CN108763342A - Education resource distribution method and device - Google Patents
Education resource distribution method and device Download PDFInfo
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- CN108763342A CN108763342A CN201810457603.2A CN201810457603A CN108763342A CN 108763342 A CN108763342 A CN 108763342A CN 201810457603 A CN201810457603 A CN 201810457603A CN 108763342 A CN108763342 A CN 108763342A
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Abstract
The application is about a kind of education resource distribution method and device, and wherein method includes：According to the characteristic of target object, the mode of learning of target object is determined；The matched candidate resource collection of mode of learning with target object is obtained from resources bank；Candidate resource collection is sent to target object；According to the feedback information that target object returns, target resource corresponding with target object is determined.The application method realizes the actual conditions according to user itself, targetedly carries out the personalized recommendation of education resource, not only simplifies user and obtains operation, and also improve the learning interest and learning efficiency of user, improves user experience.
Description
Technical field
This application involves field of computer technology, more particularly to a kind of education resource distribution method and device.
Background technology
With the continuous development of educational undertaking, the teaching resource based on the contents such as teaching notes, micro- class audio and video or test question
Also it is constantly extending, the education resource especially issued on network.
However, with Internet resources quantity explosive increase, user may feel that no institute in the education resource in face of magnanimity
It follows, i.e., can not select the suitable education resource of oneself from the education resource of magnanimity, need to spend so as to cause user big
The time energy of amount, the search extended endlessly are searched, and user experience is reduced.
Invention content
The application is intended to solve at least some of the technical problems in related technologies.
For this purpose, the application one side embodiment provides a kind of education resource distribution method, this method includes：According to target pair
The characteristic of elephant determines the mode of learning of the target object；The study mould with the target object is obtained from resources bank
The matched candidate resource collection of formula；The candidate resource collection is sent to the target object；It is returned according to the target object
Feedback information determines target resource corresponding with the target object.
The application another aspect embodiment provides a kind of education resource distributor, which includes：First determining module,
For the characteristic according to target object, the mode of learning of the target object is determined；Acquisition module, for from resources bank
Obtain the matched candidate resource collection of mode of learning with the target object；Sending module, for sending out the candidate resource collection
Give the target object；Second determining module, the feedback information for being returned according to the target object determine and the mesh
Mark the corresponding target resource of object.
The another aspect embodiment of the application provides a kind of electronic equipment, and memory and processor, the memory are stored with
Computer program when the computer program is executed by processor, realizes the education resource distribution method.
The application another further aspect embodiment provides a kind of non-transient computer readable storage medium, is stored thereon with computer
Program when the program is executed by processor, realizes the education resource distribution method.
Education resource distribution method provided by the embodiments of the present application and device, by the characteristic according to target object,
The mode of learning for determining target object, with according to the mode of learning of target object, obtained from resources bank with target object to
Then candidate resource collection is sent to target object by the matched candidate resource collection of mode of learning, and returned according to target object
Feedback information determines target resource corresponding with target object.Hereby it is achieved that according to the actual conditions of user itself, there is needle
To the personalized recommendation of the progress education resource of property, not only simplifies user and obtain operation, and also improve the study of user
Interest and learning efficiency, improve user experience.
It should be understood that above general description and following detailed description is only exemplary and explanatory, not
The application can be limited.
Description of the drawings
The drawings herein are incorporated into the specification and forms part of this specification, and shows the implementation for meeting the application
Example, and the principle together with specification for explaining the application.
Fig. 1 is the flow diagram according to the education resource distribution method shown in one exemplary embodiment of the application；
Fig. 2 is the flow diagram according to the education resource distribution method shown in one exemplary embodiment of the application；
Fig. 3 is the flow diagram according to the education resource distribution method shown in one exemplary embodiment of the application；
Fig. 4 is the structural schematic diagram according to the education resource distributor shown in one exemplary embodiment of the application；
Fig. 5 is the structural schematic diagram according to the education resource distributor shown in one exemplary embodiment of the application；
Fig. 6 is the structural schematic diagram according to the education resource distributor shown in one exemplary embodiment of the application；
Fig. 7 is the structural schematic diagram according to the electronic equipment shown in one exemplary embodiment of the application；
Fig. 8 is the structural schematic diagram according to the electronic equipment shown in one exemplary embodiment of the application.
Through the above attached drawings, it has been shown that the specific embodiment of the application will be hereinafter described in more detail.These attached drawings
It is not intended to limit the range of the application design in any manner with verbal description, but is by referring to specific embodiments
Those skilled in the art illustrate the concept of the application.
Specific implementation mode
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended
The example of consistent device and method of some aspects be described in detail in claims, the application.
Each embodiment of the application is in the related technology, and when obtaining education resource in internet, user plane is to magnanimity
Education resource can not accurately get and be suitble to the education resource of oneself, require a great deal of time so as to cause user and
The problem of energy, the search extended endlessly searches, reduces user experience, propose a kind of education resource distribution method.
The embodiment of the present application is analyzed by the characteristic to target object, to determine the study mould of target object
Formula obtains the candidate resource collection to match with target object mode of learning then according to determining mode of learning from resources bank,
And the candidate resource collection of acquisition is sent to target object, so that target object concentrates the suitable candidate money of selection from candidate resource
Source, the feedback information then returned according to target object determine target resource corresponding with target object.Hereby it is achieved that root
According to the actual conditions of user itself, the personalized recommendation of education resource is targetedly carried out, user is not only simplified and obtains behaviour
Make, and also improve the learning interest and learning efficiency of user, improves user experience.
Below in conjunction with the accompanying drawings, education resource distribution method provided by the present application and device are described in detail.
Fig. 1 is combined first, and education resource distribution method provided by the embodiments of the present application is described in detail.
Fig. 1 is the flow diagram according to the education resource distribution method shown in one exemplary embodiment of the application.
As shown in Figure 1, the education resource distribution method may comprise steps of：
Step 101, according to the characteristic of target object, the mode of learning of target object is determined.
