46 results about "Video interview" patented technology

A web-based system and method for screening job candidates comprising designing a website having essential screening components for one or more specific job openings. The screening components comprise a list of one or more job candidates who have been pre-qualified for a specific job opening according to designated screening components. One of the essential screening components listed on the web site is a video interview of the prescreened job candidate in combination with a resume and test results, if any, for the listed job candidate. The screening components further comprise background checks, credit checks, personality tests, skills tests, and drug tests. The results of administering the screening components are hyperlinked to the web page comprising the list of candidates. Accessibility to the web site is limited to authorized users.

In order to offer contents on demand services triggered by broadcasted TV programs in an efficient and effective way, notifications are received by a TV receiver, for example, a set-top box, on the availability of additional contents, such as, movie tracks, back stages, audio and / or video interviews, written articles, songs, photos, games, software programs, catalogues, brochures, electronic books, electronic tickets, electronic discounts, and electronic bonuses, together with TV programs, and these additional contents are automatically collected and stored into electronic appliances, for example, a portable electronic appliance, at the request of a user.

The invention provides an artificial intelligence video interview method and system. According to the intelligent video interview method and system, a video interview mode is adopted; expression analysis, sound analysis and analysis on answers of interview questions in the interview process are provided for job seekers through an artificial intelligence technology; the expression ability, the expression method, the matching degree with the post and the like of the job seeker can be automatically, accurately, comprehensively and efficiently evaluated; according to the method, the employer can be helped to screen the applicant according to the comprehensive evaluation result, the job seeker can fully understand the advantages and disadvantages in the interview process through feedback of comprehensive evaluation, pertinence is improved, the job seeker is helped to improve the quality of the job seeker, and the interview success rate is increased.

A method and system is provided for conducting a remote employment video interview. The method includes allowing a candidate to access a remote server and selecting a position for which the candidate wishes to apply. The candidate is presented with questions to which the candidate responds, using a camera and microphone of a telecommunications device, such as a computer or other suitable device. The candidate can review, re-record or accept a response. Advantageously, accepting a response results in the candidate being presented with a next question. This procedure continues until the candidate has responded to all questions. Optionally, the candidate may submit a resume. The responses are uploaded to a server and the employer which the candidate has selected is provided with a reference link, via email, corresponding to a location on the server where the candidate's responses are stored. The employer uses the reference link to access the video interview in the form of either streaming video or, optionally, as a multimedia file, after proper authentication.

Systems and methods are provided for performing unbiased recruitment by modifying one or more informative personal attributes from a resume, or audio or audio-video interviews (live or recorded). Modifying may be masking (e.g., redacting, removing, hiding, covering, etc.) or altering (e.g., blurring, disguising, substituting, replacing, etc.), or both, and may be applied independently to the same or different personal attributes. Personal attributes may be masked, altered, or both, for all or a portion of an interview, with audio and video processing techniques being applied on a concurrent and continuous basis. Personal attributes which may be a basis for bias, discrimination or prejudice, whether conscious or unconscious, during a candidate interview include, without limitation, one or more of: color, gender, age, disability, religion, ethnicity, sexual orientation, appearance, clothes, pregnancy, parental status, marital status, caste, class, address, phone number, accent, salary, college, location, residential address, employment timeline, and the like.

The invention relates to a system and method for interactive interview and recruitment which comprises of plurality of interactive application means for collecting recruiters of hiring needs of first type seeking video interview assistance and of second type seeking automatch assistance; plurality of interactive application means for collecting resume of prospective applicants of first type seeking video interview assistance and of second type seeking automatch assistance; plurality of interlace application means for automatching the resume of second type and forwarding the same along with resume of first type to recruiters of first type, and the interface application means further automatching the resume of second type and forwarding the same to recruiters of second type; and plurality of interactive application means for enabling video communications between the interfaced first type applicants and the first type recruiters.

