CN111222842A - Medical staff AI intelligence recruitment system - Google Patents
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- CN111222842A CN111222842A CN201911336146.2A CN201911336146A CN111222842A CN 111222842 A CN111222842 A CN 111222842A CN 201911336146 A CN201911336146 A CN 201911336146A CN 111222842 A CN111222842 A CN 111222842A
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- 230000007115 recruitment Effects 0.000 title claims abstract description 43
- 230000011218 segmentation Effects 0.000 claims abstract description 17
- 238000012797 qualification Methods 0.000 claims abstract description 15
- 238000012360 testing method Methods 0.000 claims description 13
- 238000001914 filtration Methods 0.000 description 6
- 230000000474 nursing effect Effects 0.000 description 6
- 230000000399 orthopedic effect Effects 0.000 description 6
- 238000000034 method Methods 0.000 description 4
- 238000012216 screening Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 210000004185 liver Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000000439 tumor marker Substances 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Abstract
The invention provides an AI (intelligent recruitment) system for medical personnel in the personnel field, which comprises the following modules: the searcher setting module is used for setting combination conditions, weight assignment and display sequence rules for searching through the searcher; the account system setting module is used for setting an account system and a qualification authentication rule of the account; the word segmentation matching module is used for performing word segmentation matching based on the historical browsing trace and the search keyword; the professional talent matching module is used for issuing an examination question bank to match with professional talents; the job seeker reverse matching module is used for matching companies and posts based on the browsing records of the job seeker; and the knowledge grade matching module is used for matching the knowledge grade of the job seeker based on the examination question bank. The invention has the advantages that: the recruitment in the specialized field is provided with fine service, and the efficiency and quality of the recruitment are greatly improved.
Description
Technical Field
The invention relates to the field of personnel, in particular to an AI (intelligent recruitment) system for medical personnel.
Background
Due to the explosive increase of the demand of talents in various industries of society, a plurality of internet recruitment platforms appear in recent years. The service features of the internet recruitment platforms are all-industry and information interactive services, and the specific embodiment is that a recruiter screens and searches talents meeting the requirements of the recruiter through the platforms, an applicant searches for works possibly meeting the working capacity description of the recruiter through the platforms, and after a delivery resume and a mail reply of the recruiter are consistent, the recruiter contacts the line.
However, the current internet recruitment platform has the following disadvantages: 1. the coverage industry range is wide, and more refined service can not be performed for specific industries; 2. online more intelligent recommendation and guidance cannot be provided; 3. professional online filtering and screening cannot be provided, so that a lot of invalid information is interacted; 4. and the recruiter cannot be provided with more sound information control authority.
The requirement of the hospital on talent informatization and the demand of talents are also improved year by year, but the current internet recruitment platform has the defects, so that the talent recruitment in the specialized field cannot be met, the recruitment of most hospitals is still operated under the original manual line, and the efficiency and the quality of recruitment are not satisfactory. Therefore, how to provide an intelligent recruitment system for medical personnel AI, which provides a refined service for recruitment in the specialized field, and further improves efficiency and quality of recruitment becomes a problem to be solved urgently.
Disclosure of Invention
The invention aims to provide an AI (intelligent recruitment) system for medical personnel, which can provide refined services for recruitment in the specialized field and further improve the efficiency and quality of recruitment.
The invention is realized by the following steps: an AI intelligent recruitment system for medical personnel comprises the following modules:
the searcher setting module is used for setting combination conditions, weight assignment and display sequence rules for searching through the searcher;
the account system setting module is used for setting an account system and a qualification authentication rule of the account;
the word segmentation matching module is used for performing word segmentation matching based on the historical browsing trace and the search keyword;
the professional talent matching module is used for issuing an examination question bank to match with professional talents;
the job seeker reverse matching module is used for matching companies and posts based on the browsing records of the job seeker;
and the knowledge grade matching module is used for matching the knowledge grade of the job seeker based on the examination question bank.
Further, in the searcher setting module, the combination condition includes at least one condition;
the weight assignment is the weight of each condition, the value is an integer greater than or equal to 1, the default value is 1, and the condition that the value is greater than 1 is a mandatory condition;
the display sequence rule is specifically as follows: intersection result with weight greater than 1 and weight equal to 1 > intersection result with weight greater than 1 > union result with weight equal to 1.
Further, the account system setting module specifically includes:
setting an account system comprising a unit account and an account of a job seeker, wherein a plurality of expert accounts are hung under the unit account; and each expert account needs to upload professional information and qualification accessories for qualification authentication and is used for matching information of job seekers for recommendation display.
Further, the word segmentation matching module specifically includes:
and performing word segmentation and combination based on the historical browsing traces and the search keywords, matching the words with data stored in a database, and performing recommendation display from high to low according to the matching degree.
