65 results about "Recruitment methods" patented technology

The invention discloses a method and a system for convenient network job hunting and recruitment. The method comprises the following steps that: a client job hunting and recruitment software system is installed in a user computer terminal, and job hunting or recruitment information is filled in and sent to a far end network station information data base server by a release interface of the system; the network station information data base server classifies and stores the job hunting information and recruitment information according to job parameter classification respectively, and by comparing a key word in the job hunting information with a key word in the recruitment information, the job hunting or recruitment information which meets the conditions is sent to the corresponding user computer terminal; and the user can check the information by the user computer and communicate with a suitable object. The method and the system have the advantages that: the user can directly release and search job hunting and recruitment information by the user computer, the job hunting or recruitment task can be finished only by the user computer terminal, and the user does not need to log on a recruitment network for registration, so that the mode is simple, fast and convenient in operation.

The invention discloses a processing method and a processing system for accurately recommending resumes. The method comprises the following steps of: establishing a member resume database and the recruitment information of an enterprise, setting whether vacant position requirements are necessarily met or not, and setting priorities; and sequentially performing accurate matching with key attributes of the job seeker resumes in combination with rules of matching the position requirements with the resumes according to whether the vacant position requirements are necessarily met or not and the priorities, and accurately pushing the job seeker resumes meeting the requirements to a recruitment group according to a matching degree sequence. By the method and the system, the recruitment group can accurately screen corresponding candidates, the recruitment efficiency can be improved, the recruitment cost can be reduced, and simultaneously, the job seeker resumes meeting the requirements may not be omitted.

A computer-based system collects performance information, e.g., grades, submitted by students. The system automatically searches its database to see if the performance information satisfies any sponsorship pledges contained in the database. If so, the system executes the pledge and rewards the student for the good performance. The system can also be used to sponsor education programs, and to find suitable job candidates with the right performance records and credentials.

A heuristically-driven platform and method for hiring based on previously-supported jobs and collected metrics solves the problem of efficiently connecting hiring agents and suitable job candidates. A portal application includes an inventory of successful placements and successful listings, allowing hiring agents to build job searches against a database of historical jobs. Leveraging the portal's inventory of placements and listings, the hiring agent may build a listing and design a candidate search based on previous listings, search venues for the same job type and metrics collected against each. An embodiment may provide the hiring agent a listing of the hiring agent's jobs, a list of applicants for each listed job and the detail for each applicant. The platform monitors applicant flow, online interviews, and site usage analytics for each position, suggesting alternatives and course corrections to the hiring agent if the performance of the job search is sub-par based on benchmarks.

The embodiment of the invention discloses a recruitment method and device based on character analysis, a computer device and a storage medium. The method comprises the following steps: if a user loginoperation instruction is received, behavior data information related to the user is obtained; the user login operation instruction comprises user login information; the behavior data information is analyzed according to a preset analysis prediction model to determine a character characteristic value of a user; a position matching degree corresponding to the preset matching rule is determined according to the preset matching rule and the character characteristic value; If the job matching degree is greater than a preset threshold value, the user login information is identified and added into apre-enrollment database. The invention can quickly and accurately analyze the character of the candidate so as to judge the matching degree of the candidate and the candidate position.

An intelligent recruitment method and system comprises an intelligent recruitment fair cloud server, a hall correction terminal, a plurality of enterprise terminals and a plurality of user terminals,wherein the hall correction terminal, the enterprise terminals and the user terminals are respectively arranged on different intelligent devices, and the hall correction terminal, the enterprise terminals and the user terminals are separately connected with the intelligent recruitment fair cloud server. Through the Internet, Internet of Things technology to achieve online and offline integration,candidates through face recognition, perform scanning code recognition for applicants to sign in, to solve the problem of complex check-in. Applicants apply through the client, and send resumes quickly, enterprise administrators can obtain the data of the students entering the job fair site through the enterprise side in real time, fast acquisition of students' resumes, fast arrangement of interviews, quick matching of talents and real-time interaction between enterprises and applicants solve the problems of low efficiency of job fairs and real-time recommendation of positions in the prior art.

