Automatic management method for interview process

Abstract

The invention is applicable to the field of information processing, and provides an automatic interview process management method, which comprises the following steps of: constructing an evaluation system; idle time of interviewers and candidates is calculated, multi-round coordination can be carried out when time conflicts occur in combination with an existing schedule management tool according to a set priority rule, and suitable interview time is generated; interview notifications are sent to interviewers and candidates through various communication modes such as e-mails and short messages, and reminding is sent for many times one day before interview and one hour before interview; in the interview process, an audio and video recording function is started, and the recorded important dialogue content is transcribed into a text record; a natural language processing technology is adopted to analyze recording-to-text data, key answer information of candidates in interview is extracted, an evaluation report containing evaluation suggestions in terms of language expression and professional skills is generated, arrangement, reminding, recording and evaluation of interview can be automatically performed, and interview management efficiency and evaluation objectivity are remarkably improved.

Description

Technical Field

[0001] The invention belongs to the field of information processing, and in particular relates to an interview process automation management method. Background Art

[0002] In modern enterprise operations, talent is the core competitiveness, and interviews are a key link in talent screening, and their management process is crucial. At present, the traditional interview process mostly relies on manual operations by human resources personnel, from the tedious notification of interviewers and candidates in the early stage, the difficult coordination of the time of both parties, to the organization and implementation of mid-term interviews, and then to the manual recording of evaluation information in the later stage, the whole process is time-consuming and laborious.

[0003] As the scale of enterprises expands and recruitment needs surge, the number of interviews increases and the process becomes increasingly complex, the disadvantages of manual operations become more and more obvious. Inefficiency leads to longer recruitment cycles, errors easily lead to time conflicts and misunderstandings, incomplete information records make it difficult to accurately judge talents, and subjective assessments lead to inaccurate selection of talents. It is urgent to innovate to an automated management model. Summary of the invention

[0004] The purpose of the present invention is to provide an interview process automation management method, aiming to solve the problems raised in the above background technology.

[0005] The present invention is achieved in that the method comprises:

[0006] Establishing an evaluation system;

[0007] Calculate the free time of interviewers and candidates, combine existing schedule management tools, and according to the set priority rules, multiple rounds of coordination can be carried out when time conflicts occur to generate suitable interview times;

[0008] Send interview notifications to interviewers and candidates via email, SMS and other communication methods, and send multiple reminders one day before the interview and one hour before the interview;

[0009] During the interview, the audio and video recording function is activated, and the important recorded conversation content is transcribed into text records, and all data is stored in a centralized database;

[0010] Use natural language processing technology to analyze the audio-to-text data, extract key information from the candidate's answers during the interview, and generate an assessment report containing assessment suggestions on language expression and professional skills;

[0011] The evaluation report generated with evaluation suggestions on language expression and professional skills specifically includes:

[0012] Perform data cleaning on text data to generate differentiated text;

[0013] Based on the preset question-answer structure tags, the question blocks and answer blocks divided by the candidate are extracted from the differentiated text, and the question blocks are paired with the answer blocks;

[0014] Generate multimodal scores based on paired question blocks and answer blocks and evaluation systems;

[0015] Generate and store evaluation report text based on multimodal scoring using natural language generation technology and preset report templates;

[0016] Based on the evaluation report text, use visualization tools to generate scoring radar charts and bar charts.

[0017] As a further solution of the present invention, the construction of the evaluation system specifically includes:

[0018] In the dimension of language expression, we construct detailed quantitative rules to generate quantitative scores of expression ability by counting the frequency of use of professional vocabulary in the candidate's answer blocks, the accuracy of semantic associations, and the logical coherence and fluency of the sentences;

[0019] In the professional skills dimension, based on the pre-set technology stack requirements for the recruitment positions, we define keywords and typical answer features corresponding to different skill points, scan the candidate's question blocks and answer blocks, match the correlation strength between the candidate's answer blocks and the typical answer features, and generate an accurate professional skills score.

