CN107967592A - The aid in treatment method and device of job notice - Google Patents
The aid in treatment method and device of job notice Download PDFInfo
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- CN107967592A CN107967592A CN201710947298.0A CN201710947298A CN107967592A CN 107967592 A CN107967592 A CN 107967592A CN 201710947298 A CN201710947298 A CN 201710947298A CN 107967592 A CN107967592 A CN 107967592A
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Abstract
An embodiment of the present invention provides a kind of aid in treatment method and device of job notice, wherein method includes：Obtain the recruitment demand information of recruitment person's input；According to recruitment demand information, the recruitment content information that extraction matches with the recruitment demand information from announced job notice；The recruitment content information to match is supplied to recruitment person.The aid in treatment method and device of the job notice of the embodiment of the present invention, the recruitment demand information inputted according to recruitment person, recruitment content information is obtained from announced job notice, so that recruitment person refers to, take full advantage of the big data of the existing recruitment information of recruitment platform, the difficulty that recruitment person writes job notice is reduced, improves the formation efficiency and specialty degree of job notice.
Description
Technical field
The present embodiments relate to a kind of aid in treatment method and device of job notice, belong to field of computer technology.
Background technology
In existing recruitment platform, the job notice of recruitment person's issue is all that their own is write, in the process write
In, since recruitment person is not to be well aware of for the position to be recruited, or even if understanding, it is suitable also sometimes to be difficult to write out
Job notice, so as to cause very big puzzlement to recruitment person, and many job notices are also due to that writes is not professional enough
And cause engagement efficiency very low.
The content of the invention
The embodiment of the present invention provides a kind of aid in treatment method and device of job notice, to aid in recruitment person to generate recruitment
Notice, improves the formation efficiency and specialty degree of job notice.
An embodiment of the present invention provides a kind of aid in treatment method of job notice, including：
Obtain the recruitment demand information of recruitment person's input；
According to the recruitment demand information, extraction and the recruitment demand information from announced job notice
The recruitment content information to match；
The recruitment content information to match is supplied to the recruitment person.
The embodiment of the present invention additionally provides a kind of Auxiliary Processing Unit of job notice, including：
Recruitment demand information acquisition module, for obtaining the recruitment demand information of recruitment person's input；
Content information extraction module is recruited, for according to the recruitment demand information, from announced job notice
The recruitment content information that middle extraction matches with the recruitment demand information；
Content information output module is recruited, the recruitment person is supplied to for the recruitment content information to match.
The aid in treatment method and device of the job notice of the embodiment of the present invention, the recruitment need inputted according to recruitment person
Information is sought, recruitment content information is obtained from announced job notice, so that recruitment person refers to, takes full advantage of recruitment platform
The big data of existing recruitment information, reduces recruitment person to write the difficulty of job notice, improves the generation of job notice
Efficiency and specialty degree.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of specification, and in order to allow above and other objects of the present invention, feature and advantage can
Become apparent, below especially exemplified by the embodiment of the present invention.
Brief description of the drawings
Fig. 1 is one of flow diagram of aid in treatment method of job notice of the embodiment of the present invention；
Fig. 2 is the two of the flow diagram of the aid in treatment method of the job notice of the embodiment of the present invention；
Fig. 3 is the three of the flow diagram of the aid in treatment method of the job notice of the embodiment of the present invention；
Fig. 4 is the tree schematic diagram of the job notice of the embodiment of the present invention；
Fig. 5 is one of structure diagram of Auxiliary Processing Unit of job notice of the embodiment of the present invention；
Fig. 6 is the second structural representation of the Auxiliary Processing Unit of the job notice of the embodiment of the present invention.
Embodiment
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although the disclosure is shown in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
Limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
It can be applied in the technical solution of the embodiment of the present invention on large-scale recruitment platform, recruitment person and job hunter can
With the login account on the recruitment platform, recruitment person can issue various job notices on the recruitment platform, and recruitment platform can
To get the data of the issued job notice of the recruitment person of magnanimity, and formed using these data to other recruitment persons
Help information.