The invention discloses a building service management method, including a construction management method, an attendance checking method, a credit investigation recruitment method, a capital borrowingmethod, an education training method and a professional skill certification method. The building service management method provided by the invention is mainly used for solving the problems of a disadvantaged group, large mobility, low wage, little education training, a high professional risk, a poor sense of belonging and the like with which peasant-workers in the building industry are confrontedat present, and can improve the management levels of a building development side and construction side.

The invention discloses a recommendation type recruitment system and method, and relates to the field of recruitment service. The recruitment system comprises a background server, a recruitment unit,a job hunting unit, an HR evaluation unit, a recommender unit, a prey recommendation unit and a recruitment housekeeper, the background server is connected with the recruitment unit, the job hunting unit, the HR evaluation unit, the recommender unit, the prey recommendation unit and the recruitment housekeeper, and each unit comprises multiple modules. Correspondingly, the recruitment method of the system comprises an HR evaluation recruitment method or a recommender recruitment method or a prey recommendation method or a recruitment steward recruitment method. The system and the method are used for solving the problems of high recruitment cost and low resume information reliability in the prior art, and enable enterprises to well understand capabilities of job seekers in all aspects.

A method and system is provided for recruitment and management of casual personnel via a telecommunications network. One or more casual employees register a job seeker profile including details of the casual employee's availability in a database. A prospective employer nominates search criteria including a date and / or time when the casual employee is required to work for interrogation of the database. A list of casual employees meeting the employer nominated search criteria is generated. The prospective employer selects one or more casual employees form the list and initiates contact with selected casual employees using an instant communication pathway. Methods and systems are also provided for monitoring the time worked by a casual employee for an employer.

The invention relates to the technical field of building industry and discloses a building industry recruitment method and system. The method comprises collecting information of real-name-authenticated workers of every construction site as well as corresponding construction projects to structure a worker resume database; posting new construction project recruitment information; comparing the new construction project recruitment information with the worker information of the worker resume database to acquire matched worker information; pushing the recruitment information of worker clients corresponding to the matched worker information. Further, the building industry recruitment method can promote orderly development of personnel assignment of the building industry.

The invention discloses a mobility prediction-based crowd sensing user recruitment method and system. The method comprises the steps of sending a mobile crowd sensing task, wherein the mobile crowd sensing task comprises a budget, a target location, task starting time and task termination time; obtaining personal expectation values of multiple mobile users, wherein the personal expected values represent the probabilities of reaching the target location on time by the mobile users; according to the personal expectation values and a data uploading mode, determining success probabilities, whereinthe success probabilities represent the probabilities of successfully finishing the mobile crowd sensing task by the mobile users; determining maximum values of the success probabilities; and determining the mobile users corresponding to the maximum values of the success probabilities as recruitment objects. According to the technical scheme, the applicability of a mobile crowd sensing application and a user recruitment module are improved.

The invention discloses an intelligent recruitment method and device based on user answers, equipment and a storage medium. The method comprises the following steps: receiving an answer instruction which is sent by an applicant and comprises an examination number, obtaining a test paper type corresponding to the examination number, calling a preset questionnaire from a database according to the test paper type, and displaying the questionnaire on a client in a preset answer mode for the applicant to answer; receiving a questionnaire submitting instruction containing user answers, and scoring the user answers by using a preset scoring model to obtain single question scores of the test questions; obtaining configuration parameters associated with the test paper type, and obtaining a test paper scoring result of the questionnaire according to the configuration parameters and all the single question scores; and obtaining a recording parameter associated with the test paper type, and determining a recording result of the applicant according to the recording parameter and the test paper scoring result. According to the invention, self-service, paperless, fair and fair interview examination is realized, the recruitment process is simplified, and the manpower input cost is saved.

The invention discloses an online recruitment method and a device, wherein, the method comprises the following steps: obtaining candidate information of an application end, wherein the candidate information comprises resumes information and intention position information of the applicant; Acquiring at least one position information to be recruited at the recruitment end; Searching a first target position in at least one position to be recruited according to the candidate information, wherein the first target position is a position to be recruited matched with the candidate information in at least one position to be recruited; The enterprise evaluation information is indexed in response to an evaluation request triggered by the applicant based on the first target position and sent to the applicant. The scheme disclosed by the invention can provide comprehensive and objective information of the applicant and the recruiter, reduce the employment risk of the enterprise, and improve the jobseeking efficiency of the applicant.

