CN107680018A - A kind of college entrance will based on big data and artificial intelligence makes a report on system and method - Google Patents
A kind of college entrance will based on big data and artificial intelligence makes a report on system and method Download PDFInfo
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Abstract
The invention discloses a kind of college entrance will based on big data and artificial intelligence to make a report on system and method, it is proposed to combine career development in the market when college entrance will is filled in and require situation, the content of each position, the specialty of demand, following developing direction and the college entrance will system of making a report on are done into combination, and this system is constantly updated, it is professional as needed for intelligent algorithm recommended user；Simultaneously quality and efficiency are made a report on using system output automation college entrance will ranking, optimization college entrance will.The present invention increases workplace specialized information and makes a report on the blank breach of matching with college entrance will, carry out automating external data collection, intellectual analysis, aspiration policy optimization and efficiency optimization based on big data, cloud, artificial intelligence and external data collector, solve college entrance will and make a report on and done a job not suited to one's training with work, the problem of college entrance will makes a report on difficulty, and optimization degree is not high, tactic is not high, fraction utilization rate is not high.
Description
Technical field
The present invention relates to education sector, and in particular to a kind of college entrance will based on big data and artificial intelligence makes a report on system
And method.
Background technology
College entrance will makes a report on the developing direction for determining that examinee is professional from now on, it may be said that for a people life have to
Close important effect.The decision-making of entering a higher school of science is never only to select a school eager to learn according to fraction, it is often more important that according to certainly
The factors such as the characteristics of body, the trend of following talents market and college entrance examination (course) achievement, select most suitable specialty and school.
Current product and method do not embody Vehicles Collected from Market position and colleges and universities, the matching degree of colleges and universities' specialty, to each
Professional content and career development are not described in detail, and for the special disciplines required for occupation, professional knowledge, professional water
It is flat not propose to be distinctly claimed, and student is easier handle as a colony for being introduced into society and lacking experience on major choice
Hold inaccurate, causing to learn specialty, target vocational match is low from now on or can not match with it.In recent years, college student graduation is faced below
It is more and more to learn the situation that specialty is not consistent with the occupation in planning.
And simultaneously, exist on the market at present carry out college entrance examination information search, specialty search, source of students college entrance examination chalk score line,
The product of the inquiries such as college admission line, the inquiry of each province of colleges and universities admission number and professional admission line.But current method is only limitted to look into
Ask, have not been able to the purpose for reaching analysis and intelligent recommendation.
The content of the invention
For problem above, the invention provides a kind of college entrance will based on big data and artificial intelligence make a report on system and
Method, propose to combine career development in the market when college entrance will is filled in and require situation, by the content of each position, demand
Specialty, following developing direction and the college entrance will system of making a report on combine, and constantly update this system, recommended by intelligent algorithm
It is professional needed for user；Meanwhile automation college entrance will ranking is exported using the system, optimization college entrance will makes a report on quality and effect
Rate.
