CN103294816A - Method and system for recommending positions for job seeker - Google Patents
Method and system for recommending positions for job seeker Download PDFInfo
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Abstract
The invention discloses a method and system for recommending positions for a job seeker. The method includes the steps that resume information of the job seeker is obtained and includes job hunting requirements; according to the resume information of the job seeker, based on correlative indicators of positions corresponding to the job hunting requirements, and corresponding testing questions are taken from a test database to generate a test paper before job hunting; the test paper is displayed for the job seeker, and answer results of the test paper by the job seeker is received; according to testing standards in a station competency level model, the answer results of the test paper by the job seeker is combined to evaluate position competence of the job seeker for the job hunting requirements; position information matched with the position competence is taken from a position database to generate a position recommending scheme, and the position recommending scheme is recommended to the job seeker.
Description
Technical Field
The invention relates to the technical field of computer application, in particular to a method and a system for recommending positions for job seekers.
Background
With the rapid development of computer network technology, more and more job seekers and recruiters begin to use the internet, and online recruitment and online job hunting can realize talent exchange in the current society to a great extent. The talent recruitment website as a third party provides such a platform for job seekers and recruiters. Generally, a talent recruitment website has a large number of positions, and when a job seeker accesses the website, the job seeker can only browse the positions from a position list, or the job seeker can input position keywords or words to search positions which are possibly needed by the job seeker. When the recruitment website provides job hunting query, the result is output basically according to job keywords input by job seekers, and the fed-back job seekers are not distinguished from any job seekers and lack effective and targeted recommendation, so that the job seekers are lost before massive job hunting data, and cannot find suitable jobs; in addition, the recruiter can not recruit the right talents, and the recruiter can hardly actually recruit the talents meeting the needs of the specific post through the talent recruiting website. Therefore, there is a need to provide a new method for recommending job positions for job seekers to solve the above problems.
Disclosure of Invention
The embodiment of the invention provides a method and a system for recommending positions for job seekers, which are used for recommending individualized positions meeting the needs of the job seekers and providing talents possibly meeting the needs of job positions for recruiters.
In order to solve the above technical problems, embodiments of the present invention provide the following technical solutions:
in a first aspect, an embodiment of the present invention provides a method for recommending positions for job seekers, including:
acquiring resume information of job seekers, wherein the resume information comprises job-seeking requirements of the job seekers;
calling corresponding test questions from a test database based on indexes associated with positions corresponding to the job-seeking requirements according to resume information of the job seeker, and generating a test paper before job hunting;
presenting the test paper to the job seeker, and receiving a response result of the job seeker to the test paper;
according to the test standard in the post competence model, evaluating the post competence of the job seeker for the job hunting requirements by combining the response result of the job seeker to the test paper;
and calling the position information matched with the position competence from a position database, generating a position recommendation scheme, and providing the position recommendation scheme for the job seeker.
In a second aspect, an embodiment of the present invention further provides a position recommendation system, including:
the job seeker management module is used for acquiring resume information of job seekers, and the resume information comprises job hunting requirements of the job seekers;
the test question management module is used for calling corresponding test questions from a test database according to the resume information of the job seeker and indexes associated with positions corresponding to the job-seeking requirements and generating a test paper before job-seeking;
the test result management module is used for presenting the test paper to the job seeker and receiving the reply result of the job seeker to the test paper;
the ability evaluation module is used for evaluating the post competence of the job seeker for the job hunting requirements in combination with the reply results of the job seeker to the test paper according to the test standards in the post competence model;
and the recommendation management module is used for calling the position information matched with the position competence from the position database, generating a position recommendation scheme and providing the position recommendation scheme for the job seeker.
According to the technical scheme, the embodiment of the invention has the following advantages:
in the embodiment of the invention, according to the job-searching requirement of a job seeker, indexes associated with a job corresponding to the job-searching requirement are searched, so that corresponding test questions are called from a test database according to the searched indexes to form a test paper before job-searching, then the test paper is presented to the job seeker, the response result of the job seeker to the test paper is received, then the job-searching capability of the job seeker aiming at the job-searching requirement is evaluated according to various test standards in a job-searching capability model and the response result of the job seeker, finally, job information matched with the job-searching capability is called from the job database to form a job recommendation scheme, and then the job information is fed back to the job seeker. The test paper formed by the test questions can reflect corresponding indexes needed by different positions, the position competence of the job seeker is evaluated according to the degree of the indexes possessed by the job seeker, the position recommended to the job seeker is the position matched with the position competence of the job seeker, and therefore the personalized position meeting the needs of the job seeker can be recommended for the job seeker, and talents possibly meeting the needs of job recruitment are provided for the recruiter.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings.
Fig. 1 is a schematic flowchart illustrating a method for recommending positions for job seekers according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a job recommendation process of a job recommendation system according to an embodiment of the present invention;
fig. 3 is a frame diagram of a position recommendation system according to an embodiment of the present invention;
fig. 4 is a schematic diagram of system components of a position recommendation system according to an embodiment of the present invention.
