CN105139108A - Talents ability assessment and post matching method and system - Google Patents
Talents ability assessment and post matching method and system Download PDFInfo
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- CN105139108A CN105139108A CN201510477366.2A CN201510477366A CN105139108A CN 105139108 A CN105139108 A CN 105139108A CN 201510477366 A CN201510477366 A CN 201510477366A CN 105139108 A CN105139108 A CN 105139108A
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Abstract
A talents ability assessment method comprises: acquiring a first result worked out by an assessed person for assessment questions in a first database; analyzing and outputting a second result with a mapping relation with the first result by means of a second database according to the acquired first result; acquiring the second result; performing determination on the second result by means of a third database; determining whether a third result with a mapping relation with the second result exists in the third database; and outputting the third result. With adoption of the talents ability assessment and post matching method and system provided by the present invention, by performing ability assessment on a job seeker, then performing post matching according to an assessment result and presenting a resume of the job seeker subjected to matching to recruitment personnel, the problems that whether the job seeker is qualified for a post that the job seeker applies for can be determined only by means of a probation period in conventional network recruitment, which invisibly causes waste on time of the job seeker and cause waste on cost of an employment unit, are solved.
Description
Technical field
The present invention relates to recruitment software application field, particularly relate to the method for the assessment of a kind of talent ability and Postmatch.
Background technology
Day by day universal along with network, E-Recruit has become a kind of maturation, has recruited form efficiently, recruitment information can timing orientation be thrown in, also can manage after issue, its expense is relatively cheap compared with recruitment fair form, can cover the whole world in theory, by the information of recruiting at talent's Web realease, can fast, the information receiving job hunter of magnanimity, and the form resume that provides of each website and form email can reduce the difficulty of resume selection, accelerate the speed of process resume.
But existing E-Recruit only provides essential information and the track record of job applicant, recruiter can only be screened job applicant by the essential information of job applicant and track record, and cannot judge that ability is competent in the post of job applicant, employing unit is often caused to need trying out through the long period, just can judge the whether competent post of applying for of recruited job applicant, virtually waste is caused to the time of job hunter, and the waste on cost is caused to employing unit.
Summary of the invention
For solving the defect of existing network recruitment, the invention provides the method for the assessment of a kind of talent ability and Postmatch, by first carrying out capability evaluation to job hunter, Postmatch is carried out again according to assessment result, recruiter is presented in the resume of the job applicant after coupling, decreasing in former E-Recruit to pass one's probation period just can judge the whether competent post of applying for of job applicant, virtually waste is caused to the time of job hunter, and the problem of the waste on cost is caused to employing unit.
For solving the problems of the technologies described above, the invention provides the method for a kind of talent ability assessment, described the method comprises:
Step one, obtains the first result that evaluated people makes the assessment exercise question in the first database;
Step 2, according to obtained described first result by the second result that the second database analysis also exports and described first result maps mutually;
Step 3, obtain described second result, by the 3rd database, described second result is judged, judge in described 3rd database, whether to there is the 3rd result mapped mutually with described second result, as as described in exist in the 3rd database with as described in the 3rd result that maps mutually of the second result, then output the 3rd result; As described in do not exist in the 3rd database with as described in the 3rd result that maps mutually of the second result then repeat step one, step 2 and step 3.
Further, in described step one, the assessment exercise question quantity in described first database is i road, multiple first results that the evaluated people of described acquisition makes the i road assessment exercise question in the first database.
Further, in described step 2, described multiple first result also exports the second result to the corresponding mapping of described multiple first result by the second database analysis.
Further, also comprised before or after described above-mentioned arbitrary step: preset the assessment exercise question in the first database and preset the first result.
Further, between described above-mentioned arbitrary step or also comprise afterwards: preset the second result mapped mutually with the first result in the second database.
Further, between described above-mentioned arbitrary step or also comprise afterwards: preset the 3rd result described in the 3rd database, and set the mapping relations of described 3rd result and described second result.
The present invention also provides a kind of method of talents-job fit, obtain multiple 3rd results that the arbitrary described talent ability appraisal procedure of claim 1 to 7 exports, and described multiple 3rd result is classified, generate multiple classification set containing other the 3rd result of same class, obtain Post Model, mate with multiple described classification set according to Post Model, the classification set that output matching is consistent.