To achieve these goals, the technical solution adopted by the present invention is as follows：It is a kind of based on big data and artificial intelligence
College entrance will makes a report on system, including：Professional big data automation collection device, professional large database concept, the automation of college entrance examination big data are adopted
Optimization module and college entrance examination are made a report in storage, college entrance examination large database concept, big data Intelligent treatment center, the professional generation module of intelligence, college entrance examination
Volunteer list automatic generator；
The professional big data automation collection device, according to certain renewal time, to the whole network every profession and trade post, position
Action, developing direction, require that the information such as specialty, educational background, professional standards carries out automatic data collection, the collector is supported
Form and data the extraction configuration of each information source；
The professional large database concept receives updating the data for the professional big data automation collection device, and data are divided
Analyse, extract and collect, wherein specialized information is corresponding with professional attributes in college entrance examination large database concept, and it is big to establish accurately occupational information
Data；
The college entrance examination big data automation collection device, by certain renewal time is referred to, to online national college entrance examination information, colleges and universities
And specialized information, University Enrollment carry out automatic data collection, equally, the collector support each information source form and
Data extraction configuration；
The college entrance examination large database concept receives updating the data for the college entrance examination big data automation collection device, with administrator configurations
Data, former years College Recruitment Students admission information, current year college entrance examination each side information and the phase such as specialty and professional direction, talent market
With reference to and verification, establish accurately college entrance examination information big data；
The big data Intelligent treatment center, according to certain renewal time, to professional large database concept and college entrance examination big data
The information in storehouse carries out automatic data collection, and carries out vector association to the content of two databases with specialty for attribute；
The professional generation module of intelligence, according to the inclined of the professional vector model of the on-job sparetime university's lane database foundation of user
To, carry out the multiple domain score value based on content and calculate, obtain the first score value for making a report on occupation, and according to the first score value to duty
Industry, which is ranked up, obtains position collection, so as to obtain the first of user the ranking specialty collection, generates the professional number closest to user's request
According to；The professional generation module of intelligence is classified and matched to data using Bayes's classification and euclidian metric method；
The Bayes's classification is a kind of algorithm classified using probability statistics knowledge；Utilize statistical Bayes
Theorem, by the prior probability of some object, its posterior probability is calculated, then select the class of maximum a posteriori probability right as this
As affiliated class, there is higher classification effectiveness；Effectively big data in database can be divided by the sorting technique
Class collects, and is easy to follow-up Data Matching；
The euclidian metric (euclidean metric) is the distance definition of a generally use, refers to and ties up sky in n
Between in actual distance between two points, or the natural length of vector, its basic usage is to calculate first between two points
Euclidean distance, similarity is then calculated according to Euclidean distance；Using the algorithm by user input data and database
Interior existing particular community information carries out similarity mode calculating, and then recommends the accurately and effectively specialty letter of meet demand for user
Breath；
Optimization module is made a report in the college entrance examination, same to use after the ranking for receiving the professional generation module of intelligence is professional
Bayes's classification and euclidian metric method are analyzed and matched to different colleges and universities, fraction, acceptance rate etc., meanwhile, by certainly
Plan tree learns ID3 algorithms and LEAST SQUARES MODELS FITTING and college entrance will admission situation is simulated, Optimized Matching and make a report on strategy,
Efficiency is made a report in raising；
The decision tree learning is a kind of Inductive Learning, and data are classified, and the purpose of prediction is reached with this；
ID3 algorithms are by calculating the information gain of each attribute, it is believed that information gain it is high be attribute, division every time is chosen information and increased
Beneficial highest attribute is the criteria for classifying, repeats this process, until the decision tree of the generation perfect classification based training sample of one energy；It is logical
ID3 algorithms are crossed, college entrance will admission prediction is simulated, predicts probability of entering a higher school；
The LEAST SQUARES MODELS FITTING, it is a kind of mathematical optimization techniques, data is found by the quadratic sum for minimizing error
Optimal function matching, can be used to effective simulation acceptance cut-off point then；
The college entrance examination makes a report on optimization module and learns and identify various college entrance will tables by accurate pattern match, artificial intelligence
Single difference and strategy, pad strategy is protected according to user characteristic data and the most suitable punching of aspiration tendency selection are steady；
The college entrance will list automatic generator is made a report on optimization module with college entrance examination and mutually exchanged using information express passway
Information, automation quickly generate college entrance will list, and the college entrance will list includes internal cryptographic form and displaying output lattice
Formula, displaying output format are made a report on consistent with actual college entrance will.