The invention discloses a system and a method for online video interview. The system comprises an information input device, an enterprise information module, a personal information module, a system processing module and an online interview management module. The method includes that the information input device acquires video, audio and textual data; the enterprise information module acquires different types of application data of enterprise users and transmits the same to the system processing module; the personal information module receives information data of personal users and transmits the same to the system processing module; the system processing module processes the received different types of data information according to established rules, distributes interview rooms and builds textual data channels; the online interview management module builds video and audio data channels and records interview processes in real time. The system provides a video interview service on the basis of browsers, no client side software is needed for both recruiters and interviewees, interview can be performed with microphones and cameras, and therefore, recruitment efficiency of enterprises is improved while interview cost is saved for both the recruiters and the interviewees.

Aspects of an asynchronous video interview system and related techniques include a server that receives a plurality of pre-recorded video prompts, generates an interview script, transmits a video prompt from the interview script to be displayed at a client computing device, and receives a streamed video response from the client computing device. The server can perform algorithmic analysis on content of the video response. In another aspect, a server obtains response preference data indicating a timing parameter for a response. In another aspect, a video prompt and an information supplement (e.g., a news item) that relates to the content of the video prompt are transmitted. In another aspect, a server automatically selects a video prompt (e.g., a follow-up question) to be displayed at the client computing device (e.g., based on a response or information about an interviewee).

The invention discloses a method and device for an interview through a video interview platform of a mobile terminal, and the method comprises the step that a video resume and a text resume of an interviewee are uploaded to a cloud server for storage; an interviewer fills the detailed talent demand information in the video interview platform of the mobile terminal, and transmits the talent demand information to an enterprise HR director, and the enterprise HR director enables the talent demand information to serve as a screening condition and to be released on the video interview platform; the cloud server searches candidates matched with the screening condition, and transmits the video resumes and text resumes of the found candidates to the interviewer; the interviewer screens out the final interviewees, meeting a final condition, from the candidates, and directly initiates the video call or makes a video interview appointment; the interviewer feeds back the interview result to the enterprise HR director through the video interview platform of the mobile terminal. The method can save the interview cost of two sides, enables an enterprise to quickly find the right talents, and enables the interview to be more convenient.

The invention provides a video interview system and a video interview processing method. The system comprises an information receiving module, a matching module, a video request module and a video connection module, wherein the information receiving module is used for receiving position conditions input by enterprise users and receiving personal resumes input by personal users; the matching module is used for carrying out matching on the position conditions and the personal resumes by adopting a pre-built matching model, recommending the personal users matched with the position conditions to the enterprise users and recommending the enterprise users matched with the personal resumes to the personal users; the video request module is used for receiving video call requests input by the enterprise users or the personal users; and the video connection module is used for establishing video call connection with a preset time duration for the matched personal users and enterprise users according to the video call requests.

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 relates to the technical field of computer application, in particular to a video interview method and system based on an expression analysis technology, and the method comprises the steps: S10, if a job seeker interview request is obtained, sending an interview video to a client which triggers the job seeker interview request; S20, obtaining a job seeker answer video corresponding tothe interview video, and obtaining a job seeker face image in the job seeker answer video; S30, processing the job seeker face image by using a face expression analysis model to obtain job seeker expression data; and S40, processing the expression data of the job seeker, and obtaining corresponding score information of the job seeker according to a processing result. The method has the effect ofimproving the interview efficiency.

The invention discloses a method and a system for appointing a remote video interview by family members. The method comprises the following steps that a user terminal accepts an appointment request from the family members, and transmits the appointment request to an outer-net server; the outer-net server queries whether usable match interview resources exist according to the appointment request; if the usable match interview resources exist, the outer-net server transmits the appointment request to a designated audit terminal to perform audit via a gatekeeper and an intranet server, wherein the designated audit terminal corresponds to a prison where prisoners are located; if the audit of the appointment request is passed, the audit terminal returns an instruction for permission of interview to the outer-net server via the intranet server and the gatekeeper; and the outer-net server returns information indicating that the appointment is successful to the user terminal after receiving the instruction for permission of interview. The appointment method disclosed by the invention not only improves efficiency of appointment and improves appointment experience of the family members, but also improves the use ratio of the interview resources in each prison.

