CN110378563A - Information processing method, device, computer equipment and storage medium - Google Patents
Information processing method, device, computer equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a kind of information processing method, device, computer equipment and storage medium, solves the positions demand matched description and mismatched with the post, lead to the problem that matching accuracy rate is lower.Method part includes: to determine that the ability of each default post capability scores according to working report corpus and the initial description information of ability；Each ability scoring for presetting post capability is added up to obtain ability integration scoring；The performance that reviewer is obtained for target employee is given a mark；If ability integration scoring is greater than default ability score value, and performance marking is less than default marking score value, it is determined that the target that output capacity scoring is greater than default scoring presets post capability；Target is rejected from the initial description information in post and presets the initial description information of the corresponding ability of post capability, using the initial description information in post after rejecting as the final description information in post.
Description
Technical field
The present invention relates to intelligent recommendation field more particularly to a kind of information processing method, device, computer equipment and storages
Medium.
Background technique
The rapid development of modern science and technology, it is more urgent for the demand of the various talents in society, for each enterprise,
It is extremely important how enterprise recruits the suitable talent, therefore formulates a reasonable post recruitment needs, in order to screen the talent
It is of great significance.Nowadays, many post recruitment needs are all providing by recruiter, usually by recruiter from net
The upper related recruitment information for consulting some post goes to define the post recruitment needs in the post, however, since online data is wrong
The function in comprehensive complicated, each post also disunity and clear, such as the function of identical post title may be also different, from network
The recruitment needs information filtered out may not meet the practical capacity demand on the post, that is to say, that directly shine from network
The recruitment needs information selected, the different positions demand for surely matching the post, positions demand description and the hilllock matched
Position mismatches, and causes matching accuracy rate lower.
, summary of the invention
The present invention provides a kind of information processing method, device, computer equipment and storage medium, solve to shine the trick selected
Demand information, the different positions demand for surely matching the post are engaged, positions demand description and the post matched mismatches,
Lead to the problem that matching accuracy rate is lower.
A kind of information processing method, comprising:
The initial description information in post of the working report corpus and the post of target employee on post is obtained, it is described
The initial description information in post includes the initial description information of ability of each default post capability demand in the post；
Each default post capability is determined according to the working report corpus and the initial description information of the ability
Ability scoring；
The ability scoring of each default post capability is added up to obtain ability integration scoring；
The performance that reviewer is obtained for the target employee is given a mark；
If the ability integration scoring is greater than default ability score value, and performance marking is less than default marking score value, then
Determine that output capacity scoring is greater than the default post capability of target of default scoring；Described in being rejected from the initial description information in the post
Target presets the initial description information of the corresponding ability of post capability, by the initial description information in the post after the rejecting
As the final description information in the post.
A kind of information processing unit, comprising:
First obtains module, for obtaining the working report corpus of target employee on post and the post in the post
Initial description information, the initial description information in post include that the ability of each default post capability demand in the post is initial
Description information；
First determining module, for obtaining the working report corpus and the ability that module obtains according to described first
Initial description information determines the ability scoring of each default post capability；
Second determining module is commented for ability to each default post capability described in first determining module determination
Divide and is added up to obtain ability integration scoring；
Second obtains module, gives a mark for obtaining reviewer for the performance of the target employee；
Third determining module, if being greater than default ability score value for ability integration scoring, and performance marking is small
In default marking score value, it is determined that the target that output capacity scoring is greater than default scoring presets post capability；It is initial from the post
The target is rejected in description information and presets the initial description information of the corresponding ability of post capability, by the institute after the rejecting
The initial description information in post is stated as the final description information in the post.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor realize the step of above- mentioned information processing method when executing the computer program
Suddenly.A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the computer journey
The step of above- mentioned information processing method is realized when sequence is executed by processor.
In the scheme that above- mentioned information processing method, device, computer equipment and storage medium are realized, the embodiment of the present invention
In, the integration capability scoring of user can be obtained from the working report of reflection employee post's ability, and obtain the practical work of employee
Make achievement as foundation, determines that the ability of the default post capability demand finally describes, it also can be according to the comprehensive energy
Power scoring and the marking adjust positions demand, play the mesh of optimization positions demand, solving many post capability demands is all
It is objectively customized by recruiter and the problem of do not meet the actual demand ability in post.
Detailed description of the invention
It, below will be attached needed in the description of this invention in order to illustrate more clearly of technical solution of the present invention
Figure is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this field
For those of ordinary skill, without any creative labor, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the system architecture schematic diagram of information processing method in one embodiment of the invention；
Fig. 2 is a flow diagram of information processing method in one embodiment of the invention；
Fig. 3 is the flow diagram of information processing method in one embodiment of the invention；
Fig. 4 is the flow diagram of information processing method in one embodiment of the invention；
Fig. 5 is the flow diagram of information processing method in one embodiment of the invention；
Fig. 6 is the flow diagram of information processing method in one embodiment of the invention；
Fig. 7 is the flow diagram of information processing method in one embodiment of the invention；
Fig. 8 is the flow diagram of information processing method in one embodiment of the invention；
Fig. 9 is a structural schematic diagram of information processing unit in one embodiment of the invention；
Figure 10 is a structural schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Below in conjunction with the attached drawing in the present invention, the technical solution in the present invention is clearly and completely described, is shown
So, described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on the implementation in the present invention
Example, every other embodiment obtained by those of ordinary skill in the art without making creative efforts belong to
The scope of protection of the invention.
