CN106941623B - A kind of method and device based on big data evaluation video classes quality - Google Patents
A kind of method and device based on big data evaluation video classes quality Download PDFInfo
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- CN106941623B CN106941623B CN201710289086.8A CN201710289086A CN106941623B CN 106941623 B CN106941623 B CN 106941623B CN 201710289086 A CN201710289086 A CN 201710289086A CN 106941623 B CN106941623 B CN 106941623B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44204—Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/414—Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance
- H04N21/41407—Specialised client platforms, e.g. receiver in car or embedded in a mobile appliance embedded in a portable device, e.g. video client on a mobile phone, PDA, laptop
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The invention discloses a kind of method and devices based on big data evaluation video classes quality, this method comprises: counting the accumulative broadcasting total duration of a certain video classes in preset time period, and total person-time of accumulative broadcasting of a certain video classes is counted in the preset time period, judge whether accumulative total person-time of the broadcasting is more than or equal to preset times threshold value, when judging that total person-time of the accumulative broadcasting is more than or equal to preset times threshold value, according to the accumulative broadcasting total duration and accumulative total person-time of the broadcasting, calculate the average playing duration that per person plays a certain video classes, wherein, the average playing duration is equal to the accumulative total duration that plays and adds up to play total person-time divided by this, the quality of a certain video classes is evaluated according to the playing duration that is averaged.The accuracy of the video classes quality evaluated can be improved based on the quality of big data objective appraisal video classes by implementing the embodiment of the present invention.
Description
Technical field
The present invention relates to Internet technical fields, specifically relate to it is a kind of based on big data evaluation video classes quality method and
Device.
Background technique
With the fast development of Internet technology, the video study class application installed in terminal device can provide for user
Video classes learn for user's program request, it may be assumed that in master's recorded video course and after being uploaded to corresponding server, user can
Program request study is carried out to learn class application by the video installed in terminal device.In practical applications, it is imitated to improve study
Fruit, user is in order video course, in addition to consider oneself learning demand, it is also necessary to the quality for considering video classes, it can
See, the quality for evaluating video classes is particularly important.Currently, mainly by the user of order video course to video classes
The mode of subjective marking is carried out to evaluate the quality of video classes, the subjective marking of user can not really reflect video classes
Quality, reduce the accuracy of the quality of the video classes evaluated.
Summary of the invention
The embodiment of the invention discloses a kind of method and devices based on big data evaluation video classes quality, can be based on
The quality of big data objective appraisal video classes improves the accuracy of the video classes quality evaluated.
First aspect of the embodiment of the present invention discloses a kind of method based on big data evaluation video classes quality, the side
Method includes:
The accumulative broadcasting total duration of a certain video classes in preset time period, and statistics are counted in the preset time period
Total person-time of accumulative broadcasting of the interior a certain video classes, the accumulative broadcasting total duration are equal in accumulative total person-time of the broadcasting
The summation of all person-times of playing durations for a certain video classes；
Judge it is described it is accumulative play whether total person-time be more than or equal to preset times threshold value, when judge it is described it is accumulative play it is total
Person-time be more than or equal to the preset times threshold value when, according to accumulative the broadcastings total duration and it is described it is accumulative broadcasting total person-time,
The average playing duration that per person plays a certain video classes is calculated, the average playing duration is equal to the accumulative broadcasting
Total duration is divided by accumulative total person-time of the broadcasting；
The quality of a certain video classes is evaluated according to the average playing duration.
As an alternative embodiment, judging the accumulative broadcasting in first aspect of the embodiment of the present invention
Total person-time is more than or equal to after the preset times threshold value, described according to the accumulative broadcasting total duration and the accumulative broadcasting
Total person-time, before calculating the average playing duration that per person plays a certain video classes, the method also includes:
It determines in the accumulative broadcasting people for playing a certain video classes generation as described in registration user's program request in total person-time
Secondary shared ratio value in accumulative total person-time of the broadcasting；
Judge whether the ratio value is more than or equal to preset ratio threshold value, when judging that it is described that the ratio value is more than or equal to
When preset ratio threshold value, triggering execute it is described according to accumulative the broadcastings total duration and it is described it is accumulative play total person-time, calculating
Per person plays the operation of the average playing duration of a certain video classes.
As an alternative embodiment, in first aspect of the embodiment of the present invention, the method also includes:
Judge whether the quality of a certain video classes meets preset quality requirement；
When the quality of a certain video classes meets the preset quality requirement, accumulative total person-time of the broadcasting is determined
In be less than or equal to multiple broadcastings of the average playing duration in all person-times of playing durations for a certain video classes
Duration, and determine that corresponding broadcasting user is the target playing duration for registering user from the multiple playing duration；
Know to the push of the terminal device of corresponding broadcasting user of the target playing duration with a certain video classes
Know that point matches and quality meets other video classes of the preset quality requirement.
