CN117993935A - E-commerce big data platform based on block chain - Google Patents
E-commerce big data platform based on block chain Download PDFInfo
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- CN117993935A CN117993935A CN202410211154.9A CN202410211154A CN117993935A CN 117993935 A CN117993935 A CN 117993935A CN 202410211154 A CN202410211154 A CN 202410211154A CN 117993935 A CN117993935 A CN 117993935A
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Abstract
The invention discloses an electronic commerce big data platform based on a blockchain, which comprises a commodity grade determining system, a selling qualification determining system, a illegal commodity determining system, a store management system and an information supervision system; the commodity grade determining system is used for determining grade category of commodities; the selling qualification determining system is used for determining whether a merchant shop has selling qualification of selling each commodity; the illegal commodity determining system is used for determining illegal commodities sold by a merchant store and the number of illegal times; the store management system is used for managing a plurality of merchant stores; the beneficial effects of the invention are as follows: the method helps the consumer to determine whether the merchant store has selling qualification, so that the consumer can purchase the commodity more reliablely, and pirate commodity purchase is avoided; and the merchant shops selling the pirated commodities can be subjected to pause operation and punishment of the merchant shops for taking off the shelf, so that the rights and interests of consumers are protected, and the trust degree of the consumers on the electronic merchant big data platform is improved.
Description
Technical Field
The invention relates to the technical field of E-commerce big data analysis, in particular to an E-commerce big data platform based on a block chain.
Background
With the continuous development of internet technology, the electronic commerce industry has rapidly popularized and developed. The functions of the electronic commerce big data platform also become more diversified and intelligent, wherein one of the most obvious changes is deep analysis and personalized recommendation of purchase data. Through analysis of purchasing behavior, preference and historical data of consumers, the electronic commerce big data platform can know consumer demands more accurately, and personalized recommended products and services are provided for consumers. The personalized recommendation not only improves the experience of consumers, but also increases the convenience and satisfaction of purchasing. Through continuous optimization and utilization of big data analysis technology, the electronic commerce big data platform can better meet consumer demands, improves shopping experience, and therefore attracts more consumers and promotes the increase of transaction amount.
With the rise of big data platforms of electronic commerce, many merchants sell some pirated commodities, such as pirated books, pirated net lessons and the like, on the big data platforms of electronic commerce for the purpose of gaining benefits, so that the benefits of consumers are impaired; even pirated skin care products, pirated medicines and other commodities which are harmful to the health of consumers can appear.
However, most of the existing electronic commerce big data platforms do not judge whether a merchant shop selling goods is a brand side authorized shop or not, so that after a consumer purchases pirated goods, the consumer complains to the merchant through the electronic commerce big data platforms, so that the trust degree of the consumer to the electronic commerce big data platforms is reduced, and the development and long-term stability of the electronic commerce big data platforms are affected;
in addition, the existing electronic commerce big data platform is mostly free from suspending operation and punishment of the off-shelf merchant shops selling pirated commodities, and long-term existence of the merchant shops selling the pirated commodities can cause damage to the rights and interests of consumers, so that the trust degree of the consumers on the electronic commerce big data platform is reduced, and the development and long-term stability of the electronic commerce big data platform are affected.
Disclosure of Invention
The invention aims to provide a big data platform of an electronic commerce based on a block chain so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the electronic commerce big data platform based on the blockchain comprises a commodity grade determining system, a selling qualification determining system, a illegal commodity determining system, a store management system and an information supervision system;
The output end of the commodity grade determining system is connected with the input end of the store management system, the output end of the commodity grade determining system is connected with the input end of the information supervision system, the output end of the selling qualification determining system is connected with the input end of the illegal commodity determining system, the output end of the selling qualification determining system is connected with the input end of the information supervision system, the output end of the illegal commodity determining system is connected with the input end of the store management system, the output end of the illegal commodity determining system is connected with the input end of the information supervision system, and the output end of the store management system is connected with the input end of the information supervision system;
The commodity grade determining system is used for acquiring a plurality of injury events of each commodity through a big data technology, wherein each injury event corresponds to one injury grade respectively; weighting calculation is carried out on the injury grades corresponding to each injury event through a graph attention network, and grade category of each commodity is determined; the class of grades comprises a high grade, a medium grade and a low grade; the grade category is used for representing the injury degree of each commodity to consumers;
The selling qualification determining system is used for acquiring selling homepages of the commodities through big data technology; extracting information of the selling homepage through a natural language processing technology to obtain shop names and brand parties of each commodity; the system is also used for determining a plurality of authorized store names of each commodity according to the brand side of each commodity in a distributed crawler crawling mode; determining the selling qualification of each commodity according to the names of the plurality of authorized shops;
The illegal commodity determining system is used for determining whether each commodity is an illegal commodity according to the selling qualification of each commodity; and the method is also used for determining the number of violations that each merchant store sells the violating commodity; each merchant store includes a plurality of items;
the store management system is used for managing each merchant store according to the grade category of each commodity and the number of violations of each merchant store; the management mode for managing each merchant store comprises suspending business and placing the store on the shelf;
The information supervision system is used for constructing a supervision chain of the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system, and the supervision chain is used for supervising data of the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system.
Optionally, the commodity grade determining system includes:
the injury event acquisition module is used for acquiring a plurality of injury events of each commodity through the big data technology and determining the injury grade of each injury event; each commodity corresponds to a plurality of injury grades;
The weight distribution module is used for distributing weights to the injury levels corresponding to the commodities respectively through the drawing and annotating force network to obtain weights corresponding to the injury levels respectively;
The grade category determining module is used for calculating the average injury grade of the plurality of injury events according to the weight corresponding to each injury grade, and determining the grade category of each commodity according to the average injury grade.