Further, the professional talent matching module specifically comprises:
the issued test question library is used for checking job seekers, and the job seekers and the recruiters ask questions and answer questions based on the test question library, classify the test questions in the test question library and the content of the question and the answer questions, further match the job seekers and the recruiters, and perform mutual recommendation and display.
Further, the module for reverse matching of job seeker specifically comprises:
and acquiring browsing times and browsing time of the job seeker to each company and each post based on the browsing record of the job seeker, and further matching interested companies and posts to the job seeker.
Further, the knowledge level matching module specifically includes:
based on the examination question bank, the job seeker asks questions of other job seekers by using the account of the job seeker, each expert approves the questions through the expert account, and the higher the approved times is, the higher the corresponding knowledge level is, the higher the recommended priority is.
The invention has the advantages that:
1. by setting the searcher setting module, the account system setting module, the word segmentation matching module, the professional talent matching module, the job seeker reverse matching module and the knowledge grade matching module, the qualification authentication of experts and the capability authentication of job seekers are realized, and then the expert accounts and the job seeker accounts are subjected to classified recommendation display, so that professional online filtering and screening and intelligent recommendation and guidance are realized; the examination question bank is released through the professional talent matching module, so that the job hunters can be screened in a refined mode, more refined services can be made for specific industries, and more sound information control permission is provided for recruiters. The method and the system realize the purpose of providing refined service for the recruitment in the specialized field, and greatly improve the efficiency and quality of the recruitment compared with the traditional offline recruitment.
2. All information and connection which are possibly needed can be automatically acquired by the account number online, so that the operation amount is reduced; the effect of accurate positioning is achieved by analyzing the weight of various data, and the retrieval precision is improved; the credibility and the authenticity of the job seeker can be judged in a more professional way by the interaction of the experts and the job seeker through the examination question bank, so that the specialty is improved; and further solves the problem of low credibility of on-line professional recruitment examination.
Drawings
The invention will be further described with reference to the following examples with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of an AI intelligent recruitment system for medical personnel according to the invention.
Fig. 2 is a schematic diagram of the recruitment procedure of the present invention.
FIG. 3 is a schematic illustration of the present invention.
Detailed Description
The technical scheme in the embodiment of the application has the following general idea: by setting the searcher setting module, the account system setting module, the word segmentation matching module, the professional talent matching module, the job seeker reverse matching module and the knowledge grade matching module, the intelligent filtering analysis and recommendation of data of job seekers and recruiters are realized, and then both parties can obtain required information and communicate in the easiest way.
Referring to fig. 1 to 3, a preferred embodiment of the intelligent recruitment system for medical personnel AI according to the present invention comprises the following modules:
the searcher setting module is used for setting combination conditions, weight assignment and display sequence rules for searching through the searcher; the reserved binding of the searcher and the account can be permanently stored and updated at any time;
the account system setting module is used for setting an account system and a qualification authentication rule of the account;
the word segmentation matching module is used for performing word segmentation matching based on the historical browsing trace and the search keyword;
the professional talent matching module is used for issuing an examination question bank to match with professional talents;
the job seeker reverse matching module is used for matching companies and posts based on the browsing records of the job seeker;
and the knowledge grade matching module is used for matching the knowledge grade of the job seeker based on the examination question bank.
In the searcher setting module, the combination condition comprises at least one condition, and the logged unit account or job seeker account can be combined by customizing a special searcher condition;
the weight assignment is the weight of each condition, the value is an integer greater than or equal to 1, the default value is 1, and the condition that the value is greater than 1 is a mandatory condition;
the display sequence rule is specifically as follows: intersection result with weight greater than 1 and weight equal to 1 > intersection result with weight greater than 1 > union result with weight equal to 1.
For example, the account number of a job seeker is Zhang III, the orthopedics department professions, and the content of a searcher is defined as follows according to the job-seeking requirement after the searcher is online: workplace-fuzhou, weight 3, discipline specialty-orthopedics, weight 2, medical institution level-three, weight 1, unit property-public hospital, weight 1, salary treatment-10000, weight 3. Sorting according to the weight, namely displaying the search information according to the sequence of a work place, Fuzhou salary treatment, 10000 subject specialty, orthopedics department grade, third department property and official hospital. A weight level greater than 1 is a mandatory condition, i.e., the valid recruitment information must be satisfied: the work place is Fuzhou, the salary treatment is more than or equal to 10000, and the subject specialty is orthopedics. The condition information with the weight of 1 is additionally loaded when there is no result with the weight of more than 1. The default of other provided information adopts an alternative retrieval mode, namely clicking to view more buttons, and searching results meeting the conditions that the weight of the searcher is changed from large to small and meets any conditions can be looked up. Namely, the recruitment information work place is result information of Fuzhou or salary treatment more than or equal to 10000 or professional orthopedics.
