch and display an AI conversation interface as a position detail page of the corresponding position card, and a corresponding tendency control is displayed in the position detail page, so that the position-seeking user expresses tendency to the position information through the tendency control based on own requirements.

In some possible implementations, the trend control displayed on the job detail page may include a negative trend control and a positive trend control, through which negative trend opinion on job information may be expressed, and through which positive trend opinion on job information may be expressed, so that the job seeker may obtain tendency of the job seeker to the job information by monitoring processing operation of the user on the job information, and further execute corresponding interactive operation according to the tendency of the job seeker to the job information.

In the process of judging the tendency of the job-seeking user to the job information, the job-seeking end can respond to the selection operation for the job card, display a job detail page corresponding to the Nth job card and a tendency control for the Nth job card, wherein the tendency control at least comprises a negative tendency control and a positive tendency control, N is greater than or equal to 1, and if the selection operation of the job-seeking user to the positive tendency control is detected, a session request for the Nth job card is sent to a recruitment end corresponding to the Nth job card; if the selection operation of the job hunting user on the negative trend control is detected, the content trend control for the job information is displayed, and the negative feedback information of the job hunting user is determined according to the selection operation of the job hunting user on the content trend control, so that on one hand, after the job hunting user browses the job information meeting the job hunting requirement of the job hunting user, a session request with the recruitment user can be initiated through the positive trend control, the communication flow of on-line job hunting is simplified, on the other hand, the job hunting terminal determines the tendency of the job hunting user on the recommended job information according to the processing operation of the job hunting user on the job information, and corresponding interactive operation is further executed based on the tendency.

The job hunting terminal can check the validity of the position information related to the position card to judge whether the position information is still in a valid state (namely whether the position information is still in recruitment) in the display process of the tendency control, if the position information related to the Nth position card is valid position information, the negative tendency control and the positive tendency control for the Nth position card are displayed, so that a user expresses the tendency of the position information through the positive tendency control and the negative tendency control; if the position information associated with the Nth position card is the invalid position information, a switching control for the Nth position card is displayed, so that the job seeker can directly switch to the next position information through the switching control according to the position information already invalid, and invalid browsing workload is reduced.

In a specific implementation, the positive trend control may be a session request control, through which a user resume of the job-seeking user may be sent to a recruitment end corresponding to the target job information, and a corresponding session request is initiated at the same time, then the job-seeking end may detect whether the user resume of the job-seeking user exists in response to a selection operation for the session request control, if the user resume of the job-seeking user is not detected, a guide floating window is created for the resume of the job-seeking user is displayed, and if the job-seeking user is detected to complete the creation of the user resume, a session request for the nth job card is sent to the recruitment end corresponding to the nth job card, and the user resume is sent; and if the user resume of the job seeker is detected, transmitting a session request aiming at the Nth job card to a recruitment end corresponding to the Nth job card. The resume creation guide floating window at least comprises a cancel control and a create control, and the job-seeking end can close the resume creation guide floating window in response to the selection operation for the cancel control; or, in response to a selection operation for the creation control, displaying a resume page for the job-seeking user, and in response to an input operation of the job-seeking user in the resume page, if the user resume of the job-seeking user is created, returning to the job detail page and outputting a resume creation guide floating window, if the user resume of the job-seeking user is successfully created, sending a session request for the Nth job card to a recruitment terminal corresponding to the Nth job card, thereby, by detecting whether the user resume exists, only when the job-seeking user has created the user resume, initiating the session request with the recruitment terminal, so that the recruitment terminal can acquire the user resume of the job-seeking user while receiving the session request, so that the recruitment user can check the user resume to judge whether the job-seeking user meets the job requirement of job information, further determining whether the session request of the corresponding job-seeking user exists, and guaranteeing the validity of the online session.