Information processing method provided in an embodiment of the present invention can be applicable in the application environment such as Fig. 1, wherein server
What can be got obtains the initial description information in post of the working report corpus and the post of employee on post, the hilllock
The initial description information in position includes the initial description information of ability of each default post capability demand of the post, thereby executing this hair
Information processing method provided by bright obtains the final description information in post to optimize the description of post capability demand, solves to shine choosing
Recruitment needs information out, the different positions demand for surely matching the post, positions demand description and the post matched
It mismatches, leads to the problem that matching accuracy rate is lower, wherein server can be independent server or cluster server, this hair
Embodiment is without limitation.Information processing method provided by the present invention is described in detail below:
In one embodiment, as shown in Fig. 2, including the following steps:
S10: obtaining the initial description information in post of the working report corpus and the post of employee on post, described
The initial description information in post includes the initial description information of ability of each default post capability demand of the post.
It is appreciated that the post including various different posies type inside a usual enterprise, such as sale post,
Post, civilian post post etc. are researched and developed, it should be noted that, in above-mentioned post, and it can subdivide, such as selling post,
Sale post can be divided into home sale post, international marketing post etc. again, and research and development post can be subdivided into research and development of software hilllock again
Position, hardware research and development post etc., it should be noted that above-mentioned post Type division only illustrates herein, is actually answering
Can be flexible and changeable in, the post property or censure divided according to enterprise determines, is not specifically limited here.The present invention is implemented
In example, above-mentioned post refers to any one in the post of various different posies type.For the member on post
Work, is preset with corresponding working report template, and employee can be in the above-mentioned completion working report in working report template basis as work
Corpus is reported, working report refers to the description and self-examination that employee works to oneself, specifically, but is single with monthly or season
Collect the working report corpus of employee on post in position.It is preset on the working report model in order to get employee's related capabilities letter
The pre-set problem set of breath institute, illustratively, for selling post, the problems in above problem set can be in order to
Obtain the related capabilities information of employee and the interview problem that is arranged, for example, it may be " this month you somewhere, with what
Marketing method completes a sales task? "；" in the secondary sales task, how you are effectively linked up with client? "；"
In the implementation procedure of the secondary sales task, how you receive client? "；" in the implementation procedure of the secondary sales task, you feel
It is there what suffering? "；" for this sales task, what you obtained includes pecuniary return, and how you treat " etc..
It should be noted that interview problem facilities when interview examples of problems is with for sale post herein
For illustrate, specifically can according to the case where post reasonably setting can obtain employee's related capabilities on the post
The problem of information, does not illustrate one by one here.It is further to note that for the employee on post, with monthly or season
The electronic edition of working report is completed for unit, and uploads preset storage location at the appointed time, such as in shared hard disk, clothes
Being engaged in device can be using monthly or season as the working report of unit collection employee, to obtain the working report corpus of employee.It needs
Illustrate, can also be and upload above-mentioned working report in the form of speech, after server gets the working report of voice, turns
For the working report of text, to obtain working report corpus, specifically here without limitation.
In addition to obtaining on post other than the working report corpus of employee, the post that this hair embodiment also obtains the post is initial
Description information, the initial description information in post include that the ability of each default post capability demand of the post initially describes to believe
Breath.The initial description information in post refers to the pre-set standard capability demand in the post, pre- needed for the post for characterizing
It posts a sentry the ability description of capability.In general, the initial description information of ability that ability need is preset in each post is pre- by recruiter
First formulate.
For example, default post capability demand may include communication capability, to customer first ability, executive capability, bear hardships
Ability and successfully thirst for ability.Ability dictionary is collectively formed to above-mentioned multiple default abilities below, separately below to above-mentioned more
A default post capability is introduced:
The initial description information of the ability of communication capability demand illustratively may be defined as: according to the demand of other side, later
It considers a problem to square degree, clearly conveys opinion and idea；It is all ears, it is candid, finally reach an agreement with other side；It uses
Grammer and vocabulary appropriate；Other side's doubt is specified, effectively solves the problems, such as other side；
The initial description information of the ability of customer first ability need illustratively may be defined as: meet other side require,
Counter-party information is obtained, and according to counter-party information for other side's consideration；Communication relationship is established with other side, is kept in touch；Other side is allowed to trust,
Other side is allowed to confirm final result；
The initial description information of the ability of executive capability demand illustratively may be defined as: understand superior intention and idea,
And put into practice, completion task according to quantity on time；
The initial description information of ability of ability need of bearing hardships illustratively may be defined as: meeting difficulty and does not abandon, continues
Execute task；Excess completes task；
The initial description information of ability that ability need is thirsted in success illustratively may be defined as: mood swashs when obtaining return
High, serious hope task is completed.
It should be noted that the initial description information of the above-mentioned ability about default post capability, here only exemplary theory
It is bright, in addition, the default ability number fewer of more than the above-mentioned capability standard factor being previously mentioned can also be arranged in the embodiment of the present invention
Amount can increase the initial description information of corresponding ability, the embodiment of the present invention is not done when newly-increased default capability standard factor quantity
It limits, also different one illustrates.
S20: each described default post energy is determined according to the working report corpus and the initial description information of the ability
The ability of power scores.
Obtaining obtain post on employee working report corpus, and include default post capability ability it is initial
After the initial description information in the post of description information, institute is determined according to the working report corpus and the initial description information of the ability
State the ability scoring of each default post capability of employee.
S30: the ability scoring of each default post capability is added up to obtain ability integration scoring.
