CN110134827A - A kind of determination method, apparatus, electronic equipment and storage medium for recommending video - Google Patents
A kind of determination method, apparatus, electronic equipment and storage medium for recommending video Download PDFInfo
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- CN110134827A CN110134827A CN201910245756.5A CN201910245756A CN110134827A CN 110134827 A CN110134827 A CN 110134827A CN 201910245756 A CN201910245756 A CN 201910245756A CN 110134827 A CN110134827 A CN 110134827A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F16/73—Querying
- G06F16/735—Filtering based on additional data, e.g. user or group profiles
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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Abstract
Present disclose provides a kind of determination method, apparatus, electronic equipment and storage mediums for recommending video, which comprises obtains the history quantity that each user on community platform shows video；According to the history quantity, each user is assigned to different racing tracks according to the threshold value of setting；Determine the video display competition results of the different user in the same racing track；The candidate video in each racing track is determined according to the video display competition results；The candidate video in each racing track is determined as video to be recommended, that is, in the embodiment of the present disclosure, according to the quantity for showing video in community, different racing tracks is assigned the user to, and candidate video is determined from each racing track, and the candidate video is recommended into user's viewing, and it is benefited so as to take into account community, producer's interests and reader's income, improve the recommended efficiency of the high video of quality in community and the satisfaction of user.
Description
Technical field
This disclosure relates to network technique field more particularly to it is a kind of recommend the determination method, apparatus of video, electronic equipment and
Non-transitorycomputer readable storage medium.
Background technique
It in the related technology, is one often faced in all kinds of commending contents platforms to the assignment of traffic of all kinds of business datums
A problem, all kinds of business datums in content to be recommended may be attributed to multiple and different interests sides, need to protect during displaying
It demonstrate,proves the flow that each business datum is distributed to keep in balance as far as possible, to guarantee that the basic interests of each business are equalized.
Current recommendation mechanisms, usually using a certain proposed algorithm, based on the understanding and use for treating recommendation
The feature at family carries out the recommendation of corresponding contents for user.And using short-sighted frequency as in the community of main contents, due to video content
Understand that the understanding for comparing picture and text wants difficult, the understanding of video content is not enough to a certain extent, so as to cause with short-sighted frequency
Based on community in flow dispensing heads effect it is serious, that is to say, that before be recommended content it is more, obtained compared with multithread
The user of amount, content are easier to be recommended, and then are easier to obtain the distribution of flow.And other are with high-quality short-sighted frequency
User may not be recommended because of the restriction of recommendation mechanisms or some threshold, and assignment of traffic is less, so as to cause
Its subsequent high-quality short-sighted frequency is more difficult to be recommended.
Based on this, in the prior art, generallys use restriction user and obtain the upper limit of flow to realize the equal of short video flow
Weighing apparatus distribution.This mode, although can solve the short-sighted unbalanced problem of frequency assignment of traffic, due to defining that user obtains
The upper limit of flow causes some high-quality short-sighted frequencies that cannot be recommended, and reduces the recommendation efficiency and the experience of user of short-sighted frequency.
Summary of the invention
To overcome the problems in correlation technique, the disclosure provides a kind of determination method, apparatus of recommendation video, electronics
Equipment and non-transitorycomputer readable storage medium, to solve to obtain the upper of flow due to limiting user in now pass technology
The technical issues of limit, the efficiency for causing some high-quality videos recommended reduces.
According to the first aspect of the embodiments of the present disclosure, a kind of determination method for recommending video is provided, which comprises
Obtain the history quantity that each user on community platform shows video；
According to the history quantity, each user is assigned to different racing tracks according to the threshold value of setting；
Determine the video display competition results of the different user in the same racing track；
The candidate video in each racing track is determined according to the video display competition results；
The candidate video in each racing track is determined as video to be recommended.
Optionally, the video display competition results of the different user in the same racing track of the determination, comprising:
Determine different parameters relevant to the video；
The video display competition of the different user in the same racing track is calculated according to different parameters relevant to the video
As a result.
