CN113657974B - Electronic commercial transaction management method and system based on cloud platform - Google Patents

Electronic commercial transaction management method and system based on cloud platform Download PDF

Info

Publication number
CN113657974B
CN113657974B CN202111023946.6A CN202111023946A CN113657974B CN 113657974 B CN113657974 B CN 113657974B CN 202111023946 A CN202111023946 A CN 202111023946A CN 113657974 B CN113657974 B CN 113657974B
Authority
CN
China
Prior art keywords
commodity
obtaining
result
information
image
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202111023946.6A
Other languages
Chinese (zh)
Other versions
CN113657974A (en
Inventor
请求不公布姓名
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wanquan Speed Dating Network Technology Co ltd
Original Assignee
Wanquan Speed Dating Network Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wanquan Speed Dating Network Technology Co ltd filed Critical Wanquan Speed Dating Network Technology Co ltd
Priority to CN202111023946.6A priority Critical patent/CN113657974B/en
Publication of CN113657974A publication Critical patent/CN113657974A/en
Application granted granted Critical
Publication of CN113657974B publication Critical patent/CN113657974B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0641Shopping interfaces
    • G06Q30/0643Graphical representation of items or shoppers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0623Item investigation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Abstract

The invention discloses an electronic commercial transaction management method and system based on a cloud platform, which acquire first commodity information; obtaining a first image, obtaining the first commodity, obtaining a second image of the first commodity, and obtaining a first integrity analysis result; obtaining a first color matching degree result; obtaining first-class commodity information and second-class commodity information; determining a classification result of the first commodity information according to the first commodity information and the second commodity information; performing weight distribution on the integrity and the color according to the classification result, and performing weighted calculation according to the weight distribution result to obtain a second integrity analysis result and a second color matching result; obtaining a first evaluation result; and managing the first client according to the first evaluation result. The technical problems that in the prior art, a platform lacks of checking the propaganda information of retailers or is inaccurate in checking, so that consumers obtain false information and purchase experience is poor are solved.

