CN110377836A - By block chain from media data personalized recommendation method and its device - Google Patents
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Abstract
The present embodiments relate to by block chain from media data personalized recommendation method and its device, this method comprises: client end response operating from media data in user, the operation data of user is obtained from block chain, client is the client of decentralization, and client is from media data client, operation data is the operation data in addition to the user is from media manipulation data；Client data depending on the user's operation, obtain hobby label of the user from media manipulation data；For the client according to user from the hobby label of media manipulation data, it includes image data, lteral data and small video data from media data that Xiang Suoshu user's push user preferences label is corresponding from media data.When user is accessed for the first time from media data client in the application, client can obtain the hobby label from media data, so that the user experience is improved according to the other kinds of operation data of user.
Description
Technical field
The present invention relates to field of computer technology more particularly to it is a kind of by block chain from media data personalized recommendation
Method and device thereof.
Background technique
Currently, preserve the data of personal various dimensions on internet, for example Internet chat data, commodity purchasing data, search
Rope data, web browsing data and personal recruitment resume data etc..All there is the application of each company operation in these data
In software center database.Centralization database purchase mode, allow data leakage and distort, become what user worried always
Problem.
However, due to the generation and application of block chain technology, more and more data can be stored on block chain.Block chain
It is the distributed storage technology of decentralization, it, can be by number using technologies such as common recognition algorithm, Encryption Algorithm and point-to-point transmission
It is stored in several nodes according to distribution, and only holds the user of the data private key, can check the number of user itself
According to ensure that the safety of data.
Therefore, can be stored with the data of multiple dimensions of a user on block chain, how by means of multiple dimensions number
According to, give user carry out individuation data recommendation, become one of block chain large-scale application urgent problem to be solved.
Above description understands just to facilitate, and should not be limited to the prior art of the application.
Summary of the invention
Based on the above issues, the embodiment of the present application provide by block chain from media data personalized recommendation method and
Its device, this method can obtain recommendation of the user from media data according to the other kinds of operation data of user, be promoted
The experience of user increases the personalized of data and shows.
The application first aspect disclose it is a kind of by block chain from media data personalized recommendation method, the method
Include:
Client end response is operated in user's from media data, and the operation data of user, the visitor are obtained from block chain
Family end is the client of decentralization, and the client is from media data client, and the operation data is except the use
The operation data from other than media manipulation data at family；
The client obtains hobby mark of the user from media manipulation data according to the operation data of the user
Label；
For the client according to the user from the hobby label of media manipulation data, Xiang Suoshu user pushes the user
It is corresponding from media data to like label, it is described from media data include image data, lteral data and small video data.
In a kind of possible embodiment, the operation data of the user include the user electric business purchase data,
Investigation questionnaire replies data, knowledge payment data, knowledge question data, ad click data, community post data, search number
According to, work recruitment one of data and shared economic data or a variety of；Wherein, the user's operation data are stored in area
User's operation data on block chain.
In a kind of possible embodiment, the client obtains the user according to the operation data of the user
From the hobby label of media manipulation data；It specifically includes:
The client obtains the hobby set of tags of the user, user's happiness according to the operation data of the user
Good set of tags includes liking the acquisition number for obtaining the time and liking label of label；
The client is according to the hobby set of tags of the user, hobby label time and hobby label number, to institute
It states user preferences set of tags and carries out tag sorting, obtain the user preferences tag sorting group；Wherein, the user preferences label
The Sort Priority of time is greater than the user preferences label number Sort Priority, likes in the user preferences tag sorting group
Good label successively sorts from high to low according to hobby label weight；
The client selects the hobby label of preset quantity as the use from the user preferences tag sorting group
Hobby label of the family from media manipulation data.
In a kind of possible embodiment, the client is according to the user from the hobby mark of media manipulation data
Label, it is corresponding from media data that Xiang Suoshu user pushes the user preferences label；Specifically further include: the client is according to institute
Hobby label of the user from media manipulation data is stated, the user is obtained from block chain from media manipulation data preferences label pair
Answer from media data；
The client by the user from media manipulation data preferences label it is corresponding be pushed to from media data it is described
User.
In a kind of possible embodiment, client obtains the operation data of user from block chain, specifically includes: visitor
Family end obtains the corresponding operation data of the User ID according to User ID from block chain；Wherein, the user is to use for the first time
The user from media data client.