Optionally, the view that the different user in the same racing track is calculated according to different parameters relevant to the video
Frequency shows competition results, comprising:
It one of different parameters relevant to the video or a variety of will be multiplied；
The result of multiplication is determined as to the video display competition results of the different user in the same racing track.
Optionally, the different parameters relevant to the video include at least following one kind:
The last discounting rate coefficient of the video, the clicking rate discounting coefficient that the video is clicked, the video quilt
The effective broadcasting rate discounting coefficient effectively played, the long-term broadcasting rate discounting coefficient that the video is played for a long time, the video
Rate discounting coefficient is liked by like thumbing up, what the concern rate discounting coefficient and the video that the video is concerned were forwarded
Forward rate discounting coefficient.
Optionally, the candidate video determined according to the video display competition results in each racing track, comprising:
Judge whether the video display competition results in each racing track are greater than predetermined candidate thresholds；
The all videos that will be greater than the video display competition results of predetermined candidate thresholds are retained as the candidate of corresponding racing track
Video.
According to the second aspect of an embodiment of the present disclosure, a kind of determining device for recommending video is provided, described device includes:
Module is obtained, is configured as obtaining the history quantity that each user on community platform shows video；
Distribution module, is configured as according to the history quantity, and each user is assigned to difference according to the threshold value of setting
Racing track；
First determining module is configured to determine that the video display competition results of the different user in the same racing track；
Second determining module is configured as determining the candidate view in each racing track according to the video display competition results
Frequently；
Third determining module is configured as the candidate video in each racing track being determined as video to be recommended.
Optionally, first determining module includes:
Parameter determination module is configured to determine that different parameters relevant to the video；
Computing module is configured as calculating in the same racing track according to the different parameters that the parameter determination module determines
The video display competition results of different user.
Optionally, the computing module includes:
Multiplier module is configured as one of different parameters relevant to the video or a variety of is multiplied；
As a result determining module is configured as the difference being determined as the result that the multiplier module is multiplied in the same racing track
The video display competition results of user.
Optionally, the different parameters that the parameter determination module determines include at least following one kind:
The last discounting rate coefficient of the video, the clicking rate discounting coefficient that the video is clicked, the video quilt
The effective broadcasting rate discounting coefficient effectively played, the long-term broadcasting rate discounting coefficient that the video is played for a long time, the video
Rate discounting coefficient is liked by like thumbing up, what the concern rate discounting coefficient and the video that the video is concerned were forwarded
Forward rate discounting coefficient.
Optionally, second determining module includes:
Judgment module is configured as in each racing track, and it is predetermined to judge whether the video display competition results are greater than
Candidate thresholds；
Candidate video determining module is configured to will be greater than all videos of the video display competition results of predetermined candidate thresholds
It is retained as the candidate video of corresponding racing track.
According to the third aspect of an embodiment of the present disclosure, a kind of electronic equipment is provided, comprising:
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to the step of recommending the determination method of video as described above.
According to a fourth aspect of embodiments of the present disclosure, a kind of non-transitorycomputer readable storage medium is provided, when described
When instruction in storage medium is executed by the processor of electronic equipment, so that electronic equipment is able to carry out recommendation view as described above
The step of determination method of frequency.
According to a fifth aspect of the embodiments of the present disclosure, a kind of computer program product is provided, when the computer program produces
When instruction in product is executed by the processor of electronic equipment, so that electronic equipment executes the determination side of any of the above-described kind of recommendation video
Method.
The technical scheme provided by this disclosed embodiment can include the following benefits:
In the embodiment of the present disclosure, after each user shows the history quantity of video on obtaining community platform, according to described
Each user is assigned to different racing tracks according to the threshold value of setting by history quantity；And it is determining in the same racing track not
After the video display competition results of user, the candidate video in each racing track is determined according to the video display competition results,
The candidate video in each racing track is determined as video to be recommended.That is, in the embodiment of the present disclosure, according in community
The quantity for showing video, assign the user to different racing tracks, and determines from each racing track candidate video (such as fine work
Short-sighted frequency), and the candidate video is recommended into user's viewing, it is benefited so as to take into account community, producer's interests (generate
High-quality video content can be recommended to user's viewing) and reader's income (video content for seeing high-quality), improve society
The recommended efficiency of the high video of quality and the satisfaction of user in area.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and be used to explain the principle of the present invention together with specification.
