61 results about "Interview methods" patented technology

The invention relates to a talent recruitment interview method and system. The method comprises steps: the holographic professional competence portrait of a candidate is acquired, wherein the holographic professional competence portrait comprises multiple tags and the professional competence value; the position model of an employer is acquired, wherein the position model is generated according toposition requirements provided by the employer, and the position model comprises multiple tags and the ideal values; and the holographic professional competence portrait and the position model are matched to determine whether the candidate is suitable for the position, and a person-position matching report is outputted. According to the method and the system provided in the invention, three dimensions of a talent, a position and a question are integrated through a set of tags, mass calculation is completed based on the tags, automation of a full process of interview, talent evaluation, person-position matching and talent recommendation is realized, recruitment and interview of all employers are more efficient and more accurate, and during the process, special attention is paid to the individualized needs of an organization, and multiple matching among person-profession, person-position and person-organization is thus realized.

A computer-based interviewing method for assessing mental and/or cognitive illness in a human subject is described. The method includes determining one or more personal characteristics of the human subject to be interviewed. The personal characteristics can include gender, age, nationality, ethnicity, accent, dialect, educational level, religion, etc. The subject is then presented with vocal or visual stimuli to which the subject responds. The vocal or visual stimuli are presented in one or more corresponding personal characteristics of the subject determined earlier (e.g. using a voice and/or an animated image and voice that corresponds to one or more of the personal characteristics). The subject's responses are compiled into a programmable computer and analyzed by a pre-selected test protocol. An alphanumeric value is then generated which corresponds to the presence and/or severity of the mental or cognitive illness in the subject tested.

The invention discloses a remote network interview realization method and system with high reliability. The method comprises the following steps of: collecting the human face portraits of an examinee and an examiner for human face portrait recognition to confirm the identity of the examinee, and to dynamically confirm the identity of the examinee in the examining process; remotely realizing interview modes, such as one-to-one, one-to-many, many-to-many, and many-to-one modes, group interview and mixed interview, on line by the dual recognition of video collection and human face recognition as well as sound collection and voiceprint recognition, the identity identification of a presenter, and dynamic display of the identity identification by sound input and output equipment, video input and output equipment, an audio and video transmission subsystem, a voiceprint recognition subsystem, a human face recognition subsystem, an examination management and control subsystem, an examinee information management subsystem, an examiner information management subsystem and an interview result sub management system via the system; and meanwhile, performing the functions of interview process control and interview standardization grading on the basis of remotely realizing the interview modes on line.

The invention discloses an online video interview method and a system. The enterprise terminal receives an interview film and generates a personality trait report according to the interview film. Theenterprise obtains the performance records of the employees with the same personality traits as the report, and generates the interview suggestion report; the invention can predict the behavior performance of the job seeker after arriving at the post while interviewing the job seeker, so as to reduce the differentiation performance of the job seeker during the interview and in the actual work, thereby enabling the enterprise to find a more suitable employee; for job seekers, interview videos not only increase convenience, but also reduce the trouble of traveling or taking time off while job seekers are looking for a job. The most appropriate time can be choosen to show the best side of the enterprise evaluation.

The invention discloses a man-machine automatic interview method which comprises the following steps of receiving an interview application request sent by a terminal, and determining an interview postand a resume corresponding to the interview application request; when the resume is qualified, obtaining a basic interview strategy corresponding to the interview post and an initial interview problem in the basic interview strategy, and outputting the basic interview strategy and the initial interview problem; receiving reply information sent by the terminal based on the initial interview question, and obtaining a current interview question matched with the reply information in the basic interview strategy so that a user can input new reply information based on the current interview question; and when a new interview question matched with the new answer information does not exist in the basic interview strategy, generating an interview conclusion according to all the answer information.The invention further discloses a man-machine automatic interview device and equipment and a storage medium. According to the invention, the reply information of the user is subjected to voice analysis, the interview question matched with the reply information is obtained, and the man-machine automatic interview is realized.

