CN102768751A - Learning resource push system and learning resource push method - Google Patents

Learning resource push system and learning resource push method Download PDF

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CN102768751A
CN102768751A CN2011103211392A CN201110321139A CN102768751A CN 102768751 A CN102768751 A CN 102768751A CN 2011103211392 A CN2011103211392 A CN 2011103211392A CN 201110321139 A CN201110321139 A CN 201110321139A CN 102768751 A CN102768751 A CN 102768751A
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student
attribute
education resource
unit
vector
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CN102768751B (en
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王晶
马正方
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Shanghai Yi network technology Co., Ltd.
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SHANGHAI POWERPLUS NETWORK TECHNOLOGY Co Ltd
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Abstract

The invention discloses a learning resource push system and a learning resource push method, which enable learners to find proper learning resources from a large number of learning lists rapidly, conveniently and correctly; the technical scheme is as follows: the system endows learner attribute to a learner and endows learning resource attributes to the learning resources, and the correlation between the learner attributes and the learning resource attributes is established; the learner chooses the corresponding learner attribute under the determined background; and, the system determines the learning resource lists with high degree of correlation and matched with the leaner according to the attribute chosen by the leaner and the internally stored correlation between the learner attributes and the learning resource attributes, and pushes the lists to the learner.

Description

Education resource supplying system and method
Technical field
The present invention relates to carry out the education resource push method, relate in particular to, choose the system and method for education resource according to its demand of student's attributes extraction through the website.
Background technology
Along with the expansion of electronization study, individualized learning has the demand that improves day by day.So-called individualized learning is meant that the student can choose the education resource that matches and learn according to my subjective and objective attributes such as background, preference.As the website that education resource is provided, not only to satisfy the demand that the student chooses education resource, but also will accomplish fast with accurate.
Investigation according to one's analysis, one of maximum puzzlement of student's existence at present are how to face hundreds of even the thousands of education resource inventories that the website provides, and have no way of doing it.
For example, below be sales force's course inventory (part) on certain website:
Figure BDA0000100527930000011
Figure BDA0000100527930000021
Table 1
If do not understand student's subjective and objective attribute, do not know the degree of correlation that education resource is adaptive with it, find the resource that satisfies the self-study demand, not an easy thing really.
Summary of the invention
The objective of the invention is to address the above problem, a kind of education resource supplying system is provided, make the student can in the inventory of magnanimity, find suitable education resource fast, easily and accurately.
Another object of the present invention is to provide a kind of education resource method for pushing, make the student can in the inventory of magnanimity, find suitable education resource fast, easily and accurately.
Technical scheme of the present invention is: the present invention has disclosed a kind of education resource supplying system, and comprise DBM, processing module, module is set, display module and editor module, wherein:
Association between this database module stores student data, student's attribute, education resource data, education resource attribute, student's attribute and the education resource attribute;
This processing module; Connect this DBM,, this database is handled operation through the correlation matrix algorithm; Based on the association between said student's attribute and the education resource attribute; Obtain the degree of correlation of student and education resource, and the student's attribute stored of the student's attribute that provides according to this editor module and this DBM and the association between the education resource attribute, confirm the education resource inventory that pushes;
This is provided with module, connects this DBM through this processing module, and the association between student's attribute, education resource data, education resource attribute, student's attribute and the education resource attribute of storing in the database is set;
This display module connects this DBM through this processing module, shows student's attribute menu, education resource attribute menu, is higher than the education resource inventory of a threshold value with student's attribute degree of correlation;
This editor module connects this DBM through this processing module, receives student's input, to student's attribute of this processing module transmission student input.
Embodiment according to education resource supplying system of the present invention; Said student's attribute comprises student's objective attribute and student's subjective attribute; Wherein student's objective attribute comprises student's age, length of service, the most well educated, the character of work enterprise, the post attribute of a work recently, enterprise management level and the management culture characteristic of a work recently, and student's subjective attribute comprises that the student is to the preference of the preference of learning content, study form, to the cultural preference of business administration.