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 employment management school terminal and an employment management method and system, wherein the employment management school terminal comprises: an enterprise recruitment management module used for processing student resumes and which comprises an invitation number module that is used by enterprise terminals to select at least one interview time number range when originating a video interview invitation; a student employment interaction module used for submitting resumes to the enterprise terminals, receiving feedback results from the enterprise terminals, feeding back a message of taking the video interview invitation if the feedback result is a pass, and receiving interview time number ranges fed back by the enterprise terminals according to the message; a queue module used for allocating an independent video interview room for each enterprise terminal, and sorting students according to the interview time number ranges to form a queue; a video interview module used for transmitting video images and audio data of the enterprise terminals and students in the interview rooms in real time. The technical problems of the prior art are solved, for instance, the processes that, for example, when obtaining employment, students submit their resumes offline, wait for interviews and go for the interviews are complex, and schools are unable to provide centralized management.

The invention provides a state judging method for applying short text classification to video, which comprises the following steps: S1, preprocessing the original text in the video process, includingword segmentation and removing deactivation; S2, vectorizing the preprocessed text, and converting the short text in the original text into a mapping matrix; the mapping matrix and the kernel matrix with the weight value of 1 are convoluted to obtain the potential multi-scale candidate semantic units in the text; S3, find that nearest neighbor word representation of each candidate semantic unit, and calculating the Euclidean distance of all word representation vectors in the candidate semantic unit and the vector space. The invention has the beneficial effects that the short text classification based on the convolution neural network is applied to the judgment of the state in the video interview, and can be applied to the video interview, the intention of the candidate can be understood, the artificial intelligence interview can be realized, and the judgment of the state in the video in other fields can be expanded.

The invention provides a team recruitment system based on 3D virtual reality technology, and the system comprises a job seeker terminal which is used for enabling a job seeker to check recruitment information and deliver a resume; a recruitment enterprise terminal used for receiving the resume delivered by the job seeker terminal and organizing an interview; a video interview module used for performing interview in a video mode; a 3D virtual scene module used for establishing a 3D virtual reality network space and system; a panoramic camera used for shooting the job seeker in real time to obtain a panoramic image; and a server used for transmitting the 3D virtual reality network space and system to the recruitment enterprise terminal and transmitting the panoramic image of the job seeker to the recruitment enterprise terminal. According to the team recruitment system based on the 3D virtual reality technology, job seekers can truly and super-truly know the working scene of the enterprise team, so that whether the job seekers like the working scene of the enterprise team or not is determined, the demission rate can be reduced after the job seekers successfully apply for recruitment,and economic losses brought by demission to the enterprise team and the job seekers are reduced.

The invention discloses a 3D (three-dimensional) virtual video recruitment network platform based on a Web (website). A 3D virtual scene module, a scene navigation module, a resume submitting module, a video interviewing module, an instant communication module and an evaluation module are connected with a main control module to carry out mutual data transmission. The recruitment network platform has the advantages that a 3D virtual scene is built and embedded in a browser, so a user can experience a real recruitment scene on the recruitment network platform, and the interaction in the recruitment process is increased; the recruitment processes, such as resume submitting and field interviewing, are directly completed on the recruitment network platform, so the recruitment costs of an interviewee and an enterprise are saved, and the recruitment efficiency and the job hunting success rate are improved; and through the mutual evaluation on honesty, the credits of the interviewee and the enterprise are monitored, the uncertainty and the risk in the recruitment process are avoided, and the truth of the information is improved.

