CN108734348A - A kind of method and system of automatic push online course - Google Patents
A kind of method and system of automatic push online course Download PDFInfo
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- CN108734348A CN108734348A CN201810458294.0A CN201810458294A CN108734348A CN 108734348 A CN108734348 A CN 108734348A CN 201810458294 A CN201810458294 A CN 201810458294A CN 108734348 A CN108734348 A CN 108734348A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/52—Network services specially adapted for the location of the user terminal
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
Abstract
The application discloses a kind of method and system of automatic push online course, and this method includes：Obtain the regional information and age segment information of client to be pushed；It obtains and be in areal range with client, and/or other clients in same age bracket learn the log recording of online course；The pageview of each online course and click volume are divided into two groups：One group is prediction data, and another group is verification data；Prediction data is divided into two groups, regressive prediction model is calculated in one of which prediction data progress logistic regression；Another group of prediction data is substituted into regressive prediction model and obtains prediction click volume；Verification data is substituted into regressive prediction model and obtains verification click volume；When predicting click volume, and/or verifying click volume more than or equal to click volume threshold value, obtains corresponding online course and push to client to be pushed.The present invention can high efficiency, have pointedly to user push online course content.
Description
Technical field
The present invention relates to the technical fields of online education course push, more particularly, to a kind of online class of automatic push
The method and system of journey.
Background technology
Online education is a kind of learning behavior based on internet.With the fast development of internet technique, pass through
Network is the medium linked up, exchanged, and student and teacher carry out education activities being separated by ten thousand li；In addition, by network
Courseware, student can also learn whenever and wherever possible, really break the limitation in time and space, for being busy with one's work, learn
Network distance education is the mode of learning of most convenient only for time unfixed student.
The teaching resource degree difference in each area, teaching method are also not quite similar, and traditional teaching method is due to information
Occlusive, the teaching resource in each area is difficult to be shared and exchanged, and the education in each area is caused to follow the prescribed order, development
Efficiency is low.And this traditional education pattern has been broken in the appearance of online teaching course, online course is based on internet platform, with
Give lessons video and online living broadcast interactive is main media, and the content of courses similar with Traditional Classroom is provided to Internet user.Through
After development for many years, it is auxiliary that the content of online course has enumerated education of middle and primary schools, higher education, vocational ability education, examination
Many aspects such as lead, Course Category is abundant, and quantity is various, it may be possible to provide hundreds of even thousands of online courses.
Existing online education course sending method is the information characteristics that the administrative staff of online course provide according to user,
In conjunction with the content characteristic of each online course corresponding online course is chosen from lesson data library be sent to user, or according to
The online course request content of user searches for corresponding online course and is sent to the user.But artificial selection online course into
The efficiency that row is sent is low, mistake is also easily distributed in the case where user volume is big, user oneself selects from lesson data library
Course can expend a large amount of time and efforts of user again, uncertain to be caused comprehensively with respect to the various aspects of online course
Prevent user from obtain comprehensively, accurately online course.
Invention content
In view of this, the present invention provides a kind of method and system of automatic push online course, solves the prior art
Middle online course pushing efficiency is low, cannot be directed to the technical issues of each different user feature carries out intelligently pushing.
In order to solve the above-mentioned technical problem, the present invention proposes a kind of method of automatic push online course, including：
In online course management platform, the click volume threshold value to client push online course is preset；
When detecting that needing to be pushed client logs into the online course management platform, client to be pushed described in acquisition
The regional information and age segment information at end；
In same according to the regional information of the client to be pushed and age bracket acquisition of information and the client
Area's range, and/or in same age bracket other clients study online course log recording；
It analyzes the log recording and obtains the pageview and click volume of each online course, by each online course
Pageview and click volume are divided into two groups：One group is prediction data, and another group is verification data；
The prediction data is divided into two groups, prediction data described in one of which, which is carried out logistic regression, is calculated recurrence
Prediction model；Prediction data described in another group is substituted into the regressive prediction model and obtains prediction click volume；By the verification
Data, which substitute into the regressive prediction model, obtains verification click volume；
In the prediction click volume, and/or when verification click volume is greater than or equal to the click volume threshold value, obtain corresponding
The online course simultaneously pushes to the client to be pushed.
Optionally, wherein according to the regional information of the client to be pushed and age bracket acquisition of information and the client
It holds and is in areal range, and/or other clients in same age bracket learn the log recording of online course,
For：
In same according to the regional information of the client to be pushed and age bracket acquisition of information and the client
Area's range, and/or the daily record note that learns online course of other clients in set period of time in same age bracket
Record.
