CN109712042A - Determination method, apparatus, equipment and the storage medium of course push effect - Google Patents
Determination method, apparatus, equipment and the storage medium of course push effect Download PDFInfo
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Abstract
The embodiment of the present application provides determination method, apparatus, equipment and the storage medium of a kind of course push effect, the described method includes: by after getting the network on-line study data in preset duration, according to the network on-line study data in the preset duration, determine that personalization course pushes index, wherein, the personalized course push index includes: accuracy index and/or diversity index；The accuracy index includes at least one of the following: study person-time increment index, study duration increment index, study performance increment index；The diversity index includes at least one of the following: the push course classification diversity index in single phase push course classification diversity index and/or preset time section；Further, it according to the personalized course push index and preset threshold, determines that personalized course pushes effect, improves personalized course push mode in order to push effect according to personalized course, be conducive to improve personalized course push effect.
Description
Technical field
This application involves field of computer technology more particularly to determination method, apparatus, the equipment of a kind of course push effect
And storage medium.
Background technique
With the development of computer networking technology, network on-line study as presently most popular one of mode of learning,
Extensive resource and open platform are provided to a certain extent for study user.
In the related technology, by being pushed away for study user individual according to information such as the preference of study user and study history
Give it may interested course.
In order to advantageously improve personalized course push, how to determine that personalized course push effect is urgently to be resolved asks
Topic.
Summary of the invention
The embodiment of the present application provides determination method, apparatus, equipment and the storage medium of a kind of course push effect, solves
The technical issues of how determining personalized course push effect in the related technology.
In a first aspect, the embodiment of the present application provides a kind of determination method of course push effect, comprising:
Obtain the network on-line study data in preset duration；Wherein, the network on-line study data be used to indicate with
It is at least one of lower: study person-time, study duration, study performance, the course categorical measure for study user's push, study user
Quantity, enliven course categorical measure；
According to the network on-line study data in the preset duration, determine that personalization course pushes index；Wherein, described
Personalized course push index includes: accuracy index and/or diversity index；The accuracy index includes following at least one
: study person-time increment index, study duration increment index, study performance increment index；The diversity index include with
At least one of lower: the push course classification diversity in single phase push course classification diversity index and/or preset time section refers to
Mark；
According to the personalized course push index and preset threshold, determine that personalization course pushes effect.
In one possible implementation, if the preset duration includes first time section and the second time interval,
Network on-line study data in the acquisition preset duration, comprising:
Obtain the first network on-line study data of the first time section and second time interval；Wherein, institute
State the second time interval be any course push the phase time interval, the first time section be the course push the phase it
The preceding time interval with the second time interval equal length；The first network on-line study data are used to indicate following
At least one of: study person-time, study duration, study performance；
Accordingly, the network on-line study data according in the preset duration determine that personalization course push refers to
Mark, comprising:
According to the first network on-line study data in the first time section and second time interval, it is accurate to determine
Property index.
In one possible implementation, if the first network on-line study data are used to indicate study person-time, institute
The first network on-line study data according to the first time section and second time interval are stated, determine that accuracy refers to
Mark, comprising:
According to the study person-time of all courses, all courses in second time interval in the first time section
The study person-time of push course in study person-time and second time interval, determines study person-time increment index.
In one possible implementation, if the first network on-line study data are used to indicate study duration, institute
The first network on-line study data according to the first time section and second time interval are stated, determine that accuracy refers to
Mark, comprising:
According to all courses in the study duration of all courses in the first time section, second time interval
The study duration for learning push course in duration and second time interval determines study duration increment index.
In one possible implementation, if the first network on-line study data are used to indicate study performance,
The first network on-line study data according to the first time section and second time interval, determine that accuracy refers to
Mark, comprising:
According to all courses in the study performance of all courses in the first time section, second time interval
Study performance and second time interval in push course study performance, determine study performance increment refer to
Mark.
In one possible implementation, if the preset duration includes: multiple second in preset time section
Between section and third time interval, it is described obtain preset duration in network on-line study data, including
Obtain the second network on-line study data of multiple second time intervals and the third network of third time interval
On-line study data；Wherein, the second network on-line study data of any second time interval include: second time
It is the course categorical measure of study user's push in section, the quantity of the study user；The third network on-line study number
According to including enlivening course categorical measure；The third time interval is greater than second time interval；
Accordingly, the network on-line study data according in the preset duration determine that personalization course push refers to
Mark, comprising:
According to the second network on-line study data and the third time zone of the multiple second time interval
Between third network on-line study data, determine diversity index.
In one possible implementation, second network according to the multiple second time interval is online
The third network on-line study data of learning data and the third time interval, determine diversity index, comprising:
It is the course class of study user's push according in second time interval for any second time interval
Other quantity, the quantity of the study user and the third time interval enliven course categorical measure, determine described second
Single phase of time interval pushes course classification diversity index；
Course classification diversity is pushed according to single phase of multiple second time intervals in the preset time section
The quantity of second time interval in index and the preset time section, determines the push in the preset time section
Course classification diversity index.
Second aspect, the embodiment of the present application provide a kind of determining device of course push effect, comprising:
Module is obtained, for obtaining the network on-line study data in preset duration；Wherein, the network on-line study number
It is at least one of following according to being used to indicate: study person-time, study duration, study performance, the course classification to learn user's push
Quantity, enlivens course categorical measure at the quantity for learning user；
First determining module, for determining personalization course according to the network on-line study data in the preset duration
Push index；Wherein, the personalized course push index includes: accuracy index and/or diversity index；The accuracy
Index includes at least one of the following: study person-time increment index, study duration increment index, study performance increment index；Institute
It states diversity index and includes at least one of the following: pushing away for single phase push course classification diversity index and/or preset time section
Send course classification diversity index；
Second determining module, for determining personalization course according to the personalized course push index and preset threshold
Push effect.