According to an embodiment of education resource supplying system of the present invention, said education resource attribute comprises and adapts to the post attribute, adapts to its work enterprise attributes, any one combination among student's educational background background, age and length of service, the study preference.
Embodiment according to education resource supplying system of the present invention; Said processing module comprises that further matrix construction unit, transitive closure computing unit, consistance judging unit, user ask map unit, user to ask to expand the unit, Resource Properties is expanded unit, angle computing unit, wherein:
Said matrix construction unit, structure student attribute variable's correlation matrix;
Said transitive closure computing unit connects said matrix construction unit, and said correlation matrix is carried out the transitive closure that interative computation obtains said correlation matrix;
Said consistance judging unit; Connect said transitive closure computing unit; Judge whether the twice interative computation result in front and back in the said transitive closure computing unit be consistent; If inconsistent then continue to carry out the computing of next round, if unanimity then ask map unit to be handled by said user by said transitive closure computing unit;
Said user asks map unit, connects said consistance judging unit, and user's request is mapped in the vector of matrix;
Said user asks to expand the unit, connects said user and asks map unit, and the vector that user's request is shone upon carries out the expansion of the degree of association;
Said Resource Properties is expanded the unit, connects said user and asks to expand the unit, carries out the vector that course shone upon and expands, and becomes object vector;
Said angle computing unit connects said Resource Properties and expands the unit, the angle of computation requests vector sum object vector, and carry out the ordering of correlativity based on angle.
The present invention has also disclosed a kind of education resource method for pushing, comprising:
Association between student's attribute, education resource data, education resource attribute, student's attribute and the education resource attribute is set;
Show student's attribute or receive student's input to confirm corresponding student's attribute;
According to the association between student's attribute, student's attribute and the education resource attribute, obtain the degree of correlation of student and education resource, show the education resource inventory that is higher than a threshold value with student's attribute degree of correlation.
Embodiment according to education resource method for pushing of the present invention; Said student's attribute comprises student's objective attribute and student's subjective attribute; Wherein student's objective attribute comprises student's age, length of service, the most well educated, the character of work enterprise, the post attribute of a work recently, enterprise management level and the management culture characteristic of a work recently, and student's subjective attribute comprises that the student is to the preference of the preference of learning content, study form, to the cultural preference of business administration.
According to an embodiment of education resource method for pushing of the present invention, said education resource attribute comprises and adapts to the post attribute, adapts to its work enterprise attributes, any one combination among student's educational background background, age and length of service, the study preference.
According to an embodiment of education resource method for pushing of the present invention, the step that obtains the degree of correlation of student and education resource according to the association between student's attribute, student's attribute and the education resource attribute further comprises:
Structure student attribute variable's correlation matrix;
Said correlation matrix is carried out repeatedly interative computation, obtain the transitive closure of said correlation matrix;
Whether twice interative computation result be consistent before and after judging, if inconsistent then return a stepping row iteration computing, if consistent then student's user is asked to be mapped in the vector of matrix;
The vector of the matrix that user request is shone upon carries out the expansion of the degree of association;
Carry out the vector that course shone upon and expand, become object vector;
Calculate the vector that the user asks to shine upon and the angle of object vector, and carry out the ordering of correlativity based on angle.
The present invention contrasts prior art has following beneficial effect: education resource supplying system of the present invention is given the student attribute to the student, gives the education resource attribute to education resource, and sets up the correlativity between student's attribute and the education resource attribute.The student selects corresponding student's attribute under the background of oneself confirming; Attribute and the student's attribute of storage inside and the degree of correlation between the education resource attribute that this system is then selected according to the student; Definite education resource inventory that is complementary with the student with high degree of correlation, and be pushed to the student.The contrast prior art, the present invention can let the student quicker, more convenient, in the education resource inventory of magnanimity, find suitable education resource more accurately.
Description of drawings
Fig. 1 shows the block diagram of the preferred embodiment of education resource supplying system of the present invention.