Optionally, wherein this method further includes：It is both less than described in all prediction click volumes and verification click volume
When click volume threshold value, obtains the prediction click volume or verifies the online course in click volume corresponding to maximum click volume,
And push to the client to be pushed.
Optionally, wherein be greater than or equal to the click volume threshold value in the prediction click volume, and/or verification click volume
When, it obtains the corresponding online course and pushes to the client to be pushed, be：
In the prediction click volume, and/or when verification click volume is greater than or equal to the click volume threshold value, obtain corresponding
The online course compares the preference information of the preference information of the client to be pushed and the online course；
The online course consistent with the preference information of client to be pushed is pushed into the client to be pushed
End.
Optionally, wherein the ratio range of the prediction data and verification data is：2：8 to 5：Between 5.
On the other hand, the present invention also provides a kind of systems of automatic push online course, including：Click volume threshold value is arranged
Device, push client-side information getter, the log analyzer of online course, Web hits forecasting device and online course pusher；Its
In,
The click volume threshold setter is connected with the online course pusher, presets online to client push
The click volume threshold value of course；
The push client-side information getter, is connected with the log analyzer of the online course, detects and need
When push client logs into the online course management platform, the regional information of client to be pushed and age described in acquisition
Segment information；
The log analyzer of the online course is connected with the push client-side information getter, is waited for according to described
The regional information and age bracket acquisition of information for pushing client are in areal range with the client, and/or in same
The log recording of other clients study online course in one age bracket；It analyzes the log recording and obtains each online course
Pageview and click volume, the pageview of each online course and click volume are divided into two groups：One group is prediction data, separately
One group is verification data；
The Web hits forecasting device, is connected with the log analyzer of the online course, and the prediction data is divided into
Two groups, prediction data described in one of which is subjected to logistic regression, regressive prediction model is calculated；It will be predicted described in another group
Data, which substitute into the regressive prediction model, obtains prediction click volume；The verification data is substituted into the regressive prediction model
Obtain verification click volume；
The online course pusher is connected with the Web hits forecasting device and click volume threshold setter, described
When predicting click volume, and/or verifying click volume more than or equal to the click volume threshold value, the corresponding online course is obtained simultaneously
Push to the client to be pushed.
Optionally, wherein the log analyzer of the online course, including：Online course log analysis unit and time
Setup unit；
The online course log analysis unit, regional information and the age bracket letter for the client to be pushed according to
Breath is obtained be in areal range with the client, and/or other clients in same age bracket are when setting
Between study online course in section log recording；
The time setting unit, for the set period of time to be arranged.
Optionally, wherein the online course pusher is additionally operable to：
When all prediction click volumes and verification click volume are both less than the click volume threshold value, the prediction is obtained
The online course in click volume or verification click volume corresponding to maximum click volume, and push to the client to be pushed.
Optionally, wherein the online course pusher, including：Predict click volume comparing unit and preference comparing unit；
Wherein,
The prediction click volume comparing unit, for being greater than or equal in the prediction click volume, and/or verification click volume
When the click volume threshold value, obtain the corresponding online course, by the preference information of client push and it is described
The preference information of line course compares；
The preference comparing unit, for by the online course consistent with the preference information of client to be pushed
Push to the client to be pushed.
Optionally, wherein the ratio range of the prediction data and verification data is：2：8 to 5：Between 5.
Compared with prior art, the method and system of automatic push online course provided by the invention is at least realized as follows
One of advantageous effect：
(1) method and system of automatic push online course of the present invention, according to the learning characteristic of user terminal, in conjunction with
The history learning situation and online course content of user, it is automatic, intelligently to user terminal push online course, can high efficiency,
With pointedly online course content is pushed to user, experience of the user to online course is improved.
(2) method and system of automatic push online course of the present invention, additionally it is possible in conjunction with areal and same
The each on-line study situation of client in age bracket is treated push client online course next time and is predicted, avoids use
Family end rests on always a learning hierarchy, improves user experience.
(3) method and system of automatic push online course of the present invention, can be at interval of a period of time update one
The preference information of secondary user can keep up with the case where user's study changes with preference in real time, and it is more accurate to be provided for user terminal
Online course push.