In addition, after the job hunting terminal sends the session request to the recruitment terminal, the job hunting terminal can also respond to the successful sending of the session request to the recruitment terminal, and display a voice call guiding floating window for the Nth position card, wherein the voice call guiding floating window at least comprises a waiting call control and an active call control, so that the job hunting user is guided to actively initiate the voice call through the voice call guiding floating window, and the success rate of online session is improved. In a specific implementation, if the job-seeking user selects the waiting call control, the job-seeking terminal can respond to the selection operation of the waiting call control to output voice call prompt information for the Nth job card, and prompt the job-seeking user to pay attention to incoming call information through the voice call prompt information; if the job seeker selects the active call control, the job seeker can respond to the selection operation of the active call control to initiate a voice call request to the recruiter, if the voice call is successful, the AI double call record of the Nth job card is recorded, so that the job seeker can also wait or actively communicate with the recruiter through the call control under the condition of successfully initiating the session request, and the efficiency of on-line job seeker is improved.

For the processing procedure of negative tendency, the negative tendency control is a negative control, the job hunting terminal can respond to the selection operation for the negative control to output a content feedback floating window for the nth position card, the content feedback floating window comprises content feedback controls corresponding to different feedback conditions, the job hunting user can select the corresponding content feedback control to submit feedback information for the nth position card, and specifically, the job hunting terminal can respond to the selection operation for the content feedback control to acquire the negative feedback information for the nth position card. The content feedback control may include a first type feedback control and a second type feedback control, where the first type feedback control may be used to reduce similar content recommendation, and the second type feedback control may be used to optimize content recommendation, for example, for the first type feedback control, the corresponding feedback information may include "don't want to find …", "wage low", "Fu Liu", "job site far", "don't interest" for the company, and so on; for the second type of feedback control, the corresponding feedback information can include "the working experience requirement is not matched", "the same position is recommended", "the position is false and deceptive …", so that the position information which is not interested or has problems for the position-seeking user can be fed back through the content feedback control, and the position recommendation process can be reduced or optimized.

In the process of browsing the position information corresponding to the position card, if the Nth position card is not the last position card corresponding to the position intention information, ending in response to the session request, or in response to collecting negative feedback information for the Nth position card, or in response to a selection operation for a switching control, displaying a position detail page corresponding to the N+1th position card and a tendency control for the N+1th position card, so that a position seeking user browses the position information corresponding to the N+1th position card; if the Nth position card is the last position card corresponding to the job seeking intention information, responding to the end of the session request, or responding to the collection of negative feedback information for the Nth position card, or responding to the selection operation for the switching control, returning to the AI dialogue interface so that the job seeking user can continue to perform corresponding position recommendation operation in the AI dialogue interface.

In an example, referring to fig. 6, after the job-seeking user selects the nth job card, the job-seeking end may switch and display the AI session interface as a job detail page corresponding to the nth job card, and if the job is valid, the job-seeking end may display a corresponding "unsuitable" control and "chat" control in the job detail page. The job hunting user can initiate a corresponding session request through a chat control if the job information is considered to be in accordance with the self requirement, the job hunting terminal can send the session request aiming at the job information to the corresponding recruitment terminal, and after the sending is successful, a corresponding voice call guiding floating window is displayed in the page so as to guide the job hunting user to actively initiate voice call with the recruitment user; if the job seeker considers that the job information does not meet the requirement of the job seeker, the job seeker can switch to the (n+1) th job card through the "next" control to browse the next job information, or can submit corresponding feedback information through the "unsuitable" control, specifically, referring to fig. 7, for the already-spent job information, the job seeker does not display the trend control, but displays the "next" control (namely, the switching control) so as to switch to the next job information by the job seeker; accordingly, when the job-seeking user selects the "unsuitable" control, the job-seeking end may display a corresponding content feedback floating window, so as to select a corresponding target content feedback control from the content feedback control provided in the content feedback floating window, and feedback negative feedback information for the job information to the back end, so as to reduce recommendation of invalid content and/or optimize recommended content.

In addition, referring to fig. 8, if the job seeker does not want to continue browsing the job information corresponding to the job card, the job seeker can exit the job detail page through the "exit" control, after detecting the exit trend of the job seeker, the job seeker can display a corresponding prompt floating window in the page to confirm whether to exit the browsing of the job information, if the job seeker confirms to exit, the job seeker can return to the AI session interface; if the job seeking user continues browsing, the job seeking user is continuously presented with a job detail page, which is not limited by the invention.