Optionally, education resource distribution method provided by the embodiments of the present application, can be by electricity provided by the embodiments of the present application
Sub- equipment executes.Wherein, education resource distributor is provided in electronic equipment, with by education resource distributor to target
The education resource of object recommendation is controlled.
The present embodiment electronic equipment can be any one equipment, instrument or machine with calculation processing ability, example
If electronic equipment can be robot, or have for mobile phone, tablet computer, personal digital assistant, Wearable etc. various
The hardware device of operating system, touch screen and/or display screen is not restricted this.
Wherein, target object can be the arbitrary user with learning demand, for example, student, teacher, worker etc..
The characteristic of target object can refer to the data information for indicating user's own situation.Wherein, indicate user certainly
The data information of body situation may include：Learn situation, learning characteristic, personality and hobby etc., it is not limited specifically herein
It is fixed.
The mode of learning of target object can be the method for referring to that user is made to reach best learning state.In this implementation
In example, mode of learning may include：Visual pattern, auditory model, pattern, pattern etc. of keeping silent.
In a kind of optional way of realization of the application, the characteristic of target object can be obtained first, so
The characteristic of acquisition is analyzed afterwards, determines mode of learning corresponding with target object.
Wherein, the characteristic for the target object that the present embodiment obtains can be that user oneself provides, for example, user
When registering account number in education resource distributor, the personal data that provide；Alternatively, can also be through the history note to user
Record carry out parsing acquisition etc., for example, when user learns in education resource distributor, education resource distributor can be with
The study condition of record user in real time, such as video data, voice data or test data etc. when acquisition user's study,
Then the learning materials of the user of acquisition are parsed, determines the characteristic of user.It is not especially limited herein.
Optionally, in the embodiment of the present application, the mode of learning of target object can be determined in the following manner：
First way：The characteristic of the target object is inputted into preset neural network model, according to described pre-
If neural network model output, determine the mode of learning of the target object.
Preset neural network model can be disaggregated model in the present embodiment.Using preset disaggregated model, to mesh
The characteristic of mark object is classified, and determines corresponding mode of learning.Wherein, preset neural network classification model can be with
It is that generation is trained by a large amount of training sample, is not especially limited herein.
That is, the characteristic of target object can be input to preset neural network model by the embodiment of the present application
In, analyzing processing is carried out to the characteristic of target object by preset neural network model, with according to preset nerve net
The output of network model determines the mode of learning of target object.
The second way：According to the mapping relations of preset characteristic and mode of learning, the spy with target object is determined
Levy the corresponding mode of learning of data.
Wherein, the mapping relations of preset characteristic and mode of learning can be electronic equipment default setting；Or
Person, can also by acquire a large amount of sample data carry out experiment generation etc., be not especially limited herein.
Step 102, the matched candidate resource collection of mode of learning with target object is obtained from resources bank.
Wherein, may include the teacher of different majors in resources bank in the present embodiment；Alternatively, including same professional not same order
Teacher of section, such as primary English Instructor, intermediate English Instructor, Advanced English teacher etc.；Alternatively, can also include different field
Or the video teaching resources of same area, for example, each field of sphere of learning, building field, electronic field, medical domain etc.
Video teaching resources etc., it is not especially limited herein.
Optionally, after determining the mode of learning of target object, the embodiment of the present application can be by mode of learning, with money
Each resource in the library of source carries out matching operation, and the resource by matching degree more than threshold value is determined as candidate resource, then will be true
Fixed candidate resource is combined into candidate resource collection.
Wherein, threshold value can be electronic equipment default setting, for example, threshold value is 0.95,0.98 etc., not make to have to this
Body limits.
For example, if threshold value is 0.95, then when resource A, resource B, resource C, resource D and target object in resources bank
The matching degree of mode of learning is respectively 0.9,0.92,0.96,0.98, then can determine that resource C and resource D is candidate provides
Source, and resource C and resource D are combined into candidate resource collection.
In practical applications, can also include the corresponding teaching pattern of each resource in resources bank.Wherein, teaching pattern can be with
Including：Intellectual type teaching pattern, natural type teaching pattern, emotion type teaching pattern, humorous type teaching pattern, skill type teaching mould
Formula etc..
It, can be according to each in order to determine the matched candidate resource of mode of learning with target object in the embodiment of the present application
The feature of the corresponding teaching pattern of resource determines the corresponding feature set of each teaching pattern and the corresponding spy of each mode of learning
Collection, and then according to each feature in the corresponding feature set of teaching pattern, of each feature in feature set corresponding with mode of learning
With degree, determine whether matched between teaching pattern and mode of learning.
For example, intellectual type teaching pattern, corresponding feature set are：Teaching notes are detailed, demonstration is tight, of a tightly knit structure.Feelings
Sense type teaching pattern, corresponding feature set are：Mood is full, and limb action is abundant.
After being illustrated to the corresponding teaching pattern of each resource, the education resource distribution method of the present embodiment can be from
The teaching pattern matched candidate resource collection of mode of learning corresponding with target is obtained in resources bank.
As a kind of optional realization method, characteristic that the mode of learning of target object can be included by the present embodiment
The characteristic of teaching pattern corresponding with each resource in resources bank is matched, when the mode of learning of target object includes
It is when the characteristic matching degree of characteristic teaching pattern corresponding with each resource in resources bank is more than threshold value, then matching degree is big
It is determined as and the matched candidate resource collection of the mode of learning of target object in the teaching pattern of threshold value and corresponding resource.
Wherein, threshold value can carry out adaptability setting according to user demand, alternatively, can be that manufacturer is advance when equipment appears on the scene
It is arranged, it is not especially limited herein.For example, 0.90,0.92 etc..