As an alternative embodiment, in first aspect of the embodiment of the present invention, the method also includes:
When the quality for judging a certain video classes does not meet the preset quality requirement, from pre-stored view
Delete a certain video classes in frequency course library, and to the corresponding terminal device of uploader for uploading a certain video classes
It sends video and deletes instruction.
As an alternative embodiment, in first aspect of the embodiment of the present invention, the method also includes:
It pushes to the terminal device of corresponding broadcasting user of the target playing duration about a certain video classes
Questionnaire；
The terminal device for collecting the corresponding broadcasting user of target playing duration is directed to the tune that the questionnaire returns
Come to an end fruit.
Second aspect of the embodiment of the present invention discloses a kind of device based on big data evaluation video classes quality, the dress
It sets including statistic unit, judging unit, computing unit and evaluation unit, in which:
The statistic unit, for counting the accumulative broadcasting total duration of a certain video classes in preset time period, Yi Jitong
Total person-time of accumulative broadcasting for counting a certain video classes in the preset time period, the accumulative broadcasting total duration are equal to institute
State the accumulative summation for playing all person-times of playing durations for a certain video classes in total person-time；
The judging unit, for judging whether accumulative total person-time of the broadcasting is more than or equal to preset times threshold value；
The computing unit, for when the judging unit judge it is described it is accumulative play total person-time be more than or equal to it is described pre-
If when frequency threshold value, according to the accumulative broadcasting total duration and accumulative total person-time of the broadcasting, calculating described in per person's broadcasting
The average playing duration of a certain video classes, the average playing duration are equal to the accumulative broadcasting total duration divided by described accumulative
Play total person-time；
The evaluation unit, for evaluating the quality of a certain video classes according to the average playing duration.
As an alternative embodiment, described device further includes first true in second aspect of the embodiment of the present invention
Order member, in which:
First determination unit, for judging that described total person-time of accumulative broadcasting is more than or equal to institute in the judging unit
It is later and total according to the accumulative broadcasting total duration and the accumulative broadcasting in the computing unit to state preset times threshold value
Person-time, before calculating the average playing duration that per person plays a certain video classes, determine in the accumulative total people of broadcasting
What a certain video classes as described in registration user's program request generated in secondary play person-time it is described it is accumulative play it is shared in total person-time
Ratio value；
The judging unit, is also used to judge whether the ratio value is more than or equal to preset ratio threshold value；
The computing unit, specifically for judging that described total person-time of accumulative broadcasting is more than or equal to institute when the judging unit
When stating preset times threshold value and the ratio value more than or equal to the preset ratio threshold value, according to the accumulative broadcasting total duration
And accumulative total person-time of the broadcasting, calculate the average playing duration that per person plays a certain video classes.
As an alternative embodiment, in second aspect of the embodiment of the present invention, the judging unit is also used to sentence
Whether the quality of a certain video classes of breaking meets preset quality requirement；
Described device further includes the second determination unit and push unit, in which:
Second determination unit, for judging that the quality of a certain video classes meets institute when the judging unit
When stating preset quality requirement, determine it is described it is accumulative play total person-time in all person-times be directed to a certain video classes broadcasting when
It is less than or equal to multiple playing durations of the average playing duration in length, and determines from the multiple playing duration corresponding
Point broadcasting user is the target playing duration for registering user；
The push unit, for the terminal device of corresponding broadcasting user of the target playing duration push with it is described
The knowledge point of a certain video classes matches and quality meets other video classes of the preset quality requirement.
As an alternative embodiment, described device further includes deleting list in second aspect of the embodiment of the present invention
Member, in which:
The deletion unit, for judging that it is described that the quality of a certain video classes is not met when the judging unit
When preset quality requires, a certain video classes are deleted from pre-stored video classes library；
The push unit is also used to send view to the corresponding terminal device of uploader for uploading a certain video classes
Frequency deletes instruction.
As an alternative embodiment, in second aspect of the embodiment of the present invention, the push unit, be also used to
The terminal device of corresponding broadcasting user of the target playing duration pushes the questionnaire about a certain video classes；
Described device further includes collector unit, in which:
The collector unit, for collecting the terminal device of the corresponding broadcasting user of target playing duration for described
The investigation result that questionnaire returns.
