CN106021274A - Model system and method for talent ability evaluation based on big data - Google Patents
Model system and method for talent ability evaluation based on big data Download PDFInfo
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Abstract
The invention relates to the technical field of big data and discloses a model system and method for talent ability evaluation based on big data. The system comprises a talent big data information collection module, a talent big data distributed management module, a talent big data analysis module, a talent ability accurate recommendation module and a talent ability multi-dimensional visual display module. Aiming at problems such as disconnection among a social talent chain, an industrial chain, an innovation chain and a capital chain, a regional talent supporting service platform based on the big data is established; an oriented pushing service of information involving science, technologies, innovation and entrepreneurship based on the big data is implemented; a service scope of innovation and entrepreneurship talents is expanded; a utilization rate of social, scientific and technological resources is increased; a service life of the high-level talents is increased; and optimal configuration of the social, scientific and technological resources can be implemented through combination of modern advanced network technologies and traditional docking manners.
Description
Technical field
The present invention relates to big data technique field, particularly relate to a kind of talent ability evaluation based on big data
Model system and method.
Background technology
Society, the competition in market is the competition of the talent after all, each rank of the management strategy of enterprise
Section all must have the suitable talent as support, but the epoch interconnected at this, the supply and demand of the talent
All the time it is in imbalance state, lacks a platform linking up personnel training and enterprise's demand for talent mechanism.When
Before, although there is a lot of large enterprise to establish talent's evaluating system of enterprises one after another, but framework is inadequate
Flexibly, size range is little, and versatility is low.And, for large-scale recruitment mechanism, also it is not set up people
Merit rating mechanism, the load capacity of its talent's evaluating system is also brought by the big data of the talent of magnanimity
Great challenge.Occur in that the society chain of talented persons, industrial chain, innovation chain, capital chain mutually disconnection etc. are asked
Topic.
Summary of the invention
It is desirable to provide a kind of talent ability model system based on big data and method, very well
Solve the society chain of talented persons, problem that industrial chain, innovation chain, capital chain mutually disconnect.
The technical scheme is that a kind of talent ability model system based on big data, including:
The talent's big data information acquisition module, is used for gathering personal information, forms the big data message of the talent；
The talent's big data distributed management module, is used for processing and preserve the big data message of the described talent；
The big data analysis module of the talent, for calculating according to classification, cluster, data pick-up, Distributed Calculation
Method carries out analysis and the excavation of the big data message of the described talent, sets up talent ability evaluation model；
The accurate recommending module of talent ability, for according to described talent ability evaluation model, the ability of the talent
With demand resource, use proposed algorithm based on collaborative filtering, automatically precisely recommend position for the talent, for
The talent precisely recommends in enterprise；
Talent ability various dimensions visual presentation module, for many-sided ability of the visual presentation talent.
Further, the described talent big data information acquisition module, use web crawlers technology, gather with
The big data of personal information centered by the talent, including individual essential information, education experience, working experience,
Employment intention, project experience information and the real-time update of this category information, and the information collected is stored in
In data base.
Further, the described talent big data distributed management module, use data integration, data regularization,
Data scrubbing, data conversion method, process the talent that the described talent big data information acquisition module is gathered
Big data message, and big for described talent data message is converted into the normal data lattice being applicable to data mining
Formula, and be saved in data base.
Further, the big data analysis module of the described talent, according to talent's ABC structure, technology wound
New height, the concrete evaluation index of Project Experience Design talent ability evaluation model, relevant criterion,
Build big data system based on Hadoop, use classification, cluster, data pick-up, Distributed Calculation
Algorithm carries out analysis and the excavation of the big data of the talent, sets up talent ability evaluation model.
Further, the accurate recommending module of described talent ability, according to described talent ability evaluation model and
Enterprise's demand to resources of human talents, uses proposed algorithm based on collaborative filtering, by analyzing the emerging of the talent
Interest hobby and enterprise's demand to personnel types, it is achieved precisely recommend position for the talent, accurate for enterprise
Recommend the talent.
Further, described talent ability various dimensions visual presentation module, for each side energy of the talent
Power, by every ability of the talent in talent ability evaluation model with visualization method, use block diagram,
Radar map, colored graph, the chart of ability growth curve figure various ways display intuitively.