The invention discloses an interview method and device based on an intelligent interview interaction system, computer equipment and a storage medium. The method comprises the steps of outputting multiple preset designated questions to a user side; receiving a plurality of specified answers of the plurality of specified questions replied by the user side, and inputting the plurality of specified answers into a preset employment tendency prediction model trained based on a machine learning model for operation to obtain an employment tendency of a user corresponding to the user side; if the nervous emotion value of the user is within the preset emotion range value, judging whether the employment tendency of the user is employment or not; if the employment tendency of the user is employment, receiving a consultation question sent by the user side; obtaining a target question of which the similarity value with the consulting question is greater than a preset similarity threshold; and sending an answer corresponding to the target question of which the similarity value is greater than a preset similarity threshold to the user side. Therefore, the application crowd is expanded, and the interview success rate is improved.

The invention discloses a loan interview method and system, and the method comprises the steps: obtained the interview information needed in the interview process when a first terminal detects an interview request, and transmitting the interview information to a second terminal bound with the first terminal through a preset interface; obtaining the identity information of a user corresponding to the interview information and the needed contract information in the interview process when the second terminal receives the interview information; reminding an agent of the second terminal of checking the identity information and contract information, so as to obtain a check result; transmitting a checking result and a pre-stored load application table to the first terminal; and completing the interview process according to the received loan application table and check result through the first terminal. The method achieves the connection of systems corresponding to the terminals referred in the interview process. A user can complete the interview through bringing the data needed by the interview to a specific terminal, thereby improving the interview efficiency.

The invention discloses an intelligent interview method. The method comprises the following steps: (a) an enterprise issues a job interview demand; (b) the server performs job competence model matching on the job demand; (c) the server selects questions in a test question bank according to the matched competence model; (d) the server performs test paper composition according to the selection result; (e) the job seeker is notified that the online intelligent interview can be carried out; (f) the job seeker starts an interview program to answer questions; (g) the server performs data processingon the answer record of the job seeker; and (h) the server performs score calculation according to the processing result. According to the AI video interview method capable of realizing targeted personalized interview, the competence quality model of recruitment posts is constructed, and the earlier-stage preparation process of interview questions with targeted assessment contents is matched; in the video interview process, the grading process of candidates is completed through semantic analysis, video analysis, audio analysis and other technologies, and therefore the purpose that preliminarypersonnel screening can be rapidly and accurately conducted in enterprise recruitment is achieved.

The invention discloses an online interview system and method. The online interview method comprises the following steps of: obtaining a matching requirement of an enterprise user terminal by a server; matching an individual user resume in the system according to the matching requirement, carrying out personality characteristic extraction on the matched individual user resume, and sending the matched individual user resume and corresponding personality characteristics to the enterprise user terminal; receiving and displaying the individual user resume and the corresponding personality characteristics sent by the server by the enterprise user terminal, and sending an online interview request and an online interview topic of an enterprise to an individual user terminal; and receiving the online interview request and the online interview topic sent by the enterprise user terminal by the individual user terminal, establishing a connection between the individual user terminal and the enterprise user terminal, and sending replying information of an individual user aiming at the online interview topic to the enterprise user terminal to realize an online interview with the enterprise user terminal. According to the online interview system and method, talents can be quickly screened out according to enterprise requirements, and the recruitment efficiency is improved.

The invention discloses an intelligent robot interview method, device and equipment, and a storage medium. The method comprises the steps of receiving an interview opening instruction; extracting interview post information from the interview opening instruction, searching corresponding post investigation points and question setting modes according to the interview post information, selecting a plurality of target questions through an expert model according to the post investigation points and the question setting modes and playing the target questions, and realizing efficient massive talent screening by combining a standardized question and answer process with experience datamation of interview experts; when the answer voice information is detected, performing voice recognition on the answer voice information through an automatic voice recognition algorithm; obtaining target answer text, and performing keyword extraction on each target answer text, obtaining a first word score corresponding to each answer keyword, calculating an answer score corresponding to each target question according to the first word score, generating an interview score report in a preset dimension accordingto the answer score, providing effective interview reference data based on artificial intelligence, and improving interview accuracy.

An intelligent interview method and device can be applied to the technical field of artificial intelligence. The method comprises: obtaining a corresponding interview question from a preset interview question bank according to a post type of a job seeker, and displaying the interview question in a video mode; acquiring an answer video of the job seeker, and identifying the answer video to obtain an answer text result, an expression identification result and an emotion identification result; according to a preset assessment key index, performing index scoring on the answer text result, the expression recognition result and the emotion recognition result to obtain a plurality of key index scoring results; and inputting the multiple key index scoring results into a preset interview scoring model corresponding to the post type to obtain a candidate scoring result, and generating an interview evaluation report according to the candidate scoring result. Intelligent video interview is realized, and the evaluation report is automatically generated after the interview is completed, so that candidate screening and interviewer follow-up viewing are facilitated, the time cost and the labor cost are saved, and the recruitment efficiency is greatly improved.