FIG. 5 is a schematic diagram of an analysis process of a position competency model according to an embodiment of the present invention;
fig. 6-a is a schematic structural diagram illustrating a component of a position recommendation system according to an embodiment of the present invention;
fig. 6-b is a schematic structural diagram of another position recommendation system according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method and a system for recommending positions for job seekers, which are used for recommending individualized positions meeting the needs of the job seekers and providing talents possibly meeting the needs of job positions for recruiters.
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments that can be derived by one skilled in the art from the embodiments given herein are intended to be within the scope of the invention.
The terms "comprises" and "comprising," and any variations thereof, in the description and claims of this invention and the above-described drawings are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of elements is not necessarily limited to those elements, but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The following are detailed below.
The embodiment of the invention provides a method for recommending positions for job seekers, which can be applied to a position recommendation system and comprises the following steps: acquiring resume information of job seekers, wherein the resume information comprises job-seeking requirements of the job seekers; calling corresponding test questions from a test database according to the resume information of the job seeker and indexes associated with positions corresponding to the job-seeking requirements, and generating a test paper before job hunting; presenting the test paper to the job seeker, and receiving the response result of the job seeker to the test paper; according to the test standard in the post competence model, testing the post competence of the job seeker for the job hunting requirements by combining the response result of the job seeker to the test paper; and calling the position information matched with the position competence from the position database, generating a position recommendation scheme, and providing the position recommendation scheme for the job seeker.
Referring to fig. 1, a method for recommending positions for job seekers according to an embodiment of the present invention may include:
101. resume information of job seekers is obtained.
Wherein, the resume information comprises the job-seeking requirements of the job seeker.
In the embodiment of the invention, after a job seeker logs in a job recommendation system, the job seeker can input resume information of the job seeker, the job recommendation system can acquire the resume information input by the job seeker and can determine job hunting requirements of the job seeker, the job hunting requirements of the job seeker can be set by the job seeker according to the preference degree of the job seeker to a post, for example, female job seekers can input job hunting requirements of clerks according to the characteristic of quiet preference of the female job seeker. In addition, the job-seeking requirements of the job seeker in the embodiment of the invention can include various requirements of the job seeker during job hunting, such as salary, work environment, welfare treatment and the like besides posts.
In some embodiments of the present invention, the resume information input by the job seeker in the job recommendation system may further include one or more of the following, for example, the above-mentioned information on the practitioner's experience, the above-mentioned hobbies on the interest of the job seeker, the above-mentioned educational experience of the job seeker, and the like. Of course, the resume information input by the job seeker may also be other information that needs to be input by the user in the network job hunting, such as the age, sex, height, character, etc. of the job seeker, which is only described here.
In some embodiments of the present invention, before the step 101 of obtaining resume information of the job seeker, the following steps may be further included: the job recommendation system receives registration login of a job seeker. The job applicant can use the registration ID to log in the job applicant every time, and after the job applicant logs in, if the job applicant has already performed evaluation on job competence, the job applicant directly feeds back historical job application records without performing evaluation every time, so that the flow of job application is simplified, and the efficiency of job information recommendation to the job applicant is improved.
102. And calling corresponding test questions from a test database according to the resume information of the job seeker and indexes associated with positions corresponding to the job-seeking requirements, and generating a test paper before job hunting.
In the embodiment of the invention, after acquiring resume information of a job seeker, the job recommendation system analyzes job hunting requirements of the job seeker, extracts indexes associated with a job corresponding to the job hunting requirements, and calls test questions corresponding to the indexes from a test database. It should be noted that, the index of the job seeker to be tested is extracted according to the resume information of the job seeker, and the index is the embodiment of the quality of each job, which is measured by the job recommendation system in the aspects of knowledge, ability, technology, psychology and the like of talents required by each job. The test database contains a large number of test questions corresponding to indexes to be evaluated, and the test questions in the test database are multi-dimensional test questions with different contents, which are made based on a human job matching theory and combined with post analysis.
In the embodiment of the invention, the extracted indexes to be tested are different according to different resume information of job seekers, wherein the extracted indexes are provided according to job-seeking requirements of the job seekers, test questions corresponding to the indexes to be tested are provided from a large number of test questions in a test database, and the extracted test questions are combined into a test paper before job hunting. The test database stores the positions, the capacity required by each position, the index required by each capacity, the test question corresponding to each index and the incidence relation between the positions corresponding to each index. The invention has the advantages that the indexes required to be tested by different job seekers are different, the extracted test questions are different, the individualized test paper can be generated for specific job seekers, so that the responses of the job seekers to the test paper can truly reflect the post competence of the job seekers, the psychological quality and the competence degree of the job seekers can be truly known by the job-seeker recommendation system through the responses of the job seekers to the test paper, and the pertinence of the job-seeker recommendation system for recommending the job seekers is improved.