The technical principle of the embodiment of the present invention is, inputs recruitment requirements based on recruitment person, recruitment platform is according to
The a large amount of job notices having, extract the recruitment content information for meeting the recruitment requirements, are recruited so as to aid in recruitment person to generate
Engage notice.In terms of content information is recruited in extraction, job notice can be decomposed into multiple content elements by recruitment platform in advance, so
Organized together afterwards by default tree data structure, that is to say, that on recruitment platform, job notice is according to default
What data structure was formed and stored, feature extraction that so can be in order to after and information compare.Based on such data structure, go back
Recruitment person can be progressively aided in generate complete job notice by way of being interacted with recruitment person, so as to reduce recruitment
Person also can more accurately provide rational recruitment content to write the difficulty of job notice so that generation
Job notice is more in line with the demand of recruitment person.
Embodiment one
As shown in Figure 1, it is one of flow diagram of aid in treatment method of job notice of the embodiment of the present invention, bag
Include：
S101：Obtain the recruitment demand information of recruitment person's input.Wherein, the recruitment demand information in this step
Can be the basic recruitment demand information for including key message, for example, generally may be used as basic recruitment demand information
With including position title information and/or wages treatment information, from the point of view of actual recruitment, the two information should be the most
Basic information.Certainly, recruitment person can also input more detailed recruitment demand information, for example, length of service,
Technical ability go through, possessed etc..In short, the recruitment demand information inputted in the step is matched as follow-up searching
Recruit the preliminary information basis of content information.
S102：According to recruitment demand information, extraction and recruitment demand letter from announced job notice
The matched recruitment content information of manner of breathing.Here recruitment content information can be complete job notice or recruitment is opened
Partial information in thing.
S103：The recruitment content information to match is supplied to recruitment person.Here it is supplied to the recruitment content of recruitment person to believe
Breath can be the partial information in complete job notice or job notice, and recruitment person can use the recruitment obtained
Content information is referred to, to generate the job notice of oneself.Certainly, recruitment platform can also be by the multinomial recruitment content of acquisition
Information directly generates a complete recruitment resume and is presented to recruitment person.
In above-mentioned step S102, it can specifically be believed by the following two kinds mode to realize according to recruitment demand
Breath finds the recruitment content information to match.
Mode one：Characteristic matching is carried out by recruitment needs information, is extracted from the job notice of magnanimity suitable
Recruit content information.For this kind of mode, it is preferable that recruitment demand information can include more features as far as possible,
So as to preferably filter out the recruitment content information to match.Specifically, following processing step can be included：
S1021：Feature extraction is carried out to recruitment demand information, generates first eigenvector, first eigenvector bag
Include multiple position demand characteristic labels.
S1022：Feature extraction is carried out to announced job notice, generates multiple second feature vector, second feature to
Amount includes multiple position content characteristic labels.
In embodiments of the present invention, in order to preferably carry out the extraction of feature vector, job notice can be divided into more
A content element, the second feature vector of job notice can be by forming the corresponding position of each content element of the job notice
Content characteristic label forms in a certain order.Content element can divide very thin, so that each content element pair
The position content characteristic label answered can be more accurate, and the feature tag for forming whole job notice also can be enough, so that more
Add the global feature for comprehensively embodying the job notice.For example, a job notice can be divided into " position vacant name
Claim ", " position requested knowledge ", " position skill set requirements ", " position educational requirement ", " position skill requirement ", " position wages are treated
Multiple content elements such as chance ", " position action ".Based on the division of above-mentioned content element, recruitment platform can be very convenient
Ground carries out feature extraction processing.