Description

Electronic commercial transaction management method and system based on cloud platform
Technical Field
The invention relates to the field of electronic business management, in particular to a cloud platform-based electronic business transaction management method and system.
Background
Electronic commerce refers to online transactions, i.e., the buying and selling of goods based on an internet platform. The electronic commerce brings the most direct circulation channel for each commodity, the manufacturer can directly send the commodity to the customer, and the most valuable demand information can be obtained from the customer, so that the 'close' service is truly realized. But the information available to the consumer in the online purchasing process is only the commodity introduction and related pictures published on the network by the retailer, and the reliability of the information cannot be checked more intuitively.
However, in the process of implementing the technical scheme of the invention in the embodiment of the application, the inventor of the application finds that at least the following technical problems exist in the above technology:
in the prior art, the platform lacks of checking the propaganda information of retailers or is inaccurate in checking, so that consumers obtain false information, and the technical problem of poor purchasing experience is solved.
Disclosure of Invention
According to the cloud platform-based electronic business transaction management method and system, the technical problems that in the prior art, the platform lacks of verifying the propaganda information of retailers or is inaccurate in verification, so that consumers obtain false information and purchase experience is poor are solved, the purposes that goods of the retailers and the propaganda information are accurately verified through the cloud platform are achieved, the authenticity of the propaganda information is improved, and then the technical effect of shopping experience of the consumers is improved.
In view of the above problems, embodiments of the present application provide a cloud platform-based electronic business transaction management method and system.
In a first aspect, the present application further provides a cloud platform-based electronic business transaction management method, where the method is applied to a cloud platform transaction management system, and the system is communicatively connected to a first client, and the method includes: acquiring first commodity information through the first client; obtaining a first image according to the first commodity information, wherein the first image is the first commodity display picture; obtaining the first commodity through the first client and obtaining a second image of the first commodity, wherein the second image is an image of the first commodity under standard conditions; carrying out integrity analysis on the first image and the second image to obtain a first integrity analysis result; performing color matching value analysis on the first image and the second image to obtain a first color matching degree result; obtaining first-class commodity information and second-class commodity information; obtaining first attribute information according to the first category commodity information, wherein the first attribute information is obtained through a single-angle picture; obtaining second attribute information according to the second category commodity information, wherein the second attribute information is obtained through a multi-angle picture; determining a classification result of the first commodity information according to the first commodity information and the second commodity information; performing weight value distribution on the integrity and the color according to the classification result to obtain a first weight value distribution result, wherein the first weight value distribution result comprises a first integrity weight value and a first color weight value; respectively carrying out weighted calculation on the first integrity analysis result and the first color matching degree result according to the first integrity weight value and the first color weight value to obtain a second integrity analysis result and a second color matching degree result; obtaining a first evaluation result of the first client according to the second integrity analysis result and the second color matching result; and managing the first client according to the first evaluation result.
In another aspect, the present application further provides a cloud platform-based electronic commercial transaction management system, where the system includes: the first obtaining unit is used for obtaining first commodity information through a first client; the second obtaining unit is used for obtaining a first image according to the first commodity information, wherein the first image is the first commodity display picture; a third obtaining unit, configured to obtain, by using the first client, the first commodity, and obtain a second image of the first commodity, where the second image is an image of the first commodity under a standard condition; the fourth obtaining unit is used for carrying out integrity analysis on the first image and the second image to obtain a first integrity analysis result; a fifth obtaining unit, configured to perform color matching value analysis on the first image and the second image, to obtain a first color matching result; a sixth obtaining unit, configured to obtain first category commodity information and second category commodity information; a seventh obtaining unit, configured to obtain first attribute information according to the first category commodity information, where the first attribute information is obtained through a single angle screen; an eighth obtaining unit, configured to obtain second attribute information according to the second category commodity information, where the second attribute information is obtained through a multi-angle screen; the first determining unit is used for determining a classification result of the first commodity information according to the first commodity information and the second commodity information; a ninth obtaining unit, configured to perform weight value allocation on the integrity and the color according to the classification result, to obtain a first weight value allocation result, where the first weight value allocation result includes a first integrity weight value and a first color weight value; a tenth obtaining unit, configured to perform weighted calculation on the first integrity analysis result and the first color matching degree result according to the first integrity weight value and the first color weight value, to obtain a second integrity analysis result and a second color matching degree result; an eleventh obtaining unit, configured to obtain a first evaluation result of the first client according to the second integrity analysis result and the second color matching result; and the first management unit is used for managing the first client according to the first evaluation result.
In a third aspect, the present invention provides a cloud platform-based electronic commerce transaction management system, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
the method comprises the steps of obtaining first commodity information through a first client, obtaining a display image of a first commodity, obtaining a second image of the first commodity under standard conditions through a first commodity physical image, carrying out integrity analysis and color matching value analysis according to the first image and the second image, obtaining first attribute information according to first class commodities, likewise obtaining second attribute information of second class commodity information, determining a classification result of the first commodity according to the first class commodity information and the second class commodity information, carrying out weight value ratio distribution on the integrity and the color according to the classification result, carrying out weighted calculation on the first integrity analysis result and the first color matching result according to the classification result, obtaining a second integrity analysis result and a second color matching result, obtaining a first evaluation result of the first client according to the second integrity analysis result and the second color matching result, managing the first client according to the first evaluation result, carrying out weight value ratio distribution on the integrity and the color matching result, and further improving the shopping experience of the consumer, thereby improving the accuracy of the commodity display image.
The foregoing description is only an overview of the technical solutions of the present application, and may be implemented according to the content of the specification in order to make the technical means of the present application more clearly understood, and in order to make the above-mentioned and other objects, features and advantages of the present application more clearly understood, the following detailed description of the present application will be given.
Drawings
Fig. 1 is a schematic flow chart of an electronic business transaction management method based on a cloud platform according to an embodiment of the application;
fig. 2 is a schematic structural diagram of an electronic business transaction management method based on a cloud platform according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Reference numerals illustrate: the first obtaining unit 11, the second obtaining unit 12, the third obtaining unit 13, the fourth obtaining unit 14, the fifth obtaining unit 15, the sixth obtaining unit 16, the seventh obtaining unit 17, the eighth obtaining unit 18, the first determining unit 19, the ninth obtaining unit 20, the tenth obtaining unit 21, the eleventh obtaining unit 22, the first managing unit 23, the bus 300, the receiver 301, the processor 302, the transmitter 303, the memory 304, the bus interface 305.
Detailed Description
