CN108062657A - Method and system are interviewed in personnel recruitment - Google Patents
Method and system are interviewed in personnel recruitment Download PDFInfo
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Abstract
The present invention relates to a kind of personnel recruitments to interview method and system, and method includes obtaining the professional power portrait of holography of candidate, and the holographic professional power portrait includes multinomial label and its professional force value；The Post Model of employment side is obtained, the positions demand that the Post Model is provided according to employment side generates, and the Post Model includes multinomial label and its ideal value；The holographic professional power portrait with the Post Model is matched, the candidate is determined if appropriate for the post, and exports the adaptation report of people hilllock.Method and system provided by the invention, three talent, post, topic dimension integrations are got up by a set of label, magnanimity is completed based on label to calculate, realize interview, talent evaluation, people hilllock adaptation, the full process automatization of talent recommendation, the recruitment for allowing all employing units is more efficient, more accurate with interviewing work, in the process, the individual demand of tissue is especially paid attention to, so as to fulfill " people's duty ", the multiple matching on " people hilllock ", " people's tissue ".
Description
Technical field
The present invention relates to Internet technical fields, and in particular to method and system are interviewed in a kind of personnel recruitment.
Background technology
The traditional approach of tissue recruitment new employee is manually to interview, this needs tissue occurrences in human life and professional to form interview
Group carries out candidate special interview, takes time and effort, engagement efficiency is low, and might not can recruit suitable tissue post
The talent.
With the development of internet, more and more class products of recruiting emerge in large numbers, and candidate begins through internet and delivers letter
It goes through, organizes to find the suitable talent also by network.But since some time, recruitment class product and service in the market, always
Follow the situation of information (resume etc.) distribution of extensive style, wherein the drive profit instinct that there are problems that people can not evade：
(1) candidate in resume conceals shortcoming or plays tricks intentionally；Simultaneously also in the prevalence of unintentionally playing tricks, i.e., due to
Self-assessment distortion caused by the autognosis deviation of candidate；
(2) hunter or selection in recruitment agencies are present with beautification candidate or selectivity to facilitate interview and registration in recommendation process
Avoid candidate there are the problem of phenomena such as, candidate message causes matching degree low there are moisture；
(3) also there are following cost problems for traditional candidate message acquisition modes：In high quality resume obtain into
This height, hunter return that servant is high, resume amount is few, and low-quality resume then so that screening operation is very complicated；
(4) many high-end posies are strange land interviews, and the cost generated due to interview is higher.
The Internet era of information abundance is being seemed as a result, information overabundance instead results in tissue and is more difficult to eliminate the false and retain the true,
Employment side obtains effective information, the tactile cost up to the matching talent goes up not down.
In addition to above-mentioned resume obtains this link, in interview, employment side is also faced with many problems, main pain spot
It is present in interview human hand, time, instrument etc.：
(1) do not have interviewer.There is no the expert that can interview some professional posts in tissue or interview content beyond HR team
Knowledge；
(2) interviewer has no time.A large amount of machineries of interviewer's manpower repeat (group volume/interview/unlimited following of correcting/evaluate
Ring) meaningless loss is brought, cause interview efficiency low and of high cost, particularly the time cost higher of the interviewer in advanced post；
Simultaneously, it is easy to since interviewer's arrangement of time is not opened, and miss the talent；
(3) interviewer's having time there is not instrument.Almost all of tissue will not all go independent research and development to be suitble to this tissue, this post
The interview topic of individual demand, causes the letter validity of assessment process and result, matching degree all than relatively low, can only be entirely with interviewer's
Experience, and interview result is largely influenced be subject to the emotion (mood of such as interviewer, stereotype) of people；
(4) in the case that interviewer's having time has instrument, also often there is problems with：Tooling order one；One can only be applied mechanically
As standard it is personalized without having；Only a small amount of sample of this tissue and cause norm poor quality；
(5) in many cases, employment side thinks that candidate is improper at a glance, but for fear of ceremony, is still to do brief interview,
Waste the time of both sides；
(6) since the matching degree of the talent-tissue is difficult to ensure that, hidden danger has just been buried in interview link, has organized brain drain
Rate remains high.
The content of the invention
For in the prior art the defects of, a kind of personnel recruitment interview method and system provided by the invention, by a set of
Label gets up three talent, post, topic dimension integrations, and completing magnanimity based on label calculates, and realizes interview, Ren Caiping
Valency, people hilllock adaptation, the full process automatization of talent recommendation make the recruitment of all employing units and interview work more efficient, more smart
Standard in the process, especially payes attention to the individual demand of tissue, so as to fulfill " people-duty ", " people-hilllock ", multiple of " people-tissue "
Match somebody with somebody.
In a first aspect, the present invention provides a kind of personnel recruitments to interview method, including：
The professional power portrait of holography of candidate is obtained, wherein, the holographic professional power portrait includes multinomial label and its duty
Industry force value；
The Post Model of employment side is obtained, wherein, the positions demand that the Post Model is provided according to employment side generates, institute
Stating Post Model includes multinomial label and its ideal value；
The holographic professional power portrait with the Post Model is matched, determines the candidate if appropriate for described
Post, and export the adaptation report of people hilllock.