Fig. 2 shows the operational flow diagram of the preferred embodiment of education resource supplying system of the present invention.
Fig. 3 shows the use process flow diagram that the student gets into education resource supplying system of the present invention.
Fig. 4 shows the process flow diagram of the matrix algorithms of student of the present invention and education resource correlativity.
Fig. 5 shows the process flow diagram of the preferred embodiment of education resource method for pushing of the present invention.
Embodiment
Below in conjunction with accompanying drawing and embodiment the present invention is done further description.
The embodiment of education resource supplying system
Fig. 1 shows the principle of the embodiment of education resource supplying system of the present invention.See also Fig. 1, the education resource supplying system of present embodiment comprises: DBM 1, processing module 2, module 3, display module 4 and editor module 5 are set.
Annexation between them is: the output connection processing module 2 of editor module 5, the output of processing module 2 connects display module 4, and the output connection processing module 2 of module 3 is set.Be two-way connection between processing module 2 and the DBM 1.
Some data below DBM 1 storage: the incidence relation of student's data, education resource data, student's subjective and objective attribute, education resource and student's attribute.Wherein student's attribute comprises student's objective attribute and student's subjective attribute; Wherein student's objective attribute comprises student's age, length of service, the most well educated, the character of work enterprise, the post attribute of a work recently, enterprise management level and the management culture characteristic of a work recently, and student's subjective attribute comprises that the student is to the preference of the preference of learning content, study form, to the cultural preference of business administration.The tightness degree of the association between different student's attributes can use the numerical value in the 0-1 scope to describe.
The education resource attribute comprises and adapts to the post attribute, adapts to its work enterprise attributes, any one combination among student's educational background background, age and length of service, the study preference.
See that from content and form education resource has height with the degree of association that possesses the different attribute student.The student of some attribute.Such as high more student of, length of service more can contact experience thinking content accuracy; Age, more little student preferred form of expression fashion, fashion, interesting education resource; The high more student of educational background more pays attention to support theoretical in the education resource; Student's work position attribute is close to the learning object of education resource; Directly interfere with one's studies the especially content of resource of character, the management culture of the different enterprises of student.
Editor module 5 receives student's input, to student's attribute of processing module 2 transmission student inputs.
Processing module 2 is set up two-way the connection with DBM 1, is used for calculating the degree of association between certain student and the education resource through to the operation of database (read, write, inquiry etc.).Promptly, obtain the degree of correlation of this student and education resource through the correlation matrix algorithm.And the student's attribute stored of the student's attribute that provides according to editor module 5 and DBM 1 and the association between the education resource attribute, confirm the education resource inventory that pushes.
Processing module 2 comprises that further matrix construction unit 20, transitive closure computing unit 21, consistance judging unit 22, user ask map unit 23, user to ask to expand unit 24, Resource Properties is expanded unit 25, angle computing unit 26.It between these unit the relation that connects in regular turn.
Matrix construction unit 20 is used to construct student attribute variable's correlation matrix.21 pairs of said correlation matrixes of transitive closure computing unit carry out the transitive closure that interative computation obtains correlation matrix.Consistance judging unit 22 judges whether the twice interative computation result in front and back in the transitive closure computing unit be consistent; If inconsistent then continue to carry out the computing of next round, if unanimity then ask map unit 23 to be handled by the user by transitive closure computing unit 21.The user asks map unit 23 that user's request is mapped in the vector of matrix.The user asks to expand the vector that unit 24 is shone upon by user's request and carries out the expansion of the degree of association.Resource Properties expansion unit 25 carries out the vector that course shone upon to be expanded, and becomes object vector.The angle of angle computing unit 26 computation requests vector sum object vectors, and based on angle correlativity is sorted.
It is exactly that system will be provided with the association between student's attribute, education resource data, education resource attribute, student's attribute and the education resource attribute of storing in the database through the operation of processing module 2 after certain student logins that module 3 is set.