The invention discloses a personnel recruitment system comprising a local server and a cloud server which are connected to each other through a network. Test question database of a plurality of interview videos are stored in advance in the cloud server; and each interview video includes a virtual image of a virtual examiner with a figure image and a question display page for displaying a questiontext asked by the virtual examiner. The local server is connected with a holographic projection device for playing an interview video and a camera for shooting image information and voice informationof an applicant. Besides, a keyword extraction module for extracting a keyword from the voice information is arranged in the local server, a key action extraction module for extracting a key action from the image information, and a storage module connected to the keyword extraction module and the key action extraction module. In addition, the application also provides a personnel recruitment method. Multiple applicants can be interviewed simultaneously, so that the cost of the recruiter is saved.

The invention provides an efficient recruitment method, device and system based on information delivery and electronic equipment, and relates to the technical field of information management, and themethod comprises the steps: obtaining recruitment analysis data of a target enterprise; performing matrix analysis prediction on the recruitment analysis data, and calculating recruitment strategy information matched with the target enterprise; and putting recruitment information on the third-party recruitment channel according to the recruitment strategy information. According to the efficient recruitment method, device and system based on information delivery and the electronic equipment, the learning time of enterprises on various recruitment website platforms is effectively saved, the recruitment cost is reduced, meanwhile, a large amount of manual operation is not needed, and the recruitment process is further shortened.

The invention relates to a routing networking method suitable for centralized collection network (i.e. cluster tree type), which is an effective and low-overhead distributed networking method designed based on a wireless or low-voltage power line carrier centralized network networking. The invention provides a centre-point recruitment method. Another technical scheme of the invention is to provide a cluster-tree type network routing and networking method using the centre-point recruitment method. The invention also provides a method for carrying out device relaying by using a network formed by the networking method. The invention further provides a method for accessing the device into the network formed by the networking method. The invention has the advantages that an effective networking method which needs no predictable device network roles, device Mac address or other information and is capable of supporting automatic relaying is provided for centralized collection network.

The invention provides a job hunting and recruitment method based on a geographic position. The method comprises the following steps of obtaining current position information and job hunting conditioninformation of an applicant; Finding out a corresponding preset geographic area in a preset database according to the current position information; Screening out a plurality of pieces of recruitmentposition information and corresponding recruitment position information in a preset geographic area according to the job hunting condition information; According to the recruitment position information, rendering the recruitment position information on each grid on a preset electronic map; And obtaining mark information, extracting recruitment position information according to the mark information, and sending the recruitment position information to an applicant terminal for display, the mark information being information of grids marked on a preset electronic map by the applicant. According to the job hunting and recruitment method based on the geographic position, an applicant can conveniently and rapidly carry out interview according to recruitment post information, the job hunting efficiency is improved, and satisfactory work can be found more easily.

The invention discloses an intelligent recruitment method based on deep learning. The intelligent recruitment method comprises the steps of training and establishing a first neural network predictionmodel; training and establishing a second neural network prediction model; acquiring recruitment information of the target enterprise, extracting keywords, and inputting a second neural network prediction model; and predicting to obtain an expected occupational score range of the target enterprise; obtaining recruitment information of the target enterprise, searching to obtain a first resume set,extracting keywords of each resume in the initial resume set, inputting the keywords into the first neural network prediction model, predicting to obtain vocational scores of job seekers correspondingto each resume, screening out resumes of which the vocational scores are within an expected vocational score range, obtaining a second resume set, and recommending the second resume set to the targetenterprise. According to the intelligent recruitment method, the recruitment information is matched with the resume by using the deep learning algorithm, so that the recruitment efficiency and accuracy are improved.