Preferably, the step of generating the holographic professional power portrait includes：
The actual value corresponding to every necessary label is extracted from the data of the candidate, the actual value is added
It is added in holographic professional power portrait under corresponding label.
Preferably, the step of generating the holographic professional power portrait further includes：
The purpose post of candidate is obtained, the purpose post includes at least a label；
Topic corresponding with the label in the purpose post is extracted from interview exam pool, forms falseface examination question；
Performance of the candidate to the falseface examination question is analyzed, obtains the measured value of respective labels, updates institute
State holographic professional power portrait.
Preferably, the step of generating the holographic professional power portrait further includes：
According to the learning behavior of the candidate, topic composition corresponding with the learning behavior is extracted from interview exam pool
Study test and appraisal, to testing and assessing because the capacity variation generated during study；
Performance of the candidate to the study test and appraisal is analyzed, the measured value of respective labels is obtained, described in update
Holographic occupation power portrait.
Preferably, further include：Judge whether the label that the Post Model is chosen is reasonable and right by structural equation model
The Post Model is modified.
Preferably, further include：Using machine learning techniques, the big data during product use is gathered, training simultaneously updates
The Post Model.
Preferably, it is described the holographic professional power portrait is matched with the Post Model before, further include：
Topic composition effective surface examination question corresponding with the label in the Post Model is chosen from interview exam pool, wherein,
Per pass topic in the interview exam pool has marked and its ideal value；
Measured value under respective labels is obtained to the performance of the effective surface examination question according to the candidate.
Preferably, topic composition effective surface corresponding with the label in the Post Model is chosen in the exam pool from interview
Examination question, including：
Topic composition effective surface examination question corresponding with the label in the Post Model is chosen from the interview exam pool；
The historical data drawn a portrait according to holographic professional power and the label for having generated measured value, determine the effective surface examination question
In need not resurvey and need the topic concealed, the effective surface examination question for concealing part topic is pushed to the candidate carries out face
Examination.
Preferably, it is described to match the holographic professional power portrait with the Post Model, determine the candidate
If appropriate for the post, and the adaptation report of people hilllock is exported, including：
By the label in the holographic professional power portrait and its professional force value and the label and topic in the Post Model
Ideal value carry out one-to-one corresponding matching, obtain the candidate for the post every post index original scoring；
The original scoring of the candidate is converted by normative score according to norm；
And the normative score of every post index is weighted to obtain total matching degree according to the weight of every post index；
Determine the candidate if appropriate for the post according to the matching degree；
The adaptation report of people hilllock is obtained according to the normative score of every post index and total matching degree.
Second aspect, the present invention provides a kind of personnel recruitment interview exam system, including：
Candidate message acquisition module, for obtaining the professional power portrait of the holography of candidate, wherein, the holographic professional power
Portrait includes multinomial label and its professional force value；
Post data obtaining module, for obtaining the Post Model of employment side, wherein, the Post Model is according to employment side
The positions demand generation of offer, the Post Model include multinomial label and its ideal value；
Matching module for the holographic professional power portrait to be matched with the Post Model, determines the candidate
People exports the adaptation report of people hilllock if appropriate for the post.
Preferably, portrait generation module is further included, for extracting every necessary mark from the data of the candidate
The actual value is added in holographic professional power portrait under corresponding label by the corresponding actual value of label.
Preferably, the portrait generation module is additionally operable to：
The purpose post of candidate is obtained, the purpose post includes at least a label；
Topic corresponding with the label in the purpose post is extracted from interview exam pool, forms falseface examination question；
Performance of the candidate to the falseface examination question is analyzed, obtains the measured value of respective labels, updates institute
State holographic professional power portrait.
Preferably, the portrait generation module is additionally operable to：
According to the learning behavior of the candidate, topic composition corresponding with the learning behavior is extracted from interview exam pool
Study test and appraisal, to testing and assessing because the capacity variation generated during study；
Performance of the candidate to the study test and appraisal is analyzed, the measured value of respective labels is obtained, described in update
Holographic occupation power portrait.
Preferably, Post Model correcting module is further included, is used for：Judge that the Post Model is selected by structural equation model
Whether the label taken is reasonable, and the Post Model is modified.
Preferably, the Post Model correcting module, is used for：Using machine learning techniques, during gathering product use
Big data, training simultaneously updates the Post Model.
Preferably, interview group topic module is further included, is used for：
Topic composition effective surface examination question corresponding with the label in the Post Model is chosen from interview exam pool, wherein,
Per pass topic in the interview exam pool has marked and its ideal value；
Measured value under respective labels is obtained to the performance of the effective surface examination question according to the candidate.
Preferably, the interview group topic module is specifically used for：
Topic composition effective surface examination question corresponding with the label in the Post Model is chosen from the interview exam pool；
The historical data drawn a portrait according to holographic professional power and the label for having generated measured value, determine the effective surface examination question
In need not resurvey and need the topic concealed, the effective surface examination question for concealing part topic is pushed to the candidate carries out face
Examination.