Optionally, the vending qualification system comprises
The selling homepage acquisition module is used for acquiring selling homepages of the commodities through the big data technology;
The information extraction module is used for extracting information of the selling homepage through the natural language processing technology to obtain shop names and brand parties of each commodity;
The qualification determining module is used for determining a plurality of authorized shop names of each commodity according to the brand party of each commodity in the distributed crawler crawling mode; and comparing the shop names with the authorized shop names respectively to obtain comparison results, and determining the selling qualification of each commodity according to the comparison results.
Optionally, the system for determining the illegal commodity comprises
The illegal commodity determining module is used for determining whether each commodity is an illegal commodity according to the selling qualification of the commodity;
And the violation number determining module is used for determining the number of times that each merchant shop sells the violation commodity and determining the number of times as the violation number.
Optionally, the store management system comprises
A violation score determination module; the method comprises the steps of calculating the score of each merchant store according to the grade category of each commodity and the number of violations of each merchant store, and determining the violations of each merchant store;
and the management mode determining module is used for determining the management mode executed for each merchant store according to the violation score.
Optionally, the information supervision system comprises
The block construction module is used for constructing blocks respectively corresponding to the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system; determining a block corresponding to the commodity grade determining system as a commodity grade block; determining a block corresponding to the selling qualification determining system as a selling qualification block; determining a block corresponding to the illegal commodity determining system as an illegal commodity block; determining a block corresponding to the store management system as a store management mode block;
the chain of custody construction module is used for connecting the commodity grade block, the selling qualification block, the illegal commodity block and the store management mode block to construct the chain of custody;
and the information sharing module is used for uploading data to the chain of custody by the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system.
Optionally, in the injury event obtaining module, the obtaining a plurality of injury events of each commodity through a big data technology, and determining the injury level of each injury event specifically includes: firstly, communication data, commodity evaluation data and complaint data are obtained through the big data technology, wherein the communication data, the commodity evaluation data and the complaint data are all text data; extracting features of each injury event in the communication data, the commodity evaluation data and the complaint data by a natural language processing technology to respectively obtain each injury event in the communication data, the commodity evaluation data and the complaint data; finally, determining the injury level of each injury event and obtaining an injury characteristic vector representing the injury level of each injury event; the injury grades comprise a high injury grade, a medium injury grade and a low injury grade, the injury characteristic vector corresponding to the high injury grade is determined to be a first characteristic vector, the injury characteristic vector corresponding to the medium injury grade is determined to be a second characteristic vector, and the injury characteristic vector corresponding to the low injury grade is determined to be a third characteristic vector;
In the weight distribution module, the weight distribution is performed on the plurality of injury levels corresponding to each commodity through the graph annotation force network, so as to obtain weights corresponding to each injury level, specifically: constructing the injury characteristic vectors corresponding to the injury levels respectively into a graph structure, wherein the graph structure is composed of a plurality of nodes, and the injury characteristic vectors correspond to one node respectively; the attention mechanism is used for calculating the relation weight between every two of the nodes, distributing weights corresponding to the injury feature vectors respectively through the relation weight, and finally obtaining the weights corresponding to the injury grades respectively;
In the grade category determining module, according to the weight corresponding to each injury grade, calculating to obtain the average injury grade of the plurality of injury events, and according to the average injury grade, determining the grade category of each commodity, specifically: weighted average is carried out on the plurality of injury feature vectors and the weights corresponding to the injury feature vectors respectively to obtain average feature vectors representing average injury levels of the plurality of injury events, and each commodity corresponds to one average feature vector respectively; and calculating the similarity between the average feature vector and the first feature vector, the second feature vector and the third feature vector respectively through cosine similarity, and determining the injury level corresponding to the feature vector with the maximum similarity as the average feature vector.
Optionally, in the qualification determining module, the determining, by using the distributed crawler crawling manner, a plurality of authorized store names of each commodity according to the brand party of each commodity specifically includes: and acquiring authorized store information disclosed by the brand party on the network in the distributed crawler crawling mode, and determining a plurality of authorized store names of each commodity according to the authorized store information.
Optionally, the violation score determining module calculates the score of each merchant store according to the class of each commodity and the number of violations of each merchant store, and determines the violation score of each merchant store, which specifically includes: the grade scores corresponding to the different grade categories are different; the expression of the violation score is: Σ (a n×Bn), wherein a n is the rank score of the each commodity, and B n is the number of commodity violations of the each commodity; sigma B n is the number of violations of each merchant store, and the violation score is updated in real time;
The management mode determining module determines the management mode of each merchant store according to the violation score, specifically: executing the pause business to the merchant store when the violation score of the merchant store reaches a preset score; and when the pause business is executed for the merchant store for a preset number of times, the merchant store is executed for taking off the shelf.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Compared with the prior art, the invention has the beneficial effects that:
1. The selling qualification determining system is used for determining whether the sold commodity sold by the merchant store is authorized by the brand party or not, so that a consumer is helped to determine whether the merchant store is authorized to sell or not, the consumer can purchase the commodity more confidently, pirate commodity purchase is avoided, and the trust degree of the consumer on the electronic commerce big data platform is improved;
2. Through the illegal commodity determining system and the store management system, the store of the merchant selling the pirated commodity can be subjected to pause operation and punishment of the store of the merchant, so that the rights and interests of consumers are protected, and the trust degree of the consumers on the electronic commerce big data platform is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those skilled in the art from this disclosure that the drawings described below are merely exemplary and that other embodiments may be derived from the drawings provided without undue effort.