For example, it is visual pattern if the mode of learning of No. 1 target object, corresponding characteristic is：Like doing
Classroom is taken down notes and while reviewing likes being copied for more than times with paper and pen, write from memory repeatedly, and the mode of learning of No. 2 target objects is dynamic
Operation mode, corresponding characteristic are：Remembered by acting.And the matching threshold of mode of learning and teaching pattern is
0.95, then learn resource allocation device in the application, can by No. 1 target object and the corresponding mode of learning of No. 2 target objects,
The characteristic in teaching pattern corresponding with each resource in resources bank is matched respectively, by matching it is found that No. 1 target pair
As the characteristic matching degree in the characteristic in corresponding mode of learning, with intellectual type teaching pattern in resources bank is
0.98, then illustrate that the mode of learning of No. 1 target object matches with intellectual type teaching pattern, then it can be by intellectual type teaching pattern
And its corresponding resource is determined as the candidate resource collection to match with the mode of learning of No. 1 target object；And No. 2 target objects
Characteristic matching degree in characteristic in mode of learning, with emotion type teaching pattern in resources bank is 0.96, then illustrates 2
The mode of learning of number target object matches with emotion type teaching pattern, then emotion type teaching pattern and its corresponding resource is true
It is set to the candidate resource collection to match with the mode of learning of No. 2 target objects.
That is, when the application obtains candidate resource collection matched with the mode of learning of target object from resources bank,
The matched candidate resource collection of mode of learning of teaching pattern and target object can be obtained from resources bank so that push to user
Candidate resource to concentrate not only include the candidate resource for being suitble to user, further include the teaching pattern for being suitble to user mode of learning, from
And make user that can not only get the education resource of oneself satisfaction, moreover it is possible to get the teaching mould for being suitble to oneself mode of learning
Formula greatly improves the learning interest and learning initiative of user, improves user experience.
Step 103, candidate resource collection is sent to target object.
In the present embodiment, it after determining candidate resource collection matched with the mode of learning of target object, can will wait
Resource set is selected to be sent to target object, so that the education resource that target object concentrates selection satisfied from candidate resource.
Wherein, when candidate resource collection is sent to target object, the modes such as wifi, 3G network, 4G networks can be passed through
It realizes, it is not especially limited herein.
Further, in order to reduce bandwidth usage, determining candidate resource collection can also be packaged by the present embodiment
After compression, it is sent to target object, concentrates the identification information of each candidate resource to be sent to candidate resource alternatively, can also be
Target object.
Wherein, the identification information of each candidate resource can be resource name, resource provider information etc..
Step 104, the feedback information returned according to target object determines target resource corresponding with target object.
Optionally, when candidate resource collection being sent to target object, and receiving the feedback information of target object return, this
The feedback information that embodiment can first return to target object parses, to determine that the selection carried in feedback information refers to
It enables, then according to selection instruction, determines corresponding target resource.
After determining the target resource of target object recognition, target resource can be sent to by education resource distributor
Target object, in order to which target object is learnt according to target resource.
That is, by the way that the candidate resource collection of acquisition is sent to target object, so that target object is to candidate resource
Concentrate multiple resources analyzed, select and be suitble to the resource of oneself so that electronic equipment can according to the user's choice, to
The corresponding target resource of user feedback, so that user can carry out autonomous learning according to target resource.
It is understood that the embodiment of the present application is determined by the mode of learning to target object, with according to target
Uncertain plant learning pattern determines candidate resource collection, and candidate resource collection is sent to target object, so that target object is provided from candidate
Source concentrates selection to be suitble to the candidate resource of oneself, and then electronic equipment according to the user's choice will be in the corresponding resource of candidate resource
Appearance is pushed to target user, so that user carries out autonomous and self-service study.
Education resource distribution method provided by the embodiments of the present application determines mesh by the characteristic according to target object
The mode of learning for marking object, with according to the mode of learning of target object, obtained from resources bank with target object to study mould
Then candidate resource collection is sent to target object, and the feedback letter returned according to target object by the matched candidate resource collection of formula
Breath determines target resource corresponding with target object.Hereby it is achieved that according to the actual conditions of user itself, targetedly
Carry out education resource personalized recommendation, not only simplify user obtain operation, and also improve user learning interest and
Learning efficiency improves user experience.
By above-mentioned analysis it is found that the application determines corresponding candidate resource collection by the mode of learning of target object, and
Candidate resource collection is sent to target object, according to the feedback of target object, to determine corresponding target resource.A kind of optional
Way of realization in, due to the mode of learning according to target object, multiple candidate resources can be got in resources bank, in order to
So that target object is chosen as far as possible to best candidate resource, the application by candidate resource collection be sent to target object it
Before, can also to candidate resource concentrate multiple candidate resources according to the mode of learning with target object matching degree, according to from
High to Low sequence is ranked up, and the candidate resource collection after sequence is then sent to target object again, so that target object energy
Enough more efficient efficiently get are suitble to the education resource of oneself.With reference to Fig. 2, to the application education resource distribution method
The above process is specifically described.
As shown in Fig. 2, the education resource distribution method may comprise steps of：
Step 201, according to the characteristic of target object, the mode of learning of target object is determined.
Step 202, the matched candidate resource collection of mode of learning with target object is obtained from resources bank.
Step 203, the matching degree of the mode of learning of each candidate resource and target object is concentrated according to candidate resource, is determined and is waited
Select the sequence of each candidate resource in resource set.
Optionally, after getting candidate resource collection, the application can first solve each resource in resources bank
Analysis is handled, to determine the corresponding teaching pattern of each resource in resources bank, then again by the determining corresponding teaching pattern of each resource
It is matched with the mode of learning of target object, to determine the mode of learning of each resource corresponding teaching pattern and target object
Matching degree, to determine the sequencing of each candidate resource according to each matching degree.
In the present embodiment, teaching pattern may include：Instruction formula teaching pattern, the heuristic teaching mode, discussion religion
Pattern etc..
Wherein, formula teaching pattern is lectured, mainly based on teacher's activity, i.e., is with the explanation of teacher, demonstration, model reading
It is main；The heuristic teaching mode is then teacher in teaching process, actively, actively, certainly with guiding students such as talk, question and answer, announcements
Feel that the instructional mode of knowledge is grasped on ground；Educational mode of discussion type is student under the guidance of teacher, with regard to the basic theory in teaching material
Or main knotty problem, on the basis of independently studying intensively, the teaching organization forms discussing, argue jointly.