The application second aspect disclose it is a kind of by block chain from media data personalized recommendation device, described device
For client, described device includes acquiring unit, processing unit and push unit；Wherein,
The acquiring unit obtains the operation of the user in response to operating from media data for user from block chain
Data, the client is the client of decentralization, and the client is from media data client, the operation data
For the operation data in addition to the user is from media manipulation data；
The processing unit obtains hobby of the user from media manipulation data according to the operation data of the user
Label；
The push unit, according to the user from the hobby label of media manipulation data, described in Xiang Suoshu user's push
User preferences label is corresponding from media data, described to include image data, lteral data from media data and neglect frequency
According to.
In a kind of possible embodiment, the operation data of the user include the user electric business purchase data,
Investigation questionnaire replies data, knowledge payment data, knowledge question data, ad click data, community post data, search number
According to, work recruitment one of data and shared economic data or a variety of；Wherein, the user's operation data are stored in area
User's operation data on block chain.
In a kind of possible embodiment, the processing unit obtains the use according to the operation data of the user
Hobby label of the family from media manipulation data；It specifically includes:
The processing unit obtains the hobby set of tags of the user, the user according to the operation data of the user
Hobby set of tags includes liking the acquisition number for obtaining the time and liking label of label；
The processing unit, it is right according to the hobby set of tags of the user, hobby label time and hobby label number
The user preferences set of tags carries out tag sorting, obtains the user preferences tag sorting group；Wherein, the user preferences mark
The Sort Priority for signing the time is greater than the user preferences label number Sort Priority, in the user preferences tag sorting group
Hobby label successively sorts from high to low according to hobby label weight；
The processing unit selects the hobby label of preset quantity as institute from the user preferences tag sorting group
State hobby label of the user from media manipulation data.
In a kind of possible embodiment, the push unit, according to the user from the hobby of media manipulation data
Label, it is corresponding from media data that Xiang Suoshu user pushes the user preferences label；Specifically further include:
The acquiring unit, according to the user from the hobby label of media manipulation data, from block chain described in acquisition
User is corresponding from media data from media manipulation data preferences label；
The user is pushed to institute from media data from media manipulation data preferences label is corresponding by the push unit
State user.
In a kind of possible embodiment, the acquiring unit obtains the operation data of user from block chain, specifically
Include: the acquiring unit, obtains the corresponding operation data of the User ID from block chain according to User ID；Wherein, described
User is for the first time using the user from media data client.
The third aspect, this specification embodiment provide a kind of computer equipment, including memory, processor and are stored in
On memory and the computer program that can run on a processor, which is characterized in that the processor executes real when described program
Either side or various method and steps in existing aforementioned first aspect or second aspect.
Fourth aspect provides a kind of computer readable storage medium, and meter is stored on the computer readable storage medium
Calculation machine program, the computer program realize either side or more in above-mentioned first aspect or second aspect when being executed by processor
Method described in aspect.
5th aspect, provides a kind of computer program product comprising instruction, when described instruction is run on computers
When, so that computer executes in above-mentioned first aspect or second aspect method described in either side or various aspects.
In the application, when user is accessed for the first time from media data client, client can be according to the other types of user
Operation data, the hobby label from media data is obtained, to carry out improving user from the personalized recommendation of media data
Experience.
Detailed description of the invention
Fig. 1 be it is a kind of by block chain from media data personalized recommendation method flow diagram；
Fig. 2 be it is a kind of by block chain from media data personalized recommendation apparatus structure schematic diagram；
Fig. 3 be it is a kind of by block chain from media data personalized recommendation device structure schematic diagram.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
In order to facilitate understanding of embodiments of the present invention, it is further explained below in conjunction with attached drawing with specific embodiment
Bright, embodiment does not constitute the restriction to the embodiment of the present invention.
In the application, client is the client (Decentralized Application, DApp) of decentralization, visitor
Family end directly carries out the interaction of information with block chain.Also, the data in various industries or field are preserved on block chain.
As shown in Figure 1, it is a kind of by block chain from media data personalized recommendation method, the method includes the steps
S101-S103。
S101, client end response are operated in user's from media data, and the operation data of user, institute are obtained from block chain
The client that client is decentralization is stated, and the client is from media data client, the operation data is except institute
State the operation data from other than media manipulation data of user.
In one example, the operation data of the user include the user electric business purchase data, investigation questionnaire answer
Complex data, knowledge payment data, knowledge question data, ad click data, community are posted data, search data, work recruitment
One of data and shared economic data are a variety of；Wherein, the user's operation data are stored in the use on block chain
Family operation data.