In some embodiments of the present invention, before retrieving the corresponding test question from the test database, the method may further include: summarizing indexes required by each position in the position database; respectively making test questions with different contents and multiple dimensions according to a human job matching theory and analysis of posts; and establishing a corresponding relation between the indexes to be tested and each test question to generate the test database.
That is, before step 102, the method of the embodiment of the present invention may further include a process of generating a test database by the position recommendation system according to the human position matching theory. The theory of human job matching is about the consistency of personal characteristics and occupational properties of a human. The basic idea is that individual differences are ubiquitous, each individual has its own individual characteristics, and each profession has different requirements for the ability, knowledge, skills, characters, temperament, psychological diathesis, etc. of workers due to different working properties, environments, conditions, and modes. When making career decisions (such as selecting, placing and career guiding), the corresponding career category is selected according to the personal characteristics of a person, namely, the person is matched for one time.
103. And presenting the test paper to the job seeker, and receiving the response result of the job seeker to the test paper.
In the embodiment of the invention, after the job recommendation system generates the test paper before job hunting, the job recommendation system presents the test paper to the job hunter, the job hunter answers the test questions in the test paper, and the job recommendation system receives the answer result input by the job hunter.
It should be noted that, in the embodiment of the present invention, due to differences in personal knowledge, capability, interest, technology, and the like of each job seeker, the response result of each job seeker to the test paper may also be completely different, and the test questions in the test paper are only suitable for testing the actual condition of the job seeker, and the test questions may not have completely standard answers.
104. And according to the test standard in the post competence model, and combining the response result of the job seeker to the test paper to test the post competence of the job seeker for the job hunting requirements.
In the embodiment of the invention, after receiving the response result of the job seeker to the test paper, the job recommendation system inputs the response result of the job seeker into the post competence model, different sub-indexes are respectively set in the post competence model for the indexes to be tested, the response made by the job seeker is evaluated according to the test questions in the test paper corresponding to the sub-indexes, and the post competence of the job seeker is output from the post competence model. For example, the test criteria in the job competency model may be specifically scoring criteria, the response result of the job seeker to each test question is quantitatively scored, and the job recommendation system outputs a score to the job seeker to embody the job competency of the job seeker. For another example, the test criteria in the job competency model may be specifically grade criteria, the answer results of the job seeker to each test question are graded, and the job recommendation system outputs a grade to the job seeker to embody the job competency of the job seeker.
In some embodiments of the present invention, after evaluating the post competency of the job seeker for the job-searching requirement, the method may further include the following steps: and generating a personal job hunting capacity test report according to the job hunting capacity of the job hunter aiming at the job hunting requirement. The personal job hunting ability test report comprises the response condition of the job seeker in each test question of the test paper and the post competence evaluated by the job recommendation system for the job seeker. The job position recommendation system can also feed back the personal job hunting capability test report to the job seeker, the job seeker can accurately know the position suitable for the job seeker through the personal job hunting capability test report, and the advantages of the job seeker in the aspects of knowledge, technology and the like are in which position and in which position, the job seeker can pertinently charge the job seeker, and therefore the foundation is laid for successful application.
The post competency model is a sum of competency features required to perform a particular task role on a post. It can be seen that competency models for different cultural environments, different industries, and different positions are different. In the embodiment of the present invention, particularly for 14 work sequences (administration, sales, market, financial accounting, human resources, legal matters, supply chain management, research and development, management information, quality control, production, engineering, technology, and management (talent)) corresponding to three professional groups (an expert graduate, a professional, and a manager) respectively, event interview methods, expert group methods, questionnaire survey methods, comprehensive evaluation methods, expert system databases, observation methods, and the like are adopted to obtain relevant competence characteristic data of the significance sample, and the result is refined and verified to guide results, so as to screen out index requirements of different groups corresponding to different work sequences, for example, as shown in table 1 below, a general competence model of an expert graduate corresponding to an engineering sequence:
table 1 shows the general competence model for the corresponding engineering sequence for the corresponding graduate
On the basis of the general competence models, the embodiment of the invention can continuously adjust the settings of the questions in the aspects of content and quantity by adjusting the evaluation mode according to the collected evaluation data of the job seeker and the matching success rate of the job seeker and the recommended position by a regression method or other related verification methods so as to improve the reliability and the effectiveness of evaluation, and further adjust the index weight and the index standard score conversion rule by data analysis, even adjust each index of the competence models so as to enable the post competence models to be more perfect. The frequency of the adjustment operation reaches a specific number according to the collected evaluation number of different classified crowds to serve as a time reference point.
105. And calling the position information matched with the position competence from the position database, generating a position recommendation scheme, and providing the position recommendation scheme for the job seeker.
In the embodiment of the invention, after the post competence of the job seeker is evaluated through the post competence model, the post competence of the job seeker is recommended and analyzed, and the post information in the job database is analyzed to be more suitable for the job seeker, so that the post information matched with the post competence of the job seeker is fed back to the job seeker, and the post information recommended to the job seeker forms a post recommendation scheme and is provided for the job seeker.