According to the cloud platform-based electronic business transaction management method and system, the technical problems that in the prior art, the platform lacks of verifying the propaganda information of retailers or is inaccurate in verification, so that consumers obtain false information and purchase experience is poor are solved, the purposes that goods of the retailers and the propaganda information are accurately verified through the cloud platform are achieved, the authenticity of the propaganda information is improved, and then the technical effect of shopping experience of the consumers is improved. Hereinafter, example embodiments according to the present application will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application and not all of the embodiments of the present application, and it should be understood that the present application is not limited by the example embodiments described herein.
Summary of the application
Electronic commerce refers to online transactions, i.e., the buying and selling of goods based on an internet platform. The electronic commerce brings the most direct circulation channel for each commodity, the manufacturer can directly send the commodity to the customer, and the most valuable demand information can be obtained from the customer, so that the 'close' service is truly realized. But the information available to the consumer in the online purchasing process is only the commodity introduction and related pictures published on the network by the retailer, and the reliability of the information cannot be checked more intuitively. In the prior art, the platform lacks of checking the propaganda information of retailers or is inaccurate in checking, so that consumers obtain false information, and the technical problem of poor purchasing experience is solved.
Aiming at the technical problems, the technical scheme provided by the application has the following overall thought:
the embodiment of the application provides a cloud platform-based electronic business transaction management method, which is applied to a cloud platform transaction management system, wherein the system is in communication connection with a first client, and the method comprises the following steps: acquiring first commodity information through the first client; obtaining a first image according to the first commodity information, wherein the first image is the first commodity display picture; obtaining the first commodity through the first client and obtaining a second image of the first commodity, wherein the second image is an image of the first commodity under standard conditions; carrying out integrity analysis on the first image and the second image to obtain a first integrity analysis result; performing color matching value analysis on the first image and the second image to obtain a first color matching degree result; obtaining first-class commodity information and second-class commodity information; obtaining first attribute information according to the first category commodity information, wherein the first attribute information is obtained through a single-angle picture; obtaining second attribute information according to the second category commodity information, wherein the second attribute information is obtained through a multi-angle picture; determining a classification result of the first commodity information according to the first commodity information and the second commodity information; performing weight value distribution on the integrity and the color according to the classification result to obtain a first weight value distribution result, wherein the first weight value distribution result comprises a first integrity weight value and a first color weight value; respectively carrying out weighted calculation on the first integrity analysis result and the first color matching degree result according to the first integrity weight value and the first color weight value to obtain a second integrity analysis result and a second color matching degree result; obtaining a first evaluation result of the first client according to the second integrity analysis result and the second color matching result; and managing the first client according to the first evaluation result.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides a cloud platform-based electronic business transaction management method, where the method is applied to a cloud platform transaction management system, and the system is communicatively connected to a first client, and the method includes:
step S100: acquiring first commodity information through the first client;
step S200: obtaining a first image according to the first commodity information, wherein the first image is the first commodity display image;
specifically, the cloud transaction management platform is a platform for checking, managing, designing and evaluating transaction information, the platform is in communication connection with a client, the client is a merchant client, the cloud transaction platform obtains first commodity information operated by the first client through the first client, and the first commodity information comprises a propaganda image set of the first client propaganda commodity, namely the first image.
Step S300: obtaining the first commodity through the first client and obtaining a second image of the first commodity, wherein the second image is an image of the first commodity under standard conditions;
Specifically, the cloud transaction management platform obtains the first commodity through the first client, and the obtaining mode can be purchasing the commodity or asking the first client, and attention is paid to the fact that the commodity to be evaluated is guaranteed to be true. And photographing the first commodity to obtain a second image. Further, the process of obtaining the second image further includes a standard condition setting process, that is, according to the different types of the first commodity, obtaining unique photographing standard conditions corresponding to the different types of the commodity, and obtaining an image set including the first commodity, that is, the second image, under the standard conditions corresponding to the first commodity.
Step S400: carrying out integrity analysis on the first image and the second image to obtain a first integrity analysis result;
specifically, the integrity analysis is an analysis of an integrity presentation result of the propaganda diagram of the first client, which reflects the structural description of the first image on the first commodity, and according to the first image advertised by the first client and the second image acquired by the first commodity under standard conditions, a first integrity analysis result is obtained, and through the integrity analysis, the phenomena of structural defects occurring in merchants and false propaganda on the position of the defects intentionally covered can be avoided. For example, some commercial products sold by merchants are jeans, and the promotional graphics modify the jeans to become leg-slimming jeans, which is one of the conditions of large deviation of integrity.
Step S500: performing color matching value analysis on the first image and the second image to obtain a first color matching degree result;
specifically, the color matching degree result is a result of analysis of the difference condition of the colors of the merchant advertisement images. In the current stage, commercial products are purchased in full view, in order to promote the commercial products, the application of filters and P pictures is endless, and partial commercial pictures are manually colored by some commercial products to attract customers. And comparing the propaganda picture of the first client with a second image under the standard condition to obtain a color matching degree result of the first image and the second image. The color matching degree result not only reflects the matching condition of the integral color matching of the first image and the second image, but also comprises the color difference condition of the corresponding color area.
Step S600: obtaining first-class commodity information and second-class commodity information;
step S700: obtaining first attribute information according to the first category commodity information, wherein the first attribute information is obtained through a single-angle picture;
step S800: obtaining second attribute information according to the second category commodity information, wherein the second attribute information is obtained through a multi-angle picture;
Specifically, the first commodity category and the second commodity category are different commodity categories, wherein the first commodity category comprises commodities with attribute information obtained through single-angle images, namely, the first commodity category has a simple structure, accurate structure description can be carried out through the single-angle images, the second commodity category comprises commodities with attribute information obtained through multi-angle images, namely, the second commodity category has a complex structure, the structure description can be carried out completely through at least 2-angle images, and further, the first commodity category and the second commodity category reflect the importance degree of the structure information on the commodities of different categories, namely, when the commodities are the commodities of the second category, the importance degree of the integrity of the structure information is higher than that of the commodities of the first category.
Step S900: determining a classification result of the first commodity information according to the first commodity information and the second commodity information;
step S1000: performing weight value distribution on the integrity and the color according to the classification result to obtain a first weight value distribution result, wherein the first weight value distribution result comprises a first integrity weight value and a first color weight value;
Specifically, determining a classification result of the first commodity, namely judging whether the first commodity belongs to a first class commodity or a second class commodity, obtaining importance degree of structural information on the first commodity according to the judgment result, obtaining attribute information of the first commodity according to the classification result of the first commodity, and distributing weight values to the integrity and the color based on the attribute information, wherein the distribution result of the weight values comprises a first integrity weight value and a first color weight value, and the sum of the first integrity weight value and the first color weight value is 1.
Step S1100: respectively carrying out weighted calculation on the first integrity analysis result and the first color matching degree result according to the first integrity weight value and the first color weight value to obtain a second integrity analysis result and a second color matching degree result;