It should be noted that above-mentioned steps are that user is used for the first time from media data client, other are used using user
The label of data client carries out personalized recommendation for the first time to user.If user is non-when used for the first time from media data client,
This will record down the hobby label of the user from media data client, can be recommended for the user preferences label.
It should be pointed out that each platform is all centralization database, can only possess the platform in current internet
The hobby label of user's operation data and user.Such as: know to possess and knows the question and answer data of user and the question and answer of user
Data preferences label, microblogging can only possess figure, text or the small video data of microblog users and the microblogging hobby label of user, payment
Course platform can only possess the data of user and the hobby label of user of listening to the teacher of giving a course and pay, and share vehicle platform (such as drop drop
Call a taxi) only possess shared data and hobby label of user of drop drop user etc..It can not be counted between each platform
According to it is shared；And each platform can only be directed to operation data of the user under the platform, obtain the hobby label of user, and carry out
The personalized recommendation of user.
However, user can pass through each data consumers after the data of each platform or industry are stored on block chain
End access data.The case where discussed here it is the embodiment of the present application, is stored with each dimension of user or field on block chain
Data, the available label to user.Therefore, even if user uses some data manipulation client, data behaviour for the first time
Making client still can be to user-customized recommended data.
S102, the client obtain the happiness of the user from media manipulation data according to the operation data of the user
Good label.
In one example, the client obtains the user from media manipulation according to the operation data of the user
The hobby label of data；Specifically include: the client obtains the hobby mark of the user according to the operation data of the user
Label group, the user preferences set of tags include liking the acquisition number for obtaining the time and liking label of label；The client
End is according to the hobby set of tags of the user, hobby label time and hobby label number, to the user preferences set of tags
Tag sorting is carried out, the user preferences tag sorting group is obtained；Wherein, the Sort Priority of the user preferences label time
Greater than the user preferences label number Sort Priority, hobby label is marked according to hobby in the user preferences tag sorting group
Label weight successively sorts from high to low；The client selects the happiness of preset quantity from the user preferences tag sorting group
Good label is as the user from the hobby label of media manipulation data.
S103, for the client according to the user from the hobby label of media manipulation data, Xiang Suoshu user pushes institute
It is corresponding from media data to state user preferences label, it is described from media data include image data, lteral data and small video
Data.
In one example, the client according to the user from the hobby label of media manipulation data, to the use
It is corresponding from media data that family pushes the user preferences label；Specifically further include: the client is according to the user from matchmaker
It is corresponding from media from media manipulation data preferences label to obtain the user from block chain for the hobby label of body operation data
Data；The user is pushed to the use from media data from media manipulation data preferences label is corresponding by the client
Family.
In one example, client obtains the operation data of user from block chain, specifically includes: client according to
Family ID obtains the corresponding operation data of the User ID from block chain；Wherein, the user is for the first time using described from media
The user of data client.
In the application, when user is accessed for the first time from media data client, client can be according to the other types of user
Operation data, the hobby label from media data is obtained, to carry out improving user from the personalized recommendation of media data
Experience.
As shown in Fig. 2, it is a kind of by block chain from media data personalized recommendation device, described device is client,
Described device includes acquiring unit, processing unit and push unit.
The acquiring unit obtains the operation of the user in response to operating from media data for user from block chain
Data, the client is the client of decentralization, and the client is from media data client, the operation data
For the operation data in addition to the user is from media manipulation data.
The processing unit obtains hobby of the user from media manipulation data according to the operation data of the user
Label.
The push unit, according to the user from the hobby label of media manipulation data, described in Xiang Suoshu user's push
User preferences label is corresponding from media data, described to include image data, lteral data from media data and neglect frequency
According to.
In one example, the operation data of the user include the user electric business purchase data, investigation questionnaire answer
Complex data, knowledge payment data, knowledge question data, ad click data, community are posted data, search data, work recruitment
One of data and shared economic data are a variety of；Wherein, the user's operation data are stored in the use on block chain
Family operation data.