The invention discloses an interview method and device based on artificial intelligence, computer equipment and a storage medium, and relates to the field of artificial intelligence, and the method comprises the steps: carrying out the identity recognition of an interviewer based on a login request of the interviewer; obtaining an interview post of an interviewer and a knowledge graph of the interview post, traversing the knowledge graph of the interview post to generate interview test paper corresponding to the interview post, and asking questions according to the interview test paper; acquiring answer content of the interviewer; performing upward difficulty or downward difficulty questioning on the interviewer based on the answer content of the interviewer; and scoring all answer contents, including the questioning answers, of the interviewer. In the questioning process, the questioning with upward difficulty and/or downward difficulty can be carried out according to the answer content of the interviewer, so that the knowledge level and ability of the interviewer can be accurately evaluated so as to objectively score.

The embodiment of the invention provides an image visa interview method and device, a computer device and a storage medium. The method comprises the following steps: determining a personal image associated with the identity identification information input by the user; acquiring a user face-to-face signature image acquired by a user side; determining whether the user face-to-face signature image is a living body image or not; and if the user face-to-face signature image is a living body image and the user face-to-face signature image is matched with the personal image, performing voice processing according to the user face-to-face signature image, and determining whether the user reads a face-to-face signature guide text or not according to a voice processing result. According to the imageface-to-face signing method provided by the embodiment of the invention, the labor cost can be saved, the approval efficiency can be improved, and the face-to-face signing security level can be improved.

The present invention provides an on-line interview method and system. The method comprises the steps of receiving the to-be-identified identity information sent by a recruiting client and a job applying client, establishing an information channel between the recruiting client and the job applying client, receiving, recording and storing the information between the recruiting client and the job applying client, processing the information recording, and sending the background investigation data and the authenticity data to the recruiting client. By tidying and analyzing the valid network marks of a job seeker and by a certain algorithms, the background information and the past experiences of the job seeker are analyzed and obtained and are provided to enterprises to reference. The method provided by the present invention utilizes a network big data technology, so that the enterprises can obtain the reliable past information of the job seekers by the network information without needing to visit and verify the past experiences and the past work units of the job seekers artificially, and accordingly, the cost and manpower are saved, and the verification results and the process are rapider and more convenient.

An information processing system includes one or more information processing devices and controls bidirectional communication of image data and audio data between a first information terminal used by a first user and a second information terminal used by a second user. The information processing system includes a calculation unit analyzing the image data and the audio data on the second user received from the second information terminal and calculating difference information that indicates a difference between a current state and a past state of the second user; an image generation unit superimposing the difference information on the image data received from the second information terminal, such that the difference information is displayed around a field where an image of the second user is placed; and a transmission unit transmitting, to the first information terminal, the image data on which the difference information is superimposed and the audio data.

The invention discloses a dynamic intelligent interview method for intensifying sorting. The dynamic intelligent interview method comprises the following steps: customizing an enterprise personalizedscheme, constructing an AI evaluation model, constructing a regression model, tracking practice candidates, and optimizing a reinforced learning model. Interview questions are formulated through personalized customization and structural interview; candidates are invited to perform online video interview; expressions, appearance levels, sounds and answer texts of the candidates are evaluated by utilizing an artificial intelligence algorithm; by taking the decision result of the professional HR as a regression target, the interview cost of the enterprise and job seekers can be saved, a quick, objective and accurate interview evaluation result is realized, and meanwhile, the score interval of excellent employees of the enterprise is taken as an optimal matching interval, so that the talent loss of the enterprise can be better reduced, and the waste of recruitment resources is reduced.

The invention provides a remote interview method having psychology assistive determination. The method photographs a job seeker through a photographing device, is assisted by a network server to process and analyze an image through big data, and establishes a face model to analyze subtle emotion changes and behavior dynamics of a patient. Therefore, the method can analyzes psychology and mentality of a talking target and increase recruitment efficiency and recruitment quality.