Compared with prior art, the embodiment of the present invention has the advantages that
In the embodiment of the present invention, the accumulative broadcasting total duration of a certain video classes in preset time period, and statistics are counted
Total person-time of the accumulative broadcasting of a certain video classes in the preset time period judges whether accumulative total person-time of the broadcasting is greater than
In preset times threshold value, when judging that total person-time of the accumulative broadcasting is more than or equal to preset times threshold value, according to the accumulative broadcasting
Total duration and accumulative total person-time of the broadcasting, calculate the average playing duration that per person plays a certain video classes, wherein should
Average playing duration adds up to play total person-time divided by this equal to the accumulative total duration that plays, and being evaluated according to the playing duration that is averaged should
The quality of a certain video classes.As it can be seen that implementing the embodiment of the present invention can receive to a certain video classes are directed in certain time period
A large amount of single playing duration statistics of collection are accumulative to play total duration, and according to accumulative broadcasting total duration and in the certain time period
Total person-time of the accumulative broadcasting counted calculates the average playing duration that disposable plays a certain video classes, to evaluate video
The quality of course, can be watched or the viscosity of program request and relatively objective judgement than more objective reaction video classes in this way
The quality of video classes, the mode in this way based on big data evaluation video classes quality improve the video classes quality evaluated
Accuracy.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to needed in the embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of process signal of method based on big data evaluation video classes quality disclosed by the embodiments of the present invention
Figure；
Fig. 2 is that the process of another method based on big data evaluation video classes quality disclosed by the embodiments of the present invention is shown
It is intended to；
Fig. 3 is a kind of structural representation of device based on big data evaluation video classes quality disclosed by the embodiments of the present invention
Figure；
Fig. 4 is that the structure of another device based on big data evaluation video classes quality disclosed by the embodiments of the present invention is shown
It is intended to；
Fig. 5 is that the structure of another device based on big data evaluation video classes quality disclosed by the embodiments of the present invention is shown
It is intended to；
Fig. 6 is a kind of structural schematic diagram of server disclosed by the embodiments of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that the described embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on this
Embodiment in invention, every other reality obtained by those of ordinary skill in the art without making creative efforts
Example is applied, shall fall within the protection scope of the present invention.
It should be noted that the term " includes " of the embodiment of the present invention and " having " and their any deformation, it is intended that
Be to cover it is non-exclusive include, for example, containing the process, method, system, product or equipment of a series of steps or units not
Those of be necessarily limited to be clearly listed step or unit, but may include be not clearly listed or for these processes, side
The intrinsic other step or units of method, product or equipment.
The embodiment of the invention discloses a kind of method and devices based on big data evaluation video classes quality, can be to certain
It counts accumulative for a large amount of single playing durations that a certain video classes are collected in one period and plays total duration, and broadcast according to accumulative
It puts total duration and count in the certain time period total person-time of accumulative broadcasting calculates disposable and play a certain video
The average playing duration of course can be watched with evaluating the quality of video classes than more objective reaction video classes in this way
Or the viscosity and the relatively objective quality for determining video classes of program request, in this way based on big data evaluation video classes quality
Mode improves the accuracy of the video classes quality evaluated.It is described in detail separately below.
Embodiment one
Referring to Fig. 1, Fig. 1 is a kind of method based on big data evaluation video classes quality disclosed by the embodiments of the present invention
Flow diagram.As shown in Figure 1, should be can be applied in server based on the method for big data evaluation video classes quality,
Such as the learning server of user's order video course, the embodiment of the present invention is without limitation.As shown in Figure 1, should be based on big number
Method according to evaluation video classes quality may include following operation:
101, in server statistics preset time period a certain video classes accumulative broadcasting total duration, and statistics it is pre- at this
If total person-time of accumulative broadcasting of a certain video classes in the period.
In the embodiment of the present invention, this is accumulative play total duration be equal to this it is accumulative play in total person-time all person-times for this certain
The summation of the playing duration of one video classes, wherein the preset time period can be one day, three days or five days etc., and the present invention is real
Apply example without limitation.
In the embodiment of the present invention, whenever detecting a certain video classes by program request, server is required to record this certain
One this time of video classes is by the playing duration of program request.Preferably, when a certain this time of video classes of server record is by program request
The duration ratio of the playing duration total duration that accounts for a certain video classes when being less than or equal to preset duration ratio, server can be with
Give up a certain this time of video classes by the record of program request and by the playing duration of program request.
It should be noted that the user of the program request a certain video classes may include registration user and nonregistered user, and
Same broadcasting user can in the preset time period multiple program request a certain video classes, and the every program request a certain video class
Cheng Yici, when program request, the playing duration of a certain video classes meets above-mentioned requirements, total person-time of the accumulative broadcasting counted is just
Increase primary.
102, server judges whether above-mentioned accumulative total person-time of broadcasting is more than or equal to preset times threshold value, when step 102
Judging result is when being, triggering executes step 103, when the judging result of step 102 is no, can continue triggering and execute step
101, until counting total person-time of accumulative broadcasting of the above-mentioned a certain video classes in above-mentioned preset time period more than or equal to above-mentioned
Preset times threshold value.