A kind of college entrance will based on big data and artificial intelligence makes a report on method, and this method comprises the following steps：
(1) carry out automating external data by professional big data automation collection device and gather, during according to certain renewal
Between, the information such as the whole network every profession and trade post, the action of position, developing direction, requirement specialty, educational background, professional standards is carried out
Automatic data collection, the collector support form and the data extraction configuration of each information source；
(2) professional large database concept renewal, receives updating the data for professional big data automation collection device, to gathering the number come
It is believed that breath is analyzed, extracted and collected；
(3) by college entrance examination big data automation collection device, by referring to certain renewal time, to online national college entrance examination information,
Colleges and universities and specialized information, University Enrollment carry out automatic data collection, and equally, the collector supports the lattice of each information source
Formula and data extraction configuration；
(4) college entrance examination large database concept receives updating the data for the college entrance examination big data automation collection device, with administrator configurations
Data, former years College Recruitment Students admission information, current year college entrance examination each side information and the phase such as specialty and professional direction, talent market
With reference to and verification, establish accurately college entrance examination information big data；
(5) two large database concept data are merged to big data Intelligent treatment center, and do the association of relevant parameter；
(6) user input instruction is received, user is operated by operation interface, controlled and used；It is or keeper, each
Role-security personnel are configured to system by Back Administration Module, updated, data maintenance, operation maintenance；
(7) intelligence specialty generation：The professional generation module of intelligence according to the occupation that the on-job sparetime university's lane database of user is established to
The deviation of model is measured, the multiple domain score value based on content is carried out and calculates, obtain the first score value for making a report on occupation, and according to first
Score value is ranked up to occupation and obtains position collection, and so as to obtain the first of user the ranking specialty collection, generate needs closest to user
The expert data asked；The professional generation module of intelligence using Bayes's classification and euclidian metric method data are carried out classification and
Match somebody with somebody, the specialty of output matching；
(8) optimization module output is made a report in college entrance examination：Calculated by Bayes's classification, euclidian metric, decision tree ID3 is calculated
Method, Optimized model is established, then model is predicted by least square method, the model after output optimization；
(9) analysis produces aspiration：College entrance will list automatic generator makes a report on optimization module with college entrance examination and utilizes information quick
The mutual exchange of information of passage, automation quickly generate college entrance will list, and the college entrance will list includes internal cryptographic form
With displaying output format, displaying output format is made a report on consistent with actual college entrance will.
Beneficial effects of the present invention：The present invention, which adds workplace specialized information the blank of matching is made a report on college entrance will, to be lacked
Mouthful, the function that advanced artificial intelligence technology is used to aid in college entrance will to make a report on decision-making；Solve college entrance will to make a report on and work
Do a job not suited to one's training, the problem of college entrance will makes a report on difficulty, and optimization degree is not high, tactic is not high, fraction utilization rate is not high, based on big
Data, cloud, artificial intelligence and external data collector carry out automating external data collection, intellectual analysis, aspiration policy optimization
And efficiency optimization, make a report on the mesh of system and method so as to be reached for examinee and parent's offer science, reasonable, efficient college entrance will
's.
Brief description of the drawings
Fig. 1 is present system structural representation；
Fig. 2 is background of invention system structure diagram.
Embodiment
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
As shown in Figure 1, 2, a kind of college entrance will based on big data and artificial intelligence provided by the invention makes a report on system, bag
Include：It is professional big data automation collection device, professional large database concept, college entrance examination big data automation collection device, college entrance examination large database concept, big
Optimization module and college entrance will list automatic generator are made a report in data intelligence processing center, the professional generation module of intelligence, college entrance examination；
The professional big data automation collection device, according to certain renewal time, to the whole network every profession and trade post, position
Action, developing direction, require that the information such as specialty, educational background, professional standards carries out automatic data collection, the collector is supported