Step 204, candidate resource collection is sent to target object.
Step 205, the feedback information returned according to target object determines target resource corresponding with target object.
Wherein, the specific implementation process and principle of above-mentioned steps 204-205 is referred to retouching in detail for above-described embodiment
It states, details are not described herein again.
In the optional way of realization of another kind of the application, in order to enable target object receives electronic equipment transmission
After candidate resource collection, can it is faster it is convenient get the target resource for meeting oneself demand, the present embodiment is will be candidate
Resource set is sent to before target object, can also obtain attribute information and history service that candidate resource concentrates each candidate resource
Then candidate resource is concentrated the corresponding attribute information of each candidate resource and history information on services, is sent to target object by information.
Wherein, in the present embodiment, the attribute information of candidate resource may include at least one of following information：Year
Age, gender, portrait, free time, it is not especially limited herein.
History information on services may include at least one of following information：History service object mark, history service pair
Associated multi-medium data is serviced as corresponding service duration, the feedback data of history service object, with history, herein not to it
Make specific limit.
Wherein, history service object mark can be account, ID of object Real Name or object etc..
The feedback data of history service object, can be with object to the evaluation information etc. of candidate resource content and supplier.
That is, concentrating the attribute information and history information on services of each candidate resource by obtaining candidate resource so that
Target object, can be according to the attribute information and history information on services of each candidate resource, really after receiving candidate resource collection
It makes and is suitble to the target resource of oneself, to carry out subsequent study according to determining target resource.
Education resource distribution method provided by the embodiments of the present application determines mesh by the characteristic according to target object
The mode of learning for marking object, with according to the mode of learning of target object, obtained from resources bank with target object to study mould
The matched candidate resource collection of formula, and the matching degree of the mode of learning of each candidate resource and target object is concentrated to carry out to candidate resource
It determines, then according to the matching degree of the mode of learning of each candidate resource and target object, each candidate money that candidate resource is concentrated
Source is ranked up, and the candidate resource collection after sequence is then sent to target object, and the feedback letter returned according to target object
Breath determines target resource corresponding with target object.Hereby it is achieved that according to the actual conditions of user itself, targetedly
Carry out education resource personalized recommendation, not only simplify user obtain operation, and also improve user learning interest and
Learning efficiency improves user experience, and according to the candidate resource collection after sequence, not only increases user and obtain study
The speed of resource, moreover it is possible to ensure that the education resource got more meets user's actual conditions, further meet user demand, carry
High user satisfaction.
By above-mentioned analysis it is found that the embodiment of the present application is by being ranked up each candidate resource that candidate resource is concentrated,
The candidate resource collection after sequence is sent to target object, and the feedback information of user's return is received, determining and target object
Corresponding target resource.
In specific implementation, since user can be student, and the aged difference of each student institute, therefore in order to not
Recommend to be suitble to oneself current age corresponding resource and teacher with student, the application the mode of learning for determining target object it
Afterwards, it can also further determine that currently corresponding Knowledge Set obtains then according to above-mentioned Knowledge Set from resources bank target object
Corresponding candidate resource collection is taken, the candidate resource collection of acquisition is sent to target object, in order to which target object can basis
Above-mentioned candidate resource collection obtains corresponding education resource.With reference to Fig. 3, to the above-mentioned mistake of the application education resource distribution method
Journey is specifically described.
Fig. 3 is the flow diagram according to the education resource distribution method shown in one exemplary embodiment of the application.
As shown in figure 3, the education resource distribution method may comprise steps of：
Step 301, according to the characteristic of target object, the mode of learning of target object is determined.
Step 302, according to each resource corresponding second in corresponding first knowledge collection of target object and resources bank
Knowledge collection determines initial candidate resource set corresponding with target object.
Optionally, knowledge collection is determined according to the learning ability of user, i.e., the knowledge point in knowledge collection is user
The knowledge point of required study.It is understood that the learning ability due to different user is different, different user corresponds to
Knowledge collection can be different.For example, under normal circumstances, for the student of senior class, the difficulty of knowledge points that need to learn is higher than
The student of primary grades.Alternatively, for student of the same grade, due to the difference of the corresponding learning ability of each student, different students
Between the knowledge point of required study be also different.
Before executing step 302, the application can determine corresponding first knowledge collection of target object first.
Optionally, the present embodiment can realize the first knowledge collection corresponding to target corresponding objects in the following manner
It is determined.
The first realization method：
It is recorded according to the history learning of target object, determines corresponding first knowledge collection of target object.
Wherein, the history learning record of user may include：Search sequence input by user, history are answered content etc..
Since in practical applications, the history learning record of user can characterize the identity information of user, therefore the application
It can be recorded by analyzing the history learning of target object, you can determine corresponding first knowledge collection of target object.
For example, if the history learning record of target object XX includes：Wednesday at night 21：30, consult 3 age mathematics money
Material, Friday at night 20：00, consult 3 age English materials, morning Saturday 10：21, consult 3 age English materials, then it can basis
Above-mentioned history learning record can determine that target object XX should be the student at 3 ages, then corresponding can be by 3 ages pair
The set for the learning Content composition answered, is determined as the first knowledge collection of target object XX.
In the embodiment of the present application, is recorded according to the history learning of user, determine the corresponding object knowledge set of user, it can
The history learning ability for reflecting user, can reflect the learning ability before user.
Second of realization method：
According to the corresponding knowledge test result of target object, corresponding first knowledge collection of target object is determined.
As a kind of possible realization method, user can carry out knowledge test online, when the test is finished, it may be determined that
The corresponding knowledge test result of user, and then the education resource distributor in the application, can be according to the corresponding knowledge of user
Test result, it may be determined that corresponding first knowledge collection of user.
