CN108733684A - The recommendation method and device of multimedia resource - Google Patents
The recommendation method and device of multimedia resource Download PDFInfo
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- CN108733684A CN108733684A CN201710249247.0A CN201710249247A CN108733684A CN 108733684 A CN108733684 A CN 108733684A CN 201710249247 A CN201710249247 A CN 201710249247A CN 108733684 A CN108733684 A CN 108733684A
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Abstract
This disclosure relates to the recommendation method and device of multimedia resource.This method includes：Determine each multimedia resource associated with target user；Determine classification corresponding with the associated each multimedia resource of the target user；According to the quantity for the multimedia resource for belonging to each classification in multimedia resource associated with the target user and the target user to the interest-degree of each multimedia resource in each classification, each classification is ranked up；Each classification after sequence is recommended into the target user.The disclosure can reduce the time spent by the classification for the multimedia resource that user finds desired viewing, and the time spent by the multimedia resource of desired viewing is found so as to reduce user, improves the recommendation efficiency of multimedia resource, improves user experience.
Description
Technical field
This disclosure relates to multimedia technology field more particularly to a kind of recommendation method and device of multimedia resource.
Background technology
In Internet era, especially mobile internet era, how to provide timely and valuable information to the user is
The hot spot of numerous Internet company's researchs.In recent years, with the development of machine learning system, commending system starts to support personalized
Generalization bounds.Personalized Recommendation Strategy needs the actual use situation in conjunction with different user to carry out differentiation processing.
The operation personnel of video website or Video Applications classifies to video in video website or Video Applications, to
User is guided to select interested classification.For example, may include selected, collection of drama, variety and film etc. in the homepage of video website
Classification.By showing the classification of video for user, user can be guided to be directly entered under interested classification.In the related technology,
Quantity for the classification of user's displaying is more, and the sequence for the classification of each user displaying is identical, and user is caused to need to spend
The more time can just find interested classification, and user experience is poor.
Invention content
In view of this, the present disclosure proposes a kind of recommendation method and device of multimedia resource, to solve in the related technology
User needs to spend the more time just the problem of capable of finding the classification of its interested multimedia resource.
According to the one side of the disclosure, a kind of recommendation method of multimedia resource is provided, including：
Determine each multimedia resource associated with target user；
Determine classification corresponding with the associated each multimedia resource of the target user；
According to the quantity for the multimedia resource for belonging to each classification in multimedia resource associated with the target user,
And the target user is ranked up each classification the interest-degree of each multimedia resource in each classification；
Each classification after sequence is recommended into the target user.
In one possible implementation, the method further includes：
According to the time between the target user and each multimedia resource time point interacted and current time
Interval, determines interest-degree of the target user to each multimedia resource, wherein the interest-degree is negative with the time interval
It is related.
In one possible implementation, the time interacted according to the target user and each multimedia resource
Time interval between point and current time, determines interest-degree of the target user to each multimedia resource, including：
Determine the target user u to classification c using formula 1iIn multimedia resource vijInterest-degree g (u, vij)；
Wherein, d expressions attenuation coefficient, 0<d<1,Indicate the target user u and the multimedia resource vijIt is handed over
Time interval between mutual time point and current time.
In one possible implementation, belong to each according in multimedia resource associated with the target user
The quantity of the multimedia resource of classification and the target user to the interest-degree of each multimedia resource in each classification,
Each classification is ranked up, including：
According to the quantity for the multimedia resource for belonging to each classification in multimedia resource associated with the target user,
And the target user calculates each classification and is directed to the target to the interest-degree of each multimedia resource in each classification
The score of user；
It is directed to the sequence of the score of the target user from high to low according to each classification, each classification is ranked up.
In one possible implementation, belong to each according in multimedia resource associated with the target user
The quantity of the multimedia resource of classification and the target user to the interest-degree of each multimedia resource in each classification,
The score that each classification is directed to the target user is calculated, including：
Classification c is determined using formula 2iFor score s (u, the c of the target user ui)；
Wherein, h (u, ci) indicate the first parameter, h (u, ci) and n positive correlations, 0<h(u,ci)<N, n are indicated and the target
Belong to classification c in the associated multimedia resources of user uiMultimedia resource quantity, g (u, vij) indicate the target user
U is to multimedia resource vijInterest-degree, vijIndicate classification ciIn j-th of multimedia resource.
In one possible implementation, first parameter is determined using formula 3；
h(u,ci)=ln n formulas 3.