Form and data the extraction configuration of each information source；
The professional large database concept receives updating the data for the professional big data automation collection device, and data are divided
Analyse, extract and collect, wherein specialized information is corresponding with professional attributes in college entrance examination large database concept, and it is big to establish accurately occupational information
Data；
The college entrance examination big data automation collection device, by certain renewal time is referred to, to online national college entrance examination information, colleges and universities
And specialized information, University Enrollment carry out automatic data collection, equally, the collector support each information source form and
Data extraction configuration；
The college entrance examination large database concept receives updating the data for the college entrance examination big data automation collection device, with administrator configurations
Data, former years College Recruitment Students admission information, current year college entrance examination each side information and the phase such as specialty and professional direction, talent market
With reference to and verification, establish accurately college entrance examination information big data；
The big data Intelligent treatment center, according to certain renewal time, to professional large database concept and college entrance examination big data
The information in storehouse carries out automatic data collection, and carries out vector association to the content of two databases with specialty for attribute；
The professional generation module of intelligence, according to the inclined of the professional vector model of the on-job sparetime university's lane database foundation of user
To, carry out the multiple domain score value based on content and calculate, obtain the first score value for making a report on occupation, and according to the first score value to duty
Industry, which is ranked up, obtains position collection, so as to obtain the first of user the ranking specialty collection, generates the professional number closest to user's request
According to；The professional generation module of intelligence is classified and matched to data using Bayes's classification and euclidian metric method；
The Bayes's classification is a kind of algorithm classified using probability statistics knowledge；Utilize statistical Bayes
Theorem, by the prior probability of some object, its posterior probability is calculated, then select the class of maximum a posteriori probability right as this
As affiliated class, there is higher classification effectiveness；Effectively big data in database can be divided by the sorting technique
Class collects, and is easy to follow-up Data Matching；
The euclidian metric (euclidean metric) is the distance definition of a generally use, refers to and ties up sky in n
Between in actual distance between two points, or the natural length of vector, its basic usage is to calculate first between two points
Euclidean distance, similarity is then calculated according to Euclidean distance；Using the algorithm by user input data and database
Interior existing particular community information carries out similarity mode calculating, and then recommends the accurately and effectively specialty letter of meet demand for user
Breath；
Optimization module is made a report in the college entrance examination, same to use after the ranking for receiving the professional generation module of intelligence is professional
Bayes's classification and euclidian metric method are analyzed and matched to different colleges and universities, fraction, acceptance rate etc., meanwhile, by certainly
Plan tree learns ID3 algorithms and LEAST SQUARES MODELS FITTING and college entrance will admission situation is simulated, Optimized Matching and make a report on strategy,
Efficiency is made a report in raising；
The decision tree learning is a kind of Inductive Learning, and data are classified, and the purpose of prediction is reached with this；
ID3 algorithms are by calculating the information gain of each attribute, it is believed that information gain it is high be attribute, division every time is chosen information and increased
Beneficial highest attribute is the criteria for classifying, repeats this process, until the decision tree of the generation perfect classification based training sample of one energy；It is logical
ID3 algorithms are crossed, college entrance will admission prediction is simulated, predicts probability of entering a higher school；
The LEAST SQUARES MODELS FITTING, it is a kind of mathematical optimization techniques, data is found by the quadratic sum for minimizing error
Optimal function matching, can be used to effective simulation acceptance cut-off point then；
The college entrance examination makes a report on optimization module and learns and identify various college entrance will tables by accurate pattern match, artificial intelligence
Single difference and strategy, pad strategy is protected according to user characteristic data and the most suitable punching of aspiration tendency selection are steady；
The college entrance will list automatic generator is made a report on optimization module with college entrance examination and mutually exchanged using information express passway
Information, automation quickly generate college entrance will list, and the college entrance will list includes internal cryptographic form and displaying output lattice
Formula, displaying output format are made a report on consistent with actual college entrance will.