In some embodiments of the present invention, after the step 105 of providing the job recommendation to the job seeker, the method further includes: and receiving the evaluation of the job seeker and the feedback of the application effect, and dynamically maintaining the post competence model. Through the feedback of the job seeker to the job recommendation, the job recommendation system can dynamically adjust the post competency model, so that the post competency measured and evaluated through the post competency model can better meet the actual competency condition of the job seeker.
A plurality of test question banks are established based on a human job matching theory through a dynamic post competency degree model scoring system, multi-dimensional test questions with different contents are formulated respectively by combining post analysis, a job seeker shows the actual ability of the job seeker by answering the test questions, and a post recommendation system automatically makes dynamic scoring according to the contents answered by the tester to give the job seeker a comprehensive scoring of post competency degree. The method comprises the steps of randomly determining different evaluation questions according to different evaluation objects, automatically selecting questions and adjusting evaluation sections, automatically determining corresponding evaluation standards of the different objects, feeding back evaluation and application effects of testees, and dynamically adjusting a post competence degree model, so that the reliability of the whole evaluation result is improved.
In some embodiments of the present invention, before acquiring resume information of the job seeker, the method may further include: receiving registration login of a job seeker; after the job seeker logs in, if the job seeker evaluates the post competence of the job seeker before logging in, feeding back a historical job recommendation record to the job seeker; after the job seeker logs in, if the job seeker evaluates the post competence of the job seeker before logging in, and the job database is updated, job information matched with the post competence is called from the updated job database, a new job recommendation scheme is generated, and the new job recommendation scheme is provided for the job seeker. When the position recommendation system acquires that the recruiter updates the position needing to be recruited in the position database or a new recruiter releases new position information in the position database, the position recommendation system does not need to evaluate the position competence of the job seeker, directly carries out position matching again according to the evaluated position competence, and regenerates a position recommendation scheme for the job seeker so as to avoid repeated evaluation and improve the efficiency of acquiring position recommendation by the job seeker.
In some embodiments of the present invention, the retrieving of the position information adapted to the position competency from the position database may specifically include: similarity calculation is carried out on the post competency and the competence required by each post in the post database; and searching the near-far neighbor users from the human-position incidence matrix according to the matching result of similarity calculation, and sequentially returning a plurality of position information from the nearest neighbor users.
After evaluating post competence of job seeker, the job recommendation system calculates similarity of each required job capacity in job database, searches matching result of similarity calculation from 'person-job correlation matrix', and returns multiple job information in sequence according to nearest neighbor users. The embodiment of the invention can adopt a collaborative filtering recommendation technology based on user clustering and project clustering, and the technology constructs different categories of job seekers and positions into a 'person-position' matrix on the basis of job hunting clustering and position clustering, calculates and searches nearest neighbor users in the 'person-position matrix' of each job seeker, and generates recommended position information according to the capacity. Because the collaborative filtering is a 'person-position' matrix established on the basis of job seeker clustering and position clustering, and the job seekers and positions are concentrated, the matrix dimension is less, the sparsity problem caused by the traditional collaborative filtering technology is greatly reduced, the search strength of the job seekers for searching nearest neighbors is reduced, the real-time performance of a recommendation algorithm is enhanced, and the quality of recommendation service is improved.
In some embodiments of the present invention, after the position information adapted to the position competency is retrieved from the position database and the position recommendation scheme is generated, the following steps may be further included: generating a recommendation analysis report aiming at the position information recommended by the job seeker; and providing the recommendation analysis report and the personal job hunting capability test report to the job hunter. That is, the job recommendation system may further feed back a recommendation analysis report when feeding back the job recommendation scheme to the job seeker, indicate reasons for recommending each job to the job seeker in the recommendation analysis report, and analyze what advantages the job seeker has can be qualified for each job.
In some embodiments of the present invention, providing the job recommendation scheme to the job seeker may include: providing the job recommendation to the candidate by at least one of: pushing in a webpage feedback result mode, or pushing in a mobile communication mode, or pushing in an email subscription mode, or pushing in an instant communication mode. That is to say, the job recommendation scheme fed back to the job seeker by the job recommendation system can recommend job information to the job seeker in various feedback modes by means of the existing network information transmission mode, and the application efficiency of the job seeker is improved.
In the embodiment of the invention, according to the job-searching requirement of a job seeker, indexes associated with a job corresponding to the job-searching requirement are searched, so that corresponding test questions are called from a test database according to the searched indexes to form a test paper before job-searching, then the test paper is presented to the job seeker, the response result of the job seeker to the test paper is received, then the job-searching capability of the job seeker aiming at the job-searching requirement is evaluated according to various test standards in a job-searching capability model and the response result of the job seeker, finally, job information matched with the job-searching capability is called from the job database to form a job recommendation scheme, and then the job information is fed back to the job seeker. The test paper formed by the test questions can reflect corresponding indexes needed by different positions, the position competence of the job seeker is evaluated according to the degree of the indexes possessed by the job seeker, the position recommended to the job seeker is the position matched with the position competence of the job seeker, and therefore the personalized position meeting the needs of the job seeker can be recommended for the job seeker, and talents possibly meeting the needs of job recruitment are provided for the recruiter.