step S1200: obtaining a first evaluation result of the first client according to the second integrity analysis result and the second color matching result;
step S1300: and managing the first client according to the first evaluation result.
Specifically, the first integrity analysis result and the first color matching result are weighted according to the distribution result of the weight values of the colors and the integrity, namely, the first integrity analysis result is weighted according to the first integrity weight value, and a second integrity analysis result is obtained; and carrying out weighted calculation on the first color matching degree result according to the first color weight value to obtain a second color matching degree result. And evaluating the first commodity propaganda condition of the first client according to the calculated second integrity analysis result and the second color matching degree result to obtain a first evaluation result of the first client. And evaluating and managing whether the first client side performs false propaganda or not according to the first evaluation result, so that the image of the commodity displayed by the first client side is accurately checked, the authenticity of propaganda information is improved, and the technical effect of shopping experience of consumers is further improved.
Further, the performing integrity analysis on the first image and the second image to obtain a first integrity analysis result, and step S400 in the embodiment of the present application further includes:
Step S410: obtaining first position information of a first component through the second image;
step S420: obtaining a first duty cycle relationship of the first component in the second image;
step S430: obtaining second position information of the first component through the first image;
step S440: obtaining a second duty cycle relationship of the first component in the first image;
step S450: obtaining a first position offset according to the first position relation and the second position relation;
step S460: obtaining a first duty ratio deviation value according to the first duty ratio relation and the second duty ratio relation;
step S470: and obtaining the first integrity analysis result according to the first position deviation degree and the first duty ratio deviation value.
Specifically, the first component is a component of the first commodity, the first position information of the first component is obtained through the second image information, the first position is a relative position of the first component in the first commodity, further, the first component can be constructed according to a coordinate system of the first commodity, coordinate information of a certain correction point of the first component is obtained, a first duty ratio relation of the first component in the second image is information reflecting a size relation of the first component relative to the first commodity, similarly, the second position relation information and the second duty ratio relation information of the first component in the first image are obtained through the first image information of the first commodity, a first position deviation degree is obtained according to the first position relation and the second position relation, the first position deviation degree reflects a deviation degree of the first component in a graph and an actual position of the first commodity, and a first duty ratio deviation value reflects a first position deviation degree of the first component in the graph and a first actual position of the first commodity is obtained according to the first duty ratio relation and the second duty ratio relation. And obtaining the first integrity analysis result according to the first position deviation degree and the first duty ratio deviation value. Through the analysis of the position information and the duty ratio information of the parts of the first commodity, the comparison analysis of the propaganda picture and the physical picture of the first commodity is more comprehensive, and further a more accurate integrity analysis result is obtained, so that the image of the displayed commodity is accurately checked for the follow-up, the authenticity of the propaganda information is improved, and the shopping experience tamped basis of consumers is improved.
Further, the step S470 of the embodiment of the present application further includes:
step S471: obtaining first characteristic information of the first commodity;
step S472: obtaining a first influence degree and a second influence degree of the first component and the first feature, wherein the first influence degree is the influence degree of the position deviation of the first component, and the second influence degree is the influence degree of the duty ratio deviation of the first component;
step S473: weighting calculation is carried out on the first position deviation degree according to the first influence degree, and a second position deviation degree is obtained;
step S474: weighting calculation is carried out on the first duty ratio deviation value according to the second influence degree, and a second duty ratio deviation value is obtained;
step S475: and obtaining the first integrity analysis result according to the second position deviation degree and the second duty ratio deviation value.
Specifically, the first feature is a representative feature of the first commodity, and the product feature is a feature formed by the construction of the product itself, generally refers to the shape, quality, function, trademark, packaging, etc. of the product, and reflects the attractiveness of the product to the consumer. Product characteristics are the primary stimulus that affects consumer cognition, emotion and behavior. These features are evaluated by virtue of the value, beliefs, and past experience that the consumer has itself. And obtaining a first influence degree and a second influence degree according to the first component and the first feature, wherein the first influence degree is the influence degree of the position deviation of the first component on the first feature, the second influence degree is the influence degree of the deviation condition of the duty ratio of the first component on the first feature, the first position deviation degree and the first duty ratio deviation value are subjected to weighted calculation according to the first influence degree and the second influence degree, and a second position deviation degree and a second duty ratio deviation value are obtained, and the first integrity analysis result is obtained according to the second position deviation degree and the second duty ratio deviation value. The weighted calculation is carried out on the influence condition of the position deviation degree and the duty ratio deviation value of the first component on the first commodity characteristics, so that a propaganda integrity analysis result which reflects that the first commodity characteristics are influenced more accurately can be obtained, the image of the displayed commodity is checked accurately for the follow-up, the authenticity of propaganda information is improved, and the shopping experience tamping basis of consumers is improved.
Further, the embodiment of the application further includes:
step S1410: obtaining a first browsing amount and a first ordering amount of the first commodity in a first time period;
step S1420: obtaining a first evaluation value according to the first browsing amount and the first ordering amount;
step S1430: obtaining a second browsing amount and a second ordering amount of the first commodity in a second time period;
step S1440: obtaining a second evaluation value according to the second browsing amount and the second order amount;
step S1450: obtaining a first association degree between the first time period and the second time period according to the first commodity information;
step S1460: and obtaining a first adjustment scheme according to the first association degree, the first evaluation value and the second evaluation value, and sending the first adjustment scheme to the first client.
Specifically, the first time period and the second time period are time periods including the same duration, and the first time period and the second time period have no specificity, i.e., the time period does not include a special period such as twenty-one, and the duration included in the time period can be defined by itself, and the duration is at least one week. Obtaining a first browsing amount and a first ordering amount of the first commodity in a first time period, wherein the first browsing amount is the browsing total amount of the first commodity in the first period, the first ordering amount is the ordering total amount of the first commodity in the first period, and the first evaluation value is the ratio of the first ordering amount to the first browsing amount; and similarly, after the second period is the first period, obtaining a second evaluation value under the second period, obtaining a first association degree according to the first period and the second period, wherein the first association degree is the association degree between the first period and the second period, the association degree can comprise a seasonal change association degree, and according to the association degree between the first period and the second period, the first evaluation value and the change condition of the second evaluation value, carrying out scheme planning on the investment strength of the first client for propaganda and quality, sending the scheme planning to the first client, and helping the first client to carry out investment adjustment according to market change.
Further, the embodiment of the application further includes:
step S1461: obtaining a browsing amount change value according to the first browsing amount and the second browsing amount;
step S1462: obtaining a change value of the order quantity according to the first order quantity and the second order quantity;
step S1463: obtaining a first fund distribution scheme according to the browsing amount change value and the order amount change value;
step S1464: and sending the first fund distribution scheme to the first client.