Display module 4 shows student's attribute menus, education resource attribute menu, is higher than the education resource inventory of a threshold value with student's attribute degree of correlation.
Fig. 2 shows the flow process of system's operation of present embodiment.Please be simultaneously referring to Fig. 2, operating procedure is following.
Step S20: the related of student's attribute, education resource and attribute thereof and student's attribute and education resource attribute is set.
Step S21: the student imports relevant information, accessing system, and the checking student imports corresponding information.
Step S22: student's Property Name of storing in the database is shown to the lander, or selects the subjective and objective attribute of self by the student.
Step S23:, show the education resource inventory that is higher than threshold value with this student's degree of association according to the degree of association of fixed student's attribute, student's attribute and education resource attribute.
Step S24: the corresponding education resource of link on the education resource inventory is pushed to the student.
Fig. 3 shows the use flow process that the student gets into education resource supplying system of the present invention.See also Fig. 3, the student gets into system for the first time, need register (step S31), in the drop-down menu of student's attribute, selects with it corresponding subjective and objective attribute (step S32), is pushed the resource inventory (step S33) of the adaptive correspondence of engine then by education resource; Registered student imports username and password, login system (step S34).Show and the suitable education resource inventory (step S35) of my attribute by system then.If student's attribute needs adjustment, then be back to step S32.If the post attribute need not adjustment, then select any resource in the education resource inventory by the student, system is connected to this resource automatically, provides the student to learn (step S36).
The embodiment of education resource method for pushing
Fig. 5 shows the flow process of the embodiment of education resource method for pushing of the present invention.See also Fig. 5, details are as follows for each step of present embodiment.
Step S50: the association between student's attribute, education resource data, education resource attribute, student's attribute and the education resource attribute is set.
Student's attribute comprises student's objective attribute and student's subjective attribute; Wherein student's objective attribute comprises student's age, length of service, the most well educated, the character of work enterprise, the post attribute of a work recently, enterprise management level and the management culture characteristic of a work recently, and student's subjective attribute comprises that the student is to the preference of the preference of learning content, study form, to the cultural preference of business administration.
The education resource attribute comprises and adapts to the post attribute, adapts to its work enterprise attributes, any one combination among student's educational background background, age and length of service, the study preference.
Step S52: show student's attribute or receive student's input to confirm corresponding student's attribute.
Step S54: according to the association between student's attribute, student's attribute and the education resource attribute, obtain the degree of correlation of student and education resource, show the education resource inventory that is higher than a threshold value with student's attribute degree of correlation.
In this step S54, the step that obtains the degree of correlation of student and education resource according to the association between student's attribute, student's attribute and the education resource attribute further comprises step as shown in Figure 4.
Step S41: structure student attribute variable's correlation matrix.
Suppose to have the student attribute variable: A educational background-undergraduate education, B length of service-1 were to 3 years, C work position-representative of sales & marketing.Relevance is between any two expressed by following square matrix in advance:
A: undergraduate education B:1-3 C: representative of sales & marketing
A: undergraduate education 1 0.3 0.7
B:1-3 0.3 1 0.5
C: representative of sales & marketing 0.7 0.5 1
The value of the degree of association is [0,1], such as, undergraduate education relatively is fit to be the representative of sales & marketing, and then settings is 0.7; And undergraduate education has than higher demand training in 1 year in work, and the training requirement of 1-3 reduces, so value 0.3.
Note that the value here is an empirical value, promptly by the people for setting, its relation of association can be adjusted according to the operating position of reality, with near final legitimate result.
Step S42: correlation matrix is carried out the interative computation first time, obtain the transitive closure of correlation matrix.