In order to better understand and implement the above-mentioned schemes of the embodiments of the present invention, the following description specifically illustrates corresponding application scenarios.
Referring to fig. 2, a schematic diagram of a job recommendation process of the job recommendation system according to an embodiment of the present invention is provided, in which the embodiment of the present invention collects job-searching requirements and job experience information that are interested by job seekers, and actively makes personalized recommendations for job seekers according to interest preferences and abilities of the job seekers. After the job seeker completes evaluation, after a user name and a password are input each time to log in the system, the job recommendation system can automatically recommend a plurality of favorite job information to the job seeker according to the preference degree of the job seeker, the recommendation is updated in real time, namely, when a job database and user interest data in the system are changed, the recommendation sequence can be automatically changed, the user can be helped to make a decision on which job to hire correspondingly, and the job hunting efficiency of the job seeker is improved. The method specifically comprises the following steps:
(1) and the user (namely, the job seeker) registers the account of the job recommendation system and logs in.
(2) And submitting resume information of the user for job inquiry or evaluation. The resume information is stored in the resume database, and the position information in the resume can be stored in the position database after being compared with the position database. And the keywords of the job position query enter a recruitment information base for retrieval.
(3) When the user carries out evaluation, the position recommendation system calls corresponding test questions from the test database according to personal conditions of the user or keywords of position inquiry and indexes related to positions, and generates a test paper before job hunting.
(4) And the user answers the test paper and submits a reply result, the position recommendation system calls related scoring indexes and the like from the analysis database to perform position competence degree model analysis, and the position competence of the user is evaluated by combining the analysis report library and is given in a test scoring mode.
(5) After the test scoring, the position recommendation system carries out similarity calculation and carries out recommendation analysis by combining the index data of the index database and the human-position association database.
(6) After recommendation analysis, the position recommendation system returns a position recommendation scheme to the user, and the user gives decision and evaluation feedback after seeing a recommendation result and can check the recommended position information.
It should be noted that, after the user registers and logs in, the job recommendation of the historical query can be directly checked without repeated input.
Fig. 3 is a block diagram of a job recommendation system according to an embodiment of the present invention. The position recommendation system comprises a database, a data preprocessing subsystem, a data mining subsystem and an individualized recommendation subsystem. When a user accesses a position recommendation system website, user information is transmitted to a database server through a www server, a data preprocessing subsystem extracts user data from the database server and submits the preprocessed data to a data mining subsystem, wherein a user clustering subsystem in the data mining subsystem periodically executes a clustering algorithm again according to the latest access data and stores clustering results in an index database, and a position association rule subsystem performs association data mining on positions and users to generate person-position clustering. And the personalized recommendation subsystem makes personalized recommendation for the user according to the query information of the current user and feeds the personalized recommendation back to the www server. And then, adding a position webpage link set which is possibly about to be accessed on the target webpage by the www server according to the connection actually clicked by the user, and feeding back the position webpage link set to the user for browsing.
Fig. 4 is a schematic diagram of system components of a position recommendation system according to an embodiment of the present invention. The job recommendation system comprises the following components: user, portal, application layer, support layer, data layer and base layer 6 parts.
On the user level, the position recommendation system provides use paths of two groups of people, namely, a job seeker and a system administrator, and the portal level is used for websites and system operation interfaces which are directly used and operated by various users.
The application layer comprises a job seeker management module, a position management module, a recruitment management module, a test management module, a statistical analysis module and a recommendation management module.
Wherein,
the job seeker management module comprises job seeker information, job seeker classification setting, job seeker labels and the like, and resumes information submitted by job seekers is stored.
The position management module comprises position information, position classification setting, position labels and the like, and stores the instruction information of each position.
The recruitment management module comprises acquisition rule setting, recruitment information, company information and the like, and dynamic updating and management of the recruitment information are realized.
The test management module comprises test question management, index management, test paper management and report management, and realizes the composition of the post competency scoring test paper.
The statistical analysis module comprises evaluation analysis, job hunting analysis, recruitment analysis and position analysis, and realizes report analysis of various information.
The recommendation management module comprises recommendation rule setting, recommendation mode setting and recommendation records, parameter setting and sending mode setting of personalized recommendation are achieved, the recommendation records are stored, an index base is formed, and historical query is facilitated.
The support layer comprises a user management module, a system management module and a support system module.
Wherein,
the user management module comprises user management, role management, authority management and the like, wherein the user management realizes the management of users logging in the background management, the role management realizes the identity role management of the background login users, and the authority management realizes the management of the use authority of the background login users.
The system management module comprises log management, data backup and resource retrieval. The log management is log information of a management system, a mail and the like, the data backup is a function of realizing backup export of user data and resource data, the resource retrieval is keyword retrieval of resources, and retrieved contents comprise titles, contents and the like.