Specifically, a change value of a browsing amount is obtained according to the first browsing amount and the second browsing amount, a change value of a placing amount is obtained according to the first placing amount and the second placing amount, wherein the change value of the browsing amount is a change value reflecting the interested condition of a customer for a commodity, the change value of the placing amount is a change value reflecting the approval condition of the customer for the commodity, a point of the first client needing to carry out fund distribution is identified according to the change value of the browsing amount and the change value of the placing amount, and a emphasis scheme of first fund distribution is obtained, for example, when the browsing amount is obviously reduced, the commodity attractive force of the first client is indicated to be insufficient, the novelty investment of the commodity is required to be increased, when the browsing amount is increased, the placing amount is reduced, the approval condition of the customer for the quality of the client is indicated to be not high, the investment strength is required to be increased, and the first fund distribution scheme is sent to the first client.
Further, the step S1200 in this embodiment of the present application further includes:
step S1210: inputting the second completeness analysis result and the second color matching degree result into a matching degree analysis model, wherein the matching degree analysis model is obtained through training of multiple sets of training data, and each set of the multiple sets of training data comprises: the second integrity analysis result, the matching degree result and the identification information for identifying the first result;
step S1220: and obtaining an output result of the matching degree analysis model, wherein the output result comprises the first evaluation result.
Specifically, the matching degree analysis model is a neural network model in machine learning, and the neural network is a complex neural network system formed by widely interconnecting a large number of simple neurons, reflects a plurality of basic characteristics of human brain functions, and is a highly complex nonlinear power learning system. The neural network model is described based on a mathematical model of neurons. An artificial neural network is a description of the first order nature of the human brain system. In brief, it is a mathematical model. And inputting the second integrity analysis result and the second color matching degree result into a neural network model through training of a large amount of training data, and obtaining the first evaluation result.
Furthermore, the training process further includes a supervised learning process, each set of supervision data includes the second integrity analysis result, the matching degree result and identification information for identifying the first result, the second integrity analysis result and the second color matching degree result are input into a neural network model, and the neural network model performs continuous self-correction and adjustment according to the identification information for identifying the first result until the obtained output result is consistent with the identification information, and the set of data supervised learning is ended to perform the next set of data supervised learning; and when the output information of the neural network model reaches the preset accuracy rate/reaches a convergence state, ending the supervised learning process. Through the supervised learning of the neural network model, the neural network model is enabled to process the input information more accurately, a more accurate first evaluation result is obtained, and a foundation is tamped for accurate commodity transaction control management in the follow-up process.
Further, the managing the first client according to the first evaluation result, in this embodiment, step S1300 further includes:
Step S1310: obtaining a second evaluation result, wherein the second evaluation result is an evaluation result of a second commodity of the first client;
step S1320: obtaining a third evaluation result according to the first evaluation result and the second evaluation result, wherein the third evaluation result is an average value of the first evaluation result and the second evaluation result;
step S1330: obtaining a first preset evaluation result threshold;
step S1340: judging whether the third evaluation result meets the first preset evaluation result threshold value or not;
step S1350: when the third evaluation result does not meet the first preset evaluation result threshold value, first rectification information is obtained;
step S1360: and sending the first correction information to the first client.
Specifically, the second evaluation result is an evaluation result of the second commodity of the first client obtained by the method, and other commodities of the first client are evaluated to obtain other evaluation results, and an evaluation average value, namely the third evaluation result, is obtained according to the evaluation results. And manually setting a preset evaluation result threshold through big data or collecting related data, judging whether the third evaluation result meets the first preset evaluation result threshold, when the third evaluation result does not meet the first preset evaluation result threshold, obtaining first correction information, indicating that the average value of the credibility of the commodity sold by the first client is lower than the preset threshold, obtaining correction information at the moment, sending the correction information to the first client, and reminding the first client of carrying out correction.
In summary, the method and the system for electronic business transaction management based on the cloud platform provided by the embodiment of the application have the following technical effects:
1. the method comprises the steps of obtaining first commodity information through a first client, obtaining a display image of a first commodity, obtaining a second image of the first commodity under standard conditions through a first commodity physical image, carrying out integrity analysis and color matching value analysis according to the first image and the second image, obtaining first attribute information according to first class commodities, likewise obtaining second attribute information of second class commodity information, determining a classification result of the first commodity according to the first class commodity information and the second class commodity information, carrying out weight value ratio distribution on the integrity and the color according to the classification result, carrying out weighted calculation on the first integrity analysis result and the first color matching result according to the classification result, obtaining a second integrity analysis result and a second color matching result, obtaining a first evaluation result of the first client according to the second integrity analysis result and the second color matching result, managing the first client according to the first evaluation result, carrying out weight value ratio distribution on the integrity and the color matching result, and further improving the shopping experience of the consumer, thereby improving the accuracy of the commodity display image.
2. By analyzing the position information and the duty ratio information of the parts of the first commodity, the comparison analysis of the propaganda diagram and the physical diagram of the first commodity is more comprehensive, so that a more accurate integrity analysis result is obtained, the image of the displayed commodity is accurately checked for the follow-up, the authenticity of the propaganda information is improved, and the shopping experience tamping basis of consumers is improved.
Example two
Based on the same inventive concept as the cloud platform-based electronic commercial transaction management method in the foregoing embodiment, the present invention further provides a cloud platform-based electronic commercial transaction management system, as shown in fig. 2, where the system includes:
a first obtaining unit 11, where the first obtaining unit 11 is configured to obtain first commodity information through a first client;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain a first image according to the first merchandise information, where the first image is the first merchandise display picture;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain, by using the first client, the first commodity, and obtain a second image of the first commodity, where the second image is an image of the first commodity under standard conditions;
A fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to perform integrity analysis on the first image and the second image to obtain a first integrity analysis result;
a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to perform color matching value analysis on the first image and the second image, to obtain a first color matching result;
a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to obtain first category commodity information and obtain second category commodity information;
a seventh obtaining unit 17, where the seventh obtaining unit 17 is configured to obtain first attribute information according to the first category commodity information, where the first attribute information is obtained through a single angle screen;
an eighth obtaining unit 18, where the eighth obtaining unit 18 is configured to obtain second attribute information according to the second category commodity information, where the second attribute information is obtained through a multi-angle screen;
a first determining unit 19, where the first determining unit 19 is configured to determine a classification result of the first commodity information according to the first class commodity information and the second class commodity information;
a ninth obtaining unit 20, where the ninth obtaining unit 20 is configured to perform weight value allocation on the integrity and the color according to the classification result, and obtain a first weight value allocation result, where the first weight value allocation result includes a first integrity weight value and a first color weight value;
A tenth obtaining unit 21, where the tenth obtaining unit 21 is configured to perform weighted calculation on the first integrity analysis result and the first color matching result according to the first integrity weight value and the first color weight value, to obtain a second integrity analysis result and a second color matching result;