Description of the drawings
It is combined in the description and the attached drawing of a part for constitution instruction shows the embodiment of the present invention, and even
With its explanation together principle for explaining the present invention.By reading with reference to made by the following drawings to non-limiting embodiment institute
The detailed description of work, other features, objects and advantages will become more apparent upon：
Fig. 1 is a kind of flow diagram of the method for automatic push online course described in the embodiment of the present invention；
Fig. 2 is the flow diagram of the method for another automatic push online course described in the embodiment of the present invention；
Fig. 3 is the flow diagram of the method for another automatic push online course described in the embodiment of the present invention；
Fig. 4 is the flow diagram of the method for another automatic push online course described in the embodiment of the present invention；
Fig. 5 is a kind of structural schematic diagram of the system of automatic push online course described in the embodiment of the present invention；
Fig. 6 is the structural schematic diagram of the system of another automatic push online course described in the embodiment of the present invention；
Fig. 7 is the structural schematic diagram of the system of another automatic push online course described in the embodiment of the present invention.
Specific implementation mode
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related application, rather than the restriction to this application.It also should be noted that in order to
Convenient for description, illustrated only and the relevant part of the application in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
As shown in FIG. 1, FIG. 1 is the flow diagrams of the method for the automatic push online course described in the present embodiment.Pass through
Online course that each online course making side uploads and each user terminal are collected and managed to online course management platform
User information.When online course is uploaded to management platform, the backstage of management platform can give lessons preset in each online course
Teacher's information, course content information, complexity information, course are suitble to the information such as regional information to check, by verifying nothing
By uploading and being stored in management platform after accidentally, learn to watch for each user terminal.
The method of automatic push online course in the present embodiment, including following step：
Step 101, in online course management platform, receive online course, analysis online course obtains being preset in online
Preference information, teacher's information, course content information, complexity information and course in course are suitble to regional information and deposit
Storage；It receives the log-on messages such as area, age bracket, the preference of client typing and preserves.
By the setting of online course management platform, online course making side is when uploading online course, it is desirable to provide
Line course obtains being preset in teacher's information, course content information, complexity information and course in online course and is suitble to
The information such as regional information because the attribute factor of each online course can influence with the matching degree of user terminal, still
The degree of influence of each attribute factor is not quite similar again, and the client of areal and age bracket is in study often with identical
Preference, learn situation by other clients in same area and predict that the study hobby course of client push is more accurate.
Step 102 receives the logging request that client logs in online course management platform.
Step 103 when detecting that needing to be pushed client logs into online course management platform, obtains client to be pushed
The regional information and age segment information at end.
The online course learning historical record of client has reacted user during this period of time to online to a certain extent
The study trend of course can accurately obtain the study trend of user by the study trend analysis of user, and then be user
Accurate push on-line study course.
Step 104 is in samely according to the regional information and age bracket acquisition of information and client of client to be pushed
Area's range, and/or in same age bracket other clients study online course log recording.
Step 105, the analysis log recording obtain the pageview and click volume of each online course, will each online class
The pageview and click volume of journey are divided into two groups：One group is prediction data, and another group is verification data.
Prediction data is divided into two groups by step 106, and recurrence is calculated in one of which prediction data progress logistic regression
Prediction model；Another group of prediction data is substituted into regressive prediction model and obtains prediction click volume；Verification data is substituted into and is returned
Verification click volume is obtained in prediction model.
Step 107, prediction click volume, and/or verification click volume be greater than or equal to click volume threshold value when, obtain it is corresponding
Online course simultaneously pushes to client to be pushed.
In some optional embodiments, as shown in Fig. 2, for the side of another automatic push online course in the present embodiment
The flow diagram of method further includes unlike method in Fig. 1：
Step 201 pre-sets set period of time, according to the regional information of client to be pushed and age bracket acquisition of information
It is in areal range, and/or in set period of time of other clients in same age bracket with client
Practise the log recording of online course.
Optionally, set period of time can be nearest 7 days to 60 days.
In some optional embodiments, as shown in figure 3, for the side of another automatic push online course in the present embodiment
The flow diagram of method further includes unlike method in Fig. 1：
Step 301, when all prediction click volume and verification click volume are both less than click volume threshold value, obtain prediction and click
Online course in amount or verification click volume corresponding to maximum click volume, and push to client to be pushed.
In some optional embodiments, as shown in figure 4, for the side of another automatic push online course in the present embodiment
The flow diagram of method further includes unlike method in Fig. 1：
Step 401, prediction click volume, and/or verification click volume be greater than or equal to click volume threshold value when, obtain it is corresponding
Online course compares the preference information of the preference information of client to be pushed and online course.
The online course consistent with the preference information of client to be pushed is pushed to client to be pushed by step 402.
In some optional embodiments, the ratio range of prediction data and verification data is：2：8 to 5：Between 5.
As shown in figure 5, for a kind of structural schematic diagram of the system 500 of automatic push online course in the present embodiment, this is
The method united for implementing the automatic push online course in above-described embodiment, the system include：Click volume threshold setter
501, push client-side information getter 502, the log analyzer 503 of online course, Web hits forecasting device 504 and online course
Pusher 505.