The support system module comprises help instruction, message management and evaluation management. The help explanation is used for issuing an instruction article about the system and managing the instruction article, the message management is used for managing messages of the user and deleting sensitive contents, and the evaluation management is used for checking related evaluation of the user, deleting sensitive contents in the evaluation and managing the evaluation.
The data layer is essentially the database portion of the embodiment of the present invention, and the data of the above-mentioned modules is stored in the database. For example: a testing database, a job database, a recruitment database, a job hunting database, a journal database, and the like.
The infrastructure layer includes the network infrastructure and the system hardware platform, which may be implemented using conventional techniques in conjunction with the cognitive abilities of those skilled in the art, and will not be described further herein.
In the embodiment of the invention, the data is subjected to computer automatic analysis and auxiliary decision making, the relevant data of human resources can be converted into useful information to assist the decision making of job seekers in job hunting, the invention is the combination of talent assessment technology and a computer system, wherein a management program mainly comprises system users, policies and programs, manual operation, decision reference and the like, and the computer system comprises data, work/position/organization and other support data, software, other hardware and the like of the job seekers.
Next, a schematic analysis flow diagram of the post competency model provided in the embodiment of the present invention is introduced, and as shown in fig. 5, the post recommendation system takes the post competency model as a core model, and the set post competency evaluation model may be as follows:
setting an advanced level evaluation method library with high practicability, reliability and effectiveness, comprehensively establishing a job matching algorithm mathematical model by utilizing various human job matching theories, and applying the model to an individualized job recommendation system. The job seeker can recognize the personal ability tendency of the job seeker through the response to the test paper, know the own ability type and the job type, and when the job recruitment information is acquired, the job recommendation system analyzes and arranges according to the matching degree of the job seeker and the enterprise job recruitment position, so that a large amount of time and energy are saved for the job seeker, and the recruitment efficiency is improved.
The architecture of the post competency model in the embodiment of the invention is a data analysis mode, resume information of a job seeker is processed into standardized data, the standardized data is input into a job seeker database, the society sets and analyzes talent requirements for positions, the input data of various data such as the job seeker database, the talent requirements, an analysis sample database and the like is analyzed by a post competency model analysis mechanism, difference analysis is carried out according to four constituent aspects of the post competency, such as professional knowledge analysis, technical analysis, capability analysis, psychological analysis and other analysis (such as interest and hobby analysis), and finally the comprehensive result is used as a report to output the post competency analysis result of the job seeker so as to help an applicant to objectively and fairly select a proper position.
As can be seen from the above illustration of fig. 2 to 5, the technical solution of the embodiment of the present invention mainly summarizes the indexes required by the skills of each position by detailed division of the skills required by each position, and establishes a complete test database for testing each ability, and a job seeker sets a desired position according to the prompt guided by the position recommendation system, and the position recommendation system automatically generates a test paper corresponding to the required ability of the position, and feeds back the test result to the job seeker, thereby improving the employment grasp of the job seeker on the position. And then, the job recommendation system extracts individualized job information suitable for the competence level of the job seeker from the job database according to the test condition of the job seeker, so that the pertinence of the job seeker in locking the application job is improved. And after the job seeker successfully applies the job, the feedback is given, after the job state is changed, the job recommendation system automatically collects the feedback information, the recommendation effect is known, the corresponding post competence model is dynamically adjusted, and the accuracy of job recommendation is improved.
The above-described embodiments are provided to enable persons skilled in the art to make or use the invention, and modifications or variations can be made to the above-described embodiments by persons skilled in the art without departing from the inventive concept of the present invention, and therefore the scope of protection of the present invention is not limited by the above-described embodiments but should be accorded the widest scope consistent with the innovative features set forth in the claims.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
To facilitate a better implementation of the above-described aspects of embodiments of the present invention, the following also provides relevant means for implementing the above-described aspects.
Referring to fig. 6-a, a job recommendation system 600 according to an embodiment of the present invention may include: a job seeker management module 601, a test question management module 602, a test result management module 603, a capability evaluation module 604, and a recommendation management module 605, wherein,
the job seeker management module 601 is used for acquiring resume information of job seekers, wherein the resume information comprises job hunting requirements of the job seekers;
the test question management module 602 is configured to invoke a corresponding test question from a test database according to the resume information of the job seeker and based on an index associated with the position corresponding to the job hunting demand, and generate a test paper before job hunting;
the test result management module 603 is configured to present the test paper to the job seeker, and receive a response result of the job seeker to the test paper;
a capability evaluation module 604, configured to evaluate, according to a test standard in the post competence model, the post competence of the job seeker for the job hunting requirement in combination with a response result of the job seeker to the test paper;
and the recommendation management module 605 is configured to invoke the position information adapted to the position competence from the position database, generate a position recommendation scheme, and provide the position recommendation scheme to the job seeker.