In one example, the processing unit obtains the user and grasps from media according to the operation data of the user
Make the hobby label of data；It specifically includes:
The processing unit obtains the hobby set of tags of the user, the user according to the operation data of the user
Hobby set of tags includes liking the acquisition number for obtaining the time and liking label of label；
The processing unit, it is right according to the hobby set of tags of the user, hobby label time and hobby label number
The user preferences set of tags carries out tag sorting, obtains the user preferences tag sorting group；Wherein, the user preferences mark
The Sort Priority for signing the time is greater than the user preferences label number Sort Priority, in the user preferences tag sorting group
Hobby label successively sorts from high to low according to hobby label weight；
The processing unit selects the hobby label of preset quantity as institute from the user preferences tag sorting group
State hobby label of the user from media manipulation data.
In one example, the push unit, according to the user from the hobby label of media manipulation data, Xiang Suoshu
It is corresponding from media data that user pushes the user preferences label；Specifically further include: the acquiring unit, according to the user
From the hobby label of media manipulation data, it is corresponding certainly from media manipulation data preferences label that the user is obtained from block chain
Media data；The user is pushed to from media manipulation data preferences label is corresponding from media data by the push unit
The user.
In one example, the acquiring unit obtains the operation data of user from block chain, specifically includes: described to obtain
Unit is taken, obtains the corresponding operation data of the User ID from block chain according to User ID；Wherein, the user is to make for the first time
With the user from media data client.
In the application, when user is accessed for the first time from media data client, client can be according to the other types of user
Operation data, the hobby label from media data is obtained, to carry out improving user from the personalized recommendation of media data
Experience.
Fig. 3 shows a kind of computer equipment structural schematic diagram, which may include: processor 310, storage
Device 320, input/output interface 330, communication interface 340 and bus 350.Wherein processor 340, memory 320, input/output
Interface 330 and communication interface 340 pass through the communication connection between the realization of bus 350 inside equipment.
Processor 310 can use general CPU (Central Processing Unit, central processing unit), micro process
Device, application specific integrated circuit (Application Specific Integrated Circuit, ASIC) or one or
The modes such as multiple integrated circuits are realized, for executing relative program, to realize technical solution provided by this specification embodiment.
Memory 320 can use ROM (Read Only Memory, read-only memory), RAM (Random Access
Memory, random access memory), static storage device, the forms such as dynamic memory realize.Memory 320 can store
Operating system and other applications are realizing technical solution provided by this specification embodiment by software or firmware
When, relevant program code is stored in memory 320, and execution is called by processor 310.
Input/output interface 330 is for connecting input/output module, to realize information input and output.Input and output/
Module can be used as component Configuration (not shown) in a device, can also be external in equipment to provide corresponding function.Wherein
Input equipment may include keyboard, mouse, touch screen, microphone, various kinds of sensors etc., output equipment may include display,
Loudspeaker, vibrator, indicator light etc..
Communication interface 340 is used for connection communication module (not shown), to realize the communication of this equipment and other equipment
Interaction.Wherein communication module can be realized by wired mode (such as USB, cable etc.) and be communicated, can also be wirelessly
(such as mobile network, WIFI, bluetooth etc.) realizes communication.
Bus 350 includes an access, in various components (such as the processor 310, memory 320, input/output of equipment
Interface 330 and communication interface 340) between transmit information.
It should be noted that although above equipment illustrates only processor 310, memory 320, input/output interface
330, communication interface 340 and bus 350, but in the specific implementation process, which can also include realizing to operate normally
Necessary other assemblies.In addition, it will be appreciated by those skilled in the art that, it can also be only comprising realizing in above equipment
Component necessary to this specification example scheme, without including all components shown in figure.
Professional should further appreciate that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Unit and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.
Professional technician can use different methods to achieve the described function each specific application, but this realization
It should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can be executed with hardware, processor
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only memory
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all any modification, equivalent substitution, improvement and etc. within the scope of the present invention, done should be included in this hair
Within bright protection scope.
Claims (10)
1. it is a kind of by block chain from media data personalized recommendation method, which is characterized in that the described method includes:
Client end response is operated in user's from media data, and the operation data of user, the client are obtained from block chain
For the client of decentralization, and the client is from media data client, and the operation data is except the user's
Operation data from other than media manipulation data；
The client obtains hobby label of the user from media manipulation data according to the operation data of the user；
For the client according to the user from the hobby label of media manipulation data, Xiang Suoshu user pushes the user preferences
Label is corresponding from media data, it is described from media data include image data, lteral data and small video data.
2. the method according to claim 1, wherein the operation data of the user includes the electric business of the user
Purchase data, investigation questionnaire reply data, knowledge payment data, knowledge question data, ad click data, community post number
According to, search data, work recruitment one of data and shared economic data or a variety of；Wherein, the user's operation data
The user's operation data being stored on block chain.
