CN110377838A - Recruitment data recommendation method and its device on block chain - Google Patents
Recruitment data recommendation method and its device on block chain Download PDFInfo
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- CN110377838A CN110377838A CN201910676396.4A CN201910676396A CN110377838A CN 110377838 A CN110377838 A CN 110377838A CN 201910676396 A CN201910676396 A CN 201910676396A CN 110377838 A CN110377838 A CN 110377838A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9538—Presentation of query results
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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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/105—Human resources
- G06Q10/1053—Employment or hiring
Abstract
The application is disclosed in recruitment data recommendation method and its device on block chain, this method comprises: register of the recruitment data client in response to user, the recruitment data client is the client of decentralization；The recruitment data client obtains the User ID, and obtains the hobby label of user from block chain according to the User ID；The recruitment data client obtains the corresponding recruitment data of the user preferences label according to the hobby label of the user from block chain；The recruitment data client gives the recruitment data-pushing to the user, and the recruitment data include recruitment time, recruitment post and recruitment type.When user accesses recruitment data client for the first time in the application, client can obtain the hobby label of recruitment data, the corresponding recruitment data of the hobby label be pushed to user, so that the user experience is improved according to the other kinds of operation data of user.
Description
Technical field
The present invention relates to field of computer technology, recruitment data recommendation method and its device especially on block chain.
Background technique
Currently, preserve the data of personal various dimensions on internet, for example Internet chat data, commodity purchasing data, search
Rope data, web browsing data and personal recruitment resume data etc..All there is the application of each company operation in these data
In software center database.Centralization database purchase mode, allow data leakage and distort, become what user worried always
Problem.
However, due to the generation and application of block chain technology, more and more data can be stored on block chain.Block chain
It is the distributed storage technology of decentralization, it, can be by number using technologies such as common recognition algorithm, Encryption Algorithm and point-to-point transmission
It is stored in several nodes according to distribution, and only holds the user of the data private key, can check the number of user itself
According to ensure that the safety of data.
Therefore, can be stored with the data of multiple dimensions of a user on block chain, how by means of multiple dimensions number
According to, give user carry out individuation data recommendation, become one of block chain large-scale application urgent problem to be solved.
Above description understands just to facilitate, and should not be limited to the prior art of the application.
Summary of the invention
Based on the above issues, the embodiment of the present application provides recruitment data recommendation method and its device on block chain,
This method can obtain the recommendation that the user recruits data, improve user's according to the other kinds of operation data of user
Experience increases the personalized of data and shows.
The application first aspect discloses the recruitment data recommendation method on block chain, which comprises
Data client is recruited in response to the register of user, the recruitment data client is the client of decentralization
End；
The recruitment data client obtains the User ID, and obtains user's from block chain according to the User ID
Like label；
The recruitment data client obtains the user preferences mark according to the hobby label of the user from block chain
Sign corresponding recruitment data；
The recruitment data client gives the recruitment data-pushing to the user, when the recruitment data include recruitment
Between, recruitment post and recruitment type.
In a kind of possible embodiment, the recruitment data client is obtained from block chain according to the User ID
The hobby label of user；It specifically includes:
The recruitment data client obtains the operation data of the user according to the User ID from block chain, described
Operation data is the operation data in addition to the recruitment data of the user；
The recruitment data client obtains the recruitment data preferences mark of the user according to the operation data of the user
Label.
In a kind of possible embodiment, the recruitment data client is obtained according to the operation data of the user
The recruitment data preferences label of the user；It specifically includes:
The recruitment data client obtains the hobby set of tags of the user, institute according to the operation data of the user
Stating user preferences set of tags includes liking the acquisition number for obtaining the time and liking label of label；
The recruitment data client is according to the hobby set of tags of the user, hobby label time and hobby label
Number carries out tag sorting to the user preferences set of tags, obtains the user preferences tag sorting group；Wherein, the user
The Sort Priority for liking the label time is greater than the user preferences label number Sort Priority, the user preferences label row
Like label in sequence group successively to sort from high to low according to hobby label weight；
The recruitment data client selects the hobby label of preset quantity to make from the user preferences tag sorting group
The hobby label of operation data is recruited for the user.
In a kind of possible embodiment, the operation data of the user includes the user from media manipulation number
According to, electric quotient data, investigational data, knowledge payment data, ad click data, knowledge question data, community data, search number
According to, shared economic data, user's evaluation data, user's polled data and user thumb up one of data or a variety of；Wherein,
The user's operation data are stored in the user's operation data on block chain.