an eleventh obtaining unit 22, where the eleventh obtaining unit 22 is configured to obtain a first evaluation result of the first client according to the second integrity analysis result and the second color matching result;
and a first management unit 23, where the first management unit 23 is configured to manage the first client according to the first evaluation result.
Further, the system further comprises:
a twelfth obtaining unit for obtaining first position information of the first component from the second image;
a thirteenth obtaining unit configured to obtain a first duty relation of the first component in the second image;
a fourteenth obtaining unit for obtaining second position information of the first member through the first image;
a fifteenth obtaining unit configured to obtain a second duty relation of the first component in the first image;
A sixteenth obtaining unit configured to obtain a first positional deviation degree according to the first positional relationship and the second positional relationship;
a seventeenth obtaining unit configured to obtain a first duty ratio deviation value according to the first duty ratio relationship and the second duty ratio relationship;
an eighteenth obtaining unit configured to obtain the first integrity analysis result according to the first positional deviation degree and the first duty ratio deviation value.
Further, the system further comprises:
a nineteenth obtaining unit configured to obtain first characteristic information of the first commodity;
a twentieth obtaining unit configured to obtain a first influence degree and a second influence degree of the first feature and the first component, where the first influence degree is an influence degree of a positional deviation of the first component, and the second influence degree is an influence degree of a duty ratio deviation of the first component;
a twenty-first obtaining unit, configured to perform weighted calculation on the first position deviation degree according to the first influence degree, to obtain a second position deviation degree;
A twenty-second obtaining unit, configured to perform weighted calculation on the first duty cycle deviation value according to the second influence degree, to obtain a second duty cycle deviation value;
and a twenty-third obtaining unit, configured to obtain the first integrity analysis result according to the second position deviation degree and the second duty ratio deviation value.
Further, the system further comprises:
a twenty-fourth obtaining unit, configured to obtain a first browsing amount and a first ordering amount of the first commodity in a first time period;
a twenty-fifth obtaining unit configured to obtain a first evaluation value according to the first browsing amount and the first order amount;
a twenty-sixth obtaining unit, configured to obtain a second browsing amount and a second order amount of the first commodity in a second time period;
a twenty-seventh obtaining unit configured to obtain a second evaluation value according to the second browsing amount and the second order amount;
a twenty-eighth obtaining unit, configured to obtain a first association degree between the first time period and the second time period according to the first commodity information;
The first sending unit is used for obtaining a first adjustment scheme according to the first association degree, the first evaluation value and the second evaluation value and sending the first adjustment scheme to the first client.
Further, the system further comprises:
a twenty-ninth obtaining unit configured to obtain a browsing amount variation value according to the first browsing amount and the second browsing amount;
a thirty-second obtaining unit configured to obtain an order amount variation value from the first order amount and the second order amount;
a thirty-first obtaining unit configured to obtain a first fund distribution scheme according to the browsing amount variation value and the order amount variation value;
and the second sending unit is used for sending the first fund distribution scheme to the first client.
Further, the system further comprises:
the first input unit is used for inputting the second integrity analysis result and the second color matching degree result into a matching degree analysis model, wherein the matching degree analysis model is obtained through training of multiple sets of training data, and each set of the multiple sets of training data comprises: the second integrity analysis result, the matching degree result and the identification information for identifying the first result;
A thirty-second obtaining unit configured to obtain an output result of the matching degree analysis model, the output result including the first evaluation result.
Further, the system further comprises:
a thirty-third obtaining unit configured to obtain a second evaluation result, where the second evaluation result is an evaluation result of a second commodity of the first client;
a thirty-fourth obtaining unit configured to obtain a third evaluation result according to the first evaluation result and the second evaluation result, where the third evaluation result is an average value of the first evaluation result and the second evaluation result;
a thirty-fifth obtaining unit for obtaining a first predetermined evaluation result threshold;
a first judging unit configured to judge whether the third evaluation result satisfies the first predetermined evaluation result threshold;
a thirty-sixth obtaining unit configured to obtain first rectification information when the third evaluation result does not satisfy the first predetermined evaluation result threshold value;
And the third sending unit is used for sending the first modification information to the first client.
Various modifications and embodiments of the foregoing cloud platform-based electronic commerce transaction management method in the first embodiment of fig. 1 are equally applicable to the cloud platform-based electronic commerce transaction management system of the present embodiment, and by the foregoing detailed description of the foregoing cloud platform-based electronic commerce transaction management method, those skilled in the art can clearly know the implementation method of the cloud platform-based electronic commerce transaction management system in the present embodiment, so that the description is omitted herein for brevity.
Exemplary electronic device
An electronic device of an embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the cloud platform-based electronic commerce transaction management method according to the foregoing embodiments, the present invention further provides a cloud platform-based electronic commerce transaction management system, on which a computer program is stored, which when executed by a processor, implements the steps of any one of the foregoing cloud platform-based electronic commerce transaction management methods.
Where in FIG. 3 a bus architecture (represented by bus 300), bus 300 may comprise any number of interconnected buses and bridges, with bus 300 linking together various circuits, including one or more processors, represented by processor 302, and memory, represented by memory 304. Bus 300 may also link together various other circuits such as peripheral devices, voltage regulators, power management circuits, etc., as are well known in the art and, therefore, will not be described further herein. Bus interface 305 provides an interface between bus 300 and receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e. a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 may be used to store data used by the processor 302 in performing operations.
The embodiment of the invention provides an electronic business transaction management method based on a cloud platform, which is applied to a cloud platform transaction management system, wherein the system is in communication connection with a first client, and the method comprises the following steps: acquiring first commodity information through the first client; obtaining a first image according to the first commodity information, wherein the first image is the first commodity display picture; obtaining the first commodity through the first client and obtaining a second image of the first commodity, wherein the second image is an image of the first commodity under standard conditions; carrying out integrity analysis on the first image and the second image to obtain a first integrity analysis result; performing color matching value analysis on the first image and the second image to obtain a first color matching degree result; obtaining first-class commodity information and second-class commodity information; obtaining first attribute information according to the first category commodity information, wherein the first attribute information is obtained through a single-angle picture; obtaining second attribute information according to the second category commodity information, wherein the second attribute information is obtained through a multi-angle picture; determining a classification result of the first commodity information according to the first commodity information and the second commodity information; performing weight value distribution on the integrity and the color according to the classification result to obtain a first weight value distribution result, wherein the first weight value distribution result comprises a first integrity weight value and a first color weight value; respectively carrying out weighted calculation on the first integrity analysis result and the first color matching degree result according to the first integrity weight value and the first color weight value to obtain a second integrity analysis result and a second color matching degree result; obtaining a first evaluation result of the first client according to the second integrity analysis result and the second color matching result; and managing the first client according to the first evaluation result. The technical problems that in the prior art, a platform is lack of verification of the propaganda information of the retailers or verification is inaccurate, so that consumers obtain false information and purchase experience is poor are solved, the purposes that the goods of the retailers and the propaganda information are accurately verified through the cloud platform are achieved, the authenticity of the propaganda information is improved, and the technical effect of shopping experience of the consumers is further improved.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