A kind of college entrance will based on big data and artificial intelligence provided by the invention makes a report on method, and this method includes following
Step：
(1) carry out automating external data by professional big data automation collection device and gather, during according to certain renewal
Between, the information such as the whole network every profession and trade post, the action of position, developing direction, requirement specialty, educational background, professional standards is carried out
Automatic data collection, the collector support form and the data extraction configuration of each information source；
(2) professional large database concept renewal, receives updating the data for professional big data automation collection device, to gathering the number come
It is believed that breath is analyzed, extracted and collected；
(3) by college entrance examination big data automation collection device, by referring to certain renewal time, to online national college entrance examination information,
Colleges and universities and specialized information, University Enrollment carry out automatic data collection, and equally, the collector supports the lattice of each information source
Formula and data extraction configuration；
(4) college entrance examination large database concept receives updating the data for the college entrance examination big data automation collection device, with administrator configurations
Data, former years College Recruitment Students admission information, current year college entrance examination each side information and the phase such as specialty and professional direction, talent market
With reference to and verification, establish accurately college entrance examination information big data；
(5) two large database concept data are merged to big data Intelligent treatment center, and do the association of relevant parameter；
(6) user input instruction is received, user is operated by operation interface, controlled and used；It is or keeper, each
Role-security personnel are configured to system by Back Administration Module, updated, data maintenance, operation maintenance；
(7) intelligence specialty generation：The professional generation module of intelligence according to the occupation that the on-job sparetime university's lane database of user is established to
The deviation of model is measured, the multiple domain score value based on content is carried out and calculates, obtain the first score value for making a report on occupation, and according to first
Score value is ranked up to occupation and obtains position collection, and so as to obtain the first of user the ranking specialty collection, generate needs closest to user
The expert data asked；The professional generation module of intelligence using Bayes's classification and euclidian metric method data are carried out classification and
Match somebody with somebody, the specialty of output matching；
(8) optimization module output is made a report in college entrance examination：Calculated by Bayes's classification, euclidian metric, decision tree ID3 is calculated
Method, Optimized model is established, then model is predicted by least square method, the model after output optimization；
(9) analysis produces aspiration：College entrance will list automatic generator makes a report on optimization module with college entrance examination and utilizes information quick
The mutual exchange of information of passage, automation quickly generate college entrance will list, and the college entrance will list includes internal cryptographic form
With displaying output format, displaying output format is made a report on consistent with actual college entrance will.
It should be appreciated that the application of the present invention is not limited to above-mentioned citing, for those of ordinary skills, can
To be improved or converted according to the above description, all these modifications and variations should all belong to the guarantor of appended claims of the present invention
Protect scope.
Claims (2)
1. a kind of college entrance will based on big data and artificial intelligence makes a report on system, it is characterised in that including：Professional big data is certainly
In dynamicization collector, professional large database concept, college entrance examination big data automation collection device, college entrance examination large database concept, big data Intelligent treatment
Optimization module and college entrance will list automatic generator are made a report in the heart, the professional generation module of intelligence, college entrance examination；
The professional big data automation collection device, according to certain renewal time, the work to the whole network every profession and trade post, position
Content, developing direction, require that the information such as specialty, educational background, professional standards carries out automatic data collection, the collector supports each letter
Cease form and the data extraction configuration in source；
The professional large database concept receives updating the data for the professional big data automation collection device, data are analyzed,
Extract and collect, wherein specialized information is corresponding with professional attributes in college entrance examination large database concept, establishes the accurately big number of occupational information
According to；
The college entrance examination big data automation collection device, by referring to certain renewal time, to online national college entrance examination information, colleges and universities and specially
Industry information, University Enrollment carry out automatic data collection, and equally, the collector supports the form and data of each information source
Extraction configuration；
The college entrance examination large database concept receives updating the data for the college entrance examination big data automation collection device, with administrator configurations number
According to, former years College Recruitment Students admission information, current year college entrance examination each side information and specialty and professional direction, talent market etc. mutually tie
Close and verify, establish accurately college entrance examination information big data；
The big data Intelligent treatment center, according to certain renewal time, to professional large database concept and college entrance examination large database concept
Information carries out automatic data collection, and carries out vector association to the content of two databases with specialty for attribute；
The professional generation module of intelligence, the deviation for the professional vector model established according to the on-job sparetime university's lane database of user, enters
Multiple domain score value of the row based on content calculates, and obtains the first score value for making a report on occupation, and occupation is entered according to the first score value