FIG. 1 is a block diagram of the overall system of the present invention;
FIG. 2 is a block diagram of a portion of the system of the present invention;
FIG. 3 is a second system block diagram of a portion of the present invention;
FIG. 4 is a block diagram III of a portion of the system of the present invention;
FIG. 5 is a block diagram of a portion of a system according to the present invention;
FIG. 6 is a block diagram of a portion of the system of the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus consistent with some aspects of the disclosure as detailed in the accompanying claims.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
1-6, The invention provides a block chain-based electronic commerce big data platform, which comprises a commodity grade determining system, a selling qualification determining system, a illegal commodity determining system, a store management system and an information supervision system;
The output end of the commodity grade determining system is connected with the input end of the store management system, the output end of the commodity grade determining system is connected with the input end of the information supervision system, the output end of the selling qualification determining system is connected with the input end of the illegal commodity determining system, the output end of the selling qualification determining system is connected with the input end of the information supervision system, the output end of the illegal commodity determining system is connected with the input end of the store management system, the output end of the illegal commodity determining system is connected with the input end of the information supervision system, and the output end of the store management system is connected with the input end of the information supervision system;
The commodity grade determining system is used for acquiring a plurality of injury events of each commodity through a big data technology, wherein each injury event corresponds to one injury grade respectively; weighting calculation is carried out on the injury grades corresponding to each injury event through a graph attention network, and grade category of each commodity is determined; the class of grades comprises a high grade, a medium grade and a low grade; the grade category is used for representing the injury degree of each commodity to consumers;
The selling qualification determining system is used for acquiring selling homepages of the commodities through big data technology; extracting information of the selling homepage through a natural language processing technology to obtain shop names and brand parties of each commodity; the system is also used for determining a plurality of authorized store names of each commodity according to the brand side of each commodity in a distributed crawler crawling mode; determining the selling qualification of each commodity according to the names of the plurality of authorized shops;
The illegal commodity determining system is used for determining whether each commodity is an illegal commodity according to the selling qualification of each commodity; and the method is also used for determining the number of violations that each merchant store sells the violating commodity; each merchant store includes a plurality of items;
the store management system is used for managing each merchant store according to the grade category of each commodity and the number of violations of each merchant store; the management mode for managing each merchant store comprises suspending business and placing the store on the shelf;
The information supervision system is used for constructing a supervision chain of the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system, and the supervision chain is used for supervising data of the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system.
Specifically, the output end of the commodity grade determining system is connected with the input end of the store management system, and the output end of the illegal commodity determining system is connected with the input end of the store management system, the commodity grade determining system sends the grade type of each commodity to the store management system, the illegal commodity determining system sends the illegal times of selling the illegal commodity to the store management system, and the store management system determines the management mode of each merchant store according to the grade type of each commodity and the illegal times of selling the illegal commodity by each merchant store; the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system are respectively connected with the information monitoring system, so that the monitoring of the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system data by the information monitoring system is realized, the accuracy and the safety of the system data are ensured, and meanwhile, the source and the flow direction of the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system data can be traced, the credibility of the data is improved, and the credibility and the reliability of the electronic commerce big data platform are improved;
The commodity grade determining system acquires a plurality of injury events of each commodity through a big data technology, wherein each injury event corresponds to one injury grade respectively; weighting calculation is carried out on the injury grades corresponding to each injury event through the graph attention network, and grade category of each commodity is determined; the class of grades includes high, medium and low grades; the grade category is used for representing the injury degree of each commodity to the consumer; the method comprises the steps of obtaining a plurality of injury events of each commodity through a big data technology, wherein the injury events are specifically as follows: acquiring communication data, commodity evaluation data and complaint data through a big data technology, wherein the communication data, the commodity evaluation data and the complaint data are text data; extracting features of each injury event in the communication data, the commodity evaluation data and the complaint data by using a natural language processing technology to respectively obtain each injury event in the communication data, the commodity evaluation data and the complaint data; by acquiring communication data, commodity evaluation data and complaint data, more comprehensive and multidimensional information can be obtained, more injury events can be extracted, and accuracy and comprehensiveness of determining grade category of each commodity are improved; by determining the grade category of each commodity, namely determining the damage degree of each commodity to consumers, more information about the quality and the safety of the commodity can be provided for the consumers, so that the consumers can know the potential risk of the commodity more accurately, and the safe and qualified commodity can be selected more certainly, thereby better guaranteeing the rights and interests of the consumers; the method can remind the merchant of paying attention to the quality of selling the commodity, and reduce the potential injury risk of the commodity, so that the quality level of selling the commodity by the merchant shop is improved, and the quality level of selling the commodity by the electronic merchant big data platform is improved; the method can also help the big data platform of the electronic commerce to better identify and prevent illegal commodities, and reduce the possibility of the illegal commodities laid on the shelf in a store of the merchant, thereby ensuring the compliance operation of the big data platform of the electronic commerce;