In the embodiment of the present invention, server judges whether above-mentioned accumulative total person-time of broadcasting is more than or equal to preset times threshold value and is
In order to guarantee the quantity of big data sample.
103, server calculates per person and plays according to above-mentioned accumulative broadcasting total duration and above-mentioned accumulative total person-time of broadcasting
The average playing duration of above-mentioned a certain video classes.
In the embodiment of the present invention, the average playing duration that per person plays above-mentioned a certain video classes adds up to broadcast equal to above-mentioned
Total duration is put divided by above-mentioned accumulative total person-time of broadcasting.
In the embodiment of the present invention, it is assumed that above-mentioned preset time period is n days, and the daily accumulative broadcasting that server statistics go out
Total duration is respectively T1, T2 ..., Tn, then server statistics go out in above-mentioned preset time period a certain video classes it is accumulative
Total duration T=T1+T2+ ...+Tn, daily total person-time of accumulative broadcasting that server statistics go out respectively X1, X2 ..., Xn are played,
Then total person-time of X=X1+X2+ ...+Xn of the accumulative broadcasting of a certain video classes in above-mentioned preset time period that server statistics go out,
And the calculated per person of server plays the average playing duration T of above-mentioned a certain video classesIt is flat=T/X.
104, server evaluates the quality of above-mentioned a certain video classes according to above-mentioned average playing duration.
In the embodiment of the present invention, server can according to the quality that above-mentioned average playing duration evaluates above-mentioned a certain video classes
To include:
Server is accounted for according to above-mentioned average playing duration in the duration ratio evaluation of the total duration of above-mentioned a certain video classes
The quality of a certain video classes is stated, duration ratio is higher, and the quality for the above-mentioned a certain video classes evaluated is also higher.
It can be to certain time period as it can be seen that implementing the described method based on big data evaluation video classes quality of Fig. 1
The interior a large amount of single playing duration statistics collected for a certain video classes are accumulative to play total duration, and according to accumulative broadcasting total duration
And total person-time of the accumulative broadcasting counted in the certain time period calculates disposable and plays the flat of a certain video classes
Equal playing duration in this way can be watched or program request with evaluating the quality of video classes than more objective reaction video classes
The quality of viscosity and relatively objective judgement video classes, the mode in this way based on big data evaluation video classes quality improve
The accuracy of the video classes quality evaluated.
Embodiment two
Fig. 2 is that the process of another method based on big data evaluation video classes quality disclosed by the embodiments of the present invention is shown
It is intended to.Wherein, the described method based on big data evaluation video classes quality of Fig. 2 can be applied in server, such as supply
The learning server etc. of user's order video course, the embodiment of the present invention is without limitation.As shown in Fig. 2, should be commented based on big data
The method of valence video classes quality may include following operation:
201, in server statistics preset time period a certain video classes accumulative broadcasting total duration, and statistics it is pre- at this
If total person-time of accumulative broadcasting of a certain video classes in the period.
In the embodiment of the present invention, this is accumulative play total duration be equal to this it is accumulative play in total person-time all person-times for this certain
The summation of the playing duration of one video classes.
202, server judges whether above-mentioned accumulative total person-time of broadcasting is more than or equal to preset times threshold value, when step 202
Judging result is when being, triggering executes step 203, when the judging result of step 202 is no, can continue triggering and execute step
201, until the above-mentioned a certain video classes counted add up to play in above-mentioned preset time period total person-time more than or equal to above-mentioned
Preset times threshold value.
203, server, which is determined, is produced in above-mentioned accumulative play in total person-time by the above-mentioned a certain video classes of registration user's program request
Raw plays a person-time ratio value shared in above-mentioned accumulative total person-time of broadcasting.
204, server judges whether aforementioned proportion value is more than or equal to preset ratio threshold value, when the judging result of step 204
When to be, triggering executes step 205, when the judging result of step 204 is no, can terminate this process.
205, server calculates per person and plays according to above-mentioned accumulative broadcasting total duration and above-mentioned accumulative total person-time of broadcasting
The average playing duration of above-mentioned a certain video classes.
In the embodiment of the present invention, the average playing duration that per person plays above-mentioned a certain video classes adds up to broadcast equal to above-mentioned
Total duration is put divided by above-mentioned accumulative total person-time of broadcasting.
206, server evaluates the quality of above-mentioned a certain video classes according to above-mentioned average playing duration.
In the embodiment of the present invention, guarantee the broadcasting person-time generated by the above-mentioned a certain video classes of registration user's program request above-mentioned
Shared ratio value is more than or equal to the reliability that preset ratio threshold value can be improved big data sample in accumulative total person-time of broadcasting, this
Sample can effectively avoid the act of unfair competition for being deliberately directed to above-mentioned a certain video classes brush playing duration, and then can protect
Demonstrate,prove the pouplarity that the average playing duration determined more objectively reflects above-mentioned a certain video classes.