In one possible implementation, if the preset duration includes first time section and the second time interval,
The acquisition module is specifically used for:
Obtain the first network on-line study data of the first time section and second time interval；Wherein, institute
State the second time interval be any course push the phase time interval, the first time section be the course push the phase it
The preceding time interval with the second time interval equal length；The first network on-line study data are used to indicate following
At least one of: study person-time, study duration, study performance；
Accordingly, first determining module is specifically used for: according to the first time section and second time zone
Between first network on-line study data, determine accuracy index.
In one possible implementation, if the first network on-line study data are used to indicate study person-time, institute
The first determining module is stated to be specifically used for:
According to the study person-time of all courses, all courses in second time interval in the first time section
The study person-time of push course in study person-time and second time interval, determines study person-time increment index.
In one possible implementation, if the first network on-line study data are used to indicate study duration, institute
The first determining module is stated to be specifically used for:
According to all courses in the study duration of all courses in the first time section, second time interval
The study duration for learning push course in duration and second time interval determines study duration increment index.
In one possible implementation, if the first network on-line study data are used to indicate study performance,
First determining module is specifically used for:
According to all courses in the study performance of all courses in the first time section, second time interval
Study performance and second time interval in push course study performance, determine study performance increment refer to
Mark.
In one possible implementation, if the preset duration includes: multiple second in preset time section
Between section and third time interval, the acquisition module is specifically used for:
Obtain the second network on-line study data of multiple second time intervals and the third network of third time interval
On-line study data；Wherein, the second network on-line study data of any second time interval include: second time
It is the course categorical measure of study user's push in section, the quantity of the study user；The third network on-line study number
According to including enlivening course categorical measure；The third time interval is greater than second time interval；
Accordingly, first determining module is specifically used for: according to the second net of the multiple second time interval
The third network on-line study data of network on-line study data and the third time interval, determine diversity index.
In one possible implementation, first determining module is specifically used for:
It is the course class of study user's push according in second time interval for any second time interval
Other quantity, the quantity of the study user and the third time interval enliven course categorical measure, determine described second
Single phase of time interval pushes course classification diversity index；
Course classification diversity is pushed according to single phase of multiple second time intervals in the preset time section
The quantity of second time interval in index and the preset time section, determines the push in the preset time section
Course classification diversity index.
The third aspect, the embodiment of the present application provide a kind of course push effect locking equipment really, comprising: memory and processing
Device；
Wherein, the memory, for storing program instruction；
The processor, for calling and executing the program instruction stored in the memory, when the processor executes
When the program instruction of the memory storage, locking equipment is used to execute appointing for above-mentioned first aspect to the course push effect really
Method described in one implementation.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, the computer-readable storage medium
Instruction is stored in matter, when described instruction is run on computers, so that computer executes any reality of above-mentioned first aspect
Method described in existing mode.
Determination method, apparatus, equipment and the storage medium of course push effect provided by the embodiments of the present application, by obtaining
After getting the network on-line study data in preset duration, according to the network on-line study data in the preset duration, determine
Personalized course pushes index, wherein the personalization course push index includes: accuracy index and/or diversity index；
The accuracy index includes at least one of the following: that study person-time increment index, study duration increment index, study performance increase
Figureofmerit；The diversity index includes at least one of the following: single phase push course classification diversity index and/or preset time
The push course classification diversity index in section；Further, according to the personalized course push index and preset threshold, really
Fixed personalization course pushes effect, pushes mode in order to push the personalized course of effect improvement according to personalized course, favorably
Effect is pushed in improving personalized course.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this Shen
Some embodiments please for those of ordinary skill in the art without any creative labor, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the flow diagram for the determination method that the course that one embodiment of the application provides pushes effect；
Fig. 2 is the structural schematic diagram for the determining device that the course that one embodiment of the application provides pushes effect；
Fig. 3 is the structural schematic diagram that the course that provides of one embodiment of the application pushes effect locking equipment really.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is
Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall in the protection scope of this application.
Firstly, application scenarios involved in the embodiment of the present application and part vocabulary are introduced.
Determination method, apparatus, equipment and the storage medium of course push effect provided by the embodiments of the present application can be applied
In the monitoring application scenarios of personalized course push effect in network on-line study, personalized class can be accurately determined out
Journey pushes effect, improves personalized course push mode in order to push effect according to personalized course, is conducive to improve individual character
Change course and pushes effect.
Certainly, determination method, apparatus, equipment and the storage medium of course push effect provided by the embodiments of the present application may be used also
To be applied in other application scene, in the embodiment of the present application to this and with no restriction.
In the embodiment of the present application, the executing subject for executing the determination method of course push effect can push effect for course
Really locking equipment, or the determining device of course push effect of the course push effect really in locking equipment is set.
Illustratively, the determining device of course push effect provided by the embodiments of the present application or course push effect really
Locking equipment can pass through software and or hardware realization.
Really locking equipment can include but is not limited to following any one to the push of course involved in the embodiment of the present application effect:
The equipment having data processing function such as mobile phone, computer or server；It is, of course, also possible to be other having data processing function
Equipment, in the embodiment of the present application to this and with no restriction.