The invention discloses a video interview method based on the Internet. The method comprises the steps of obtaining resume information uploaded by an applicant user terminal and sending the resume information to a corresponding recruitment enterprise terminal; after a confirmation instruction sent by the recruitment enterprise terminal after obtaining the resume information is obtained, the related contact information of the recruiter is displayed, so that the applicant is in contact with the recruiter through the contact information; after confirming that the applicant is in contact with therecruiter, acquiring video data uploaded by the recruitment enterprise terminal and the applicant user terminal and performing video online interaction; in video online interaction, score texts uploaded by recruiters through recruitment enterprise terminals are acquired in real time, recognized, extracted and analyzed to obtain interview scores of applicants; sorting according to the interview scores of the applicants and displaying results. According to the invention, online scoring is carried out on the interviewer through the video interview applicant in combination with the scoring system,and the ranking is automatically calculated, so that the recruitment efficiency is improved.

The invention discloses a recruitment management system capable of realizing video interview. The recruitment management system comprises a company system, a personal system, a video interview moduleand a system matching module, wherein the company system comprises a company registration and login module and a company information processing module; the company information processing module is accessed to the system matching module through the recruitment information publishing module; the company information processing module receives job hunting information provided by the system matching module by recommending a proper job hunting information module; and the company information processing module screens job hunting information through the company screening and invitation module, initiates an invitation to a person, waits for a personal response module connected with the personal system to respond, and enters the video interview module if agreement is made, and the personal system isprovided with a corresponding processing module corresponding to the company system. The interview efficiency and quality are effectively improved, and the recruitment interview time cost is saved.

In order to offer contents on demand services triggered by broadcasted TV programs in an efficient and effective way, notifications are received by a TV receiver, for example, a set-top box, on the availability of additional contents, such as, movie tracks, back stages, audio and / or video interviews, written articles, songs, photos, games, software programs, catalogues, brochures, electronic books, electronic tickets, electronic discounts, and electronic bonuses, together with TV programs, and these additional contents are automatically collected and stored into electronic appliances, for example, a portable electronic appliance, at the request of a user.

The invention provides an information processing method for realizing a virtual user card. The method comprises steps: application information is acquired through an online application page of the virtual user card, and a virtual user card application request is initiated to transit service according to the application information; an authentication page identifier returned by the transit service is received, wherein the authentication page identifier is returned by the transit service according to whether the current application is the secondary application of the user card; according to the authentication page identifier, the virtual user card application authentication is jumped to enter, wherein the virtual user card application authentication comprises two-card user authentication and video interview; and the virtual user card information issued according to the authentication passing result is received. Besides, the invention also provides an information processing system for realizing the virtual user card matched with the method. The above information processing method and the system for realizing the virtual user card can be applied to all card holding conditions, and the user card issuing safety and the time cost reduction can be ensured.

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.

The invention discloses an online self-service interview method based on natural language understanding, and the method comprises the steps: setting interview questions, question answers and questionweights, and generating an interview question bank; collecting resume information, wherein the resume information comprises a resume photo; based on the resume information, setting an evaluation rule,carrying out resume evaluation to obtain a resume evaluation result, and screening out a resume qualifier according to the resume evaluation result; enabling the resume qualifier to continue to participate in the network video interview, outputting questions and starting questioning, storing answer content of the interviewee in a system, carrying out semantic matching on the answer content and the question answers, and based on the semantic matching, obtaining related questions in the interview question bank and starting the next questioning; and based on the semantic matching, obtaining theanswer accuracy of the interviewee, and making interview evaluation.

The invention discloses a video interview multi-dimensional scoring method and system, computer equipment and a storage medium. The scoring method comprises the following steps of performing data preprocessing on video interview data of an applicant; based on the preprocessed data, performing multi-dimensional scoring on the applicants through a multi-dimensional scoring module, and generating a video interview multi-dimensional analysis report; when the applicant interview result data is accumulated to a preset number, starting a comprehensive recommendation index algorithm module, and fitting a comprehensive recommendation index model of a target position in combination with a multi-dimensional scoring module; and outputting a corresponding recommendation index from the new applicant data through the comprehensive recommendation index model of the target position, and pushing the recommendation index to a video interview multi-dimensional analysis report. According to the method, multi-dimensional scores such as statement quality and competency can be output on the basis of video interview, a fitting algorithm can be automatically learned by automatically combining multiple dimensions on the basis of an evaluation result of an interviewer, a comprehensive recommendation index model is generated, and an enterprise is helped to complete a high-quality screening target.