Wherein, click volume threshold setter 501 is connected with online course pusher 505, presets to client push and exist
The click volume threshold value of line course；
Client-side information getter 502 is pushed, is connected with the log analyzer 503 of online course, is detected and need to be pushed away
When client being sent to log into online course management platform, the regional information and age segment information of client to be pushed are obtained；
The log analyzer 503 of online course is connected with push client-side information getter 604, objective according to waiting pushing
The regional information and age bracket acquisition of information at family end are in areal range with client, and/or in same age bracket
Other clients study online course log recording；Analysis log recording obtains pageview and the click of each online course
Amount, is divided into two groups by the pageview of each online course and click volume：One group is prediction data, and another group is verification data；
Web hits forecasting device 504 is connected with the log analyzer 505 of online course, and prediction data is divided into two groups, will
One of which prediction data carries out logistic regression and regressive prediction model is calculated；Another group of prediction data is substituted into regression forecasting
Prediction click volume is obtained in model；Verification data is substituted into regressive prediction model and obtains verification click volume；
Online course pusher 505 is connected with Web hits forecasting device 504 and click volume threshold setter 501, is predicting
Click volume, and/or verification click volume be greater than or equal to click volume threshold value when, obtain corresponding online course and push to and wait pushing
Client.
In some optional embodiments, as shown in fig. 6, for a kind of system of automatic push online course in the present embodiment
600 structural schematic diagram, the log analyzer 503 of online course, including：Online course log analysis unit 531 and time set
Order member 532；
Online course log analysis unit 531, for being obtained according to the regional information and age segment information of client to be pushed
It takes and is in areal range with client, and/or other clients in same age bracket are in set period of time
Learn the log recording of online course；
Time setting unit 532, for set period of time to be arranged.
In some optional embodiments, online course pusher 505 is additionally operable to：In all prediction click volumes and school
When testing click volume and being both less than click volume threshold value, obtains prediction click volume or verify online corresponding to maximum click volume in click volume
Course, and push to client to be pushed.
In some optional embodiments, as shown in fig. 7, for a kind of system of automatic push online course in the present embodiment
700 structural schematic diagram, online course pusher 505, including：Predict click volume comparing unit 551 and preference comparing unit
552；Wherein,
Prediction click volume comparing unit 551, for being greater than or equal to click in prediction click volume, and/or verification click volume
When measuring threshold value, corresponding online course is obtained, the preference information of the preference information of client to be pushed and online course is compared；
Preference comparing unit 552 is waited for for pushing to the online course consistent with the preference information of client to be pushed
Push client.
Optionally, in above system, the ratio range of prediction data and verification data is：2：8 to 5：Between 5.
By above-described embodiment it is found that the method and system of the automatic push online course of the present invention, has reached following
Advantageous effect：
(1) method and system of automatic push online course of the present invention, according to the learning characteristic of user terminal, in conjunction with
The history learning situation and online course content of user, it is automatic, intelligently to user terminal push online course, can high efficiency,
With pointedly online course content is pushed to user, experience of the user to online course is improved.
(2) method and system of automatic push online course of the present invention, additionally it is possible in conjunction with areal and same
The each on-line study situation of client in age bracket is treated push client online course next time and is predicted, avoids use
Family end rests on always a learning hierarchy, improves user experience.
(3) method and system of automatic push online course of the present invention, can be at interval of a period of time update one
The preference information of secondary user can keep up with the case where user's study changes with preference in real time, and it is more accurate to be provided for user terminal
Online course push.
Although some specific embodiments of the present invention are described in detail by example, the skill of this field
Art personnel it should be understood that example above merely to illustrating, the range being not intended to be limiting of the invention.The skill of this field
Art personnel are it should be understood that can without departing from the scope and spirit of the present invention modify to above example.This hair
Bright range is defined by the following claims.
Claims (10)
1. a kind of method of automatic push online course, which is characterized in that including：
In online course management platform, the click volume threshold value to client push online course is preset；
When detecting that needing to be pushed client logs into the online course management platform, client to be pushed described in acquisition
Regional information and age segment information；
According to the regional information of the client to be pushed and age bracket acquisition of information areal model is in the client
It encloses, and/or other clients in same age bracket learn the log recording of online course；
It analyzes the log recording and obtains the pageview and click volume of each online course, by the browsing of each online course
Amount and click volume are divided into two groups：One group is prediction data, and another group is verification data；
The prediction data is divided into two groups, prediction data described in one of which, which is carried out logistic regression, is calculated regression forecasting
Model；Prediction data described in another group is substituted into the regressive prediction model and obtains prediction click volume；By the verification data
It substitutes into the regressive prediction model and obtains verification click volume；
In the prediction click volume, and/or when verification click volume is greater than or equal to the click volume threshold value, obtain corresponding described
Online course simultaneously pushes to the client to be pushed.
