81results about How to "Improve recruitment efficiency" patented technology

The invention provides a resume position matching method and device, wherein the resume position matching method comprises the steps of traversing all resume data in a resume database according to job description information preset by an enterprise user; determining first match scores of structural data of all the resume data and the job description information as well as second match scores of unstructured data and the job description information; weighing the first match scores and the second match scores to obtain match scores of the job description information and all the resume data; and a resume datum of which the match score exceeds a preset threshold is pushed to the enterprise user. According to the resume position matching method and the device provided by the invention, the recruitment efficiency of the enterprise user and the applying efficiency of an individual user are effectively improved.

The invention discloses an intelligent recruiting method using a robot. The method obtains recruiting demands of an enterprise or a work unit, releases the recruiting demands on a preset recruiting website, receives and screens resumes meeting the requirements, sends interview requests to job seekers whose resumes meet the requirements, interviews the job seekers, and determines whether to recruit the job seekers or not. The method solves the technical problem that recruiting in the prior art through human resources is high in labor cost, heavy in recruiting work load, and low in recruiting efficiency. The method realizes automatic recruiting through the robot. The whole recruiting process does not need any manual operation, is simple for realization, largely reduces the recruiting cost, and improves the recruiting efficiency.

The invention discloses a post portrait generation method and device, an electronic device and a computer readable storage medium, and the method comprises the steps: determining target employees according to a to-be-recruited post, and the target employees comprising employees who are working at the to-be-recruited post; calling a database interface to access a preset database to consult an employee file of the target employee so as to obtain behavior information and user information of the target employee; performing semantic analysis on the behavior information, and generating a behavior characteristic factor related to the post to be recruited based on a semantic analysis result; counting the user information, and determining professional characteristic factors related to the post to be recruited based on a counting result; and generating a post portrait of the to-be-recruited post according to the behavior characteristic factor and the professional characteristic factor. Through the scheme of the invention, the generated post portrait can be more objective, human resources are saved, and the recruitment efficiency during subsequent recruitment can be improved to a certain extent.

One or more embodiments of the present specification disclose an information management method, device and equipment based on a block chain and a storage medium. The method comprises: acquiring resumeinformation of a target personal user, the target personal user establishing a corresponding file in a block chain, verifying the resume information, and if the verification is passed, uploading theresume information to the file corresponding to the target personal user in the block chain. One or more embodiments of the present specification ensure the authenticity of the resume information of the target personal user, thereby improving the recruitment efficiency of the enterprise.

A recruitment information display method based on a socialized network system includes specific steps: 1) users register to be system members, namely users need to register when entering a network recruitment system; 2) users complete personal information, such as working places, work experiences, graduate schools, majors and native places; and users add interested working places or companies and subscribe relative recruitment information; 3) in the network recruitment system, besides the existing socialized information relative to information of the recruitment, such as the recruitment places and the recruitment companies, the recruitment information further includes social network information relative to the recruitment information; 4) when a user in the network recruitment system looks up into the recruitment information, an edge column is simultaneously displayed, and other users which are relative to the recruitment information and have social connection with the user are listed in the edge column; and 5) the user click into a homepage of a relative user to obtain information of the relative user. The recruitment information display method can improve efficiency of recruitment.

The invention provides an artificial intelligence-based talent big data quantitative accurate matching method, and belongs to the field of artificial intelligence. The method specifically comprises the following steps: (1) data collection: collecting information of registered user talents through talent software; (2) matching data collection: carrying out storage matching on the data via a cloud server; (3) talent data scoring: extracting sample data from the cloud server, carrying out classification and scoring according to industry types and extracting the scoring vector of the multi-class information in a resume; (4) classification of the scoring vector: dividing the scoring vector into a professional experience scoring vector, an educational background scoring vector, a business skillscoring vector, and a personal quality scoring vector. The invention is the artificial intelligence-based talent big data quantitative accurate matching method, which integrates information of variousaspects such as professional experience, educational background, business skills as well as personal qualities, and the like; and the final score value reflects the actual situation of the talent, thereby greatly improving the efficiency of recruitment. The method has a good application prospect.