A kind of method that present invention also offers talent ability evaluation model based on big data, including following
Step:
Step one, use web crawlers technology, gather personal information, including name, the age, sex,
Occupation, education experience, working experience, employment intention, project experience essential information, take out in data
Characteristic information required in analysis, and the information collected is deposited in data base, form the talent big
Data message；
Step 2, by the separate sources collected in step one, form, the big data of the talent of feature character
Information use federal style, realize based on Middleware Model and Data warehouse schema method data logically or
Physically organic concentration, forms secondary data；
Step 3, represents described secondary data collection reduction, the scale of reduction data set, is keeping the talent
On the premise of information data original appearance, simplify the data volume of talents information data, form reduction talent's data；
Described reduction talent's data are carried out data cleansing, find and correct the described reduction talent by step 4
Discernible mistake in data, processes invalid value and missing values, carries out data cleansing, is formed and cleans descendant
Just data；
Step 5, by talent's data after described cleaning by smooth gathering, Data generalization, normalized fashion
Change into the data mode being applicable to build talent ability evaluation model, form final talents information data,
Then step 6 is gone to；
Step 6, according to talent's ABC structure, technical innovation level, Project Experience Design people
Just the concrete evaluation index of ability evaluation model, relevant criterion, then go to step 7；
Step 7, for the described final talents information data obtained by step 5, use classification, cluster,
Data pick-up, Distributed Calculation algorithm carry out analysis and the excavation of talent's data message, and according to step 6
The obtained concrete evaluation index of talent ability evaluation model, relevant criterion are set up talent ability and are evaluated mould
Type；
Step 8, the demand to resources of human talents according to talent ability evaluation model and enterprise, use based on association
With the proposed algorithm filtered, by analyzing talent ability and enterprise's demand relation to personnel types, it is achieved
Precisely recommend position for the talent, precisely recommend the talent for enterprise；
Step 9, the method using information visualization, for each side ability of the talent, by step 7
Obtained by talent ability evaluation model with visualization method, use block diagram, radar map, colored graph,
The chart of ability growth curve figure various ways displays intuitively.
The invention has the beneficial effects as follows: the present invention gathers the talent's by the talent's big data information acquisition module
Relevant information is also pooled in the big data system of the talent, forms the talents information data base of magnanimity, and
According to classification, the big data analysis algorithm such as cluster, data pick-up, Distributed Calculation, qualified database is entered
Row is analyzed, and sets up talent ability evaluation model, and uses various dimensions visualization method to be commented by talent ability
Valency model displays intuitively.The most de-for the chain of talented persons of society, industrial chain, innovation chain, capital chain
The problems such as joint, build regions based on big data talent support service platform, it is achieved sections based on big data
Skill innovation undertaking information orientation Push Service, has widened the service face of Innovation personnel, has improve society
Scientific and technological resources utilization rate, improve the service level of high-level personnel, by modern advanced networks technology with
The mode that tradition docking means combine, it is achieved that distributing rationally of society's scientific and technological resources.
Accompanying drawing explanation
Fig. 1 be the present invention system structure schematic diagram；
Fig. 2 is the information gathering flow chart of the present invention；
Fig. 3 is the system architecture schematic diagram of the present invention.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing,
The present invention is further elaborated.
As shown in Figure 1, 2, the invention provides a kind of talent ability model system based on big data,
Including:
The talent's big data information acquisition module, is used for gathering personal information, forms the big data message of the talent,
The talent's big data information acquisition module, uses web crawlers technology, gathers the individual's letter centered by the talent
Cease big data, including individual's essential information, education experience, working experience, employment intention, project experience
Information and the real-time update of this category information, and the information collected is stored in data base, the talent is basic
Information spinner name to be included, age, sex, occupation etc., the object of collection includes all types of talents storehouse, society
Hand over network, project database or the object of other storage talent's data；The talent's big data distributed management
Module, is used for processing and preserving the big data message of the described talent, the talent's big data distributed management module,
Use data integration, data regularization, data scrubbing, data conversion method, process the big data of the described talent
The big data message of the talent that information acquisition module is gathered, and big for described talent data message is converted into suitable
For the standard data format of data mining, and being saved in data base, this data base can be data set
City, data warehouse, the storage of manipulation type data or other kinds of data base；The talent's big data analysis mould
Block, for carrying out the big data of the described talent according to classification, cluster, data pick-up, Distributed Calculation algorithm
The analysis of information and excavation, set up talent ability evaluation model, and the big data analysis module of the talent is according to the talent
ABC structure, technical innovation level, Project Experience Design talent ability evaluation model concrete
Evaluation index, relevant criterion, build big data system based on Hadoop, use classification, cluster,
Data pick-up, Distributed Calculation algorithm carry out analysis and the excavation of the big data of the talent, set up talent ability and comment
Valency model, forms the talent and precisely mates with project, also include the analysis of other data；Talent ability is accurate
Recommending module, for according to described talent ability evaluation model, the ability of the talent and demand resource, uses
Proposed algorithm based on collaborative filtering, automatically precisely recommends position for the talent, precisely recommends the talent for enterprise,
The accurate recommending module of talent ability, the need to resources of human talents according to described talent ability evaluation model and enterprise
Asking, use proposed algorithm based on collaborative filtering, hobby and enterprise by the analysis talent are to people
The just demand of type, it is achieved precisely recommend position for the talent, precisely recommends the talent, including the talent for enterprise
Recommendation, chance recommendation, precisely recommendation or the recommendation of other modes；The visualization exhibition of talent ability various dimensions
Show module, for many-sided ability of the visual presentation talent.Talent ability various dimensions visual presentation mould
Block, for each side ability of the talent, by every ability of the talent in talent ability evaluation model with visually
The method changed, uses other various ways such as block diagram, radar map, colored graph, ability growth curve figure
Chart display intuitively.The present invention define a kind of talent's data acquisition, data integration,
Data regularization, data cleansing, data conversion, the series of data processing routine of data mining, to the talent
Big data message carries out Treatment Analysis, mutual for the chain of talented persons of society, industrial chain, innovation chain, capital chain
The problems such as disconnection, build regions based on big data talent support service platform, it is achieved based on big data
Scientific and technical innovation foundation information orientation Push Service, has widened the service face of Innovation personnel, has improve society
Can scientific and technological resources utilization rate, improve the service level of high-level personnel, by modern advanced networks technology
The mode combined with tradition docking means, it is achieved that distributing rationally of society's scientific and technological resources.