In one possible implementation, each multimedia resource associated with target user is determined, including：
It is determined as multimedia resource associated with the target user by least one of following：The target user clicks
Multimedia resource, the target user search multimedia resource, the target user viewing multimedia resource, the mesh
Mark user thumb up multimedia resource, the target user comment multimedia resource, the target user deliver the more of barrage
The multimedia resource for the multimedia resource, target user collection that media resource, the target user share and the target
The multimedia resource that user subscribes to.
According to another aspect of the present disclosure, a kind of recommendation apparatus of multimedia resource is provided, including：
First determining module, for determining each multimedia resource associated with target user；
Second determining module, for determining classification corresponding with the associated each multimedia resource of the target user；
Sorting module, for according to the more matchmakers for belonging to each classification in multimedia resource associated with the target user
The quantity of body resource and the target user are to the interest-degree of each multimedia resource in each classification, to each classification
It is ranked up；
Recommending module, for each classification after sequence to be recommended the target user.
In one possible implementation, described device further includes：
Third determining module, time point for being interacted with each multimedia resource according to the target user with work as
Time interval between the preceding time determines interest-degree of the target user to each multimedia resource, wherein the interest-degree
With time interval negative correlation.
In one possible implementation, the third determining module is used for：
Determine the target user u to classification c using formula 1iIn multimedia resource vijInterest-degree g (u, vij)；
Wherein, d expressions attenuation coefficient, 0<d<1,Indicate the target user u and the multimedia resource vijIt is handed over
Time interval between mutual time point and current time.
In one possible implementation, the sorting module includes：
Computational submodule, for belonging to the more of each classification in basis multimedia resource associated with the target user
The quantity of media resource and the target user calculate each the interest-degree of each multimedia resource in each classification
Classification is directed to the score of the target user；
Sorting sub-module, for being directed to the sequence of the score of the target user from high to low according to each classification, to each
A classification is ranked up.
In one possible implementation, the computational submodule is used for：
Classification c is determined using formula 2iFor score s (u, the c of the target user ui)；
Wherein, h (u, ci) indicate the first parameter, h (u, ci) and n positive correlations, 0<h(u,ci)<N, n are indicated and the target
Belong to classification c in the associated multimedia resources of user uiMultimedia resource quantity, g (u, vij) indicate the target user
U is to multimedia resource vijInterest-degree, vijIndicate classification ciIn j-th of multimedia resource.
In one possible implementation, first parameter is determined using formula 3；
h(u,ci)=ln n formulas 3.
In one possible implementation, first determining module is used for：
It is determined as multimedia resource associated with the target user by least one of following：The target user clicks
Multimedia resource, the target user search multimedia resource, the target user viewing multimedia resource, the mesh
Mark user thumb up multimedia resource, the target user comment multimedia resource, the target user deliver the more of barrage
The multimedia resource for the multimedia resource, target user collection that media resource, the target user share and the target
The multimedia resource that user subscribes to.
According to another aspect of the present disclosure, a kind of recommendation apparatus of multimedia resource is provided, including：Processor；For
Store the memory of processor-executable instruction；Wherein, the processor is configured as executing the above method.
According to another aspect of the present disclosure, a kind of non-volatile computer readable storage medium storing program for executing is provided, when the storage
When instruction in medium is executed by the processor of terminal and/or server so that terminal and/or server are able to carry out above-mentioned side
Method.
The recommendation method and device of the multimedia resource of all aspects of this disclosure is according to more matchmakers associated with target user
The quantity and target user for belonging to the multimedia resource of each classification in body resource provide each multimedia in each classification
The interest-degree in source is ranked up each classification, and each classification after sequence is recommended target user, and thus, it is possible to reduce
User finds the time spent by the classification for the multimedia resource for wanting viewing, wants viewing so as to reduce user and find
Time spent by multimedia resource improves the recommendation efficiency of multimedia resource, improves user experience.
According to below with reference to the accompanying drawings to detailed description of illustrative embodiments, the other feature and aspect of the disclosure will become
It is clear.
Description of the drawings
Including in the description and the attached drawing of a part for constitution instruction and specification together illustrate the disclosure
Exemplary embodiment, feature and aspect, and for explaining the principles of this disclosure.
Fig. 1 shows the flow chart of the recommendation method of the multimedia resource according to one embodiment of the disclosure.
Fig. 2 shows the illustrative flow charts according to the recommendation method of the multimedia resource of one embodiment of the disclosure.
