CN114493501A

CN114493501A - Data processing method and device, electronic equipment and storage medium

Info

Publication number: CN114493501A
Application number: CN202111665738.6A
Authority: CN
Inventors: 闵大双; 刘文清; 乔驰; 文小成
Original assignee: Beijing 58 Information Technology Co Ltd
Current assignee: Beijing Wuba Ganji Information Technology Co ltd
Priority date: 2021-12-30
Filing date: 2021-12-30
Publication date: 2022-05-13

Abstract

The embodiment of the invention provides a data processing method, a data processing device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring at least one job hunting data aiming at the target post, then determining an interview dimension corresponding to the target post and interview information corresponding to the interview dimension, then the interview scores of the job hunting data in each interview dimension can be determined according to the comparison result between the job hunting data and the interview information, so as to screen at least one job hunting data according to the interview score of each interview dimension and obtain a screening result corresponding to the target post, thereby in the on-line recruitment process, for job hunting data of the same post, by setting an interview dimension corresponding to the post and interview information corresponding to the interview dimension, then obtaining interview scores corresponding to the job hunting users in each interview dimension corresponding to the job hunting data according to the comparison between the interview information and the job hunting data, and then screening job hunting users through interview scores to obtain corresponding screening results.

Description

Data processing method and device, electronic equipment and storage medium

Technical Field

The present invention relates to the field of data technologies, and in particular, to a data processing method, a data processing apparatus, an electronic device, and a computer-readable storage medium.

Background

With the development of network technology and the change of life style of people, network recruitment becomes an important way for job hunting users to find job and recruit users to recruit talents. In the network recruitment, for a recruitment user, when the recruitment user issues hot post information or the recruitment enterprise is a hot job hunting enterprise, the recruitment user easily receives a large number of personal resumes, and in the screening process of the personal resumes, the resumes can be screened only by telephone consultation, questionnaire collection and other modes, so that the data volume of the large number of resume information is huge, more manpower, material resources and the like are required, the recruitment cost is greatly increased, and the efficiency of information screening is low due to the large number of data.

Disclosure of Invention

The embodiment of the invention provides a data processing method and device, electronic equipment and a computer readable storage medium, and aims to solve or partially solve the problems of high recruitment cost and low information screening efficiency in an online recruitment process.

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

acquiring at least one job hunting data aiming at a target post;

determining an interview dimension corresponding to the target position and interview information corresponding to the interview dimension;

determining interview scores of the job hunting data in each interview dimension according to a comparison result between the job hunting data and the interview information;

and screening the at least one job hunting data according to the interview scores of the interview dimensions to obtain a screening result corresponding to the target post.

Optionally, the interview information includes at least one interview question corresponding to each interview dimension and reference information corresponding to the interview question, and determining the interview score of the job hunting data in each interview dimension according to a comparison result between the job hunting data and the interview information includes:

comparing the job hunting data with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information;

and determining interview scores of the job hunting data in each interview dimension by adopting the similarity information.

Optionally, the interview question includes a voice interview question, the reference information includes a first reference text corresponding to the voice interview question, the job hunting data includes voice response information for the voice interview question, the job hunting data is compared with the reference information corresponding to the interview question, similarity information between the job hunting data and the reference information is obtained, including:

performing semantic recognition on the voice response information to obtain a first response text;

and comparing the semantic similarity of the first response text with the first reference text to obtain the first semantic similarity corresponding to the first response text.

Optionally, the interview question includes a video interview question, the reference information includes a second reference text corresponding to the video interview question, the job hunting data includes video response information for the video interview question, the job hunting data is compared with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information, including:

performing semantic recognition on the video response information to obtain a second response text;

and comparing the semantic similarity of the second response text with the second reference text to obtain a second semantic similarity corresponding to the second response text.

Optionally, the reference information includes a reference image corresponding to the video interview question, the job hunting data is compared with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information, and the method further includes:

carrying out image recognition on the video response information to obtain a target image;

and comparing the image similarity of the target image with the reference image to obtain a matching image corresponding to the target image.

Optionally, the interview question includes a text interview question, the reference information includes a third reference text and/or a reference option corresponding to the text interview question, the job hunting data includes text response information for the text interview question, the job hunting data is compared with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information, including:

and comparing the text response information with the third reference text and/or the reference options to obtain text similarity corresponding to the text response information.

Optionally, the reference information includes a reference duration range corresponding to the interview question, and the comparing the job hunting data with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information includes:

acquiring interview duration in the job hunting data;

and comparing the interview duration with the reference duration range to obtain the duration similarity corresponding to the job hunting data.

Optionally, the determining the interview score of the job hunting data in each interview dimension by using the similarity information includes:

taking the similarity value corresponding to the similarity information as a question answer score corresponding to the interview question, or taking a preset score corresponding to preset similarity information successfully matched with the similarity information as a question answer score corresponding to the interview question;

and calculating the interview score of the job hunting data in the corresponding interview dimension by adopting at least one question answer score corresponding to the interview question in the same category and the same interview dimension.

Optionally, the interview information further includes an effective score interval corresponding to the interview dimension, and the screening of the at least one job hunting data according to the interview score of each interview dimension to obtain a screening result corresponding to the target post includes:

and taking job hunting data of which the interview scores of the interview dimensions are in the effective score interval corresponding to the interview dimensions as target job hunting data matched with the target post.

Optionally, the interview dimensions include key interview dimensions, the interview information further includes effective score intervals corresponding to the interview dimensions, the screening of the at least one job hunting data according to the interview scores of the interview dimensions to obtain screening results corresponding to the target posts includes:

extracting target interview scores corresponding to the job hunting data in the key interview dimensions from the interview scores of the interview dimensions;

and using job hunting data of the target interview scores corresponding to the key interview dimensions in the effective score intervals corresponding to the key interview dimensions as target job hunting data matched with the target posts.

Optionally, the method further comprises:

acquiring job hunting user information corresponding to the target job hunting data;

and generating interview report information aiming at the target post by adopting one or more of interview scores of at least one target job hunting data in each interview dimension, interview total scores corresponding to the interview scores, interview questions and job hunting user information.

The embodiment of the invention also discloses a data processing device, which comprises:

the job hunting data acquisition module is used for acquiring at least one job hunting data aiming at the target post;

the interview information determining module is used for determining interview dimensions corresponding to the target position and interview information corresponding to the interview dimensions;

the interview score determining module is used for determining interview scores of the job hunting data in each interview dimension according to a comparison result between the job hunting data and the interview information;

and the screening result determining module is used for screening the at least one job hunting data according to the interview scores of the interview dimensions to obtain a screening result corresponding to the target post.

Optionally, the interview information includes at least one interview question corresponding to each interview dimension and reference information corresponding to the interview question, and the interview score determining module includes:

the similarity comparison submodule is used for comparing the job hunting data with the reference information corresponding to the interview questions to obtain similarity information between the job hunting data and the reference information;

and the interview score determining submodule is used for determining the interview scores of the job hunting data in each interview dimension by adopting the similarity information.

Optionally, the interview question includes a voice interview question, the reference information includes a first reference text corresponding to the voice interview question, the job hunting data includes voice response information for the voice interview question, and the similarity comparison sub-module is specifically configured to:

Optionally, the interview question comprises a video interview question, the reference information comprises a second reference text corresponding to the video interview question, the job hunting data comprises video response information for the video interview question, and the similarity comparison submodule is specifically configured to:

Optionally, the reference information includes a reference image corresponding to the video interview question, and the similarity comparison sub-module is specifically configured to:

Optionally, the interview question includes a text interview question, the reference information includes a third reference text and/or a reference option corresponding to the text interview question, the job hunting data includes text response information for the text interview question, and the similarity comparison sub-module is specifically configured to:

Optionally, the reference information includes a reference duration range corresponding to the interview question, and the similarity comparison submodule is specifically configured to:

acquiring interview duration in the job hunting data;

Optionally, the interview score determining sub-module is specifically configured to:

Optionally, the interview information further includes a valid score interval corresponding to the interview dimension, and the screening result determining module is specifically configured to:

Optionally, the interview dimension includes a key interview dimension, the interview information further includes an effective score interval corresponding to the interview dimension, and the screening result determining module is specifically configured to:

Optionally, the method further comprises:

the user information acquisition module is used for acquiring job hunting user information corresponding to the target job hunting data;

and the interview report generating module is used for generating interview report information aiming at the target post by adopting one or more of interview scores of at least one target job hunting data in each interview dimension, interview total scores corresponding to the interview scores, interview questions and job hunting user information.

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 finish mutual communication 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 medium having instructions stored thereon, which, when executed by one or more processors, cause the processors to perform a method according to embodiments of the present invention.

The embodiment of the invention has the following advantages:

in the embodiment of the invention, for on-line recruitment, at least one job application data for a target post is acquired, then an interview dimension corresponding to the target post and interview information corresponding to the interview dimension are determined, then the interview score of the job application data in each interview dimension is determined according to the comparison result between the job application data and the interview information, so that at least one job application data is screened according to the interview score of each interview dimension to obtain the screening result corresponding to the target post, therefore, in the on-line recruitment process, for the job application data of the same post, the interview score corresponding to each interview dimension of a job application user corresponding to the job application data is acquired by setting the interview dimension corresponding to the post and the interview information corresponding to the interview dimension, then the interview score corresponding to each interview dimension of the job application user corresponding to the job application data is screened through interview, the job hunting data can be accurately screened according to the interview scores corresponding to the interview dimensions, the accuracy of data screening is improved, the job hunting data of the same post are screened according to unified standards, the process of data screening is effectively reduced, the efficiency of data screening is improved, and the on-line recruitment cost is reduced.

Drawings

FIG. 1 is a flow chart of the steps of a method for processing data provided in an embodiment of the present invention;

fig. 2 is a block diagram of a data processing apparatus provided in an embodiment of the present invention;

FIG. 3 is a block diagram of an electronic device provided in an embodiment of the invention;

fig. 4 is a schematic diagram of a computer-readable storage medium provided in an embodiment of the present invention.

Detailed Description

In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.

As an example, network recruitment has become an important way for job hunters to find jobs, recruiters to recruit talents. In the network recruitment, for a recruiting user, when the recruiting user issues hot post information or the recruiting enterprise is a hot job-seeking enterprise, the recruiting user can easily receive a large amount of personal resumes, and in the primary screening process of the personal resumes, resume screening can be performed only by means of telephone consultation, questionnaire collection and the like, so that the data volume of the large amount of resume information is huge, more manpower, material resources and the like are required, the recruitment cost is greatly increased, and the efficiency of information screening is low due to the large amount of data.