Based on the above process, the job hunting terminal can determine the tendency of the job hunting user to the job information according to the processing operation of the job hunting user to the job information, if the job hunting user expresses the negative tendency to the job information, the step 4 is executed, the intention collecting message is output in the AI conversation interface, if the intention adjusting operation aiming at the intention collecting message is detected, the job hunting intention information is updated, and the step 2 is returned, so that the new round of job recommendation is started based on the updated job hunting intention information; if the job-seeking user expresses the positive trend of the target job information, executing the step 5, monitoring whether an AI double call record exists in the process of browsing the job information by the job-seeking user, if so, executing the step 601, outputting a about surface guide message aiming at the target job information in an AI session interface, and monitoring the user operation of the job-seeking user on the about surface guide message, wherein the about surface guide message is used for confirming whether the job-seeking user participates in the interview request of the target job information; if the confirmation operation of the job hunting user on the appointment guide message is monitored, step 7 is executed, and an interview participation notification is sent to the recruitment end where the recruitment user to which the target job information belongs is located, so that the recommended job information is continuously optimized according to the tendency of the job hunting user to the job information under the condition that the job hunting user is recommended, the accuracy of job recommendation is improved, and meanwhile, the job hunting user can determine whether to participate in interviews according to the requirement under the condition that the recommended job information meets the requirement of the job hunting user, and the offline test conversion rate of the job is improved.

Correspondingly, if the AI double call record does not exist, executing step 602, and outputting an intention condition adjustment message in the AI session interface, wherein the intention condition adjustment message at least comprises a position switching control and a condition adjustment control; if the selection operation for the job position switching control is detected, returning to the step 201 to query job position information according to job position seeking intention information and recommend new job position information for a job position seeking user; if the selection operation for the condition adjustment control is detected, executing step 8, displaying a screening floating window for job hunting intention information, if the input operation for the screening floating window is detected, obtaining corresponding job hunting intention information, returning to step 201 so as to start new job recommendation, querying corresponding job information according to the adjusted job hunting intention information, and recommending new job information for a job hunting user. The application program can record AI double-call records aiming at corresponding position information so as to push about surface guide information to a job-seeking user according to the AI double-call records, and recommend a interview process aiming at the position information so as to improve the offline interview conversion rate of the position information.

In addition, in the process of job recommendation, the method can further comprise the following steps:

and 9, responding to the confirmation operation or the rejection operation aiming at the about surface guide message, outputting an intention collection message in the AI session interface, if the intention adjustment operation aiming at the intention collection message is detected, obtaining corresponding job-seeking intention information, and returning to the step 201.

It should be noted that, when the job-seeking user inputs a confirmation operation for the about-face guide message and confirms the next trial with the recruiter, the job-seeking end may determine that the primary process of one-time job recommendation is completed, that is, "acquiring job-seeking intention information" - "job recommendation" - "session request (delivery resume)" - "AI double call" - "confirmation trial", so far, for the on-line processing process of the corresponding job information, the job-seeking user and the recruiter may perform the next trial based on the content determined by on-line communication, and for the job-seeking end, it may determine that the primary process is completed, then output the corresponding intention collecting message in the AI session interface to open the process of new round of job recommendation, so as to construct a humanized conversation process; correspondingly, when the user inputs rejection operation for the about surface guide message and does not perform a line down test with the recruitment user, the job seeker is characterized in that the job seeker still does not find a proper job position, and the job seeker can output a corresponding intention collection message in the AI conversation interface, and the purpose is to continuously collect job seeker intention of the job seeker so as to continuously recommend corresponding job position information for the job seeker.

In addition, the tendency of the job information includes that the job-seeking user explicitly expresses positive tendency opinions through the positive tendency control and expresses negative tendency opinions through the negative tendency control, and the method also includes that the job-seeking user does not act as the job-seeking terminal outputs a job card matched with the job-seeking intent information in the AI conversation interface, if the user operation on the job card is not detected for a preset duration, the job-seeking terminal can judge that the job-seeking user is not interested in the recommended job information, the job-seeking terminal can output intent condition adjustment information in the AI conversation interface, so that the job-seeking user is guided to adjust job screening conditions through the intent condition adjustment information, and more targeted job information is recommended for the job-seeking user.