Fig. 1 is a kind of flow chart of determination method for recommending video shown according to an exemplary embodiment.
Fig. 2 is a kind of structural schematic diagram of determining device for recommending video shown according to an exemplary embodiment.
Fig. 3 is the structural schematic diagram of the first determining module shown according to an exemplary embodiment.
Fig. 4 is the structural schematic diagram of computing module shown according to an exemplary embodiment.
Fig. 5 is the structural schematic diagram of the second determining module shown according to an exemplary embodiment.
Fig. 6 is the structural schematic diagram of a kind of electronic equipment shown according to an exemplary embodiment.
Fig. 7 is another structural schematic diagram of a kind of electronic equipment shown according to an exemplary embodiment.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary embodiment
Described in embodiment do not represent all implementations consistent with this disclosure.On the contrary, they be only with it is such as appended
The example of the consistent device and method of some aspects be described in detail in claims, the disclosure.
Fig. 1 is a kind of flow chart of determination method for recommending video shown according to an exemplary embodiment, such as Fig. 1 institute
Show, the determination method of video recommended to be applied to terminal, comprising the following steps:
Step 101: obtaining the history quantity that each user in community shows video；
In the step, each user is the user registered on community platform in advance, which can be businessman, i.e. content
The producer or content provider etc..Its mode obtained can be in real time, be also possible to periodically obtain, for example, one week, half
Month, it one month etc., can also be adaptively adjusted according to actual needs.
That is, server obtains the history number that each user shows video (such as short-sighted frequency) on community platform
Amount, the history quantity can be the history quantity for showing a video, is also possible to show the quantity of multiple videos.
Step 102: according to the history quantity, each user being assigned to different racing tracks according to the threshold value of setting；
In the step, the threshold value that sets is empirically preset.
That is, server, which can will possess different number, shows that the user (i.e. contents producer item) of (show) draws
It is divided into different groups, for example, the item that show quantity is 100-200 is divided into one group, the item of 300-1000 is divided into one
Group etc., the numerical value in the embodiment is only citing, in practical applications, however it is not limited to this.
In the embodiment, user can be distributed by following formula and all carry out flow point towards the target of Income Maximum
Match, specific as follows to state formula:
Benefit=C+P+R (1)
Wherein, Benefit is expressed as gain, and C is expressed as community's income, and P is expressed as producer's income, and R is expressed as reader
Income, is based on the formula, and the recommendation video of any determination is all executed towards the target of Income Maximum.
That is, the present embodiment recommends the video to be recommended shown in each racing track, benefits of different parties maximum is required
Change, it is specific as shown in formula (1).
On the basis of formula (1), it is assumed that each producer is (usually having producer's ecological model to realize) of equal value,
Based on this, above-mentioned formula (1) can simplify for
Benefit=C+R (2)
Wherein, R=Ranking score
Modeling for community income C, the present embodiment are that each item (contents producer) divides racing track, will have been obtained
The history quantity of displaying show video regard its age as, as the foundation for entering racing track.It should be noted that in the embodiment,
Community income C is without considering personalized income.
Later, each video in each racing track is vied each other (i.e. pk), fights for flow shares (i.e. between racing track and racing track
The item for possessing different number show is divided into different groups, for example, show quantity be 100-200 item be one group,
The item of 300-1000 is one group, and numerical value herein is only citing, is not limited to this in practical applications.It is divided into one group of item
Pk is carried out, the number of videos of show is more, and assignment of traffic needed for showing the video is stringenter).
