CN110427552A - Be related to block chain thumbs up data recommendation method and its device - Google Patents
Be related to block chain thumbs up data recommendation method and its device Download PDFInfo
- Publication number
- CN110427552A CN110427552A CN201910676416.8A CN201910676416A CN110427552A CN 110427552 A CN110427552 A CN 110427552A CN 201910676416 A CN201910676416 A CN 201910676416A CN 110427552 A CN110427552 A CN 110427552A
- Authority
- CN
- China
- Prior art keywords
- user
- data
- label
- thumbs
- client
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The application disclose be related to block chain thumb up data recommendation method and its device, it is described to thumb up the client that data client is decentralization this method comprises: thumb up data client in response to the register of user;The data client that thumbs up obtains the User ID, and obtains the hobby label of user from block chain according to the User ID;The data client that thumbs up obtains that the user preferences label is corresponding to thumb up data according to the hobby label of the user from block chain;Described to thumb up data client for the data-pushing that thumbs up to the user, the data that thumb up include thumbing up the time, thumb up content and thumbing up object.User accesses for the first time in the application when thumbing up data client, and client can obtain the hobby label for thumbing up data according to the other kinds of operation data of user, pushes this to user hobby label is corresponding and thumb up data, so that the user experience is improved.
Description
Technical field
Data recommendation method and its device are thumbed up the present invention relates to field of computer technology more particularly to block chain.
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 individual thumb up 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 be related to block chain thumb up data recommendation method and its device,
This method can obtain the recommendation that the user thumbs up data, improve user's according to the other kinds of operation data of user
Experience increases the personalized of data and shows.
The application first aspect disclose be related to block chain thumb up data recommendation method, which comprises
Data client is thumbed up in response to the register of user, the data client that thumbs up is the client of decentralization
End;
The data client that thumbs up obtains the User ID, and obtains user's from block chain according to the User ID
Like label;
The data client that thumbs up obtains the user preferences mark according to the hobby label of the user from block chain
It signs and corresponding thumbs up data;
Described to thumb up data client for the data-pushing that thumbs up to the user, the data that thumb up include when thumbing up
Between, thumb up content and thumb up object.
It is described to thumb up data client and obtained from block chain according to the User ID in a kind of possible embodiment
The hobby label of user;It specifically includes:
The operation data for thumbing up data client and obtaining the user from block chain according to the User ID, it is described
Operation data be except the user thumb up data in addition to operation data;
For the data client that thumbs up according to the operation data of the user, obtain the user thumbs up data preferences mark
Label.
In a kind of possible embodiment, the data client that thumbs up is obtained according to the operation data of the user
The user's thumbs up data preferences label;It specifically includes:
The data client that thumbs up obtains the hobby set of tags of the user, institute according to the operation data of the user
Stating user preferences set of tags includes liking the acquisition number for obtaining the time and liking label of label;
The data client that thumbs up is according to the hobby set of tags of the user, hobby label time and hobby label
Number carries out tag sorting to the user preferences set of tags, obtains the user preferences tag sorting group;Wherein, the user
The Sort Priority for liking the label time is greater than the user preferences label number Sort Priority, the user preferences label row
Like label in sequence group successively to sort from high to low according to hobby label weight;
The data client that thumbs up selects the hobby label of preset quantity to make from the user preferences tag sorting group
The hobby label of operation data is thumbed up for the user.
In a kind of possible embodiment, the operation data of the user includes the user from media manipulation number
According to, electric quotient data, investigational data, knowledge payment data, ad click data, knowledge question data, community data, search number
According to, one of shared economic data, user's evaluation data, user's polled data and recruitment data or a variety of;Wherein, described
User's operation data are stored in the user's operation data on block chain.
In a kind of possible embodiment, the user is for the first time using the user for thumbing up data client.
The application second aspect disclose be related to block chain thumb up data recommendation device, described device is client, institute
Stating device includes response unit, processing unit and push unit;Wherein,
The response unit, it is described to thumb up the client that data client is decentralization in response to the register of user
End;
The processing unit obtains the User ID, and obtains the hobby of user from block chain according to the User ID
Label;
The processing unit obtains the user preferences label pair according to the hobby label of the user from block chain
That answers thumbs up data;
The push unit, by the data-pushing that thumbs up to the user, the data that thumb up include thumbing up time, point
It praises content and thumbs up object.
In a kind of possible embodiment, the processing unit obtains user's according to the User ID from block chain
Like label;It specifically includes:
The processing unit obtains the operation data of the user, the operation according to the User ID from block chain
Data be except the user thumb up data in addition to operation data;
The processing unit, according to the operation data of the user, obtain the user thumbs up data preferences label.