In a kind of possible embodiment, the user is for the first time using the user of the recruitment data client.
The application second aspect discloses the recruitment data recommendation device on block chain, and described device is client, institute
Stating device includes response unit, processing unit and push unit；Wherein,
The response unit, in response to the register of user, the recruitment data client is the client of decentralization
End；
The processing unit obtains the User ID, and obtains the hobby of user from block chain according to the User ID
Label；
The processing unit obtains the user preferences label pair according to the hobby label of the user from block chain
The recruitment data answered；
The push unit gives the recruitment data-pushing to the user, and the recruitment data include the recruitment time, recruit
Engage post and recruitment type.
In a kind of possible embodiment, the processing unit obtains user's according to the User ID from block chain
Like label；It specifically includes:
The processing unit obtains the operation data of the user, the operation according to the User ID from block chain
Data are the operation data in addition to the recruitment data of the user；
The processing unit obtains the recruitment data preferences label of the user according to the operation data of the user.
In a kind of possible embodiment, the processing unit obtains the use according to the operation data of the user
The recruitment data preferences label at family；It specifically includes:
The processing unit obtains the hobby set of tags of the user, the user according to the operation data of the user
Hobby set of tags includes liking the acquisition number for obtaining the time and liking label of label；
The processing unit is right according to the hobby set of tags of the user, hobby label time and hobby label number
The user preferences set of tags carries out tag sorting, obtains the user preferences tag sorting group；Wherein, the user preferences mark
The Sort Priority for signing the time is greater than the user preferences label number Sort Priority, in the user preferences tag sorting group
Hobby label successively sorts from high to low according to hobby label weight；
The processing unit selects the hobby label of preset quantity as described in from the user preferences tag sorting group
The hobby label of user's recruitment operation data.
In a kind of possible embodiment, the operation data of the user includes the user from media manipulation number
According to, electric quotient data, investigational data, knowledge payment data, ad click data, knowledge question data, community data, search number
According to, shared economic data, user's evaluation data, user's polled data and user thumb up one of data or a variety of；Wherein,
The user's operation data are stored in the user's operation data on block chain.
In a kind of possible embodiment, the user is for the first time using the user of the recruitment data client.
The third aspect, this specification embodiment provide a kind of computer equipment, including memory, processor and are stored in
On memory and the computer program that can run on a processor, the processor realize aforementioned first party when executing described program
Either side or various method and steps in face or second aspect.
Fourth aspect provides a kind of computer readable storage medium, and meter is stored on the computer readable storage medium
Calculation machine program, the computer program realize either side or more in above-mentioned first aspect or second aspect when being executed by processor
Method described in aspect.
5th aspect, provides a kind of computer program product comprising instruction, when described instruction is run on computers
When, so that computer executes in above-mentioned first aspect or second aspect method described in either side or various aspects.
In the application, when user accesses recruitment data client for the first time, client can be according to the other kinds of of user
Operation data obtains the hobby label of recruitment data, to carry out the personalized recommendation of recruitment data, the user experience is improved.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment
Attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description be only invent some embodiments, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of recruitment data recommendation method flow diagram on block chain；
Fig. 2 is a kind of recruitment data recommendation schematic device on block chain；
Fig. 3 is a kind of recruitment data recommendation device structure schematic diagram on block chain.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
In order to facilitate understanding of embodiments of the present invention, it is further explained below in conjunction with attached drawing with specific embodiment
Bright, embodiment does not constitute the restriction to the embodiment of the present invention.
In the application, client is the client (Decentralized Application, DApp) of decentralization, visitor
Family end directly carries out the interaction of information with block chain.Also, the data in various industries or field are preserved on block chain.
As shown in Figure 1, the recruitment data recommendation method on block chain, the method includes the steps S101-S104.
S101, for recruitment data client in response to the register of user, the recruitment data client is decentralization
Client.
S102, the recruitment data client obtains the User ID, and is obtained from block chain according to the User ID
The hobby label of user.
In one example, the recruitment data client obtains the hobby of user according to the User ID from block chain
Label；Specifically include: the recruitment data client obtains the operand of the user according to the User ID from block chain
According to the operation data is the operation data in addition to the recruitment data of the user；The recruitment data client is according to institute
The operation data for stating user obtains the recruitment data preferences label of the user.