The invention provides an auxiliary interview method and device based on artificial intelligence and a storage medium. The method comprises the following steps: receiving description information of posts, and receiving description information of applicants; based on a pre-trained auxiliary interview model, determining first parameter distribution corresponding to the description information of theposts and determining second parameter distribution corresponding to the description information of each applicant, with the first parameter distribution being used for indicating a distribution situation of topics involved in the description information of the posts and the second parameter distribution being used for indicating a distribution situation of topics involved in the description information of each applicant; determining the matching degree between the post and each applicant according to the first parameter distribution and the second parameter distribution; and screening out the target applicant corresponding to the matching degree meeting the preset first condition. According to the invention, an interviewer can be assisted to perform interview in combination with an artificial intelligence technology, objective data support is provided, subjectivity and one-sidedness in traditional interview are effectively avoided, and the interview effect is improved.

The invention discloses an interview method based on artificial intelligence, and relates to the technical field of artificial intelligence, and the method comprises the steps: receiving inputted identification information and collecting a corresponding face image when an interview function is detected to be triggered; determining whether a matched target resume exists in a preset resume library based on the identification information and the face image; when it is determined that a matched target resume exists, obtaining the target resume and identifying a feature identifier of the target resume; and obtaining corresponding interview questions from a preset interview question bank based on the feature identifier, and displaying the interview questions. The invention further provides an interview device based on the artificial intelligence, computer equipment and a storage medium. Remote interview primary screening without geographical limitation is realized, interview screening does not need to be carried out one by one, interviewer information determination and interview test question acquisition are carried out in a unified manner, the time of both interviewer sides is saved, and the interview efficiency is also improved.

The invention is suitable for the technical field of computer application, and provides an interview method and device based on an AI auxiliary interview scene and terminal equipment, and the method comprises the steps: obtaining voice content expressed by an interviewer, and converting the voice content into text content; performing word segmentation processing on the text content to obtain a word segmentation database; acquiring key information from a word segmentation database; judging a current interview scene type according to the key information, selecting whether to start a similar question engine or not according to the interview scene type, obtaining a question template according to a processing result of the similar question engine when the similar question engine is started, andselecting a scoring model to score answers of the interviewer; and when the similar question engine is not started, obtaining a question template according to the key information, and selecting a scoring model to score answers of the interviewer. The accuracy of AI interview evaluation can be improved while the flexibility and subjective initiative of real interview are reserved.

The invention discloses an auxiliary interview method, device and equipment based on artificial intelligence and a storage medium, which are used for recommending interview problems to interview officers, scoring according to interview contents of applicants and sending interview scores to the interview officers as reference bases, so that the interview efficiency is improved, and the interview process of the interview officers is standardized. The method comprises the following steps: acquiring personal information of an interviewer, wherein the personal information comprises an interview post, a personal resume and a written test score; sending an interview recommendation problem to the interviewer according to the personal information of the interviewer; obtaining a target interview question and a target answer of an interviewer to the target interview question in the interview process, wherein the target interview question is a question proposed by an interviewer according to the interview recommendation question; judging whether the target interview problem is in a preset model problem library or not through a preset problem matching model; and if it is determined that the target interview question is in a preset model question library, generating a score of the target answer through a preset scoring model.

The embodiment of the invention discloses an interview method and device and a computer readable storage medium, and relates to the technical field of communication. The interview method comprises thefollowing steps: obtaining interview test questions, and asking an interviewer according to the interview test questions; recording the reply of the interviewer, and calling a text processing engineto analyze whether the record contains a questioning keyword or not in real time; and if the interviewer contains the questioning keyword, searching a questioning test question matched with the questioning keyword from a question bank, and questioning the interviewer according to the questioning test question. The interview method and device and the computer readable storage medium can be used forimproving the flexibility, the assistance and the interactivity of the robot device in the interview.

The invention discloses a remote interview method. The method is based on a self-service terminal, a labor employment cloud platform and a fourth-party cloud platform, and a job seeker can be connected with the labor employment cloud platform and the fourth-party cloud platform through the self-service terminal so that a video interview can be achieved. Sounds and images are synchronous in the remote video interview, the right to know of an employing unit and the right to know of an interviewee are guaranteed, the interview quality is guaranteed, the employing unit can fully know about the information of the interviewee, the interviewee can fully show himself/herself, it is guaranteed that surplus rural labor people depart after operating posts are determined, the expenditure is reduced, and the transfer efficiency of the surplus rural labor people is improved.