Preferably, the matching module is specifically used for：
By the label in the holographic professional power portrait and its professional force value and the label and topic in the Post Model
Ideal value carry out one-to-one corresponding matching, obtain the candidate for the post every post index original scoring；
The original scoring of the candidate is converted by normative score according to norm；
And the normative score of every post index is weighted to obtain total matching degree according to the weight of every post index；
Determine the candidate if appropriate for the post according to the matching degree；
The adaptation report of people hilllock is obtained according to the normative score of every post index and total matching degree.
Description of the drawings
A kind of flow chart for personnel recruitment interview method that Fig. 1 is provided by the embodiment of the present invention；
A kind of structure diagram for personnel recruitment interview exam system that Fig. 2 is provided by the embodiment of the present invention；
A kind of preferred structure block diagram for personnel recruitment interview exam system that Fig. 3 is provided by the embodiment of the present invention.
Specific embodiment
The embodiment of technical solution of the present invention is described in detail below in conjunction with attached drawing.Following embodiment is only used for
Clearly illustrate technical scheme, therefore be intended only as example, and the protection of the present invention cannot be limited with this
Scope.
It should be noted that unless otherwise indicated, technical term or scientific terminology used in this application should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
Firstly, for tissue end, by login system, the data of company of typing employment side simultaneously passes through tissue and recognizes for employment side
Card.The HR of employment side according to tissue it is personalized need choose positions demand in systems.In the present embodiment, system is by post mould
Type is further divided into following module：Knowledge expertise, ability quality, individual character, motivation and values.
Knowledge expertise investigate individual the fact a certain specific area possesses type with empirical information and with these letters
Breath completes the ability of a certain specific works.
Ability quality investigates individual and successfully completes the prerequisite psychological characteristics of the institute of activity in certain, focuses on investigation and has sent out
Put on display the practical capacity of coming.
Individual character investigates individual uniqueness, stablizing and essential psychological tendency and psychological characteristics, can reflect that individual is latent
Behavior and attitude.
Motivation investigates the inner principles for determining individual behavior, can explain that the profound level of a certain behavior of individual choice is former
Cause；Values investigates attitude and tendentiousness of the individual to some specific things.
The present embodiment will reach by the way that the talent, post, topic is given to assign corresponding label and wrapped the talent, post, topic
The information visualization contained, the purpose quantified, the label associate the talent, post, topic as tie, which includes energy
Power label and non-ability label.
The method of the present embodiment, with reference to post competency model, passes through a large amount of HR based on the above-mentioned classification to ability quality
Interview, post good performance personnel's interview, understand the job function in each post and the competency profiling of each side, reference line expert
Opinion, count the positions demand index more refined, according to these refinement after positions demand index generative capacity label,
Such as：For a post Capability Requirement for " advanced Japanese ", then the one of ability label in the post will be " Japanese,
It is advanced ".Each post that employment side proposes can be labeled with several ability labels, i.e. the composition of the competency in this post will
Element, similar to the content of post specification, information visualization that the mode of handling capacity label is included positions demand, amount
Change, standardization, facilitate the matching talent and post.
Non- ability label is the index in addition to the element that ability label is weighed, e.g., age, address of candidate etc.
People's basic information, length of service, from Chen Xingge etc..
Each label is endowed corresponding value.In order to facilitate description, the label being attached in this application in Post Model
Value is known as ideal value, and ideal value is used to limit some ability needs that level reached；Label value on topic is also known as ideal
Value, the ideal value are related with model answer and standards of grading；It is known as professional force value, professional power for the label value being attached on the talent
Value according to its source difference is divided into actual value and measured value again, the referred to as actual value when data of the professional force value from candidate,
The referred to as measured value when professional force value comes from various tests and interview process.
The existing method for proposing positions demand is to provide one section of description to post, and for this mode, system can be from this
Keyword, and Auto-matching label are extracted in the description of section post, is issued after generating Post Models based on all labels matched
Recruit post.Meanwhile substantial amounts of label can be provided previously in system, selection label customization in employment side's meets the requirement of oneself company
Post Model, therefore, employment side need not provide the post description of big section, directly generate accurate post mould by customizing label
Type.Just when beginning to use, it may not be possible to very accurately identify the individual demand of employment side, with generation Post Model and
Interview result is more and more, and system can be recorded intelligently and analyze the demand of employing unit and employment preference data, and to
Suitable label is recommended by people side, accelerates the efficiency of Post Model generation.
The method of this implementation fully pays close attention to the individual demand of employment side, even same industry, same post and
Work post, different tissues also have different requirements.Therefore, method through this embodiment, tissue can set personalized
Label, the interview that the tissue individual demand is met according to label generation are inscribed.Correspondingly, same person interviews same post,
When in face of different tissues, it is different to need the interview answered topic, thus the collocation degree drawn and evaluation are different.
Secondly, for candidate end, candidate is by logging in interview exam system, typing personal information, including objective base number
According to from old elastic data, objective base data include gender, birthday, contact method etc., include educational background, duty from old elastic data
Go through already, Reason for leaving, to the hilllock time, it is expected emolument etc..The mark that system possesses by the personal information extraction candidate of typing
Label, are divided into two classes, and one kind is non-ability class label, such as：Purpose work city, it is expected compensation range, it is expected post, professional level,
Age, educational background, industry etc.；The another kind of ability of being class label, such as language ability, all kinds of professional abilities, to obtain holographic occupation
Power is drawn a portrait.Holographic occupation power portrait is as a result, it includes multinomial label, holographic duty to the comprehensive assessment of every ability of candidate
Industry power portrait constitutes the professional power of some particular candidate, to describe every professional force value.