Fig. 3 shows the illustrative stream for recommending method and step S13 of the multimedia resource according to one embodiment of the disclosure
Cheng Tu.
Fig. 4 shows the block diagram of the recommendation apparatus of the multimedia resource according to one embodiment of the disclosure.
Fig. 5 shows an illustrative block diagram of the recommendation apparatus of the multimedia resource according to one embodiment of the disclosure.
Fig. 6 is a kind of frame of the device 1900 of recommendation for multimedia resource shown according to an exemplary embodiment
Figure.
Specific implementation mode
Various exemplary embodiments, feature and the aspect of the disclosure are described in detail below with reference to attached drawing.It is identical in attached drawing
Reference numeral indicate functionally the same or similar element.Although the various aspects of embodiment are shown in the accompanying drawings, remove
It non-specifically points out, it is not necessary to attached drawing drawn to scale.
Dedicated word " exemplary " means " being used as example, embodiment or illustrative " herein.Here as " exemplary "
Illustrated any embodiment should not necessarily be construed as preferred or advantageous over other embodiments.
In addition, in order to better illustrate the disclosure, numerous details is given in specific implementation mode below.
It will be appreciated by those skilled in the art that without certain details, the disclosure can equally be implemented.In some instances, for
Method, means, element and circuit well known to those skilled in the art are not described in detail, in order to highlight the purport of the disclosure.
Embodiment 1
Fig. 1 shows the flow chart of the recommendation method of the multimedia resource according to one embodiment of the disclosure.This method can answer
For in server, being not limited thereto.As shown in Figure 1, the method comprising the steps of S11 to step S14.
In step s 11, each multimedia resource associated with target user is determined.
It, can be in the class for receiving the acquisition multimedia resource for coming from target user as an example of the present embodiment
In the case of the request of other list, each multimedia resource associated with target user is determined.
In one possible implementation, it determines each multimedia resource associated with target user, may include：
It is determined as multimedia resource associated with target user by least one of following：Multimedia resource, the mesh of target user's click
Mark user search multimedia resource, target user viewing multimedia resource, target user thumb up multimedia resource, target
The multimedia resource of user comment, target user deliver the multimedia resource of barrage, the multimedia resource that target user shares, mesh
Mark the multimedia resource of the multimedia resource and target user's subscription of user's collection.
In one possible implementation, each multimedia resource associated with target user, Ke Yiwei are determined：Really
Determine each multimedia resource associated with target user in first time period.It, can be with as an example of the realization method
It is determined as in first time period multimedia resource associated with target user by least one of following：Target user is at first
Between the multimedia resource clicked in section, target user searched in first time period multimedia resource, target user is first
Multimedia resource that the multimedia resource watched in period, target user thumb up in first time period, target user are the
The multimedia resource of comment, target user deliver the multimedia resource of barrage, target use in first time period in one period
The multimedia resource and target that multimedia resource that family is shared in first time period, target user collect in first time period
The multimedia resource that user subscribes in first time period.For example, the start time point of first time period can be with current time
Point is separated by the first duration, and the end time point of first time period can be current point in time.Wherein, the first duration can be one
It week or one month etc., is not limited thereto.By determining each more matchmakers associated with target user in first time period
Body resource can be the recommendation that target user carries out multimedia resource according to the short-term interest of target user.
As an example of the present embodiment, target user can be recorded and carried out for multimedia resource on mobile application
Interbehavior, according to target user on mobile application for multimedia resource carry out interbehavior, determine with target use
The associated each multimedia resource in family.Wherein, interbehavior may include at least one of following：Click behavior, search behavior,
Viewing behavior thumbs up behavior, comment behavior, delivers barrage behavior, splitting glass opaque, collection behavior and subscribe to behavior.
In step s 12, classification corresponding with the associated each multimedia resource of target user is determined.
An example as the present embodiment, it may be determined that corresponding with the associated each multimedia resource of target user
The classification of secondary navigation.For example, variety is the classification of a certain level-one navigation, the classification of the secondary navigation under level-one navigation can be with
Including continent variety, Hong Kong and Taiwan's variety, South Korea's variety, U.S.'s variety and network variety etc..For another example collection of drama navigates for another level-one
Classification, the classification of the lower secondary navigation of level-one navigation may include ancient costume collection of drama, swordsman's collection of drama, collection of drama between policemen and bandits, military play
Collection, mythical collection of drama, science fiction aggregation, collection of drama of making laughs, idol collection of drama, suspense collection of drama, history collection of drama, children's collection of drama, rural area collection of drama, all
City's collection of drama, family's collection of drama, describing love affairs collection of drama and fashionable dress collection of drama etc..