3. the method according to claim 1, wherein the client is obtained according to the operation data of the user
Take hobby label of the user from media manipulation data；It specifically includes:
The client obtains the hobby set of tags of the user, the user preferences mark according to the operation data of the user
Label group includes liking the acquisition number for obtaining the time and liking label of label；
The client is according to the hobby set of tags of the user, hobby label time and hobby label number, to the use
Family likes set of tags and carries out tag sorting, obtains the user preferences tag sorting group；Wherein, the user preferences label time
Sort Priority be greater than the user preferences label number Sort Priority, mark is liked in the user preferences tag sorting group
Label successively sort from high to low according to hobby label weight；
The client from the user preferences tag sorting group, select the hobby label of preset quantity as the user from
The hobby label of media manipulation data.
4. the method according to claim 1, wherein the client is according to the user from media manipulation data
Hobby label, it is corresponding from media data that Xiang Suoshu user pushes the user preferences label；Specifically further include:
The client, from the hobby label of media manipulation data, obtains the user from matchmaker according to the user from block chain
It is corresponding from media data that body operation data likes label；
The user is pushed to the user from media data from media manipulation data preferences label is corresponding by the client.
5. the method according to claim 1, wherein client obtains the operation data of user from block chain,
It specifically includes:
Client obtains the corresponding operation data of the User ID according to User ID from block chain；Wherein, headed by the user
It is secondary to use the user from media data client.
6. it is a kind of by block chain from media data personalized recommendation device, which is characterized in that described device is client, institute
Stating device includes acquiring unit, processing unit and push unit；Wherein,
The acquiring unit obtains the operation data of the user in response to operating from media data for user from block chain,
The client is the client of decentralization, and the client be from media data client, the operation data be except
The operation data from other than media manipulation data of the user；
The processing unit obtains hobby label of the user from media manipulation data according to the operation data of the user；
The push unit, according to the user from the hobby label of media manipulation data, Xiang Suoshu user pushes the user
It is corresponding from media data to like label, it is described from media data include image data, lteral data and small video data.
7. device according to claim 6, which is characterized in that the operation data of the user includes the electric business of the user
Purchase data, investigation questionnaire reply data, knowledge payment data, knowledge question data, ad click data, community post number
According to, search data, work recruitment one of data and shared economic data or a variety of；Wherein, the user's operation data
The user's operation data being stored on block chain.
8. device according to claim 6, which is characterized in that the processing unit, according to the operation data of the user,
Obtain hobby label of the user from media manipulation data；It specifically includes:
The processing unit obtains the hobby set of tags of the user, the user preferences according to the operation data of the user
Set of tags includes liking the acquisition number for obtaining the time and liking label of label；
The processing unit, according to the hobby set of tags of the user, hobby label time and hobby label number, to described
User preferences set of tags carries out tag sorting, obtains the user preferences tag sorting group；Wherein, when the user preferences label
Between Sort Priority be greater than the user preferences label number Sort Priority, like in the user preferences tag sorting group
Label successively sorts from high to low according to hobby label weight；
The processing unit selects the hobby label of preset quantity as the use from the user preferences tag sorting group
Hobby label of the family from media manipulation data.
9. device according to claim 6, which is characterized in that the push unit, according to the user from media manipulation
The hobby label of data, it is corresponding from media data that Xiang Suoshu user pushes the user preferences label；Specifically further include:
The acquiring unit obtains the user according to the user from the hobby label of media manipulation data from block chain
It is corresponding from media data from media manipulation data preferences label；
The user is pushed to the use from media data from media manipulation data preferences label is corresponding by the push unit
Family.
10. device according to claim 6, which is characterized in that the acquiring unit obtains the behaviour of user from block chain
Make data, specifically include:
The acquiring unit obtains the corresponding operation data of the User ID according to User ID from block chain；Wherein, the use
Family is for the first time using the user from media data client.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110798742A (en) * | 2019-11-11 | 2020-02-14 | 腾讯科技（深圳）有限公司 | Program recommendation method and device, storage medium and computer equipment |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110798742A (en) * | 2019-11-11 | 2020-02-14 | 腾讯科技（深圳）有限公司 | Program recommendation method and device, storage medium and computer equipment |
| CN110798742B (en) * | 2019-11-11 | 2021-06-25 | 腾讯科技（深圳）有限公司 | Program recommendation method and device, storage medium and computer equipment |
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