In the present embodiment, the professional power of holography that candidate can be generated by following steps is drawn a portrait.Generate the holographic occupation
The step of power is drawn a portrait includes：Step S101 extracts the reality corresponding to every necessary label from the data of the candidate
The actual value is added in holographic professional power portrait under corresponding label by actual value.
The preliminary holographic professional power that can only obtain candidate by above-mentioned steps S101 is drawn a portrait, and tissue passes through preliminary holography
Professional power portrait can not also far obtain the true comprehensive information of candidate's occupation power, and the method and system of the present embodiment can be goed deep into
Excavate the dynamic depth data of candidate, with supplement the label that can not be obtained by personal information or by from it is old it is not objective enough,
The data easily faked, such as psychological quality, language ability, professional ability, to obtain the evaluation to candidate's objective reality, with
Improve later stage " people-tissue " matched precision.For this purpose, the present embodiment further includes step S102 on the basis of step S101：
Step S1021, obtains the purpose post of candidate, and the purpose post includes at least a label；
Step S1022 extracts topic corresponding with the label in the purpose post from interview exam pool, forms falseface
Examination question；
Step S1023 analyzes performance of the candidate to the falseface examination question, obtains the measurement of respective labels
Value updates the holographic professional power portrait.
Wherein, purpose post is the post type that purpose that candidate selects in typing data is taken office, and is provided in system
Post type be labeled at least one label, label is used for describing tissue to the ability that possesses needed for the talent in the post of taking office
It is required that the group that system can carry out falseface examination question according to the purpose post of candidate is inscribed, to assess its corresponding professional power, and then
The requirement in purpose post can be more matched by the ability that the modes such as study possess candidate, meanwhile, the number of process generation
According to the professional power portrait of the holography that will improve candidate.
Wherein, the topic for including substantial amounts of interview in exam pool is interviewed, each topic can be endowed several from difference
The label and its ideal value of dimension, such as difficulty, knowledge class, applicable scene, can be taken out by label from interview exam pool
The topic of the corresponding ability value of the label can be tested by taking out.
Wherein, in step S1023, update the holographic professional power portrait and refer to the measured value obtained with step S1023 more
The professional force value of corresponding label in new holographic professional power portrait, alternatively, when the label is not present in holographic professional power portrait,
The label is supplemented in holographic occupation power portrait, and measured value is stored under the label.
The present embodiment further includes step S103 on the basis of step S101：
Step S1031 according to the learning behavior of the candidate, is extracted corresponding with the learning behavior from interview exam pool
Topic composition study test and appraisal, to testing and assessing because the capacity variation generated during study；
Wherein, learning behavior refers to the process of that candidate is learnt to promote professional power.On the one hand, for candidate's
Interview situation, system can provide a user corresponding learned lesson, and user improves corresponding professional power by these learned lessons,
Learned lesson in system is matched, candidate is after learned lesson is completed according to thematic classification by special topic with respective labels
System can extract corresponding topic composition test question according to thematic classification from exam pool.On the other hand, system can also be climbed by network
Worm technology captures learning behavior and learning outcome of the candidate in other websites, to update the professional power of candidate.
Step S1032 analyzes performance of the candidate to the study test and appraisal, obtains the measurement of respective labels
Value updates the holographic professional power portrait.
Wherein, the measured value that the holographic professional power portrait refers to be obtained with step S1032 is updated in step S1032 to update
The professional force value of corresponding label in holographic occupation power portrait, alternatively, when the label is not present in holographic professional power portrait, complete
The label is supplemented in the professional power portrait of breath, and measured value is stored under the label.
Candidate obtains certain professional ability, and passes through study and survey by carrying out the study of relevant speciality in systems
It comments to obtain the certification of respective capabilities, to improve actual professional power.
The present embodiment further includes step S104 on the basis of step S101：Candidate is obtained in true interview process
Data are interviewed, according to the professional power portrait of the holography of candidate described in the interview data update.
Wherein, true interview process is referring to step S10-S50.Renewal process is mainly generated according in true interview process
Label true measurement update or supplement candidate the professional power portrait of holography.
Certainly, the present embodiment can also use step S102, step S103 and step S104 simultaneously, more objective to generate
With real holographic professional power portrait.
The method of the present embodiment, the test and appraisal data interviewed and actually interviewed by the simulation of candidate in systems, passes through
Repeatedly, complementary, various informative test and appraisal progressively gather the professional force value of candidate, incrementally, dynamically, completely and clearly
Generate the professional power portrait of holography of candidate.
The problem data of magnanimity is stored in interview exam pool, the type of topic includes various professional tests topic, psychological test
Topic, personality test question etc., according to difficulty to the graduation of professional test topic, it is necessary to give each road topic tagged, to represent
The problem can test any capacity index.One of topic can be endowed several labels and ideal value from different dimensions, such as
Difficulty, knowledge class are applicable in scene etc..In the present embodiment, generating the method for the interview exam pool includes：
Under same post index, project analysis is carried out to all topics of the index in the interview exam pool, is determined every
Problem purpose difficulty, discrimination etc..Specifically, each topic is analyzed with CR values method and topic total correlation method, deleted
Non-compliant topic is removed or changed, ensures the validity of each topic, and establishes the difficulty of each topic, distinguish the number of degrees
According to.