Claims (9)

1. An electronic business transaction management method based on a cloud platform, wherein the method is applied to a cloud platform transaction management system, the system is in communication connection with a first client, and the method comprises:
acquiring first commodity information through the first client;
obtaining a first image according to the first commodity information, wherein the first image is the first commodity display picture;
obtaining the first commodity through the first client and obtaining a second image of the first commodity, wherein the second image is an image of the first commodity under standard conditions;
carrying out integrity analysis on the first image and the second image to obtain a first integrity analysis result;
performing color matching value analysis on the first image and the second image to obtain a first color matching degree result;
Obtaining first-class commodity information and second-class commodity information, wherein the first-class commodity information represents commodity information with a simple commodity structure, and the second-class commodity information represents commodity information with a complex structure;
obtaining first attribute information according to the first category commodity information, wherein the first attribute information characterizes a commodity structure which can be accurately described through a single angle picture;
obtaining second attribute information according to the second category commodity information, wherein the second attribute information characterizes that the commodity structure can be completely described through a multi-angle picture;
determining a classification result of the first commodity information according to the attribute information of the first commodity information and the second commodity information, wherein the classification result is whether the first commodity belongs to the first commodity or the second commodity;
performing weight value distribution on the integrity and the color according to the classification result to obtain a first weight value distribution result, wherein the first weight value distribution result comprises a first integrity weight value and a first color weight value;
respectively carrying out weighted calculation on the first integrity analysis result and the first color matching degree result according to the first integrity weight value and the first color weight value to obtain a second integrity analysis result and a second color matching degree result;
Obtaining a first evaluation result of the first client according to the second integrity analysis result and the second color matching result;
and managing the first client according to the first evaluation result.
2. The method of claim 1, wherein the performing integrity analysis on the first image and the second image to obtain a first integrity analysis result further comprises:
obtaining first position information of a first component through the second image;
obtaining a first duty cycle relationship of the first component in the second image;
obtaining second position information of the first component through the first image;
obtaining a second duty cycle relationship of the first component in the first image;
obtaining a first position offset according to the first position relation and the second position relation;
obtaining a first duty ratio deviation value according to the first duty ratio relation and the second duty ratio relation;
and obtaining the first integrity analysis result according to the first position offset and the first duty ratio deviation value.
3. The method of claim 2, wherein the obtaining the first integrity analysis result from the first position offset and the first duty cycle offset value further comprises:
Obtaining first characteristic information of the first commodity, wherein the first characteristic information is the appearance, quality, function, trademark and package of the product;
obtaining a first influence degree and a second influence degree of the first component on the first feature, wherein the first influence degree is the influence degree of the position deviation of the first component on the first feature, and the second influence degree is the influence degree of the duty ratio deviation of the first component on the first feature;
weighting calculation is carried out on the first position deviation degree according to the first influence degree, and a second position deviation degree is obtained;
weighting calculation is carried out on the first duty ratio deviation value according to the second influence degree, and a second duty ratio deviation value is obtained;
and obtaining the first integrity analysis result according to the second position deviation degree and the second duty ratio deviation value.
4. The method of claim 1, wherein the method further comprises:
obtaining a first browsing amount and a first ordering amount of the first commodity in a first time period;
obtaining a first evaluation value according to the first browsing amount and the first ordering amount, wherein the first evaluation value is the ratio of the first ordering amount to the first browsing amount;
Obtaining a second browsing amount and a second ordering amount of the first commodity in a second time period;
obtaining a second evaluation value according to the second browsing amount and the second ordering amount, wherein the second evaluation value is the ratio of the second ordering amount to the second browsing amount;
obtaining a first association degree between the first time period and the second time period according to the first commodity information;
and obtaining a first adjustment scheme according to the first association degree, the first evaluation value and the second evaluation value, and sending the first adjustment scheme to the first client.
5. The method of claim 4, wherein the method further comprises:
obtaining a browsing amount change value according to the first browsing amount and the second browsing amount;
obtaining a change value of the order quantity according to the first order quantity and the second order quantity;
obtaining a first fund distribution scheme according to the browsing amount change value and the order amount change value;
and sending the first fund distribution scheme to the first client.
6. The method of claim 1, wherein the obtaining the first evaluation result of the first client according to the second integrity analysis result and the second color matching result further comprises:
Inputting the second completeness analysis result and the second color matching degree result into a matching degree analysis model, wherein the matching degree analysis model is obtained through training of multiple sets of training data, and each set of the multiple sets of training data comprises: the second integrity analysis result, the second color matching degree result and the identification information for identifying the first evaluation result;
and obtaining an output result of the matching degree analysis model, wherein the output result comprises the first evaluation result.
7. The method of claim 1, wherein the managing the first client according to the first evaluation result further comprises:
obtaining a second evaluation result, wherein the second evaluation result is an evaluation result of a second commodity of the first client;
obtaining a third evaluation result according to the first evaluation result and the second evaluation result, wherein the third evaluation result is an average value of the first evaluation result and the second evaluation result;
obtaining a first preset evaluation result threshold;
judging whether the third evaluation result meets the first preset evaluation result threshold value or not;
when the third evaluation result does not meet the first preset evaluation result threshold value, first rectification information is obtained;
And sending the first correction information to the first client.
8. An electronic commerce transaction management system based on a cloud platform, wherein the system comprises:
the first obtaining unit is used for obtaining first commodity information through a first client;
the second obtaining unit is used for obtaining a first image according to the first commodity information, wherein the first image is the first commodity display picture;
a third obtaining unit, configured to obtain, by using the first client, the first commodity, and obtain a second image of the first commodity, where the second image is an image of the first commodity under a standard condition;
the fourth obtaining unit is used for carrying out integrity analysis on the first image and the second image to obtain a first integrity analysis result;
a fifth obtaining unit, configured to perform color matching value analysis on the first image and the second image, to obtain a first color matching result;
a sixth obtaining unit, configured to obtain first-type commodity information and second-type commodity information, where the first-type commodity information represents commodity information with a simple commodity structure, and the second-type commodity information represents commodity information with a complex structure;
A seventh obtaining unit, configured to obtain first attribute information according to the first category commodity information, where the first attribute information characterizes a commodity structure that can be accurately described through a single angle picture;
an eighth obtaining unit, configured to obtain second attribute information according to the second category commodity information, where the second attribute information characterizes that the commodity structure can be completely described through a multi-angle picture;
the first determining unit is used for determining a classification result of the first commodity information according to the attribute information of the first commodity information and the second commodity information, wherein the classification result is used for judging whether the first commodity belongs to the first commodity or the second commodity;
a ninth obtaining unit, configured to perform weight value allocation on the integrity and the color according to the classification result, to obtain a first weight value allocation result, where the first weight value allocation result includes a first integrity weight value and a first color weight value;
a tenth obtaining unit, configured to perform weighted calculation on the first integrity analysis result and the first color matching degree result according to the first integrity weight value and the first color weight value, to obtain a second integrity analysis result and a second color matching degree result;
An eleventh obtaining unit, configured to obtain a first evaluation result of the first client according to the second integrity analysis result and the second color matching result;
and the first management unit is used for managing the first client according to the first evaluation result.
9. A cloud platform based electronic commerce transaction management system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 7 when the program is executed by the processor.
CN202111023946.6A 2021-09-02 2021-09-02 Electronic commercial transaction management method and system based on cloud platform Active CN113657974B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111023946.6A CN113657974B (en) 2021-09-02 2021-09-02 Electronic commercial transaction management method and system based on cloud platform