In one example, referring to fig. 9, after the job-seeking user completes browsing the job information, the job-seeking end may perform a corresponding interactive operation according to the tendency of the job-seeking user to the job information, and in particular, in the case that the AI double call record exists, the job-seeking end may output a about-face guidance message in the AI session interface, for example, "Hi-! The recruiter who just finds [ XXX company ] [ XXX job name ] [ do you get a phone call with you, communicate smoothly, you consider to go to interview? The method comprises the steps of providing a control which can be considered and a control which can not be considered, if a job-seeking user selects the control which can be considered, outputting corresponding feedback information in an AI conversation interface by the job-seeking end, for example, if the control is too good, reminding the opponent and the opponent to agree with interview time immediately, and hopeing that the job-seeking is successful, outputting intention collection information in the AI conversation interface so as to start a process of recommending new job positions, and aiming at constructing a humanized conversation flow; if the job-seeking user selects the "do not want to go" control, the job-seeking end can output a feedback message in the AI session interface, for example, if the job-seeking end is good, the small assistant continues to help you find more proper working opportunities, pay attention to my reminding messages, and output an intention collecting message in the AI session interface so as to continue to collect job-seeking intention of the job-seeking user and continue to recommend corresponding position information for the job-seeking user. Further, if the job-seeking user selects the "update job-seeking intent" control in the intent collection message, the job-seeking end can jump to the intent editing page so that the job-seeking user edits the corresponding job-seeking intent and stores the new job-seeking intent, then if the job-seeking user further selects the "continue recommendation" control, the job-seeking end can perform job inquiry based on the updated job-seeking intent and output the corresponding job card in the AI session interface under the condition that the corresponding job information is inquired.

In addition, for the situation that the job information recommended by the job seeker is not interested in, referring to fig. 10, if the job seeker only initiates a session request (the session request is initiated through "can chat" in the browsing process) but does not have an AI double call record, or only browses the job information, and does not initiate the session request, the job seeker can output a corresponding intention condition adjustment message in the AI session interface when the job seeker finishes browsing the job information and returns to the AI session interface, for example, the former can correspondingly output an opportunity that "you can see a heart meter", then can tell me more that you can better recommend a task, the latter can correspondingly output a task that "you can look like, have no relation, then can tell me thought about something, the help assistant can better recommend a task, and can provide a batch of intention and can search for a task control in a corresponding condition adjustment message, and can search for a condition by a task control by a batch of' complete condition. It should be noted that, the content of the dashed line part and the content of the solid line part are in parallel, and in the AI dialogue process, the job seeker can display one of the interactive messages in the AI dialogue interface according to the tendency of the job seeker to the job information, which is not limited by the invention.

Specifically, when the job-seeking user selects the "perfect screening condition" control to perfect the query condition, the job-seeking end may display a corresponding screening floating window, where the screening floating window may include parent nodes such as "company scale", "welfare treatment", "salary range", "sales experience", "workplace", and the like, and each parent node may correspond to a plurality of child nodes, so that the job-seeking user selects according to his own needs. When the job-seeking user updates the job-seeking intent, the job-seeking terminal can continue to inquire the positions based on the updated job-seeking intent, and if the corresponding position information is inquired, the corresponding position card is output in the AI conversation interface; if not, corresponding feedback information is output in the AI conversation interface, such as 'unfortunately'. The small assistant temporarily does not find a proper position according to the current job seeking intention and preference, and can continuously find and remember about the APP reminding message or the like, so that the recommended position information is continuously optimized according to the tendency of the job seeking user to the position information under the condition of recommending the position for the job seeking user, the accuracy of the position recommendation is improved, and meanwhile, the job seeking user can determine whether to participate in the interview according to the requirement of the job seeking user under the condition that the recommended position information meets the requirement of the job seeking user, and the offline test conversion rate of the position is improved.

It should be noted that the embodiments of the present invention include, but are not limited to, the foregoing examples, and it will be understood that those skilled in the art may also set the embodiments according to actual requirements under the guidance of the concepts of the embodiments of the present invention, which are not limited thereto.

It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments, and that the acts are not necessarily required by the embodiments of the invention.

