CN108647250A - A kind of talent's big data quantization fine matching method based on artificial intelligence - Google Patents
A kind of talent's big data quantization fine matching method based on artificial intelligence Download PDFInfo
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- CN108647250A CN108647250A CN201810356179.2A CN201810356179A CN108647250A CN 108647250 A CN108647250 A CN 108647250A CN 201810356179 A CN201810356179 A CN 201810356179A CN 108647250 A CN108647250 A CN 108647250A
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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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Abstract
The present invention provides a kind of, and talent's big data based on artificial intelligence quantifies fine matching method, belongs to artificial intelligence field, is as follows：(1) data collection：The information of the registration user talent is collected by talent's software；(2) matched data acquires：Cloud server carries out storage matching to data；(3) talent's data score：Sample drawn data come out from cloud server, and carry out classification scoring according to industry type, extract the scoring vector of multiclass information in the resume；(4) classification of scoring vector：Scoring vector is divided into professional history scoring vector, education background scoring vector, business skill scoring vector, personal quality scoring vector；The present invention is based on talent's big datas of artificial intelligence to quantify fine matching method, combine the information of the various aspects such as professional history, education background, business skill and personal quality, final score value embodies the actual conditions of the talent, engagement efficiency is substantially increased, is had a good application prospect.
Description
Technical field
Present invention announcement is related to a kind of data matching method, specifically a kind of talent's big data quantization based on artificial intelligence
Fine matching method.
Background technology
With the rapid development of the communication technology, how the explosive growth of information from the data of magnanimity picks out needs
Interior Rongcheng field of information processing important research direction, information matches and effectively using influencing people's work and study at present
Every aspect.Biographic information is also the part in these mass datas, recruitment be work important in human resource management it
One, wherein resume selection is the first link of recruitment, and it has been human resources pipe to obtain resume currently with E-Recruit platform
The mode that reason personnel are commonly used.E-Recruit platform obtains it and registers the resume filled in of user first, then by resume and
The matching of position recommends suitable resume to enterprise, and in the prior art, E-Recruit website is set roughly generally according to enterprise
The condition set simply screen and match, such as carries out condition sieve according to target position, job site, academic profession etc.
Choosing, enterprise is sent to by the resume for meeting these simple conditions.However in use, such matching way effect is poor,
The resume of offer cannot meet the requirement of enterprise, often also need to recruiter and manually screen again；On the other hand, resume
Information it is more, recruiter lacks carries out effective quantitatively evaluating to resume, it is possible to cause to omit the resume for needing the talent.
Invention content
In view of the above shortcomings of the prior art, present invention announcement technical problems to be solved are to provide a kind of artificial intelligence neck
Talent's big data based on artificial intelligence in domain quantifies fine matching method.
In order to solve the above technical problems, present invention announcement provides following technical solution：
A kind of talent's big data quantization fine matching method based on artificial intelligence, is as follows：
(1) data collection：The personnel recruitment application software made is issued online first so that the trick of each enterprise
It engages information to put to release in software, needs the people that looks for a job that can then be registered on software in this way, when registration needs to fill in
The information of people and the personal skill speciality understood；
(2) matched data acquires：The information that user checks, and the letter that user is checked are automatically recorded when user is using software
Breath uploads to cloud server encryption after being classified, cloud server according to user check the sequencing of information to information into
Row major grade is distributed, and the log-on message of the encryption information of same user and the user is established an one-to-one mapping；
(3) talent's data score：Sample drawn data come out from cloud server, and are divided according to industry type
Class is trained the training sample using machine deep learning algorithm, obtains talent's data Rating Model；Utilize the people
Ability data Rating Model scores to magnanimity resume, obtains the resume library with score value；By the letter with score value
It goes through library and provides the matched resume of score value according to externally input demand for talent, so that the corresponding talent obtains to cope on an equal basis
The working opportunity in field, wherein and when carrying out data acquisition classification, extracting the scoring vector of multiclass information in the resume；
(4) classification of scoring vector：Scoring vector is divided into professional history scoring vector；Education background scoring vector；Business
Skill scores vector；Personal quality scoring vector.