CR (Critical ratio) value method is called critical ratio value method.Test sample and independent sample are chosen in candidate
This.It is calculated using test sample, calculates total score of the candidate in certain post index first, and total score height is arranged
Row, find out the fraction at 27% above and below height grouping, and scale score is divided into two groups of height, then examines height two with independent sample
Difference of the group under each topic deletes the not significant topic of difference.
The specific practice for inscribing total correlation method is the related coefficient being obtained between each topic and post index score total score,
Using the size of the related coefficient and whether significantly foundation that whether retains as topic, by the topic deletion that related coefficient is too small.
At this point, we explore the one-dimensional of topic in index definition and index with exploratory factor analysis.Using it is main into
Analytic approach is divided to carry out exploratory factor analysis, analyzes the matrix of loadings of initial factors, then it is orthogonal using varimax progress
Rotation, draws postrotational factor loading matrix, verifies whether that 1 principal element can be extracted, and the characteristic value of the factor will
More than 1.It is verified by the above method into row index one-dimensional, determines the label of per pass topic, and delete the topic that can not sort out.
Under same post index, one of topic can have multiple labels, but under the same intension of same post index, then
It can only be there are one label.By taking post index " language ability " as an example, under " languages " and " difficulty " the two different intensions, one
Road topic can have " Japanese ", " advanced " two labels；But when only considering " difficulty " this intension, a problem cannot be both
" advanced " and it is " primary ".
The professional power portrait of holography, the Post Model of employment side and interview exam pool based on the candidate generated in system,
A kind of personnel recruitment interview method is present embodiments provided, as shown in Figure 1, including：
Step S1 obtains the professional power portrait of holography of candidate, wherein, the holographic professional power portrait includes multinomial label
And its professional force value.
Step S2 obtains the Post Model of employment side, wherein, the positions demand that the Post Model is provided according to employment side
Generation, the Post Model include multinomial label and its ideal value.
The holographic professional power portrait with the Post Model is matched, whether determines the candidate by step S3
It is suitble to the post, and exports the adaptation report of people hilllock.
Wherein, the preferred embodiment of step S3 includes：
By the label in the holographic professional power portrait and its professional force value and the label and topic in the Post Model
Ideal value carry out one-to-one corresponding matching, obtain the candidate for the post every post index original scoring；
The original scoring of the candidate is converted by normative score according to norm；
And the normative score of every post index is weighted to obtain total matching degree according to the weight of every post index；
Determine the candidate if appropriate for the post according to the matching degree；
The adaptation report of people hilllock is obtained according to the normative score of every post index and total matching degree.
Wherein, norm is a kind of standard volume number for Gong comparing, by standardization sample test result calculations, i.e., a certain mark
The average and standard deviation of standardization sample.It is reference score criteria when mental measurement is used to compare and explain test result.
Because only that when test score is compared with certain standard, the meaning representated by it can be just shown.
The method of the present embodiment is got up three talent, post, topic dimension integrations by label, is completed based on label
Magnanimity calculates.The interview topic for being suitble to this tissue recruitment post is automatically generated by system, " the people of automation is realized by label
- post " matches, and realizes interview, talent evaluation, people hilllock adaptation, the full process automatization of talent recommendation, allows all employment lists
Position recruitment work it is more efficient, more precisely, in the process, especially pay attention to tissue individual demand, so as to fulfill " people-duty ",
" people-hilllock ", the multiple matching of " people-tissue ".
Method is interviewed based on above-mentioned personnel recruitment, can realize the automatic push of the talent, it will by step S1- steps S3
The talent in system is matched with post, and the higher talent of matching degree is pushed to employment side, is specifically included：
The Post Model of employment side is obtained, wherein, the positions demand that the Post Model is provided according to employment side generates, institute
Stating Post Model includes multinomial label and its ideal value；
The professional power portrait of the holography of candidate in acquisition system, wherein, the holographic professional power portrait includes multinomial label
And its professional force value；
The professional power of the holography of all candidates is drawn a portrait and is matched with the Post Model of employment side, determines the candidate
If appropriate for the post, and export the adaptation report of people hilllock；
The higher candidate of matching degree is pushed to employment side.
Method is interviewed based on above-mentioned personnel recruitment, can realize the automatic push in post, it will by step S1- steps S3
The talent in system is matched with post, and the higher post of matching degree is pushed to candidate, is specifically included：
The Post Model of employment side in acquisition system, wherein, the positions demand that the Post Model is provided according to employment side
Generation, the Post Model include multinomial label and its ideal value；
Acquisition is the professional power portrait of holography of candidate, wherein, the holographic professional power portrait include multinomial label and its
Professional force value；
The professional power of the holography of all candidates is drawn a portrait and is matched with the Post Model of employment side, determines the candidate
If appropriate for the post, and export the adaptation report of people hilllock；
The high post of matching degree is pushed to the candidate.
By the above method, the higher post of both sides of supply and demand automatic push matching degree or the talent are can be implemented as, is improved double
Square matching efficiency and precision.