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 embodiment of the invention discloses a recruitment information processing method and device, and the method comprises the steps: receiving a recruitment demand and a recruitment process sent by arecruitment party through a first terminal; generating a first intelligent contract according to the recruitment demand and the recruitment process; receiving first job hunting information sent by afirst user, the first job hunting information being used by the first user to recommend the first user to the recruiter, or the first job hunting information being used by the first user to recommenda second user to the recruiter; Verifying the legality of the first job hunting information; if the first job-hunting information meets the legality, judging whether the first job-hunting informationmeets the first smart contract or not; and if yes, sending the first job hunting information to the recruiter. According to the embodiment of the invention, the recruitment efficiency can be effectively improved, and the recruitment safety is further ensured.

The present application discloses a method and system for quantitatively evaluating the recruitment capability of a recruitment agency. The evaluation method scores recruitment data of a recruitment agency according to a set recruitment grade of each recruitment category, and calculates an evaluation score of the recruitment agency according to the set weight of each recruitment category. The recruitment category at least comprises the number of resumes of candidates recommended by the recruitment agency, the pass rate of interviews, the abandonment rate, the turnover rate during the probationperiod, and the recommended entry rate of the regular employees in the total number of employees. The evaluation system implements the evaluation method by setting corresponding modules. By using theevaluation score of the application, the employer can conveniently compare the recruitment ability of each recruitment agency horizontally, and determine and select the recruitment agency with the best performance in the future recruitment, so as to improve the recruitment efficiency, save the recruitment-related expenses and save the employment cost of the enterprise.

The invention relates to a recruitment website job hunting and recruitment information management system. The system comprises a job hunting user module, an enterprise client module and a recruitmentmanagement cloud, wherein the recruitment management cloud comprises an information acquisition module, a central processing unit, a classification module, a score sorting module, a storage module, ascreening module, a conversion module and an interview module; a central processor is in communication connection with a job hunting user module used for inputting job hunting information by a job hunter and an enterprise client module used for inputting recruitment information by a recruiter; the information acquisition module, the classification module, the score sorting module, the storage module, the screening module, the conversion module and the interview module are in communication connection with the central processing unit. According to the recruitment website job hunting and recruitment information management system provided by the invention, recruitment efficiency of enterprises and job hunting efficiency of applicants can be improved, excellent talents can be pushed to the enterprises, and high-quality enterprises can be pushed to the applicants.

The invention provides a resume information filtering method and device, a model training method and device, electronic equipment and a storage medium, and the filtering method comprises the steps ofcarrying out the field replacement of to-be-filtered resume information, and obtaining target resume information; based on a pre-trained information matching model, performing information matching onthe target resume information and preset post information to obtain a comprehensive matching degree; and determining a filtering result of the resume information according to the comprehensive matching degree. Through field replacement, the description terms of the resume information and the description terms of the recruitment post information are the same, the matching degree of the resume content and the post content is improved, and therefore the accuracy of a filtering result is improved.

The invention provides a personal information detecting and evaluating method and system. The problem that background information of job seekers cannot be accurately obtained in the prior art is solved. The method comprises the steps that personnel information is entered, and the entered personnel information is uploaded to a server; the server obtains the personnel information and then performs classification and storage according to key words; a terminal is connected to the server, the key words are utilized to retrieve the personnel information, and corresponding personnel information is obtained. The system comprises the server for storing the personnel information and providing personnel information retrieval, an attendance management system arranged in a usage place and in communicating connection with the server, and a query side in communicating connection with the server. By adopting the personal information detecting and evaluating method and system, the background situations of job seekers can be well known, further understanding to the job seekers can be deepened, the recruitment efficiency can be further improved, and resource waste is avoided.

The invention discloses a position information matching method and device, computer equipment and a storage medium. The method comprises the steps of acquiring personal information of in-service staffs, and adding matching items to preset specific requirements in a position matching model according to the personal information; acquiring demand information input by a user, judging the type of the demand information, and performing matching on the demand information according to the specific requirements and the matching items in the position matching model to obtain matching conditions; performing matching on the personal information of applicants according to the matching conditions so as to obtain matching results; and performing calculation to obtain matching probabilities between the personal information of the applicants and the demand information. The matching probabilities between the personal information of the applicants and the demand information are obtained by calculation through the trained position matching model, so that the staffs meeting the position information requirements of a company can be conveniently screened and obtained for an enterprise, the time needed for performing matching on the personal information of the applicants by the enterprise is greatly shortened, and the recruitment efficiency of the enterprise is improved.