It in an alternative embodiment, can also should include following based on the method for big data evaluation video classes quality
Operation:
Server judges whether the quality of above-mentioned a certain video classes meets preset quality requirement；
When the quality for judging above-mentioned a certain video classes meets preset quality requirement, server determines above-mentioned accumulative broadcast
All person-times are put in total person-time for being less than or equal to above-mentioned average playing duration in the playing duration of above-mentioned a certain video classes
Multiple playing durations, and determine that from multiple playing duration, corresponding broadcasting user is when registering the target of user to play
It is long；
Server pushes and above-mentioned a certain video class to the terminal device of corresponding broadcasting user of above-mentioned target playing duration
The knowledge point of journey matches and quality meets other video classes of above-mentioned preset quality requirement.
The optional embodiment can meet default matter in the quality for evaluating above-mentioned a certain video classes based on big data
Amount is when requiring, the registration user that playing duration is shorter in all users of a certain video classes to program request recommend with it is above-mentioned a certain
The knowledge point of video classes matches and quality meets other video classes of above-mentioned preset quality requirement, can be improved note in this way
The program request experience of volume user, can be further reduced the loss of a broadcasting user.
It is further alternative in the optional embodiment, the method for video classes quality should be evaluated also based on big data
May include following operation:
When the quality for judging above-mentioned a certain video classes does not meet above-mentioned preset quality requirement, server is deposited from advance
Above-mentioned a certain video classes are deleted in the video classes library of storage, and catch the uploader corresponding end for stating a certain video classes upwards
End equipment sends video and deletes instruction.The practical perception pair of a certain video classes can be directed to based on the user counted in this way
Video classes library in server timely updates, and is conducive to the optimization to video library.
It, further optionally, should be based on the method for big data evaluation video classes quality in the optional embodiment
Can also include following operation:
Server is pushed to the terminal device of corresponding broadcasting user of above-mentioned target playing duration about above-mentioned a certain video
The questionnaire of course, and the terminal device for collecting above-mentioned corresponding broadcasting user of target playing duration is returned for the questionnaire
Return investigation result, wherein the questionnaire for collect corresponding broadcasting user of above-mentioned target playing duration for it is above-mentioned certain
The opinions or suggestions of one video classes feedback, and the investigation result is used for trigger the server according to the investigation result to above-mentioned a certain
Video classes are adjusted and safeguard.
It can be to needle in certain time period as it can be seen that implementing the described method based on big data evaluation video classes of Fig. 2
The a large amount of single playing durations statistics collected to a certain video classes are accumulative to play total durations, and according to accumulative broadcasting total duration and
Total person-time of the accumulative broadcasting counted in the certain time period, which calculates disposable and plays being averaged for a certain video classes, to be broadcast
Duration is put, to evaluate the quality of video classes, can be watched in this way than more objective reaction video classes or the viscosity of program request
And the quality of relatively objective judgement video classes, the mode in this way based on big data evaluation video classes quality, which improves, to be commented
The accuracy for the video classes quality that valence goes out.
Embodiment three
Referring to Fig. 3, Fig. 3 is a kind of device based on big data evaluation video classes quality disclosed by the embodiments of the present invention
Structural schematic diagram.As shown in figure 3, server should be can be applied to based on the device 300 of big data evaluation video classes quality
In, such as the learning server of user's order video course, the embodiment of the present invention is without limitation.As shown in figure 3, should be based on big
The device 300 of data evaluation video classes quality may include statistic unit 301, judging unit 302, computing unit 303 and
Evaluation unit 304, in which:
Statistic unit 301 is used to count the accumulative broadcasting total duration of a certain video classes in preset time period, and statistics
Total person-time of the accumulative broadcasting of a certain video classes in the preset time period, wherein the accumulative total duration that plays is tired out equal to this
Meter plays the summation of all person-times of playing durations for a certain video classes in total person-time.
Judging unit 302 is used to judge whether above-mentioned accumulative total person-time of the broadcasting that statistic unit 301 counts to be more than or equal to
Preset times threshold value.
Computing unit 303 is used to judge that above-mentioned total person-time of accumulative broadcasting is more than or equal to above-mentioned preset when judging unit 302
When frequency threshold value, the above-mentioned accumulative broadcasting total duration and above-mentioned accumulative total person-time of broadcasting counted according to statistic unit 301, meter
The average playing duration that per person plays above-mentioned a certain video classes is calculated, which is equal to the accumulative total duration that plays and removes
Total person-time is played with accumulative.
Evaluation unit 304 is used to evaluate above-mentioned a certain video class according to the calculated average playing duration of computing unit 303
The quality of journey.