The selling qualification determining system acquires a selling homepage through a big data technology, wherein the selling homepage comprises information such as detailed description, price, pictures, comments, purchase options and the like of the commodity; the commodity related information is extracted from the selling homepage, so that the name and brand side of the shop selling the commodity can be obtained, and the selling qualification of the shop selling the commodity can be determined; the information of the selling homepage is extracted through a natural language processing technology, so that a seller and a brand party of the commodity can be identified, the accuracy of confirming the real source and the brand information of the commodity is improved, and the selling qualification of a merchant shop selling the commodity is helped to be determined; the method comprises the steps that through a distributed crawler crawling mode, a plurality of authorized store names of each commodity are determined according to brand sides of each commodity, and through a distributed crawler crawling technology, authorized store information of the commodity can be obtained from a plurality of channels, so that the comprehensiveness and accuracy of a sales channel are ensured, and the selling qualification of a merchant store selling the commodity is determined; in the prior art, most of the brands of the commodities are determined by a picture recognition technology, but the picture recognition technology is possibly influenced by factors such as picture quality, angle and the like, and the brands of the commodities are difficult to accurately recognize, so that the brands are determined by selling homepages instead of the brands by the picture recognition technology, and the obtained brands are ensured to be consistent with the actual sales conditions; the selling qualification of the commodity sold by the merchant shop can be determined by judging whether the shop names are consistent with the plurality of authorized shop names or not respectively, and if the shop names are different from the plurality of authorized shop names, the merchant shop does not sell the commodity; if the shop name is the same as any one of the authorized shop names, the merchant shop has the selling qualification of selling the commodity; by determining the selling qualification of selling the commodity by a merchant shop, the legitimacy and the authorization of commodity selling can be confirmed, infringement and counterfeiting can be avoided, and the consumption rights and interests of consumers are ensured, so that the safety and the credibility of consumers in the electronic commerce big data platform are improved; the selling qualification determining system is used for determining whether the sold commodity sold by the merchant store is authorized by the brand party or not, so that a consumer is helped to determine whether the merchant store is authorized to sell or not, the consumer can purchase the commodity more confidently, pirate commodity purchase is avoided, and the trust degree of the consumer on the electronic commerce big data platform is improved; the working mode solves the problems that in the prior art, whether a merchant shop selling goods is judged to be a brand side authorized shop or not is mostly not judged, so that after a consumer purchases pirated goods, the consumer complains to the merchant through the electronic commerce big data platform, the trust degree of the consumer to the electronic commerce big data platform is reduced, and the development and long-term stability of the electronic commerce big data platform are affected;
The illegal commodity determining system determines whether the commodity is an illegal commodity according to the selling qualification of each commodity, namely whether the commodity is the illegal commodity according to the selling qualification of the commodity sold by a merchant shop, and if the commodity is not sold by the merchant shop, the commodity is the illegal commodity; if the merchant store has the selling qualification of selling the commodity, the commodity is not illegal commodity; by determining whether the merchant shops sell illegal commodities, the risk that consumers purchase fake commodities can be reduced, and the shopping experience and the credibility of the consumers on the electronic merchant big data platform are improved; the method can also maintain the market competition order, prevent illegal merchants from disturbing the market order by means of counterfeit commodities and the like, promote the ordered development of the health of the market, protect the legal rights and interests of regular brands of commodities and prevent infringement from damaging brand images and market shares; the electronic commerce large data platform can be helped to optimize commodity management, commodity quality and brand image of the electronic commerce large data platform are improved, and a safer and more reliable shopping platform is provided for consumers; through determining the number of violations that each merchant store sells the offending commodity, the electronic merchant big data platform can formulate corresponding punishment measures according to the number of violations of the merchant stores, so that the business behavior of the merchant is standardized, and the healthy development of the electronic merchant big data platform is maintained; the serious attitudes of the electronic commerce big data platform to the illegal behaviors can be transferred to the consumers, the trust feeling of the consumers to the platform is enhanced, so that the credibility of the electronic commerce big data platform is improved, and the user growth and business development of the electronic commerce big data platform are promoted; the method can also enable the merchant to know own violation times, thereby having warning effect on the merchant, being more cautiously operated, avoiding the illegal behaviors and reducing the occurrence of illegal events; the electronic commerce big data platform can carry out statistics on the violation times of the merchants and can also carry out classification management on the merchants, so that stricter supervision measures are adopted for the merchants with more violation times, and the overall operation quality and compliance level of the merchants on the electronic commerce big data platform are improved;
The store management system is used for managing each merchant store according to the grade category of each commodity and the violation number of each merchant store; the management mode for managing each merchant store comprises the steps of suspending business and placing the store on shelf, and specifically comprises the following steps: according to the grade category of each commodity and the number of violations of each merchant store, calculating the score of each merchant store, and determining the violations score of each merchant store; determining a management mode executed for each merchant store according to the violation score; the calculation mode of the violation score is specifically that the grade score of each commodity is multiplied by the commodity violation times to obtain the commodity violation score of each commodity, and the commodity violation scores of each commodity sold by each merchant store are summed to obtain the violation score of each merchant store; the commodity violation score of each commodity is calculated respectively, and then the commodity violation scores of all commodities sold by the merchant shops are summed to obtain the violation score of the merchant shops, so that the violation conditions of the merchant shops, including the violation times and the grade influence of the illegal commodities, can be reflected more comprehensively; the grade scores corresponding to the different grade categories are different, so that different grades of commodities can be distinguished when the violation scores of the shops of the merchants are calculated, the severity of the violation conditions of the shops of the merchants is further highlighted, and the method is beneficial to more accurately evaluating the violation conditions of the shops of the merchants; through calculation of the violation score, punishment measures can be formulated in a targeted manner, more stringent measures are adopted for merchant stores with serious violation conditions, and corresponding warnings are given for merchant stores with light violation conditions, so that the management behaviors of merchants are standardized; the method can also evaluate the violation conditions of the merchant shops more quickly and accurately, thereby improving the supervision efficiency of the electronic merchant big data platform, finding and processing the violation conditions in time, and maintaining the order and reputation of the electronic merchant big data platform;