The invention discloses an occupational matching degree evaluation method, an electronic device, computer equipment and a storage medium. The method comprises the following steps: obtaining a job resume; screening the obtained resumes to obtain resume screening results; in response to the condition that the resume screening result is passed, performing a primary selection test on the job seeker ofthe resume to obtain a primary selection test result; responding to the condition that the primary selection test result is passed, performing a reselection test on the job seeker of the job resume,and obtaining a reselection test result; and generating an evaluation report of the job seeker of the job resume according to the resume screening result, the primary selection test result and the reselection test result. According to the occupational matching degree evaluation method, the job seekers are automatically and gradually screened, the comprehensive evaluation report for the job seekersis generated, manual intervention is not needed in the period, the recruitment time and process are saved, the recruitment efficiency is improved, and the cost is reduced.

The method is suitable for the technical field of data processing. The invention provides a method and device for pushing recruitment recommendation service and a terminal. The method and device are characterized by constructing a knowledge graph according to enterprise information and applicant information; calculating the similarity between enterprises and the similarity between applicants according to the attribute information of the enterprise entities and the applicant entities contained in the knowledge graph so as to classify the enterprises and the applicants; scoring the same kind ofenterprises or the same kind of applicants; after the scoring results are weighted and sorted, generating and pushing corresponding recruitment recommendation services to the same kind of enterprisesor the same kind of applicants; and by recommending the same type of applicants to the same type of enterprises and pushing the same type of enterprises to the same applicant, achieving two-way recommendation, improving recommendation accuracy, enabling the enterprises or the applicants to quickly and accurately find the applicants or the enterprises meeting the requirements of the enterprises orthe applicants, and improving recruitment efficiency.

The invention is applicable to the technical field of data processing, and provides a method and equipment for generating post description document. The method comprises the steps: obtaining a job-hunting record of a to-be-configured target post; generating position parameters of the target position according to the employee information, wherein the post parameter comprises a post characteristic value of each preset post dimension; on the basis of the position characteristic values of the position dimensions, determining position keywords of the position dimensions, and obtaining position description language segments associated with the position keywords; and importing the post description language segment into a post document template to generate a post description document of the targetpost. According to the method, the position description document can be automatically generated, the accuracy and the generation efficiency of the position description document are improved, and therecruitment efficiency is further improved.

The invention discloses a recruitment management system and method, and relates to the technical field of recruitment management. The system comprises a resume acquisition module, a resume screening module, a first interview module and a second interview module. The resume acquisition module is used for acquiring resumes of all positions of a company within a preset time. The resume screening module screens the resumes meeting position requirements according to the position requirements and stores the resumes in a resume database. The first interview module matches different network interviewers according to different positions, and the network interviewers match the resumes meeting the requirements of an interview range from the resume database and perform interview. The second interviewmodule is used for carrying out second-round interview on job seekers passing interview of the first interview module, and the interviewers of the second-round interview serve as internal interviewersarranged by the company perform interview. The invention furthermore provides the corresponding management method. The recruitment efficiency is improved.

The invention is suitable for the artificial intelligent technology field and provides a clinical test matching method and device, and terminal equipment. The method comprises the following steps of carrying out natural language processing on patient information and entry row standards, extracting first information from the patient information, and extracting second information from entry row standard information, wherein the first information includes the basic information of a patient and the second information includes entry row standards of different clinical tests; storing the first information and the second information to a cloud server; and through matching the first information and the second information, selecting a clinical test correlation employee matching the patient so thatthe time for browsing a lot of case data is saved and recruitment efficiency is increased. For a doctor and the patient, a new treatment thought is provided and the method is a treatment plan which islikely to benefit the patient; and even if the patient fails to join a clinical test, the patient can be treated through referring to other clinical tests, and high practicality is possessed.