After obtaining the ability scoring according to each default post capability, according to each described default post capability
Ability scoring determine the integration capability scoring of the employee, specifically, directly by the ability of each above-mentioned default post capability
Scoring carries out cumulative to obtain above-mentioned integration capability scoring.In application scenes, each default post energy may respectively be
Weight coefficient, wherein is arranged in power, each default post capability setting weight coefficient adds up to 1, and last each is default according to described
The corresponding weight coefficient of the corresponding ability scoring of the ability scoring of post capability, determines the integration capability scoring of the employee, specifically
This hair embodiment is without limitation.
S40: the performance for obtaining reviewer for the target employee is given a mark.
Specifically, by the employee, obtained achievement is determined in actual operation for the marking, for selling post, with
Sales achievement, the amount of money score to employee as the foundation of marking, specifically, can be existed by the leading body at a higher level of the employee to employee
Achievement on the post scores, to be given a mark.It is corresponding with the chronomere of working report corpus is obtained, it is corresponding
In every part of working report, the marking of each employee can be recorded and uploaded as unit of monthly or season, corresponding, server can
To obtain marking of the employee on the post.Wherein, the marking of above-mentioned acquisition and working report corpus are each meant with a
It is obtained in chronomere, such as obtains the season marking of employee, corresponding, the acquisition person as unit of season as unit of season
The season working report corpus of work.
S50: if ability integration scoring is greater than default ability score value, and performance marking is less than default marking point
Value, it is determined that the target that output capacity scoring is greater than default scoring presets post capability；It is picked from the initial description information in the post
Except the target presets the initial description information of the corresponding ability of post capability, the post after the rejecting is initially retouched
Information is stated as the final description information in the post.
After obtaining the scoring of employee's integration capability and the marking on the post, according to integration capability scoring and institute
It states marking and determines the final description information in the post in the post.Specifically, if ability integration scoring is greater than default ability
Score value, and performance marking is less than default marking score value, it is determined that the target that output capacity scoring is greater than default scoring is posted a sentry in advance
Capability；The default corresponding ability of post capability of the target is rejected from the initial description information in the post initially to describe to believe
Breath, using the initial description information in the post after the rejecting as the final description information in the post.Wherein, above-mentioned pre-
If ability is placed and default marking score value is empirical value, it can be seen that, it, can be from reflection employee post in the embodiment of the present invention
The working report of ability obtains the integration capability scoring of user, and the real work achievement for obtaining employee is determined as foundation
The final description information in post of the default post capability demand, also can be according to integration capability scoring and the marking
Positions demand is adjusted, the mesh of optimization positions demand is played, it is all objective certainly by recruiter for solving many post capability demands
The problem of defining and not meeting the actual demand ability in post.
Specifically, in one embodiment, as shown in figure 3, it is in step S20 namely described according to the working report corpus
It determines that the ability of each default post capability of the employee scores with the initial description information of the ability, specifically includes following step
It is rapid:
S21: the initial description information of ability that the working report corpus presets post capability demand with each respectively is determined
Degree of correlation.
S22: the initial description information of ability that post capability demand is preset with each respectively according to the working report corpus
Degree of correlation, determine ability scoring of each default post capability of the employee respectively.
It illustratively, can be respectively according to above-mentioned working report corpus respectively with communication capability, to customer first ability, execution
Ability, ability of bearing hardships and the degree of correlation for successfully thirsting for the corresponding initial description information of ability of ability, so that corresponding determine
Out the communication capability of post employee, to customer first ability, executive capability, ability of bearing hardships and successfully thirst for ability it is corresponding
Scoring.
In one embodiment, as shown in figure 4, in step S21, i.e., the described determination working report corpus respectively with each
The degree of correlation of the initial description information of ability of default post capability demand, specifically comprises the following steps:
S211: term vector conversion is carried out to the working report corpus, to obtain the corresponding work of the working report corpus
Make to report corpus sequence vector.
Specifically, if working report corpus is voice data form, working report corpus can be subjected to text conversion, from
The answer text obtained to conversion segments, and obtains composition and answers each corpus participle of text, then each corpus is segmented vector
Change, obtains each corpus and segment corresponding term vector, to obtain working report corpus sequence vector.If the work got
Reporting corpus has been form of textual data, then directly segments working report corpus, obtains composition working report corpus
Each corpus participle, then by each corpus term vector, obtain each corpus and segment corresponding term vector, to obtain work remittance
Report corpus sequence vector.Working report corpus sequence vector includes that each corpus participle term vector of working report corpus obtains
Each term vector.The elder generation that sequencing after each corpus participle vector occurs in working report corpus with corresponding corpus participle word
Sequence consensus afterwards.It is appreciated that term vector corresponding to the corpus participle most started in working report corpus is in working report language
Expect the sequence in term vector sequence near preceding.
S212: carrying out term vector conversion the initial description information of the ability of each default post capability demand respectively,
To obtain the initial description information sequence vector of ability of each initial description information of the ability.
Similarly, term vector can be carried out to each described default initial description information of the corresponding ability of post capability respectively to turn
Change, to obtain the initial description information sequence vector of the corresponding ability of the initial description information of each ability.Illustratively, if posting a sentry in advance
Capability includes communication capability, to customer first ability, executive capability, ability of bearing hardships and successfully thirsts for ability, then respectively will
Communication capability, to customer first ability, executive capability, ability of bearing hardships and successfully thirst for ability the initial description information of ability into
Row term vector conversion, to obtain the corresponding initial description information sequence vector of ability of each default post capability.