In view of the above, one of the core invention points of the embodiment of the present invention is that the job hunting users can perform interview response on the interview questions of the target post by setting interview information such as interview dimensions for the target post and interview questions corresponding to the interview dimensions, and the corresponding terminal or server obtains interview scores of the job hunting users corresponding to the job hunting data in each interview dimension according to the comparison result between the job hunting data and the interview information of the interview response of the job hunting users, and then can perform screening according to the interview scores corresponding to each interview dimension to determine job hunting data adapted to the target post and screen job hunting users meeting the requirements of the target post, so that the job hunting data is screened in a unified and multi-concerned dimension manner, which not only can ensure the accuracy of data screening, but also can ensure the screening efficiency, the on-line recruitment cost is reduced. Simultaneously, online interview in-process, to the interview problem, can include the interview mode of different forms such as pronunciation, video, text, richen the form of online interview, improve the data acquisition dimension, and then improve job hunting data analysis's reliability and the accuracy of screening result.

Optionally, for a job hunting user, a corresponding user terminal may be a job hunting terminal, a corresponding application program (such as a recruitment application program, a living application program, and the like) may be run in the job hunting terminal, and the job hunting user may obtain an interview invitation on the application program or initiate an online interview for a certain post, and the like; for the recruitment user, the corresponding user terminal can be a recruitment terminal, a corresponding application program (such as a recruitment application program, a living application program and the like) can be run in the recruitment terminal, and the recruitment user can issue recruitment information, invite an online interview, receive job hunting data sent by the job hunting terminal and the like on the application program. The application programs run by the job hunting terminal and the recruitment terminal may be the same application program or different application programs, and may be application programs installed and run in the terminals (including application programs of the mobile terminal and the PC terminal, and the like), or applet programs in the application programs, which is not limited in this invention.

In order to make those skilled in the art better understand the technical solutions of the embodiments of the present invention, the following explains and explains some technical names related to the embodiments of the present invention.

The interview data may include data set by the recruiting user for a certain post in the recruiting terminal, for example, interview dimensions corresponding to the post, interview information corresponding to each interview dimension, and the like.

The interview dimension can be a dimension for the recruiting user to pay attention to the target post, for example, dimensions for knowing different aspects of the job hunting user, such as job hunting intention, post matching degree, job hunting attitude, user character, user image and the like; the interview information can include interview questions corresponding to interview dimensions, reference information corresponding to the interview questions, effective score intervals corresponding to the interview questions, and the like. Optionally, for the interview dimension, multiple interview questions may correspond to one interview dimension, one interview question may correspond to one interview dimension, and the like, and when multiple interview questions correspond to one interview dimension, the score of the interview dimension may be determined according to the interview scores corresponding to the multiple interview questions, and the like, which is not limited by the present invention.

For the interview questions, the question form may include a voice interview question, a video interview question, a text interview question (such as a questionnaire, etc.), the voice interview question may be an interview question asked by voice and answered by voice, the video interview question may be an interview question asked by video and answered by video, voice, etc., and the text interview question may be an interview question answered, selected, filled in, etc. by text.

For the reference information, it may include a first reference text corresponding to a voice interview question, a second reference text corresponding to a video interview question, a third reference text corresponding to a text interview question, and the like. In addition, the reference information may further include a reference duration range corresponding to the interview question, and the reference duration range is used for evaluating the response duration of the job hunting user in the online interview process, such as evaluating the duration of a voice response, the duration of a video response, the duration of a text response, and the like.

For the effective score interval, aiming at the interview of the target post, the recruitment user can set a specific effective score interval aiming at a certain interview dimension, and under one condition, the job hunting user is judged to meet the post requirement of the corresponding post only when the interview score of the job hunting user in the key interview dimension meets the effective score interval; in another case, the job hunting user is judged to meet the post requirement of the corresponding post only when the interview scores corresponding to all interview dimensions of the job hunting user are within the effective score interval. For example, if the score value is 0 to 100, the recruiter can set the effective score interval to 60 to 100, or 70 to 100, for a certain dimension.

In the embodiment of the invention, for a recruitment user, before the recruitment user can release a certain post through a recruitment terminal, the corresponding interview dimension, the interview problem corresponding to each interview dimension, the reference information, the effective interval and other interview data are set for the post, and the recruitment terminal can generate corresponding 'format' content according to the interview information set by the recruitment user and send the content to a server for corresponding data processing; for job hunting users, the job hunting terminals can conduct online interview on a certain post according to interview invitation sent by the job hunting users or active delivery and the like, specifically, after receiving interview information set by the job hunting users for the certain post, the server can generate and issue corresponding recruitment information so that the job hunting users can browse the corresponding recruitment information in the job hunting terminals, and when the job hunting users initiate online interview on the certain post, the corresponding interview information of the post is issued to the job hunting terminals so that the job hunting users conduct online interview according to the interview information displayed by the job hunting terminals, then the job hunting terminals can process job hunting data of the job hunting users for the interview information to obtain corresponding screening results, or the server can receive job hunting data sent by the job hunting terminals for the relevant post and then process the job hunting data, and obtaining a corresponding screening result.

It should be noted that, in the embodiment of the present invention, the server issues the interview information for a certain position, which is set on the recruitment terminal by the recruitment user, receives job hunting data for the certain position on the job hunting terminal by the job hunting user, and screens the job hunting data as an example for exemplary illustration, it is understood that, for the processing process of the job hunting data, the recruitment terminal may process the interview information, receive and process the job hunting data sent by the job hunting terminal, the recruitment terminal may process the interview information, process the job hunting data, and send the processing result to the recruitment terminal, and the like, which is not limited in this respect.