Referring to fig. 11, a block diagram of a job information processing apparatus provided in an embodiment of the present invention may specifically include the following modules:

the job hunting intention obtaining module 1101 is configured to obtain job hunting intention information in response to entering the AI session interface;

the job display module 1102 is configured to display job information matched with job hunting intention information in the AI session interface;

the tendency confirmation module 1103 is configured to monitor a processing operation of the job information by a job-seeking user, and determine a tendency of the job-seeking user to the job information according to the processing operation of the job-seeking user to the job information;

The negative trend processing module 1104 is configured to output an intent collection message in the AI session interface if the job-seeking user expresses a negative trend for the job information, and update job-seeking intent information if an intent adjustment operation for the intent collection message is detected, where the intent collection message is used to collect and update job-seeking intent information of the job-seeking user;

the positive trend processing module 1105 is configured to monitor whether an AI double call record exists in the process of browsing the job information by the job seeker if the job seeker expresses a positive trend on the target job information;

the about surface guiding module 1106 is configured to output about surface guiding messages for the target job information in the AI session interface if there is an AI double call record, and monitor user operations of the about surface guiding messages by the job seeker, where the about surface guiding messages are used to confirm whether the job seeker participates in the interview request of the target job information;

the interview notification sending module 1107 is configured to send an interview participation notification to a recruitment terminal where the recruiter to which the target position information belongs, if a confirmation operation of the job seeker on the about-plane guide message is monitored.

In some possible implementations, the job display module 1102 is specifically configured to:

inquiring position information matched with the job hunting intention information;

if the position information matched with the position seeking intention information is not inquired, outputting an intention collecting message in the AI conversation interface, if the intention adjusting operation aiming at the intention collecting message is detected, updating the position seeking intention information, and executing the process of inquiring the position information matched with the position seeking intention information;

and if the job information matched with the job seeking intention information is inquired, outputting corresponding job cards in the AI conversation interface, wherein each job card is associated with at least one piece of job information.

In some possible implementations, the tendencies confirmation module 1103 is specifically configured to:

responding to the selection operation for the position cards, displaying position detail pages corresponding to the Nth position card and trend controls for the Nth position card, wherein the trend controls at least comprise negative trend controls and positive trend controls, and N is greater than or equal to 1;

if the selection operation of the job hunting user on the positive trend control is detected, a session request aiming at the Nth position card is sent to a recruitment end corresponding to the Nth position card;

And if the selection operation of the job hunting user on the negative trend control is detected, displaying a content trend control for job information, and determining negative feedback information of the job hunting user according to the selection operation of the job hunting user on the content trend control.

In some possible implementations, the positive trend control is a session request control, and the trend confirming module 1103 is specifically configured to:

responding to the selection operation of the session request control, and detecting whether a user resume of the job-seeking user exists or not;

if the user resume of the job-seeking user is not detected, a resume creation guide floating window aiming at the job-seeking user is displayed, and if the job-seeking user is detected to finish the creation of the user resume, a session request aiming at the Nth position card is sent to a recruitment end corresponding to the Nth position card;

and if the user resume of the job seeker is detected, sending a session request aiming at the Nth position card to a recruitment end corresponding to the Nth position card.

In some possible implementations, the resume creation guide floating window includes at least a cancel control and a create control, and the tendency confirmation module 1103 is specifically configured to:

Closing the resume creating guide floating window in response to the selection operation of the cancel control;

or, in response to a selection operation for the creation control, displaying a resume page for the job-seeking user, and in response to an input operation of the job-seeking user in the resume page, if the user resume for creating the job-seeking user fails, returning to the job detail page and outputting the resume creation guide floating window;

and if the user resume of the job seeker is successfully created, sending a session request aiming at the Nth position card to a recruitment end corresponding to the Nth position card.

In some possible implementations, the tendencies confirmation module 1103 is specifically further configured to:

responding to the successful sending of the session request to the recruitment end, displaying a voice call guiding floating window aiming at the Nth position card, wherein the voice call guiding floating window at least comprises a waiting call control and an active call control;

responding to the selection operation of the waiting call control, and outputting voice call prompt information of the Nth position card;

or, in response to the selection operation for the active call control, initiating a voice call request to the recruitment terminal, and if the voice call is successful, recording an AI double call record for the Nth position card.