As an example of the present embodiment, it can determine that multimedia is provided according to the title and/or label of multimedia resource
The corresponding classification in source.
As another example of the present embodiment, the mode that handmarking may be used determines the corresponding class of multimedia resource
Not.
In step s 13, it is provided according to the multimedia for belonging to each classification in multimedia resource associated with target user
The quantity in source and target user are ranked up each classification the interest-degree of each multimedia resource in each classification.
As an example of the present embodiment, a certain classification is directed to the sequence of target user, is used with target with the category
The quantity positive correlation of the associated multimedia resource in family.For example, in classification A multimedia resource associated with target user number
Amount is more, then classification A is more forward for the sequence of target user.
As an example of the present embodiment, a certain classification is directed to the sequence of target user, with target user to the category
In each multimedia resource interest-degree positive correlation.For example, target user gets over the interest-degree of each multimedia resource in classification B
Height, then classification B is more forward for the sequence of target user.
In step S14, each classification after sequence is recommended into target user.
As an example of the present embodiment, list of categories can be generated according to each classification after sequence, and by classification
Target user is recommended in list.For example, the classification of video can be shown in video website or Video Applications to target user
List.
The present embodiment can reduce the time spent by the classification for the multimedia resource that user finds desired viewing, so as to
Enough reduction user finds the time spent by the multimedia resource for wanting viewing, improves the recommendation efficiency of multimedia resource, improves
User experience.
Fig. 2 shows the illustrative flow charts according to the recommendation method of the multimedia resource of one embodiment of the disclosure.Such as
Shown in Fig. 2, the method comprising the steps of S21 to step S25.
In the step s 21, each multimedia resource associated with target user is determined.
Wherein, the description to step S11 is seen above to step S21.
In step S22, classification corresponding with the associated each multimedia resource of target user is determined.
Wherein, the description to step S12 is seen above to step S22.
In step S23, the time point and current time that are interacted according to target user and each multimedia resource it
Between time interval, determine interest-degree of the target user to each multimedia resource, wherein interest-degree and time interval negative
It closes.
As an example of the present embodiment, target user watch the first multimedia resource time point and current time it
Between time interval it is longer, then the interest-degree of the first multimedia resource of target user couple is smaller；Target user watches matchmaker more than first
Time interval between the time point and current time of body resource is shorter, then the interest-degree of the first multimedia resource of target user couple
It is bigger.Wherein, the first multimedia resource is any one multimedia resource associated with target user.
In step s 24, it is provided according to the multimedia for belonging to each classification in multimedia resource associated with target user
The quantity in source and target user are ranked up each classification the interest-degree of each multimedia resource in each classification.
Wherein, the description to step S13 is seen above to step S24.
In step s 25, each classification after sequence is recommended into target user.
Wherein, the description to step S14 is seen above to step S25.
In one possible implementation, the time point interacted according to target user and each multimedia resource with
Time interval between current time determines that target user to the interest-degree of each multimedia resource, may include：Using formula 1
Determine target user u to classification ciIn multimedia resource vijInterest-degree g (u, vij)；
Wherein, d expressions attenuation coefficient, 0<d<1,Indicate target user u and multimedia resource vijThe time interacted
Time interval between point and current time.
For example, d can be 0.9,It can be as unit of hour.For example, target user for the second multimedia resource into
Capable interbehavior is viewing behavior, and target user watches the time between the time point and current time of the second multimedia resource
Between be divided into 2 hours, then the interest-degree of the second multimedia resource of target user couple is equal to 0.92=0.81.Wherein, the second multimedia
Resource can indicate any one multimedia resource associated with target user.
Fig. 3 shows the illustrative stream for recommending method and step S13 of the multimedia resource according to one embodiment of the disclosure
Cheng Tu.As shown in figure 3, according to the number for the multimedia resource for belonging to each classification in multimedia resource associated with target user
Amount and target user are ranked up each classification, can wrap to the interest-degree of each multimedia resource in each classification
It includes：
In step S31, provided according to the multimedia for belonging to each classification in multimedia resource associated with target user
The quantity in source and target user calculate each classification and are directed to mesh to the interest-degree of each multimedia resource in each classification
Mark the score of user.
In this example, a certain classification is directed to the score of target user, associated with target user more with the category
The quantity positive correlation of media resource, the interest-degree positive correlation with target user to each multimedia resource in the category.