Step 103: determining the video display competition results of the different user in the same racing track；
In the step, firstly, determining different parameters relevant to the video；Then, according to relevant to the video
Different parameters calculate the video display competition results of the different user in the same racing track.That is, in the embodiment, true
One of fixed different parameters or a variety of multiplied results for being multiplied, obtaining are exactly contest discounting rate, then, by contest
Discounting rate is determined as the video display competition results of the different user in the same racing track.
Wherein it is determined that different parameters relevant to video include at least following one kind:
The last discounting rate coefficient of the video, the clicking rate discounting coefficient that the video is clicked, the video quilt
The effective broadcasting rate discounting coefficient effectively played, the long-term broadcasting rate discounting coefficient that the video is played for a long time, the video
Rate discounting coefficient is liked by like thumbing up, what the concern rate discounting coefficient and the video that the video is concerned were forwarded
Forward rate discounting coefficient.
That is, first determining that each user shows that the last time of all videos beats in the same racing track in the embodiment
Rate coefficient, the clicking rate discounting coefficient being clicked in all videos are rolled over, the effective broadcasting rate discounting coefficient effectively played is grown
Phase play long-term broadcasting rate discounting coefficient, that likes thumbing up likes rate discounting coefficient, the concern rate discounting coefficient being concerned and
The forward rate discounting coefficient converted it is one or more；Later, by the determining last discounting rate coefficient, the click
Rate discounting coefficient, effective broadcasting rate discounting coefficient, the long-term broadcasting discounting coefficient are described to like rate discounting coefficient, institute
It states concern rate discounting coefficient to be multiplied with the one or more of forward rate discounting coefficient, obtains contest discounting rate.Its is competing
The calculation formula for matching discounting rate is as follows:
Contest discounting rate race_discount (i)=
The discounting of last discounting rate coefficient (last_discount) * clicking rate is that rate coefficient (ctr_discount) * has
Effect plays rate coefficient (effective_view_discount) * and plays discounting rate coefficient (long_view_discount) * for a long time
Like beating for discounting rate coefficient (ftr_discount) the * forward rate of discounting rate coefficient (ltr_discount) * concern rate of rate
It rolls over rate coefficient (wtr_discount).
Wherein, in the embodiment, different parameters relevant to video are determined in the following manner, are specifically included:
Described last time discounting rate coefficient=contest discounting rate (i-1) * contest discounting rate (i-2), in the formula, (i-1)
Indicate the currently associated parameter of (i-1)-th user of calculating；(i-2) the currently associated parameter of the i-th -2 users of calculating is indicated.Upper one
Secondary discounting rate coefficient indicates the number of user in racing track.Wherein, i-1 and i-2 exist, then different parameters relevant to the video
Calculation formula is as follows:
Xtr_discount (i.e. ctr in above-mentioned formula, ltr, the calculating of wtr, ftr)=base_discount+ (show_
Up-show* (1-base_discount)/(show_up-show_threshold) its specifically:
The clicking rate discounting rate coefficient=click basis discounting rate coefficient+packet video shows the clicking rate upper limit+user
The number * (1- clicks basic discounting rate coefficient) of current presentation video/(packet video shows that the clicking rate upper limit-clicking rate is shown
Threshold preset value)；
It is described to like the basic discounting rate coefficient of rate discounting coefficient=like+packet video displaying and like the rate upper limit+user and work as
The preceding number * (1- likes basic discounting rate coefficient) for showing video/(the rate upper limit is liked in packet video displaying-like rate displaying door
Sill preset value)；
The concern rate discounting coefficient=concern basis discounting rate coefficient+packet video shows that the concern rate upper limit+user works as
The preceding number * (1- pays close attention to basic discounting rate coefficient) for showing video/(packet video shows the concern rate upper limit-concern rate displaying door
Sill preset value)；
The forward rate discounting coefficient=forwarding base discounting rate coefficient+packet video shows that the forward rate upper limit+user works as
The preceding number * (1- forwarding base discounting rate coefficient) for showing video/(packet video shows the forward rate upper limit-forward rate displaying door
Sill preset value).