Specific algorithm is: R ′ ( a [ i ] , a [ j ] ) = Max k Min ( R ( a [ i ] , a [ k ] ) , R ( a [ k ] , a [ j ] )
In last example:
For the first time during iteration:
The degree of correlation of A and B becomes:
Max{Min(R(A,A),R(A,B)),Min(R(A,B),R(B,B)),Min(R(A,C),R(C,B))}
=Max{Min(1,0.3),Min(0.3,1),Min(0.7,0.5)}
=Max{0.3,0.3,0.5}
=0.5
The degree of correlation of A and C becomes:
Max{Min(R(A,A),R(A,C)),Min(R(A,B),R(B,C)),Min(R(A,C),R(C,C))}
=Max{Min(1,0.7),Min(0.3,1),Min(0.7,0.5)}
=Max{0.7,0.3,0.5}
=0.7
The degree of correlation of B and C becomes:
Max{Min(R(B,A),R(A,C)),Min(R(B,B),R(B,C)),Min(R(B,C),R(C,C))}
=Max{Min(0.3,0.7),Min(1,0.5),Min(0.5,1)}
=Max{0.3,0.5,0.5}
=0.5
The degree of correlation on other lines is prone to know that therefore the result of iteration is for the first time:
A: undergraduate education B:1-3 C: representative of sales & marketing
A: undergraduate education 1 0.5 0.7
B:1-3 0.5 1 0.5
C: representative of sales & marketing 0.7 0.5 1
Step S43: on the basis of the iteration first time of step S42, carry out the iteration second time.
The degree of correlation of A and B becomes:
Max{Min(R(A,A),R(A,B)),Min(R(A,B),R(B,B)),Min(R(A,C),R(C,B))}
=Max{Min(1,0.5),Min(0.5,1),Min(0.7,0.5)}
=Max{0.5,0.5,0.5}
=0.5
The degree of correlation of A and C becomes:
Max{Min(R(A,A),R(A,C)),Min(R(A,B),R(B,C)),Min(R(A,C),R(C,C))}
=Max{Min(1,0.7),Min(0.5,1),Min(0.7,0.5)}
=Max{0.7,0.5,0.5}
=0.7
The degree of correlation of B and C becomes:
Max{Min(R(B,A),R(A,C)),Min(R(B,B),R(B,C)),Min(R(B,C),R(C,C))}
=Max{Min(0.5,0.7),Min(1,0.5),Min(0.5,1)}
=Max{0.5,0.5,0.5}
=0.5
The result is:
A: undergraduate education B:1-3 C: representative of sales & marketing
A: undergraduate education 1 0.5 0.7
B:1-3 0.5 1 0.5
C: representative of sales & marketing 0.7 0.5 1
Step S44: whether twice interative computation result be consistent before and after judging, if inconsistent then return step S43 and carry out interative computation once more, if unanimity then get into step S45.
Step S45: user's request of student is mapped in the vector of matrix.
Matrix corresponding during with iteration stopping is designated as the variable relation matrix V.For each subject, can be mapped to the vector that all properties variable is formed: (A, B, C), A wherein, B, the span of C be 0,1}.If course variable therewith is relevant, then is designated as 1, otherwise then is 0.
Therefore, student's user request can be mapped to this group vector (A, B, C) in.The student has selected when submitting request to, to have selected certain attribute, and then corresponding variate-value is 1, otherwise then is 0.
Calculate for example:
Vector is above-mentioned vector:
A: undergraduate education B:1-3 C: representative of sales & marketing;
The user has two people:
User 1 attribute is: (0,0,1), user 2 attribute are (1,1,0).
Course is following two subjects journey:
" new employee--from ordinary to outstanding ", corresponding vector is (0,1,1);
" demonstration preparation under battle conditions (on) ", corresponding vector (0,0,1).
Step S46: the vector of the matrix that user request is shone upon carries out the expansion of the degree of association.
If user vector be B (b1 ... bi), among the vectorial B ' after then expanding:
b ′ i = max j bj * V ( aj , ai )
In the last example, b ' 1=max{b1*V (a1, a1), b2*V (a2, a1), b3*V (a3, a1) }
=max{0*1,0*0.5,1*0.7}
=max{0,0,0.7}
=0.7
In like manner, b ' 2=0.5, b ' 3=1
Be (0.7,0.5,1) so user 1 attribute vector expands, in like manner, user 2 attribute vector is expanded is (1,1,0.7).