[0020] As a further solution of the present invention, when calculating the free time of the interviewer and the candidate, interfaces of different schedule management software are compatible, and the schedule information of the interviewer and the candidate can be obtained across platforms.

[0021] As a further solution of the present invention, data stored in a centralized database has an encryption function.

[0022] As a further solution of the present invention, after generating an evaluation report including evaluation suggestions on language expression and professional skills, the evaluation report is optimized for a second time based on the candidate's historical interview data and the company's job requirements.

[0023] The present invention provides an automated interview process management method that can automate the arrangement, reminder, recording and evaluation of interviews, significantly improving the efficiency of interview management and the objectivity of evaluation. By comprehensively recording the interview process and using NLP technology to analyze the interview content, it ensures that important information is not missed and the evaluation is more consistent and accurate. The automatic scheduling and reminder mechanism reduces the possibility of human error and can flexibly respond to temporary changes, enhancing the reliability and flexibility of interview management. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is the main flow chart of an interview process automation management method.

[0025] Figure 2 It is a flowchart that generates an evaluation report containing evaluation suggestions on language expression and professional skills in an automated interview process management method. DETAILED DESCRIPTION

[0026] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0027] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0028] The present invention provides an interview process automation management method, which solves the technical problems in the background technology.

[0029] An automated interview process management method, such as Figure 1 and Figure 2 As shown, the method includes:

[0030] Step S100: constructing an evaluation system;

[0031] Step S200: Calculate the free time of the interviewer and the candidate, combine with the existing schedule management tools, and according to the set priority rules, when time conflicts occur, multiple rounds of coordination can be performed to generate a suitable interview time;

[0032] Step S300: Send interview notices to interviewers and candidates via email, SMS, and multiple reminders one day and one hour before the interview;

[0033] Step S400: During the interview, the audio and video recording function is activated, and the important recorded conversation content is transcribed into text records, and all data is stored in a centralized database;

[0034] Step S500: Analyze the audio-to-text data using natural language processing technology, extract key information of the candidate's answers in the interview, and generate an assessment report containing assessment suggestions on language expression and professional skills;

[0035] The evaluation report generated with evaluation suggestions on language expression and professional skills specifically includes:

[0036] Step S501: clean the text data to generate differentiated text;

[0037] Step S502: based on the preset question-answer structure tags, extract the question blocks and answer blocks divided by the candidate from the differentiated text, and pair the question blocks with the answer blocks;

[0038] Step S503: Generate a multimodal score based on the paired question block and answer block and the evaluation system;

[0039] Step S504: Based on the multimodal scoring, using natural language generation technology and a preset report template, generate and store the evaluation report text;

[0040] Step S505: Based on the evaluation report text, using visualization tools, generate a scoring radar chart and a bar chart;

[0041] When this embodiment is applied, an automated system integrating multiple functions is constructed. First, artificial intelligence and schedule management tools are integrated to automate the key links of the entire interview process. In terms of time scheduling, it can intelligently calculate the free time of interviewers and candidates, cross-platform compatible schedule software to ensure comprehensive and accurate information, and coordinate conflicts in multiple rounds according to priority rules to generate the best interview time; in terms of notification, with the help of multi-channel communication, participants are reminded multiple times at key nodes to ensure attendance rate; process records are recorded and transcribed through audio and video and stored in an encrypted centralized database; in the analysis stage, natural language processing technology is used to deeply analyze the transcribed text, extract key answer information, and further construct an evaluation system to generate multi-modal scores covering language expression and professional skills assessment suggestions. Finally, with the help of natural language generation technology and visualization tools, standardized and readable evaluation report text and intuitive graphics are generated to assist interviewers in making objective decisions.