The invention discloses an enterprise Internet-of-Things office all-in-one machine. The machine comprises a communication management module, a natural language interaction module, a checking-in management module, a visitor management module, a display management module, a job application registration management module, an express management module, an anti-theft alarm module and a precise enterprise industry information module. The provided enterprise Internet-of-Things office all-in-one machine is combined with an enterprises cloud server, enterprise electric equipment and anti-theft alarm equipment to form enterprise Internet-of-Things, the electric equipment can be intelligently managed, and the energy waste needing artificial control is eliminated; the all-in-one machine not only improves the checking-in efficiency, reduces the workload of personnel and administration departments, but also can promote product innovation and industrial upgrading, and inhibit excess production capacity; the all-in-one machine achieves paperless office of visitor registration, improves the working benefits of the enterprise, achieves paperless intelligent display of distinguished guest arrival welcoming speeches and enterprise publicity materials, achieves intelligent job application registration management, and achieves express intelligent management of the enterprise.

The embodiment of the invention provides a heuristic dialogue recruitment method. The method comprises: receiving a plurality of posts published by a human resource manager and post requirements corresponding to the plurality of posts; responding to a job information acquisition request initiated by a job seeker, and feeding back a plurality of current recruitment posts to the job seeker; receiving intention posts determined by the job seeker in the plurality of posts, and obtaining personal basic information of the job seeker based on post requirements of the intention posts; and when the personal basic information of the job seeker does not meet the post requirements of the intentional post, performing real-time feedback on the job seeker, and avoiding waiting of the job seeker. The embodiment of the invention further provides a heuristic dialogue recruitment system. According to the embodiment of the invention, enterprise human resource managers are helped to improve recruitment efficiency, the workload is reduced, and the consumption cost is reduced. And through heuristic recommendation, the job seeker knows the matching degree of the job seeker and the position, recommends theposition which is more suitable for the job seeker, and knows the information of the enterprise more conveniently.

The invention provides a recruitment information pushing method and system for improving recruitment efficiency, and relates to the technical field of the Internet. The method comprises the followingsteps: receiving a resume input by a job seeker on a recruitment website, and storing the resume into a database; inputting recruitment requirements by the receiving enterprise to the corresponding recruitment website, and storing the recruitment requirements into the database; analyzing the matching degree of the resume and recruitment requirements, and pushing the resume of the relevant degree of the recruitment information of the enterprise in a preset relevancy range to the enterprise with the recruitment intention; responding to the requirements of the enterprise on the job seeker with the intention, and sending an interview invitation to the corresponding job seeker; responding to selection of the job seeker for the enterprise with the intention, and sending an invitation to the enterprise or refusing the interview invitation. According to the invention, the steps before interview can be reduced, time is saved, the form is very simple, and early-stage work is greatly reduced. Themethod and the system have the advantages that some of the job seeker can be prevented from frequently receiving telephone calls of some recruitment companies, and the time and energy are wasted.

The invention relates to the technical field of human resource intelligent management and provides an AI-based human resource management system. The system is characterized in that the management system adopts an SaaS architecture and mainly comprises a recruitment management module, a performance assessment module and a salary welfare module, and the recruitment management module adopts a relation data department of a star-shaped structure and is used for making and implementing a recruitment plan, managing a talent pool and recording the process and result of selecting interviews by personnel; the performance assessment module comprises work performance assessment and work performance assessment, and a 360-degree assessment method after programmed processing is adopted and can be automatically processed through a computer; the salary and welfare module can realize calculation and payment management of salaries and welfare of various employees; according to the invention, the problemsof redundant personnel recruitment process and low post matching degree in the traditional human resource management system are solved; and an efficient and reasonable performance assessment system and a fair salary and welfare system are lacked.

The invention discloses a method and a system for discriminating, matching and recommending AI intelligent human post information based on a recruitment platform. The method comprises the following steps: obtaining enterprise recruitment information uploaded by a recruitment unit; according to the enterprise recruitment information and pre-stored talent personal information, matching; obtaining telephone number for obtaining the person's personal information matching the results; dialing a telephone according to the telephone number through a telephone module; synthesizing voice information according to enterprise recruitment information and prompt information and playing by telephone; obtaining feedback from the caller; According to the feedback information, generating the feedback resultand uploading to the recruitment platform. Different from the prior art, the technical scheme automatically matches the candidate information through the AI, and can automatically dial a telephone for preliminary information screening, which can greatly save the time of active contact of the recruiting unit and improve the recruitment efficiency.