Referring to fig. 6-b, in some embodiments of the invention, the position recommendation system 600 may further include: and the model maintenance module 606 is configured to receive the evaluation of the job seeker and the application effect feedback, and dynamically maintain the post competency model.
As shown in fig. 6-b, in some embodiments of the present invention, the job seeker management module 601 is further configured to receive a registration login of the job seeker;
the recommendation management module 605 is further configured to, after the job seeker logs in, feed back a historical job recommendation record to the job seeker if the job seeker has evaluated the post competence of the job seeker before logging in this time;
or, the recommendation management module 605 is further configured to, after the job seeker logs in, if the job seeker has evaluated the post competence of the job seeker before logging in this time and the job database is updated, retrieve job information adapted to the post competence from the updated job database, generate a new job recommendation scheme, and provide the new job recommendation scheme to the job seeker.
As shown in fig. 6-b, in some embodiments of the invention, the position recommendation system 600 may further include:
an index generation module 607, configured to summarize indexes required for each position in the position database;
a test question generation module 608, configured to make test questions with different contents and multiple dimensions according to a human job matching theory and combining post analysis before the test question management module 602 retrieves a corresponding test question from the test database;
the test question association module 609 is configured to establish a corresponding relationship between the index to be tested and each test question, and generate the test database.
As shown in FIG. 6-b, in some embodiments of the invention, the recommendation management module 605 includes:
a matching sub-module 6051, configured to perform similarity calculation between the post competency and a capacity required by each post in the post database;
and the position recommendation sub-module 6052 is configured to search a near-far neighbor from the human-position association matrix according to a matching result of the similarity calculation, and sequentially return a plurality of position information from a nearest neighbor.
As shown in fig. 6-b, in some embodiments of the invention, the position recommendation system 600 may further include: a test report management module 610, an analysis report management module 611, and a report feedback module 612, wherein,
the test report management module 610 is configured to, after the performance evaluation module evaluates the post competence of the job seeker for the job hunting requirement, generate a personal job hunting performance test report according to the post competence of the job seeker for the job hunting requirement;
the analysis report management module 611 is configured to generate a recommendation analysis report for the position information recommended by the job seeker;
the report feedback module 612 is configured to provide the recommendation analysis report and the personal job hunting ability test report to the job seeker.
As shown in fig. 6-b, in some embodiments of the invention, the recommendation management module 605 is specifically configured to provide the job recommendation to the candidate by at least one of:
pushing in a webpage feedback result mode, or pushing in a mobile communication mode, or pushing in an email subscription mode, or pushing in an instant communication mode.
It should be noted that, because the contents of information interaction, execution process, and the like between the modules/units of the apparatus are based on the same concept as the method embodiment of the present invention, the technical effect brought by the contents is the same as the method embodiment of the present invention, and specific contents may refer to the description in the foregoing method embodiment of the present invention, and are not described herein again.
In summary, according to the job-seeking requirement of the job seeker, the index associated with the job position corresponding to the job-seeking requirement is found out, so that the corresponding test questions are called from the test database according to the found index to form a test paper before job hunting, the test paper is presented to the job seeker, the reply result of the job seeker to the test paper is received, the job competence of the job seeker for the job-seeking requirement is measured according to various test standards in the job competence model and in combination with the reply result of the job seeker, finally, the job information matched with the job competence is called from the job database to form a job position recommendation scheme, and the job information is fed back to the job seeker. The test paper formed by the test questions can reflect corresponding indexes needed by different positions, the position competence of the job seeker is evaluated according to the degree of the indexes possessed by the job seeker, the position recommended to the job seeker is the position matched with the position competence of the job seeker, and therefore the personalized position meeting the needs of the job seeker can be recommended for the job seeker, and talents possibly meeting the needs of job recruitment are provided for the recruiter.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by hardware that is instructed to implement by a program, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
In view of the above, the detailed description of the method for recommending positions for job seekers and the position recommendation system provided by the present invention is provided, and the general technicians in this field may change the specific implementation manner and the application scope according to the ideas of the embodiments of the present invention.
Claims (15)
1. A method for recommending positions for job seekers, comprising:
acquiring resume information of job seekers, wherein the resume information comprises job-seeking requirements of the job seekers;
calling corresponding test questions from a test database based on indexes associated with positions corresponding to the job-seeking requirements according to resume information of the job seeker, and generating a test paper before job hunting;
presenting the test paper to the job seeker, and receiving a response result of the job seeker to the test paper;
according to the test standard in the post competence model, evaluating the post competence of the job seeker for the job hunting requirements by combining the response result of the job seeker to the test paper;
and calling the position information matched with the position competence from a position database, generating a position recommendation scheme, and providing the position recommendation scheme for the job seeker.
2. The method of claim 1, wherein providing the job recommendation further comprises, after providing the job applicant with the job applicant:
and receiving the evaluation of the job seeker and the feedback of the application effect, and dynamically maintaining the post competency model.