And the clicking rate shows threshold preset value, likes rate displaying threshold preset value, concern rate displaying threshold preset value
Show that threshold preset value passes through following formula respectively and calculates with forward rate:
Show_threshold=alpha*show_up+ (1-alpha) * show_down
Wherein, base_discount uses any one single index, and: xtr/xtr_norm is indicated, in section
Standardized value, there are many calculation methods, such as based on quantile scheduling algorithm.Xtr_norm is the quartile point value of current track,
It can calculate acquisition by counting joint reco log offline.Its specific calculating process has been known technology, herein
It repeats no more.
Specifically include following formula:
The clicking rate shows that threshold preset value=alpha* grouping shows the video click rate upper limit+(1-alpha) * grouping
Show video click rate lower limit；
It is described to like rate and show that the grouping of threshold preset value=alpha* shows that video likes the rate upper limit+(1-alpha) * grouping
Show that video likes rate lower limit；
The concern rate shows that threshold preset value=alpha* grouping shows the video concern rate upper limit+(1-alpha) * grouping
Show video concern rate lower limit；
The conversion ratio shows that threshold preset value=alpha* grouping shows the video forward rate upper limit+(1-alpha) * grouping
Show video forward rate lower limit；
Wherein, alpha is constant.
Step 104: the candidate video in each racing track is determined according to the video display competition results；
In the step, first judge whether the video display competition results in each racing track are greater than predetermined candidate threshold
Value；And all videos that will be greater than the video display competition results of predetermined candidate thresholds are retained as the candidate view of corresponding racing track
Frequently；Otherwise, the video is abandoned.
Wherein, predetermined candidate thresholds can be set to 0.8 or 0.9 etc., is one and is greater than zero and the value less than 1, candidate
Video can be the short-sighted frequency etc. of high-quality.
Step 105: the candidate video in each racing track is determined as video to be recommended.
In the step, server is using the candidate video determined in each racing track as the recommendation video in the racing track.
In the embodiment of the present disclosure, after each user shows the history quantity of video on obtaining community platform, according to described
Each user is assigned to different racing tracks according to the threshold value of setting by history quantity；And it is determining in the same racing track not
After the video display competition results of user, the candidate video in each racing track is determined according to the video display competition results,
The candidate video in each racing track is determined as video to be recommended.That is, proposing that one kind pushes away in the embodiment of the present disclosure
The determination method for recommending video assigns the user to different racing tracks according to the quantity for showing video in community, and from each racing track
In determine the candidate video of fine work, and using candidate video as the video to be recommended shown next time, in order to recommend use
Family viewing is benefited so as to take into account community, and producer's interests and reader's income improve the high video of quality in community and pushed away
The satisfaction of the efficiency and user recommended.
Fig. 2 is a kind of structural schematic diagram of determining device for recommending video shown according to an exemplary embodiment.Reference
Fig. 2, the device include: to obtain module 201, distribution module 202 and the first determining module 203, the second determining module 204 and third
Determining module 205, wherein
The acquisition module 201 is configured as obtaining the history quantity that each user on community platform shows video；
The distribution module 202 is configured as being assigned to each user according to the threshold value of setting according to the history quantity
Different racing tracks；
First determining module 203 is configured to determine that the video display competition knot of the different user in the same racing track
Fruit；
Second determining module 204 is configured as determining the time in each racing track according to the video display competition results
Select video；
The third determining module 205 is configured as the candidate video in each racing track being determined as video to be recommended.
Optionally, in another embodiment, the embodiment on the basis of the above embodiments, first determining module
203 include: parameter determination module 301 and computing module 302, and structural representation is as shown in Figure 3 in schemed, wherein
Parameter determination module 301 is configured to determine that different parameters relevant to the video；
Computing module 302 is configured as calculating the same racing track according to the different parameters that the parameter determination module determines
The video display competition results of interior different user.