Wherein, evaluation unit 304 evaluates above-mentioned a certain video class according to the calculated average playing duration of computing unit 303
The concrete mode of the quality of journey can be with are as follows:
The duration ratio evaluation for accounting for the total duration of above-mentioned a certain video classes according to above-mentioned average playing duration is above-mentioned a certain
The quality of video classes, duration ratio is higher, and the quality for the above-mentioned a certain video classes evaluated is also higher.
In an alternative embodiment, can also should include based on the device 300 of big data evaluation video classes quality
First determination unit 305, at this point, the structure for being somebody's turn to do the device 300 based on big data evaluation video classes quality can be such as Fig. 4 institute
Show, Fig. 4 is the structural schematic diagram of another device based on big data evaluation video classes quality disclosed by the embodiments of the present invention.
Wherein:
First determination unit 305 be used for judging unit 302 judge it is above-mentioned it is accumulative play total person-time be more than or equal to it is above-mentioned
According to above-mentioned accumulative broadcasting total duration and the above-mentioned accumulative total people of broadcasting after preset times threshold value and in computing unit 303
It is secondary, before calculating the average playing duration that per person plays above-mentioned a certain video classes, determine in above-mentioned accumulative total person-time of broadcasting
In by playing person-time of generating of the above-mentioned a certain video classes of registration user's program request accumulative play a ratio shared in total person-time above-mentioned
Example value.
Judging unit 302 is also used to judge whether the ratio value that the first determination unit 305 is determined is more than or equal to default ratio
Example threshold value.
Computing unit 303 be specifically used for when judging unit 302 judge it is above-mentioned it is accumulative play total person-time be more than or equal to it is above-mentioned
When preset times threshold value and aforementioned proportion value are more than or equal to above-mentioned preset ratio threshold value, according to above-mentioned accumulative broadcasting total duration with
And above-mentioned accumulative total person-time of broadcasting, calculate the average playing duration that per person plays above-mentioned a certain video classes.
In another alternative embodiment, it should can also be wrapped based on the device 300 of big data evaluation video classes quality
The second determination unit 306 and push unit 307 are included, at this point, should be based on the device 300 of big data evaluation video classes quality
Structure can be as shown in figure 5, Fig. 5 be another dress based on big data evaluation video classes quality disclosed by the embodiments of the present invention
The structural schematic diagram set.Wherein:
Judging unit 302 can be also used for judging the quality that evaluation unit 304 evaluates obtained above-mentioned a certain video classes
Whether preset quality requirement is met.
Second determination unit 306 is used for when to judge that the quality of above-mentioned a certain video classes meets default for judging unit 302
When quality requirement, determine it is above-mentioned it is accumulative play it is small in all person-times of playing durations for above-mentioned a certain video classes in total person-time
In multiple playing durations equal to above-mentioned average playing duration, and corresponding broadcasting user is determined from multiple playing duration
For the target playing duration for registering user.
The corresponding program request of the above-mentioned target playing duration that push unit 307 is used to determine to the second determination unit 306 is used
The terminal device at family pushes and the knowledge point of above-mentioned a certain video classes matches and quality meets above-mentioned preset quality requirement
Other video classes.
It is further alternative in an alternative embodiment, as shown in figure 5, video should be evaluated based on big data
The device 300 of curriculum quality can also include deleting unit 308, in which:
Unit 308 is deleted to be used for when to judge that the quality of above-mentioned a certain video classes is not met above-mentioned pre- for judging unit 302
If when quality requirement, above-mentioned a certain video classes are deleted from pre-stored video classes library.
Push unit 307 can be also used for sending video to the corresponding terminal device of the uploader of above-mentioned a certain video classes
Delete instruction, wherein the video, which is deleted, indicates that the quality for being used to indicate above-mentioned a certain video classes does not meet preset quality requirement
And it is deleted.
In the embodiment of the present invention, specifically, when delete unit 308 deleted from pre-stored video classes library it is above-mentioned certain
After one video classes, triggering command can also be sent to push unit 307 by deleting unit 308, be held with triggering push unit 307
The corresponding terminal device of the above-mentioned uploader to above-mentioned a certain video classes of row sends the operation that video deletes instruction.
In an alternative embodiment, further optionally, as shown in figure 5, should be based on big data evaluation view
The device 300 of frequency curriculum quality can also include collector unit 309, in which:
Push unit 307 can be also used for pushing to the terminal device of corresponding broadcasting user of above-mentioned target playing duration and close
In the questionnaire of above-mentioned a certain video classes, wherein the questionnaire is for collecting the corresponding point of above-mentioned target playing duration
Opinions or suggestions of the broadcasting user for above-mentioned a certain video classes feedback.