In a kind of possible embodiment, the processing unit obtains the use according to the operation data of the user
Family thumbs up data preferences label;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 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 described in from the user preferences tag sorting group
User thumbs up the hobby label of operation data.
In a kind of possible embodiment, the operation data of the user includes the user from media manipulation number
According to, electric quotient data, investigational data, knowledge payment data, ad click data, knowledge question data, community data, search number
According to, one of shared economic data, user's evaluation data, user's polled data and recruitment data or a variety of;Wherein, described
User's operation data are stored in the user's operation data on block chain.
In a kind of possible embodiment, the user is for the first time using the user for thumbing up 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, the processor realize aforementioned first party when executing described program
Either side or various method and steps in face 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, user accesses for the first time when thumbing up data client, and client can be according to the other kinds of of user
Operation data obtains the hobby label for thumbing up data, to thumb up the personalized recommendation of data, the user experience is improved.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment
Attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description be only invent some embodiments, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 be it is a kind of be related to block chain thumb up data recommendation method flow diagram;
Fig. 2 be it is a kind of be related to block chain thumb up data recommendation schematic device;
Fig. 3 be it is a kind of be related to block chain thumb up data 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, be related to block chain thumbs up data recommendation method, the method includes the steps S101-S104.
S101 thumbs up data client in response to the register of user, and the data client that thumbs up is decentralization
Client.
S102, the data client that thumbs up obtains the User ID, and is obtained from block chain according to the User ID
The hobby label of user.
In one example, the hobby for thumbing up data client and obtaining user from block chain according to the User ID
Label;It specifically includes: the operand for thumbing up data client and obtaining the user from block chain according to the User ID
According to, the operation data be except the user thumb up data in addition to operation data;The data client that thumbs up is according to institute
The operation data for stating user, obtain the user thumbs up data preferences label.
In one example, the data client that thumbs up obtains the user's according to the operation data of the user
Thumb up data preferences label;Specifically include: the data client that thumbs up obtains the use according to the operation data of the user
The hobby set of tags at family, the user preferences set of tags include liking the acquisition for obtaining the time and liking label time of label
Number;The data client that thumbs up 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 data client that thumbs up is from the user preferences label
In sequence group, the hobby label of preset quantity is selected to thumb up the hobby label of operation data as the user.
In one example, the operation data of the user include the user from media manipulation data, electric quotient data,
Investigational data, ad click data, knowledge question data, community data, searches for data, shares economic number knowledge payment data
According to, user's evaluation data, user's polled data and recruitment one of data or a variety of;Wherein, the user's operation data
The user's operation data being stored on block chain.
S103, the data client that thumbs up obtain the user according to the hobby label of the user from block chain
Label is corresponding thumbs up data for hobby.
S104, described to thumb up data client for the data-pushing that thumbs up to the user, the data that thumb up include
The time is thumbed up, content is thumbed up and thumbs up object.
In the step, for example: thumbing up data client according to the books of user and like label, push books to user
Thumb up data;According to the hobby label of the cosmetics of user, data are thumbed up to user's push cosmetics.Thumbing up object includes
It is various to thumb up industry or field, such as: various electronic products, apparel industry etc., thumbing up content can be picture, text or view
Frequently.
In one example, the user is for the first time using the user for thumbing up data client.
It should be noted that above-mentioned steps are user for the first time using data client is thumbed up, other numbers are used using user
According to the label of client, personalized recommendation for the first time is carried out to user.If user it is non-for the first time using data client is thumbed up when, the point
Praising data client will record down the hobby label of the user, 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 that (knowledge question data) can only possess the question and answer number for knowing user
According to the question and answer data preferences label with user, microblogging can only possess microblog users figure, text or small video data and user it is micro-
Rich hobby label, payment course platform (knowledge payment data) can only possess give a course and pay listen to the teacher user data and user
Like label, shared vehicle platform (such as drop drop is called a taxi) only possesses the shared data of drop drop user and the hobby label of user
Deng.The shared of data can not be carried out between each platform;And each platform can only be directed to operand of the user under the platform
According to obtaining 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.
In the application, user accesses for the first time when thumbing up data client, and client can be according to the other kinds of of user
Operation data obtains the hobby label for thumbing up data, to thumb up the personalized recommendation of data, the user experience is improved.
As shown in Fig. 2, being related to the recommendation apparatus for thumbing up data of block chain, described device is client, described device packet
Include response unit, processing unit and push unit.