Network on-line study platform involved in the embodiment of the present application can include but is not limited to: enterprise's online learning is flat
Platform.
Network on-line study data involved in the embodiment of the present application can serve to indicate that at least one of following: study people
Secondary, study duration, the course categorical measure to learn user's push, the quantity for learning user, enlivens course class at study performance
Other quantity.
Study person-time involved in the embodiment of the present application refers to the click volume of course.
Study duration involved in the embodiment of the present application refers to the playing duration of course.
Study performance involved in the embodiment of the present application refers to the quantity for completing the study user of course learning.It is exemplary
Ground, the study user for completing course learning refer to that the playing duration for watching corresponding course reaches preset duration (such as the course
Total duration) study user.
The quantity for learning user involved in the embodiment of the present application refers to be existed by network involved in the embodiment of the present application
The quantity for the user that line learning platform is learnt.
Study person-time corresponding to the course that course classification refers to that it includes is enlivened involved in the embodiment of the present application greater than 0
Course classification.
Course categorical measure is enlivened involved in the embodiment of the present application refer to enliven course involved in the embodiment of the present application
The quantity of classification.
Property course involved in the embodiment of the present application push index can include but is not limited to: accuracy index and/or
Diversity index；Wherein, the accuracy index can include but is not limited at least one of following: study person-time increment index,
Learn duration increment index, study performance increment index；The diversity index can include but is not limited to following at least one
: single phase push course classification diversity index and/or the push course classification diversity index in preset time section.
Number " first " and " second " in the embodiment of the present application etc. are to be used to distinguish similar objects, without being used for
The specific sequence of description or precedence should not constitute any restriction to the embodiment of the present application.
Determination method, apparatus, equipment and the storage medium of course push effect provided by the embodiments of the present application, by obtaining
After getting the network on-line study data in preset duration, according to the network on-line study data in the preset duration, determine
Personalized course pushes index, wherein the personalization course push index includes: accuracy index and/or diversity index；
The accuracy index includes at least one of the following: that study person-time increment index, study duration increment index, study performance increase
Figureofmerit；The diversity index includes at least one of the following: single phase push course classification diversity index and/or preset time
The push course classification diversity index in section；It further, can according to the personalized course push index and preset threshold
To accurately determine out personalized course push effect, personalized course push effect how is determined in the related technology to solve
The technical issues of fruit.
How the technical solution of the application and the technical solution of the application are solved with specifically embodiment below above-mentioned
Technical problem is described in detail.These specific embodiments can be combined with each other below, for the same or similar concept
Or process may repeat no more in certain embodiments.
Fig. 1 is the flow diagram for the determination method that the course that one embodiment of the application provides pushes effect.Such as Fig. 1 institute
Show, the method for the embodiment of the present application may include:
Step S101, the network on-line study data in preset duration are obtained.
Illustratively, network on-line study data involved in the embodiment of the present application can serve to indicate that following at least one
: study person-time, study duration, study performance, for study user push course categorical measure, learn user quantity,
Enliven course categorical measure.
Study person-time involved in the embodiment of the present application refers to the click volume of course.
Study duration involved in the embodiment of the present application refers to the playing duration of course.
Study performance involved in the embodiment of the present application refers to the quantity for completing the study user of course learning.It is exemplary
Ground, the study user for completing course learning refer to that the playing duration for watching corresponding course reaches preset duration (such as the course
Total duration) study user.
The quantity for learning user involved in the embodiment of the present application refers to be existed by network involved in the embodiment of the present application
The quantity for the user that line learning platform is learnt.
Study person-time corresponding to the course that course classification refers to that it includes is enlivened involved in the embodiment of the present application greater than 0
Course classification.
Course categorical measure is enlivened involved in the embodiment of the present application refer to enliven course involved in the embodiment of the present application
The quantity of classification.
Achievable side of the following part of the embodiment of the present application to " obtaining the network on-line study data in preset duration "
Formula is introduced.
A kind of possible implementation obtains if the preset duration includes first time section and the second time interval
The first network on-line study data in the first time section and second time interval.
Preset duration involved in the embodiment of the present application can include but is not limited to first time section and the second time zone
Between, wherein the time interval that second time interval can push the phase for any course (executes personalized course push
Time interval), the first time section is before the course pushes phase (executing the personalized course push)
With the time interval of the second time interval equal length.
In this implementation, obtain the first time section first network on-line study data and second time
The first network on-line study data in section；Wherein, the first network on-line study data can serve to indicate that it is following at least
One: study person-time, study duration, study performance.
Illustratively, it if the first network on-line study data are used to indicate study person-time, is related in the embodiment of the present application
And the first network on-line study data in the first time section can include but is not limited in the first time section
The study person-time of all courses；The first network on-line study data of second time interval involved in the embodiment of the present application
It can include but is not limited to: in second time interval in the study person-time of all courses and second time interval
Push the study person-time of course.
Illustratively, it if the first network on-line study data are used to indicate study duration, is related in the embodiment of the present application
And the first network on-line study data in the first time section can include but is not limited in the first time section
The study duration of all courses；The first network on-line study data of second time interval involved in the embodiment of the present application
It can include but is not limited to: in second time interval in the study duration of all courses and second time interval
Push the study duration of course.
Illustratively, if the first network on-line study data are used to indicate study performance, in the embodiment of the present application
The first network on-line study data in the first time section being related to can include but is not limited to the first time section
The study performance of interior all courses；The first network on-line study of second time interval involved in the embodiment of the present application
Data can include but is not limited to: the study performance of all courses and second time in second time interval
The study performance of course is pushed in section.