Method is interviewed based on above-mentioned personnel recruitment, can realize the automatic interview to candidate, specific steps include：
Step S10 obtains the professional power portrait of holography of candidate, wherein, the holographic professional power portrait includes multinomial mark
Label and its professional force value.
Step S20 obtains the Post Model of employment side, wherein, the post need that the Post Model is provided according to employment side
It seeks survival into, the Post Model includes multinomial label and its ideal value.
Step S30 chooses topic composition actual measurement interview corresponding with the label in the Post Model from interview exam pool
Topic, wherein, the per pass topic in the interview exam pool has marked and its ideal value.
Step S40 obtains the measured value of respective labels according to the candidate to the performance of the effective surface examination question.
Step S50, by the measured value of label in the professional force value of label in the holographic professional power portrait and step S40
It is matched with the ideal value of label in the Post Model, determines the candidate if appropriate for the post, and export people
Hilllock adaptation report.
Certainly, in candidate constantly carries out true interview process by system, system can record candidate interviewing mistake
The interview data such as tissue, post and interview result.On the one hand, system is interviewed by analyzing the history of candidate in systems
Data provide the suggestion of candidate's job hunting or even provide the push of relational learning course, to improve related professional power.The opposing party
Face, the history that hetero-organization can obtain candidate by system interviews data as reference, to help tissue more comprehensive
Understand the professional power of candidate.
Wherein, the preferred embodiment of step S50 includes：
By the professional force value of label in the holographic professional power portrait and with the measured value of label in step S40 with it is described
The ideal value of label carries out one-to-one corresponding matching in Post Model, and the every post for obtaining the candidate for the post refers to
The original scoring of target；
The original scoring of the candidate is converted by normative score according to norm；
And the normative score of every post index is weighted to obtain total matching degree according to the weight of every post index；
Determine the candidate if appropriate for the post according to the matching degree；
The adaptation report of people hilllock is obtained according to the normative score of every post index and total matching degree.
Wherein, the weight of every post index, in the Post Model automatically generated included in system, employment side also can basis
Individual demand voluntarily adjust weight, delete examination question group in Post Model, transfer from exam pool examination question group add in Post Model,
Self-defined newly-built examination question and examination question group.
Candidate can constantly learn, and ability value can also change, will according to the period of change attribute of capacity index
Capacity index is divided into permanent index, crystal index and indicator liquid.Permanent index refer to will not changed index, such as
Birthday, the permanent index of ordinary circumstance need not resurvey.Crystal index refers to the index that significant changes will not occur in a short time, such as
The character trait (such as crushing resistance) of candidate, reasonable length " not resurveying the phase " can be generally set for crystal index.Liquid refers to
Mark refers to the index that may may have changed index or in face of different tissues when different answers in a short time, such as through too short
The index or last time that temporary training and study can get a promotion are in short-term memory in testing, the finger that this time possible ability declines
Mark, generally requires for indicator liquid and resurveys in real time.
Based on different capacity index different characteristics, all kinds of capacity indexes are set different " not resurveying the phase ".Correspondingly, walk
The method that is preferably implemented of rapid S30 includes：
Topic composition effective surface examination question corresponding with the label in the Post Model is chosen from the interview exam pool；
The historical data drawn a portrait according to holographic professional power and the label for having generated measured value, determine the effective surface examination question
In need not resurvey and need the topic concealed, the effective surface examination question for concealing part topic is pushed to the candidate carries out face
Examination.Wherein, label and its professional power in the professional power portrait of holography that the historical data of holographic professional power portrait generates before
Value.
For being in the index of " not resurveying the phase ", when interview topic is generated when group is rolled up as usual, but paper is shown at candidate end,
The capacity index can be judged according to the testing time of the capacity index of candidate's current record whether in " not resurveying the phase ", if
Also in " not resurveying the phase ", then interview page conceals the topic that need not be resurveyed, to reduce the unnecessary interview time and ensure
Candidate interviewing is experienced.But employment side can be prompted in group scrolling face, employment can select force resurvey, at this point, no matter candidate
Whether in " not resurveying the phase ", interview page can show corresponding topic to people.
In the present embodiment, employment side is when creating post and interview, regular (the i.e. post of simply test paper generation of actual creation
Model), there is no generation test and appraisal papers.For candidate when starting interview, system just can be it according to test paper generation rule from face
Examination question generation paper is extracted in test item bank, and every candidate can be individually created paper.Meanwhile questions pool ensure that paper
It will not repeat.
Since requirement of the different posies to same index level is different, it is necessary to pass through the actual a large amount of actual measurements interviewed under situation
Data to the norm of the identical Index Establishment different editions employed in different posies, accomplish the differentiation that becomes more meticulous between post.Together
When, since requirement of the different tissues to same post, same index is different, pass through the actual measurement number of the actual interview generation of certain tissue
According to the features such as culture with reference to the tissue, management, establishing the norm of the Post Model and certain index under the tissue, accomplish
The differentiation that becomes more meticulous between different tissues.
The method of the present embodiment further includes：Judge whether the label that the Post Model is chosen closes by structural equation model
Reason, and the Post Model is modified.