S213: the working report corpus sequence vector and each initial description information vector sequence of ability are calculated separately
The similarity of column, to determine degree of correlation of the working report corpus respectively with multiple default capability standard factors.
It initially describes to believe in the corresponding working report corpus sequence vector and each ability for obtaining working report corpus
After ceasing the corresponding initial description information sequence vector of ability, according to above two sequence vector, the work can be calculated separately
The similarity of corpus sequence vector and each initial description information sequence vector of ability is reported, to determine that the work converges
Report the corpus degree of correlation with multiple default post capabilities respectively
It is worth noting that, directly can realize above-mentioned steps S211 by word2vec algorithm in application scenes
With the term vector conversion process of S212, expansion description is not done here, it is further to note that the embodiment of the present invention is not to above-mentioned
The term vector which kind of form ability description and working report corpus are converted into limits.
In one embodiment, it is also proposed that the transform mode of another term vector, as shown in figure 5, in step S211, i.e.,
To the working report corpus carry out term vector conversion, with obtain the corresponding working report corpus word of the working report corpus to
Sequence is measured, is specifically comprised the following steps:
S2111: it is effective that as word segmentation processing the corresponding corpus of the working report corpus is obtained to the working report corpus
Word sequence.
S2112: the part of speech and corresponding word that each corpus of the effective word sequence of working report corpus segments are determined
It is long.
S2113: each corpus is segmented into corresponding part of speech respectively and word length is converted into part of speech vector and word is long
Vector.
S2114: the content characteristic of each corpus participle is determined, and the content characteristic that the corpus is segmented is as institute
The content vector of predicate material participle.
S2115: the work is combined by content vector, part of speech vector and the word long vector of each corpus participle
Report the corresponding working report corpus sequence vector of corpus.
For step S2111-S2114, it will be understood that wherein, participle be a continuous character string is cut into it is more
The process of a individual character or character string.Part of speech (POS, Part of speech) is to reflect the affiliated type of content of word
Data.Part of speech includes 12 kinds of parts of speech such as adjective, preposition, predicate and noun.Word length is the quantity for the character that word is included.Word
Property and word length can largely influence semantic meaning, for example natural person's habit is paused longer time after predicate, Huo Zhe
Pause longer time etc. after the long longer word of word.
Specifically, server can be used preset participle mode and carry out word segmentation processing to working report corpus, obtain multiple
Character perhaps character string and stop the processing such as word to above-mentioned multiple characters or character string, treated character or
Person's character string forms the corresponding language of the working report corpus according to the sequencing occurred in each comfortable working report corpus
Expect effective word sequence.Server can determine that each corpus segments corresponding part of speech in the effective word sequence of corpus further according to vocabulary, and
It is long to count the corresponding word of each corpus participle.Wherein, preset participle mode can be based on character match, based on semantic understanding or
Participle mode of the person based on statistics.The settable long threshold value of word for segmenting obtained each corpus participle of server, so that corpus is effective
The word for each corpus participle that word sequence obtains is long to be no more than the long threshold value of word.
Specifically, server can preset coding mode, and part of speech is encoded to part of speech vector by the coding mode,
It is word long vector by word long codes.Then it is right content vector, part of speech vector sum word long vector to be combined to obtain corresponding words institute
The term vector answered obtains term vector sequence.Wherein, coding mode such as One-Hot coding or integer coding etc..Content to
Amount, the mode of part of speech vector sum word long vector combination can be direct splicing or pass through link vector and splice indirectly.
For example, assume that the type of part of speech shares 4 kinds, respectively noun, verb, adjective and adverbial word, then its One-
Hot coding is respectively as follows: [1,0,0,0], [0,1,0,0], [0,0,1,0], [0,0,0,1].That is noun, verb, describe
The part of speech vector that word and adverbial word are respectively mapped as is [1,0,0,0], [0,1,0,0], [0,0,1,0], [0,0,0,1].Service
The settable participle of device obtains the long threshold value of word of corpus participle.The long threshold value of suppositive is 10, then the One-Hot of the word of word a length of 1
It encodes (word long vector) are as follows: [1,0,0,0,0,0,0,0,0,0], the coding (word long vector) of the word of word a length of 2 are as follows: [0,1,0,
0,0,0,0,0,0,0], and so on.Assuming that the content vector of corpus participle " sale " is [1,0,1,0,0,1,0,1,0,0],
Part of speech vector is [1,0,0,0], and word long vector is [0,1,0,0,0,0,0,0,0,0], then the term vector of corpus participle is
By [1,0,1,0,0,1,0,1,0,0], [1,0,0,0] and [0,1,0,0,0,0,0,0,0,0] direct splicing obtain [1,0,1,
0,0,1,0,1,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0].It should be noted that above-mentioned example only to facilitate
Understand exemplary illustration made by the embodiment of the present invention, is not that embodiment constitutes restriction to the present invention.
Further, content characteristic, part of speech and the word that server is segmented further according to each corpus are long, by the corpus term vector
Change, obtain the corpus and segment corresponding part of speech vector, word long vector and content vector, by the content of each participle to
Amount, part of speech vector and word long vector are combined to obtain the corresponding working report corpus vector sequence of the working report corpus
Column.Wherein, server can use default term vector converting algorithm and convert term vector, such as word2vec for word, here not
It limits.