Step S47: carry out the vector that course shone upon and expand.
The vector of course also can carried out in advance, needn't when each calculating, do, for example:
C’1=(0.7,1,1)
C’2=(0.7,0.5,1)
Step S48: calculate the vector that the user asks to shine upon and the angle of object vector.
Adopt the angle (step S48) of the mode computation requests vector sum object vector of cosine angle at present.
Account form is according to
Figure BDA0000100527930000112
For user 1,
With course-" new employee's--from ordinary to outstanding " similarity cosine value be:
Figure BDA0000100527930000121
With course-" under battle conditions demonstration prepare (on) " the similarity cosine value be:
Figure BDA0000100527930000122
For user 2:
With course-" new employee's--from ordinary to outstanding " similarity cosine value be:
Figure BDA0000100527930000123
With course-" under battle conditions demonstration prepare (on) " the similarity cosine value be:
Figure BDA0000100527930000124
Cosine value just shows similar more more near 1.
End product can appear according to the descending of cosine value.
The foregoing description provides to those of ordinary skills and realizes or use of the present invention; Those of ordinary skills can be under the situation that does not break away from invention thought of the present invention; The foregoing description is made various modifications or variation; Thereby protection scope of the present invention do not limit by the foregoing description, and should be the maximum magnitude that meets the inventive features that claims mention.

Claims (8)

1. education resource supplying system comprises DBM, processing module, module is set, display module and editor module, wherein:
Association between this database module stores student data, student's attribute, education resource data, education resource attribute, student's attribute and the education resource attribute;
This processing module; Connect this DBM,, this database is handled operation through the correlation matrix algorithm; Based on the association between said student's attribute and the education resource attribute; Obtain the degree of correlation of student and education resource, and the student's attribute stored of the student's attribute that provides according to this editor module and this DBM and the association between the education resource attribute, confirm the education resource inventory that pushes;
This is provided with module, connects this DBM through this processing module, and the association between student's attribute, education resource data, education resource attribute, student's attribute and the education resource attribute of storing in the database is set;
This display module connects this DBM through this processing module, shows student's attribute menu, education resource attribute menu, is higher than the education resource inventory of a threshold value with student's attribute degree of correlation;
This editor module connects this DBM through this processing module, receives student's input, to student's attribute of this processing module transmission student input.
2. education resource supplying system according to claim 1; It is characterized in that; Said student's attribute comprises student's objective attribute and student's subjective attribute; Wherein student's objective attribute comprises student's age, length of service, the most well educated, the character of work enterprise, the post attribute of a work recently, enterprise management level and the management culture characteristic of a work recently, and student's subjective attribute comprises that the student is to the preference of the preference of learning content, study form, to the cultural preference of business administration.
3. education resource supplying system according to claim 2; It is characterized in that said education resource attribute comprises and adapts to the post attribute, adapts to its work enterprise attributes, any one combination among student's educational background background, age and length of service, the study preference.
4. education resource supplying system according to claim 1; It is characterized in that; Said processing module comprises that further matrix construction unit, transitive closure computing unit, consistance judging unit, user ask map unit, user to ask to expand the unit, Resource Properties is expanded unit, angle computing unit, wherein:
Said matrix construction unit, structure student attribute variable's correlation matrix;
Said transitive closure computing unit connects said matrix construction unit, and said correlation matrix is carried out the transitive closure that interative computation obtains said correlation matrix;
Said consistance judging unit; Connect said transitive closure computing unit; Judge whether the twice interative computation result in front and back in the said transitive closure computing unit be consistent; If inconsistent then continue to carry out the computing of next round, if unanimity then ask map unit to be handled by said user by said transitive closure computing unit;
Said user asks map unit, connects said consistance judging unit, and user's request is mapped in the vector of matrix;
Said user asks to expand the unit, connects said user and asks map unit, and the vector that user's request is shone upon carries out the expansion of the degree of association;
Said Resource Properties is expanded the unit, connects said user and asks to expand the unit, carries out the vector that course shone upon and expands, and becomes object vector;
Said angle computing unit connects said Resource Properties and expands the unit, the angle of computation requests vector sum object vector, and carry out the ordering of correlativity based on angle.