2. the method for automatic push online course according to claim 1, which is characterized in that according to the client to be pushed
The regional information and age bracket acquisition of information at end are in areal range with the client, and/or are in same age bracket
Interior other clients learn the log recording of online course, are：
According to the regional information of the client to be pushed and age bracket acquisition of information areal model is in the client
It encloses, and/or the log recording that learns online course of the other clients in same age bracket in set period of time.
3. the method for automatic push online course according to claim 1, which is characterized in that further include：In all institutes
Prediction click volume and verification click volume are stated when being both less than the click volume threshold value, the prediction click volume is obtained or verifies click volume
The online course corresponding to middle maximum click volume, and push to the client to be pushed.
4. the method for automatic push online course according to claim 1, which is characterized in that in the prediction click volume,
And/or when verifying click volume more than or equal to the click volume threshold value, the corresponding online course of acquisition simultaneously pushes to described
Client to be pushed is：
In the prediction click volume, and/or when verification click volume is greater than or equal to the click volume threshold value, obtain corresponding described
Online course compares the preference information of the preference information of the client to be pushed and the online course；
The online course consistent with the preference information of client to be pushed is pushed into the client to be pushed.
5. the method for automatic push online course according to any one of claim 1 to 4, which is characterized in that described pre-
The ratio range of measured data and verification data is：2：8 to 5：Between 5.
6. a kind of system of automatic push online course, which is characterized in that including：Click volume threshold setter, push client
Information acquirer, the log analyzer of online course, Web hits forecasting device and online course pusher；Wherein,
The click volume threshold setter is connected with the online course pusher, presets to client push online course
Click volume threshold value；
The push client-side information getter, is connected with the log analyzer of the online course, detects and need to be pushed
When client logs into the online course management platform, regional information and the age bracket letter of client to be pushed described in acquisition
Breath；
The log analyzer of the online course is connected with the push client-side information getter, waits pushing according to described
The regional information and age bracket acquisition of information of client are in areal range with the client, and/or are in same year
The log recording of other clients study online course in age section；It analyzes the log recording and obtains the clear of each online course
The pageview of each online course and click volume are divided into two groups by the amount of looking at and click volume：One group be prediction data, another group
For verification data；
The Web hits forecasting device, is connected with the log analyzer of the online course, and the prediction data is divided into two groups,
Prediction data described in one of which is subjected to logistic regression, regressive prediction model is calculated；By prediction data generation described in another group
Enter to obtain prediction click volume in the regressive prediction model；The verification data is substituted into the regressive prediction model and obtains school
Test click volume；
The online course pusher is connected with the Web hits forecasting device and click volume threshold setter, in the prediction
Click volume, and/or when verification click volume is greater than or equal to the click volume threshold value, obtains the corresponding online course and simultaneously push
To the client to be pushed.
7. the system of automatic push online course according to claim 6, which is characterized in that the daily record of the online course
Analyzer, including：Online course log analysis unit and time setting unit；
The online course log analysis unit, regional information and age segment information for the client to be pushed according to obtain
It takes and is in areal range with the client, and/or other clients in same age bracket are in set period of time
The log recording of interior study online course；
The time setting unit, for the set period of time to be arranged.
8. the system of automatic push online course according to claim 6, which is characterized in that the online course push
Device is additionally operable to：
When all prediction click volumes and verification click volume are both less than the click volume threshold value, obtain the prediction and click
The online course in amount or verification click volume corresponding to maximum click volume, and push to the client to be pushed.
9. the system of automatic push online course according to claim 6, which is characterized in that the online course push
Device, including：Predict click volume comparing unit and preference comparing unit；Wherein,
The prediction click volume comparing unit is used in the prediction click volume, and/or verification click volume is more than or equal to described
When click volume threshold value, the corresponding online course is obtained, by the preference information of the client to be pushed and the online class
The preference information of journey compares；
The preference comparing unit, for pushing the online course consistent with the preference information of client to be pushed
To the client to be pushed.
10. the system of the automatic push online course according to any one of claim 6 to 9, which is characterized in that described pre-
The ratio range of measured data and verification data is：2：8 to 5：Between 5.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113726839A (en) * | 2021-06-17 | 2021-11-30 | 武汉理工数字传播工程有限公司 | Virtual resource sending method, device, equipment and storage medium |
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