[0042] As a preferred embodiment of the present invention, the construction of the evaluation system specifically includes:

[0043] In the dimension of language expression, we construct detailed quantitative rules to generate quantitative scores of expression ability by counting the frequency of use of professional vocabulary in the candidate's answer blocks, the accuracy of semantic associations, and the logical coherence and fluency of the sentences;

[0044] In the professional skills dimension, based on the pre-set technical stack requirements of the recruitment position, we define the keywords and typical answer features corresponding to different skill points, scan the candidate's question blocks and answer blocks, match the correlation strength between the candidate's answer blocks and the typical answer features, and generate accurate professional skills scores:

[0045] When this embodiment is applied, a set of rigorous and detailed quantitative rules are designed for the language expression dimension. Through in-depth analysis of the professional vocabulary application, semantic logic, and sentence fluency in the candidate's answer block, the expressive ability is accurately quantified; the professional skills dimension is closely centered on the technical stack requirements of the recruitment position, pre-defined skill keywords and typical answer characteristics, and a comprehensive scan of the candidate's question and answer content, accurately matching the correlation strength, thereby obtaining a professional skills score. This evaluation system lays a solid foundation for the subsequent generation of a comprehensive, objective, and job-specific evaluation report to ensure the scientific nature of talent selection.

[0046] As a preferred embodiment of the present invention, when calculating the free time of the interviewer and the candidate, interfaces of different schedule management software are compatible, and the schedule information of the interviewer and the candidate can be obtained across platforms:

[0047] When this embodiment is applied, it breaks the platform barriers by being compatible with the interfaces of different schedule management software, and has powerful cross-platform information acquisition capabilities. Whether it is common office schedule software or enterprise customized schedule system, it can be seamlessly connected and widely collect various types of schedule information, providing a solid data foundation for accurately arranging interview time, greatly improving the accuracy and comprehensiveness of time coordination, and avoiding interview arrangement conflicts caused by missing information.

[0048] As a preferred embodiment of the present invention, data stored in a centralized database has an encryption function;

[0049] It should be understood that the centralized database, as the core carrier for storing audio, video and text records of the entire interview process, uses industry standard encryption algorithms to perform high-intensity encryption on sensitive information. This effectively prevents the risk of data leakage during storage, transmission and subsequent calls, strictly protects corporate recruitment confidentiality and candidate privacy, and ensures that the entire interview process runs in a safe and reliable environment, so that companies and participants have no worries.

[0050] As a preferred embodiment of the present invention, after generating an assessment report including assessment suggestions on language expression and professional skills, the assessment report is optimized for a second time based on the candidate's historical interview data and the company's job requirements;

[0051] After the initial generation of the assessment report containing language expression and professional skills assessment suggestions, the system fully utilizes the advantages of big data, based on the candidate's past historical interview data, combined with the current dynamic needs of corporate positions, to perform secondary optimization and calibration of the assessment report. Through continuous learning and adjustment of the assessment standards, each subsequent assessment report can closely match the actual employment scenario changes of the company, provide interviewers with more valuable reference basis for decision-making, and help companies accurately screen talents.