It should be noted that step S1022 and S1021 and S101 has no strict sequence, can be with any
Order successively perform, can also synchronously perform.In practical applications, more preferably, to issued recruitment
Notice carries out prior feature extraction, to generate above-mentioned second feature vector and be stored, when treating in need at any time
It is called.When there is new job notice issue, just to the job notice progress feature extraction of the new issue, new the is generated
Two feature vectors are simultaneously added to database so that are stored with announced trick all in current recruitment platform in database all the time
The second feature vector of notice is engaged, in addition, when being updated by job notice, extracting again for feature vector can also be triggered
Journey, so as to update the corresponding second feature vector of the job notice.
S1023：First eigenvector is compared with multiple second feature vectors, selects matching degree to be more than default first
The recruitment content information included in one or more job notices of threshold value is as the recruitment content information to match.In the step
In, it is specifically close to select the job notice with recruitment demand information relatively by the contrast of feature vector
Standard can be that the characteristic element of hit is most, and characteristic element mentioned here refers to the least unit of constitutive characteristic vector, can
To be the feature tag above said.Above-mentioned first threshold can flexibly be set according to actual needs.
In addition, in order to filter out the more anxious recruitment content for meeting recruitment person's demand, enterprise's characteristic information can also be made tranquil
It is incorporated into screening process.Specifically, can be preset the corresponding first enterprise characteristic information of recruitment person and matching degree are more than
The corresponding second enterprise characteristic information of job notice of first threshold is compared, and selects similarity to be more than default second threshold
The recruitment content information included in job notice is as the recruitment content information to match.Sieve is participated in by introducing industry characteristic information
Choosing compares, and the recruitment of the more matched enterprise's issue of each side such as property, scale, industry with recruitment person enterprise can be selected to open
Thing extracts recruitment content information, so that recruitment can be more in line with by being supplied to the recruitment content information of recruitment person
The actual demand of person.
In the processing of above-mentioned mode one, it is only necessary to which recruitment person disposably inputs recruitment demand information, recruitment
Platform directly finds corresponding recruitment content information, in this process, the ginseng without recruitment person according to recruitment demand information
With it is relatively simple for recruitment person.This method needs recruitment person to input recruitment demand information as much as possible, from
And it can help to find the high recruitment content information of matching degree.
Mode two：With by way of the interacting of recruitment person, progressively extracting recruitment content information.
Since demand understanding of the recruitment person sometimes for recruitment is not very definite, and its intention is only defeated by starting
The recruitment demand information entered be also description can not accurate description, in this case, certain dynamic interaction can be passed through
Progressively to be excavated to recruitment demand information, also position is progressively being extracted while recruitment demand information is excavated
Recruit content information.
As previously mentioned, job notice can be divided into multiple content elements, and multiple default content elements can be with
Organized together by default tree data structure.In the present embodiment, the content element of the root node of tree can be with
It is arranged to the basic position demand information of storage job notice.Basic position demand information may be considered to position demand most
Simple description, the position title information and/or wages treatment information of example as previously noted.Based on the basic position demand information just
It can be interacted according to above-mentioned tree with recruitment person, with successively clear and definite recruitment needs and obtain recruitment content letter
Breath.
Specifically, in the case of mode two, in step S101, the recruitment demand information for obtaining recruitment person's input can
To be specially the basic recruitment demand information for obtaining recruitment person's input, and the basic recruitment demand information is written to
In the corresponding content element of root node of new job notice to be generated.That is, in step S101, tree
Basic recruitment demand information has been had been written into root node.
Then, in step s 102, according to recruitment demand information, extraction and the duty from announced job notice
The recruitment content information of position recruitment needs information match can include：
S1021’：The basic recruitment demand information that recruitment person is inputted, the basic duty with announced job notice
Position demand information carries out characteristic matching, selects announced multiple job notices that matching degree is more than the 3rd threshold value；
S1022’：The matching degree is obtained more than in the corresponding tree data structure of announced job notice of the 3rd threshold value
Content element information in next node layer, forms multiple content options information as recruitment content information and is supplied to recruitment
Person；
S1023’：According to the selection to content option information of recruitment person, the 3rd threshold value that is more than having been selected is reduced
The scope of announced multiple job notices, and tree type data knot is extracted in one or more job notices after reducing the scope
Content element information in next node layer again in structure, forms as the one or more content options information for recruiting content information
And it is supplied to recruitment person.
Continuous repeat step S1022 ' and step 1023 ' processing procedure, until arrival default tree data structure
Bottom.
The processing procedure of aforesaid way two is further illustrated with reference to Fig. 4.As shown in figure 4, it is the present invention
The tree schematic diagram of the job notice of embodiment.In recruitment platform, job notice is all in accordance with tree-shaped as illustrated in the drawing
Structure is stored into row information, correspondingly, can also be according to the tree-shaped knot shown in figure during new job notice is generated
Structure carries out information exchange with recruitment person.
First, based on basic recruitment demand information, from announced job notice, filter out comprising the basic duty
The issued job notice of position recruitment needs information, as shown in FIG., basic recruitment demand information includes " network
Architecture Engineer " (position title information) and " annual pay 400000 " (wages treatment information) this two parts information, based on this two letters
The combination of breath, preliminary screening go out to meet the job notice of this two standards.Then, from the job notice that these are filtered out, obtain
Corresponding content element information in the content element of " working experience " and " position content " of these job notices is taken, and is based on this
A little content element information form multiple options for " working experience " and " position content ", for recruitment person's selection, are recruiting
After the person of engaging makes choice, then the information based on recruitment person's selection continues to screen job notice, and continues to be supplied to recruitment
Person makes choice, for example, next layer in " working experience " and " position content " shows " once inaugural company ", " undertook
Action ", " structure of knowledge ", " qualifying requirements " etc. into one layer of content element, it is and corresponding based on these content elements
Content element information provides further option to recruitment person.When the selection for the corresponding option of content element for completing the bottom
Afterwards, it is possible to terminate this process, and a preliminary job notice can be formed according to the result that recruitment person selects every time and carried
Supply recruitment person.In above process, the selection for being directed to option every time of recruitment person, equivalent to adding position demand information
Feature, so that the screening scope of the recruitment content information of job notice be diminished, content is also more careful.
It should be noted that in this tree-shaped storage organization, each node layer all to applying corresponding content element, under
One layer of content element is the further refinement to last layer content element.For example, in " working experience " corresponding content element, meeting
Be stored with the recapitulative requirement description such as " having foreign enterprise's working experience " to working experience, " be engaged in network architecture design 5 years with
On " etc., and " the once inaugural company " of next layer of working experience and " action undertaken " they are the descriptions further refined,
Such as require " once in Large-Scale Interconnected net enterprise work " and " design for undertaking large-scale web site architecture ".
In addition, in aforesaid way two, enterprise's characteristic information can also be incorporated into screening process.Specifically, in step
Among rapid S1021 ' or afterwards, the corresponding first enterprise characteristic information of recruitment person and matching degree can be more than default 3rd threshold
The corresponding 3rd enterprise characteristic information of job notice of value is compared, and selects the recruitment that similarity is more than default second threshold to open
Thing carries out the processing of follow-up step S1022 '.
The aid in treatment method of the job notice of the embodiment of the present invention, the recruitment demand inputted according to recruitment person are believed
Breath, obtains recruitment content information from announced job notice, so that recruitment person refers to, takes full advantage of recruitment platform and has
Recruitment information big data, reduce recruitment person in order to write the difficulty of job notice, improve the formation efficiency of job notice
With professional degree.As more preferable mode, job notice is divided into multiple content elements, and these content elements pass through
Tree is stored, so that in job notice screening process is carried out, can successively be carried based on tree to recruitment person
For the option of some recruitment contents, so that the selection based on recruitment person is further screened, so as to ultimately form more
Comprehensive recruitment content information forms a preliminary complete job notice, so that being supplied to the content of recruitment person more
Added with value.In addition, the matching treatment by introducing enterprise characteristic information, can further improve the recruitment for being supplied to recruitment person
The grade of fit of content information.