Through the illegal commodity determining system and the store management system, the store of the merchant selling the pirated commodity can be subjected to pause operation and punishment of the store of the merchant, so that the rights and interests of consumers are protected, and the trust degree of the consumers on the electronic commerce big data platform is improved; the working mode solves the problems that in the prior art, most of merchant shops selling pirated commodities are not subjected to pause operation and punishment of the merchant shops for taking off the shelf, and long-term existence of merchant shops selling the pirated commodities can cause damage to rights and interests of consumers, so that the trust degree of the consumers on an electronic merchant big data platform is reduced, and the development and long-term stability of the electronic merchant big data platform are affected;
The information supervision system is used for constructing a supervision chain of the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system through a blockchain technology, and supervising data of the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system through the supervision chain; the blockchain technology has the characteristics of decentralization, non-tampering, traceability and the like, and the blockchain technology is used for constructing a chain of custody, so that data on the chain of custody cannot be tampered once recorded, all data changes are recorded on the chain of custody, and the safety and non-tamper modification of the data are ensured through verification of a consensus mechanism; the chain of custody can also guarantee the integrity and traceability of the data, the supervision department can trace back the source and change condition of each piece of data, and the authenticity and credibility of the data are guaranteed; the block chain technology can realize the decentralized supervision, so that the data on the supervision chain is independent of a single central server, and the supervision department can jointly verify and record the data through a plurality of blocks, thereby reducing the possibility of single-point faults and data tampering; the supervision chain constructed by the block chain technology can realize real-time supervision and data synchronization, and a supervision department can acquire supervision data more quickly and accurately, so that the supervision efficiency is improved; and the supervision department can monitor the data in real time and timely discover illegal actions and take corresponding supervision measures, thereby promoting the compliance management of the merchant and the electronic commerce big data platform and improving the compliance consciousness of the merchant and the electronic commerce big data platform.
In one embodiment of the present invention, the commodity grade determination system includes:
the injury event acquisition module is used for acquiring a plurality of injury events of each commodity through the big data technology and determining the injury grade of each injury event; each commodity corresponds to a plurality of injury grades;
The weight distribution module is used for distributing weights to the injury levels corresponding to the commodities respectively through the drawing and annotating force network to obtain weights corresponding to the injury levels respectively;
The grade category determining module is used for calculating the average injury grade of the plurality of injury events according to the weight corresponding to each injury grade, and determining the grade category of each commodity according to the average injury grade.
Specifically, a plurality of injury events of each commodity are acquired, namely, the possible quality problems, potential safety hazards or other possible damage conditions to consumers of the commodity are acquired, so that the potential risks of the commodity can be comprehensively known, and the commodity is more comprehensively monitored and managed by the electronic commerce large data platform, so that the rights and interests of the consumers are ensured, and meanwhile, merchants can be assisted to improve the product quality and safety standard and the market competitiveness; the grade category of each commodity is determined through the injury grades corresponding to the injury events, and the commodity can be classified and rated, so that consumers can clearly know the quality and risk of the commodity; the consumers can also be helped to make intelligent shopping decisions; the commodity management system can help the electronic commerce big data platform to manage and manage commodities more precisely so as to ensure the consumer's consumption rights and interests and the reputation of the electronic commerce big data platform.
In one embodiment of the invention, the sales qualification system comprises
The selling homepage acquisition module is used for acquiring selling homepages of the commodities through the big data technology;
The information extraction module is used for extracting information of the selling homepage through the natural language processing technology to obtain shop names and brand parties of each commodity;
The qualification determining module is used for determining a plurality of authorized shop names of each commodity according to the brand party of each commodity in the distributed crawler crawling mode; and comparing the shop names with the authorized shop names respectively to obtain comparison results, and determining the selling qualification of each commodity according to the comparison results.
Specifically, acquiring a selling homepage through a big data technology, wherein the selling homepage comprises information such as detailed description, price, pictures, comments, purchase options and the like of the commodity; the commodity related information is extracted from the selling homepage, so that the name and brand side of the shop selling the commodity can be obtained, and the selling qualification of the shop selling the commodity can be determined; the information of the selling homepage is extracted through a natural language processing technology, so that a seller and a brand party of the commodity can be identified, the accuracy of confirming the real source and the brand information of the commodity is improved, and the selling qualification of a merchant shop selling the commodity is helped to be determined; the method has the advantages that the distributed crawler crawling mode is adopted, the names of the plurality of authorized stores of each commodity are determined according to the brand side of each commodity, the distributed crawler crawling technology is adopted to obtain the information of the authorized stores of the commodity from a plurality of channels, so that the comprehensiveness and the accuracy of the sales channels are ensured, and the selling qualification of the merchant stores selling the commodity is helped to be determined.
In one embodiment of the invention, the offensive commodity determination system comprises
The illegal commodity determining module is used for determining whether each commodity is an illegal commodity according to the selling qualification of the commodity;
And the violation number determining module is used for determining the number of times that each merchant shop sells the violation commodity and determining the number of times as the violation number.