In one example, the recruitment data client obtains the user's according to the operation data of the user
Recruit data preferences label；Specifically include: the recruitment data client obtains the use according to the operation data of the user
The hobby set of tags at family, the user preferences set of tags include liking the acquisition for obtaining the time and liking label time of label
Number；The recruitment data client is right according to the hobby set of tags of the user, hobby label time and hobby label number
The user preferences set of tags carries out tag sorting, obtains the user preferences tag sorting group；Wherein, the user preferences mark
The Sort Priority for signing the time is greater than the user preferences label number Sort Priority, in the user preferences tag sorting group
Hobby label successively sorts from high to low according to hobby label weight；The recruitment data client is from the user preferences label
In sequence group, the hobby label of preset quantity is selected to recruit the hobby label of operation data as the user.
In one example, the operation data of the user include the user from media manipulation data, electric quotient data,
Investigational data, ad click data, knowledge question data, community data, searches for data, shares economic number knowledge payment data
According to, user's evaluation data, user's polled data and user thumb up one of data or a variety of；Wherein, the user's operation
Data are stored in the user's operation data on block chain.
S103, the recruitment data client obtain the user according to the hobby label of the user from block chain
Like the corresponding recruitment data of label.
S104, the recruitment data client give the recruitment data-pushing to the user, and the recruitment data include
Recruit time, recruitment post and recruitment type.
In the step, recruitment data client pushes law row to user according to the hobby label of the legal industry of user
The recruitment information of industry.The type of recruitment refers to the industry of recruitment.
In one example, the user is for the first time using the user of the recruitment data client.
It should be noted that above-mentioned steps are user for the first time using recruitment data client, other numbers are used using user
According to the label of client, personalized recommendation for the first time is carried out to user.If user it is non-for the first time using recruitment data client when, the trick
It engages data client to will record down the hobby label of the user, can be recommended for the user preferences label.
It should be pointed out that each platform is all centralization database, can only possess the platform in current internet
The hobby label of user's operation data and user.Such as: know that (knowledge question data) can only possess the question and answer number for knowing user
According to the question and answer data preferences label with user, microblogging can only possess microblog users figure, text or small video data and user it is micro-
Rich hobby label, payment course platform (knowledge payment data) can only possess give a course and pay listen to the teacher user data and user
Like label, shared vehicle platform (such as drop drop is called a taxi) only possesses the shared data of drop drop user and the hobby label of user
Deng.The shared of data can not be carried out between each platform；And each platform can only be directed to operand of the user under the platform
According to obtaining the hobby label of user, and carry out the personalized recommendation of user.
However, user can pass through each data consumers after the data of each platform or industry are stored on block chain
End access data.The case where discussed here it is the embodiment of the present application, is stored with each dimension of user or field on block chain
Data, the available label to user.Therefore, even if user uses some data manipulation client, data behaviour for the first time
Making client still can be to user-customized recommended data.
In the application, when user accesses recruitment data client for the first time, client can be according to the other kinds of of user
Operation data obtains the hobby label of recruitment data, to carry out the personalized recommendation of recruitment data, the user experience is improved.
As shown in Fig. 2, the recommendation apparatus of the recruitment data on block chain, described device is client, described device packet
Include response unit, processing unit and push unit.
The response unit, in response to the register of user, the recruitment data client is the client of decentralization
End；
The processing unit obtains the User ID, and obtains the hobby of user from block chain according to the User ID
Label；
The processing unit obtains the user preferences label pair according to the hobby label of the user from block chain
The recruitment data answered；
The push unit gives the recruitment data-pushing to the user, and the recruitment data include the recruitment time, recruit
Engage post and recruitment type.
In one example, the processing unit obtains the hobby label of user according to the User ID from block chain；
Specifically include: the processing unit obtains the operation data of the user, the operation according to the User ID from block chain
Data are the operation data in addition to the recruitment data of the user；
The processing unit obtains the recruitment data preferences label of the user according to the operation data of the user.
In one example, the processing unit obtains the recruitment number of the user according to the operation data of the user
According to hobby label；It specifically includes:
The processing unit obtains the hobby set of tags of the user, the user according to the operation data of the user
Hobby set of tags includes liking the acquisition number for obtaining the time and liking label of label；
The processing unit is right according to the hobby set of tags of the user, hobby label time and hobby label number
The user preferences set of tags carries out tag sorting, obtains the user preferences tag sorting group；Wherein, the user preferences mark
The Sort Priority for signing the time is greater than the user preferences label number Sort Priority, in the user preferences tag sorting group
Hobby label successively sorts from high to low according to hobby label weight；
The processing unit selects the hobby label of preset quantity as described in from the user preferences tag sorting group
The hobby label of user's recruitment operation data.