A kind of method that present invention also offers talent ability evaluation model based on big data, including following
Step:
Step one, the collection of talent's essential information, use web crawlers technology, in all types of talents storehouse, society
Network, scientific research institutions or Archives in Universities storehouse or other qualified databases is handed over to gather personal information, the talent
Information includes name, age, sex, occupation, education experience, working experience, employment intention, project
Experience essential information, takes out characteristic information required in data analysis, and the information that will collect
It is deposited in data base, forms the big data message of the talent；
Step 2, by the separate sources collected in step one, form, the big data of the talent of feature character
Information use federal style, realize based on Middleware Model and Data warehouse schema method data logically or
Physically organic concentration, forms secondary data；
Step 3, represents described secondary data collection reduction, the scale of reduction data set, is keeping the talent
On the premise of information data original appearance, simplify the data volume of talents information data, form reduction talent's data；
Described reduction talent's data are carried out data cleansing, find and correct the described reduction talent by step 4
Discernible mistake in data, processes invalid value and missing values, carries out data cleansing, is formed and cleans descendant
Just data, it is achieved the standardization of talent ability level and digitized；
Step 5, by talent's data after described cleaning by smooth gathering, Data generalization, normalized fashion
Change into the data mode being applicable to build talent ability evaluation model, form final talents information data,
Then step 6 is gone to；And the foundation of talent ability model framework, including amount to framework, Model Abstraction,
Logic function and other frameworks.
Step 6, according to talent's ABC structure, technical innovation level, Project Experience Design people
Just the concrete evaluation index of ability evaluation model, relevant criterion, then go to step 7；Talent ability mould
Type evaluation index includes knowledge structure, innovation ability, practical experience and otherwise ability.
Step 7, for the described final talents information data obtained by step 5, use classification, cluster,
The big data analysis algorithm of data pick-up, Distributed Calculation or other modes carries out talent's data message
Analyze and excavate, and according to the concrete evaluation index of the talent ability evaluation model obtained by step 6, phase
Pass standard sets up talent ability evaluation model；
Step 8, the demand to resources of human talents according to talent ability evaluation model and enterprise, use based on association
With the proposed algorithm filtered, by analyzing talent ability and enterprise's demand relation to personnel types, it is achieved
Precisely recommend position for the talent, precisely recommend for enterprise the talent i.e. enterprise to send out according to talent ability evaluation model
The ability scoring place of its required personnel types of cloth and this talent is interval, by further for the demand of enterprise
Digitized, precision, to realize the Dock With Precision Position of the talent and enterprise, ultimately form talent ability and evaluate mould
Type is applied, and forms talent's recommendation, precisely recommendation and the application of other various ways；
Step 9, the method using information visualization, for each side ability of the talent, by step 7
Obtained by talent ability evaluation model with visualization method, use block diagram, radar map, colored graph,
The chart of ability growth curve figure or other various ways displays intuitively, forms people's ability
Power visual representing, the level of ability of each side existing to the talent, each side capability learning course with
And the weak point of current ability has one to show intuitively.
A kind of based on big data the talent ability model systems of present invention offer and method, to the talent
These big data of information are collected, analyze, calculating processes, well solve the society chain of talented persons,
The problem that industrial chain, innovation chain, capital chain mutually disconnect.