5. education resource method for pushing comprises:
Association between student's attribute, education resource data, education resource attribute, student's attribute and the education resource attribute is set;
Show student's attribute or receive student's input to confirm corresponding student's attribute;
According to the association between student's attribute, student's attribute and the education resource attribute, obtain the degree of correlation of student and education resource, show the education resource inventory that is higher than a threshold value with student's attribute degree of correlation.
6. education resource method for pushing according to claim 5; It is characterized in that; Said student's attribute comprises student's objective attribute and student's subjective attribute; Wherein student's objective attribute comprises student's age, length of service, the most well educated, the character of work enterprise, the post attribute of a work recently, enterprise management level and the management culture characteristic of a work recently, and student's subjective attribute comprises that the student is to the preference of the preference of learning content, study form, to the cultural preference of business administration.
7. education resource method for pushing according to claim 6; It is characterized in that said education resource attribute comprises and adapts to the post attribute, adapts to its work enterprise attributes, any one combination among student's educational background background, age and length of service, the study preference.
8. education resource method for pushing according to claim 5 is characterized in that, the step that obtains the degree of correlation of student and education resource according to the association between student's attribute, student's attribute and the education resource attribute further comprises:
Structure student attribute variable's correlation matrix;
Said correlation matrix is carried out repeatedly interative computation, obtain the transitive closure of said correlation matrix;
Whether twice interative computation result be consistent before and after judging, if inconsistent then return a stepping row iteration computing, if consistent then student's user is asked to be mapped in the vector of matrix;
The vector of the matrix that user request is shone upon carries out the expansion of the degree of association;
Carry out the vector that course shone upon and expand, become object vector;
Calculate the vector that the user asks to shine upon and the angle of object vector, and carry out the ordering of correlativity based on angle.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105159924A (en) * 2015-08-04 2015-12-16 北京优宇通教育科技有限公司 Learning resource pushing method and system
CN107220916A (en) * 2017-05-27 2017-09-29 邹杰 Pushing learning resource method and device
CN107660296A (en) * 2015-03-30 2018-02-02 克拉斯库博有限公司 For providing the method for learning information, system and the computer-readable recording medium of non-transitory

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101329683A (en) * 2008-07-25 2008-12-24 华为技术有限公司 Recommendation system and method
CN101706921A (en) * 2009-12-03 2010-05-12 上海一佳一网络科技有限公司 Intelligent curriculum matching system and method
CN102156706A (en) * 2011-01-28 2011-08-17 清华大学 Mentor recommendation system and method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101329683A (en) * 2008-07-25 2008-12-24 华为技术有限公司 Recommendation system and method
CN101706921A (en) * 2009-12-03 2010-05-12 上海一佳一网络科技有限公司 Intelligent curriculum matching system and method
CN102156706A (en) * 2011-01-28 2011-08-17 清华大学 Mentor recommendation system and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
戴亚娥等: "个性化服务中基于模糊聚类的协同过滤推荐", 《计算机工程与科学》, vol. 31, no. 04, 15 April 2009 (2009-04-15), pages 110 - 112 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107660296A (en) * 2015-03-30 2018-02-02 克拉斯库博有限公司 For providing the method for learning information, system and the computer-readable recording medium of non-transitory
CN105159924A (en) * 2015-08-04 2015-12-16 北京优宇通教育科技有限公司 Learning resource pushing method and system
CN105159924B (en) * 2015-08-04 2019-04-05 北京优宇通教育科技有限公司 Pushing learning resource method and system
CN107220916A (en) * 2017-05-27 2017-09-29 邹杰 Pushing learning resource method and device

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