The terminal device that collector unit 309 is used to collect above-mentioned corresponding broadcasting user of target playing duration is single for push
The investigation result that the questionnaire of 307 push of member returns, to trigger 300, device based on big data evaluation video classes quality
Above-mentioned a certain video classes are adjusted and are safeguarded according to the investigation result.
As it can be seen that the described device 300 based on big data evaluation video classes quality of any one of implementing Fig. 3-Fig. 5 can
Add up to play total duration to a large amount of single playing duration statistics that a certain video classes are collected are directed in certain time period, and according to tired
Meter plays total duration and count in the certain time period total person-time of accumulative broadcasting calculates disposable to play this certain
The average playing duration of video classes in this way can be than more objective reaction video classes quilt to evaluate the quality of video classes
The quality of the viscosity and relatively objective judgement video classes of viewing or program request, evaluates video classes matter based on big data in this way
The mode of amount improves the accuracy of the video classes quality evaluated.
Example IV
Referring to Fig. 6, Fig. 6 is a kind of structural schematic diagram of server disclosed by the embodiments of the present invention.As shown in fig. 6, Fig. 6
Shown in server may include the described device 300 based on big data evaluation video classes quality of any one of Fig. 3-Fig. 5.
As it can be seen that implementing server described in Fig. 6 can put to a large amount of unicasts that a certain video classes are collected are directed in certain time period
Duration statistics is accumulative to play total duration, and what is counted according to accumulative broadcasting total duration and in the certain time period accumulative broadcasts
It puts total person-time and calculates the average playing duration that disposable plays a certain video classes, to evaluate the quality of video classes, this
Sample can be watched than more objective reaction video classes or the matter of the viscosity of program request and relatively objective judgement video classes
Amount, the mode in this way based on big data evaluation video classes quality improve the accuracy of the video classes quality evaluated.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can be stored in a computer readable storage medium, storage
Medium include read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory,
RAM), programmable read only memory (Programmable Read-only Memory, PROM), erasable programmable is read-only deposits
Reservoir (Erasable Programmable Read Only Memory, EPROM), disposable programmable read-only memory (One-
Time Programmable Read-Only Memory, OTPROM), the electronics formula of erasing can make carbon copies read-only memory
(Electrically-Erasable Programmable Read-Only Memory, EEPROM), CD-ROM (Compact
Disc Read-Only Memory, CD-ROM) or other disc memories, magnetic disk storage, magnetic tape storage or can
For carrying or any other computer-readable medium of storing data.
Above to it is disclosed by the embodiments of the present invention it is a kind of based on big data evaluation video classes quality method and device into
It has gone and has been discussed in detail, used herein a specific example illustrates the principle and implementation of the invention, the above implementation
The explanation of example is merely used to help understand method and its core concept of the invention；Meanwhile for the general technology people of this field
Member, according to the thought of the present invention, there will be changes in the specific implementation manner and application range, in conclusion this explanation
Book content should not be construed as limiting the invention.
Claims (8)
1. a kind of method based on big data evaluation video classes quality, which is characterized in that the described method includes:
Count the accumulative broadcasting total duration of a certain video classes in preset time period, and statistics institute in the preset time period
Total person-time of accumulative broadcasting for stating a certain video classes, the accumulative broadcasting total duration, which is equal to accumulative play in total person-time, to be owned
Person-time for a certain video classes playing duration summation；
Judge it is described it is accumulative play total person-time whether be more than or equal to preset times threshold value, when judge it is described it is accumulative play total person-time
When more than or equal to the preset times threshold value, a certain view as described in registration user's program request in accumulative total person-time of the broadcasting is determined
What frequency course generated plays a person-time ratio value shared in accumulative total person-time of the broadcasting；
Judge whether the ratio value is more than or equal to preset ratio threshold value, when judging that it is described default that the ratio value is more than or equal to
When proportion threshold value, triggering is executed according to the accumulative broadcasting total duration and accumulative total person-time of the broadcasting, is calculated per person and is broadcast
The operation of the average playing duration of a certain video classes is put, the average playing duration is equal to the accumulative broadcasting total duration
Divided by accumulative total person-time of the broadcasting；
The quality of a certain video classes is evaluated according to the average playing duration.
2. the method according to claim 1 based on big data evaluation video classes quality, which is characterized in that the method
Further include:
Judge whether the quality of a certain video classes meets preset quality requirement；
When the quality of a certain video classes meets the preset quality requirement, institute in accumulative total person-time of the broadcasting is determined
There are the multiple playing durations for being less than or equal to the average playing duration in person-time playing duration for being directed to a certain video classes,
And determine that corresponding broadcasting user is the target playing duration for registering user from the multiple playing duration；
To the knowledge point of the terminal device of corresponding broadcasting user of target playing duration push and a certain video classes
Match and quality meets other video classes of the preset quality requirement.