Wherein, the different parameters that the parameter determination module 302 determines include at least following one kind:
The last discounting rate coefficient of the video, the clicking rate discounting coefficient that the video is clicked, the video quilt
The effective broadcasting rate discounting coefficient effectively played, the long-term broadcasting rate discounting coefficient that the video is played for a long time, the video
Rate discounting coefficient is liked by like thumbing up, what the concern rate discounting coefficient and the video that the video is concerned were forwarded
Forward rate discounting coefficient.
Optionally, in another embodiment, on the basis of the above embodiments, the computing module 302 wraps the embodiment
Include: multiplier module 401 and result determining module 402, structural schematic diagram is as shown in Figure 4, wherein
Multiplier module 401 is configured as one of different parameters relevant to the video or a variety of is multiplied；
As a result determining module 402 are configured as the result that the multiplier module 401 is multiplied being determined as in the same racing track
Different user video display competition results.
Optionally, in another embodiment, the embodiment on the basis of the above embodiments, second determining module
204 include: judgment module 501 and candidate video determining module 502, and structural schematic diagram is as shown in Figure 5, wherein
Judgment module 501 is configured as in each racing track, and it is pre- to judge whether the video display competition results are greater than
Determine candidate thresholds；
Candidate video determining module 502 is configured as will be greater than the complete of the video display competition results of predetermined candidate thresholds
Portion's video is retained as the candidate video of corresponding racing track.
About the device in above-described embodiment, wherein modules execute the concrete mode of operation in related this method
Embodiment in be described in detail, no detailed explanation will be given here.
A kind of determination method for recommending video is proposed in the embodiment of the present disclosure, it, will according to the quantity for showing video in community
User is assigned to different racing tracks, and determines from each racing track candidate video (such as short-sighted frequency of fine work), and should
Candidate video recommends user's viewing, is benefited so as to take into account community, (the high-quality video content generated can for producer's interests
To be recommended to user's viewing) and reader's income (video content for seeing high-quality), improve the high video of quality in community
The satisfaction of recommended efficiency and user.
Fig. 6 is the structural schematic diagram of a kind of electronic equipment 600 shown according to an exemplary embodiment.Electronic equipment can be with
For mobile terminal or server, it is illustrated so that electronic equipment is mobile terminal as an example in the embodiment of the present disclosure.For example,
Electronic equipment 600 can be mobile phone, computer, digital broadcasting terminal, messaging device, game console, and plate is set
It is standby, Medical Devices, body-building equipment, personal digital assistant etc..
Referring to Fig. 6, electronic equipment 600 may include following one or more components: processing component 602, memory 604,
Electric power assembly 606, multimedia component 608, audio component 610, the interface 612 of input/output (I/O), sensor module 614,
And communication component 616.
The integrated operation of the usual controlling electronic devices 600 of processing component 602, such as with display, call, data are logical
Letter, camera operation and record operate associated operation.Processing component 602 may include one or more processors 620 to hold
Row instruction, to perform all or part of the steps of the methods described above.In addition, processing component 602 may include one or more moulds
Block, convenient for the interaction between processing component 602 and other assemblies.For example, processing component 602 may include multi-media module, with
Facilitate the interaction between multimedia component 308 and processing component 602.
Memory 604 is configured as storing various types of data to support the operation in equipment 600.These data are shown
Example includes the instruction of any application or method for operating on electronic equipment 600, contact data, telephone directory number
According to, message, picture, video etc..Memory 604 can by any kind of volatibility or non-volatile memory device or they
Combination realize, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM) is erasable
Programmable read only memory (EPROM), programmable read only memory (PROM), read-only memory (ROM), magnetic memory, quick flashing
Memory, disk or CD.
Power supply module 606 provides electric power for the various assemblies of electronic equipment 600.Power supply module 606 may include power supply pipe
Reason system, one or more power supplys and other with for electronic equipment 600 generate, manage, and distribute the associated component of electric power.
Multimedia component 608 includes the screen of one output interface of offer between the electronic equipment 600 and user.