In some possible implementations, the negative trend control is a negative control, and the negative trend processing module 1104 is specifically configured to:

outputting a content feedback floating window for the Nth position card in response to the selection operation for the negative control, wherein the content feedback floating window comprises content feedback controls corresponding to different feedback conditions;

and responding to the selection operation of the content feedback control, and acquiring negative feedback information of the Nth position card.

if the position information associated with the Nth position card is effective position information, displaying a negative trend control and a positive trend control for the Nth position card;

and if the position information associated with the Nth position card is the failure position information, displaying a switching control for the Nth position card.

if the nth position card is not the last position card corresponding to the intention information of the job, ending in response to the session request, or responding to the collection of negative feedback information for the nth position card, or responding to the selection operation for the switching control, displaying a position detail page corresponding to the (n+1) th position card and a tendency control for the (n+1) th position card;

And if the Nth position card is the last position card corresponding to the job seeking intention information, ending the conversation in response to the session request, or returning to the AI dialogue interface in response to the collection of negative feedback information for the Nth position card or in response to the selection operation for the switching control.

and if the user operation on the job card is not detected for the preset time, outputting an intention condition adjustment message in the AI conversation interface.

In some possible implementations, the apparatus further includes:

the intention adjusting module is used for outputting an intention condition adjusting message in the AI conversation interface if the AI double call record does not exist, wherein the intention condition adjusting message at least comprises a position switching control and a condition adjusting control;

the job position switching module is used for executing the process of inquiring job position information matched with job seeking intention information if the selection operation for the job position switching control is detected;

and the screening condition processing module is used for displaying a screening floating window aiming at job-seeking intention information if the selection operation aiming at the condition adjustment control is detected, acquiring corresponding job-seeking intention information if the input operation aiming at the screening floating window is detected, and executing a process of inquiring job information matched with the job-seeking intention information.

In some possible implementations, further comprising:

and the intention collecting module is used for responding to the confirmation operation or the rejection operation of the about surface guide message, outputting the intention collecting message in the AI conversation interface, acquiring corresponding job-seeking intention information if the intention adjusting operation of the intention collecting message is detected, and executing the process of inquiring the position information matched with the job-seeking intention information.

In some possible implementations, the intent collection message includes at least an intent adjustment control and a job recommendation control, and the job display module 1102 is specifically configured to:

displaying an intention editing page in response to a selection operation for the intention adjustment control;

responding to the input operation of the job hunting user in the intention editing page, and acquiring job hunting intention information corresponding to the input operation;

and responding to the selection operation of the position recommendation control, and executing the process of inquiring position information matched with the position searching intention information.

For the device embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference is made to the description of the method embodiments for relevant points.

In addition, the embodiment of the invention also provides electronic equipment, which comprises: the processor, the memory, store the computer program on the memory and can run on the processor, this computer program realizes each course of the processing method embodiment of the job information of the above-mentioned job when being carried out by the processor, and can reach the same technical result, in order to avoid repetition, will not be repeated here.

The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, realizes the processes of the above-mentioned job information processing method embodiment, and can achieve the same technical effects, and in order to avoid repetition, the description is omitted here. Wherein the computer readable storage medium is selected from Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.

Fig. 12 is a schematic hardware structure of an electronic device implementing various embodiments of the present invention.

The electronic device 1200 includes, but is not limited to: radio frequency unit 1201, network module 1202, audio output unit 1203, input unit 1204, sensor 1205, display unit 1206, user input unit 1207, interface unit 1208, memory 1209, processor 1210, and power source 1211. It will be appreciated by those skilled in the art that the structure of the electronic device according to the embodiments of the present invention is not limited to the electronic device, and the electronic device may include more or less components than those illustrated, or may combine some components, or may have different arrangements of components. In the embodiment of the invention, the electronic equipment comprises, but is not limited to, a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted terminal, a wearable device, a pedometer and the like.

It should be understood that, in the embodiment of the present invention, the radio frequency unit 1201 may be used to receive and send information or signals during a call, specifically, receive downlink data from a base station, and then process the received downlink data with the processor 1210; and, the uplink data is transmitted to the base station. Typically, the radio frequency unit 1201 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like. In addition, the radio frequency unit 1201 may also communicate with networks and other devices through a wireless communication system.

