CN110427776B - E-commerce associated data processing method and device on block chain - Google Patents
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Abstract
The application discloses a method and a device for processing E-commerce associated data on a block chain, wherein the method comprises the following steps: the service node generates a user list according to the e-commerce data stored on the block chain; the same user address in the user list corresponds to at least one e-commerce data attribute, one user corresponds to one user address, and the service node is a block link point for processing e-commerce data association in a block chain system; the service node performs uplink operation on the user list so as to store the user list on a block chain. According to the method and the device, the user can be associated with the operation data of the user on the plurality of internet platforms, and the association relation is stored on the block chain, so that the user experience is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a method and a device for processing E-commerce associated data on a block chain.
Background
At present, the blockchain technology combines technologies such as distributed storage, a consensus mechanism and an encryption algorithm, and has the characteristics of being not falsifiable, being real and credible in data, being traceable and the like.
As blockchain technology evolves, more and more data will be stored on the blockchain. Such as: incremental data or stock data of the Internet are stored in the block chain, so that data are prevented from being tampered when a user accesses the data, and the user experience is improved. When these data are uplinked, only these data are stored on the blockchain.
That is, the same user may have operational data on multiple internet platforms in the same internet industry, which is linked in isolation. The method comprises the following steps that operation data of the same user on a plurality of internet platforms in the same internet industry are required to be expressed on a block chain; otherwise the user experience of the user using the blockchain system is affected.
Therefore, how to correlate the data of the same user on different internet platforms after the internet data is linked up becomes an urgent problem to be solved.
The foregoing description is merely for convenience in understanding and is not to be construed as limiting the prior art to the present application.
Disclosure of Invention
Based on the above problems, the embodiments of the present application provide a method and a device for processing e-commerce associated data on a blockchain, where the method enables a user to associate with operation data of the user on multiple internet platforms, and stores the association relationship on the blockchain, thereby improving user experience.
The application discloses in a first aspect a method for processing e-commerce associated data on a blockchain, the method comprising:
the service node generates a user list according to the e-commerce data stored on the block chain; the same user address in the user list corresponds to at least one e-commerce data attribute, one user corresponds to one user address, and the service node is a block link point for processing e-commerce data association in a block chain system;
the service node performs uplink operation on the user list so as to store the user list on a block chain.
In one possible embodiment, the method further comprises: the service node generates a first e-commerce data list according to e-commerce data under the same e-commerce platform; one e-commerce data attribute in the first e-commerce data list corresponds to at least one user under the same e-commerce platform, and the e-commerce data under the same e-commerce platform are provided with the same label;
the service node performs uplink operation on the first e-commerce data list so that the first e-commerce data list is stored on a block chain.
In one possible embodiment, the method further comprises: the service node determines whether the similarity of the same e-commerce data attribute under different e-commerce platforms is greater than a similarity threshold value;
when the service node determines that the similarity of the same e-commerce data under different e-commerce platforms is greater than a similarity threshold, a second e-commerce data list is generated; one e-commerce data attribute in the second e-commerce data list corresponds to users under at least two different e-commerce platforms, and tags of e-commerce data under different e-commerce platforms are different;
the service node performs uplink operation on the second e-commerce data list so that the second e-commerce data list is stored on a block chain.
In one possible embodiment, the service node stores the user list and/or the first e-commerce data list and/or the second e-commerce data list by means of a list intelligence contract, which runs on the block chain.
In one possible embodiment, the e-commerce data includes one or more attributes of the user's goods purchase data, goods browsing data, payment data, goods evaluation data, goods approval data, and corresponding time data.
The second aspect of the application discloses an e-commerce associated data processing device on a block chain, wherein the device is a service node, the service node is a block chain link point for processing e-commerce data association relation in a block chain system, and the service node comprises a generating unit and a processing unit; wherein,
the generating unit generates a user list according to the e-commerce data stored on the block chain; wherein, the same user address in the user list corresponds to at least one e-commerce data attribute, and one user corresponds to one user address;
the processing unit performs a uplink operation on the user list so as to store the user list on a block chain.
In a possible implementation manner, the generating unit generates a first e-commerce data list according to e-commerce data of the same e-commerce platform; one e-commerce data attribute in the first e-commerce data list corresponds to at least one user under the same e-commerce platform, and the e-commerce data under the same e-commerce platform are provided with the same label;
the processing unit is used for performing a chaining operation on the first e-commerce data list so that the first e-commerce data list is stored on a block chain.
In a possible embodiment, the apparatus further comprises a determination unit; the determining unit is used for determining whether the similarity of the same e-commerce data attribute under different e-commerce platforms is greater than a similarity threshold value;
the determining unit is used for generating a second e-commerce data list when determining that the similarity of the same e-commerce data under different e-commerce platforms is greater than a similarity threshold; one e-commerce data attribute in the second e-commerce data list corresponds to users under at least two different e-commerce platforms, and tags of e-commerce data under different e-commerce platforms are different;
the processing unit is configured to perform a chaining operation on the second e-commerce data list, so that the second e-commerce data list is stored on a block chain.
In one possible embodiment, the service node stores the user list and/or the first e-commerce data list and/or the second e-commerce data list by means of a list intelligence contract, which runs on the block chain.
In one possible embodiment, the e-commerce data includes one or more attributes of the user's goods purchase data, goods browsing data, payment data, goods evaluation data, goods approval data, and corresponding time data.
A third aspect of the application discloses a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following method steps when executing the program:
the service node generates a user list according to the e-commerce data stored on the block chain; the same user address in the user list corresponds to at least one e-commerce data attribute, one user corresponds to one user address, and the service node is a block link point for processing e-commerce data association in a block chain system;
the service node performs uplink operation on the user list so as to store the user list on a block chain.
A fourth aspect of the present application discloses a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, realizes the following method steps:
the service node generates a user list according to the e-commerce data stored on the block chain; the same user address in the user list corresponds to at least one e-commerce data attribute, one user corresponds to one user address, and the service node is a block link point for processing e-commerce data association in a block chain system;
the service node performs uplink operation on the user list so as to store the user list on a block chain.
In a fifth aspect, there is provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of any one or more of the first or second aspects described above.
According to the method and the device, the user can be associated with the operation data of the user on the plurality of internet platforms, and the association relation is stored on the block chain, so that the user experience is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for processing e-commerce related data on a blockchain according to the present disclosure;
FIG. 2 is a schematic diagram of an E-commerce correlation data processing apparatus on a blockchain according to the present disclosure;
fig. 3 is a schematic structural diagram of an e-commerce related data processing device on a blockchain disclosed in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first" and "second" in this application are used for convenience of understanding only, and are not to be construed as sequential or limiting in any way.
For the purpose of facilitating understanding of the embodiments of the present invention, the following description will be further explained with reference to specific embodiments, which are not to be construed as limiting the embodiments of the present invention.
At present, except that the same user and the same user are in the same industry and the operation data on different internet platforms cannot be associated; in the same industry, after different internet platforms link the internet data of the platform, the same or similar internet data in different internet platforms cannot be associated. That is, the same operation data of different internet platforms in the same industry may correspond to multiple users, and the association relationship cannot be expressed on the blockchain. At the moment, when a user inquires the internet data on the block chain, the user can only inquire the internet data under a certain internet platform; affecting the user experience.
The operation data in the embodiment of the application is e-commerce data.
The embodiments of the present application will be described below with reference to the accompanying drawings. As shown in fig. 1, the method comprises steps S101-S102.
S101, a service node generates a user list according to the e-commerce data stored in a block chain; the same user address in the user list corresponds to at least one e-commerce data attribute, one user corresponds to one user address, and the service node is a block link point for processing e-commerce data association in a block chain system.
It should be noted that, at least one e-commerce data attribute corresponding to one user in the user list may be e-commerce data under the same e-commerce platform or e-commerce data under different e-commerce platforms.
S102, the service node performs uplink operation on the user list, so as to store the user list on a block chain.
In one example, the method further comprises: the service node generates a first e-commerce data list according to e-commerce data under the same e-commerce platform; one e-commerce data attribute in the first e-commerce data list corresponds to at least one user under the same e-commerce platform, and the e-commerce data under the same e-commerce platform are provided with the same label; the service node performs uplink operation on the first e-commerce data list so that the first e-commerce data list is stored on a block chain.
At this time, for e-commerce data under the same e-commerce platform, one e-commerce data attribute corresponds to a plurality of users. For example: the user A purchases the mobile phone C on the same E-commerce platform once and evaluates the mobile phone; the user B also bought the mobile phone once and evaluated the mobile phone C; when a user inquires the mobile phone, the purchase records of the user A and the user B can be displayed, and the corresponding evaluation records can be seen.
In one example, the method further comprises: the service node determines whether the similarity of the same e-commerce data attribute under different e-commerce platforms is greater than a similarity threshold value; when the service node determines that the similarity of the same e-commerce data under different e-commerce platforms is greater than a similarity threshold, a second e-commerce data list is generated; one e-commerce data attribute in the second e-commerce data list corresponds to users under at least two different e-commerce platforms, and tags of e-commerce data under different e-commerce platforms are different; the service node performs uplink operation on the second e-commerce data list so that the second e-commerce data list is stored on a block chain.
At this time, the same e-commerce data corresponds to a plurality of users under different e-commerce platforms. The similarity threshold may be set according to actual needs, and the similarity value of the e-commerce data attribute may be calculated by a conventional similarity calculation method, which is not described in detail and is not limited thereto.
For example: the mobile phone a of the E-commerce platform A is similar to the mobile phone B of the E-commerce platform B; at this time, the mobile phone a is purchased by the user C, and the mobile phone b is purchased by the user D. When a user inquires the mobile phone a or the mobile phone b, the user can see the purchase records of the user C and the user D, and can see the evaluation of the user C and the user D for the similar mobile phone or the evaluation of the user C and the user D in favor of other users. The mobile phone a is similar to the mobile phone b in model and brand, but the color or price of the mobile phone is different, or the sales promotion activity is different.
It should be noted that the calculation of the similarity value of the e-commerce data may also be implemented by a smart contract.
In one example, the service node stores a user list and/or a first e-commerce data list and/or a second e-commerce data list by a list intelligence contract, the list intelligence contract running on the block chain.
In addition, a field can be added in the block and stored in the block, and the block can be any block chain on the block chain; in other words, each tile has the field stored thereon, which can be used to store a user list and a power provider data list.
In one example, the e-commerce data includes one or more attributes of the user's merchandise purchase data, merchandise browsing data, payment data, merchandise evaluation data, merchandise approval data, and corresponding time data.
According to the method and the device, one user can be associated with the operation data of the user on a plurality of internet platforms, and the association relation is stored in the block chain, so that the user experience is improved; and the association between the operation data on a plurality of internet platforms and a plurality of users can be associated, and the association relation is stored on the block chain, so that the user experience is further improved. When the user inquires on the block chain, the user can inquire the operation data of the user on different Internet platforms and can inquire other users aiming at the same operation data.
As shown in fig. 2, the device for processing e-commerce associated data on a blockchain is a service node, the service node is a blockchain link point for processing e-commerce data association in a blockchain system, and the service node includes a generation unit and a processing unit.
The generating unit generates a user list according to the e-commerce data stored on the block chain; wherein, the same user address in the user list corresponds to at least one e-commerce data attribute, and one user corresponds to one user address;
the processing unit performs a uplink operation on the user list so as to store the user list on a block chain.
In one example, the generating unit generates a first e-commerce data list according to e-commerce data of the same e-commerce platform; one e-commerce data attribute in the first e-commerce data list corresponds to at least one user under the same e-commerce platform, and the e-commerce data under the same e-commerce platform are provided with the same label;
the processing unit is used for performing a chaining operation on the first e-commerce data list so that the first e-commerce data list is stored on a block chain.
In one example, the apparatus further comprises a determining unit; the determining unit is used for determining whether the similarity of the same e-commerce data attribute under different e-commerce platforms is greater than a similarity threshold value;
the determining unit is used for generating a second e-commerce data list when determining that the similarity of the same e-commerce data under different e-commerce platforms is greater than a similarity threshold; one e-commerce data attribute in the second e-commerce data list corresponds to users under at least two different e-commerce platforms, and tags of e-commerce data under different e-commerce platforms are different;
the processing unit is configured to perform a chaining operation on the second e-commerce data list, so that the second e-commerce data list is stored on a block chain.
In one example, the service node stores a user list and/or a first e-commerce data list and/or a second e-commerce data list by a list intelligence contract, the list intelligence contract running on the block chain.
In one example, the e-commerce data includes one or more attributes of the user's merchandise purchase data, merchandise browsing data, payment data, merchandise evaluation data, merchandise approval data, and corresponding time data.
The application also discloses a computer device, comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor implements the following method steps when executing the program:
the service node generates a user list according to the e-commerce data stored on the block chain; the same user address in the user list corresponds to at least one e-commerce data attribute, one user corresponds to one user address, and the service node is a block link point for processing e-commerce data association in a block chain system;
the service node performs uplink operation on the user list so as to store the user list on a block chain.
The present application also discloses a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, realizes the following method steps:
the service node generates a user list according to the e-commerce data stored on the block chain; the same user address in the user list corresponds to at least one e-commerce data attribute, one user corresponds to one user address, and the service node is a block link point for processing e-commerce data association in a block chain system;
the service node performs uplink operation on the user list so as to store the user list on a block chain.
Furthermore, the present application also provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of any one or more of the embodiments described above.
According to the method and the device, one user can be associated with the operation data of the user on a plurality of internet platforms, and the association relation is stored in the block chain, so that the user experience is improved; and the association between the operation data on a plurality of internet platforms and a plurality of users can be associated, and the association relation is stored on the block chain, so that the user experience is further improved. When the user inquires on the block chain, the user can inquire the operation data of the user on different Internet platforms and can inquire other users aiming at the same operation data.
Fig. 3 shows a schematic diagram of a computer device, which may include: a processor 310, a memory 320, an input/output interface 330, a communication interface 340, and a bus 350. Wherein the processor 310, memory 320, input/output interface 330, and communication interface 340 are communicatively coupled to each other within the device via bus 350.
The processor 310 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solutions provided in the embodiments of the present specification.
The Memory 320 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random access Memory), a static storage device, a dynamic storage device, or the like. The memory 320 may store an operating system and other application programs, and when the technical solution provided by the embodiments of the present specification is implemented by software or firmware, the relevant program codes are stored in the memory 320 and called to be executed by the processor 310.
The input/output interface 330 is used for connecting an input/output module to realize information input and output. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.
The communication interface 340 is used for connecting a communication module (not shown in the figure) to implement communication interaction between the present device and other devices. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).
It should be noted that although the above-mentioned device only shows the processor 310, the memory 320, the input/output interface 330, the communication interface 340 and the bus 350, in a specific implementation, the device may also include other components necessary for normal operation. In addition, those skilled in the art will appreciate that the above-described apparatus may also include only those components necessary to implement the embodiments of the present description, and not necessarily all of the components shown in the figures.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the scope of the present invention should be included in the scope of the present invention.
Claims (6)
1. Method for processing E-commerce associated data on a blockchain, the method comprising:
the service node generates a user list according to the e-commerce data stored on the block chain; the same user address in the user list corresponds to at least one e-commerce data attribute, one user corresponds to one user address, and the service node is a block link point for processing e-commerce data association in a block chain system;
the service node performs uplink operation on the user list so as to store the user list on a block chain;
the service node generates a first e-commerce data list according to e-commerce data under the same e-commerce platform; one e-commerce data attribute in the first e-commerce data list corresponds to at least one user under the same e-commerce platform, and the e-commerce data under the same e-commerce platform are provided with the same label;
the service node performs uplink operation on the first e-commerce data list so that the first e-commerce data list is stored on a block chain;
the method further comprises the following steps:
the service node determines whether the similarity of the same e-commerce data attribute under different e-commerce platforms is greater than a similarity threshold value;
when the service node determines that the similarity of the same e-commerce data under different e-commerce platforms is greater than a similarity threshold, a second e-commerce data list is generated; one e-commerce data attribute in the second e-commerce data list corresponds to users under at least two different e-commerce platforms, and tags of e-commerce data under different e-commerce platforms are different;
the service node performs uplink operation on the second e-commerce data list so that the second e-commerce data list is stored on a block chain.
2. The method according to claim 1, characterized in that the service node stores a user list and/or a first e-commerce data list and/or a second e-commerce data list by means of a list intelligence contract, which runs on the block chain.
3. The method of claim 1, wherein the e-commerce data comprises one or more attributes of the user's goods purchase data, goods browsing data, payment data, goods evaluation data, goods approval data, and corresponding time data.
4. The device for processing the E-commerce associated data on the block chain is characterized in that the device is a service node, the service node is a block chain link point for processing the E-commerce data association relationship in a block chain system, and the service node comprises a generating unit and a processing unit; wherein,
the generating unit generates a user list according to the e-commerce data stored on the block chain; wherein, the same user address in the user list corresponds to at least one e-commerce data attribute, and one user corresponds to one user address;
the processing unit is used for performing uplink operation on the user list so as to store the user list on a block chain;
the generation unit generates a first e-commerce data list according to e-commerce data under the same e-commerce platform; one e-commerce data attribute in the first e-commerce data list corresponds to at least one user under the same e-commerce platform, and the e-commerce data under the same e-commerce platform are provided with the same label;
the processing unit is used for performing a chaining operation on the first e-commerce data list so as to store the first e-commerce data list on a block chain;
the apparatus further comprises a determination unit; wherein,
the determining unit is used for determining whether the similarity of the same e-commerce data attribute under different e-commerce platforms is greater than a similarity threshold value;
the determining unit is used for generating a second e-commerce data list when determining that the similarity of the same e-commerce data under different e-commerce platforms is greater than a similarity threshold; one e-commerce data attribute in the second e-commerce data list corresponds to users under at least two different e-commerce platforms, and tags of e-commerce data under different e-commerce platforms are different;
the processing unit is configured to perform a chaining operation on the second e-commerce data list, so that the second e-commerce data list is stored on a block chain.
5. The arrangement according to claim 4, characterized in that the service node stores a user list and/or a first e-commerce data list and/or a second e-commerce data list by means of a list intelligence contract, which runs on the block chain.
6. The apparatus of claim 4, wherein the e-commerce data comprises one or more attributes of the user's goods purchase data, goods browsing data, payment data, goods evaluation data, goods approval data, and corresponding time data.
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