In one embodiment, as shown in fig. 6, in step S212, i.e., described that each described default post capability is needed respectively
The initial description information of the ability asked carries out term vector conversion, is initially retouched with obtaining the ability of each initial description information of the ability
Information vector sequence is stated, is specifically comprised the following steps:
S2121: word segmentation processing is made to obtain the initial description information of ability of each default post capability demand respectively
To the effective word sequence of the corresponding initial description information of ability of the initial description information of the multiple ability.
S2122: determine the effective word sequence of each initial description information of the ability each description participle part of speech and
Corresponding word is long.
S2123: each description is segmented into corresponding part of speech respectively and word length is converted into part of speech vector and word is long
Vector.
S2124: the content characteristic of each description participle is determined, and using the content characteristic of the description participle as institute
State the content vector of description participle.
S2125: by content vector to the corresponding each description participle of each initial description information of ability,
Part of speech vector and word long vector combine the corresponding initial description information vector sequence of ability of each initial description information of ability
Column, to obtain the initial description information sequence vector of ability of each initial description information of the ability.
It should be noted that can correspond to step S2121-S2125 refering to aforementioned acquisition working report corpus vector sequence
The mode of column does not repeat to repeat here.
In one embodiment, in step S23, that is, the working report corpus sequence vector and each energy are calculated separately
The similarity of the initial description information sequence vector of power, in particular to:
The working report corpus sequence vector is calculated separately by following formula initially to describe to believe with each ability
Cease the similarity of sequence vector:
Wherein, the A indicates the working report corpus sequence vector, described | | A | | indicate the working report corpus
Two norms of sequence vector, the B indicates the initial description information sequence vector of ability, described | | B | | indicate the ability
Described in two norms of initial description information sequence vectorThe δ (A, B) indicates the working report corpus
Similarity between sequence vector and the initial description information sequence vector of the ability.
In one embodiment, the working report corpus sequence vector is calculated separately initially to describe to believe with each ability
Cease sequence vector similarity, in particular to:
The working report corpus sequence vector is calculated separately by following formula initially to describe to believe with each ability
Cease the similarity of sequence vector:
Wherein, the A indicates that the working report corpus sequence vector, the B indicate the initial description information of ability
Sequence vector, the A=[a1,a2,...,an], B=[b1,b2,...,bn], the δ (A, B) indicates the working report corpus
Similarity between sequence vector and the initial description information sequence vector of the ability.
In one embodiment, as shown in fig. 7, in step S21, that is, determine that the working report corpus is default with each respectively
The degree of correlation of the initial description information of the ability of post capability demand, specifically comprises the following steps:
S21`: term vector conversion is carried out to the working report corpus, to obtain the corresponding work of the working report corpus
Make to report corpus sequence vector.
Specifically, if working report corpus is voice data form, working report corpus can be subjected to text conversion, from
The answer text obtained to conversion segments, and obtains composition and answers each participle of text, then by each term vector, obtains each point
The corresponding term vector of word, to obtain working report corpus sequence vector.If the working report corpus got has been
Form of textual data then directly segments working report corpus, obtain composition answer text each participle, then by each word to
Quantization obtains each corresponding term vector of participle, to obtain working report corpus sequence vector.Working report corpus vector
Sequence includes each term vector that each term vector of working report corpus obtains.The sequencing of each term vector exists with corresponding word
The sequencing occurred in working report corpus is consistent.It is appreciated that word corresponding to the word most started in working report corpus
Sequence of the vector in working report corpus term vector sequence is near preceding.
S22`: carrying out term vector conversion to the initial description information of the corresponding ability of the multiple default post capability respectively,
To obtain the corresponding initial description information sequence vector of ability of each initial description information of the ability.
Similarly, can the initial description information of ability respectively to the multiple default post capability carry out term vector conversion, with
Obtain the corresponding initial description information sequence vector of ability of each default post capability.Illustratively, if multiple pre- post a sentry
Capability normalization factor includes including communication capability, to customer first ability, executive capability, ability of bearing hardships and successfully thirsts for energy
Power, then respectively by communication capability son, to customer first ability, executive capability, ability of bearing hardships and successfully thirst for ability ability
Initial description information carries out term vector conversion, with obtain the corresponding initial description information of ability of each default post capability to
Measure sequence.
S23`: the working report corpus sequence vector and multiple initial description information sequence vectors of the ability are inputted
In default NPL model, to obtain degree of correlation of the working report corpus respectively with multiple default post capabilities.
Wherein, which is to be obtained according to following steps training:
Obtain history working report corpus sample set；
For the corresponding working report corpus of each working report corpus sample in the working report corpus sample set
Sequence vector is associated mark to ability description sequence vector corresponding with the ability description in multiple default posies；
The working report corpus sample set for having carried out the mark is inputted into initial NPL model as training data,
To train the default NPL model.Particularly with regard to the training process of model, it is not unfolded to describe here.
In one embodiment, as shown in figure 8, this method is also wrapped after step S50: " namely it is described according to the comprehensive energy
The final description information in the post in the post is determined in power scoring and the marking, is specifically comprised the following steps:
S60: if ability integration scoring is less than default ability score value, and performance marking is greater than default marking point
Value, it is determined that the degree of correlation between each ability description in the working report corpus and ability description library；By the energy
Power describes in library, and the degree of correlation between each ability description in the working report corpus and ability description library is greater than or waits
It is described in the ability description of default relevance threshold as target capability；The target capability is described final as the post
Description information.
S70: if ability integration scoring is greater than or equal to default ability score value, and performance marking is greater than or equal to
The default marking score value, then using the initial description information in the post as the final description information in the post.