In step s 32, according to each classification for the score sequence from high to low of target user, to each classification into
Row sequence.
In one possible implementation, belong to each classification according in multimedia resource associated with target user
Multimedia resource quantity and target user to the interest-degree of each multimedia resource in each classification, calculate each
Classification is directed to the score of target user, may include：Classification c is determined using formula 2iFor score s (u, the c of target user ui)；
Wherein, h (u, ci) indicate the first parameter, h (u, ci) and n positive correlations, 0<h(u,ci)<N, n are indicated and target user u
Belong to classification c in associated multimedia resourceiMultimedia resource quantity, g (u, vij) indicate target user u to multimedia
Resource vijInterest-degree, vijIndicate classification ciIn j-th of multimedia resource.
In the realization method, by the way that h (u, c is arrangedi) and n positive correlations and 0<h(u,ci)<N can remove exceptional value
It influences, improves and determine classification ciFor score s (u, the c of target user ui) accuracy.
In one possible implementation, formula 3 may be used and determine the first parameter；
h(u,ci)=ln n formulas 3.
For example, belonging to classification c in multimedia resource associated with target user2Multimedia resource quantity be 100,
Then classification c2It is approximately equal to 4.6 for the first parameter of target user.
It should be noted that although the method for determination for describing the first parameter using formula 3 as example is as above, this field skill
Art personnel it is understood that the disclosure answer it is without being limited thereto.In fact, those skilled in the art can be flexible according to practical application scene
The method of determination of the first parameter is set, as long as the first parameter h (u, ci) and n positive correlations, and 0<h(u,ci)<N.
Embodiment 2
Fig. 4 shows the block diagram of the recommendation apparatus of the multimedia resource according to one embodiment of the disclosure.As shown in figure 4, the dress
Set including：First determining module 41, for determining each multimedia resource associated with target user；Second determining module
42, for determining classification corresponding with the associated each multimedia resource of the target user；Sorting module 43 is used for basis
Belong to the quantity of the multimedia resource of each classification and the target in multimedia resource associated with the target user
User is ranked up each classification the interest-degree of each multimedia resource in each classification；Recommending module 44, being used for will
Each classification after sequence recommends the target user.
Fig. 5 shows an illustrative block diagram of the recommendation apparatus of the multimedia resource according to one embodiment of the disclosure.Such as Fig. 5
It is shown：
In one possible implementation, described device further includes：Third determining module 45, for according to the target
Time interval between user and each multimedia resource time point interacted and current time, determines the target user
To the interest-degree of each multimedia resource, wherein the interest-degree is negatively correlated with the time interval.
In one possible implementation, the third determining module 45 is used for：The target user is determined using formula 1
U is to classification ciIn multimedia resource vijInterest-degree g (u, vij)；
Wherein, d expressions attenuation coefficient, 0<d<1,Indicate the target user u and the multimedia resource vijIt is handed over
Time interval between mutual time point and current time.
In one possible implementation, the sorting module 43 includes：Computational submodule 431, for basis and institute
State the quantity for the multimedia resource for belonging to each classification in the associated multimedia resource of target user and the target user
To the interest-degree of each multimedia resource in each classification, the score that each classification is directed to the target user is calculated；Sequence
Submodule 432 carries out each classification for being directed to the sequence of the score of the target user from high to low according to each classification
Sequence.
In one possible implementation, the computational submodule 431 is used for：Classification c is determined using formula 2iFor institute
State score s (u, the c of target user ui)；
Wherein, h (u, ci) indicate the first parameter, h (u, ci) and n positive correlations, 0<h(u,ci)<N, n are indicated and the target
Belong to classification c in the associated multimedia resources of user uiMultimedia resource quantity, g (u, vij) indicate the target user
U is to multimedia resource vijInterest-degree, vijIndicate classification ciIn j-th of multimedia resource.
In one possible implementation, first parameter is determined using formula 3；
h(u,ci)=ln n formulas 3.
In one possible implementation, first determining module 41 is used for：By it is at least one of following be determined as with
The associated multimedia resource of target user：The multimedia resource of target user's click, target user search
Multimedia resource, target user viewing multimedia resource, the target user multimedia resource, the mesh that thumb up
Mark the multimedia resource of user comment, the target user delivers the multimedia resource of barrage, the target user share it is more
The multimedia resource that media resource, the multimedia resource of target user collection and the target user subscribe to.