Specifically, referring to fig. 1, a flowchart illustrating steps of a data processing method provided in an embodiment of the present invention is shown, which may specifically include the following steps:

step 101, acquiring at least one job hunting data aiming at a target post;

when the recruitment user publishes the recruitment information of a certain post on the recruitment terminal, the server can publish the recruitment information of the post and receive job hunting data aiming at the post. Wherein, to same target post, the server can receive at least one job data of seeking employment to this target post, and each job data of seeking employment can correspond a user of seeking employment to the server can be filtered a plurality of job data of seeking employment to same post to confirm whether the user of seeking employment who corresponds satisfies the post demand of target post.

In specific implementation, for a target post, a recruiter can set a corresponding interview room for the recruiter, and only unmatched people can be filtered through the interview room, so that for job hunting users, the job hunting users can enter the interview room through corresponding interview invitation or interview request initiation and the like to conduct online interview. For example, a job hunting user can initiate or receive an interview invitation through an application program running on a job hunting terminal, an applet in the application program, and the like, obtain a corresponding interview instruction (including but not limited to an interview address, a two-dimensional code, a verification code, and the like of an interview room), then input the interview instruction in a corresponding application interface to enter the interview room to acquire interview information of a target post, and then the job hunting terminal can present a corresponding interview question so that the job hunting user can respond, generate corresponding job hunting data according to a response result of the job hunting user, send the job hunting data to a server, and perform corresponding processing on the job hunting data by the server.

In one example, after the recruitment user issues the recruitment information of the target post, the recruitment user can initiatively initiate an interview invitation to the job hunting user who conforms to the target post, the server sends the interview invitation to the job hunting terminal, after the job hunting user accepts the interview invitation, the job hunting terminal can present the interview problem of the target post corresponding to the interview invitation, so that the job hunting user can respond to the interview problem and the like, then the job hunting terminal generates corresponding job hunting data and sends the job hunting data to the server, the server performs corresponding processing, and a processing result is sent to the recruitment terminal.

In another example, after browsing the recruitment information of the corresponding target post on the job hunting terminal, the job hunting user may initiate an interview request for the target post, the server may issue an interview question corresponding to the target post after receiving the interview request, the job hunting terminal may also preload the interview question of the target post in a preloading manner, then respond to the interview request for the target post initiated by the job hunting user, present the corresponding interview question so that the job hunting user can respond to the interview question presented by the job hunting terminal, after the job hunting user finishes responding, the job hunting terminal may generate corresponding job hunting data and send the job hunting data to the server, and the server performs corresponding processing and sends the processing result to the recruitment terminal.

Step 102, determining an interview dimension corresponding to the target position and interview information corresponding to the interview dimension;

in a specific implementation, for the same post, the recruitment user can set interview dimensions needing to be paid attention and interview information corresponding to each interview dimension, including interview questions, reference information corresponding to the interview questions, effective score intervals and the like, so that the server can screen job hunting data corresponding to the job hunting users according to the interview data. Optionally, the interview dimensions may include interview mood, job intent, interview attitude, user image, language expression, user personality, job matching, and the like.

103, determining interview scores of the job hunting data in each interview dimension according to a comparison result between the job hunting data and the interview information;

in the embodiment of the present invention, the interview information may include at least one interview question corresponding to each interview dimension and reference information corresponding to the interview question, and the job hunting data may be compared with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information, and then the interview score of the job hunting data in each interview dimension is determined by using the similarity information.

The job hunting data screening method comprises the steps that a job hunting user can set reference information corresponding to the interview question for the interview question, so that the server can conduct multidimensional grading on the job hunting user according to a comparison result between the reference information and the job hunting data to obtain corresponding interview scores, the server can accurately screen the job hunting data through the interview scores corresponding to multiple interview dimensions, accuracy of data screening is improved, job hunting data screening on the same post is achieved, screening is conducted by means of unified standards, the process of data screening is effectively reduced, efficiency of data screening is improved, and cost of online recruitment is reduced.

For the interview scores, the similarity values corresponding to the similarity information can be used as question answer scores of job hunting users for answering interview questions, a mapping relation between preset similarity information and preset scores can also be set, then the preset scores corresponding to the preset similarity information successfully matched with the similarity information are used as question answer scores corresponding to the interview questions, then the question answer scores corresponding to at least one interview question belonging to the same interview dimension are adopted, and the interview scores of job hunting data in the corresponding interview dimensions are calculated.

For example, if the similarity information corresponding to the first interview question is 80%, the similarity information corresponding to the second interview question is 75%, the similarity information corresponding to the third interview question is 90%, and the like, the similarity can be directly used as the corresponding question answer score, that is, the question answer score of the job seeking user in the first interview question is 80, the question answer score of the second interview question is 75, the question answer score of the third interview question is 90, and the like; under the condition of the same similarity information, assuming that 60-70% of similarity corresponds to 70 points, 70-80% of similarity corresponds to 80 points, 80-90% of similarity corresponds to 90 points and the like are preset, the job hunting user has a question answer score of 80 for the first interview question, a question answer score of 80 for the second interview question, and a question answer score of 90 for the third interview question. After the question answer scores corresponding to the interview questions are obtained, if one interview dimension corresponds to the only interview question, the question answer scores corresponding to the interview questions can be directly used as the interview scores corresponding to the interview dimension; if one interview dimension corresponds to a plurality of interview questions, the average value of the question answer scores of the corresponding interview questions can be used as the interview score of the interview dimension, and the like, which is not limited by the invention.