The invention relates to a recruitment method, an electronic device and a readable storage medium. The method comprises the following steps of acquiring the face photos of applicants; recognizing theface photos by utilizing a pre-determined recognition model, and obtaining performance levels corresponding to the face photos; and enabling the recruitment personnel to recruit applicants through referring to the obtained performance levels. The pre-determined recognition model is a depth convolution neural network model obtained in advance through training a preset number of face sample images marked with different performance levels. The invention provides a new recruitment reference factor for facilitating the recruitment, so that the recruitment quality is improved.

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 relates to a subject online recruitment method and device, a computer device and a storage medium. The method comprises steps that in response to a registration request corresponding toa to-be-determined subject, the to-be-determined subject is subjected to online image acquisition to obtain the acquired image information of the to-be-determined subject; the identity image information of the to-be-determined subject is acquired; when the captured image information and the identity image information are successfully matched, the attribute information corresponding to the to-be-determined subject is obtained; when the attribute information corresponding to the to-be-determined subject satisfies the preset screening condition, the to-be-determined subject is determined as a target subject. The method is advantaged in that accuracy of the obtained target object can be guaranteed.

The invention relates to a block chain-based recruitment method, a device, a computer device and a storage medium. Judging whether the pass is sufficient; If yes, send the resume to the block chain; Sorting resumes by number of passes; Obtaining resumes that meet the preset criteria; Sending an interview invitation to the applicant corresponding to your resume; Carry on the card reward according to the interview result. The invention associates the job application of the job seeker with the recruitment of the enterprise through the block chain, The block chain distributes passes to job seekers, and job seekers submit resumes and bet passes according to the matching degree between their skills and the recruiting positions. Enterprises can browse resumes from more to less through passes, soas to reduce the time spent by HR in screening invalid resumes, safeguard the privacy of job seekers, and improve the efficiency of recruitment.

The invention relates to an Internet-based network recruitment system. The system comprises an application module, a recruitment module, a screening module, a grading module and a server. The applicant module is used for pushing the job requirements of the applicant to the applicant and delivering a resume; the recruitment module is used for pushing talent information conforming to recruitment posts to recruiters and sending invitations; the screening module is used for setting conditions for applicants and recruiters to screen and filter information, the grading module is used for grading theinformation of the applicants and the recruiters, and the server provides software and hardware services for all modules running on the server. The invention further provides a recruitment method based on the system. The system and method have the advantages that enterprise and individual screening and grading functions can be provided, information is accurate, enterprises and individuals do notneed to spend a large amount of time in trial and error, excellent talents can be accurately recruited, and proper work can be accurately found.

The invention discloses a recruitment method and system for remote self-service evaluation, and belongs to the field of recruitment systems. The recruitment system comprises a recruitment terminal, anapplication terminal, an evaluation terminal and a cloud server, and the recruitment terminal, the application terminal and the evaluation terminal are all connected with the cloud server; the recruiter uploads recruitment information at the recruitment terminal and matches evaluation items of the recruitment information; the cloud server pushes the recruitment information to the application terminal and the evaluation terminal, and forms evaluation test paper according to the evaluation items; the applicant performs self-service evaluation at the evaluation terminal, and obtains evaluation data after the evaluation is completed; the cloud server sends the applicant list to the recruitment terminal for screening, and returns a re-evaluation requirement or an interview invitation to the applicant terminal; and after receiving the interview invitation, the applicant sends personal information of the applicant to the recruiter for final screening, and finally feeds back an application result to the application terminal. The problem that a large amount of manpower of recruiters and time and energy of applicants need to be consumed during evaluation in an existing recruitment mode is solved.

The invention provides a mobile crowd sensing user large-scale rapid recruitment method considering a social network. The method comprises the following steps: constructing a dynamic incentive tree model according to the social network of an actual user; designing a corresponding winner selection and reward distribution method by taking acquisition of a winner user set with high activeness and high quality as a target; and updating the reputation value of each user according to the comparison between the quality of the data reported by each winner user and the quality of the finally actually submitted data, and identifying malicious users based on the reputation value. The method is verified, analyzed and considered through theories and simulations, and enough users can be rapidly recruited to participate in perceptual activities on a large scale by considering the social network. The mobile crowd sensing user recruitment method based on the reverse auction is designed by considering the social network relationship of the users, and the problems that the number of sensing users is insufficient and the quality of sensing data is not high due to the insufficient number of the sensing users are solved.