Alternatively possible implementation, if the preset duration includes: multiple second times in preset time section
Section and third time interval obtain the second network on-line study data and third time zone of multiple second time intervals
Between third network on-line study data.
Preset duration involved in the embodiment of the present application can include but is not limited to: in preset time section multiple second when
Between section and third time interval；Wherein, second time interval can push the time interval of phase for any course, described
Third time interval is greater than second time interval.
Illustratively, the third time interval can be equal to the preset time section, can also be not equal to described pre-
If time interval.
In this implementation, the second network on-line study data of the multiple second time interval and described are obtained
The third network on-line study data of third time interval.
Illustratively, the second network on-line study number of any second time interval involved in the embodiment of the present application
According to can include but is not limited to: being the course categorical measure of study user's push, study use in second time interval
The quantity at family.
Illustratively, the third network on-line study data of the third time interval involved in the embodiment of the present application can
To include but is not limited to that the third time interval enlivens course categorical measure.
Certainly, also the network on-line study data in preset duration can be obtained by other achievable modes, the application is real
It applies in example to this and with no restriction.
Step S102, according to the network on-line study data in the preset duration, determine that personalization course pushes index.
The push of personalized course involved in the embodiment of the present application index can include but is not limited to: accuracy index and/
Or diversity index；Wherein, the accuracy index can include but is not limited at least one of following: a study person-time increment refers to
Mark, study duration increment index, study performance increment index；The diversity index can include but is not limited to it is following at least
One: single phase (i.e. certain course pushes the phase, or executes certain personalized course and push corresponding second time interval) push
Course classification diversity index and/or the push course classification diversity index in preset time section.
The following part of the embodiment of the present application is to " determining a according to the network on-line study data in the preset duration
Property course push index " achievable mode be introduced.
A kind of possible implementation, it is above-mentioned if the preset duration includes first time section and the second time interval
Step S101 includes the first network on-line study data for obtaining the first time section and second time interval, then root
According to the first network on-line study data in the first time section and second time interval, accuracy index is determined.
In this implementation, if the preset duration includes first time section and the second time interval, above-mentioned steps
S101 includes the first network on-line study data (described first for obtaining the first time section and second time interval
Network on-line study data can serve to indicate that at least one of following: study person-time, study duration, study performance), then it can be with
It is learned online according to the first network of the first network on-line study data in the first time section and second time interval
Data are practised, determine accuracy index；Wherein, the accuracy index can include but is not limited at least one of following: study people
Secondary increment index, study duration increment index, study performance increment index.
Illustratively, if the first network on-line study data are used to indicate study person-time, according to the first time
The study person-time of all courses in section, in second time interval study person-time of all courses and it is described second when
Between the study person-time of course is pushed in section, determine study person-time increment index.
In this example, if the first network on-line study data are used to indicate study person-time, related in the embodiment of the present application
And the first network on-line study data in the first time section can include but is not limited in the first time section
The first network on-line study of second time interval involved in the study person-time and the embodiment of the present application of all courses
Data can include but is not limited to: the study person-time of all courses and second time zone in second time interval
The study person-time of interior push course, then can be according to the study person-time of all courses in the first time section, described the
The study person-time of all courses and the study person-time of the interior push course of second time interval in two time intervals, according to
Following formula (1) determines study person-time increment index.
LNi=α (LNAT2i-LNAT1i)/LNAT1i+β(RLNT2i/LNAT2i) formula (1)
Wherein, LNiRepresenting course push phase i, (for i to take all over the positive integer for being not more than I, I represents the sum of course push phase
Amount) study person-time increment index；LNAT2iRepresent the study of all courses in corresponding second time interval of course push phase i
Person-time；LNAT1iRepresent the study person-time of all courses in the first time section before course pushes phase i；RLNT2iRepresent class
Journey pushes the study person-time of push course in corresponding second time interval of phase i；α represents the first predetermined coefficient, and it is pre- that β represents second
If coefficient, alpha+beta=1,0≤α, β≤1.
It is, of course, also possible to according to the study person-time of all courses, second time interval in the first time section
The study person-time of push course in the study person-time of interior all courses and second time interval, according to above-mentioned formula (1)
Other equivalent or deformation formula determine study person-time increment index, in the embodiment of the present application to this and with no restriction.
Illustratively, if the first network on-line study data are used to indicate study duration, according to the first time
The study duration of all courses in section, in second time interval study duration of all courses and it is described second when
Between the study duration of course is pushed in section, determine study duration increment index.
In this example, if the first network on-line study data are used to indicate study duration, related in the embodiment of the present application
And the first network on-line study data in the first time section can include but is not limited in the first time section
The first network on-line study of second time interval involved in the study duration and the embodiment of the present application of all courses
Data can include but is not limited to: the study duration of all courses and second time zone in second time interval
The study duration of interior push course, then can be according to the study duration of all courses in the first time section, described the
The study duration of all courses and the study duration of the interior push course of second time interval in two time intervals, according to
Following formula (2) determines study duration increment index.
LTi=α (LTAT2i-LTAT1i)/LTAT1i+β(RLTT2i/LTAT2i) formula (2)
Wherein, LTiRepresent the study duration increment index of course push phase i；LTAT2iIt is corresponding to represent course push phase i
The study duration of all courses in second time interval；LTAT1iRepresent institute in the first time section before course pushes phase i
There is the study duration of course；RLTT2iRepresent the study duration of push course in corresponding second time interval of course push phase i.