The electronic device provides wireless broadband internet access to the user through the network module 1202, such as helping the user to send and receive e-mail, browse web pages, access streaming media, and the like.

The audio output unit 1203 may convert audio data received by the radio frequency unit 1201 or the network module 1202 or stored in the memory 1209 into an audio signal and output as sound. Also, the audio output unit 1203 may also provide audio output (e.g., call signal reception sound, message reception sound, etc.) related to a specific function performed by the electronic apparatus 1200. The audio output unit 1203 includes a speaker, a buzzer, a receiver, and the like.

The input unit 1204 is for receiving an audio or video signal. The input unit 1204 may include a graphics processor (Graphics Processing Unit, GPU) 12041 and a microphone 12042, the graphics processor 12041 processing image data of still pictures or video obtained by an image capturing device (such as a camera) in a video capturing mode or an image capturing mode. The processed image frames may be displayed on the display unit 1206. The image frames processed by the graphics processor 12041 may be stored in memory 1209 (or other storage medium) or transmitted via the radio frequency unit 1201 or the network module 1202. The microphone 12042 may receive sound, and may be capable of processing such sound into audio data. The processed audio data may be converted into a format output that can be transmitted to the mobile communication base station via the radio frequency unit 1201 in the case of a telephone call mode.

The electronic device 1200 also includes at least one sensor 1205, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor includes an ambient light sensor and a proximity sensor, wherein the ambient light sensor can adjust the brightness of the display panel 12061 according to the brightness of ambient light, and the proximity sensor can turn off the display panel 12061 and/or the backlight when the electronic device 1200 moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when stationary, and can be used for recognizing the gesture of the electronic equipment (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; the sensor 1205 may further include a fingerprint sensor, a pressure sensor, an iris sensor, a molecular sensor, a gyroscope, a barometer, a hygrometer, a thermometer, an infrared sensor, etc., which are not described herein.

The display unit 1206 is used to display information input by a user or information provided to the user. The display unit 1206 may include a display panel 12061, and the display panel 12061 may be configured in the form of a liquid crystal display (Liquid Crystal Display, LCD), an Organic Light-Emitting Diode (OLED), or the like.

The user input unit 1207 may be used to receive input numeric or character information, and to generate key signal inputs related to user settings and function controls of the electronic device. Specifically, the user input unit 1207 includes a touch panel 12071 and other input devices 12072. The touch panel 12071, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on the touch panel 12071 or thereabout by using any suitable object or accessory such as a finger, stylus, etc.). The touch panel 12071 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device, converts it into touch point coordinates, and sends the touch point coordinates to the processor 1210, and receives and executes commands sent from the processor 1210. In addition, the touch panel 12071 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. The user input unit 1207 may include other input devices 12072 in addition to the touch panel 12071. In particular, other input devices 12072 may include, but are not limited to, physical keyboards, function keys (e.g., volume control keys, switch keys, etc.), trackballs, mice, joysticks, and so forth, which are not described in detail herein.

Further, the touch panel 12071 may be overlaid on the display panel 12061, and when the touch panel 12071 detects a touch operation thereon or nearby, the touch operation is transmitted to the processor 1210 to determine the type of the touch event, and then the processor 1210 provides a corresponding visual output on the display panel 12061 according to the type of the touch event. It will be appreciated that in one embodiment, the touch panel 12071 and the display panel 12061 are implemented as two separate components for input and output functions of the electronic device, but in some embodiments, the touch panel 12071 and the display panel 12061 may be integrated to implement input and output functions of the electronic device, which is not limited herein.

The interface unit 1208 is an interface to which an external device is connected to the electronic apparatus 1200. For example, the external devices may include a wired or wireless headset port, an external power (or battery charger) port, a wired or wireless data port, a memory card port, a port for connecting a device having an identification module, an audio input/output (I/O) port, a video I/O port, an earphone port, and the like. The interface unit 1208 may be used to receive input (e.g., data information, power, etc.) from an external device and transmit the received input to one or more elements within the electronic apparatus 1200 or may be used to transmit data between the electronic apparatus 1200 and the external device.

Memory 1209 may be used to store software programs as well as various data. The memory 1209 may mainly include a storage program area that may store an operating system, an application program required for at least one function (such as a sound playing function, an image playing function, etc.), and a storage data area; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, memory 1209 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.