Row sequence obtains position collection, so as to obtain the first of user the ranking specialty collection, generates the expert data closest to user's request；Intelligence
The professional generation module of energy is classified and matched to data using Bayes's classification and euclidian metric method；
The Bayes's classification utilizes statistical Bayes' theorem, by the prior probability of some object, calculates its posteriority
Probability, then select class of the class of maximum a posteriori probability belonging to as the object；It will be counted greatly in database by the sorting technique
According to Classifying Sum is carried out, it is easy to follow-up Data Matching；
The euclidian metric calculates the Euclidean distance between two points first, is then calculated according to Euclidean distance
Similarity；Existing particular community information in user input data and database is carried out by similarity mode calculating using the algorithm,
And then recommend the accurately and effectively specialized information of meet demand for user；
Optimization module is made a report in the college entrance examination, after the ranking for receiving the professional generation module of intelligence is professional, equally using pattra leaves
This classification and euclidian metric method are analyzed and matched to different colleges and universities, fraction, acceptance rate etc., meanwhile, pass through decision tree
Study ID3 algorithms and LEAST SQUARES MODELS FITTING to college entrance will admission situation simulate, Optimized Matching and make a report on strategy, improve
Make a report on efficiency；
The decision tree learning is classified to data, and the purpose of prediction is reached with this；ID3 algorithms are by calculating each attribute
Information gain, it is believed that information gain it is high be attribute, every time division choose information gain highest attribute be the criteria for classifying, weigh
This multiple process, until the decision tree of the generation perfect classification based training sample of one energy；By ID3 algorithms, college entrance will is enrolled
Prediction is simulated, and predicts probability of entering a higher school；
The optimal function that the LEAST SQUARES MODELS FITTING finds data by minimizing the quadratic sum of error matches, for effective
Simulate acceptance cut-off point then；
The college entrance examination makes a report on optimization module and learns and identify various college entrance will lists by accurate pattern match, artificial intelligence
Difference and strategy, pad strategy is protected according to user characteristic data and the most suitable punching of aspiration tendency selection are steady；
The college entrance will list automatic generator makes a report on optimization module with college entrance examination and utilizes the mutual exchange of information of information express passway,
Automation quickly generates college entrance will list, and the college entrance will list includes internal cryptographic form and displaying output format, exhibition
It is consistent to show that output format is made a report on actual college entrance will.
2. a kind of college entrance will based on big data and artificial intelligence makes a report on method, it is characterised in that this method includes following step
Suddenly：
(1) carry out automating external data collection by professional big data automation collection device, it is right according to certain renewal time
The information such as the whole network every profession and trade post, the action of position, developing direction, requirement specialty, educational background, professional standards is automated
Data acquisition, the collector support form and the data extraction configuration of each information source；
(2) professional large database concept renewal, receives updating the data for professional big data automation collection device, believes gathering the data come
Breath is analyzed, extracted and collected；
(3) by college entrance examination big data automation collection device, by certain renewal time is referred to, to online national college entrance examination information, colleges and universities
And specialized information, University Enrollment carry out automatic data collection, equally, the collector support each information source form and
Data extraction configuration；
(4) college entrance examination large database concept receives the college entrance examination big data automation collection device and updated the data, with administrator configurations data,
Former years College Recruitment Students admission information, current year college entrance examination each side information and specialty and professional direction, talent market etc. are combined
And verification, establish accurately college entrance examination information big data；
(5) two large database concept data are merged to big data Intelligent treatment center, and do the association of relevant parameter；
(6) user input instruction is received, user is operated by operation interface, controlled and used；Or keeper, each role
Authority personnel are configured to system by Back Administration Module, updated, data maintenance, operation maintenance；
(7) intelligence specialty generation：The professional vectorial mould that the professional generation module of intelligence is established according to the on-job sparetime university's lane database of user
The deviation of type, carry out the multiple domain score value based on content and calculate, obtain the first score value for making a report on occupation, and according to the first scoring
Value is ranked up to occupation and obtains position collection, so as to obtain the first of user the ranking specialty collection, generates closest to user's request
Expert data；The professional generation module of intelligence is classified and matched to data using Bayes's classification and euclidian metric method,
The specialty of output matching；
(8) optimization module output is made a report in college entrance examination：Calculated, decision tree ID3 algorithms, built by Bayes's classification, euclidian metric
Vertical Optimized model, then model is predicted by least square method, the model after output optimization；
(9) analysis produces aspiration：College entrance will list automatic generator makes a report on optimization module with college entrance examination and utilizes information express passway
Mutual exchange of information, automation quickly generate college entrance will list, and the college entrance will list includes internal cryptographic form and exhibition
Show output format, displaying output format is made a report on consistent with actual college entrance will.
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