Optionally, user can carry out knowledge test online using electronic equipment, wherein knowledge test can have selection
Topic, gap-filling questions test examination question using topic etc., can input answer for per test examination question, user together or choose answer.This Shen
Please in, education resource distributor can obtain the corresponding model answer of test examination question, and will test the model answer of examination question with
Corresponding user's answer is compared, and obtains answer difference degree.Then according to answer difference degree, it may be determined that per survey together
It has a try and inscribes the Grasping level of corresponding knowledge point, to after knowledge test, be corresponded to according to per test examination question together
Knowledge point Grasping level, determine corresponding first knowledge collection of user.
In the embodiment of the present application, knowledge test result be user this engage in the dialogue with electronic equipment before, use electronics
Equipment on-line test obtained, and corresponding first knowledge collection of user is determined according to knowledge test result, it is ensured that
The real-time of knowledge point in first knowledge collection, even if after user learns under line, the knowledge point that user grasps is caused to become
When more, according to the corresponding knowledge test result of user, corresponding first knowledge collection of user is determined, remain able to realize to first
Knowledge collection is updated, and to realize the Dynamic Maintenance to the first knowledge collection, and then can ensure identified user's
The real-time and accuracy of learning ability.
After getting corresponding first knowledge collection of target object, electronic equipment can be by the first knowledge collection and resource
Corresponding second knowledge collection of each resource is matched in library, and the second knowledge collection that matching degree is more than threshold value is corresponded to
Each resource, be determined as initial candidate resource set.
Step 303, from initial candidate resource set, the matched candidate resource collection of mode of learning with target object is obtained.
In the present embodiment, since the initial candidate resource set of acquisition may include multiple candidate resources, and multiple candidates
Resource corresponds to different teaching patterns respectively, therefore in order to get the candidate resource to match with target object, the present embodiment
The mode of learning that target object can also be utilized, further screens initial candidate resource set, initial candidate is provided
Source is concentrated rejects with the unmatched candidate resource of the mode of learning of target object, to generate the mode of learning with target object
Match, and the candidate resource collection that the first knowledge collection corresponding with target object matches.
Step 304, candidate resource collection is sent to the target object.
Step 305, the feedback information returned according to target object determines target resource corresponding with target object.
Wherein, the specific implementation process and principle of above-mentioned steps 304-305 is referred to retouching in detail for above-described embodiment
It states, details are not described herein again.
Education resource distribution method provided by the embodiments of the present application, by determining corresponding first Knowledge Set of target object
It closes, from corresponding second knowledge collection of each resource in resources bank, to determine initial candidate corresponding with target object
Then resource set screens initial candidate resource set further according to the mode of learning of target object to obtain candidate resource collection, so
Candidate resource collection is sent to target object, and the feedback information returned according to target object afterwards, determination is corresponding with target object
Target resource.As a result, the candidate resource generated concentrates each candidate resource for including, more meet user demand, to real
The actual conditions according to user itself are showed, have targetedly carried out the personalized recommendation of education resource, not only simplify user
Operation is obtained, and also improves the learning interest and learning efficiency of user, improves user experience.
In the exemplary embodiment, a kind of education resource distributor is additionally provided.
Fig. 4 is the structural schematic diagram according to the education resource distributor shown in one exemplary embodiment of the application.
With reference to shown in Fig. 4, the education resource distributor of the application includes：First determining module 110, acquisition module 120,
Sending module 130 and the second determining module 140.
Wherein, the first determining module 110 is used for the characteristic according to target object, determines the study of the target object
Pattern；
Acquisition module 120 from resources bank for obtaining the matched candidate resource of mode of learning with the target object
Collection；
Sending module 130 is used to the candidate resource collection being sent to the target object；
The feedback information that second determining module 140 is used to be returned according to the target object determines and the target object
Corresponding target resource.
As a kind of optional way of realization, first determining module 110 is specifically used for：According to preset characteristic
According to the mapping relations with mode of learning, mode of learning corresponding with the characteristic of the target object is determined；Alternatively, will be described
The characteristic of target object inputs preset neural network model, according to the output of the preset neural network model, really
The mode of learning of the fixed target object.
Include the corresponding teaching mould of each resource by resources bank in this present embodiment as a kind of optional way of realization
Formula, therefore the acquisition module 120, are specifically used for：The study mould of teaching pattern and the target object is obtained from resources bank
The matched candidate resource collection of formula.
It should be noted that the aforementioned explanation to education resource distribution method embodiment is also applied for the embodiment
Education resource distributor, realization principle is similar, and details are not described herein again.
Education resource distributor provided by the embodiments of the present application determines mesh by the characteristic according to target object
The mode of learning for marking object, with according to the mode of learning of target object, obtained from resources bank with target object to study mould
Then candidate resource collection is sent to target object, and the feedback letter returned according to target object by the matched candidate resource collection of formula
Breath determines target resource corresponding with target object.Hereby it is achieved that according to the actual conditions of user itself, targetedly
Carry out education resource personalized recommendation, not only simplify user obtain operation, and also improve user learning interest and
Learning efficiency improves user experience.
In the exemplary embodiment, a kind of education resource distributor is additionally provided.
Fig. 5 is the structural schematic diagram according to the education resource distributor shown in one exemplary embodiment of the application.
Referring to Figure 5, the education resource distributor of the application includes：First determining module 110, acquisition module 120,
Sending module 130, the second determining module 140.
Wherein, the first determining module 110 is used for the characteristic according to target object, determines the study of the target object
Pattern；
Acquisition module 120 from resources bank for obtaining the matched candidate resource of mode of learning with the target object
Collection；
The acquisition module 120 is specifically used for：Dissection process is carried out to each resource in resources bank, is determined in the resources bank
The corresponding teaching pattern of each resource；Determine that each resource corresponds to the matching of teaching pattern and the mode of learning of the target object
Degree.
As a kind of optional way of realization, the application education resource distributor includes：Sorting module 150.