It is, of course, also possible to according to the study duration of all courses, second time interval in the first time section
The study duration of push course in the study duration of interior all courses and second time interval, according to above-mentioned formula (2)
Other equivalent or deformation formula determine study duration increment index, in the embodiment of the present application to this and with no restriction.
Illustratively, if the first network on-line study data are used to indicate study performance, when according to described first
Between the study performance of all courses in section, the study performance of all courses and described in second time interval
The study performance of push course in second time interval, determines study performance increment index.
In this example, if the first network on-line study data are used to indicate study performance, in the embodiment of the present application
The first network on-line study data in the first time section being related to can include but is not limited to the first time section
The first network of second time interval involved in the study performance and the embodiment of the present application of interior all courses is online
Learning data can include but is not limited to: the study performance of all courses and described second in second time interval
The study performance of push course in time interval can then be completed according to the study of all courses in the first time section
The study performance of all courses and the interior push course of second time interval in amount, second time interval
Performance is practised, determines study performance increment index according to following formula (3).
LCNi=α (LCNAT2i-LCNAT1i)/LCNAT1i+β(RLCNT2i/LCNAT2i)
Formula (3)
Wherein, LCNiRepresent the study performance increment index of course push phase i；LCNAT2iIt represents course and pushes i pairs of the phase
The study performance of all courses in the second time interval answered；LCNAT1iRepresent the first time area before course push phase i
The study performance of interior all courses；RLCNT2iRepresent push course in corresponding second time interval of course push phase i
Learn performance.
It is, of course, also possible to according to the study performance, second time zone of all courses in the first time section
The study performance of push course in the study performance of interior all courses and second time interval, according to above-mentioned
The other equivalent or deformation formula of formula (3) determines study performance increment index, does not limit in the embodiment of the present application this
System.
Alternatively possible implementation, if the preset duration includes: multiple second times in preset time section
Section and third time interval, above-mentioned steps S101 include the second network on-line study number for obtaining multiple second time intervals
According to and third time interval third network on-line study data, then according to the of the multiple second time interval
The third network on-line study data of two network on-line study data and the third time interval, determine diversity index.
In this implementation, if the preset duration includes: multiple second time intervals and in preset time section
Three time intervals, above-mentioned steps S101 include second network on-line study data (any institute for obtaining multiple second time intervals
The the second network on-line study data for stating the second time interval can include but is not limited to: be study in second time interval
User push course categorical measure, it is described study user quantity) and third time interval third network on-line study
(the third network on-line study data of the third time interval can include but is not limited to the third time interval to data
Enliven course categorical measure), then can according to the second network on-line study data of the multiple second time interval, with
And the third network on-line study data of the third time interval, determine diversity index；Wherein, the diversity index can
To include but is not limited at least one of following: the push in single phase push course classification diversity index and/or preset time section
Course classification diversity index.
Illustratively, it for any second time interval, is pushed away according in second time interval for study user
Course categorical measure, the quantity for learning user and the third time interval sent enlivens course categorical measure, really
Single phase of fixed second time interval pushes course classification diversity index；Further, according to the preset time section
In the push course classification diversity index of single phase of interior multiple second time intervals and the preset time section
The quantity of second time interval determines the push course classification diversity index in the preset time section.
In this example, for any second time interval, it can be used according in second time interval for study
Course categorical measure, the quantity for learning user and the third time interval that family pushes enliven course classification number
Amount determines that single phase of second time interval pushes course classification diversity index according to following formula (4).
Wherein, RViPush of the single phase course classification diversity for representing corresponding second time interval of course push phase i refers to
Mark；SN represents the quantity of study user；Vi,jIt represents in corresponding second time interval of course push phase i as study user j push
Course categorical measure；V0Represent third time interval (such as nearly half a year etc.) enlivens course categorical measure.
It is, of course, also possible to according to the course categorical measure in second time interval for study user's push,
The quantity and the third time interval for commonly using family enliven course categorical measure, according to the other equivalent of above-mentioned formula (4)
Or deformation formula determines push of the single phase course classification diversity index of second time interval, to this in the embodiment of the present application
And with no restriction.
It is possible to further according to single phase push class of multiple second time intervals in the preset time section
The quantity of second time interval in journey classification diversity index and the preset time section, according to following formula
(5) the push course classification diversity index in the preset time section is determined.
Wherein, LRV represents the push course classification diversity index in preset time section；RVkRepresent the preset time
Single phase of corresponding second time interval of course push phase k in section pushes course classification diversity index；N represents described pre-
If the quantity of the second time interval (or course pushes the phase) in time interval.
It is, of course, also possible to push course according to single phase of multiple second time intervals in the preset time section
The quantity of second time interval in classification diversity index and the preset time section, according to above-mentioned formula (5)
Other equivalent or deformation formula determine the push course classification diversity index in the preset time section, the embodiment of the present application
In to this and with no restriction.
Certainly, it according to the network on-line study data in the preset duration, can also be determined by other achievable modes
Personalized course pushes index, in the embodiment of the present application to this and with no restriction.
Step S103, according to the personalized course push index and preset threshold, determine that personalization course pushes effect.
The push of personalized course involved in the embodiment of the present application index can include but is not limited to: accuracy index and/
Or diversity index；Wherein, the accuracy index can include but is not limited at least one of following: a study person-time increment refers to
Mark, study duration increment index, study performance increment index；The diversity index can include but is not limited to it is following at least
One: single phase push course classification diversity index and/or the push course classification diversity index in preset time section.