3. the method according to claim 2 based on big data evaluation video classes quality, which is characterized in that the method
Further include:
When the quality for judging a certain video classes does not meet the preset quality requirement, from pre-stored video class
The a certain video classes are deleted in Cheng Ku, and are sent to the corresponding terminal device of uploader for uploading a certain video classes
Video deletes instruction.
4. the method according to claim 2 based on big data evaluation video classes quality, which is characterized in that the method
Further include:
The investigation about a certain video classes is pushed to the terminal device of corresponding broadcasting user of the target playing duration
Questionnaire；
The terminal device for collecting the corresponding broadcasting user of target playing duration is directed to the investigation knot that the questionnaire returns
Fruit.
5. a kind of device based on big data evaluation video classes quality, which is characterized in that described device includes statistic unit, sentences
Disconnected unit, computing unit, the first determination unit and evaluation unit, in which:
The statistic unit, for counting the accumulative broadcasting total duration of a certain video classes in preset time period, and statistics exists
Total person-time of the accumulative broadcasting of a certain video classes in the preset time period, the accumulative broadcasting total duration are equal to described tired
Meter plays the summation of all person-times of playing durations for a certain video classes in total person-time；
The judging unit, for judging whether accumulative total person-time of the broadcasting is more than or equal to preset times threshold value；
The computing unit, for judging that described total person-time of accumulative broadcasting is more than or equal to described default time when the judging unit
When number threshold value, according to the accumulative broadcasting total duration and accumulative total person-time of the broadcasting, it is described a certain to calculate per person's broadcasting
The average playing duration of video classes, the average playing duration are equal to the accumulative broadcasting total duration divided by the accumulative broadcasting
Total person-time；
First determination unit, for the judging unit judge it is described it is accumulative play total person-time be more than or equal to it is described pre-
If according to accumulative the broadcastings total duration and accumulative total person-time of the broadcasting after frequency threshold value and in the computing unit,
Before calculating the average playing duration that per person plays a certain video classes, determine it is described it is accumulative play in total person-time by
That registers a certain video classes generation described in user's program request plays a person-time ratio value shared in accumulative total person-time of the broadcasting；
The judging unit, is also used to judge whether the ratio value is more than or equal to preset ratio threshold value；
The computing unit, specifically for when the judging unit judge it is described it is accumulative play total person-time be more than or equal to it is described pre-
If frequency threshold value and the ratio value are more than or equal to the preset ratio threshold value, according to the accumulative broadcasting total duration and
Accumulative total person-time of the broadcasting, calculates the average playing duration that per person plays a certain video classes；
The evaluation unit, for evaluating the quality of a certain video classes according to the average playing duration.
6. the device according to claim 5 based on big data evaluation video classes quality, which is characterized in that the judgement
Unit, is also used to judge whether the quality of a certain video classes meets preset quality requirement；
Described device further includes the second determination unit and push unit, in which:
Second determination unit, for judging that it is described pre- that the quality of a certain video classes meets when the judging unit
If when quality requirement, determining that accumulative play in total person-time is directed in the playing duration of a certain video classes for all person-times
Less than or equal to multiple playing durations of the average playing duration, and corresponding program request is determined from the multiple playing duration
User is the target playing duration for registering user；
The push unit, for the terminal device of corresponding broadcasting user of the target playing duration push with it is described a certain
The knowledge point of video classes matches and quality meets other video classes of the preset quality requirement.
7. the device according to claim 6 based on big data evaluation video classes quality, which is characterized in that described device
It further include deleting unit, in which:
The deletion unit, for judging that it is described default that the quality of a certain video classes is not met when the judging unit
When quality requirement, a certain video classes are deleted from pre-stored video classes library；
The push unit is also used to send video to the corresponding terminal device of uploader for uploading a certain video classes and delete
Except instruction.
8. the device according to claim 6 based on big data evaluation video classes quality, which is characterized in that the push
Unit is also used to push to the terminal device of corresponding broadcasting user of the target playing duration about a certain video classes
Questionnaire；
Described device further includes collector unit, in which:
The collector unit, for collecting the terminal device of the corresponding broadcasting user of target playing duration for the investigation
The investigation result that questionnaire returns.
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| CN108734370A (en) * | 2017-12-27 | 2018-11-02 | 上海储翔信息科技有限公司 | A kind of intelligent curriculum points-scoring system excavated based on machine learning, big data |
| CN111565335B (en) * | 2020-06-01 | 2021-09-03 | 中国联合网络通信集团有限公司 | Video quality evaluation method and device, computer equipment and storage medium |
| CN116307934B (en) * | 2023-05-16 | 2023-09-26 | 北京普为本教育科技有限公司 | Recorded broadcast teaching course quality evaluation method and system based on cloud computing |
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