Further improvement project is announced as the present invention：Keyword data in the step (1) in software acquires mould
Block collects data, uploads in cloud server.
Further improvement project is announced as the present invention：In the step (2) when user's refreshes user client, cloud
The product that end server can recommend the information category checked with user same or similar according to User Priority to subscription client
Information.
Further improvement project is announced as the present invention：Multiclass information in the extraction resume in the step (3)
Scoring vector step be：Acquisition is evaluated to obtain respectively according to the resume by human resources expert to the multiclass information
Marking value；The scoring vector of the category information is generated according to the marking value of every category information.
Further improvement project is announced as the present invention：It is scored according to the data of each vector in the step (4),
Net figure is drawn out, the convenient ability for intuitively finding out each talent is biased to, the convenient grade field for substantially determining the talent and being biased to, so
Laggard pedestrian just with the data Rapid matching in market, accurately sends occupational information, facilitates the talent to be quickly found out and position oneself.
Compared with prior art, the advantageous effect that the present invention announces is：
The present invention is based on talent's big datas of artificial intelligence to quantify fine matching method, combines professional history, the education back of the body
The information of the various aspects such as scape, business skill and personal quality, final score value embody the actual conditions of the talent, significantly
Engagement efficiency is improved, is had a good application prospect.
Specific implementation mode
The technical solution of this patent is described in more detail With reference to embodiment.
A kind of talent's big data quantization fine matching method based on artificial intelligence is present embodiments provided, specific steps are such as
Under：
(1) data collection：The personnel recruitment application software made is issued online first so that the trick of each enterprise
It engages information to put to release in software, needs the people that looks for a job that can then be registered on software in this way, when registration needs to fill in
The information of people and the personal skill speciality understood acquire down data then by the keyword data acquisition module in software
Come, uploads in cloud server；
(2) matched data acquires：The information that user checks, and the letter that user is checked are automatically recorded when user is using software
Breath uploads to cloud server encryption after being classified, cloud server according to user check the sequencing of information to information into
Row major grade is distributed, and the log-on message of the encryption information of same user and the user is established an one-to-one mapping,
When user's refreshes user client, cloud server can be recommended to check with user according to User Priority to subscription client
The same or similar product information of information category；
(3) talent's data score：Sample drawn data come out from cloud server, and are divided according to industry type
Class is trained the training sample using machine deep learning algorithm, obtains talent's data Rating Model；Utilize the people
Ability data Rating Model scores to magnanimity resume, obtains the resume library with score value；By the letter with score value
It goes through library and provides the matched resume of score value according to externally input demand for talent, so that the corresponding talent obtains to cope on an equal basis
The working opportunity in field, wherein and when carrying out data acquisition classification, extract the scoring vector of multiclass information in the resume,
Step is：Obtain the marking value evaluated respectively to the multiclass information according to the resume by human resources expert；
The scoring vector of the category information is generated according to the marking value of every category information；
(4) classification of scoring vector：Scoring vector is divided into professional history scoring vector；Education background scoring vector；Business
Skill scores vector；Personal quality scoring vector；And it is scored according to the data of each vector, figure is netted at drafting, it is convenient intuitive
The ability for finding out each talent be biased to, then the convenient grade field for substantially determining the talent and being biased to carries out the talent and market
Data Rapid matching, accurately sends occupational information, facilitates the talent to be quickly found out and positions oneself.
The better embodiment of this patent is explained in detail above, but this patent is not limited to above-mentioned embodiment party
Formula, one skilled in the relevant art within the scope of knowledge, can also be under the premise of not departing from this patent objective
It makes a variety of changes.