In some embodiments, screen may include liquid crystal display (LCD) and touch panel (TP).If screen includes touch surface
Plate, screen may be implemented as touch screen, to receive input signal from the user.Touch panel includes one or more touches
Sensor is to sense the gesture on touch, slide, and touch panel.The touch sensor can not only sense touch or sliding
The boundary of movement, but also detect duration and pressure associated with the touch or slide operation.In some embodiments,
Multimedia component 608 includes a front camera and/or rear camera.When electronic equipment 600 is in operation mode, as clapped
When taking the photograph mode or video mode, front camera and/or rear camera can receive external multi-medium data.It is each preposition
Camera and rear camera can be a fixed optical lens system or have focusing and optical zoom capabilities.
Audio component 610 is configured as output and/or input audio signal.For example, audio component 610 includes a Mike
Wind (MIC), when electronic equipment 600 is in operation mode, when such as call mode, recording mode, and voice recognition mode, microphone
It is configured as receiving external audio signal.The received audio signal can be further stored in memory 604 or via logical
Believe that component 616 is sent.In some embodiments, audio component 610 further includes a loudspeaker, is used for output audio signal.
I/O interface 612 provides interface between processing component 602 and peripheral interface module, and above-mentioned peripheral interface module can
To be keyboard, click wheel, button etc..These buttons may include, but are not limited to: home button, volume button, start button and lock
Determine button.
Sensor module 614 includes one or more sensors, for providing the state of various aspects for electronic equipment 600
Assessment.For example, sensor module 614 can detecte the state that opens/closes of equipment 600, the relative positioning of component, such as institute
The display and keypad that component is electronic equipment 600 are stated, sensor module 614 can also detect electronic equipment 600 or electronics
The position change of 600 1 components of equipment, the existence or non-existence that user contacts with electronic equipment 600,600 orientation of electronic equipment
Or the temperature change of acceleration/deceleration and electronic equipment 600.Sensor module 614 may include proximity sensor, be configured to
It detects the presence of nearby objects without any physical contact.Sensor module 614 can also include optical sensor, such as
CMOS or ccd image sensor, for being used in imaging applications.In some embodiments, which can be with
Including acceleration transducer, gyro sensor, Magnetic Sensor, pressure sensor or temperature sensor.
Communication component 616 is configured to facilitate the communication of wired or wireless way between electronic equipment 600 and other equipment.
Electronic equipment 600 can access the wireless network based on communication standard, such as WiFi, carrier network (such as 2G, 3G, 4G or 5G),
Or their combination.In one exemplary embodiment, communication component 616 receives via broadcast channel and comes from external broadcasting management
The broadcast singal or broadcast related information of system.In one exemplary embodiment, the communication component 616 further includes that near field is logical
(NFC) module is believed, to promote short range communication.For example, radio frequency identification (RFID) technology, infrared data association can be based in NFC module
Meeting (IrDA) technology, ultra wide band (UWB) technology, bluetooth (BT) technology and other technologies are realized.
In the exemplary embodiment, electronic equipment 600 can be by one or more application specific integrated circuit (ASIC), number
Word signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD), field programmable gate array
(FPGA), controller, microcontroller, microprocessor or other electronic components are realized, for executing flow shown in above-mentioned Fig. 1
Distribution method.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instruction, example are additionally provided
It such as include the memory 604 of instruction, above-metioned instruction can be executed by the processor 620 of electronic equipment 600 to complete institute in above-mentioned Fig. 1
The flow allocation method shown.For example, the non-transitorycomputer readable storage medium can be ROM, random access memory
(RAM), CD-ROM, tape, floppy disk and optical data storage devices etc..
In the exemplary embodiment, a kind of computer program product is additionally provided, when the instruction in computer program product
When being executed by the processor 620 of electronic equipment 600, so that electronic equipment 600 executes recommendation video shown in above-mentioned Fig. 1 really
Determine method.