Embodiment two
As shown in figure 5, it is one of structure diagram of Auxiliary Processing Unit of job notice of the embodiment of the present invention, bag
Include recruitment demand information acquisition module 11, recruitment content information extraction module 12 and recruitment content information output module
13。
Recruitment demand information acquisition module 11, for obtaining the recruitment demand information of recruitment person's input.Wherein,
Recruitment demand information can include position title information and/or wages treatment information.
Content information extraction module 12 is recruited, for according to recruitment demand information, from announced job notice
The recruitment content information that extraction matches with the recruitment demand information.
Content information output module 13 is recruited, the recruitment content information for matching is supplied to recruitment person.
In above-mentioned recruitment content information extraction module 12, according to recruitment demand information, from announced recruitment
The recruitment content information that extraction matches with the recruitment demand information in notice can be by such as one intermediary of preceding embodiment
The two ways to continue is realized to realize.
Mode one：Characteristic matching is carried out by recruitment needs information, is extracted from the job notice of magnanimity suitable
Content information is recruited, specifically, including following processing：
Feature extraction is carried out to recruitment demand information, generates first eigenvector, first eigenvector includes multiple
Position demand characteristic label；
Feature extraction is carried out to announced job notice, generates multiple second feature vectors, second feature vector includes
Multiple position content characteristic labels；
First eigenvector is compared with multiple second feature vectors, selects matching degree to be more than preset first threshold value
The recruitment content information included in one or more job notices is as the recruitment content information to match.
Mode two：With by way of the interacting of recruitment person, progressively extracting recruitment content information.Under mode two,
Job notice includes multiple content elements, and multiple default content elements are organized together by default tree data structure,
The content element of the root node of tree is used for the basic position demand information for storing job notice.
On this basis, in recruitment demand information acquisition module 11, the recruitment demand of recruitment person's input is obtained
The processing of information can include：The basic recruitment demand information of recruitment person's input is obtained, and the basic recruitment is needed
Information is asked to be written in the corresponding content element of root node of new job notice to be generated.
Recruit in content information extraction module 12, according to recruitment demand information, carried from announced job notice
Taking the processing of the recruitment content information to match with the recruitment demand information can include：
The basic recruitment demand information that recruitment person is inputted, believes with the basic position demand of announced job notice
Breath carries out characteristic matching, selects announced multiple job notices that matching degree is more than the 3rd threshold value；
The matching degree is obtained more than next layer in the corresponding tree data structure of announced job notice of the 3rd threshold value
Content element information in node, forms multiple content options information as recruitment content information and is supplied to recruitment person；
According to the selection to content option information of recruitment person, reduce have been selected be more than the announced of the 3rd threshold value
The scope of multiple job notices, and in one or more job notices after reducing the scope extract tree data structure in again under
Content element information in one node layer, forms one or more content options information as recruitment content information and is supplied to
Recruitment person, constantly repeats the processing procedure of this section, until reaching the bottom of default tree data structure.
For aforesaid way one and the processing procedure of mode two, it is described in detail in preceding embodiment one, its
The Auxiliary Processing Unit of the job notice of the present embodiment is equally applicable to, therefore, is repeated no more.
In addition, in aforesaid way one and mode two, enterprise's characteristic information can also be incorporated into screening process.Accordingly
Ground, shown in Fig. 6, it is the second structural representation of the Auxiliary Processing Unit of the job notice of the embodiment of the present invention, can also be wrapped
Include：
Enterprise characteristic comparing module 14, it is default for the corresponding first enterprise characteristic information of recruitment person and matching degree to be more than
The corresponding second enterprise characteristic information of job notice of threshold value (mode one is first threshold, and mode two is the 3rd threshold value) is compared
It is right, select the job notice that similarity is more than default second threshold to carry out subsequent treatment as recruitment content information extraction module 12
Job notice.Explanation on the detailed process of enterprise characteristic comparing module 14 is referred to retouching in embodiment one
State, details are not described herein.