The modification method of Post Model comprises the following steps：First choice, using topic as the variable for influencing people hilllock collocation degree, respectively
Index and people hilllock collocation degree establish the structural equation model and path profile in post, mould are acquired using data analysis as latent variable
Chi-square Test result, approximate error root mean square and other models fitting indexes of type, the fitting degree of comprehensive descision model, and according to
This is modified post index, the weight of index and entire model.
The method of the present embodiment further includes：Using machine learning techniques, the big data during product use, training are gathered
And update the Post Model.
Passing through the continuous amendment to Post Model so that the individual demand of tissue is more used and more met to Post Model, this
So that the product substitutes artificial interview more and more in an organization internal.It specifically, can be from following several
A aspect is modified Post Model and norm：
(1) by the evaluating result really interviewed and final employment decision-making is organized to compare, with correct Post Model with often
Mould；
(2) compared with all same post candidates of this tissue, correct Post Model and norm；
(3) compared with entering the performance of trade-after, correct Post Model and norm.
Wherein, (1) belongs to criterion with (3) and associates amendment, i.e., by the whole collocation degree of candidate and each index score with
It employs performance in result, pay level, post deciding grade and level, work etc. and does regression analysis, probe candidate's entirety collocation degree
And correlativity of each index with employing the performance in result, pay level, post deciding grade and level, work etc., carry out inspection target
It chooses, the reasonability of evaluation.
For " single, not easy-to-use " of more previous similar product, personnel recruitment provided in this embodiment interviews method and is
System has been truly realized " multidimensional is easy-to-use " that interview product must be accomplished.
" single " of traditional product refers to that appraisal report evaluates one or a few dimension with often judging the case as it stands,
But it organically blends between each index contained by professional power, and is to interact with each other in reality of work, be usually 1
+ 1 ＞'s 2 or ＜ 2 rather than=2.Therefore, the method and system of the present embodiment by all indexs include jointly the visual field, then do it is micro-
See evaluation.
" not easy-to-use " of traditional product although referring to that these products have only investigated a smaller number of dimension, grow by report
Tired wooden tablets or slips for writing, conclusion hedge, are ambiguous fuzzy, make reader do not know still this person want with, how to use, it is difficult to directly instruct
Employment decision-making.On the contrary, the method and system of the present embodiment have accomplished macroscopic view and microcosmic combination, at the same it is easy to use, pass through number
According to excavating and analyzing, predict whether some candidate possesses competent potential quality.It is " this post entirety collocation degree " and each to candidate
Item subdivision ability does quantitative and qualitatively dual assessment, had both prompted the indexs such as whole collocation degree, and had allow tissue at a glance
It makes employment decision-making and then docks it and recruit management system, the explicit evaluation of each specific each level index is also provided.
Based on the inventive concept identical with above-mentioned personnel recruitment interview method, a kind of personnel recruitment face is present embodiments provided
Test system, as shown in Fig. 2, including：
Candidate message acquisition module, for obtaining the professional power portrait of the holography of candidate, wherein, the holographic professional power
Portrait includes multinomial label and professional force value；
Post data obtaining module, for obtaining the Post Model of employment side, wherein, the Post Model is according to employment side
The positions demand generation of offer, the Post Model include multinomial label and ideal value；
Matching module for the holographic professional power portrait to be matched with the Post Model, determines the candidate
People exports the adaptation report of people hilllock if appropriate for the post.
Preferably, shown in Fig. 3, portrait generation module is further included, it is each for being extracted from the data of the candidate
The actual value is added in holographic professional power portrait under corresponding label by the actual value corresponding to the necessary label of item.
Preferably, the portrait generation module is additionally operable to：
The purpose post of candidate is obtained, the purpose post includes at least a label；
Topic corresponding with the label in the purpose post is extracted from interview exam pool, forms falseface examination question；
Performance of the candidate to the falseface examination question is analyzed, obtains the measured value of respective labels, updates institute
State holographic professional power portrait.
Preferably, the portrait generation module is additionally operable to：
According to the learning behavior of the candidate, topic composition corresponding with the learning behavior is extracted from interview exam pool
Study test and appraisal, to testing and assessing because the capacity variation generated during study；
Performance of the candidate to the study test and appraisal is analyzed, the value of corresponding capacity index is obtained, updates institute
State holographic professional power portrait.
Preferably, shown in Fig. 3, Post Model correcting module is further included, is used for：The hilllock is judged by structural equation model
Whether the label that bit model is chosen is reasonable, and the Post Model is modified.
Preferably, the Post Model correcting module, is used for：Using machine learning techniques, during gathering product use
Big data, training simultaneously updates the Post Model.
Preferably, shown in Fig. 3, interview group topic module is further included, is used for：
Topic composition effective surface examination question corresponding with the label in the Post Model is chosen from interview exam pool, wherein,
Per pass topic in the interview exam pool has marked and its ideal value；
Measured value under respective labels is obtained to the performance of the effective surface examination question according to the candidate.
Preferably, the interview group topic module is specifically used for：
Topic composition effective surface examination question corresponding with the label in the Post Model is chosen from the interview exam pool；
The historical data drawn a portrait according to holographic professional power and the label for having generated measured value, determine the effective surface examination question
In need not resurvey and need the topic concealed, the effective surface examination question for concealing part topic is pushed to the candidate carries out face
Examination.