The response unit, it is described to thumb up the client that data client is decentralization in response to the register of user
End;
The processing unit obtains the User ID, and obtains the hobby of user from block chain according to the User ID
Label;
The processing unit obtains the user preferences label pair according to the hobby label of the user from block chain
That answers thumbs up data;
The push unit, by the data-pushing that thumbs up to the user, the data that thumb up include thumbing up time, point
It praises content and thumbs up object.
In one example, the processing unit obtains the hobby label of user according to the User ID from block chain;
Specifically include: the processing unit obtains the operation data of the user, the operation according to the User ID from block chain
Data be except the user thumb up data in addition to operation data;
The processing unit, according to the operation data of the user, obtain the user thumbs up data preferences label.
In one example, for the processing unit according to the operation data of the user, obtain the user thumbs up number
According to hobby label;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 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 described in from the user preferences tag sorting group
User thumbs up the hobby label of operation data.
In one example, the operation data of the user include the user from media manipulation data, electric quotient data,
Investigational data, ad click data, knowledge question data, community data, searches for data, shares economic number knowledge payment data
According to, user's evaluation data, user's polled data and recruitment one of data or a variety of;Wherein, the user's operation data
The user's operation data being stored on block chain.
In one example, the user is for the first time using the user for thumbing up data client.
In the application, user accesses for the first time when thumbing up data client, and client can be according to the other kinds of of user
Operation data obtains the hobby label for thumbing up data, to thumb up the personalized recommendation of data, the user experience is improved.
This specification embodiment provides a kind of computer equipment, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, the processor execute above-mentioned any one embodiment of the method.
Present invention also provides a kind of computer readable storage medium, calculating is stored on the computer readable storage medium
Machine program, the computer program are executed by processor above-mentioned any one embodiment of the method.
Present invention also provides a kind of computer program products comprising instruction, when described instruction is run on computers
When, so that computer executes above-mentioned any one embodiment of the method.
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. be related to block chain thumbs up data recommendation method, which is characterized in that the described method includes:
Data client is thumbed up in response to the register of user, the data client that thumbs up is the client of decentralization;
The data client that thumbs up obtains the User ID, and obtains the hobby of user from block chain according to the User ID
Label;
The data client that thumbs up obtains the user preferences label pair according to the hobby label of the user from block chain
That answers thumbs up data;
It is described to thumb up data client for the data-pushing that thumbs up to the user, it is described thumb up data include thumb up the time,
It thumbs up content and thumbs up object.
2. the method according to claim 1, wherein described thumb up data client according to the User ID from area
The hobby label of user is obtained on block chain;It specifically includes:
The operation data for thumbing up data client and obtaining the user from block chain according to the User ID, the operation
Data be except the user thumb up data in addition to operation data;
For the data client that thumbs up according to the operation data of the user, obtain the user thumbs up data preferences label.
3. according to the method described in claim 2, it is characterized in that, the data client that thumbs up is according to the operation of the user
Data, obtain the user thumbs up data preferences label;It specifically includes:
The data client that thumbs up obtains the hobby set of tags of the user, the use according to the operation data of the user
Family hobby set of tags includes liking the acquisition number for obtaining the time and liking label of label;
It is described to thumb up data client according to the hobby set of tags of the user, hobby label time and like label number,
Tag sorting is carried out to the user preferences set of tags, obtains the user preferences tag sorting group;Wherein, the user preferences
The Sort Priority of label time is greater than the user preferences label number Sort Priority, the user preferences tag sorting group
Middle hobby label successively sorts from high to low according to hobby label weight;
The data client that thumbs up selects the hobby label of preset quantity as institute from the user preferences tag sorting group
State the hobby label that user thumbs up operation data.
4. according to claim 1 to method described in 3 any one, which is characterized in that the operation data of the user includes institute
State user from media manipulation data, electric quotient data, investigational data, knowledge payment data, ad click data, knowledge question number
According to one in, community data, search data, shared economic data, user's evaluation data, user's polled data and recruitment data
Kind is a variety of;Wherein, the user's operation data are stored in the user's operation data on block chain.
5. the method according to claim 1, wherein the user is to thumb up data client using described for the first time
User.
6. be related to block chain thumbs up data recommendation device, which is characterized in that described device is client, and described device includes ringing
Answer unit, processing unit and push unit;Wherein,
The response unit, it is described to thumb up the client that data client is decentralization in response to the register of user;
The processing unit obtains the User ID, and obtains the hobby label of user from block chain according to the User ID;
It is corresponding to obtain the user preferences label according to the hobby label of the user from block chain for the processing unit
Thumb up data;
The push unit, by the data-pushing that thumbs up to the user, the data that thumb up include in thumbing up the time, thumbing up
Hold and thumb up object.