[0052] The above-mentioned embodiment of the present invention provides an automated management method for the interview process, constructs an automated system integrating multiple functions, firstly integrates artificial intelligence and schedule management tools to realize the automation of key links in the entire interview process. In terms of time scheduling, it can intelligently calculate the free time of interviewers and candidates, and is compatible with calendar software across platforms to ensure comprehensive and accurate information. It can coordinate conflicts in multiple rounds based on priority rules to generate the best interview time. In terms of notification, it uses multi-channel communication to remind participants multiple times at key nodes to ensure attendance rate. The process records are stored in an encrypted centralized database through audio and video recording and transcription. In the analysis stage, natural language processing technology is used to deeply analyze the transcribed text, extract key answer information, and further build an evaluation system to generate multimodal scores covering language expression and professional skills assessment suggestions. Finally, with the help of natural language generation technology and visualization tools, standardized and readable evaluation report text and intuitive graphics are generated to assist interviewers in making objective decisions. For the language expression dimension, a set of rigorous and detailed quantitative rules are designed to accurately quantify the expression ability of candidates through in-depth analysis of professional vocabulary usage, semantic logic, and sentence fluency in the candidate's answer block. The professional skills dimension is closely centered on the technical stack requirements of the recruitment position, pre-defines skill keywords and typical answer features, comprehensively scans the candidate's question and answer content, and accurately matches the correlation strength to derive a professional skills score. This evaluation system lays a solid foundation for the subsequent generation of comprehensive, objective and job-specific evaluation reports, ensuring the scientific nature of talent selection. By being compatible with interfaces of different schedule management software, it breaks down platform barriers and has a strong cross-platform information acquisition capability. Whether it is common office schedule software or enterprise customized schedule systems, it can be seamlessly connected, widely collect various schedule information, and provide a solid data foundation for accurately arranging interview times, greatly improving the accuracy and comprehensiveness of time coordination, and avoiding interview arrangement conflicts caused by missing information. The centralized database is the core carrier for storing audio, video and text records of the entire interview process. It uses industry standard encryption algorithms to perform high-intensity encryption processing on sensitive information. This effectively prevents the risk of data leakage during storage, transmission and subsequent calls, strictly guards corporate recruitment secrets and candidate privacy, ensures that the entire interview process runs in a safe and reliable environment, and allows companies and participants to have no worries. It can automate the arrangement, reminders, recording and evaluation of interviews, significantly improving the efficiency of interview management and the objectivity of evaluation. By fully recording the interview process and using NLP technology to analyze the interview content, it ensures that important information is not missed and the evaluation is more consistent and accurate. Automatic scheduling and reminder mechanisms reduce the possibility of human error and can flexibly respond to temporary changes, enhancing the reliability and flexibility of interview management.

[0053] In order to load the above-mentioned method and system and enable it to run smoothly, the system, in addition to the various modules mentioned above, may also include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, processors and memories, etc.

[0054] The processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the system, and various interfaces and lines are used to connect various parts.

[0055] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0056] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0057] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for automated management of interview processes, characterized in that: The method comprises: Establishing an evaluation system; Calculate the free time of interviewers and candidates, combine existing schedule management tools, and according to the set priority rules, multiple rounds of coordination can be carried out when time conflicts occur to generate suitable interview times; Send interview notifications to interviewers and candidates via email, SMS and other communication methods, and send multiple reminders one day before the interview and one hour before the interview; During the interview, the audio and video recording function is activated, and the important recorded conversation content is transcribed into text records, and all data is stored in a centralized database; Use natural language processing technology to analyze the audio-to-text data, extract key information from the candidate's answers during the interview, and generate an assessment report containing assessment suggestions on language expression and professional skills; The evaluation report generated with evaluation suggestions on language expression and professional skills specifically includes: Perform data cleaning on text data to generate differentiated text; Based on the preset question-answer structure tags, the question blocks and answer blocks divided by the candidate are extracted from the differentiated text, and the question blocks are paired with the answer blocks; Generate multimodal scores based on paired question blocks and answer blocks and evaluation systems; Based on multimodal scoring, natural language generation technology and preset report templates are used to generate and store evaluation report texts; Based on the evaluation report text, use visualization tools to generate scoring radar charts and bar charts.

2. The interview process automation management method according to claim 1, characterized in that: The construction of the evaluation system specifically includes: In the dimension of language expression, we construct detailed quantitative rules to generate quantitative scores of expression ability by counting the frequency of use of professional vocabulary in the candidate's answer blocks, the accuracy of semantic associations, and the logical coherence and fluency of the sentences; In the professional skills dimension, based on the pre-set technology stack requirements for the recruitment positions, we define keywords and typical answer features corresponding to different skill points, scan the candidate's question blocks and answer blocks, match the correlation strength between the candidate's answer blocks and the typical answer features, and generate an accurate professional skills score.

3. The interview process automation management method according to claim 1, characterized in that: When calculating the free time of interviewers and candidates, it is compatible with the interfaces of different schedule management software and can obtain the schedule information of interviewers and candidates across platforms.

4. The interview process automation management method according to claim 1, characterized in that: Data is stored in a centralized database with encryption.

5. The interview process automation management method according to claim 1, characterized in that: After generating an assessment report that includes assessment suggestions on language expression and professional skills, the assessment report is optimized again based on the candidate's historical interview data and the company's job requirements.

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