Preferably, the matching module is specifically used for：
By the label in the holographic professional power portrait and its professional force value and the label and topic in the Post Model
Ideal value carry out one-to-one corresponding matching, obtain the candidate for the post every post index original scoring；
The raw score of the candidate is converted by normative score according to norm；
And the normative score of every post index is weighted to obtain total matching degree according to the weight of every post index；
Determine the candidate if appropriate for the post according to the matching degree；
The adaptation report of people hilllock is obtained according to the normative score of every post index and total matching degree.
System provided in this embodiment and the above method have identical advantageous effect for identical inventive concept, this
Place repeats no more.
It should be noted that in various embodiments above step sequence number (such as S1, S2, S3) just to facilitate description and it is right
The mark that step is made, the numeric order of step are not used in the sequential for limiting step.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Pipe is described in detail the present invention with reference to foregoing embodiments, it will be understood by those of ordinary skill in the art that：Its according to
Can so modify to the technical solution recorded in foregoing embodiments either to which part or all technical characteristic into
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is not made to depart from various embodiments of the present invention technology
The scope of scheme should all cover among the claim of the present invention and the scope of specification.
Claims (10)
1. method is interviewed in a kind of personnel recruitment, which is characterized in that including：
The professional power portrait of holography of candidate is obtained, wherein, the holographic professional power portrait includes multinomial label and its professional power
Value；
The Post Model of employment side is obtained, wherein, the positions demand that the Post Model is provided according to employment side generates, the hilllock
Bit model includes multinomial label and its ideal value；
The holographic professional power portrait with the Post Model is matched, determines the candidate if appropriate for the hilllock
Position, and export the adaptation report of people hilllock.
2. according to the method described in claim 1, it is characterized in that, the generation holographic professional power includes the step of portrait：
The actual value corresponding to every necessary label is extracted from the data of the candidate, the actual value is added to
In holographic occupation power portrait under corresponding label.
3. according to the method described in claim 2, it is characterized in that, the generation holographic professional power further includes the step of portrait：
The purpose post of candidate is obtained, the purpose post includes at least a label；
Topic corresponding with the label in the purpose post is extracted from interview exam pool, forms falseface examination question；
Performance of the candidate to the falseface examination question is analyzed, obtains the measured value of respective labels, is updated described complete
The professional power portrait of breath.
4. according to the method described in claim 2, it is characterized in that, the generation holographic professional power further includes the step of portrait：
According to the learning behavior of the candidate, topic composition study corresponding with the learning behavior is extracted from interview exam pool
Test and appraisal, to testing and assessing because the capacity variation generated during study；
Performance of the candidate to the study test and appraisal is analyzed, the measured value of respective labels is obtained, updates the holography
Professional power portrait.
5. it according to the method described in claim 1, it is characterized in that, further includes：The post is judged by structural equation model
Whether the label that model is chosen is reasonable, and the Post Model is modified.
6. it according to the method described in claim 1, it is characterized in that, further includes：Using machine learning techniques, acquisition product uses
Big data in the process, training simultaneously update the Post Model.
7. according to the method described in claim 1, it is characterized in that, described by the holographic professional power portrait and the post
Before model is matched, further include：
Topic composition effective surface examination question corresponding with the label in the Post Model is chosen from interview exam pool, wherein, it is described
Per pass topic in interview exam pool has marked and its ideal value；
Measured value under respective labels is obtained to the performance of the effective surface examination question according to the candidate.
8. the method according to the description of claim 7 is characterized in that in the exam pool from interview in selection and the Post Model
Label corresponding topic composition effective surface examination question, including：
Topic composition effective surface examination question corresponding with the label in the Post Model is chosen from the interview exam pool；
The historical data drawn a portrait according to holographic professional power and the label for having generated measured value, determine nothing in the effective surface examination question
It need to resurvey and need the topic concealed, the effective surface examination question for concealing part topic is pushed to the candidate interviews.
It is 9. according to the method described in claim 1, it is characterized in that, described by the holographic professional power portrait and the post mould
Type is matched, and determines the candidate if appropriate for the post, and exports the adaptation report of people hilllock, including：
By the label in the holographic professional power portrait and its professional force value and the label and the reason of topic in the Post Model
Think that value carries out one-to-one corresponding matching, obtain original scoring of the candidate for every post index in the post；
The original scoring of the candidate is converted by normative score according to norm；
And the normative score of every post index is weighted to obtain total matching degree according to the weight of every post index；
Determine the candidate if appropriate for the post according to the matching degree；
The adaptation report of people hilllock is obtained according to the normative score of every post index and total matching degree.
10. a kind of personnel recruitment interview exam system, which is characterized in that including：
Candidate message acquisition module, for obtaining the professional power portrait of the holography of candidate, wherein, the holographic professional power portrait
Including multinomial label and its professional force value；
Post data obtaining module, for obtaining the Post Model of employment side, wherein, the Post Model is provided according to employment side
Positions demand generation, the Post Model include multinomial label and its ideal value；
Matching module for the holographic professional power portrait to be matched with the Post Model, determines that the candidate is
It is no to be suitble to the post, and export the adaptation report of people hilllock.
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