Claims (5)
1. a kind of talent's big data based on artificial intelligence quantifies fine matching method, characterized in that be as follows：
(1) data collection：The personnel recruitment application software made is issued online first so that the recruitment of each enterprise is believed
Breath is put and is released in software, needs the people to look for a job that can then be registered on software in this way, and when registration needs to fill in individual's
Information and the personal skill speciality understood；
(2) matched data acquires：Automatically record the information that user checks when user is using software, and the information that user is checked into
Cloud server encryption is uploaded to after row classification, cloud server checks that the sequencing of information is excellent to information progress according to user
First grade distribution, and the log-on message of the encryption information of same user and the user is established into an one-to-one mapping；
(3) talent's data score：Sample drawn data come out from cloud server, and classify according to industry type,
The training sample is trained using machine deep learning algorithm, obtains talent's data Rating Model；Utilize the talent
Data Rating Model scores to magnanimity resume, obtains the resume library with score value；By the resume with score value
Library provides the matched resume of score value according to externally input demand for talent, so that the corresponding talent obtains that neck can be coped on an equal basis
The working opportunity in domain, wherein and when carrying out data acquisition classification, extracting the scoring vector of multiclass information in the resume；
(4) classification of scoring vector：Scoring vector is divided into professional history scoring vector；Education background scoring vector；Business skill
Scoring vector；Personal quality scoring vector.
2. talent's big data according to claim 1 based on artificial intelligence quantifies fine matching method, characterized in that institute
The keyword data acquisition module in software in step (1) is stated, data are collected, are uploaded in cloud server.
3. talent's big data according to claim 1 based on artificial intelligence quantifies fine matching method, characterized in that institute
When stating user's refreshes user client in step (2), cloud server can according to User Priority to subscription client recommend with
The same or similar product information of information category that user checks.
4. talent's big data according to claim 1 based on artificial intelligence quantifies fine matching method, characterized in that institute
Stating the middle scoring vector step for extracting multiclass information in the resume of step (3) is：It obtains by human resources expert according to described
The marking value that resume evaluates the multiclass information respectively；Such letter is generated according to the marking value of every category information
The scoring vector of breath.
5. talent's big data according to claim 1 based on artificial intelligence quantifies fine matching method, characterized in that institute
It states in step (4) and is scored according to the data of each vector, draw out net figure, it is convenient intuitively to find out that the ability of each talent is inclined
To then the convenient grade field for substantially determining the talent and being biased to carries out the data Rapid matching of the talent and market, accurately sends
Occupational information facilitates the talent to be quickly found out and positions oneself.
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| CN109636337A (en) * | 2018-12-12 | 2019-04-16 | 北京唐冠天朗科技开发有限公司 | A kind of talent's base construction method and electronic equipment based on big data |
| CN109934468A (en) * | 2019-02-26 | 2019-06-25 | 北京多点在线科技有限公司 | A kind of part-time job matching process and system, storage medium |
| CN110033193A (en) * | 2019-04-17 | 2019-07-19 | 张建楠 | Processing method, device and the electronic equipment of user information |
| CN110147964A (en) * | 2019-05-24 | 2019-08-20 | 焦作大学 | Talent evaluation system based on big data technology |
| CN111144781A (en) * | 2019-12-31 | 2020-05-12 | 江苏德尔斐数字科技有限公司 | Intelligent talent evaluation screening method based on cloud data |
| CN111680972A (en) * | 2020-03-19 | 2020-09-18 | 江苏智檬智能科技有限公司 | Talent resume matching method based on artificial intelligence big data |
| CN111738586A (en) * | 2020-06-17 | 2020-10-02 | 中国银行股份有限公司 | Talent assessment method and device |
| CN112016878A (en) * | 2019-05-29 | 2020-12-01 | 江苏海事职业技术学院 | Big data human resource management method |
| CN112668895A (en) * | 2020-12-31 | 2021-04-16 | 重庆绿安信息科技有限公司 | Digital resource quality supervision system |
| CN112819384A (en) * | 2021-02-23 | 2021-05-18 | 吉林省地方病第一防治研究所 | Internet platform-based data plague talent management analysis system |
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| CN109636337A (en) * | 2018-12-12 | 2019-04-16 | 北京唐冠天朗科技开发有限公司 | A kind of talent's base construction method and electronic equipment based on big data |
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| CN112668895A (en) * | 2020-12-31 | 2021-04-16 | 重庆绿安信息科技有限公司 | Digital resource quality supervision system |
| CN112819384A (en) * | 2021-02-23 | 2021-05-18 | 吉林省地方病第一防治研究所 | Internet platform-based data plague talent management analysis system |
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Application publication date: 20181012 |