The invention provides a business handling environment recognition method. The method comprises the steps of: obtaining audio data in current business handling environment; filtering and separating the audio data so as to separate target audio data except audio data of a client; converting the target audio data into text information; and determining whether the current business handling environment is located in an insecure state or not according to the text information, and if the determination result is positive, outputting prompt information. The method is capable of grasping the business handling environment of customers in time without video interview, and outputting prompt information in time when judging that the customers are located in insecure business handling environment, so asto remind related personnel to adopt corresponding measures and then avoid the condition that lawbreakers threaten the customers to handle certain businesses.

The invention discloses a simulation interview platform based on AI, and the platform comprises the steps: firstly judging user types which comprise two types: common users, i.e., job hunting users and enterprise HR or technicians; the common user logs in through registration, fills in a resume and selects employment information and then submits the resume; the enterprise HR or the technician creates a reservation through registration authentication; after submitting the resume, the common user selects an AI voice interview or an AI voice plus video interview, selects a simulation surface testquestion for testing, selects a real enterprise HR interview, selects a real enterprise technician for interview or selects to purchase learning materials. According to the invention, common interview questions and interview contents of all posts are collected; and after submission, the AI judges the answer content, publishes a correct answer to an applicant and informs the applicant of the lackof points, and recommends learning materials to specially help the applicant to understand their own deficiencies, so that the own ability and overall employment rate of the user are improved.

The invention relates to a human resource recruitment information management system, which comprises a recruitment information webpage end and a server background, wherein the recruitment informationwebpage end comprises a recruitment system and a recruitment system, the recruitment system comprises an enterprise terminal login interface and a recruitment information interface, and the recruitment information interface comprises a recruitment information public delivery interface, a physical examination requirement editing module, a character requirement editing module, a resume receiving module and a network video interview initiating interface; the recruitment information public delivery interface comprises an industry field editing module, an enterprise basic information editing module, a recruitment post editing module, a welfare editing module, a working environment uploading module, an enterprise news uploading module, an environment evaluation public module and a post evaluation public module; the recruitment system comprises a recruitment login interface, a resume editing interface and a post retrieval interface. The enterprise recruitment efficiency is improved, an applicant knows the environment evaluation and post evaluation of the enterprise, and finds out a working post more suitable for the applicant through a personality test.

The invention provides a multi-modal analysis-based video interview evaluation method. The method comprises the following steps: receiving a short video of an interviewer applying to a specific post during interview; extracting audio data and video data in the short video; extracting the Mel-frequency cepstrum coefficient of the audio data as the input of the expression ability evaluation model based on voice analysis to obtain an expression ability evaluation score based on voice analysis; analyzing the video data to serve as input of an occupational matching model of the personal basic attributes, an image occupational degree evaluation model and a personality evaluation model of action analysis, and respectively obtaining an occupational matching degree score based on the personal basic attributes, an image occupational degree score and a personality evaluation score based on action analysis; and obtaining a comprehensive post matching degree score through summation and summation. According to the invention, rapid screening in massive video resumes can be realized, and the recruitment efficiency is improved.

The invention discloses an online job fair video interview implementation method. The method comprises that: (a) a meeting place page of an online air double-choice meeting is generated at a server; (b) a job seeker enters a meeting place page through a terminal; (c) the server queries whether the enterprise recruiter enters the interview room through the terminal or not; (d) if it is monitored that the enterprise recruiter is in the interview room, the server generates an interview identifier on the meeting place page; and (e) the job seeker enters the interview room through interaction withthe interview identifier. Through a set of feasible high-efficiency signal transmission mechanism, job seekers can clearly know the video interview state of the booth when browsing the enterprise booth, see interview identifiers generated by the system at the same time, and directly enter an interview room through one operation. The air double-selection method has the advantages of the Internet, and meanwhile efficient interviews which are the same as those of an offline double-selection method can be achieved.