Certainly, the present invention also can have other various embodiments, spiritual and essence without departing substantially from the present invention
In the case of, those of ordinary skill in the art can make various corresponding change and deformation according to the present invention,
But these change accordingly and deform the protection domain that all should belong to appended claims of the invention.
Claims (7)
1. a talent ability model system based on big data, it is characterised in that including:
The talent's big data information acquisition module, is used for gathering personal information, forms the big data message of the talent；
The talent's big data distributed management module, is used for processing and preserve the big data message of the described talent；
The big data analysis module of the talent, for calculating according to classification, cluster, data pick-up, Distributed Calculation
Method carries out analysis and the excavation of the big data message of the described talent, sets up talent ability evaluation model；
The accurate recommending module of talent ability, for according to described talent ability evaluation model, the ability of the talent
With demand resource, use proposed algorithm based on collaborative filtering, automatically precisely recommend position for the talent, for
The talent precisely recommends in enterprise；
Talent ability various dimensions visual presentation module, for many-sided ability of the visual presentation talent.
Talent ability model system based on big data the most according to claim 1, its feature
It is: the described talent big data information acquisition module, uses web crawlers technology, during collection with the talent is
The big data of personal information of the heart, including individual essential information, education experience, working experience, employment intention,
Project experience information and the real-time update of this category information, and the information collected is stored in data base.
Talent ability model system based on big data the most according to claim 1, its feature
It is: the described talent big data distributed management module, uses data integration, data regularization, data clear
Reason, data conversion method, process the big data of the talent that the described talent big data information acquisition module is gathered
Information, and big for described talent data message is converted into the standard data format being applicable to data mining, and
It is saved in data base.
Talent ability model system based on big data the most according to claim 1, its feature
Be: the big data analysis module of the described talent, according to talent's ABC structure, technical innovation level,
The concrete evaluation index of Project Experience Design talent ability evaluation model, relevant criterion, build based on
The big data system of Hadoop, uses classification, cluster, data pick-up, Distributed Calculation algorithm to carry out people
Just the analysis of big data and excavation, set up talent ability evaluation model.
Talent ability model system based on big data the most according to claim 1, its feature
It is: the accurate recommending module of described talent ability, according to described talent ability evaluation model and enterprise to people
The just demand of resource, uses proposed algorithm based on collaborative filtering, by analyze the talent hobby with
And the demand that enterprise is to personnel types, it is achieved precisely recommend position for the talent, precisely recommend the talent for enterprise.
Talent ability model system based on big data the most according to claim 1, its feature
It is: described talent ability various dimensions visual presentation module, for each side ability of the talent, by people
Just in ability evaluation model every ability of the talent with visualization method, use block diagram, radar map,
Colored graph, the chart of ability growth curve figure various ways display intuitively.
7. the method for talent ability evaluation models based on big data, it is characterised in that: include following
Step:
Step one, use web crawlers technology, gather personal information, including name, the age, sex,
Occupation, education experience, working experience, employment intention, project experience essential information, take out in data
Characteristic information required in analysis, and the information collected is deposited in data base, form the talent big
Data message；
Step 2, by the separate sources collected in step one, form, the big data of the talent of feature character
Information use federal style, realize based on Middleware Model and Data warehouse schema method data logically or
Physically organic concentration, forms secondary data；
Step 3, represents described secondary data collection reduction, the scale of reduction data set, is keeping the talent
On the premise of information data original appearance, simplify the data volume of talents information data, form reduction talent's data；
Described reduction talent's data are carried out data cleansing, find and correct the described reduction talent by step 4
Discernible mistake in data, processes invalid value and missing values, carries out data cleansing, is formed and cleans descendant
Just data；
Step 5, by talent's data after described cleaning by smooth gathering, Data generalization, normalized fashion
Change into the data mode being applicable to build talent ability evaluation model, form final talents information data,
Then step 6 is gone to；
Step 6, according to talent's ABC structure, technical innovation level, Project Experience Design people
Just the concrete evaluation index of ability evaluation model, relevant criterion, then go to step 7；
Step 7, for the described final talents information data obtained by step 5, use classification, cluster,
Data pick-up, Distributed Calculation algorithm carry out analysis and the excavation of talent's data message, and according to step 6
The obtained concrete evaluation index of talent ability evaluation model, relevant criterion are set up talent ability and are evaluated mould
Type；
Step 8, the demand to resources of human talents according to talent ability evaluation model and enterprise, use based on association
With the proposed algorithm filtered, by analyzing talent ability and enterprise's demand relation to personnel types, it is achieved
Precisely recommend position for the talent, precisely recommend the talent for enterprise；
Step 9, the method using information visualization, for each side ability of the talent, by step 7
Obtained by talent ability evaluation model with visualization method, use block diagram, radar map, colored graph,
The chart of ability growth curve figure various ways displays intuitively.
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