Wherein, sorting module 150 is used to concentrate each candidate resource and the target object according to the candidate resource
The matching degree of habit pattern determines that the candidate resource concentrates the sequence of each candidate resource.
Sending module 130 is used to the candidate resource collection being sent to the target object；
The feedback information that second determining module 140 is used to be returned according to the target object determines and the target object
Corresponding target resource.
As another optional way of realization, the application education resource distributor includes：Second acquisition module.
Wherein, the second acquisition module is used to obtain the attribute information and history clothes that the candidate resource concentrates each candidate resource
Business information.
The sending module 130 is specifically used for the candidate resource concentrating the corresponding attribute information of each candidate resource and go through
History information on services is sent to the target object.
At least one of attribute information of the candidate resource, including following information：When age, gender, portrait, free time
Between；
At least one of described history information on services, including following information：History service object mark, history service pair
Associated multi-medium data is serviced as corresponding service duration, the feedback data of history service object, with history.
It should be noted that the aforementioned explanation to education resource distribution method embodiment is also applied for the embodiment
Education resource distributor, realization principle is similar, and details are not described herein again.
Education resource distributor provided by the embodiments of the present application determines mesh by the characteristic according to target object
The mode of learning for marking object, with according to the mode of learning of target object, obtained from resources bank with target object to study mould
The matched candidate resource collection of formula, and the matching degree of the mode of learning of each candidate resource and target object is concentrated to carry out to candidate resource
It determines, then according to the matching degree of the mode of learning of each candidate resource and target object, each candidate money that candidate resource is concentrated
Source is ranked up, and the candidate resource collection after sequence is then sent to target object, and the feedback letter returned according to target object
Breath determines target resource corresponding with target object.Hereby it is achieved that according to the actual conditions of user itself, targetedly
Carry out education resource personalized recommendation, not only simplify user obtain operation, and also improve user learning interest and
Learning efficiency improves user experience, and according to the candidate resource collection after sequence, not only increases user and obtain study
The speed of resource, moreover it is possible to ensure that the education resource got more meets user's actual conditions, further meet user demand, carry
High user satisfaction.
In the exemplary embodiment, a kind of education resource distributor is additionally provided.
As shown in fig. 6, the education resource distributor of the application includes：First determining module 110, acquisition module 120, hair
Send module 130, the second determining module 140, third determining module 160.
Wherein, the first determining module 110 is used for the characteristic according to target object, determines the study of the target object
Pattern；
Third determining module 160 is used for according to each in corresponding first knowledge collection of the target object and the resources bank
Corresponding second knowledge collection of resource determines initial candidate resource set corresponding with the target object；
Acquisition module 120 is specifically used for from the initial candidate resource set, obtains the study mould with the target object
The matched candidate resource collection of formula；
Sending module 130 is used to the candidate resource collection being sent to the target object；
The feedback information that second determining module 140 is used to be returned according to the target object determines and the target object
Corresponding target resource.
Wherein, the third determining module 160 is specifically used for：
It is recorded according to the history learning of the target object, determines corresponding first knowledge collection of the target object；
And/or
According to the corresponding knowledge test result of the target object, corresponding first Knowledge Set of the target object is determined
It closes.
It should be noted that the aforementioned explanation to education resource distribution method embodiment is also applied for the embodiment
Education resource distributes, and realization principle is similar, and details are not described herein again.
This education resource distributor provided by the embodiments of the present application, by determining corresponding first Knowledge Set of target object
It closes, from corresponding second knowledge collection of each resource in resources bank, to determine initial candidate corresponding with target object
Then resource set screens initial candidate resource set further according to the mode of learning of target object to obtain candidate resource collection, so
Candidate resource collection is sent to target object, and the feedback information returned according to target object afterwards, determination is corresponding with target object
Target resource.As a result, the candidate resource generated concentrates each candidate resource for including, more meet user demand, to real
The actual conditions according to user itself are showed, have targetedly carried out the personalized recommendation of education resource, not only simplify user
Operation is obtained, and also improves the learning interest and learning efficiency of user, improves user experience.
In the exemplary embodiment, a kind of electronic equipment is additionally provided.
Fig. 7 is the structural schematic diagram according to the electronic equipment shown in an exemplary embodiment.The electronic equipment that Fig. 7 is shown is only
Only it is an example, any restrictions should not be brought to the function and use scope of the embodiment of the present application.
With reference to Fig. 7, which includes：Memory 210 and processor 220, the memory 210 are stored with meter
Calculation machine program, when the computer program is executed by processor 220 so that the processor 220 executes following steps：According to mesh
The characteristic for marking object, determines the mode of learning of the target object；With the target object is obtained from resources bank
Practise the candidate resource collection of pattern match；The candidate resource collection is sent to the target object；It is returned according to the target object
The feedback information returned determines target resource corresponding with the target object.
In some embodiments, it is described the candidate resource collection is sent to the target object before, further include：According to
The candidate resource concentrates each candidate resource to determine the candidate resource collection with the matching degree of the mode of learning of the target object
In each candidate resource sequence.
In some embodiments, before the sequence that the determination candidate resource concentrates each candidate resource, further include：It is right
Each resource carries out dissection process in resources bank, determines the corresponding teaching pattern of each resource in the resources bank；Determine each money
Source corresponds to the matching degree of teaching pattern and the mode of learning of the target object.
In some embodiments, described to be obtained from resources bank and the matched candidate money of the mode of learning of the target object
Before the collection of source, further include：It is right respectively according to each resource in corresponding first knowledge collection of the target object and the resources bank
The second knowledge collection answered determines initial candidate resource set corresponding with the target object；It is described from resources bank obtain with
The matched candidate resource collection of mode of learning of the target object, including：From the initial candidate resource set, obtain with it is described
The matched candidate resource collection of mode of learning of target object.
In some embodiments, before determination initial candidate resource set corresponding with the target object, further include：
It is recorded according to the history learning of the target object, determines corresponding first knowledge collection of the target object；And/or according to
The corresponding knowledge test result of the target object, determines corresponding first knowledge collection of the target object.