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111023946.6A CN113657974B (en) 2021-09-02 2021-09-02 Electronic commercial transaction management method and system based on cloud platform

Publications (2)

Publication Number Publication Date
CN113657974A CN113657974A (en) 2021-11-16
CN113657974B true CN113657974B (en) 2024-03-01

Family

ID=78493444

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111023946.6A Active CN113657974B (en) 2021-09-02 2021-09-02 Electronic commercial transaction management method and system based on cloud platform

Country Status (1)

Country Link
CN (1) CN113657974B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006323855A (en) * 2006-06-16 2006-11-30 Akira Aoki Merchandise catalog used for advertisement and sales of merchandise through internet information communication system
CN102982332A (en) * 2012-09-29 2013-03-20 顾坚敏 Retail terminal goods shelf image intelligent analyzing system based on cloud processing method
CN107292248A (en) * 2017-06-05 2017-10-24 广州诚予国际市场信息研究有限公司 A kind of merchandise control method and system based on image recognition technology
CN110378773A (en) * 2019-07-26 2019-10-25 织网(上海)互联网科技有限公司 Merchandise display processing method, device, storage medium and plateform system
CN112489120A (en) * 2021-02-04 2021-03-12 中科长光精拓智能装备(苏州)有限公司 Image recognition method and system for multi-angle image
CN112581116A (en) * 2019-09-30 2021-03-30 王宝伦 Commodity verification method, related equipment and system
CN112785267A (en) * 2021-01-23 2021-05-11 南京利特嘉软件科技有限公司 Flight information management method and system based on MVC framework technology
CN115879947A (en) * 2022-12-15 2023-03-31 范化雷 Management method and system based on electronic transaction

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006323855A (en) * 2006-06-16 2006-11-30 Akira Aoki Merchandise catalog used for advertisement and sales of merchandise through internet information communication system
CN102982332A (en) * 2012-09-29 2013-03-20 顾坚敏 Retail terminal goods shelf image intelligent analyzing system based on cloud processing method
CN107292248A (en) * 2017-06-05 2017-10-24 广州诚予国际市场信息研究有限公司 A kind of merchandise control method and system based on image recognition technology
CN110378773A (en) * 2019-07-26 2019-10-25 织网(上海)互联网科技有限公司 Merchandise display processing method, device, storage medium and plateform system
CN112581116A (en) * 2019-09-30 2021-03-30 王宝伦 Commodity verification method, related equipment and system
CN112785267A (en) * 2021-01-23 2021-05-11 南京利特嘉软件科技有限公司 Flight information management method and system based on MVC framework technology
CN112489120A (en) * 2021-02-04 2021-03-12 中科长光精拓智能装备(苏州)有限公司 Image recognition method and system for multi-angle image
CN115879947A (en) * 2022-12-15 2023-03-31 范化雷 Management method and system based on electronic transaction

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
网络市场商品包装设计研究分析;安晓燕;;陕西科技大学学报(自然科学版)(第06期);全文 *

Also Published As

Publication number Publication date
CN113657974A (en) 2021-11-16

Similar Documents

Publication Publication Date Title
Scholz et al. Measuring consumers' willingness to pay with utility-based recommendation systems
US7627495B2 (en) Systems, methods and computer program products for modeling demand, supply and associated profitability of a good
WO2022247741A1 (en) Commodity object price information processing method and apparatus, and electronic device
CN114066336B (en) Bidding risk control method and device
CN111768243A (en) Sales prediction method, prediction model construction method, device, equipment and medium
CN111445133A (en) Material management method and device, computer equipment and storage medium
CN113657974B (en) Electronic commercial transaction management method and system based on cloud platform
CN115482014B (en) Method and device for identifying false car source of second-hand car
CN112348590A (en) Method and device for determining value of article, electronic equipment and storage medium
CN110428281A (en) Combine the method and apparatus for determining peers amount for a variety of related products
TWM587310U (en) Screening system for potential buyers of financial commodities
JP2020021268A5 (en)
CN113761380A (en) Commodity information sharing method and system for each E-commerce platform based on block chain big data
CN110807665A (en) Method and device for improving conversion rate of marketing commodities
CN110751492A (en) High-value crowd identification method and device
CN110766478A (en) Method and device for improving user connectivity
CN116308466B (en) Data information acquisition and intelligent analysis method, system, equipment and storage medium
Williams et al. Measuring the effectiveness of checkoff programs
Marković et al. Analysis of Interactions of Key Stakeholders on B2C e-Markets-Agent Based Modelling and Simulation Approach
KR20190084145A (en) Artificial intelligence system for finding promising technologies using online patent auction system
TWI769385B (en) Method and system for screening potential purchasers of financial products
Bogatyrev New Horizons of Behavioral Valuation
Pahlevi et al. The Influence of Influencer Marketing, Online Customer Review and Online Customer Rating to Purchasing Interest on the Tik Tok Shop Application
CN111160981B (en) Method and device for optimizing user preference information based on off-line shop
Gaol DESIGN COURSE FEATURE ON E-COMMERCE APPLICATION

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20240129

Address after: 350000, 5th to 7th floors of Huqian Office Service Building, No. 203 Fufei South Road, Gulou District, Fuzhou City, Fujian Province

Applicant after: Wanquan Speed Dating Network Technology Co.,Ltd.

Country or region after: China

Address before: 511660 Room 302, 3rd floor, No. 8, Huangzhou Industrial Zone, chepo Road, Dongpu, Tianhe District, Guangzhou, Guangdong

Applicant before: Guangzhou Weihang Network Technology Co.,Ltd.

Country or region before: China

GR01 Patent grant
GR01 Patent grant