In one example, the operation data of the user include the user from media manipulation data, electric quotient data,
Investigational data, ad click data, knowledge question data, community data, searches for data, shares economic number knowledge payment data
According to, user's evaluation data, user's polled data and user thumb up one of data or a variety of；Wherein, the user's operation
Data are stored in the user's operation data on block chain.
In one example, the user is for the first time using the user of the recruitment data client.
In the application, when user accesses recruitment data client for the first time, client can be according to the other kinds of of user
Operation data obtains the hobby label of recruitment data, to carry out the personalized recommendation of recruitment data, the user experience is improved.
This specification embodiment provides a kind of computer equipment, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, the processor execute above-mentioned any one embodiment of the method.
Present invention also provides a kind of computer readable storage medium, calculating is stored on the computer readable storage medium
Machine program, the computer program are executed by processor above-mentioned any one embodiment of the method.
Present invention also provides a kind of computer program products comprising instruction, when described instruction is run on computers
When, so that computer executes above-mentioned any one embodiment of the method.
Fig. 3 shows a kind of computer equipment structural schematic diagram, which may include: processor 310, storage
Device 320, input/output interface 330, communication interface 340 and bus 350.Wherein processor 340, memory 320, input/output
Interface 330 and communication interface 340 pass through the communication connection between the realization of bus 350 inside equipment.
Processor 310 can use general CPU (Central Processing Unit, central processing unit), micro process
Device, application specific integrated circuit (Application Specific Integrated Circuit, ASIC) or one or
The modes such as multiple integrated circuits are realized, for executing relative program, to realize technical solution provided by this specification embodiment.
Memory 320 can use ROM (Read Only Memory, read-only memory), RAM (Random Access
Memory, random access memory), static storage device, the forms such as dynamic memory realize.Memory 320 can store
Operating system and other applications are realizing technical solution provided by this specification embodiment by software or firmware
When, relevant program code is stored in memory 320, and execution is called by processor 310.
Input/output interface 330 is for connecting input/output module, to realize information input and output.Input and output/
Module can be used as component Configuration (not shown) in a device, can also be external in equipment to provide corresponding function.Wherein
Input equipment may include keyboard, mouse, touch screen, microphone, various kinds of sensors etc., output equipment may include display,
Loudspeaker, vibrator, indicator light etc..
Communication interface 340 is used for connection communication module (not shown), to realize the communication of this equipment and other equipment
Interaction.Wherein communication module can be realized by wired mode (such as USB, cable etc.) and be communicated, can also be wirelessly
(such as mobile network, WIFI, bluetooth etc.) realizes communication.
Bus 350 includes an access, in various components (such as the processor 310, memory 320, input/output of equipment
Interface 330 and communication interface 340) between transmit information.
It should be noted that although above equipment illustrates only processor 310, memory 320, input/output interface
330, communication interface 340 and bus 350, but in the specific implementation process, which can also include realizing to operate normally
Necessary other assemblies.In addition, it will be appreciated by those skilled in the art that, it can also be only comprising realizing in above equipment
Component necessary to this specification example scheme, without including all components shown in figure.
Professional should further appreciate that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.
Professional technician can use different methods to achieve the described function each specific application, but this realization
It should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can be executed with hardware, processor
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only memory
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all any modification, equivalent substitution, improvement and etc. within the scope of the present invention, done should be included in this hair
Within bright protection scope.
Claims (10)
1. the recruitment data recommendation method on block chain, which is characterized in that the described method includes:
Data client is recruited in response to the register of user, the recruitment data client is the client of decentralization；
The recruitment data client obtains the user I D, and obtains the happiness of user from block chain according to the user I D
Good label；
The recruitment data client obtains the user preferences label pair according to the hobby label of the user from block chain
The recruitment data answered；
The recruitment data client by the recruitment data-pushing give the user, the recruitment data include recruit the time,
Recruit post and recruitment type.
2. the method according to claim 1, wherein the recruitment data client according to the user I D from
The hobby label of user is obtained on block chain；It specifically includes:
The recruitment data client obtains the operation data of the user, the behaviour according to the user I D from block chain
Making data is the operation data in addition to the recruitment data of the user；
The recruitment data client obtains the recruitment data preferences label of the user according to the operation data of the user.