The account system setting module specifically comprises:
setting an account system comprising a unit account and an account of a job seeker, wherein a plurality of expert accounts are hung under the unit account; each expert account needs to upload professional information and qualification accessories for qualification certification and is used for matching information of job seekers for recommendation display, for example, information of job seekers with higher matching degree with professional subjects such as subject specialties, qualification papers and the like is recommended for display; the examined expert account can be used for talent investigation and talent retrieval in hospitals or departments.
For example, a hospital provides related certificates and unit institution codes through qualification registration, and then the certificates and the unit institution codes are created after verification, and three expert accounts including a blood department main task, an orthopedics department main task and a gynecology department main task are set below. The three account numbers pass system authority examination and verification by providing corresponding occupational information and qualification accessories, and the account numbers dynamically obtain related job hunting information recommendation, namely subjects are professional job hunter information of hematology, orthopedics and gynecology.
The word segmentation matching module specifically comprises:
and performing word segmentation and combination based on the historical browsing traces and the search keywords, matching the words with data stored in a database, and performing recommendation display from high to low according to the matching degree.
Such as job seeker account number three, searched for care, pediatrics, and fuzhou. The three participles serving as the search keywords are taken to match with the attribute items of positions one by one, for example, if fuzhou can be matched in a work address to obtain data, a filtering condition is added, the work place is fuzhou, pediatrics can be matched with a relevant dictionary in the professional subject attribute, a conditional subject specialty is added to pediatrics, nursing can be matched in the position name and the professional subject, and is respectively postpartum nursing, child nursing and medical nursing specialties, the system improves the query filtering priority according to the matching degree, for example, child nursing meets the two participles of pediatrics and nursing, the natural priority is higher, and the priority is relatively lower compared with the rest fuzhou condition. Finally, the results are shown as follows: discipline specialty for child care > job site is the relevant recruitment information in fuzhou.
The professional talent matching module specifically comprises:
the issued test question library is used for checking job seekers, and the job seekers and the recruiters ask questions and answer questions based on the test question library, classify the test questions in the test question library and the content of the question and the answer questions, further match the job seekers and the recruiters, and perform mutual recommendation and display.
For example, the subordinate account of the Fujian oncology hospital builds an oncology department main task of the oncology hospital, issues a test question library, the type of the question is classified into an oncology special question, a candidate learns the relevant question for three times, the system performs matching value self-increasing operation on the professional direction to which the question belongs and three accounts every time of learning, if three questions are inquired and the subject of 'brief description of characteristics of tumor marker' is achieved, the system defaults to record that the matching degree of three questions and the oncology special direction is increased by 1, and records that the association degree of three questions and the oncology department main account of the Fujian oncology hospital is increased by 1. And when the matching degree or the association degree exceeds a set threshold value, the recruitment information of the job seeker or the recruitment unit is transferred to the intelligent recommendation plate of the user account.
The job seeker reverse matching module specifically comprises:
and acquiring browsing times and browsing time of the job seeker to each company and each post based on the browsing record of the job seeker, and further matching interested companies and posts to the job seeker.
For example, the third job applicant account is known from browsing records, the browsing time of the third job applicant accounts in the mengtong hepatobiliary hospital in fozhou is accumulated to be 4 hours, the number of times of the job positions of the operator of the radiological department facility in fozhou is inquired to be 13 times, the comprehensive rank is ranked as the first, according to the set weight rule (the rule refers to the relevant weight proportion of the different attributes in the job position, the unit is assumed to be 3, and the job position is 5), the final scoring weight of the operator of the radiological department facility in the mengtong hepatobiliary hospital in fozhou is 13 x 5+245 x 3 ═ 800 (other combinations are calculated as above), and finally, the result set is displayed in a positive order according to the scoring weight.
| Attribute (weight) | Content providing method and apparatus | Number of times/time |
| Unit name (3) | Liver and gall hospital for Mengdao in Fuzhou province | 245 min |
| Unit name (3) | Fujian provincial hospital | 50 minutes |
| Unit name (3) | Xiamen medical university subsidiary first hospital | 105 minutes |
| Unit name (3) | Fujian tumor hospital | 35 minutes |
| Post name (5) | Radiology equipment operator | 13 times (twice) |
| Post name (5) | Radiology department staff | 5 times (twice) |
The knowledge level matching module specifically comprises:
based on the examination question library, the job seeker asks questions of other job seekers by using the account of the job seeker, each expert approves or scores the questions through the expert account, and the higher the approved times or the higher the score is, the higher the corresponding knowledge level is, the higher the recommended display priority is.