In some embodiments, it is described the candidate resource collection is sent to the target object before, further include：It obtains
The candidate resource concentrates the attribute information and history information on services of each candidate resource；It is described to be sent to the candidate resource collection
The target object, including：The candidate resource is concentrated into the corresponding attribute information of each candidate resource and history information on services, hair
Give the target object.In some embodiments, the play mode of the determination received pronunciation, including：Described in determination
The broadcasting time of received pronunciation, the interrelational form of broadcasting speed, and/or the received pronunciation and assistant voice.
In some embodiments, at least one of attribute information of the candidate resource, including following information：Age,
Gender, portrait, free time；At least one of described history information on services, including following information：History service object marks
Knowledge, the corresponding service duration of history service object, the feedback data of history service object and history service associated multimedia number
According to.
In some embodiments, the characteristic according to target object, determines the mode of learning of the target object,
Including：According to the mapping relations of preset characteristic and mode of learning, determination is corresponding with the characteristic of the target object
Mode of learning；Alternatively, the characteristic of the target object is inputted preset neural network model, according to described preset
The output of neural network model determines the mode of learning of the target object.
In some embodiments, the resources bank includes the corresponding teaching pattern of each resource；It is described to be obtained from resources bank
Take with the matched candidate resource collection of the mode of learning of the target object, including：From resources bank obtain teaching pattern with it is described
The matched candidate resource collection of mode of learning of target object.
In a kind of optional way of realization, as shown in figure 8, the electronic equipment 200 can also include：Memory 210 and
Processor 220, connects the bus 230 of different components (including memory 210 and processor 220), and memory 210 is stored with calculating
Machine program realizes the education resource distribution method described in the embodiment of the present application when processor 220 executes described program
Bus 230 indicates one or more in a few class bus structures, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using the arbitrary bus structures in a variety of bus structures.It lifts
For example, these architectures include but not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)
Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Electronic equipment 200 typically comprises various electronic readable medium.These media can be it is any can be electric
The usable medium that sub- equipment 200 accesses, including volatile and non-volatile media, moveable and immovable medium.
Memory 210 can also include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (RAM) 240 and/or cache memory 250.Electronic equipment 200 may further include it is other it is removable/can not
Mobile, volatile/non-volatile computer system storage medium.Only as an example, storage system 260 can be used for reading and writing not
Movably, non-volatile magnetic media (Fig. 8 do not show, commonly referred to as " hard disk drive ").It, can be with although being not shown in Fig. 8
It provides for the disc driver to moving non-volatile magnetic disk (such as " floppy disk ") read-write, and to removable non-volatile
The CD drive of CD (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driving
Device can be connected by one or more data media interfaces with bus 230.Memory 210 may include at least one program
There is one group of (for example, at least one) program module, these program modules to be configured to perform the application for product, the program product
The function of each embodiment.
Program/utility 280 with one group of (at least one) program module 270, can be stored in such as memory
In 210, such program module 270 includes --- but being not limited to --- operating system, one or more application program, other
Program module and program data may include the realization of network environment in each or certain combination in these examples.Journey
Sequence module 270 usually executes function and/or method in embodiments described herein.
Electronic equipment 200 can also be with one or more external equipments 290 (such as keyboard, sensing equipment, display 291
Deng) communication, can also be enabled a user to one or more equipment interact with the electronic equipment 200 communicate, and/or with make
Any equipment that the electronic equipment 200 can be communicated with one or more of the other computing device (such as network interface card, modem
Etc.) communication.This communication can be carried out by input/output (I/O) interface 292.Also, electronic equipment 200 can also lead to
Cross network adapter 293 and one or more network (such as LAN (LAN), wide area network (WAN) and/or public network, example
Such as internet) communication.As shown, network adapter 293 is communicated by bus 230 with other modules of electronic equipment 200.It answers
When understanding, although not shown in the drawings, other hardware and/or software module can be used in conjunction with electronic equipment 200, including it is but unlimited
In：Microcode, device driver, redundant processing unit, external disk drive array, RAID system, tape drive and number
According to backup storage system etc..
It should be noted that the aforementioned explanation to education resource distribution method embodiment is also applied for the embodiment
Electronic equipment, realization principle is similar, and details are not described herein again.
Electronic equipment provided by the embodiments of the present application determines target object by the characteristic according to target object
Mode of learning, with according to the mode of learning of target object, obtained from resources bank with target object to mode of learning it is matched
Then feedback information that candidate resource collection is sent to target object, and is returned according to target object by candidate resource collection, determine with
The corresponding target resource of target object.Hereby it is achieved that according to the actual conditions of user itself, study money is targetedly carried out
The personalized recommendation in source not only simplifies user and obtains operation, and also improves the learning interest and learning efficiency of user, changes
It has been apt to user experience.
In the exemplary embodiment, the application also proposed a kind of non-transient computer readable storage medium.
Above-mentioned non-transient computer readable storage medium, is stored thereon with computer program, which is executed by processor
When, realize the education resource distribution method.
In the description of the present application, it is to be understood that term " first ", " second " are used for description purposes only, and cannot
It is interpreted as indicating or implies relative importance or implicitly indicate the quantity of indicated technical characteristic.Define as a result, " the
One ", the feature of " second " can explicitly or implicitly include one or more this feature.In the description of the present application,
The meaning of " plurality " is two or more, unless otherwise specifically defined.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means that specific features described in conjunction with this embodiment or example or feature are contained in this
In at least one embodiment or example of application.In the present specification, schematic expression of the above terms are necessarily directed to
It is identical embodiment or example.Moreover, the specific features or feature of description in any one or more embodiments or can show
It can be combined in any suitable manner in example.In addition, without conflicting with each other, those skilled in the art can be by this specification
Described in different embodiments or examples and the features of different embodiments or examples be combined.