The aid in treatment method and device of the job notice of the embodiment of the present invention, the recruitment need inputted according to recruitment person
Information is sought, recruitment content information is obtained from announced job notice, so that recruitment person refers to, takes full advantage of recruitment platform
The big data of existing recruitment information, reduces recruitment person to write the difficulty of job notice, improves the generation of job notice
Efficiency and specialty degree.
Finally it should be noted that in above-mentioned each embodiment, information exchange is carried out with recruitment person, recruitment person inputs and believes
Cease and provide recruitment content information etc. to recruitment person, it is real that the modes such as the client or webpage of recruitment person interaction can be passed through
It is existing.In addition, each threshold value in above-described embodiment one and embodiment two can also flexibly be set according to being actually needed.Embodiment one
In detailed description for processing procedure can equally be well applied to processing procedure in embodiment two in modules.
One of ordinary skill in the art will appreciate that：Realizing all or part of step of above-mentioned each method embodiment can lead to
The relevant hardware of programmed instruction is crossed to complete.Foregoing program can be stored in a computer read/write memory medium.The journey
Sequence upon execution, execution the step of including above-mentioned each method embodiment；And foregoing storage medium includes：ROM, RAM, magnetic disc or
Person's CD etc. is various can be with the medium of store program codes.
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 described 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 departed from various embodiments of the present invention technology
The scope of scheme.
Claims (10)
1. a kind of aid in treatment method of job notice, it is characterised in that including：
Obtain the recruitment demand information of recruitment person's input；
According to the recruitment demand information, extraction and the recruitment demand information phase from announced job notice
The recruitment content information matched somebody with somebody；
The recruitment content information to match is supplied to the recruitment person.
2. according to the method described in claim 1, it is characterized in that, according to the recruitment demand information, from announced
The recruitment content information to match with the recruitment demand information is extracted in job notice to be included：
Feature extraction is carried out to the recruitment demand information, generates first eigenvector, the first eigenvector includes
Multiple position demand characteristic labels；
Feature extraction is carried out to the announced job notice, generates multiple second feature vectors, the second feature vector
Including multiple position content characteristic labels；
The first eigenvector is compared with the multiple second feature vector, selects matching degree to be more than default first
The recruitment content information that the recruitment content information included in one or more job notices of threshold value matches as described in.
3. according to the method described in claim 2, it is characterized in that, further include：
The corresponding first enterprise characteristic information of the recruitment person and the matching degree are more than to the job notice of preset first threshold value
Corresponding second enterprise characteristic information is compared, and selects similarity to be more than the trick included in the job notice of default second threshold
Engage the recruitment content information that content information matches as described in.
It is 4. described more according to the method described in claim 1, it is characterized in that, the job notice includes multiple content elements
A default content element is organized together by default tree data structure, the content list of the root node of the tree
Member is used for the basic position demand information for storing job notice,
The recruitment demand information for obtaining recruitment person's input includes：Obtain the basic recruitment demand of recruitment person's input
Information, and the corresponding content list of root node that the basic recruitment demand information is written to new job notice to be generated
In member；
It is described according to the recruitment demand information, extraction and the recruitment demand information from announced job notice
The recruitment content information to match includes：
The basic recruitment demand information that the recruitment person is inputted, needs with the basic position of the announced job notice
Ask information to carry out characteristic matching, select announced multiple job notices that matching degree is more than the 3rd threshold value；
The matching degree is obtained more than next layer in the corresponding tree data structure of announced job notice of the 3rd threshold value
Content element information in node, forms multiple content options information as recruitment content information and is supplied to the recruitment
Person；
According to the selection to the content options information of the recruitment person, the hair more than the 3rd threshold value having been selected is reduced
The scope of multiple job notices of cloth, and the tree type data knot is extracted in one or more job notices after reducing the scope
Content element information in next node layer again in structure, forms as the one or more content options information for recruiting content information
And the recruitment person is supplied to, processing procedure described in this paragraph is constantly repeated, until reaching the bottom of default tree data structure
Portion.