For example, when the job-seeking account number three answers the question A, B of the questioner about the field a and the question C of the field b, the satisfaction scores of the questioner are obtained respectively and are marked as weight 1, when the expert account number browses the relevant plates, the questioning and the answer can be seen, the answers of A, B two questions are praised, and if the expert rating weight is 2, then three will obtain 6 scores of 1+ 2+ 1+ 2 in the field a, the scores of other users are calculated in the same way, and finally the gradient ranking is carried out according to the field professional knowledge accumulated scores of the users. And when the expert in the field A logs in, the account information of the job seeker with the highest recommendation score is defaulted.
In summary, the invention has the advantages that:
1. by setting the searcher setting module, the account system setting module, the word segmentation matching module, the professional talent matching module, the job seeker reverse matching module and the knowledge grade matching module, the qualification authentication of experts and the capability authentication of job seekers are realized, and then the expert accounts and the job seeker accounts are subjected to classified recommendation display, so that professional online filtering and screening and intelligent recommendation and guidance are realized; the examination question bank is released through the professional talent matching module, so that the job hunters can be screened in a refined mode, more refined services can be made for specific industries, and more sound information control permission is provided for recruiters. The method and the system realize the purpose of providing refined service for the recruitment in the specialized field, and greatly improve the efficiency and quality of the recruitment compared with the traditional offline recruitment.
2. All information and connection which are possibly needed can be automatically acquired by the account number online, so that the operation amount is reduced; the effect of accurate positioning is achieved by analyzing the weight of various data, and the retrieval precision is improved; the credibility and the authenticity of the job seeker can be judged in a more professional way by the interaction of the experts and the job seeker through the examination question bank, so that the specialty is improved; and further solves the problem of low credibility of on-line professional recruitment examination.
Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.
Claims (7)
1. An intelligent recruitment system for medical personnel AI, which is characterized in that: the system comprises the following modules:
the searcher setting module is used for setting combination conditions, weight assignment and display sequence rules for searching through the searcher;
the account system setting module is used for setting an account system and a qualification authentication rule of the account;
the word segmentation matching module is used for performing word segmentation matching based on the historical browsing trace and the search keyword;
the professional talent matching module is used for issuing an examination question bank to match with professional talents;
the job seeker reverse matching module is used for matching companies and posts based on the browsing records of the job seeker;
and the knowledge grade matching module is used for matching the knowledge grade of the job seeker based on the examination question bank.
2. The intelligent recruitment system for medical personnel AI of claim 1, wherein: in the searcher setting module, the combination condition comprises at least one condition;
the weight assignment is the weight of each condition, the value is an integer greater than or equal to 1, the default value is 1, and the condition that the value is greater than 1 is a mandatory condition;
the display sequence rule is specifically as follows: intersection result with weight greater than 1 and weight equal to 1 > intersection result with weight greater than 1 > union result with weight equal to 1.
3. The intelligent recruitment system for medical personnel AI of claim 1, wherein: the account system setting module specifically comprises:
setting an account system comprising a unit account and an account of a job seeker, wherein a plurality of expert accounts are hung under the unit account; and each expert account needs to upload professional information and qualification accessories for qualification authentication and is used for matching information of job seekers for recommendation display.
4. The intelligent recruitment system for medical personnel AI of claim 1, wherein: the word segmentation matching module specifically comprises:
and performing word segmentation and combination based on the historical browsing traces and the search keywords, matching the words with data stored in a database, and performing recommendation display from high to low according to the matching degree.
5. The intelligent recruitment system for medical personnel AI of claim 1, wherein: the professional talent matching module specifically comprises:
the issued test question library is used for checking job seekers, and the job seekers and the recruiters ask questions and answer questions based on the test question library, classify the test questions in the test question library and the content of the question and the answer questions, further match the job seekers and the recruiters, and perform mutual recommendation and display.
6. The intelligent recruitment system for medical personnel AI of claim 1, wherein: the job seeker reverse matching module specifically comprises:
and acquiring browsing times and browsing time of the job seeker to each company and each post based on the browsing record of the job seeker, and further matching interested companies and posts to the job seeker.
7. The intelligent recruitment system for medical personnel AI of claim 3, wherein: the knowledge level matching module specifically comprises:
based on the examination question bank, the job seeker asks questions of other job seekers by using the account of the job seeker, each expert approves the questions through the expert account, and the higher the approved times is, the higher the corresponding knowledge level is, the higher the recommended priority is.
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| CN109885761A (en) * | 2019-01-24 | 2019-06-14 | 暨南大学 | A kind of position of human resources enterprise and talent's matching and recommended method |
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2019
- 2019-12-23 CN CN201911336146.2A patent/CN111222842A/en active Pending
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| JP2006059195A (en) * | 2004-08-20 | 2006-03-02 | Nissei Ims Kk | Job seeker/job offerer matching system and job seeker/job offerer matching method |
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| CN103366226A (en) * | 2013-08-05 | 2013-10-23 | 苏州鼎富软件科技有限公司 | Talent recruitment docking system |
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