CN106845931A - A kind of professional aid decision-making method and its system - Google Patents
A kind of professional aid decision-making method and its system Download PDFInfo
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- CN106845931A CN106845931A CN201611258148.0A CN201611258148A CN106845931A CN 106845931 A CN106845931 A CN 106845931A CN 201611258148 A CN201611258148 A CN 201611258148A CN 106845931 A CN106845931 A CN 106845931A
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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Abstract
The invention discloses a kind of professional aid decision-making method and its system, more reasonably chosen a profession for user.The method for being implemented in client includes：Obtain the professional aid decision request of user；Expect that index is selected and given a mark for user's additions and deletions according to the request output of professional aid decision；By the expectation index of user's selection and to expecting that the marking score value of index is sent to server end；The appraisal result and suggestion output display that server end is given are for reference.The method for being implemented in server end includes：Receive expectation index and the marking score value to expecting index that client sends；The expectation index selected according to user and the marking score value row inside fraction conversion to expecting index；The appraisal result and suggestion corresponding with appraisal result that will be changed through internal fraction are sent to client.
Description
Technical field
The present invention relates to field of information interaction, more particularly to a kind of professional aid decision-making method and its system.
Background technology
Current period employment situation is very severe, and job hunter is many times eager to find a work, without considering oneself
Actual conditions and demand, just feel improper after being engaged in work, so as to the phenomenon for causing the work period shorter and shorter.
When job hunter faces two or more occupation/unit/position/post to be selected, traditional decision-making technique is artificial
Many-side compares, and it has the deficiencies such as subjectivity, randomness, limitation, and choosing whether of making correctly is also difficult to hold；Or
Detected by professional person is one-to-one, it has that high cost, efficiency are low.The high speed of internet arena and Web technologies
Development impart desktop application and mobile terminal broader practice prospect, especially mobile terminal turn into personal connection network and
Enterprise provides the Important Platform of service.And with the popularization of the mobile devices such as mobile phone, panel computer, people can be attempted using shifting
Dynamic terminal aids in job hunter to do more comprehensive, thoughtful, accurate occupation choice instead of people.
The content of the invention
Present invention aim at a kind of professional aid decision-making method and its system is provided, there is subjectivity to solve conventional method
The existing technical problem of property or high cost.
To achieve the above object, the invention provides a kind of professional aid decision-making method, client is implemented in, including it is following
Step：
Obtain the professional aid decision request of user；
Expect that index is selected and given a mark for user's additions and deletions according to the request output of professional aid decision；
By the expectation index of user's selection and to expecting that the marking score value of index is sent to server end；
The appraisal result and suggestion output display that server end is given are for reference.
To achieve the above object, present invention also offers a kind of professional aid decision-making method, server end is implemented in, including
Following steps：
Receive expectation index and the marking score value to expecting index that client sends；
According to user select expectations index and to expectation index marking score value carry out internal fraction conversion；
The appraisal result and suggestion corresponding with appraisal result that will be changed through internal fraction are sent to client.
Further, it is desirable to index include first impression, obtain difficulty or ease, suit one's training, region meets, interest meets, energy
Power performance, material treatment, interpersonal relationships, working environment, society need, professional stabilization, career development, Thinking Innovation, independence are certainly
Master, social prestige, free time, spouse's influence, father and mother's demand.
Further, it is desirable to index draws according to big data analysis.
Further, the step of internal fraction is changed be：
Marking fraction a to expecting first impression in index carries out being converted to internal fraction A=0.3a, and wherein a's beats
Fraction range is divided to be 1-100.
Other expect that index marking fraction * weight additions carry out being converted to internal fraction B=0.7b after obtaining b.
Appraisal result C=A+B.
It is corresponding with the above method, present invention also offers a kind of professional aid decision-making system, including：
Client：Professional aid decision for obtaining user is asked；Referred to according to the request output expectation of professional aid decision
Mark is selected and given a mark for user；The expectation index that user is selected fraction corresponding with index is expected is sent to server end；
The appraisal result and suggestion output display that the reception server end is given are for reference.
Server end：Expectation index for receiving client transmission；According to corresponding to the expectation index that user selects
Fraction carries out internal fraction conversion；Calculate appraisal result and send to client appraisal result and suggestion corresponding with appraisal result
End.
The present invention combines marking of the user according to own situation to the increase and decrease of expectation index and to expecting index, according to user
Selection be given scoring and occupation choice advisory result, user refers to TOP SCORES and occupation choice advisory result is more reasonable
Selection the occupation of oneself.
In addition to objects, features and advantages described above, the present invention also has other objects, features and advantages.
Below with reference to accompanying drawings, the present invention is further detailed explanation.
Brief description of the drawings
The accompanying drawing for constituting the part of the application is used for providing a further understanding of the present invention, schematic reality of the invention
Apply example and its illustrate, for explaining the present invention, not constitute inappropriate limitation of the present invention.In the accompanying drawings：
Fig. 1 is that the method for the occupation choice aid decision of the preferred embodiment of the present invention is implemented in the flow chart of client；
Fig. 2 is that the method for the occupation choice aid decision of the preferred embodiment of the present invention is implemented in the flow chart of server end.