In the embodiment of the present invention, the interview information may include interview problems of different forms, including a voice interview problem, a video interview problem, a text interview problem, and the like, and the corresponding job hunting data may include voice response information for the voice interview problem, video response information for the video interview problem, text response information for the text interview problem, and the like, so that the server may compare reference information corresponding to the interview problems with the interview response information to determine similarity information of the two, and then determine interview scores of the job hunting data in each interview dimension according to the similarity information.

For the voice interview question, the reference information can be a first reference text corresponding to the voice interview question, semantic recognition can be performed on the voice response information to obtain a first answer text, and then semantic similarity comparison is performed on the first answer text and the first reference text to obtain first semantic similarity corresponding to the first answer text. The first reference text can be preset response information which is set for the voice interview question and is applicable to different interview response scenes when the voice interview question is set for the recruiting user, for example, 5 different response information which are possibly answered by the job hunting user and the like are set for the interview question, the more the number of the preset response information is, the higher the detection accuracy of the voice interview question is, and the recruiting user can set according to actual requirements.

For the video interview problem, the reference information can be a second reference text corresponding to the video interview problem, semantic recognition can be performed on the video response information to obtain a second response text, and then semantic similarity comparison is performed on the second response text and the second reference text to obtain a second semantic similarity corresponding to the second response text. The second reference text can be preset response information which is set for the video interview question and is applicable to different interview response scenes when the recruiting user sets the video interview question, for example, 3 different types of response information and the like which are possibly answered by the job hunting user are set for the interview question, the more the number of the preset response information is, the higher the detection accuracy of the video interview question is, and the recruiting user can set the preset response information according to actual requirements.

It should be noted that, for the voice response information and the video response information, the server may perform voice recognition on audio information input by the job hunting user for the voice interview question, the video interview question, and the like to obtain corresponding text information, perform semantic recognition to obtain corresponding response text, and then perform semantic similarity comparison with reference texts corresponding to the voice interview question and the video interview question to obtain corresponding semantic similarity, so that the score of the interview response information of the job hunting user for the corresponding interview question can be determined through the semantic similarity, and further, whether the job hunting user is matched with the target post is determined through the corresponding score.

In addition, for the video response information, besides the audio information, the video response information may also include image information, and correspondingly, the reference information corresponding to the video interview question may include a reference image corresponding to the video interview question, when the video response information is evaluated, the real-time picture corresponding to the video response information may also be subjected to image recognition to obtain a target image corresponding to job hunting data, then the target image and the reference image are subjected to image similarity comparison to obtain a matching image corresponding to the target object, the user image, interview attitude, and the like of the job hunting user may be recognized through the matching image, specifically, preset images corresponding to different user images and different interview attitudes may be preset, when the video response information is subjected to image recognition, the corresponding image frame may be extracted, and the image frame and the preset image may be subjected to image similarity comparison, therefore, the user image, the interview attitude and the like of the job hunting user when the job hunting user conducts interview on the target post are determined, different user images, interview attitudes and the like can correspond to different interview scores, the recruitment user can set the mapping relation between the preset image and the interview scores so as to score the user image, the interview attitude and the like of the job hunting user in an image recognition mode, and the method and the device are not limited to the method.

Wherein, for the determination of the score of the image similarity, different preset images can correspond to different question answer scores, after the corresponding image frames are extracted, the image frames can be compared with the preset images to obtain the image similarity between the image frames and each preset image, the preset image with the highest similarity value is taken as a matching image, and then the question answer score corresponding to the matching image is obtained, for example, at least one image corresponding to 'good image' can be set according to the neatness degree of the user image, at least one image corresponding to 'ordinary image' and at least one image corresponding to 'shape aberration' can be set, wherein the question answer score corresponding to 'good image' is 100, the question answer score corresponding to 'ordinary image' is 80, the question answer score corresponding to shape aberration is 60, after the image frames are extracted from the video response information, the image frame can be compared with the images corresponding to different neatness degrees, and according to the image similarity, the image neatness degree of the job hunting user in the interview process is determined, so that the user image of the job hunting user is scored in an image recognition mode. In addition, the interview attitude, interview emotion and the like of the job hunting user can be scored in an image recognition mode, and the related process can refer to the scoring process of the user image and is not repeated herein.

For the text interview question, the reference information may include a third reference text and/or a reference option corresponding to the text interview question, and the text similarity corresponding to the text response information may be obtained by comparing the text response information with the third reference text and/or the reference option. The text interview questions can comprise short answer questions, blank filling questions, selection questions and the like, and for open questions such as the short answer questions and the blank filling questions, the third reference texts can be set to be preset response information suitable for different interview response scenes, different scores corresponding to different options can be set for the selection questions, so that when job seeking users answer the text interview questions, the corresponding scores can be determined according to the similarity between the text response information and the preset response information, the corresponding scores can be determined according to the selection of the job seeking users on the blank filling questions, and the interview scores corresponding to the text interview questions are finally calculated. In an example, the text interview question can be a test paper, the test paper can include a short answer question, a blank filling question and a selection question, scores of different types of questions can be respectively calculated, and a total score of each type of question can be used as an interview score of the text interview question, for example, the short answer question 30, the blank filling question 35, the selection question 20 and the like, so that the interview score of the text interview question is 85, which is not limited by the invention.

It should be noted that, for comparison of voice similarity, image similarity, text similarity, etc., comparison may be performed through a video model, an audio model, an evaluation model, a semantic model, a data analysis model, etc., and since the process of model training is a conventional technical means in the art, it is not described herein too much.