5. according to the method described in claim 1, it is characterized in that, the recruitment demand information includes at least position title
Information and/or wages treatment information.
A kind of 6. Auxiliary Processing Unit of job notice, it is characterised in that including：
Recruitment demand information acquisition module, for obtaining the recruitment demand information of recruitment person's input；
Content information extraction module is recruited, for according to the recruitment demand information, being carried from announced job notice
Take the recruitment content information to match with the recruitment demand information；
Content information output module is recruited, the recruitment person is supplied to for the recruitment content information to match.
7. device according to claim 6, it is characterised in that it is described according to the recruitment demand information, from having sent out
The recruitment content information to match with the recruitment demand information is extracted in the job notice of cloth to be included：
Feature extraction is carried out to the recruitment demand information, generates first eigenvector, the first eigenvector includes
Multiple position demand characteristic labels；
Feature extraction is carried out to the announced job notice, generates multiple second feature vectors, the second feature vector
Including multiple position content characteristic labels；
The first eigenvector is compared with the multiple second feature vector, selects matching degree to be more than default first threshold
The recruitment content information that the recruitment content information included in one or more job notices of value matches as described in.
8. device according to claim 7, it is characterised in that further include：
Enterprise characteristic comparing module, it is pre- for the corresponding first enterprise characteristic information of the recruitment person and the matching degree to be more than
If the corresponding second enterprise characteristic information of the job notice of first threshold is compared, similarity is selected to be more than default second threshold
Job notice in the recruitment content information that matches as described in of the recruitment content information that includes.
9. device according to claim 6, it is characterised in that the job notice includes multiple content elements, described more
A default content element is organized together by default tree data structure, the content list of the root node of the tree
Member is used for the basic position demand information for storing job notice,
The recruitment demand information for obtaining recruitment person's input includes：Obtain the basic recruitment demand of recruitment person's input
Information, and the corresponding content list of root node that the basic recruitment demand information is written to new job notice to be generated
In member；
It is described according to the recruitment demand information, extraction and the recruitment demand information from announced job notice
The recruitment content information to match includes：
The basic recruitment demand information that the recruitment person is inputted, needs with the basic position of the announced job notice
Ask information to carry out characteristic matching, select announced multiple job notices that matching degree is more than the 3rd threshold value；
The matching degree is obtained more than next layer in the corresponding tree data structure of announced job notice of the 3rd threshold value
Content element information in node, forms multiple content options information as recruitment content information and is supplied to the recruitment
Person；
According to the selection to the content options information of the recruitment person, the hair more than the 3rd threshold value having been selected is reduced
The scope of multiple job notices of cloth, and the tree type data knot is extracted in one or more job notices after reducing the scope
Content element information in next node layer again in structure, forms as the one or more content options information for recruiting content information
And the recruitment person is supplied to, processing procedure described in this paragraph is constantly repeated, until reaching the bottom of default tree data structure
Portion.
10. device according to claim 6, it is characterised in that the recruitment demand information includes at least position name
Claim information and/or wages treatment information.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201710947298.0A CN107967592A (en) | 2017-10-12 | 2017-10-12 | The aid in treatment method and device of job notice |
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| CN201710947298.0A CN107967592A (en) | 2017-10-12 | 2017-10-12 | The aid in treatment method and device of job notice |
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| CN107967592A true CN107967592A (en) | 2018-04-27 |
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| CN201710947298.0A Pending CN107967592A (en) | 2017-10-12 | 2017-10-12 | The aid in treatment method and device of job notice |
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| CN117151662A (en) * | 2023-08-31 | 2023-12-01 | 北京五八信息技术有限公司 | Position information processing method, device, equipment and storage medium based on AI |
| CN117808443A (en) * | 2023-07-31 | 2024-04-02 | 北京五八赶集信息技术有限公司 | Recruitment service system, method, equipment and storage medium based on AI |
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