3. according to the method described in claim 2, it is characterized in that, the data client of recruiting is according to the operation of the user
Data obtain the recruitment data preferences label of the user；It specifically includes:
The recruitment data client obtains the hobby set of tags of the user, the use according to the operation data of the user
Family hobby set of tags includes liking the acquisition number for obtaining the time and liking label of label；
The recruitment data client is according to the hobby set of tags of the user, hobby label time and likes label number,
Tag sorting is carried out to the user preferences set of tags, obtains the user preferences tag sorting group；Wherein, the user preferences
The Sort Priority of label time is greater than the user preferences label number Sort Priority, the user preferences tag sorting group
Middle hobby label successively sorts from high to low according to hobby label weight；
The recruitment data client selects the hobby label of preset quantity as institute from the user preferences tag sorting group
State the hobby label that user recruits operation data.
4. according to claim 1 to method described in 3 any one, which is characterized in that the operation data of the user includes institute
State user from media manipulation data, electric quotient data, investigational data, knowledge payment data, ad click data, knowledge question number
It is thumbed up in data according to, community data, search data, shared economic data, user's evaluation data, user's polled data and user
It is one or more；Wherein, the user's operation data are stored in the user's operation data on block chain.
5. the method according to claim 1, wherein the user is to use the recruitment data client for the first time
User.
6. the recruitment data recommendation device on block chain, which is characterized in that described device is client, and described device includes ringing
Answer unit, processing unit and push unit；Wherein,
The response unit, in response to the register of user, the recruitment data client is the client of decentralization；
The processing unit obtains the User ID, and obtains the hobby label of user from block chain according to the User ID；
It is corresponding to obtain the user preferences label according to the hobby label of the user from block chain for the processing unit
Recruit data；
The push unit gives the recruitment data-pushing to the user, and the recruitment data include recruitment time, recruitment hilllock
Position and recruitment type.
7. device according to claim 6, which is characterized in that the processing unit is according to the User ID from block chain
Obtain the hobby label of user；It specifically includes:
The processing unit obtains the operation data of the user, the operation data according to the User ID from block chain
For the operation data in addition to the recruitment data of the user；
The processing unit obtains the recruitment data preferences label of the user according to the operation data of the user.
8. device according to claim 7, which is characterized in that the processing unit according to the operation data of the user,
Obtain the recruitment data preferences label of the user；It specifically includes:
The processing unit obtains the hobby set of tags of the user, the user preferences according to the operation data of the user
Set of tags includes liking the acquisition number for obtaining the time and liking label of label；
The processing unit is according to the hobby set of tags of the user, hobby label time and hobby label number, to described
User preferences set of tags carries out tag sorting, obtains the user preferences tag sorting group；Wherein, when the user preferences label
Between Sort Priority be greater than the user preferences label number Sort Priority, like in the user preferences tag sorting group
Label successively sorts from high to low according to hobby label weight；
The processing unit selects the hobby label of preset quantity as the user from the user preferences tag sorting group
Recruit the hobby label of operation data.
9. according to device described in claim 6 to 8 any one, which is characterized in that the operation data of the user includes institute
State user from media manipulation data, electric quotient data, investigational data, knowledge payment data, ad click data, knowledge question number
It is thumbed up in data according to, community data, search data, shared economic data, user's evaluation data, user's polled data and user
It is one or more；Wherein, the user's operation data are stored in the user's operation data on block chain.
10. device according to claim 6, which is characterized in that the user is to use the recruitment data consumers for the first time
The user at end.
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| CN201910676396.4A CN110377838A (en) | 2019-07-25 | 2019-07-25 | Recruitment data recommendation method and its device on block chain |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523862A (en) * | 2020-04-27 | 2020-08-11 | 广东电网有限责任公司培训与评价中心 | Method for acquiring talent data and related equipment |
| CN112445979A (en) * | 2020-12-29 | 2021-03-05 | 普工宝网络科技(重庆)有限公司 | Talent information intelligent matching method and system |
-
2019
- 2019-07-25 CN CN201910676396.4A patent/CN110377838A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111523862A (en) * | 2020-04-27 | 2020-08-11 | 广东电网有限责任公司培训与评价中心 | Method for acquiring talent data and related equipment |
| CN111523862B (en) * | 2020-04-27 | 2024-02-23 | 广东电网有限责任公司培训与评价中心 | Method and related equipment for acquiring talent data |
| CN112445979A (en) * | 2020-12-29 | 2021-03-05 | 普工宝网络科技(重庆)有限公司 | Talent information intelligent matching method and system |
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