Specific embodiment
Embodiments of the invention are described in detail below in conjunction with accompanying drawing, but the present invention can be defined by the claims
Multitude of different ways with covering is implemented.
The embodiment of the present invention discloses a kind of professional aid decision-making method first, and the method can run on based on Androi d
On the multi-clients such as mobile phone, panel computer, the computer of the platform such as platform or IOS, its specific manifestation form includes but is not limited to base
The combination of the application APP and its hardware support kit that develop and load in corresponding platform.As shown in figure 1, the method is implemented in client
The flow at end includes：
S1, the professional aid decision request for obtaining user.The professional aid decision request can be corresponding by clicking on or touching
Request key in interface sends.
S2, according to professional aid decision request output expect index for user's additions and deletions select and give a mark；User is for institute
The expectation index enumerated carries out additions and deletions operation, and expectation index to finally leaving carries out scoring operations.
S3, by the expectation index of user's selection and to expect index marking score value send to server end.By number
Json format transmissions are to server end according to this.
S4, the appraisal result that server end is given and suggestion output display are for reference.User can refer to scoring knot
Fruit and suggestion more reasonably choose a profession.User is according to scoring height selection job hunting decision-making and obtains corresponding suggestion.
S5, the expectation index for receiving client transmission and the marking score value to expecting index.
S6, the expectation index selected according to user and the marking score value row inside fraction conversion to expecting index.Interior part
Counting the step of changing is：Marking fraction a to expecting first impression in index carries out being converted to internal fraction A=0.3a, its
The marking fraction range of middle a is 1-100, and other expect that index marking fraction * weight additions carry out being converted to inside after obtaining b
Fraction B=0.7b, appraisal result C=A+B.
S7, the appraisal result that will be changed through internal fraction and suggestion corresponding with appraisal result are sent to client.
By above-mentioned steps, with reference to user according to own situation to expecting the increase and decrease and marking to expecting index of index,
Selection according to user provides scoring and occupation choice advisory result, and user refers to TOP SCORES and occupation choice advisory result
More reasonably select the occupation of oneself.
Further, it is desirable to index include first impression, obtain difficulty or ease, suit one's training, region meets, interest meets, energy
Power performance, material treatment, interpersonal relationships, working environment, society need, professional stabilization, career development, Thinking Innovation, independence are certainly
Master, social prestige, free time, spouse's influence, father and mother's demand.User carries out additions and deletions and beats according to own situation to expecting index
Point.
Further, it is desirable to index draws according to big data statistics.According to the expectation index that big data statistics is obtained, most accord with
Close the expectation of job applicant.
It is corresponding with the above method, present invention also offers a kind of supporting professional aid decision-making system, the system bag
Client and server end is included, wherein：
Obtain the professional aid decision request of user；Expect that index is selected for user according to the request output of professional aid decision
And marking；The expectation index that user is selected fraction corresponding with index is expected is sent to server end；The reception server end
The appraisal result and suggestion output display for being given are for reference.
Server end：Expectation index for receiving client transmission；According to corresponding to the expectation index that user selects
Fraction carries out internal fraction conversion；Calculate appraisal result and send to client appraisal result and suggestion corresponding with appraisal result
End.
The system realizes on-line testing using the B/S network architectures, greatly improves the convenience of test.Meanwhile, client
The transmitted data in end are to expect index and expect index score, and the transmission quantity of data is small, alleviates at the data of server end
Reason pressure；Expectation index and each index transmitted by received server-side mobile client expect index score, according to formula
Appraisal result is calculated, appraisal result and the suggestion of corresponding occupation choice is given, user refers to occupation choice suggestion more
Plus reasonably choose a profession.
In summary, the marking fraction of expectation index and every expectation index that the present invention combines user's additions and deletions provides occupation
Selection advisory result, improves the accuracy of occupation choice aid decision, and on-line testing, pole are realized using the B/S network architectures
The big convenience that improve test.Meanwhile, the data transmitted by client are to expect index and every marking for expecting index point
Number, reduces the transmission quantity of data, alleviates the data processing pressure of server end；Received server-side mobile client is sent out
The expectation index sent and every marking fraction for expecting index, calculate, appraisal result according to formula, provide appraisal result and right
The occupation choice answered advises that user refers to occupation choice suggestion and more reasonably selects the occupation of oneself.
The preferred embodiments of the present invention are these are only, is not intended to limit the invention, for those skilled in the art
For member, the present invention can have various modifications and variations.All any modifications within the spirit and principles in the present invention, made,
Equivalent, improvement etc., should be included within the scope of the present invention.
Claims (9)
1. a kind of professional aid decision-making method, is implemented in client, it is characterised in that comprise the following steps：
Obtain the professional aid decision request of user；
Expect that index is selected and given a mark for user's additions and deletions according to the professional aid decision request output；
By the expectation index of user's selection and to expecting that the marking score value of index is sent to server end；
The appraisal result and suggestion output display that the server end is given are for reference.