The present embodiment can reduce the time spent by the classification for the multimedia resource that user finds desired viewing, so as to
Enough reduction user finds the time spent by the multimedia resource for wanting viewing, improves the recommendation efficiency of multimedia resource, improves
User experience.
Embodiment 3
Fig. 6 is a kind of frame of the device 1900 of recommendation for multimedia resource shown according to an exemplary embodiment
Figure.For example, device 1900 may be provided as a server.With reference to Fig. 6, device 1900 includes processing component 1922, into one
Step includes one or more processors and memory resource represented by a memory 1932, and being used to store can be by processing group
The instruction of the execution of part 1922, such as application program.The application program stored in memory 1932 may include one or one
Each above corresponds to the module of one group of instruction.In addition, processing component 1922 is configured as executing instruction, it is above-mentioned to execute
Method.
Device 1900 can also include that a power supply module 1926 be configured as the power management of executive device 1900, one
Wired or wireless network interface 1950 is configured as device 1900 being connected to network and input and output (I/O) interface
1958.Device 1900 can be operated based on the operating system for being stored in memory 1932, such as Windows ServerTM, Mac
OS XTM, UnixTM, LinuxTM, FreeBSDTM or similar.
In the exemplary embodiment, it includes the non-volatile computer readable storage medium storing program for executing instructed, example to additionally provide a kind of
Such as include the memory 1932 of instruction, above-metioned instruction can be executed by the processing component 1922 of device 1900 to complete the above method.
The disclosure can be system, method and/or computer program product.Computer program product may include computer
Readable storage medium storing program for executing, containing for making processor realize the computer-readable program instructions of various aspects of the disclosure.
Computer readable storage medium can be can keep and store the instruction used by instruction execution equipment tangible
Equipment.Computer readable storage medium for example can be-- but be not limited to-- storage device electric, magnetic storage apparatus, optical storage
Equipment, electromagnetism storage device, semiconductor memory apparatus or above-mentioned any appropriate combination.Computer readable storage medium
More specific example (non exhaustive list) includes：Portable computer diskette, random access memory (RAM), read-only is deposited hard disk
It is reservoir (ROM), erasable programmable read only memory (EPROM or flash memory), static RAM (SRAM), portable
Compact disk read-only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanical coding equipment, for example thereon
It is stored with punch card or groove internal projection structure and the above-mentioned any appropriate combination of instruction.Calculating used herein above
Machine readable storage medium storing program for executing is not interpreted that instantaneous signal itself, the electromagnetic wave of such as radio wave or other Free propagations lead to
It crosses the electromagnetic wave (for example, the light pulse for passing through fiber optic cables) of waveguide or the propagation of other transmission mediums or is transmitted by electric wire
Electric signal.
Computer-readable program instructions as described herein can be downloaded to from computer readable storage medium it is each calculate/
Processing equipment, or outer computer or outer is downloaded to by network, such as internet, LAN, wide area network and/or wireless network
Portion's storage device.Network may include copper transmission cable, optical fiber transmission, wireless transmission, router, fire wall, interchanger, gateway
Computer and/or Edge Server.Adapter or network interface in each calculating/processing equipment are received from network to be counted
Calculation machine readable program instructions, and the computer-readable program instructions are forwarded, for the meter being stored in each calculating/processing equipment
In calculation machine readable storage medium storing program for executing.
For execute the disclosure operation computer program instructions can be assembly instruction, instruction set architecture (ISA) instruction,
Machine instruction, machine-dependent instructions, microcode, firmware instructions, condition setup data or with one or more programming languages
Arbitrarily combine the source code or object code write, the programming language include the programming language-of object-oriented such as
Smalltalk, C++ etc., and conventional procedural programming languages-such as " C " language or similar programming language.Computer
Readable program instructions can be executed fully, partly execute on the user computer, is only as one on the user computer
Vertical software package executes, part executes or on the remote computer completely in remote computer on the user computer for part
Or it is executed on server.In situations involving remote computers, remote computer can pass through network-packet of any kind
It includes LAN (LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as profit
It is connected by internet with ISP).In some embodiments, by using computer-readable program instructions
Status information carry out personalized customization electronic circuit, such as programmable logic circuit, field programmable gate array (FPGA) or can
Programmed logic array (PLA) (PLA), the electronic circuit can execute computer-readable program instructions, to realize each side of the disclosure
Face.
Referring herein to according to the flow chart of the method, apparatus (system) of the embodiment of the present disclosure and computer program product and/
Or block diagram describes various aspects of the disclosure.It should be appreciated that flowchart and or block diagram each box and flow chart and/
Or in block diagram each box combination, can be realized by computer-readable program instructions.