Specifically, the illegal commodity determination module can rapidly and accurately identify the illegal commodity, so that measures are taken in time to process, and the rights and interests of consumers and the benefits of platforms are ensured; through the violation number determining module, the number of times that each merchant shop sells the violation commodity can be counted, and the electronic merchant big data platform can carry out corresponding punishment on the merchant shops according to the violation number, for example, punishment and management are carried out on merchant shops with excessive violation number, so that the compliance consciousness and behavior specification of merchants are improved, and the healthy development of the electronic merchant big data platform is promoted; through the statistical analysis of the illegal commodities and the illegal merchants, the electronic commerce big data platform can be helped to be optimized, so that the trust degree of consumers on the electronic commerce big data platform is improved.
In one embodiment of the present invention, the store management system comprises
A violation score determination module; the method comprises the steps of calculating the score of each merchant store according to the grade category of each commodity and the number of violations of each merchant store, and determining the violations of each merchant store;
and the management mode determining module is used for determining the management mode executed for each merchant store according to the violation score.
Specifically, through the violation score determining module, the electronic commerce big data platform can calculate the violation score of each merchant store according to the grade category of each commodity and the violation times of the merchant store, so that the compliance situation of the merchant store is objectively evaluated, the electronic commerce big data platform can timely identify the violation behaviors of the merchant store, and the supervision efficiency and the supervision accuracy of the electronic commerce big data platform are improved; through the management mode determining module, the electronic commerce big data platform can determine the management mode executed for each merchant store according to the violation score, and can pertinently adopt a corresponding management mode for the illegal merchant store, so that the operation behavior of the merchant store is effectively standardized, the good order and reputation of the electronic commerce big data platform are maintained, the management level of the electronic commerce big data platform is improved, the trust degree of consumers to the electronic commerce big data platform is improved, and the long-term development of the electronic commerce big data platform is promoted.
In one embodiment of the invention, the information management system comprises
The block construction module is used for constructing blocks respectively corresponding to the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system; determining a block corresponding to the commodity grade determining system as a commodity grade block; determining a block corresponding to the selling qualification determining system as a selling qualification block; determining a block corresponding to the illegal commodity determining system as an illegal commodity block; determining a block corresponding to the store management system as a store management mode block;
the chain of custody construction module is used for connecting the commodity grade block, the selling qualification block, the illegal commodity block and the store management mode block to construct the chain of custody;
and the information sharing module is used for uploading data to the chain of custody by the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system.
Specifically, through the block chain construction module, blocks corresponding to the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system are constructed, so that the information of the commodity grade, the selling qualification, the illegal commodity and the store management mode can be accurately recorded and managed, and false information and fraudulent behaviors can be effectively prevented; the chain of supervision construction module can link the commodity grade block, the selling qualification block, the illegal commodity block and the shop management mode block to form a complete chain of supervision, thereby realizing the comprehensive supervision and management of the electronic commerce big data platform; through the information sharing module, data sharing among the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system can be realized, the utilization efficiency and the accuracy of data are improved, and more reliable data support is provided for the large data platform of the electronic commerce; through the information supervision system, the data security, transparency and management efficiency of the electronic commerce big data platform can be improved.
In one embodiment of the present invention, in the injury event obtaining module, the obtaining a plurality of injury events of each commodity through big data technology, and determining the injury level of each injury event are specifically: firstly, communication data, commodity evaluation data and complaint data are obtained through the big data technology, wherein the communication data, the commodity evaluation data and the complaint data are all text data; extracting features of each injury event in the communication data, the commodity evaluation data and the complaint data by a natural language processing technology to respectively obtain each injury event in the communication data, the commodity evaluation data and the complaint data; finally, determining the injury level of each injury event and obtaining an injury characteristic vector representing the injury level of each injury event; the injury grades comprise a high injury grade, a medium injury grade and a low injury grade, the injury characteristic vector corresponding to the high injury grade is determined to be a first characteristic vector, the injury characteristic vector corresponding to the medium injury grade is determined to be a second characteristic vector, and the injury characteristic vector corresponding to the low injury grade is determined to be a third characteristic vector;
In the weight distribution module, the weight distribution is performed on the plurality of injury levels corresponding to each commodity through the graph annotation force network, so as to obtain weights corresponding to each injury level, specifically: constructing the injury characteristic vectors corresponding to the injury levels respectively into a graph structure, wherein the graph structure is composed of a plurality of nodes, and the injury characteristic vectors correspond to one node respectively; the attention mechanism is used for calculating the relation weight between every two of the nodes, distributing weights corresponding to the injury feature vectors respectively through the relation weight, and finally obtaining the weights corresponding to the injury grades respectively;
In the grade category determining module, according to the weight corresponding to each injury grade, calculating to obtain the average injury grade of the plurality of injury events, and according to the average injury grade, determining the grade category of each commodity, specifically: weighted average is carried out on the plurality of injury feature vectors and the weights corresponding to the injury feature vectors respectively to obtain average feature vectors representing average injury levels of the plurality of injury events, and each commodity corresponds to one average feature vector respectively; and calculating the similarity between the average feature vector and the first feature vector, the second feature vector and the third feature vector respectively through cosine similarity, and determining the injury level corresponding to the feature vector with the maximum similarity as the average feature vector.