Illustratively, index is pushed for arbitrariness course, the property can be previously provided in the embodiment of the present application
Change at least one corresponding preset threshold of course push index, in order to determine that personalized course pushes effect.For example, if individual character
Changing course push index includes study person-time increment index, then is previously provided with the study person-time corresponding preset threshold of increment index
1；If personalized course push index includes study duration increment index, it is corresponding to be previously provided with study duration increment index
Preset threshold 2；If personalized course push index includes study performance increment index, it is previously provided with study performance and increases
The corresponding preset threshold 3 of figureofmerit；If personalized course push index includes single phase pushing course classification diversity index, in advance
First it is provided with the corresponding preset threshold 4 of single phase push course classification diversity index；If personalized course push index includes pre-
If the push course classification diversity index of time interval, then the push course classification multiplicity in preset time section is previously provided with
The property corresponding preset threshold 5 of index.
Illustratively, preset threshold involved in the embodiment of the present application can set in default in advance for system, Huo Zheke
Think that user is pre-set；It is, of course, also possible to using other set-up modes, in the embodiment of the present application to this and with no restriction.
Illustratively, any preset threshold involved in the embodiment of the present application can according to preset reference index and pre-
What if the factor (real number for being greater than 0) determined.For example, preset threshold A can be equal to preset reference index A1 and setting factor beforehand
The product of A2.
Illustratively, preset reference index and/or setting factor beforehand involved in the embodiment of the present application can be preparatory for system
Default setting, or can be pre-set for user；It is, of course, also possible to using other set-up modes, the embodiment of the present application
In to this and with no restriction.
In this step, index is pushed for arbitrariness course, since the property course push can be previously provided with
At least one corresponding preset threshold of index can then be pushed away according to the personalized course push index and the personalized course
It send index at least one corresponding preset threshold, determines that personalization course pushes effect, in order to push according to personalized course
Effect improves personalized course and pushes mode.
Illustratively, it is assumed that be previously provided with the corresponding preset threshold of arbitrariness course push index, then it can be with
By judging that it is big between index and the corresponding preset threshold of the personalized course push index that the personalized course pushes
Small relationship determines that personalization course pushes effect.For example, if the personalization course push index is greater than the personalized course
The corresponding preset threshold of index is pushed, then can determine that personalized course push works well；If the personalization course push
Index preset threshold corresponding no more than the personalized course push index, then can determine personalized course push effect compared with
Difference.
Illustratively, it is assumed that be previously provided with the corresponding preset threshold 1 of arbitrariness course push index and preset threshold 2
It (such as preset threshold 1 is greater than preset threshold 2), then can be by judging that the personalized course pushes index and the personalized class
Journey pushes the size relation of (such as preset threshold 1 and preset threshold 2) between corresponding two preset thresholds of index, determines personalized
Course pushes effect.For example, if the personalization course push index is corresponding pre- greater than the personalized course push index
If threshold value 1, then it can determine that personalized course push works well；If the personalization course push index is greater than the individual character
Change the corresponding preset threshold 2 of course push index and push the corresponding preset threshold 1 of index no more than the personalized course, then
It can determine that personalized course push effect is general；If the personalization course push index is pushed away no more than the personalized course
It send index corresponding preset threshold 2, then can determine that personalized course push effect is poor.
Certainly, according to the personalized course push index and preset threshold, personalization can be also determined otherwise
Course pushes effect, in the embodiment of the present application to this and with no restriction.
In the embodiment of the present application, by after getting the network on-line study data in preset duration, according to described pre-
If the network on-line study data in duration, determine that personalization course pushes index, wherein the personalization course pushes index
It include: accuracy index and/or diversity index；The accuracy index includes at least one of the following: that a study person-time increment refers to
Mark, study duration increment index, study performance increment index；The diversity index includes at least one of the following: that single phase pushes away
Send the push course classification diversity index in course classification diversity index and/or preset time section；Further, according to institute
Personalized course push index and preset threshold are stated, determines that personalization course pushes effect, in order to push away according to personalized course
It send effect to improve personalized course push mode, is conducive to improve personalized course push effect.
Fig. 2 is the structural schematic diagram for the determining device that the course that one embodiment of the application provides pushes effect.Such as Fig. 2 institute
Show, the determining device 20 of course push effect provided by the embodiments of the present application may include: to obtain module 201, first to determine mould
Block 202 and the second determining module 203.
Wherein, module 201 is obtained, for obtaining the network on-line study data in preset duration；Wherein, the network exists
Line learning data is used to indicate at least one of following: study person-time, study duration, study performance, for study user's push
Course categorical measure, enlivens course categorical measure at the quantity for learning user；
First determining module 202, for determining personalization class according to the network on-line study data in the preset duration
Journey pushes index；Wherein, the personalized course push index includes: accuracy index and/or diversity index；It is described accurate
Property index include at least one of the following: study person-time increment index, study duration increment index, study performance increment index；
The diversity index includes at least one of the following: single phase push course classification diversity index and/or preset time section
Push course classification diversity index；
Second determining module 203, for determining personalization class according to the personalized course push index and preset threshold
Journey pushes effect.