These computer-readable program instructions can be supplied to all-purpose computer, special purpose computer or other programmable datas
The processor of processing unit, to produce a kind of machine so that these instructions are passing through computer or other programmable datas
When the processor of processing unit executes, work(specified in one or more of implementation flow chart and/or block diagram box is produced
The device of energy/action.These computer-readable program instructions can also be stored in a computer-readable storage medium, these refer to
It enables so that computer, programmable data processing unit and/or other equipment work in a specific way, to be stored with instruction
Computer-readable medium includes then a manufacture comprising in one or more of implementation flow chart and/or block diagram box
The instruction of the various aspects of defined function action.
Computer-readable program instructions can also be loaded into computer, other programmable data processing units or other
In equipment so that series of operation steps are executed on computer, other programmable data processing units or miscellaneous equipment, with production
Raw computer implemented process, so that executed on computer, other programmable data processing units or miscellaneous equipment
Instruct function action specified in one or more of implementation flow chart and/or block diagram box.
Flow chart and block diagram in attached drawing show the system, method and computer journey of multiple embodiments according to the disclosure
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
One module of table, program segment or a part for instruction, the module, program segment or a part for instruction include one or more use
The executable instruction of the logic function as defined in realization.In some implementations as replacements, the function of being marked in box
It can occur in a different order than that indicated in the drawings.For example, two continuous boxes can essentially be held substantially in parallel
Row, they can also be executed in the opposite order sometimes, this is depended on the functions involved.It is also noted that block diagram and/or
The combination of each box in flow chart and the box in block diagram and or flow chart can use function or dynamic as defined in executing
The dedicated hardware based system made is realized, or can be realized using a combination of dedicated hardware and computer instructions.
The presently disclosed embodiments is described above, above description is exemplary, and non-exclusive, and
It is not limited to disclosed each embodiment.Without departing from the scope and spirit of illustrated each embodiment, for this skill
Many modifications and changes will be apparent from for the those of ordinary skill in art field.The selection of term used herein, purport
In the principle, practical application or technological improvement to the technology in market for best explaining each embodiment, or this technology is made to lead
Other those of ordinary skill in domain can understand each embodiment disclosed herein.
Claims (15)
1. a kind of recommendation method of multimedia resource, which is characterized in that including：
Determine each multimedia resource associated with target user；
Determine classification corresponding with the associated each multimedia resource of the target user；
According to the quantity for the multimedia resource for belonging to each classification in multimedia resource associated with the target user, and
The target user is ranked up each classification the interest-degree of each multimedia resource in each classification；
Each classification after sequence is recommended into the target user.
2. according to the method described in claim 1, it is characterized in that, the method further includes：
According to the time interval between the target user and each multimedia resource time point interacted and current time,
Determine interest-degree of the target user to each multimedia resource, wherein the interest-degree is negatively correlated with the time interval.
3. according to the method described in claim 2, it is characterized in that, being carried out according to the target user and each multimedia resource
Time interval between interactive time point and current time determines interest of the target user to each multimedia resource
Degree, including：
Determine the target user u to classification c using formula 1iIn multimedia resource vijInterest-degree g (u, vij)；
Wherein, d expressions attenuation coefficient, 0<d<1,Indicate the target user u and the multimedia resource vijIt interacts
Time interval between time point and current time.
4. method as claimed in any of claims 1 to 3, which is characterized in that according to related to the target user
Belong in the multimedia resource of connection the multimedia resource of each classification quantity and the target user in each classification
The interest-degree of each multimedia resource is ranked up each classification, including：
According to the quantity for the multimedia resource for belonging to each classification in multimedia resource associated with the target user, and
The target user calculates each classification and is directed to the target user to the interest-degree of each multimedia resource in each classification
Score；
It is directed to the sequence of the score of the target user from high to low according to each classification, each classification is ranked up.
5. according to the method described in claim 4, it is characterized in that, according to multimedia resource associated with the target user
In belong to each classification multimedia resource quantity and the target user to each multimedia resource in each classification
Interest-degree, calculate each classification be directed to the target user score, including：
Classification c is determined using formula 2iFor score s (u, the c of the target user ui)；
Wherein, h (u, ci) indicate the first parameter, h (u, ci) and n positive correlations, 0<h(u,ci)<N, n are indicated and the target user u
Belong to classification c in associated multimedia resourceiMultimedia resource quantity, g (u, vij) indicate the target user u to more
Media resource vijInterest-degree, vijIndicate classification ciIn j-th of multimedia resource.