3. The method of claim 1, wherein the obtaining resume information of the job seeker further comprises: receiving registration login of a job seeker;
after the job seeker logs in, if the job seeker evaluates the post competence of the job seeker before logging in, feeding back a historical job recommendation record to the job seeker;
after the job seeker logs in, if the job seeker evaluates the post competence of the job seeker before logging in, the job database is updated, job information matched with the post competence is called from the updated job database, a new job recommendation scheme is generated, and the new job recommendation scheme is provided for the job seeker.
4. The method of claim 1, wherein the retrieving the corresponding test question from the test database further comprises:
summarizing indexes required by each position in the position database;
respectively making test questions with different contents and multiple dimensions according to a human job matching theory and analysis of posts;
and establishing a corresponding relation between the indexes to be tested and each test question, and generating the test database.
5. The method of claim 1, wherein said retrieving position information from a position database that is adapted to the position competency comprises:
similarity calculation is carried out on the post competency and the competency required by each post in the post database;
and searching the near-far neighbor users from the human-position incidence matrix according to the matching result of similarity calculation, and sequentially returning a plurality of position information from the nearest neighbor users.
6. The method of claim 1, wherein said evaluating the job seeker's job competency for the job hunting needs based on testing criteria in a job competency model in conjunction with the job seeker's responses to the test rolls further comprises:
generating a personal job hunting capability test report according to the job hunting capability of the job hunter aiming at the job hunting requirement;
the step of calling the position information matched with the position competence from the position database and generating the position recommendation scheme further comprises the following steps:
generating a recommendation analysis report aiming at the position information recommended for the job seeker;
and providing the recommendation analysis report and the personal job hunting capability test report to the job hunter.
7. The method of claim 1, wherein the providing the job recommendation to the candidate comprises:
providing the job recommendation to the candidate by at least one of:
pushing in a webpage feedback result mode, or pushing in a mobile communication mode, or pushing in an email subscription mode, or pushing in an instant communication mode.
8. The method of claim 1, wherein the resume information further comprises: the information of the working experience of the job seeker, the interest and hobbies of the job seeker and the education experience of the job seeker.
9. A position recommendation system, comprising:
the job seeker management module is used for acquiring resume information of job seekers, and the resume information comprises job hunting requirements of the job seekers;
the test question management module is used for calling corresponding test questions from a test database according to the resume information of the job seeker and indexes associated with positions corresponding to the job-seeking requirements and generating a test paper before job-seeking;
the test result management module is used for presenting the test paper to the job seeker and receiving the reply result of the job seeker to the test paper;
the ability evaluation module is used for evaluating the post competence of the job seeker for the job hunting requirements in combination with the reply results of the job seeker to the test paper according to the test standards in the post competence model;
and the recommendation management module is used for calling the position information matched with the position competence from the position database, generating a position recommendation scheme and providing the position recommendation scheme for the job seeker.
10. The system of claim 9, further comprising:
and the model maintenance module is used for receiving the evaluation of the job seeker and the feedback of the application effect and dynamically maintaining the post competence model.
11. The system of claim 9, wherein the job seeker management module is further configured to receive a registration entry for a job seeker;
the recommendation management module is further used for feeding back a historical job recommendation record to the job seeker after the job seeker logs in and if the job seeker evaluates the post competency of the job seeker before logging in;
or, the recommendation management module is further configured to, after the job seeker logs in, if the job seeker has evaluated the job competence of the job seeker before logging in this time and the job database is updated, retrieve job information adapted to the job competence from the updated job database, generate a new job recommendation scheme, and provide the new job recommendation scheme for the job seeker.
12. The system of claim 9, further comprising:
the index generation module is used for summarizing indexes required by all positions in the position database;
the test question generation module is used for respectively making test questions with different contents and multiple dimensions according to a human role matching theory and combining post analysis before the test question management module calls the corresponding test questions from the test database;
and the test question association module is used for establishing a corresponding relation between the indexes to be tested and each test question and generating the test database.
13. The system of claim 9, wherein the recommendation management module comprises:
the matching sub-module is used for carrying out similarity calculation on the post competency and the competence required by each post in the post database;
and the position recommendation submodule is used for searching the near-far neighbor users from the human-position incidence matrix according to the matching result of the similarity calculation and sequentially returning a plurality of position information from the nearest neighbor users.
14. The system of claim 9, further comprising: a test report management module, an analysis report management module and a report feedback module, wherein,
the test report management module is used for generating a personal job hunting capability test report according to the post competence of the job seeker for the job hunting requirements after the capability evaluation module evaluates the post competence of the job seeker for the job hunting requirements;
the analysis report management module is used for generating a recommendation analysis report aiming at the position information recommended by the job seeker;
the report feedback module is used for providing the recommendation analysis report and the personal job hunting capability test report to the job hunter.
15. The system of claim 9, wherein the recommendation management module is specifically configured to provide the job recommendation to the candidate by at least one of:
pushing in a webpage feedback result mode, or pushing in a mobile communication mode, or pushing in an email subscription mode, or pushing in an instant communication mode.
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