In addition, when the job hunting user conducts online interview on the interview information, the job hunting terminal can count the length of interview in the interview process of the job hunting user. The interview duration can comprise the response duration of each interview question and the total interview duration in the interview process, the reference information can comprise a reference duration range corresponding to the interview questions, correspondingly, the reference duration range can comprise a question duration range corresponding to each interview question and a reference total duration range corresponding to all the interview questions, the interview duration corresponding to the job hunting data can be obtained, and then the interview duration and the reference duration range are compared to obtain the duration similarity corresponding to the job hunting data. Optionally, the similarity of durations may include similarities of too short duration, suitable duration, too long duration, and the like, for example, if the duration of a question of an interview question is 1-3 minutes, and the response duration of the job hunting user to the interview question is 30 seconds, it may be determined that the durations are not similar, and the durations are too short; if the response time is 2 minutes, the judgment of similarity is carried out, and the response time is appropriate; if the response time is 4 minutes, the results can be judged to be dissimilar, and the response time is too long, so that whether the job hunting user pays attention to the current interview process or not can be effectively distinguished by acquiring the interview time in the interview process of the job hunting user, and the invention is not limited to this.

In the above process, the voice interview problem, the video interview problem, the text interview problem, the interview duration and the like are taken as examples for illustration, and it can be understood that in the actual online interview process, the interviews in the individual forms of the voice interview problem, the video interview problem, the text interview problem, the interview duration and the like can be performed, or the combination of the interview forms can be performed, so that the interview forms in different forms of voice, video, text and the like are constructed, on one hand, the interview forms are enriched, the dimensionality of data acquisition is improved, on the other hand, information related to job hunting users is acquired through different dimensionalities, the types of job hunting user information can be effectively enriched, and further, the reliability of job hunting data analysis and the accuracy of screening results are improved. In addition, for the collection of voice data, video data, text data and the like of job hunting users, the job hunting terminal can carry out corresponding data collection, data uploading and the like after informing the job hunting users and obtaining the authorization of the job hunting users, so that the security of the privacy information of the job hunting users is effectively ensured.

And 104, screening the at least one job hunting data according to the interview scores of the interview dimensions to obtain a screening result corresponding to the target post.

After the interview scores of the job hunting users in each interview dimension are obtained through the job hunting data, the job hunting data of the target post can be screened according to the interview scores of the job hunting users in each interview dimension, and a screening result corresponding to the target post is obtained. In one case, job hunting data, in which the interview scores of each interview dimension are within the effective score interval corresponding to the interview dimension, can be used as target job hunting data matched with the target post, that is, the interview scores of job hunting users in each interview dimension need to be within the effective score interval; in another case, the interview dimensions of the target post may include a key interview dimension and a conventional interview dimension, the key interview dimension may be a dimension that the job hunting user pays attention to the job hunting user, when the job hunting user performs online interview on the target post, the job hunting user needs to satisfy the effective score interval corresponding to the key interview dimension to get through the corresponding interview, specifically, the job hunting data corresponding to each key interview dimension may be extracted from the interview scores of each interview dimension, and then the job hunting data having the target interview scores corresponding to each key interview dimension within the effective score interval corresponding to the key interview dimension is used as the target job hunting data matched with the target post, in this case, if the interview scores of the conventional interview dimension are not in the corresponding effective score interval, the job hunting data corresponding to the job hunting user can be used as pending job hunting data, the corresponding job hunting user is used as talent stock, and the recruitment user processes the job hunting data according to actual requirements; if the job hunting users have interview scores in the conventional interview dimension in the corresponding effective score interval, the job hunting users can be directly judged to meet the requirements of the target post, so that in the on-line job hunting process, for the job hunting data of the same post, interview information corresponding to the interview dimension and the interview dimension is set, then interview scores corresponding to the interview dimensions of the job hunting users corresponding to the job hunting data are obtained according to the comparison between the interview information and the job hunting data, then the job hunting users can be screened according to the interview scores, not only can the interview scores corresponding to a plurality of interview dimensions be used for accurately screening the job hunting data, the accuracy of data screening is improved, but also the job hunting data screening of the same post is carried out by using unified standards, the process of data screening is effectively reduced, and the efficiency of data screening is improved, thereby reducing the cost of on-line recruitment.

In an optional embodiment, after the server screens out target job hunting data matched with a target position, job hunting user information corresponding to the target job hunting data can be further obtained, and then one or more of interview scores of the target job hunting data in each interview dimension, total interview scores corresponding to the interview scores, interview problems and the job hunting user information are adopted to generate interview report information for the target position, and the interview report information is sent to a recruitment terminal, so that the recruitment terminal presents corresponding screening results to a recruitment user, and the recruitment user can check interview data, interview results and the like corresponding to the job hunting user according to the interview report information to make a corresponding recruitment decision. For example, the interview report information may include personal basic information filled by the job hunting users, interview scores of the job hunting users in various interview dimensions, average scores of the various interview dimensions, total interview scores of the job hunting users in corresponding target positions, voice response information/video response information/text response information during interview of the job hunting users, score rankings of different job hunting users in the same target position, comparison information of different job hunting users in the same target position, and the like, which is not limited in this respect.

It should be noted that the embodiment of the present invention includes but is not limited to the above examples, and it is understood that, under the guidance of the idea in the embodiment of the present invention, a person skilled in the art may also set the method according to actual requirements, and the present invention is not limited to this.

In order to make those skilled in the art better understand the technical solutions of the embodiments of the present invention, the following is an exemplary description by way of an example.