2. a kind of professional aid decision-making method, is implemented in server end, it is characterised in that comprise the following steps：
Receive expectation index and the marking score value to the expectation index that client sends；
According to user select the expectation index and to it is described expectation index marking score value carry out internal fraction conversion；
The appraisal result and suggestion corresponding with appraisal result that will be changed through internal fraction are sent to client.
3. a kind of professional aid decision-making method according to claim 2, it is characterised in that the expectation index includes first
Impression, obtain difficulty or ease, suit one's training, region meets, interest meets, ability orientation, material treatment, interpersonal relationships, working environment,
Society need, professional stabilization, career development, Thinking Innovation, independent, social prestige, free time, spouse's influence, father and mother
Demand.
4. a kind of professional aid decision-making method according to claim 3, it is characterised in that the expectation index is according to big number
Drawn according to analysis.
5. a kind of professional aid decision-making method according to claim 3, it is characterised in that the step of internal fraction is changed
For：
Marking fraction a to expecting first impression in index carries out being converted to internal fraction A=0.3a, the wherein marking of a point
Number scope is 1-100；
Other expect that index marking fraction * weight additions carry out being converted to internal fraction B=0.7b after obtaining b；
Appraisal result C=A+B.
6. a kind of professional aid decision-making system, it is characterised in that including：
Client：Professional aid decision for obtaining user is asked；Referred to according to the professional aid decision request output expectation
Mark is for user's additions and deletions selection and gives a mark；By user select the expectation index and to expect index marking score value send to
Server end；The appraisal result and suggestion output display that the server end is given are for reference.
Server end：Expectation index and the marking score value to the expectation index for receiving client transmission；According to user
The expectation index of selection and the marking score value to the expectation index carry out internal fraction conversion；To be changed through internal fraction
Appraisal result and suggestion corresponding with appraisal result send to client.
7. a kind of professional aid decision-making system according to claim 6, it is characterised in that expect that index includes the first print
As, obtain difficulty or ease, suit one's training, region meets, interest meets, ability orientation, material treatment, interpersonal relationships, working environment, society
May require that, professional stabilization, career development, Thinking Innovation, independent, social prestige, free time, spouse influences, father and mother tell
Ask.
8. a kind of professional aid decision-making system according to claim 7, it is characterised in that the expectation index is according to big number
Drawn according to analysis.
9. a kind of professional aid decision-making system according to claim 7, it is characterised in that internal described in the server end
Fraction transfer process：Marking fraction a to expecting first impression in index carries out being converted to internal fraction A=0.3a, wherein a
Marking fraction range be 1-100；Other expect that index marking fraction * weight additions carry out being converted to interior part after obtaining b
Number B=0.7b；Appraisal result C=A+B.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611258148.0A CN106845931A (en) | 2016-12-30 | 2016-12-30 | A kind of professional aid decision-making method and its system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611258148.0A CN106845931A (en) | 2016-12-30 | 2016-12-30 | A kind of professional aid decision-making method and its system |
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| Publication Number | Publication Date |
|---|---|
| CN106845931A true CN106845931A (en) | 2017-06-13 |
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ID=59114202
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| Application Number | Title | Priority Date | Filing Date |
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| CN201611258148.0A Pending CN106845931A (en) | 2016-12-30 | 2016-12-30 | A kind of professional aid decision-making method and its system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11734589B2 (en) | 2018-11-07 | 2023-08-22 | Industrial Technology Research Institute | Virtual assistant negotiation system and method thereof |
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| CN103294816A (en) * | 2013-06-09 | 2013-09-11 | 广东倍智人才管理咨询有限公司 | Method and system for recommending positions for job seeker |
| CN103631954A (en) * | 2013-12-13 | 2014-03-12 | 百度在线网络技术（北京）有限公司 | Individualized recommendation method and device |
| CN104408581A (en) * | 2014-12-12 | 2015-03-11 | 西南石油大学 | System and method for multi-terminal automatic evaluation of enterprise safety management |
-
2016
- 2016-12-30 CN CN201611258148.0A patent/CN106845931A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6070143A (en) * | 1997-12-05 | 2000-05-30 | Lucent Technologies Inc. | System and method for analyzing work requirements and linking human resource products to jobs |
| CN102855542A (en) * | 2012-07-19 | 2013-01-02 | 周宇 | Evaluation method of 'learning gene' individual learning abilities |
| CN103294816A (en) * | 2013-06-09 | 2013-09-11 | 广东倍智人才管理咨询有限公司 | Method and system for recommending positions for job seeker |
| CN103631954A (en) * | 2013-12-13 | 2014-03-12 | 百度在线网络技术（北京）有限公司 | Individualized recommendation method and device |
| CN104408581A (en) * | 2014-12-12 | 2015-03-11 | 西南石油大学 | System and method for multi-terminal automatic evaluation of enterprise safety management |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11734589B2 (en) | 2018-11-07 | 2023-08-22 | Industrial Technology Research Institute | Virtual assistant negotiation system and method thereof |
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Application publication date: 20170613 |
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