Specifically, through the injury event acquisition module, the injury feature vector corresponding to the high injury level is determined to be a first feature vector, the injury feature vector corresponding to the medium injury level is determined to be a second feature vector, the injury feature vector corresponding to the low injury level is determined to be a third feature vector, and the injury events corresponding to different injury levels can be distinguished, so that the events of different injury levels can be analyzed and classified more accurately, and the accuracy of determining the class of each commodity is improved;
The weight distribution module is used for distributing weights to a plurality of injury grades through a graph attention network, so that the relation and the importance among different injury grades can be automatically learned, and proper weights are given to each injury grade, so that events of different injury grades can be more accurately evaluated and processed, the accuracy of determining grade categories of commodities is improved, the injury degree of each commodity to consumers is determined according to the grade categories, the consumer experience can be effectively improved, and the trust degree of a large data platform of an electronic commerce is improved;
The similarity between the average feature vector and the first feature vector, the second feature vector and the third feature vector is calculated through cosine similarity, and the feature vector which is most similar to the average feature vector is found through similarity comparison, so that the average injury grade of a plurality of injury events is determined, the accuracy of determining the grade category of each commodity is improved, more objective and accurate commodity evaluation standards are provided for the electronic commerce big data platform, and the trust degree and satisfaction degree of consumers on commodity quality and service provided by the electronic commerce big data platform are improved.
In one embodiment of the present invention, the qualification determining module determines, according to the brand party of each commodity, a plurality of authorized store names of each commodity by the distributed crawler crawling manner, specifically: and acquiring authorized store information disclosed by the brand party on the network in the distributed crawler crawling mode, and determining a plurality of authorized store names of each commodity according to the authorized store information.
Specifically, by means of a distributed crawler crawling mode, the authorized store information disclosed on the network can be obtained efficiently, and the speed and efficiency of data acquisition are improved; the distributed crawlers can be distributed on different servers, and can process a plurality of tasks, so that time and resources are saved; the distributed crawler also has high reliability and fault tolerance, can effectively cope with network interruption or other abnormal conditions, and ensures the integrity and accuracy of data; therefore, the distributed crawler crawling mode can acquire a plurality of authorized store names of each commodity more quickly and stably, and the efficiency and the accuracy of the qualification determining module for determining whether each merchant store sells the commodity with the selling qualification are improved.
In one embodiment of the present invention, the violation score determining module calculates a score of each merchant store according to the class of each commodity and the number of violations of each merchant store, and determines the violation score of each merchant store, specifically: the grade scores corresponding to the different grade categories are different; the expression of the violation score is: Σ (a n×Bn), wherein a n is the rank score of each commodity, B n is the commodity violation number of each commodity, and the violation score is updated in real time;
The management mode determining module determines the management mode of each merchant store according to the violation score, specifically: executing the pause business to the merchant store when the violation score of the merchant store reaches a preset score; and when the pause business is executed for the merchant store for a preset number of times, the merchant store is executed for taking off the shelf.
Specifically, through setting of the illegal score and execution of the management mode, the business operation behaviors of the merchant on the electronic commerce big data platform can be monitored and restrained, illegal merchants are prevented from obtaining benefits through illegal means, and legal rights and interests of consumers are guaranteed; and different management modes are executed according to different violation scores, and the electronic commerce big data platform can flexibly process different violation conditions according to merchant shops, so that the accuracy of the electronic commerce big data platform in managing merchant shops under different violation conditions is improved.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
The present invention and its embodiments have been described above with no limitation, and the embodiments of the present invention are shown in the drawings, and the actual content is not limited thereto, so that those skilled in the art, without departing from the spirit of the invention, should not creatively design similar structural means and examples to the technical solutions to fall within the protection scope of the present invention.
Claims (9)
1. The electronic commerce big data platform based on the blockchain is characterized by comprising a commodity grade determining system, a selling qualification determining system, a illegal commodity determining system, a store management system and an information supervision system;
The output end of the commodity grade determining system is connected with the input end of the store management system, the output end of the commodity grade determining system is connected with the input end of the information supervision system, the output end of the selling qualification determining system is connected with the input end of the illegal commodity determining system, the output end of the selling qualification determining system is connected with the input end of the information supervision system, the output end of the illegal commodity determining system is connected with the input end of the store management system, the output end of the illegal commodity determining system is connected with the input end of the information supervision system, and the output end of the store management system is connected with the input end of the information supervision system;
The commodity grade determining system is used for acquiring a plurality of injury events of each commodity through a big data technology, wherein each injury event corresponds to one injury grade respectively; weighting calculation is carried out on the injury grades corresponding to each injury event through a graph attention network, and grade category of each commodity is determined; the class of grades comprises a high grade, a medium grade and a low grade; the grade category is used for representing the injury degree of each commodity to consumers;
The selling qualification determining system is used for acquiring selling homepages of the commodities through big data technology; extracting information of the selling homepage through a natural language processing technology to obtain shop names and brand parties of each commodity; the system is also used for determining a plurality of authorized store names of each commodity according to the brand side of each commodity in a distributed crawler crawling mode; determining the selling qualification of each commodity according to the names of the plurality of authorized shops;
The illegal commodity determining system is used for determining whether each commodity is an illegal commodity according to the selling qualification of each commodity; and the method is also used for determining the number of violations that each merchant store sells the violating commodity; each merchant store includes a plurality of items;
the store management system is used for managing each merchant store according to the grade category of each commodity and the number of violations of each merchant store; the management mode for managing each merchant store comprises suspending business and placing the store on the shelf;
The information supervision system is used for constructing a supervision chain of the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system, and the supervision chain is used for supervising data of the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system.