The processor 1210 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 1209, and calling data stored in the memory 1209, thereby performing overall monitoring of the electronic device. Processor 1210 may include one or more processing units; preferably, the processor 1210 may integrate an application processor and a modem processor, wherein the application processor primarily handles operating systems, user interfaces, applications, etc., and the modem processor primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 1210.

The electronic device 1200 may also include a power source 1211 (e.g., a battery) for powering the various components, and preferably the power source 1211 may be logically connected to the processor 1210 via a power management system that performs the functions of managing charging, discharging, and power consumption.

In addition, the electronic device 1200 includes some functional modules that are not shown, and are not described herein.

It should be noted that, in this document, 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 the element.

From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.

The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.

Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. 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 invention.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.

In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present invention 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 functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a ROM, a RAM, a magnetic disk, or an optical disk, etc.

The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims

1. The method for processing the position information is characterized by comprising the following steps:

2. The method according to claim 1, wherein the step 2 comprises:

if no job information matching with the job-seeking intention information is queried, executing step 202, outputting an intention collecting message in the AI session interface, if an intention adjusting operation aiming at the intention collecting message is detected, updating the job-seeking intention information, and returning to step 201;

if job information matched with the job seeking intention information is queried, step 203 is executed, and corresponding job cards are output in the AI conversation interface, wherein each job card is associated with at least one piece of job information.

3. The method according to claim 2, wherein the determining the tendency of the job seeker to the job information according to the processing operation of the job seeker to the job information includes:

4. The method of claim 3, wherein the forward trend control is a session request control, and the sending a session request for the nth position card to a recruiter corresponding to the nth position card if the selection operation of the forward trend control by the job seeker is detected includes:

5. The method of claim 4, wherein the resume creation guide floating window comprises at least a cancel control and a create control, and wherein sending a session request for the nth position card to a recruitment end corresponding to the nth position card if the job seeker is detected to complete creation of a user resume comprises:

6. The method according to claim 4 or 5, wherein after the sending the session request for the nth position card to the recruiter corresponding to the nth position card, the determining the tendency of the job seeker to the position information according to the processing operation of the job seeker to the position information further includes:

7. The method of claim 3, wherein the negative trend control is a negative control, and the displaying the content trend control for job information if the selection operation of the negative trend control by the job seeker is detected, and determining negative feedback information of the job seeker according to the selection operation of the content trend control by the job seeker includes:

8. The method of claim 3, wherein the displaying a trend control for the nth position card comprises:

9. The method of claim 8, wherein the determining the tendency of the job-seeking user to the job information according to the processing operation of the job-seeking user to the job information further comprises:

10. The method of claim 3, wherein the determining the tendency of the job-seeking user to the job information according to the processing operation of the job-seeking user to the job information further comprises:

11. The method according to claim 2, wherein the method further comprises:

if the AI double call record does not exist, executing step 602, and outputting an intention condition adjustment message in the AI session interface, wherein the intention condition adjustment message at least comprises a position switching control and a condition adjustment control;

if a selection operation for the job position switching control is detected, returning to the step 201;

and if the selection operation of the condition adjustment control is detected, executing the step 8, displaying a screening floating window for job hunting intention information, and if the input operation of the screening floating window is detected, obtaining the corresponding job hunting intention information, and returning to the step 201.

12. The method according to claim 2 or 11, further comprising:

and 9, responding to the confirmation operation or the rejection operation of the about surface guide message, outputting an intention collection message in the AI session interface, if an intention adjustment operation of the intention collection message is detected, obtaining corresponding job-seeking intention information, and returning to the step 201.

13. The method of claim 2, wherein the intent collection message includes at least an intent adjustment control and a job recommendation control, and the obtaining the corresponding second job intent information if an intent adjustment operation for the intent collection message is detected includes:

in response to a selection operation for the job recommendation control, the step 201 is returned.

14. A processing apparatus for job information, comprising:

15. An electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

the memory is used for storing a computer program;

the processor being configured to implement the method of any of claims 1-13 when executing a program stored on a memory.

16. A computer-readable storage medium having instructions stored thereon, which when executed by one or more processors, cause the processors to perform the method of any of claims 1-13.