The invention discloses an artificial intelligence type clinical scientific research service system. The system comprises a doctor circle, a patient circle and a data processing analysis circle; the data processing analysis circle comprises a data storage group, data comprehensive analysis software and an artificial intelligence deep learning engine; the doctor circle and the patient circle uploadrelated information to the data processing analysis circle through APPs, WeChat official accounts, WeChat applets, etc., and the information is stored according to categories; and the data comprehensive analysis software is used for performing analysis, comparison and judgment on information provided by the doctor circle and the patient circle so as to obtain the objects of clinical scientific research recruitment, and rescue service information featuring high matching between doctors and patients. Online and offline contract signing, visits and other recruitment methods are adopted, and therefore, recruitment is high in efficiency and low in cost; the professional software is adopted to perform analyze and process data so as to obtain accurate recruitment objects, and therefore, a recruitment effect is good, a recruitment cycle is short, clinical scientific research and the marketing of new medicines of medicine companies can be benefitted; and doctor resources are rationally used, and therefore, the imbalance between the supply of doctors and the demand of patients can be avoided, and the social problem that people have little access to medical advice consultation and treatmentcan be solved.

The invention relates to an artificial intelligence technology, and discloses an artificial intelligence-based recruitment method, which comprises the steps of screening target user information conforming to recruitment information from a preset user information cluster; extracting a telephone number from the target user information, calling the telephone number, and obtaining user voice data generated in a calling process; recognizing the voice emotion of the user voice data, and calculating the intention degree according to the recognition result; semantic information of the user voice data is extracted, and the matching degree between the semantic information and a standard verbal skill in a preset verbal skill template library is calculated; and calculating scores of the users corresponding to the target user information according to the intention degree and the matching degree, and screening the users whose scores are greater than a preset threshold as recruitment candidates. In addition, the invention also relates to a block chain technology, for example, recruitment information can be stored in nodes of a block chain. The invention further provides an artificial intelligence-based recruitment device, equipment and a storage medium. According to the invention, accuracy of recruitment post matching is improved.

The invention discloses a construction industry credit investigation recruitment method. The method includes receiving labor demand information issued by a recruiter and pushing to an applicant; receiving application demand information sent by the applicant, judging whether the applicant exists in a cooperation database, if yes, pushing the application demand information to the recruiter, and returning feedback information to the applicant; if no, pushing the applicant information to the recruiter for examination and verification, if the applicant information passes examination and verification, sending employment information to the applicant, and establishing a cooperation relationship; and if the applicant information does not pass examination and verification, sending employment rejection information to the applicant. The invention provides a construction industry credit investigation recruitment method which has multiple modes including initiative application of applicants, communication and cooperation of two parties who have established a cooperation relationship and screening and recruitment of recruiters; and the method fully improves the efficiency and success rate of recruitment, reduces worker mobility, improves the sense of belonging of workers, and guarantees the employment rate of workers.

The invention discloses a multi-level migrant worker recruitment method, which comprises the steps that an employment upper level releases recruitment information through a recruitment system; an employment middle level managing multiple lower-level migrant workers below the employment upper level acquires the recruitment information, performs comparison on employment types of the managed migrantworkers and the number of each type of the migrant workers and acquires the difference in the number of each type of the migrant workers; the employment middle level accepts the recruitment information released by the employment upper level through the recruitment system and associates with the employment upper level, and the employment middle level releases recruitment information containing employment types of migrant workers and the number of each type of migrant workers according to the difference in the number of each type of the migrant workers through the recruitment system; and lower-level migrant workers check the recruitment information of the employment middle level and the recruitment information released by the associated employment upper level through the recruitment system and accept the recruitment information of the employment middle level under a circumstance of being appropriate. The method disclosed by the invention realizes recruitment of migrant workers in a multi-level mode, and solves a problem that the employment upper level is inconvenient to perform recruitment and the employment middle level accepts recruitment of the upper level but is shorthanded.