For the data processing method, the related execution main body can comprise a job hunting terminal, a recruitment terminal, a server, a third-party interface and the like, wherein a job hunting user can browse recruitment information, initiate an interview request, accept interview invitation, online interview and the like in the job hunting terminal; the recruitment terminal can release recruitment information, set interview dimensions of a target post, interview problems, reference information corresponding to the interview problems, effective intervals and the like, initiate interview invitation, accept interview requests, view interview results and the like; the server can generate a corresponding interview test paper according to the interview data sent by the recruitment terminal, sends the corresponding interview test paper in the process of performing online interview on the job hunting terminal, acquires job hunting data of online interview on the job hunting terminal by the job hunting user, analyzes, scores, screens and the like the job hunting data, and then sends the corresponding screening result to the recruitment terminal, and the recruitment terminal presents the corresponding interview result to the recruitment user. Data communication among the job hunting terminal, the recruitment terminal, the server and the like can be realized through a third-party interface, and the description is not repeated.

Specifically, assuming that the interview dimension is "job intention seeking", the default effective score interval is 0-100 minutes, the recruiter can set the effective score interval to 60-100, and set interview questions and corresponding reference information including, but not limited to, the following:

interview problem 1: new tasks are often encountered at work that have not been previously touched, with an example of how you would have done when encountering a difficult new task.

Reference text and key points:

1. actively searching data and searching related information through multiple channels;

2. deep analysis is carried out on the new task, and a preliminary scheme is proposed;

3. asking for teaching from colleagues and superior levels about the preliminary scheme, and modifying by combining feedback opinions;

4. actively thinking, thinking in advance or predicting the possible situations in the task, and proposing corresponding suggestions or preparing in advance;

5. executing the scheme, paying close attention to the project, solving the problems in the executing process in time and recording;

6. and repeating the tasks, summarizing the experience training and reporting to the superior leaders.

Interview problem 2: what changes you have done on their own in order to make the work more efficient? Please refer to a specific example.

Reference text and key points:

1. the attention is paid to observation in work, and the aspects needing improvement in work can be sharply found;

2. actively seek improved methods;

3. attempts were made to make a number of changes;

4. the working efficiency is improved, and the work result is helped;

5. being able to seek assistance from others;

6. the improved method is used for forming materials, and popularization is performed after leadership is agreed.

For the interview problem, the recruiting user can manually set or select from the question bank, and the question content can be set individually according to the different focus of each target post, including setting a voice form, a video form, a text form, a single choice question type, a multiple choice question type, a brief description question, a material question, and the like, which is not limited by the invention.

In addition, if the interview problem is a voice interview problem or a video interview problem, the voice response text related in the response process of the job hunting user and the preset reference information can be analyzed for text semantic similarity, text similarity, keyword similarity, text length, emotion analysis and the like to obtain a corresponding interview score, then the interview score of the interview dimension is calculated according to the interview score corresponding to at least one interview problem, after the response of all interview problems is completed, the interview scores are collected to obtain the total score of the job hunting user in the interview process of the target post, so that whether the job hunting user is matched with the post requirement of the target post or not is analyzed through the total score and the like, and in the on-line recruitment process, for job hunting data of the same post, the interview dimension corresponding to the post and the interview information corresponding to the interview dimension are set, and then according to the comparison between the interview information and job hunting data, interview scores corresponding to job hunting users in each interview dimension corresponding to the job hunting data are obtained, then the job hunting users can be screened through the interview scores, not only can the job hunting data be screened through the interview scores corresponding to a plurality of interview dimensions, the job hunting data are accurately screened, the accuracy of data screening is improved, and the job hunting data screening for the same post is carried out by utilizing unified standards, the process of data screening is effectively reduced, the efficiency of data screening is improved, and further the cost of on-line job hunting is reduced.

It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.

Referring to fig. 2, a block diagram of a data processing apparatus provided in the embodiment of the present invention is shown, and specifically, the data processing apparatus may include the following modules:

a job hunting data acquiring module 201, configured to acquire at least one job hunting data for a target post;

an interview information determining module 202, configured to determine an interview dimension corresponding to the target position and interview information corresponding to the interview dimension;

the interview score determining module 203 is used for determining interview scores of the job hunting data in each interview dimension according to a comparison result between the job hunting data and the interview information;

a screening result determining module 204, configured to screen the at least one job hunting data according to the interview scores of the interview dimensions, so as to obtain a screening result corresponding to the target post.

In an optional embodiment, the interview information includes at least one interview question corresponding to each of the interview dimensions and reference information corresponding to the interview question, and the interview score determining module 203 includes:

In an optional embodiment, the interview question includes a voice interview question, the reference information includes a first reference text corresponding to the voice interview question, the job hunting data includes voice response information for the voice interview question, and the similarity comparison sub-module is specifically configured to:

In an optional embodiment, the interview question includes a video interview question, the reference information includes a second reference text corresponding to the video interview question, the job data includes video response information for the video interview question, and the similarity comparison sub-module is specifically configured to:

In an optional embodiment, the reference information includes a reference image corresponding to the video interview question, and the similarity comparison sub-module is specifically configured to:

In an optional embodiment, the interview question includes a text interview question, the reference information includes a third reference text and/or a reference option corresponding to the text interview question, the job hunting data includes text response information for the text interview question, and the similarity comparison sub-module is specifically configured to:

In an optional embodiment, the reference information includes a reference duration range corresponding to the interview question, and the similarity comparison submodule is specifically configured to:

acquiring interview duration in the job hunting data;

In an optional embodiment, the interview score determining sub-module is specifically configured to:

In an optional embodiment, the interview information further includes an effective score interval corresponding to the interview dimension, and the screening result determining module 204 is specifically configured to:

In an optional embodiment, the interview dimension includes a key interview dimension, the interview information further includes an effective score interval corresponding to the interview dimension, and the screening result determining module 204 is specifically configured to:

In an alternative embodiment, further comprising:

For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.