6. according to the method described in claim 5, it is characterized in that, determining first parameter using formula 3；
h(u,ci)=lnn formulas 3.
7. according to the method described in claim 1, it is characterized in that, determining each multimedia money associated with target user
Source, including：
It is determined as multimedia resource associated with the target user by least one of following：The target user clicks more
Media resource, the multimedia resource of target user search, the multimedia resource of target user viewing, the target are used
Multimedia resource that family thumbs up, the multimedia resource of target user comment, the target user deliver the multimedia of barrage
The multimedia resource for the multimedia resource, target user collection that resource, the target user share and the target user
The multimedia resource of subscription.
8. a kind of recommendation apparatus of multimedia resource, which is characterized in that including：
First determining module, for determining each multimedia resource associated with target user；
Second determining module, for determining classification corresponding with the associated each multimedia resource of the target user；
Sorting module, for according to the multimedia money for belonging to each classification in multimedia resource associated with the target user
The quantity in source and the target user carry out each classification the interest-degree of each multimedia resource in each classification
Sequence；
Recommending module, for each classification after sequence to be recommended the target user.
9. device according to claim 8, which is characterized in that described device further includes：
Third determining module, time point for being interacted according to the target user and each multimedia resource with it is current when
Between between time interval, determine interest-degree of the target user to each multimedia resource, wherein the interest-degree and institute
State time interval negative correlation.
10. device according to claim 9, which is characterized in that the third determining module is used for：
Determine the target user u to classification c using formula 1iIn multimedia resource vijInterest-degree g (u, vij)；
Wherein, d expressions attenuation coefficient, 0<d<1,Indicate the target user u and the multimedia resource vijIt interacts
Time interval between time point and current time.
11. the device according to any one of claim 8 to 10, which is characterized in that the sorting module includes：
Computational submodule, for according to the multimedia for belonging to each classification in multimedia resource associated with the target user
The quantity of resource and the target user calculate each classification to the interest-degree of each multimedia resource in each classification
For the score of the target user；
Sorting sub-module, for being directed to the sequence of the score of the target user from high to low according to each classification, to each class
It is not ranked up.
12. according to the devices described in claim 11, which is characterized in that the computational submodule is used for：
Classification c is determined using formula 2iFor score s (u, the c of the target user ui)；
Wherein, h (u, ci) indicate the first parameter, h (u, ci) and n positive correlations, 0<h(u,ci)<N, n are indicated and the target user u
Belong to classification c in associated multimedia resourceiMultimedia resource quantity, g (u, vij) indicate the target user u to more
Media resource vijInterest-degree, vijIndicate classification ciIn j-th of multimedia resource.
13. device according to claim 12, which is characterized in that determine first parameter using formula 3；
h(u,ci)=lnn formulas 3.
14. device according to claim 8, which is characterized in that first determining module is used for：
It is determined as multimedia resource associated with the target user by least one of following：The target user clicks more
Media resource, the multimedia resource of target user search, the multimedia resource of target user viewing, the target are used
Multimedia resource that family thumbs up, the multimedia resource of target user comment, the target user deliver the multimedia of barrage
The multimedia resource for the multimedia resource, target user collection that resource, the target user share and the target user
The multimedia resource of subscription.
15. a kind of recommendation apparatus of multimedia resource, which is characterized in that including：
Processor；
Memory for storing processor-executable instruction；
Wherein, the processor is configured as：
Determine each multimedia resource associated with target user；
Determine classification corresponding with the associated each multimedia resource of the target user；
According to the quantity for the multimedia resource for belonging to each classification in multimedia resource associated with the target user, and
The target user is ranked up each classification the interest-degree of each multimedia resource in each classification；
Each classification after sequence is recommended into the target user.
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| CN201710249247.0A CN108733684A (en) | 2017-04-17 | 2017-04-17 | The recommendation method and device of multimedia resource |
| PCT/CN2018/070028 WO2018192272A1 (en) | 2017-04-17 | 2018-01-02 | Multimedia resource recommendation method and apparatus |
| TW107107593A TWI678922B (en) | 2017-04-17 | 2018-03-07 | Method and device for recommending multimedia resources |
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| TW201840197A (en) | 2018-11-01 |
| TWI678922B (en) | 2019-12-01 |
| WO2018192272A1 (en) | 2018-10-25 |
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