The invention discloses a B2b2C three-terminal on-line recruitment platform and a recruitment processing method. The recruitment platform comprises an employer client end, which is used for publishingrecruitment requirements to a flash employment server, receiving information of job seekers meeting the recruitment requirements and settling commission; a job application client used for publishingjob application information to the flash employment server and sending job application information to the broker client; a broker client, configured to receive the recruitment request pushed by the flash employment server, search for qualified job applicants, and send the job applicants and the settlement commission to the employer client; the flash employment server is used for recording the recruitment requirement published by the employer client and the job application information published by the job seeker client, pushing the recruitment requirement to the broker client, and settling thecommission to the employer client and the broker client respectively. The invention has the advantages of low recruitment cost, higher recruitment efficiency and shorter recruitment time, and can realize rapid blue collar recruitment.

The invention discloses a subject recruitment method and system. The application system comprises a medical institution informatization system which provides medical record data and performs data connection with a local deployed front-end processor of a medical institution; a front-end processor which is deployed locally in a medical institution, directly docks with a medical institution informatization system and acquires medical record data in real time, and is used for identifying the medical record data through a deployed project demand model to obtain an identification result, including patient basic information of a patient conforming to the test project and a conforming project number, and pushing an identification result to a service background of the recruiter; and a recruiter service background which is used for acquiring an identification result through the front-end processor and carrying out subsequent tracking follow-up visit on the patient conforming to the test projectaccording to the identification result until a final subject is determined. The invention aims to solve the problems that an existing recruitment mode is poor in effect and low in efficiency, rapid landing of a drug test cannot be guaranteed, the listing time of drugs is affected, and even the opportunity for saving patients is missed.

The embodiment of the invention provides an insurance agent selection method and device based on artificial intelligence, computer equipment and a computer readable storage medium. The embodiment of the invention belongs to the technical field of machine learning. The method comprises the steps of obtaining basic information of an insurance agent sent by a terminal as first information data; judging whether the insurance agent meets a preset condition or not according to the first information data; if the insurance agent meets the preset condition, obtaining interview data for interviewing theinsurance agent through a robot based on artificial intelligence as second information data; scoring the insurance agent by means of a preset model based on machine learning according to the first information data and the second information data to obtain a score of the insurance agent; judging whether the score exceeds a preset threshold value or not; if the score exceeds a preset threshold value, judging that the insurance agent passes the selection; and if the score does not exceed the preset threshold, it is judged that selection of the insurance agent is not passed, and the objectivity and accuracy of selection of the insurance agent can be improved.

The invention discloses a talent management system based on big data, and belongs to the technical field of information management. Thetalent management system comprises an internal management module, an external management module, a server, a talent pool, a recruitment module and a storage module;the internal management module is used for managing internal talents of an enterprise; the internal management module comprises a talent authentication unit, a dynamic tracking unit and a talent cultivation unit; the talent pool is used for storing talent information, and the recruitment module is used for recruiting employees by an enterprise, acquiring post information required to be recruited by the enterprise, matching the post information required to be recruited by the enterprise with the talent information in an external talent storage unit, summarizing the talent information meeting requirements, and gathers training trainees with the same weak point together to set up a weak point training class, targeted training is achieved, more exercise opportunities are provided for training staff, the ability of the training staff is enhanced, and the training staff are trained into talents needed by companies.

The invention provides a resume screening method based on big data analysis. The invention discloses a device, computer equipment and a storage medium. According to the embodiment of the invention, the resumes which are in the to-be-interviewed state and complete the interview are displayed in different label pages; and resumes passing interviews, resumes not passing interviews and interview results are displayed in different label pages, so that information of personnel in different interview flows can be conveniently equalized, interview scores and interview results can be checked, the technical problem of low recruitment efficiency in the prior art is solved, and the technical effect of improving the recruitment efficiency is achieved.

The invention discloses a system for producing video resumes. The system comprises an information input module. The information input module comprises a video input module, a text input module and a picture input module and is connected with a system server, an FFmpeg module is connected with the system server, a self-adjusting module is connected with the FFmpeg module, a video player is connected with the self-adjusting module, a preview module is connected with the video player, a generating module is connected with the preview module, and a storage module is connected with the generating module. The system has the advantages that dynamic images or skill performance of users can be synthesized with personal material information and personal photo information, accordingly, novel video can be generated, excellent external demonstration effects can be realized, employing units can quickly and comprehensively understand candidates, and the recruitment efficiency can be effectively improved.