S80: if ability integration scoring is less than default ability score value, and performance marking is less than the default marking
Score value, then using the initial description information in the post as the final description information in the post.
It should be noted that determining the phase between the working report corpus and each ability description in ability description library
The concrete mode of pass degree can correspond to the energy mutually reported in corpus and the initial description information in post refering to previously described calculating work
The mode of the degree of correlation of the initial description information of power, is specifically not repeated herein and repeats.
It can be seen that 4 kinds of situations that the embodiment of the present invention scores according to achievement and integration capability, correspondence propose 4 kinds of institutes
It states integration capability scoring and described give a mark determines the mode of the final description information in the post in the post, improve scheme
Exploitativeness, can score according to the integration capability and the marking adjusts positions demand, play the mesh of optimization positions demand,
Solving many post capability demands is all objectively customized by recruiter and the actual demand ability that does not meet post ask
Topic.
In one embodiment, if the scoring of ability integration ability is greater than default ability score value, and the marking is less than default beat
Divide score value, then the target is preset into post capability and score corresponding training course as the training course of the employee.Specifically
The target is preset post capability and scores corresponding training course as the training course of the employee by ground, can be from default
Target is chosen in training course and presets training course of the corresponding training course of post capability as the employee, and the present invention is implemented
It is the training courses such as video and audio, the books collected in advance that training course library is preset in example, wherein includes from default training course library
Various training course that can be used for improving above-mentioned default post capability, wherein it is different according to training purpose, to training course
It is classified, such as communication capability, to customer first ability, executive capability, ability of bearing hardships and successfully thirst for ability
The training course classified.
After determining that target presets post capability, determine to preset with for improving target from default training course library
The corresponding target training course of post capability recommends target training course to start-up so as to subsequent.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In one embodiment, a kind of processing unit of post capability description, the processing unit of post capability description are provided
It is corresponded with information processing method in above-described embodiment.As shown in figure 9, the processing unit 10 of post capability description includes the
One, which obtains module 101, the first determining module 102, the second determining module 103, second, obtains module 104 and third determining module
105.Detailed description are as follows for each functional module:
First obtains module 101, for obtaining the working report corpus of target employee on post and the hilllock in the post
The initial description information in position, at the beginning of the initial description information in post includes the ability of each default post capability demand in the post
Beginning description information；
First determining module 102, for obtaining the working report corpus and institute that module 101 obtains according to described first
State the ability scoring that the initial description information of ability determines each default post capability；
Second determining module 103, for each default post capability described in first determining module 102 determination
Ability scoring is added up to obtain ability integration scoring；
Second obtains module 104, gives a mark for obtaining reviewer for the performance of the target employee；
Third determining module 105, if being greater than default ability score value for ability integration scoring, and the performance is given a mark
Less than default marking score value, it is determined that the target that output capacity scoring is greater than default scoring presets post capability；At the beginning of the post
The target is rejected in beginning description information presets the initial description information of the corresponding ability of post capability, it will be after the rejecting
The initial description information in post is as the final description information in the post.
In one embodiment, third determining module is specifically used for:
Determine the scoring comparison result between the integration capability scoring and the marking；
If the scoring comparison result indicates that the integration capability scoring is greater than or equal to default ability score value, and described beats
Divide and be greater than or equal to default marking score value, then using the initial description information in the post as the final description information in the post；
If the scoring comparison result indicates that the integration capability scoring is greater than or equal to the default ability score value, and institute
It states marking and is less than the default marking score value, then it is small according to determining to score in the ability scoring of each default post capability
Post capability is preset in the target of default scoring；The target is rejected from the initial description information in the post presets post capability
The corresponding initial description information of ability, the initial description information in the post after the rejecting is final as the post
Description information；
If the scoring comparison result indicates that the ability scoring is lower than the default ability score value, and the marking is higher than
Or it is equal to the default marking score value, it is determined that between each ability description in the working report corpus and ability description library
Degree of correlation；By in the ability description library, each ability description in the working report corpus and ability description library it
Between degree of correlation be greater than or equal to the ability description of default relevance threshold as target capability description；By the target capability
Description is used as the final description information in the post.
If the scoring comparison result indicates that the ability scoring is less than the default ability score value, and the marking is less than
The default marking score value is then finally retouched the initial description information in the post as the post of the default post capability demand
State information.
In one embodiment, the first determining module, comprising:
First determination unit, the ability for presetting post capability demand with each respectively for determining the working report corpus
The degree of correlation of initial description information；
Second determination unit, the ability for presetting post capability demand with each respectively according to the working report corpus are initial
The degree of correlation of description information determines the ability scoring of each default post capability of the employee respectively.
In one embodiment, the second determination unit is specifically used for:
Term vector conversion is carried out to the working report corpus, to obtain the corresponding working report of the working report corpus
Corpus sequence vector；
Term vector conversion is carried out the initial description information of the ability of each default post capability demand respectively, to obtain
The initial description information sequence vector of ability of each initial description information of the ability；
Calculate separately the working report corpus sequence vector and each initial description information sequence vector of ability
Similarity, to determine the initial description information of ability that the working report corpus presets post capability demand with each respectively
Degree of correlation.