The present invention also provides a kind of talent ability evaluating system, comprise: the first database: for storing assessment exercise question and the first result, second database: for storing the second result mapped mutually with described first result, the 3rd database: for storing the 3rd result mapped mutually with described second result;
First acquisition module: for obtaining the first result that evaluated people makes the assessment exercise question in the first database, second acquisition module: for obtaining the second result mapped mutually with described first result, the 3rd acquisition module: for obtaining the 3rd result mapped mutually with described second result;
Whether the first judge module, exist for judging the 3rd result mapped mutually with described second result in described 3rd database.
The present invention also provides a kind of talents-job fit system, comprise: the 4th acquisition module: for obtaining multiple 3rd results that described talent ability evaluating system exports, and described multiple 3rd result is classified, generate multiple classification set containing other the 3rd result of same class;
Postmatch module: for obtaining Post Model, mates with multiple described classification set according to Post Model, the classification set that output matching is consistent.
Beneficial effect of the present invention is adopted to be:
By the method for a kind of talent ability assessment provided by the invention and Postmatch, first can carry out capability evaluation to job hunter, Postmatch is carried out again according to assessment result, recruiter is presented in the resume of the job applicant after coupling, decreasing in former E-Recruit to pass one's probation period just can judge the whether competent post of applying for of job applicant, virtually waste is caused to the time of job hunter, and the problem of the waste on cost is caused to employing unit.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of a kind of talent ability assessment of the present invention.
Embodiment
Below in conjunction with the drawings and specific embodiments, clear, complete explanation is carried out to the present invention.
As shown in Figure 1, in the present embodiment, provide the method for talent ability assessment, comprise: step one, obtain the first result S1 that evaluated people makes the assessment exercise question in the first database, step 2, according to first result of getting by the second result S2 that the second database analysis also exports and the first result maps mutually, step 3, obtain the second result, by the 3rd database, the second result is judged, judge in the 3rd database, whether to there is the 3rd result S3 mapped mutually with the second result, as there is the 3rd result mapped mutually with the second result in the 3rd database, then export the 3rd result, if there is not the 3rd result mapped mutually with the second result in the 3rd database, repeat S1, S2, the step of S3.
In the present embodiment, first database is for storing assessment exercise question, the quantity of this assessment exercise question is i road, i be more than or equal to 1 integer, and the kind of i problem totally can be divided into two large classes, is respectively task class and relation object, wherein task class is divided into again high task subclass and low task subclass, relation object is divided into again high relation subclass and low relation subclass, and job applicant is by answering to per pass assessment exercise question, and its result of answering exports the first corresponding result through the first database.
Further, in step, when the assessment exercise question that job applicant does comprises multiple high tasks and low task, calculate the mean value of high task and the mean value of low task, then smaller value is deducted with higher value, such as the mean value of high task is greater than the mean value of low task, if gained difference 0 first result is middle task, it is high task that acquired results is greater than 0 first result, such as the mean value of low task is greater than the mean value of high task again, if gained difference 0 first result is middle task, it is low task that acquired results is greater than 0 first result.
When the assessment exercise question that job applicant does comprises multiple high relations and low relation, calculate the mean value of high relation and the mean value of low relation, then less mean value is deducted with larger mean value, such as the mean value of high relation is greater than the mean value of low relation, gained difference is 0 first result is middle relation, it is high relation that acquired results is greater than 0 first result, such as the mean value of low relation is greater than the mean value of high relation again, if gained difference 0 first result is middle relation, it is low relation that acquired results is greater than 0 first result.
Further, in step 2, multiple first results that obtaining step one exports, the plurality of first result comprises: one or more in high task, middle task, low task, high relation, middle relation, low relation, and by the second database carry out mate and output matching after the second result, wherein, this second result comprises: the one in the low relation of low task, low task high relation, the low relation of high task, high task high relation, middle task in relation, the low relation of middle task, middle task high relation, high task in relation, low task in relation.
Further, in step 3, second result that obtaining step two exports, and judge according to the second result of the 3rd result stored in the 3rd database and acquisition, the 3rd result such as, stored in the 3rd database comprises: formula of delegating power, participatory, indicating type, coach's formula, balance-type, wherein, the 3rd result preset with the mapping relations of the second result is: the low relation of the corresponding low task of formula of delegating power, the corresponding low task high relation of participatory, the low relation of the corresponding high task of indicating type, the corresponding high task high relation of coach's formula, relation in task in balance-type correspondence, after getting the second result, judge whether the second result exists mapping relations with the 3rd result, when the second result is: the low relation of middle task, middle task high relation, relation in high task, during in low task in relation one, then judge that the 3rd result in the second result and the 3rd database is without mapping relations, then return in step one, job applicant is allowed to continue to do assessment exercise question, repeat step 2 and step 3 afterwards, until judge to there is the 3rd result mapped mutually with the second result in the 3rd database, when the 3rd result in judgement second result and the 3rd database exists mapping relations, then export the 3rd result mapped mutually with the second result.