Fig. 7 is a kind of structural representation of electronic equipment 700 for assignment of traffic shown according to an exemplary embodiment
Figure.For example, electronic equipment 700 may be provided as a server.Referring to Fig. 7, electronic equipment 700 includes processing component 722,
It further comprise one or more processors, and the memory resource as representated by memory 732, it can be by handling for storing
The instruction of the execution of component 722, such as application program.The application program stored in memory 732 may include one or one
Each above corresponds to the module of one group of instruction.In addition, processing component 722 is configured as executing instruction, it is above-mentioned to execute
Method flow allocation method.
Electronic equipment 700 can also include that a power supply module 726 is configured as executing the power supply pipe of electronic equipment 700
Reason, a wired or wireless network interface 750 are configured as electronic equipment 700 being connected to network and an input and output (I/
O) interface 758.Electronic equipment 700 can be operated based on the operating system for being stored in memory 732, such as Windows
ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM or similar.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or
Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the disclosure
Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.
Claims (10)
1. a kind of determination method for recommending video characterized by comprising
Obtain the history quantity that each user on community platform shows video；
According to the history quantity, each user is assigned to different racing tracks according to the threshold value of setting；
Determine the video display competition results of the different user in the same racing track；
The candidate video in each racing track is determined according to the video display competition results；
The candidate video in each racing track is determined as video to be recommended.
2. the determination method according to claim 1 for recommending video, which is characterized in that in the same racing track of determination
The video display competition results of different user, comprising:
Determine different parameters relevant to the video；
The video display competition results of the different user in the same racing track are calculated according to different parameters relevant to the video.
3. the determination method according to claim 2 for recommending video, which is characterized in that described according to related to the video
Different parameters calculate the video display competition results of the different user in the same racing track, comprising:
It one of different parameters relevant to the video or a variety of will be multiplied；
The result of multiplication is determined as to the video display competition results of the different user in the same racing track.
4. the determination method according to any one of claims 1 to 3 for recommending video, which is characterized in that described according to
Video display competition results determine the candidate video in each racing track, comprising:
Judge whether the video display competition results in each racing track are greater than predetermined candidate thresholds；
The all videos that will be greater than the video display competition results of predetermined candidate thresholds are retained as the candidate video of corresponding racing track.
5. a kind of determining device for recommending video characterized by comprising
Module is obtained, is configured as obtaining the history quantity that each user on community platform shows video；
Distribution module, is configured as according to the history quantity, and each user is assigned to different matches according to the threshold value of setting
Road；
First determining module is configured to determine that the video display competition results of the different user in the same racing track；
Second determining module is configured as determining the candidate video in each racing track according to the video display competition results；
Third determining module is configured as the candidate video in each racing track being determined as video to be recommended.
6. the determining device according to claim 5 for recommending video, which is characterized in that first determining module includes:
Parameter determination module is configured to determine that different parameters relevant to the video；
Computing module is configured as calculating the difference in the same racing track according to the different parameters that the parameter determination module determines
The video display competition results of user.
7. the determining device according to claim 6 for recommending video, which is characterized in that the computing module includes:
Multiplier module is configured as one of different parameters relevant to the video or a variety of is multiplied；
As a result determining module is configured as the different user being determined as the result that the multiplier module is multiplied in the same racing track
Video display competition results.
8. according to the described in any item determining devices for recommending video of claim 5 to 7, which is characterized in that described second determines
Module includes:
Judgment module is configured as in each racing track, judges whether the video display competition results are greater than predetermined candidate
Threshold value；
Candidate video determining module, all videos for being configured will be greater than the video display competition results of predetermined candidate thresholds retain
Candidate video as corresponding racing track.
9. a kind of electronic equipment characterized by comprising
Processor；
Memory for storage processor executable instruction；
Wherein, the processor is configured to the step of the determination method such as the described in any item recommendation videos of Claims 1-4
Suddenly.
10. a kind of non-transitorycomputer readable storage medium, which is characterized in that when the instruction in the storage medium is by electronics
When the processor of equipment executes, so that electronic equipment is able to carry out recommendation video described in any one of Claims 1-4 really
The step of determining method.
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