In addition, an electronic device is further provided in the embodiments of the present invention, as shown in fig. 3, and includes a processor 301, a communication interface 302, a memory 303, and a communication bus 304, where the processor 301, the communication interface 302, and the memory 303 complete mutual communication through the communication bus 304,

a memory 303 for storing a computer program;

the processor 301 is configured to implement the following steps when executing the program stored in the memory 303:

acquiring at least one job hunting data aiming at a target post;

In an optional embodiment, the interview information includes at least one interview question corresponding to each interview dimension and reference information corresponding to the interview question, and determining the interview score of the job hunting data in each interview dimension according to a comparison result between the job hunting data and the interview information includes:

In an optional embodiment, the interview question comprises a voice interview question, the reference information comprises a first reference text corresponding to the voice interview question, the job hunting data comprises voice response information for the voice interview question, the job hunting data is compared with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information, including:

In an optional embodiment, the interview question comprises a video interview question, the reference information comprises a second reference text corresponding to the video interview question, the job hunting data comprises video response information for the video interview question, the job hunting data is compared with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information, including:

In an optional embodiment, the reference information includes a reference image corresponding to the video interview question, and the comparing the job hunting data with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information further includes:

In an optional embodiment, the interview question includes a text interview question, the reference information includes a third reference text and/or a reference option corresponding to the text interview question, the job hunting data includes text response information for the text interview question, the comparing the job hunting data with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information includes:

In an optional embodiment, the reference information includes a reference duration range corresponding to the interview question, and the comparing the job hunting data with the reference information corresponding to the interview question to obtain the similarity information between the job hunting data and the reference information includes:

acquiring interview duration in the job hunting data;

In an optional embodiment, the determining, by using the similarity information, an interview score of the job hunting data in each interview dimension includes:

In an optional embodiment, the interview information further includes an effective score interval corresponding to the interview dimension, and the screening of the at least one job hunting data according to the interview score of each interview dimension to obtain the screening result corresponding to the target post includes:

In an optional embodiment, the interview dimension includes a key interview dimension, the interview information further includes an effective score interval corresponding to the interview dimension, and the screening of the at least one job data according to the interview score of each interview dimension to obtain the screening result corresponding to the target post includes:

In an alternative embodiment, further comprising:

The communication bus mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the terminal and other equipment.

The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.

The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.

As shown in fig. 4, in another embodiment provided by the present invention, a computer-readable storage medium 401 is further provided, which stores instructions that, when executed on a computer, cause the computer to execute the processing method of data described in the above embodiment.

In yet another embodiment provided by the present invention, a computer program product containing instructions is also provided, which when run on a computer, causes the computer to execute the method for processing data described in the above embodiments.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for processing data, comprising:

acquiring at least one job hunting data aiming at a target post;

2. The method of claim 1, wherein the interview information comprises at least one interview question corresponding to each interview dimension and reference information corresponding to the interview question, and the determining the interview score of the job hunting data in each interview dimension according to the comparison result between the job hunting data and the interview information comprises:

3. The method of claim 2, wherein the interview question comprises a voice interview question, the reference information comprises a first reference text corresponding to the voice interview question, the job hunting data comprises voice response information for the voice interview question, and comparing the job hunting data with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information comprises:

4. The method of claim 2, wherein the interview question comprises a video interview question, the reference information comprises a second reference text corresponding to the video interview question, the job hunting data comprises video response information for the video interview question, and comparing the job hunting data with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information comprises:

5. The method of claim 4, wherein the reference information comprises a reference image corresponding to the video interview question, and the comparing the job hunting data with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information further comprises:

6. The method of claim 2, wherein the interview question comprises a text interview question, the reference information comprises a third reference text and/or a reference option corresponding to the text interview question, the job hunting data comprises text response information for the text interview question, and the comparing the job hunting data with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information comprises:

7. The method of claim 2, wherein the reference information comprises a reference duration range corresponding to the interview question, and the comparing the job hunting data with the reference information corresponding to the interview question to obtain similarity information between the job hunting data and the reference information comprises:

acquiring interview duration in the job hunting data;

8. The method of claim 3, 4, 5, 6 or 7, wherein the determining the interview score of the job data in each of the interview dimensions using the similarity information comprises:

9. The method of claim 2, wherein the interview information further comprises a valid score interval corresponding to the interview dimensions, and the screening of the at least one job data according to the interview score of each of the interview dimensions to obtain the screening result corresponding to the target position comprises:

10. The method of claim 2, wherein the interview dimensions comprise key interview dimensions, the interview information further comprises effective score intervals corresponding to the interview dimensions, and the screening of the at least one job data according to the interview scores of the interview dimensions to obtain the screening result corresponding to the target position comprises:

11. The method of claim 9 or 10, further comprising:

12. An apparatus for processing data, comprising:

13. 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, when executing a program stored on the memory, implementing the method of any of claims 1-11.

14. A computer-readable storage medium having stored thereon instructions, which when executed by one or more processors, cause the processors to perform the method of any one of claims 1-11.