Above mentioned embodiment provide the evaluation and test of a kind of interpersonal relation and Mission Capability, in order to the evaluation and test of other abilities can be met, also comprise before or after arbitrary step in above-mentioned steps: preset the assessment exercise question in the first database and default first result corresponding with assessment exercise question, preset the second result mapped mutually with the first result, and preset the 3rd result mapped mutually with the second result.
In the present embodiment, additionally provide a kind of method of talents-job fit, comprise multiple 3rd results obtaining and exported by above-described embodiment, wherein, the corresponding job applicant of each the 3rd result, multiple 3rd result is classified, and the classification set generated containing other the 3rd result of same class, obtain the Post Model of employing unit again, the ability required for this post is analyzed according to Post Model, such as generate according to multiple 3rd result formula classification intersection of delegating power respectively, participatory classification intersection, indicating type classification intersection, coach's formula classification intersection, balance-type classification intersection, each classification intersection comprises multiple 3rd result, learn that this positions demand is delegated power the formula talent by analyzing Post Model again, formula of then delegating power classification intersection carries out transferring and sending to recruiter, further, whole job applicant's resumes in formula of delegating power classification intersection also will in dedicating recruiter to.
The present embodiment additionally provides a kind of talent ability evaluating system, comprise: the first database: for storing assessment exercise question and the first result, second database: for storing the second result mapped mutually with the first result, the 3rd database: for storing the 3rd result mapped mutually with the second result.
First acquisition module: for obtaining the first result that evaluated people makes the assessment exercise question in the first database, second acquisition module: for obtaining the second result mapped mutually with the first result, the 3rd acquisition module: for obtaining the 3rd result mapped mutually with the second result.
Whether the first judge module, exist for judging the 3rd result mapped mutually with the second result in the 3rd database, if there is the 3rd result mapped mutually with the second result, obtain the 3rd result by the 3rd acquisition module.
Further, the present embodiment additionally provides a kind of talents-job fit system, comprise: the 4th acquisition module: for obtaining multiple 3rd result, and multiple 3rd result is classified, generate multiple classification set containing other the 3rd result of same class, and Postmatch module: for obtaining and analyzing Post Model, the ability required for this post is analyzed according to Post Model, and mate with multiple described classification set according to required ability, the classification set that output matching is consistent.
Although the present invention with preferred embodiment openly as above; but it is not for limiting the present invention; any those skilled in the art without departing from the spirit and scope of the present invention; the Method and Technology content of above-mentioned announcement can be utilized to make possible variation and amendment to technical solution of the present invention; therefore; every content not departing from technical solution of the present invention; the any simple modification done above embodiment according to technical spirit of the present invention, equivalent variations and modification, all belong to the protection domain of technical solution of the present invention.
Claims (9)
1. a method for talent ability assessment, it is characterized in that, described the method comprises:
Step one, obtains the first result that evaluated people makes the assessment exercise question in the first database;
Step 2, according to obtained described first result by the second result that the second database analysis also exports and described first result maps mutually;
Step 3, obtain described second result, by the 3rd database, described second result is judged, judge in described 3rd database, whether to there is the 3rd result mapped mutually with described second result, as as described in exist in the 3rd database with as described in the 3rd result that maps mutually of the second result, then output the 3rd result; As described in do not exist in the 3rd database with as described in the 3rd result that maps mutually of the second result then repeat step one, step 2 and step 3.
2. the method for claim 1, is characterized in that, in described step one, the assessment exercise question quantity in described first database is i road, multiple first results that the evaluated people of described acquisition makes the i road assessment exercise question in the first database.
3. method as claimed in claim 2, is characterized in that, in described step 2, described multiple first result also exports the second result to the corresponding mapping of described multiple first result by the second database analysis.
4. the method for claim 1, is characterized in that, also comprises before or after described above-mentioned arbitrary step: preset the assessment exercise question in the first database and preset the first result.
5. the method for claim 1, is characterized in that, between described above-mentioned arbitrary step or also comprise afterwards: preset the second result mapped mutually with the first result in the second database.
6. the method for claim 1, is characterized in that, between described above-mentioned arbitrary step or also comprise afterwards: preset the 3rd result described in the 3rd database, and set the mapping relations of described 3rd result and described second result.