2. The blockchain-based electronic commerce big data platform of claim 1, wherein the commodity rank determination system comprises:
the injury event acquisition module is used for acquiring a plurality of injury events of each commodity through the big data technology and determining the injury grade of each injury event; each commodity corresponds to a plurality of injury grades;
The weight distribution module is used for distributing weights to the injury levels corresponding to the commodities respectively through the drawing and annotating force network to obtain weights corresponding to the injury levels respectively;
The grade category determining module is used for calculating the average injury grade of the plurality of injury events according to the weight corresponding to each injury grade, and determining the grade category of each commodity according to the average injury grade.
3. The blockchain-based e-commerce big data platform of claim 2, wherein the vending qualification system comprises:
The selling homepage acquisition module is used for acquiring selling homepages of the commodities through the big data technology;
The information extraction module is used for extracting information of the selling homepage through the natural language processing technology to obtain shop names and brand parties of each commodity;
The qualification determining module is used for determining a plurality of authorized shop names of each commodity according to the brand party of each commodity in the distributed crawler crawling mode; and comparing the shop names with the authorized shop names respectively to obtain comparison results, and determining the selling qualification of each commodity according to the comparison results.
4. The blockchain-based electronic commerce big data platform of claim 3, wherein the offending commodity determination system comprises:
the illegal commodity determining module is used for determining whether each commodity is an illegal commodity according to the selling qualification of the commodity;
And the violation number determining module is used for determining the number of times that each merchant shop sells the violation commodity and determining the number of times as the violation number.
5. The blockchain-based electronic commerce big data platform of claim 4, wherein the store management system comprises:
A violation score determination module; the method comprises the steps of calculating the score of each merchant store according to the grade category of each commodity and the number of violations of each merchant store, and determining the violations of each merchant store;
and the management mode determining module is used for determining the management mode executed for each merchant store according to the violation score.
6. The blockchain-based electronic commerce big data platform of claim 5, wherein the information supervision system comprises:
The block construction module is used for constructing blocks respectively corresponding to the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system; determining a block corresponding to the commodity grade determining system as a commodity grade block; determining a block corresponding to the selling qualification determining system as a selling qualification block; determining a block corresponding to the illegal commodity determining system as an illegal commodity block; determining a block corresponding to the store management system as a store management mode block;
the chain of custody construction module is used for connecting the commodity grade block, the selling qualification block, the illegal commodity block and the store management mode block to construct the chain of custody;
and the information sharing module is used for uploading data to the chain of custody by the commodity grade determining system, the selling qualification determining system, the illegal commodity determining system and the store management system.
7. The big data platform of the electronic commerce based on the blockchain as in claim 6, wherein in the injury event acquisition module, the plurality of injury events of each commodity are acquired through big data technology, and the injury level of each injury event is determined, specifically: firstly, communication data, commodity evaluation data and complaint data are obtained through the big data technology, wherein the communication data, the commodity evaluation data and the complaint data are all text data; extracting features of each injury event in the communication data, the commodity evaluation data and the complaint data by a natural language processing technology to respectively obtain each injury event in the communication data, the commodity evaluation data and the complaint data; finally, determining the injury level of each injury event and obtaining an injury characteristic vector representing the injury level of each injury event; the injury grades comprise a high injury grade, a medium injury grade and a low injury grade, the injury characteristic vector corresponding to the high injury grade is determined to be a first characteristic vector, the injury characteristic vector corresponding to the medium injury grade is determined to be a second characteristic vector, and the injury characteristic vector corresponding to the low injury grade is determined to be a third characteristic vector;
In the weight distribution module, the weight distribution is performed on the plurality of injury levels corresponding to each commodity through the graph annotation force network, so as to obtain weights corresponding to each injury level, specifically: constructing the injury characteristic vectors corresponding to the injury levels respectively into a graph structure, wherein the graph structure is composed of a plurality of nodes, and the injury characteristic vectors correspond to one node respectively; the attention mechanism is used for calculating the relation weight between every two of the nodes, distributing weights corresponding to the injury feature vectors respectively through the relation weight, and finally obtaining the weights corresponding to the injury grades respectively;
In the grade category determining module, according to the weight corresponding to each injury grade, calculating to obtain the average injury grade of the plurality of injury events, and according to the average injury grade, determining the grade category of each commodity, specifically: weighted average is carried out on the plurality of injury feature vectors and weights corresponding to the injury feature vectors respectively to obtain average feature vectors representing the plurality of injury events, and each commodity corresponds to one average feature vector respectively; and calculating the similarity between the average feature vector and the first feature vector, the second feature vector and the third feature vector respectively through cosine similarity, and determining the injury level corresponding to the feature vector with the maximum similarity as the average injury level.
8. The electronic commerce big data platform based on the blockchain of claim 7, wherein the qualification determining module determines a plurality of authorized store names of each commodity according to the brand party of each commodity through the distributed crawler crawling manner, specifically: and acquiring authorized store information disclosed by the brand party on the network in the distributed crawler crawling mode, and determining a plurality of authorized store names of each commodity according to the authorized store information.
9. The electronic commerce big data platform based on the blockchain of claim 8, wherein the violation score determining module calculates the score of each merchant store according to the class category of each commodity and the number of violations of each merchant store, and determines the violation score of each merchant store, specifically: the grade scores corresponding to the different grade categories are different; the expression of the violation score is: Σ (a n×Bn), wherein a n is the rank score of each commodity, B n is the commodity violation number of each commodity, and the violation score is updated in real time;
The management mode determining module determines the management mode of each merchant store according to the violation score, specifically: executing the pause business to the merchant store when the violation score of the merchant store reaches a preset score; and when the pause business is executed for the merchant store for a preset number of times, the merchant store is executed for taking off the shelf.
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