Any process described otherwise above or method description are construed as in flow chart or herein, and expression includes
It is one or more for realizing specific logical function or process the step of executable instruction code module, segment or portion
Point, and the range of the preferred embodiment of the application includes other realization, wherein can not press shown or discuss suitable
Sequence, include according to involved function by it is basic simultaneously in the way of or in the opposite order, to execute function, this should be by the application
Embodiment person of ordinary skill in the field understood.
Expression or logic and/or step described otherwise above herein in flow charts, for example, being considered use
In the order list for the executable instruction for realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (system of such as computer based system including processor or other can be held from instruction
The instruction fetch of row system, device or equipment and the system executed instruction) it uses, or combine these instruction execution systems, device or set
It is standby and use.For the purpose of this specification, " computer-readable medium " can any can be included, store, communicating, propagating or passing
Defeated program is for instruction execution system, device or equipment or the dress used in conjunction with these instruction execution systems, device or equipment
It sets.The more specific example (non-exhaustive list) of computer-readable medium includes following：Electricity with one or more wiring
Interconnecting piece (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable
Medium, because can be for example by carrying out optical scanner to paper or other media, then into edlin, interpretation or when necessary with it
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of the application can be realized with hardware, software, firmware or combination thereof.Above-mentioned
In embodiment, software that multiple steps or method can in memory and by suitable instruction execution system be executed with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of row technology or their combination are realized：With the logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit application-specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that realize all or part of step that above-described embodiment method carries
Suddenly it is that relevant hardware can be instructed to complete by program, the program can be stored in a kind of computer-readable storage medium
In matter, which includes the steps that one or a combination set of embodiment of the method when being executed.
In addition, each functional unit in each embodiment of the application can be integrated in a processing module, it can also
That each unit physically exists alone, can also two or more units be integrated in a module.Above-mentioned integrated mould
The form that hardware had both may be used in block is realized, can also be realized in the form of software function module.The integrated module is such as
Fruit is realized in the form of software function module and when sold or used as an independent product, can also be stored in a computer
In read/write memory medium.
Storage medium mentioned above can be read-only memory, disk or CD etc..Although having been shown and retouching above
Embodiments herein is stated, it is to be understood that above-described embodiment is exemplary, and should not be understood as the limit to the application
System, those skilled in the art can be changed above-described embodiment, change, replace and become within the scope of application
Type.
Claims (12)
1. a kind of education resource distribution method, which is characterized in that including：
According to the characteristic of target object, the mode of learning of the target object is determined；
The matched candidate resource collection of mode of learning with the target object is obtained from resources bank；
The candidate resource collection is sent to the target object；
According to the feedback information that the target object returns, target resource corresponding with the target object is determined.
2. the method as described in claim 1, which is characterized in that described that the candidate resource collection is sent to the target object
Before, further include：
Each candidate resource is concentrated to determine the time with the matching degree of the mode of learning of the target object according to the candidate resource
Select the sequence of each candidate resource in resource set.
3. method as claimed in claim 2, which is characterized in that the determination candidate resource concentrates the row of each candidate resource
Before sequence, further include：
Dissection process is carried out to each resource in resources bank, determines the corresponding teaching pattern of each resource in the resources bank；
Determine that each resource corresponds to the matching degree of teaching pattern and the mode of learning of the target object.
4. the method as described in claim 1, which is characterized in that the study obtained from resources bank with the target object
Before the candidate resource collection of pattern match, further include：
According to corresponding second knowledge of each resource in corresponding first knowledge collection of the target object and the resources bank
Set determines initial candidate resource set corresponding with the target object；
The matched candidate resource collection of mode of learning obtained from resources bank with the target object, including：
From the initial candidate resource set, the matched candidate resource collection of mode of learning with the target object is obtained.
5. method as claimed in claim 4, which is characterized in that determination initial candidate money corresponding with the target object
Before the collection of source, further include：
It is recorded according to the history learning of the target object, determines corresponding first knowledge collection of the target object；
And/or
According to the corresponding knowledge test result of the target object, corresponding first knowledge collection of the target object is determined.
6. method according to any one of claims 1 to 5, which is characterized in that described that the candidate resource collection is sent to the mesh
Before marking object, further include：
Obtain attribute information and history information on services that the candidate resource concentrates each candidate resource；
It is described that the candidate resource collection is sent to the target object, including：
The candidate resource is concentrated into the corresponding attribute information of each candidate resource and history information on services, is sent to the target pair
As.
7. method as claimed in claim 6, which is characterized in that in the attribute information of the candidate resource, including following information
It is at least one：Age, gender, portrait, free time；
At least one of described history information on services, including following information：History service object mark, history service object couple
The feedback data of the service duration, history service object answered services associated multi-medium data with history.
8. method according to any one of claims 1 to 5, which is characterized in that the characteristic according to target object determines
The mode of learning of the target object, including：
According to the mapping relations of preset characteristic and mode of learning, determination is corresponding with the characteristic of the target object
Mode of learning；
Alternatively,
The characteristic of the target object is inputted into preset neural network model, according to the preset neural network model
Output, determine the mode of learning of the target object.
9. method according to any one of claims 1 to 5, which is characterized in that the resources bank includes the corresponding teaching of each resource
Pattern；
The matched candidate resource collection of mode of learning obtained from resources bank with the target object, including：
The matched candidate resource collection of mode of learning of teaching pattern and the target object is obtained from resources bank.
10. a kind of education resource distributor, which is characterized in that including：
First determining module determines the mode of learning of the target object for the characteristic according to target object；
Acquisition module, for obtaining the matched candidate resource collection of mode of learning with the target object from resources bank；
Sending module, for the candidate resource collection to be sent to the target object；
Second determining module, the feedback information for being returned according to the target object, determination are corresponding with the target object
Target resource.
11. a kind of electronic equipment, which is characterized in that including：Memory and processor, the memory are stored with computer journey
Sequence, which is characterized in that when the computer program is executed by processor, realize the study money as described in claim 1-9 is any
Source distribution method.
12. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the program quilt
When processor executes, the education resource distribution method as described in claim 1-9 is any is realized.
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