In one possible implementation, if the preset duration includes first time section and the second time interval,
The acquisition module 201 is specifically used for:
Obtain the first network on-line study data of the first time section and second time interval；Wherein, institute
State the second time interval be any course push the phase time interval, the first time section be the course push the phase it
The preceding time interval with the second time interval equal length；The first network on-line study data are used to indicate following
At least one of: study person-time, study duration, study performance；
Accordingly, first determining module 202 is specifically used for: according to the first time section and second time
The first network on-line study data in section, determine accuracy index.
In one possible implementation, if the first network on-line study data are used to indicate study person-time, institute
The first determining module 202 is stated to be specifically used for:
According to the study person-time of all courses, all courses in second time interval in the first time section
The study person-time of push course in study person-time and second time interval, determines study person-time increment index.
In one possible implementation, if the first network on-line study data are used to indicate study duration, institute
The first determining module 202 is stated to be specifically used for:
According to all courses in the study duration of all courses in the first time section, second time interval
The study duration for learning push course in duration and second time interval determines study duration increment index.
In one possible implementation, if the first network on-line study data are used to indicate study performance,
First determining module 202 is specifically used for:
According to all courses in the study performance of all courses in the first time section, second time interval
Study performance and second time interval in push course study performance, determine study performance increment refer to
Mark.
In one possible implementation, if the preset duration includes: multiple second in preset time section
Between section and third time interval, the acquisition module 201 is specifically used for:
Obtain the second network on-line study data of multiple second time intervals and the third network of third time interval
On-line study data；Wherein, the second network on-line study data of any second time interval include: second time
It is the course categorical measure of study user's push in section, the quantity of the study user；The third network on-line study number
According to including enlivening course categorical measure；The third time interval is greater than second time interval；
Accordingly, first determining module 202 is specifically used for: according to the second of the multiple second time interval
The third network on-line study data of network on-line study data and the third time interval, determine diversity index.
In one possible implementation, first determining module 202 is specifically used for:
It is the course class of study user's push according in second time interval for any second time interval
Other quantity, the quantity of the study user and the third time interval enliven course categorical measure, determine described second
Single phase of time interval pushes course classification diversity index；
Course classification diversity is pushed according to single phase of multiple second time intervals in the preset time section
The quantity of second time interval in index and the preset time section, determines the push in the preset time section
Course classification diversity index.
The determining device of course push effect provided by the embodiments of the present application, can be used for executing the above-mentioned course of the application and pushes away
The technical solution of the determination embodiment of the method for effect is sent, it is similar that the realization principle and technical effect are similar, and details are not described herein again.
Fig. 3 is the structural schematic diagram that the course that provides of one embodiment of the application pushes effect locking equipment really.Such as Fig. 3 institute
Show, locking equipment 30 may include: memory 301 and processor 302 to course push effect provided by the embodiments of the present application really；
Wherein, the memory 301, for storing program instruction；
The processor 302, for calling and executing the program instruction stored in the memory 301, when the processing
When device 302 executes the program instruction that the memory 301 stores, locking equipment 30 is used to execute sheet the course push effect really
Apply for the technical solution of the determination embodiment of the method for above-mentioned course push effect, it is similar that the realization principle and technical effect are similar, herein
It repeats no more.
The embodiment of the present application also provides a kind of computer readable storage medium, stores in the computer readable storage medium
There is instruction, when described instruction is run on computers, so that computer executes the determination of the above-mentioned course push effect of the application
The technical solution of embodiment of the method, it is similar that the realization principle and technical effect are similar, and details are not described herein again.
One with ordinary skill in the art would appreciate that in the various embodiments of the application, the serial number of above-mentioned each process
Size is not meant that the order of the execution order, and the execution sequence of each process should be determined by its function and internal logic, without answering
Any restriction is constituted to the implementation process of the embodiment of the present application.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above-mentioned each method embodiment can lead to
The relevant hardware of program instruction is crossed to complete.Program above-mentioned can be stored in a computer readable storage medium.The journey
When being executed, execution includes the steps that above-mentioned each method embodiment to sequence；And storage medium above-mentioned include: ROM, RAM, magnetic disk or
The various media that can store program code such as person's CD.
Finally, it should be noted that the above various embodiments is only to illustrate the technical solution of the application, rather than its limitations；To the greatest extent
Pipe is described in detail the application referring to foregoing embodiments, those skilled in the art should understand that: its according to
So be possible to modify the technical solutions described in the foregoing embodiments, or to some or all of the technical features into
Row equivalent replacement；And these are modified or replaceed, each embodiment technology of the application that it does not separate the essence of the corresponding technical solution
The range of scheme.
Claims (12)
1. a kind of determination method of course push effect characterized by comprising
Obtain the network on-line study data in preset duration；Wherein, the network on-line study data be used to indicate with down toward
One item missing: study person-time, study duration, study performance, the course categorical measure to learn user's push, the number for learning user
It measures, enliven course categorical measure；
According to the network on-line study data in the preset duration, determine that personalization course pushes index；Wherein, the individual character
Changing course push index includes: accuracy index and/or diversity index；The accuracy index includes at least one of the following:
Learn person-time increment index, study duration increment index, study performance increment index；The diversity index include with down toward
One item missing: single phase push course classification diversity index and/or the push course classification diversity index in preset time section；
According to the personalized course push index and preset threshold, determine that personalization course pushes effect.