In one embodiment, the second determination unit is used to carry out term vector conversion to the working report corpus, to obtain
The corresponding working report corpus term vector sequence of the working report corpus, comprising:
Second determination unit is used for:
The corresponding effective word sequence of corpus of the working report corpus is obtained as word segmentation processing to the working report corpus；
Determine that part of speech and the corresponding word of each corpus participle of the effective word sequence of the corpus are long；
Each corpus is segmented into corresponding part of speech respectively and word length is converted into part of speech vector and word long vector；
Determine the content characteristic of each corpus participle, and the content characteristic that the corpus is segmented is as the corpus
The content vector of participle；
The working report language is combined by content vector, part of speech vector and the word long vector of each corpus participle
Expect corresponding working report corpus sequence vector；
Second determination unit is for respectively carrying out the initial description information of the ability of each default post capability demand
Term vector conversion, to obtain the initial description information sequence vector of ability of each initial description information of the ability, comprising:
Second determination unit is used for:
Word segmentation processing is made the initial description information of ability of each default post capability demand respectively with described in obtaining
The effective word sequence of multiple corresponding initial description informations of ability of the initial description information of ability；
Determine the part of speech and corresponding of each description participle of the effective word sequence of each initial description information of the ability
Word is long；
Each description is segmented into corresponding part of speech respectively and word length is converted into part of speech vector and word long vector；
Determine the content characteristic of each description participle, and using the content characteristic of the description participle as the description
The content vector of participle；
By content vector to the corresponding each description participle of each initial description information of ability, part of speech to
Amount and word long vector combine the corresponding initial description information sequence vector of ability of each initial description information of ability, with
To the initial description information sequence vector of ability of each initial description information of ability.
In one embodiment, the second determination unit is for calculating separately the working report corpus sequence vector and each institute
State the similarity of the initial description information sequence vector of ability, comprising:
Second determination unit is used for:
The working report corpus sequence vector is calculated separately by following formula initially to describe to believe with each ability
Cease the similarity of sequence vector:
Wherein, the A indicates the working report corpus sequence vector, described | | A | | indicate the working report corpus
Two norms of sequence vector, the B indicates the initial description information sequence vector of ability, described | | B | | indicate the ability
Described in two norms of initial description information sequence vectorThe δ (A, B) indicate the working report corpus to
Measure the similarity between sequence and the initial description information sequence vector of the ability.
In one embodiment, third determining module is also used to: if the scoring comparison result indicates that the integration capability is commented
Divide and be greater than or equal to default ability score value, and the target is then preset post capability less than marking score value is preset by the marking
Score training course of the corresponding training course as the employee.
The specific restriction of processing unit about post capability description may refer to above for information processing method
It limits, details are not described herein.Modules in the processing unit of above-mentioned post capability description can fully or partially through software,
Hardware and combinations thereof is realized.Above-mentioned each module can be embedded in the form of hardware or independently of the processor in computer equipment
In, it can also be stored in a software form in the memory in computer equipment, in order to which processor calls execution above each
The corresponding operation of module.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 10.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is used for working report corpus.The network interface of the computer equipment is used to pass through network with external terminal
Connection communication.To realize a kind of information processing method when the computer program is executed by processor.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor perform the steps of when executing computer program
The initial description information in post of the working report corpus and the post of target employee on post is obtained, it is described
The initial description information in post includes the initial description information of ability of each default post capability demand in the post；
Each default post capability is determined according to the working report corpus and the initial description information of the ability
Ability scoring；
The ability scoring of each default post capability is added up to obtain ability integration scoring；
The performance that reviewer is obtained for the target employee is given a mark；
If the ability integration scoring is greater than default ability score value, and performance marking is less than default marking score value, then
Determine that output capacity scoring is greater than the default post capability of target of default scoring；Described in being rejected from the initial description information in the post
Target presets the initial description information of the corresponding ability of post capability, by the initial description information in the post after the rejecting
As the final description information in the post.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
The initial description information in post of the working report corpus and the post of target employee on post is obtained, it is described
The initial description information in post includes the initial description information of ability of each default post capability demand in the post；
Each default post capability is determined according to the working report corpus and the initial description information of the ability
Ability scoring；
The ability scoring of each default post capability is added up to obtain ability integration scoring；
The performance that reviewer is obtained for the target employee is given a mark；
If the ability integration scoring is greater than default ability score value, and performance marking is less than default marking score value, then
Determine that output capacity scoring is greater than the default post capability of target of default scoring；Described in being rejected from the initial description information in the post
Target presets the initial description information of the corresponding ability of post capability, by the initial description information in the post after the rejecting
As the final description information in the post.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided by the present invention,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of information processing method characterized by comprising
Obtain the initial description information in post of the working report corpus and the post of target employee on post, the post
Initial description information includes the initial description information of ability of each default post capability demand in the post；
The ability of each default post capability is determined according to the working report corpus and the initial description information of the ability
Scoring；
The ability scoring of each default post capability is added up to obtain ability integration scoring；
The performance that reviewer is obtained for the target employee is given a mark；
If the ability integration scoring is greater than default ability score value, and performance marking is less than default marking score value, it is determined that
The target that output capacity scoring is greater than default scoring presets post capability；The target is rejected from the initial description information in the post
The default initial description information of the corresponding ability of post capability, using the initial description information in the post after the rejecting as
The final description information in post.
2. information processing method as described in claim 1, which is characterized in that
If the ability integration scoring is less than default ability score value, and performance marking is greater than default marking score value, it is determined that
The degree of correlation between each ability description in the working report corpus and ability description library；By the ability description library
In, the degree of correlation between the working report corpus and each ability description in ability description library is greater than or equal to default phase
The ability description of pass degree threshold value is described as target capability；The target capability is described finally to describe to believe as the post
Breath；
If the ability integration scoring is greater than or equal to default ability score value, and performance marking is default more than or equal to described
Marking score value, then using the initial description information in the post as the final description information in the post；
If the ability integration scoring is less than default ability score value, and performance marking is less than the default marking score value, then
Using the initial description information in the post as the final description information in the post.