7. the method for a talents-job fit, it is characterized in that, obtain multiple 3rd results that the arbitrary described talent ability appraisal procedure of claim 1 to 7 exports, and described multiple 3rd result is classified, generate multiple classification set containing other the 3rd result of same class, obtain Post Model, mate with multiple described classification set according to Post Model, the classification set that output matching is consistent.
8. a talent ability evaluating system, is characterized in that, comprising:
First database: for storing assessment exercise question and the first result, the second database: for storing the second result mapped mutually with described first result, the 3rd database: for storing the 3rd result mapped mutually with described second result;
First acquisition module: for obtaining the first result that evaluated people makes the assessment exercise question in the first database, second acquisition module: for obtaining the second result mapped mutually with described first result, the 3rd acquisition module: for obtaining the 3rd result mapped mutually with described second result;
Whether the first judge module, exist for judging the 3rd result mapped mutually with described second result in described 3rd database.
9. a talents-job fit system, is characterized in that, comprising:
4th acquisition module: for obtaining multiple 3rd results that described talent ability evaluating system exports, and described multiple 3rd result being classified, generating multiple classification set containing other the 3rd result of same class;
Postmatch module: for obtaining Post Model, mates with multiple described classification set according to Post Model, the classification set that output matching is consistent.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106021274A (en) * | 2016-04-29 | 2016-10-12 | 北京格分维科技有限公司 | Model system and method for talent ability evaluation based on big data |
| CN107248062A (en) * | 2017-05-26 | 2017-10-13 | 郑连涛 | A kind of talent assesses and commending system |
| CN107391547A (en) * | 2017-06-01 | 2017-11-24 | 武汉威特管理咨询有限公司 | A kind of manpower object data matching process and system |
| CN108829676A (en) * | 2018-06-11 | 2018-11-16 | 安徽引航科技有限公司 | Talent's professional ability appraisal procedure based on text analysis technique |
| CN111639864A (en) * | 2020-06-02 | 2020-09-08 | 交通运输部天津水运工程科学研究所 | Quantitative assessment method for post security competence of port operating personnel |
| CN114925287A (en) * | 2022-07-22 | 2022-08-19 | 天津大学 | Intelligent knowledge management system and method based on big data |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101183447A (en) * | 2007-12-06 | 2008-05-21 | 上海大学 | On-line talent evaluating and choosing system |
| CN101315682A (en) * | 2007-05-28 | 2008-12-03 | 上海易米信息科技有限公司 | Curriculum vitae database processing method based on internet |
| CN101436277A (en) * | 2008-12-04 | 2009-05-20 | 北京安博在线软件有限公司 | System for providing test comment, training, job hunting and recruitment |
| CN103294816A (en) * | 2013-06-09 | 2013-09-11 | 广东倍智人才管理咨询有限公司 | Method and system for recommending positions for job seeker |
-
2015
- 2015-08-06 CN CN201510477366.2A patent/CN105139108A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101315682A (en) * | 2007-05-28 | 2008-12-03 | 上海易米信息科技有限公司 | Curriculum vitae database processing method based on internet |
| CN101183447A (en) * | 2007-12-06 | 2008-05-21 | 上海大学 | On-line talent evaluating and choosing system |
| CN101436277A (en) * | 2008-12-04 | 2009-05-20 | 北京安博在线软件有限公司 | System for providing test comment, training, job hunting and recruitment |
| CN103294816A (en) * | 2013-06-09 | 2013-09-11 | 广东倍智人才管理咨询有限公司 | Method and system for recommending positions for job seeker |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106021274A (en) * | 2016-04-29 | 2016-10-12 | 北京格分维科技有限公司 | Model system and method for talent ability evaluation based on big data |
| CN107248062A (en) * | 2017-05-26 | 2017-10-13 | 郑连涛 | A kind of talent assesses and commending system |
| CN107391547A (en) * | 2017-06-01 | 2017-11-24 | 武汉威特管理咨询有限公司 | A kind of manpower object data matching process and system |
| CN108829676A (en) * | 2018-06-11 | 2018-11-16 | 安徽引航科技有限公司 | Talent's professional ability appraisal procedure based on text analysis technique |
| CN111639864A (en) * | 2020-06-02 | 2020-09-08 | 交通运输部天津水运工程科学研究所 | Quantitative assessment method for post security competence of port operating personnel |
| CN114925287A (en) * | 2022-07-22 | 2022-08-19 | 天津大学 | Intelligent knowledge management system and method based on big data |
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