2. the method according to claim 1, wherein if the preset duration includes first time section and second
Time interval, the network on-line study data obtained in preset duration, comprising:
Obtain the first network on-line study data of the first time section and second time interval；Wherein, described
Two time intervals are the time interval that any course pushes the phase, and the first time section is before the course push phase
With the time interval of the second time interval equal length；The first network on-line study data be used to indicate it is following at least
One: study person-time, study duration, study performance；
Accordingly, the network on-line study data according in the preset duration determine that personalization course pushes index, packet
It includes:
According to the first network on-line study data in the first time section and second time interval, determine that accuracy refers to
Mark.
3. according to the method described in claim 2, it is characterized in that, if the first network on-line study data are used to indicate
Habit person-time, the first network on-line study data according to the first time section and second time interval determine
Accuracy index, comprising:
According to the study person-time of all courses in the first time section, in second time interval all courses study
Person-time and second time interval in push course study person-time, determine study person-time increment index.
4. according to the method described in claim 2, it is characterized in that, if the first network on-line study data are used to indicate
Duration is practised, the first network on-line study data according to the first time section and second time interval determine
Accuracy index, comprising:
According to the study of all courses in the study duration of all courses in the first time section, second time interval
The study duration of push course in duration and second time interval, determines study duration increment index.
5. according to the method described in claim 2, it is characterized in that, if the first network on-line study data are used to indicate
Habit performance, the first network on-line study data according to the first time section and second time interval, really
Determine accuracy index, comprising:
According to all courses in the study performance of all courses in the first time section, second time interval
The study performance for practising push course in performance and second time interval determines study performance increment index.
6. the method according to claim 1, wherein if the preset duration includes: in preset time section
Multiple second time intervals and third time interval, the network on-line study data obtained in preset duration, including
The third network of the second network on-line study data and third time interval that obtain multiple second time intervals is online
Learning data；Wherein, the second network on-line study data of any second time interval include: second time interval
The interior course categorical measure for study user's push, the quantity for learning user；The third network on-line study data packet
It includes and enlivens course categorical measure；The third time interval is greater than second time interval；
Accordingly, the network on-line study data according in the preset duration determine that personalization course pushes index, packet
It includes:
According to the second network on-line study data of the multiple second time interval and the third time interval
Third network on-line study data, determine diversity index.
7. according to the method described in claim 6, it is characterized in that, described according to the of the multiple second time interval
The third network on-line study data of two network on-line study data and the third time interval, determine diversity index,
Include:
It is the course classification number of study user's push according in second time interval for any second time interval
Amount, the quantity of the study user and the third time interval enliven course categorical measure, determine second time
Single phase in section pushes course classification diversity index；
Course classification diversity index is pushed according to single phase of multiple second time intervals in the preset time section
And the quantity of second time interval in the preset time section, determine the push course in the preset time section
Classification diversity index.
8. a kind of determining device of course push effect characterized by comprising
Module is obtained, for obtaining the network on-line study data in preset duration；Wherein, the network on-line study data are used
It is at least one of following in instruction: study person-time, study duration, study performance, for study user's push course categorical measure,
Learn the quantity of user, enliven course categorical measure；
First determining module, for determining personalization course push according to the network on-line study data in the preset duration
Index；Wherein, the personalized course push index includes: accuracy index and/or diversity index；The accuracy index
Include at least one of the following: study person-time increment index, study duration increment index, study performance increment index；It is described more
Sample index includes at least one of the following: the push class in single phase push course classification diversity index and/or preset time section
Journey classification diversity index；
Second determining module, for determining personalization course push according to the personalized course push index and preset threshold
Effect.
9. device according to claim 8, which is characterized in that if the preset duration includes first time section and second
Time interval, the acquisition module are specifically used for:
Obtain the first network on-line study data of the first time section and second time interval；Wherein, described
Two time intervals are the time interval that any course pushes the phase, and the first time section is before the course push phase
With the time interval of the second time interval equal length；The first network on-line study data be used to indicate it is following at least
One: study person-time, study duration, study performance；
Accordingly, first determining module is specifically used for: according to the first time section and second time interval
First network on-line study data, determine accuracy index.
10. device according to claim 8, which is characterized in that if the preset duration includes: in preset time section
Multiple second time intervals and third time interval, the acquisition module are specifically used for:
The third network of the second network on-line study data and third time interval that obtain multiple second time intervals is online
Learning data；Wherein, the second network on-line study data of any second time interval include: second time interval
The interior course categorical measure for study user's push, the quantity for learning user；The third network on-line study data packet
It includes and enlivens course categorical measure；The third time interval is greater than second time interval；
Accordingly, first determining module is specifically used for: being existed according to the second network of the multiple second time interval
The third network on-line study data of line learning data and the third time interval, determine diversity index.
11. a kind of course pushes effect locking equipment really characterized by comprising memory and processor；
Wherein, the memory, for storing program instruction；
The processor, for calling and executing the program instruction stored in the memory, described in processor execution
When the program instruction of memory storage, locking equipment is any in such as claim 1-7 for executing really for the course push effect
Method described in.
12. a kind of computer readable storage medium, which is characterized in that instruction is stored in the computer readable storage medium,
When described instruction is run on computers, so that computer executes such as method of any of claims 1-7.
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| CN201811560321.1A CN109712042A (en) | 2018-12-20 | 2018-12-20 | Determination method, apparatus, equipment and the storage medium of course push effect |
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| CN201811560321.1A CN109712042A (en) | 2018-12-20 | 2018-12-20 | Determination method, apparatus, equipment and the storage medium of course push effect |
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| US20170178265A1 (en) * | 2015-12-17 | 2017-06-22 | Korea University Research And Business Foundation | Method and server for providing online collaborative learning using social network service |
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