3. information processing method as described in claim 1, which is characterized in that it is described according to the working report corpus with it is described
The initial description information of ability determines the ability scoring of each default post capability of the employee, comprising:
Determine the working report corpus respectively to the related journey of the initial description information of the ability that each presets post capability demand
Degree；
According to the working report corpus respectively to the related journey of the initial description information of the ability that each presets post capability demand
Degree determines the ability scoring of each default post capability of the employee respectively.
4. information processing method as claimed in claim 3, which is characterized in that the determination working report corpus respectively with
The degree of correlation of the initial description information of ability of each default post capability demand, comprising:
Term vector conversion is carried out to the working report corpus, to obtain the corresponding working report corpus of the working report corpus
Sequence vector；
Term vector conversion is carried out the initial description information of the ability of each default post capability demand respectively, it is each to obtain
The initial description information sequence vector of ability of the initial description information of ability；
It is similar to each initial description information sequence vector of ability to calculate separately the working report corpus sequence vector
Degree, to determine that the working report corpus is related to the initial description information of the ability that each presets post capability demand respectively
Degree.
5. information processing method as claimed in claim 3, which is characterized in that it is described to the working report corpus carry out word to
Amount conversion, to obtain the corresponding working report corpus term vector sequence of the working report corpus, comprising:
The corresponding effective word sequence of corpus of the working report corpus is obtained as word segmentation processing to the working report corpus；
Determine that part of speech and the corresponding word of each corpus participle of the effective word sequence of the corpus are long；
Each corpus is segmented into corresponding part of speech respectively and word length is converted into part of speech vector and word long vector；
Determine the content characteristic of each corpus participle, and the content characteristic that the corpus is segmented is segmented as the corpus
Content vector；
The working report corpus pair is combined by content vector, part of speech vector and the word long vector of each corpus participle
The working report corpus sequence vector answered；
It is described that term vector conversion is carried out the initial description information of the ability of each default post capability demand respectively, to obtain
The initial description information sequence vector of ability of each initial description information of the ability, comprising:
Word segmentation processing is made the initial description information of ability of each default post capability demand respectively, it is each described to obtain
The effective word sequence of the initial description information of the corresponding ability of the initial description information of ability；
Determine that part of speech and the corresponding word of each description participle of the effective word sequence of each initial description information of the ability are long；
Each description is segmented into corresponding part of speech respectively and word length is converted into part of speech vector and word long vector；
It determines the content characteristic of each description participle, and the content characteristic of the description participle is segmented as the description
Content vector；
By content vector to the corresponding each description participle of each initial description information of ability, part of speech vector with
And word long vector combines the corresponding initial description information sequence vector of ability of each initial description information of ability, it is every to obtain
The initial description information sequence vector of ability of a initial description information of the ability.
6. information processing method as claimed in claim 5, which is characterized in that it is described calculate separately the working report corpus to
Measure the similarity of sequence and each initial description information sequence vector of ability, comprising:
By following formula calculate separately the working report corpus sequence vector and each initial description information of ability to
Measure the similarity of sequence:
Wherein, the A indicates the working report corpus sequence vector, described | | A | | indicate the working report corpus vector
Two norms of sequence, the B indicates the initial description information sequence vector of ability, described | | B | | indicate that the ability is initial
Described in two norms of description information sequence vectorThe δ (A, B) indicates the working report corpus vector
Similarity between sequence and the initial description information sequence vector of the ability.
7. a kind of information processing unit characterized by comprising
First obtain module, for obtain target employee on post working report corpus and the post post it is initial
Description information, the initial description information in post include that the ability of each default post capability demand in the post initially describes
Information；
First determining module, the working report corpus and the ability for obtaining module acquisition according to described first are initial
Description information determines the ability scoring of each default post capability；
Second determining module, ability for each default post capability described in being determined to first determining module score into
Row is cumulative to obtain ability integration scoring；
Second obtains module, gives a mark for obtaining reviewer for the performance of the target employee；
Third determining module is greater than default ability score value if scoring for the ability integration, and performance marking is less than in advance
If giving a mark score value, it is determined that the target that output capacity scoring is greater than default scoring presets post capability；It is initially described from the post
The target is rejected in information and presets the initial description information of the corresponding ability of post capability, by the hilllock after the rejecting
The initial description information in position is as the final description information in the post.
8. information processing unit as claimed in claim 7, which is characterized in that the third determining module is also used to:
If the ability integration scoring is less than default ability score value, and performance marking is greater than default marking score value, it is determined that
The degree of correlation between each ability description in the working report corpus and ability description library；By the ability description library
In, the degree of correlation between the working report corpus and each ability description in ability description library is greater than or equal to default phase
The ability description of pass degree threshold value is described as target capability；The target capability is described finally to describe to believe as the post
Breath；
If the ability integration scoring is greater than or equal to default ability score value, and performance marking is default more than or equal to described
Marking score value, then using the initial description information in the post as the final description information in the post；
If the ability integration scoring is less than default ability score value, and performance marking is less than the default marking score value, then
Using the initial description information in the post as the final description information in the post.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
6 described in any item information processing methods.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization such as information processing method as claimed in any one of claims 1 to 6 when the computer program is executed by processor.
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