7. device according to claim 6, which is characterized in that the processing unit is according to the User ID from block chain
Obtain the hobby label of user;It specifically includes:
The processing unit obtains the operation data of the user, the operation data according to the User ID from block chain
For except the user thumb up data in addition to operation data;
The processing unit, according to the operation data of the user, obtain the user thumbs up data preferences label.
8. device according to claim 7, which is characterized in that the processing unit according to the operation data of the user,
Obtain the user thumbs up data preferences label;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 is 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 user from the user preferences tag sorting group
Thumb up the hobby label of operation data.
9. according to device described in claim 6 to 8 any one, which is characterized in that the operation data of the user includes institute
State user from media manipulation data, electric quotient data, investigational data, knowledge payment data, ad click data, knowledge question number
According to one in, community data, search data, shared economic data, user's evaluation data, user's polled data and recruitment data
Kind is a variety of;Wherein, the user's operation data are stored in the user's operation data on block chain.
10. device according to claim 6, which is characterized in that the user is to thumb up data consumers using described for the first time
The user at end.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910676416.8A CN110427552A (en) | 2019-07-25 | 2019-07-25 | Be related to block chain thumbs up data recommendation method and its device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201910676416.8A CN110427552A (en) | 2019-07-25 | 2019-07-25 | Be related to block chain thumbs up data recommendation method and its device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110427552A true CN110427552A (en) | 2019-11-08 |
Family
ID=68410741
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201910676416.8A Pending CN110427552A (en) | 2019-07-25 | 2019-07-25 | Be related to block chain thumbs up data recommendation method and its device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110427552A (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111523137A (en) * | 2020-04-08 | 2020-08-11 | 北京瑞策科技有限公司 | Data recommendation method and device based on service data block chain |
CN114257842A (en) * | 2021-12-20 | 2022-03-29 | 中国平安财产保险股份有限公司 | Praise data processing system, method, device and storage medium |
-
2019
- 2019-07-25 CN CN201910676416.8A patent/CN110427552A/en active Pending
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111523137A (en) * | 2020-04-08 | 2020-08-11 | 北京瑞策科技有限公司 | Data recommendation method and device based on service data block chain |
CN114257842A (en) * | 2021-12-20 | 2022-03-29 | 中国平安财产保险股份有限公司 | Praise data processing system, method, device and storage medium |
CN114257842B (en) * | 2021-12-20 | 2023-06-23 | 中国平安财产保险股份有限公司 | Praise data processing system, method and device and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gallego et al. | Evaluating the impact of proactivity in the user experience of a context-aware restaurant recommender for Android smartphones | |
CN110392155B (en) | Notification message display and processing method, device and equipment | |
CN104636955A (en) | Merchant management information integration method and merchant management information integration system based on mobile internet | |
CN110888974A (en) | Data visualization method and device | |
CN110427552A (en) | Be related to block chain thumbs up data recommendation method and its device | |
CN110377838A (en) | Recruitment data recommendation method and its device on block chain | |
CN107632971A (en) | Method and apparatus for generating multidimensional form | |
CN110377836A (en) | By block chain from media data personalized recommendation method and its device | |
Biswas et al. | Technology acceptance perception for promotion of sustainable consumption | |
CN110413699A (en) | The cochain method and device thereof of user's ballot associated data | |
CN110377834A (en) | By means of the shared economic data recommended method and its device of block chain | |
CN110377839A (en) | By the search data recommendation method and its device of block chain | |
CN110377832A (en) | It is related to the electric quotient data recommended method and its device of block chain | |
CN110390053A (en) | Knowledge payment data recommended method and its device based on block chain | |
Faisal et al. | A structural analysis of the enablers of u-commerce proliferation in a developing economy | |
Hussain et al. | A heuristic evaluation of a mobile print and design shopping application | |
CN110427476A (en) | It is related to the knowledge question associated data processing method and its device of block chain | |
van Rijnsoever et al. | Interdependent technology attributes and the diffusion of consumer electronics | |
CN110377835A (en) | Polled data recommended method and its device based on block chain | |
CN110378746A (en) | It is related to the ad click data recommendation method and its device of block chain | |
CN110377837A (en) | Community data personalized recommendation method and its device based on block chain | |
CN110377718A (en) | Knowledge question data personalized recommendation method and its device based on block chain | |
WO2017170628A1 (en) | Sales analysis device, sales analysis method and sales analysis program | |
CN110377833A (en) | Investigational data recommended method and its device on block chain | |
CN110399427A (en) | By means of the ad click data sharing method and its system of block chain |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication |