CN114612159A - Online mall platform intelligent management method, system and computer storage medium - Google Patents

Online mall platform intelligent management method, system and computer storage medium Download PDF

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CN114612159A
CN114612159A CN202210291194.XA CN202210291194A CN114612159A CN 114612159 A CN114612159 A CN 114612159A CN 202210291194 A CN202210291194 A CN 202210291194A CN 114612159 A CN114612159 A CN 114612159A
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shopping mall
user account
online shopping
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consumption
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CN114612159B (en
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何英秀
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Dingqu Shanghai Technology Co ltd
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    • 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
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0211Determining the effectiveness of discounts or incentives
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/11Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • G06F17/13Differential equations
    • 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
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0222During e-commerce, i.e. online transactions
    • 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
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0224Discounts or incentives, e.g. coupons or rebates based on user history
    • 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
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0239Online discounts or incentives

Abstract

The invention discloses an on-line shopping mall consumption platform lottery accumulated point exchange intelligent management method, a system and a computer storage medium, the invention calculates the comprehensive exchange priority coefficient of each merchant in each user account in the on-line shopping mall consumption platform by counting the total accumulated point number and the temporary accumulated point number in each user account in the on-line shopping mall consumption platform, extracts the historical consumption information and the historical exchange information of each user account in the on-line shopping mall consumption platform, compares and counts the screening merchants corresponding to each user account, simultaneously screens the accumulated points corresponding to the required exchanged certificates in each screening merchant corresponding to each user account in the on-line shopping mall consumption platform, analyzes the exchange value ratio coefficient of each exchanged lottery in each screening merchant corresponding to each user account, and recommends and exchanges each exchanged lottery to the corresponding user account before the screening, thereby improving the enthusiasm and experience of the exchanged credits of the users, and the development of an integration system of an online shopping mall consumption platform is promoted.

Description

Online mall platform intelligent management method, system and computer storage medium
Technical Field
The invention relates to the field of reward coupon point exchange management, in particular to an online mall platform intelligent management method, system and computer storage medium.
Background
In order to encourage the user to consume, after the user carries out consumption service on the online mall platform, the platform feeds back the user in a mode of issuing points to the user, and the user can exchange corresponding lottery tickets on the online mall platform by means of the points. An effective point redemption policy therefore has a very positive effect on establishing and managing merchant and user relationships.
At present, the existing platform lottery point redemption management method still has some defects:
1. the existing online mall consumption platform limits the use permission and the time permission of the point for the user, and the problem that the point in the account is cleared due to the fact that the user does not use the temporary point in time exists, so that the development of a point system of the online mall consumption platform is severely limited, and the experience of the point exchange of the user on the online mall consumption platform is reduced;
2. the existing platform lottery ticket point exchange management mode can only exchange platform general lottery tickets and cannot carry out targeted lottery ticket exchange on merchants of online shopping mall consumption platforms, so that the consumption requirements of users in the platform cannot be met, and the point exchange proportions among different merchants in the platform are different, so that the value difference of the platform points is large, the point exchange loss of the users is increased, the enthusiasm of the users for exchanging the points is reduced, and the consumption viscosity of the users on the online shopping mall consumption platforms is influenced;
in order to solve the problems, an online mall platform intelligent management method, an online mall platform intelligent management system and a computer storage medium are designed.
Disclosure of Invention
The invention aims to provide an online mall platform intelligent management method, an online mall platform intelligent management system and a computer storage medium, which solve the problems in the background art.
In order to achieve the purpose, the invention provides an online mall platform intelligent management method, which comprises the following steps:
counting account information of each user in an online shopping mall consumption platform, and extracting a total integral number in each user account in the online shopping mall consumption platform;
acquiring time for obtaining points in each user account number in an online shopping mall consumption platform, analyzing the residual effective period of the points obtained in each user account number in the online shopping mall consumption platform, and comparing and counting the current integral number in each user account number in the online shopping mall consumption platform;
extracting historical consumption information of each user account in the online shopping mall consumption platform, and analyzing the consumption priority weight coefficient of each user in the online shopping mall consumption platform to each merchant;
extracting historical exchange information of each user account in an online shopping mall consumption platform, calculating a comprehensive exchange priority coefficient of each merchant in each user account in the online shopping mall consumption platform, screening merchants with the highest comprehensive exchange priority coefficient corresponding to each user account in the online shopping mall consumption platform, and respectively recording the merchants as screening merchants corresponding to each user account;
acquiring the member grade of each user account in the online shopping mall consumption platform, screening each redemption lottery ticket meeting the corresponding user member grade in the screening merchant corresponding to each user account in the online shopping mall consumption platform, and respectively recording the redemption lottery tickets meeting the redemption lottery ticket in the screening merchant corresponding to each user account;
extracting the required points of the various qualified exchange lottery tickets in the screening merchants corresponding to the various user accounts in the online shopping mall consumption platform, and analyzing the exchange value ratio coefficient of the various qualified exchange lottery tickets in the screening merchants corresponding to the various user accounts in the online shopping mall consumption platform;
and comparing the exchange value ratio coefficients of the various eligible redemption lottery tickets in the screening merchants corresponding to the various user accounts in the online shopping mall consumption platform, and performing redemption recommendation on the various eligible redemption lottery tickets with the screening ranks higher to the corresponding user accounts.
In one possible design, the step of extracting the total integral number in each user account in the online shopping mall consuming platform comprises the following steps:
counting the total integral number in each user account number in the online shopping mall consumption platform to form a total integral number set Ap in each user account number in the online shopping mall consumption platformGeneral assembly={A1pGeneral assembly,A2pGeneral (1),...,AipGeneral (1),...,AnpGeneral assembly},AipGeneral assemblyExpressed as the total integrated number in the ith user account number in the online shopping mall consuming platform.
In one possible design, the comparing the temporary scores of the user accounts in the online shopping mall consumption platform includes:
s1, obtaining time of obtaining points in each user account number in the online shopping mall consumption platform, and forming a time set t of obtaining points in each user account number in the online shopping mall consumption platformip={tip1,tip2,...,tipj,...,tipm},tipjThe point obtaining time is expressed as the j-th point obtaining time in the ith user account number in the online shopping mall consuming platform, wherein i is 1, 2.
S2, setting the integration validity period T of the online shopping mall consumption platformIs provided withSubstituted into formula T'ipj=TIs provided with-(tReal time-tipj) Obtaining the residual effective period T 'of each acquired point in each user account number in the online shopping mall consumption platform'ipjWherein t isReal timeExpressed as the current real time;
s3, comparing the residual effective period of each acquired point in each user account in the online shopping mall consumption platform with a set temporary time threshold, and if the residual effective period of a certain acquired point in a certain user account is less than or equal to the set temporary time threshold, indicating that the acquired point in the user account is a temporary point;
s4, counting the temporary points in each user account number in the online shopping mall consumption platform, and marking the temporary points in each user account number in the online shopping mall consumption platform as AipFaceWherein i is 1, 2.
In one possible design, the extracting historical consumption information of each user account in the online shopping mall consumption platform and analyzing the consumption priority weight coefficient of each user in the online shopping mall consumption platform to each merchant comprises the following specific steps:
h1, extracting the consumption times of each merchant in the historical consumption information of each user account in the online shopping mall consumption platform, counting the consumption times of each merchant in the consumption information of each user account, and marking the consumption times of each merchant in the consumption information of each user account as AiXvWherein v ═ 1,2,. u;
h2, extracting the consumption amount of each merchant in the historical consumption information of each user account in the online shopping mall consumption platform, counting the consumption amount of each merchant in the consumption information of each user account, and marking the consumption amount of each merchant in the consumption information of each user account as AiRv
H3, extraction of online shopping mall consumption platformObtaining scores corresponding to each merchant in the historical consumption information of each user account, counting the obtaining scores corresponding to each merchant in the consumption information of each user account, and marking the obtaining scores corresponding to each merchant in the consumption information of each user account as AiP′v
H4, analyzing the consumption priority weight coefficient of each user to each merchant in the online shopping mall consumption platform
Figure BDA0003560269030000041
ξiavExpressed as the consumption priority coefficient, lambda, of the ith user to the vth merchant in the online mall consumption platformX、λR、λPRespectively expressed as the influence proportion coefficient corresponding to the consumption times, the consumption amount and the acquisition integral number.
In one possible design, after the step of extracting the historical redemption information of each user account in the online shopping mall consumption platform, the method includes:
g1, obtaining the exchange times of each merchant in the historical exchange information of each user account in the online shopping mall consumption platform, counting the exchange times of each merchant in the exchange information of each user account, and marking the exchange times of each merchant in the exchange information of each user account as A'iYv
G2, obtaining the exchange scores of all merchants in the historical exchange information of all user accounts in the online shopping mall consumption platform, counting the exchange scores of all merchants in the exchange information of all user accounts, and marking the exchange scores of all merchants in the exchange information of all user accounts as A'iQv
G3, and converting times A 'of each merchant in the conversion information of each user account number'iYvAnd the redemption point number A of each merchant in the redemption information of each user account'iQvSubstitution formula
Figure BDA0003560269030000051
Obtaining the exchange priority weight coefficient xi 'of each user to each merchant in the online shopping mall consumption platform'ia′v
In one possible design, the calculation method of the comprehensive exchange priority coefficient of each merchant in each user account in the online shopping mall consumption platform is as follows:
consumption priority weighting coefficient xi of each user to each merchant in the online shopping mall consumption platformiavAnd the exchange priority weight coefficient xi 'of each user to each merchant in the online shopping mall consumption platform'ia′vSubstituting formula psi'ia′v=α*ξiav+β*ξ′ia′vObtaining the comprehensive exchange priority coefficient psi 'of each merchant in each user account number in the online shopping mall consumption platform'ia′vWherein alpha and beta are respectively expressed as priority influence weight coefficients corresponding to the user consumption information and the user exchange information.
In one possible design, after the step of screening each redemption lottery meeting the corresponding user member level in the merchant house corresponding to each user account in the online shopping mall consumption platform, the method comprises the following steps;
counting the eligible lottery tickets in the screening merchants corresponding to each user account number in the online shopping mall consumption platform, and forming an eligible lottery ticket collection w in the screening merchants corresponding to each user account number in the online shopping mall consumption platformib′={wib′1,wib′2,...,wib′f,...,wib′k},wib′fThe method is represented as that the ith user account number in the online shopping mall consumption platform corresponds to the f & th redemption-compliant lottery ticket in the screening merchant.
In one possible design, the analysis mode of the conversion value ratio coefficient corresponding to each redemption-compliant lottery ticket in the screening merchant corresponding to each user account in the online mall consumption platform is as follows:
l1, extracting the required points of each redemption-eligible coupon in the screening merchants corresponding to each user account in the online shopping mall consumption platform, and marking the required points of each redemption-eligible coupon in the screening merchants corresponding to each user account in the online shopping mall consumption platform as wiQ′fWherein f is 1,2,. k;
l2, obtainingTaking the member grade of each user account in the online shopping mall consumption platform, extracting the point exchange proportion of each merchant and each member grade in the online shopping mall consumption platform, screening the point exchange proportion of each screened merchant corresponding to each user account in the online shopping mall consumption platform, and marking the point exchange proportion of each screened merchant corresponding to each user account in the online shopping mall consumption platform as epsiloni
L3, screening the required points w of each coupon meeting the exchange in the merchant correspondingly to each user account in the online shopping mall consumption platformiQ′fScreening the credit exchange proportion epsilon of the merchant corresponding to each user account number in the online shopping mall consumption platformiSubstitution formula
Figure BDA0003560269030000061
Obtaining the exchange value ratio coefficient theta of each corresponding exchange lottery in the screening merchants corresponding to each user account in the online shopping mall consumption platformib′fWherein A isipFaceExpressed as the temporary integral number, delta, in the ith user account number in the online mall consumption platform1、δ2Respectively expressed as the exchange value weight indexes of the temporary point and the normal point in the user account, AipGeneral assemblyExpressed as the total integrated number in the ith user account number in the online shopping mall consuming platform.
The invention also provides an intelligent management system for the online mall platform, which comprises the following steps:
an account total number of points acquisition module: the online shopping mall consumption platform system is used for counting account information of each user in the online shopping mall consumption platform and extracting total integral number in each user account in the online shopping mall consumption platform;
the account number temporary point number counting module: the online shopping mall consumption platform integration obtaining method comprises the steps of obtaining time for obtaining points in each user account number in the online shopping mall consumption platform, analyzing residual effective period for obtaining the points in each user account number in the online shopping mall consumption platform, and comparing and counting the current integral number in each user account number in the online shopping mall consumption platform;
the historical consumption information extraction module: the online shopping mall consumption platform management system is used for extracting historical consumption information of each user account in the online shopping mall consumption platform and analyzing consumption priority weight coefficients of each user in the online shopping mall consumption platform to each merchant;
the exchange priority coefficient analysis module: the online shopping mall processing system is used for extracting historical exchange information of all user accounts in an online shopping mall consumption platform, calculating comprehensive exchange priority coefficients of all merchants in all the user accounts in the online shopping mall consumption platform, screening merchants with the highest comprehensive exchange priority coefficients corresponding to all the user accounts in the online shopping mall consumption platform, and recording the merchants as screened merchants corresponding to all the user accounts respectively;
the redemption ticket screening module is used for: the online shopping mall consuming platform is used for obtaining the member grade of each user account in the online shopping mall consuming platform, screening various redemption lottery tickets meeting the corresponding user member grade in the corresponding screening merchants of each user account in the online shopping mall consuming platform, and recording the redemption lottery tickets meeting the redemption lottery ticket in the corresponding screening merchants of each user account;
the lottery redemption value ratio analysis module: the system is used for extracting the required points of the qualified exchange lottery tickets in the screening merchants corresponding to the user accounts in the online shopping mall consumption platform, and analyzing the exchange value ratio coefficient of the qualified exchange lottery tickets in the screening merchants corresponding to the user accounts in the online shopping mall consumption platform;
the redemption lottery ticket redemption recommending module: the online shopping mall customer account matching and exchange recommendation method is used for comparing exchange value ratio coefficients of various matching exchange lottery tickets in screening merchants corresponding to various user accounts in an online shopping mall consumption platform, and screening various matching exchange lottery tickets with the top rank to exchange and recommend the corresponding user accounts.
The invention also provides a computer storage medium, wherein a computer program is recorded in the computer storage medium, and when the computer program runs in the memory of the server, the intelligent management method for the online mall platform is realized.
Has the advantages that:
(1) the invention provides an on-line mall platform intelligent management method, a system and a computer storage medium, which can intuitively know the temporary point number in a user account number by counting the total point number and the temporary point number in each user account number in an on-line mall consumption platform, avoid the problem of zero clearing of the point number caused by the fact that the user does not use the temporary point in time, lay a foundation for later analysis and screening of exchange value ratio coefficients of various merchants according with exchange lottery tickets, extract the historical consumption information of each user account number in the on-line mall consumption platform, analyze the consumption priority coefficient of each user in the on-line mall consumption platform to each merchant, provide reliable reference data for later calculation of the comprehensive exchange priority coefficient of each merchant in each user account number, simultaneously extract the historical exchange information of each user account number in the on-line mall consumption platform, calculate the comprehensive exchange priority coefficient of each merchant in each user account number in the on-line mall consumption platform, and comparing and screening the merchants corresponding to the user accounts in the online shopping mall consumption platform, thereby meeting the consumption demand of the users in the platform and increasing the credit exchange experience of the users on the online shopping mall consumption platform.
(2) According to the invention, the member grade of each user account in the online shopping mall consumption platform is obtained, each user account in the online shopping mall consumption platform corresponds to each corresponding redemption lottery in the screening merchants, the required score of each corresponding redemption lottery in each corresponding screening merchant of each user account in the online shopping mall consumption platform is extracted, and the redemption value ratio coefficient of each redemption lottery in each corresponding screening merchant of each user account is analyzed, so that the differentiation of platform score values is avoided, the score redemption loss of users is reduced, the score system development of the online shopping mall consumption platform is promoted, and the redemption recommendation of each redemption lottery ranked before screening to the corresponding user account is compared, so that the enthusiasm of user redemption scores is improved, and the consumption viscosity of the users to the online shopping mall consumption platform is increased.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of the method of the present invention;
fig. 2 is a schematic diagram of the system module connection according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides an intelligent management method for an online mall platform, comprising the following steps:
step S1, counting account information of each user in the online shopping mall consumption platform, extracting total points in each user account in the online shopping mall consumption platform, counting total points in each user account in the online shopping mall consumption platform, and forming a total point set Ap in each user account in the online shopping mall consumption platformGeneral assembly={A1pGeneral assembly,A2pGeneral assembly,...,AipGeneral assembly,...,AnpGeneral assembly},AipGeneral assemblyExpressed as the total integrated number in the ith user account number in the online shopping mall consuming platform.
Step S2, obtaining time of obtaining points in each user account number in the online shopping mall consumption platform, analyzing the residual effective period of obtaining points in each user account number in the online shopping mall consumption platform, and comparing the residual effective period with the temporary product number in each user account number in the online shopping mall consumption platform.
Further, the comparing the temporary integral scores of the user accounts in the online shopping mall consumption platform comprises:
s21, obtaining time of obtaining points in each user account number in the online shopping mall consumption platform, and forming a time set t of obtaining points in each user account number in the online shopping mall consumption platformip={tip1,tip2,...,tipj,...,tipm},tipjExpressed as the time for obtaining the point for the jth time in the ith user account number in the online shopping mall consumption platformWherein i is 1, 2.. times.n;
s22, setting the integration validity period T of the online shopping mall consumption platformIs provided withSubstituted into formula T'ipj=TIs provided with-(tReal-time-tipj) Obtaining the residual effective period T 'of each acquired point in each user account number in the online shopping mall consumption platform'ipjWherein t isReal-timeExpressed as the current real time;
s23, comparing the residual effective period of each acquired point in each user account in the online shopping mall consumption platform with a set temporary time threshold, and if the residual effective period of a certain acquired point in a certain user account is less than or equal to the set temporary time threshold, indicating that the acquired point in the user account is a temporary point;
s24, counting the temporary points in each user account number in the online shopping mall consumption platform, and marking the temporary points in each user account number in the online shopping mall consumption platform as AipFaceWherein i is 1, 2.
Specifically, the total integral and the temporary integral in each user account in the online shopping mall consumption platform are counted, so that the temporary integral in the user account can be intuitively known, the problem that the integral is reset because the user does not use the temporary integral in time is avoided, and a foundation is laid for analyzing and screening the exchange value ratio coefficients which accord with the exchange lottery in the merchant in the later period.
And step S3, extracting historical consumption information of each user account in the online shopping mall consumption platform, and analyzing the consumption priority weight coefficient of each user in the online shopping mall consumption platform to each merchant.
Further, the analyzing of the consumption priority weight coefficient of each user to each merchant in the online shopping mall consumption platform includes the following specific steps:
s31, extracting the consumption times of each merchant in the historical consumption information of each user account in the online shopping mall consumption platform, counting the consumption times of each merchant in the consumption information of each user account, and marking the consumption times of each merchant in the consumption information of each user account as AiXvWhere v is 1,2,...,u;
S32, extracting the consumption amount of each merchant in the historical consumption information of each user account in the online shopping mall consumption platform, counting the consumption amount of each merchant in the consumption information of each user account, and marking the consumption amount of each merchant in the consumption information of each user account as AiRv
S33, extracting the acquisition integral number corresponding to each merchant in the historical consumption information of each user account in the online shopping mall consumption platform, counting the acquisition integral number corresponding to each merchant in the user account consumption information, and marking the acquisition integral number corresponding to each merchant in the user account consumption information as AiP′v
S34, analyzing the consumption priority weight coefficient of each user to each merchant in the online shopping mall consumption platform
Figure BDA0003560269030000101
ξiavExpressed as the consumption priority coefficient, lambda, of the ith user to the vth merchant in the online mall consumption platformX、λR、λPRespectively expressed as the influence scale factors corresponding to the consumption times, the consumption amount and the acquisition integral number.
Step S4, extracting historical exchange information of each user account in the online shopping mall consumption platform, calculating comprehensive exchange priority coefficients of all merchants in each user account in the online shopping mall consumption platform, screening merchants with the highest comprehensive exchange priority coefficients corresponding to all user accounts in the online shopping mall consumption platform, and recording the merchants as corresponding to all user accounts.
Further, after the step of extracting the historical exchange information of each user account in the online shopping mall consumption platform, the method includes:
s41, obtaining the exchange times of each merchant in the historical exchange information of each user account in the online shopping mall consumption platform, counting the exchange times of each merchant in the exchange information of each user account, and marking the exchange times of each merchant in the exchange information of each user account as A'iYv
S42, obtaining each item in the online shopping mall consumption platformCounting the redemption point number of each merchant in the historical redemption information of the user account, and marking the redemption point number of each merchant in the redemption information of each user account as A'iQv
S43, converting the conversion times A 'of each merchant in the conversion information of each user account'iYvAnd the redemption point number A of each merchant in the redemption information of each user account'iQvSubstitution formula
Figure BDA0003560269030000111
Obtaining the exchange priority weight coefficient xi 'of each user to each merchant in the online shopping mall consumption platform'ia′v
Further, the calculation method of the comprehensive exchange priority coefficient of each merchant in each user account in the online shopping mall consumption platform is as follows:
consumption priority weighting coefficient xi of each user to each merchant in the online shopping mall consumption platformiavAnd the exchange priority weight coefficient xi 'of each user to each merchant in the online shopping mall consumption platform'ia′vSubstituting formula psi'ia′v=α*ξiav+β*ξ′ia′vObtaining the comprehensive exchange priority coefficient psi 'of each merchant in each user account number in the online shopping mall consumption platform'ia′vWherein alpha and beta are respectively expressed as priority influence weight coefficients corresponding to the user consumption information and the user exchange information.
Specifically, the historical consumption information of each user account in the online mall consumption platform is extracted, the consumption priority weight coefficient of each user in the online mall consumption platform to each merchant is analyzed, reliable reference data are provided for calculating the comprehensive exchange priority coefficient of each merchant in each user account in the user accounts in the later period, meanwhile, the historical exchange information of each user account in the online mall consumption platform is extracted, the comprehensive exchange priority coefficient of each merchant in each user account in the online mall consumption platform is calculated, and the merchants are correspondingly screened by comparing with each user account in the online mall consumption platform on the screening line, so that the consumption demand of the users in the platform is met, and the credit exchange experience of the users to the online mall consumption platform is improved.
Step S5, obtaining the member grade of each user account in the online shopping mall consumption platform, screening each redemption lottery ticket satisfying the corresponding user member grade in the screening merchants corresponding to each user account in the online shopping mall consumption platform, and recording the redemption lottery tickets satisfying the corresponding user member grade in each screening merchant corresponding to each user account.
Further, after the step of screening each redemption lottery meeting the corresponding user member level in the merchant house corresponding to each user account in the shopping mall consumption platform on the screening line, the method comprises the following steps;
counting the eligible lottery tickets in the screening merchants corresponding to each user account number in the online shopping mall consumption platform, and forming an eligible lottery ticket collection w in the screening merchants corresponding to each user account number in the online shopping mall consumption platformib′={wib′1,wib′2,...,wib′f,...,wib′k},wib′fThe method is represented as that the ith user account number in the online shopping mall consumption platform corresponds to the f & th redemption-compliant lottery ticket in the screening merchant.
And step S6, extracting the required points of the screened merchants corresponding to the user accounts in the online shopping mall consumption platform, and analyzing the exchange value ratio coefficients of the screened merchants corresponding to the user accounts in the online shopping mall consumption platform.
Further, the analysis mode of the conversion value ratio coefficient corresponding to each conversion certificate in the screening merchants by each user account in the online shopping mall consumption platform is as follows:
s61, extracting the required points of each redemption-eligible lottery ticket in the screening merchants corresponding to each user account in the online shopping mall consumption platform, and marking the required points of each redemption-eligible lottery ticket in the screening merchants corresponding to each user account in the online shopping mall consumption platform as wiQ′fWherein f is 1,2,. k;
s62, obtaining the member grade of each user account in the online shopping mall consumption platform, and extracting each merchant in the online shopping mall consumption platformThe point exchange proportion of each member grade and the point exchange proportion of the screened merchants corresponding to each user account in the online shopping mall consumption platform are screened, and the point exchange proportion of the screened merchants corresponding to each user account in the online shopping mall consumption platform is marked as epsiloni
S63, screening the required points w of each certificate matched with the exchange lottery in the merchant correspondingly to each user account in the online shopping mall consumption platformiQ′fScreening the credit exchange proportion epsilon of the merchant corresponding to each user account number in the online shopping mall consumption platformiSubstitution formula
Figure BDA0003560269030000131
Obtaining the exchange value ratio coefficient theta of each corresponding exchange lottery in the screened merchant corresponding to each user account in the online shopping mall consumption platformib′fWherein A isipFaceExpressed as the temporary integral number, delta, in the ith user account number in the online shopping mall consumption platform1、δ2Respectively expressed as the exchange value weight indexes of the temporary point and the normal point in the user account, AipGeneral assemblyExpressed as the total integrated number in the ith user account number in the online shopping mall consuming platform.
Specifically, the membership grade of each user account in the online mall consumption platform is obtained, each user account in the online mall consumption platform corresponds to each redemption-compliant lottery in the screening merchants, the required score of each redemption-compliant lottery in each user account corresponding to the screening merchants in the online mall consumption platform is extracted, and the exchange value ratio coefficient of each redemption lottery in each user account corresponding to the screening merchants is analyzed, so that the differentiation of platform score values is avoided, the score exchange loss of users is reduced, and the development of an on-line mall consumption platform score system is promoted.
And step S7, comparing the exchange value ratio coefficients of the corresponding screening merchants of the corresponding user accounts in the online shopping mall consumption platform with the exchange value ratio coefficients of the corresponding redemption-compliant lottery tickets, and performing exchange recommendation on the corresponding user accounts by using the screening lottery tickets with the conformity to redemption lottery tickets ranked at the front.
Further, the top-ranked eligible redemption tickets include top-five eligible redemption tickets.
Specifically, the exchange recommendation is carried out on the corresponding user account number by comparing and screening each exchange lottery with the top rank, so that the positivity of the exchange points of the user is improved, and the consumption viscosity of the user on an online shopping mall consumption platform is increased.
The invention also provides an online mall platform intelligent management system which comprises an account total point number acquisition module, an account temporary point number counting module, a historical consumption information extraction module, an exchange priority coefficient analysis module, a lottery ticket screening module, a lottery ticket exchange value ratio analysis module, a lottery ticket exchange recommendation module and a storage database, wherein the account total point number acquisition module is used for acquiring the total point number of the account;
the account total point number acquisition module is used for counting account information of each user in the online shopping mall consumption platform and extracting the total point number in each user account in the online shopping mall consumption platform;
the account number temporary point counting module is used for acquiring time for acquiring points in each user account number in the online shopping mall consumption platform, analyzing the residual valid period of the points acquired in each user account number in the online shopping mall consumption platform, and comparing and counting the temporary point in each user account number in the online shopping mall consumption platform;
the historical consumption information extraction module is used for extracting historical consumption information of each user account in the online shopping mall consumption platform and analyzing the consumption priority weight coefficient of each user in the online shopping mall consumption platform to each merchant;
the exchange priority coefficient analysis module is used for extracting historical exchange information of each user account in the online shopping mall consumption platform, calculating comprehensive exchange priority coefficients of all merchants in each user account in the online shopping mall consumption platform, screening merchants with the highest comprehensive exchange priority coefficients corresponding to all user accounts in the online shopping mall consumption platform, and respectively recording the merchants as corresponding to all user accounts;
the online shopping mall consumption platform comprises a plurality of online shopping mall consumption platforms, a plurality of online shopping mall consumption platforms and a plurality of online shopping mall consumption platforms, wherein the online shopping mall consumption platforms are used for storing online shopping mall consumption accounts, and the online shopping mall consumption platforms are used for storing online shopping mall consumption accounts;
the lottery ticket exchange value ratio analysis module is used for extracting the required points of the screened merchants corresponding to each user account in the online shopping mall consumption platform and analyzing the exchange value ratio coefficients of the screened merchants corresponding to each exchange lottery ticket corresponding to each user account in the online shopping mall consumption platform;
the exchange value ratio coefficient of each eligible exchange lottery in the screening merchants corresponding to each user account in the online shopping mall consumption platform is compared with each other by the exchange recommendation module, and each eligible exchange lottery with the top rank is screened to exchange and recommend to the corresponding user account.
The invention also provides a computer storage medium, wherein a computer program is recorded in the computer storage medium, and when the computer program runs in the memory of the server, the intelligent management method for the online mall platform is realized.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (10)

1. An online mall platform intelligent management method is characterized by comprising the following steps: the method comprises the following steps:
counting account information of each user in the online shopping mall consumption platform, and extracting total integral number in each user account in the online shopping mall consumption platform;
acquiring time for obtaining points in each user account number in an online shopping mall consumption platform, analyzing the residual effective period of the points obtained in each user account number in the online shopping mall consumption platform, and comparing and counting the current integral number in each user account number in the online shopping mall consumption platform;
extracting historical consumption information of each user account in the online shopping mall consumption platform, and analyzing the consumption priority weight coefficient of each user in the online shopping mall consumption platform to each merchant;
extracting historical exchange information of each user account in an online shopping mall consumption platform, calculating a comprehensive exchange priority coefficient of each merchant in each user account in the online shopping mall consumption platform, screening merchants with the highest comprehensive exchange priority coefficient corresponding to each user account in the online shopping mall consumption platform, and respectively recording the merchants as screening merchants corresponding to each user account;
acquiring the member grade of each user account in the online shopping mall consumption platform, screening each redemption lottery ticket meeting the corresponding user member grade in the screening merchant corresponding to each user account in the online shopping mall consumption platform, and respectively recording the redemption lottery tickets meeting the redemption lottery ticket in the screening merchant corresponding to each user account;
extracting the required points of the various qualified exchange lottery tickets in the screening merchants corresponding to the various user accounts in the online shopping mall consumption platform, and analyzing the exchange value ratio coefficient of the various qualified exchange lottery tickets in the screening merchants corresponding to the various user accounts in the online shopping mall consumption platform;
and comparing the exchange value ratio coefficients of the various eligible redemption lottery tickets in the screening merchants corresponding to the various user accounts in the online shopping mall consumption platform, and performing redemption recommendation on the various eligible redemption lottery tickets with the screening ranks higher to the corresponding user accounts.
2. The intelligent management method for the online mall platform according to claim 1, wherein: after the step of extracting the total integral number in each user account number in the online shopping mall consumption platform, the method comprises the following steps:
counting the total points of all user accounts in the online shopping mall consumption platform to form a total point set Ap in all user accounts in the online shopping mall consumption platformGeneral assembly={A1pGeneral assembly,A2pGeneral assembly,...,AipGeneral assembly,...,AnpGeneral assembly},AipGeneral assemblyExpressed as the total integral number in the ith user account number in the online shopping mall consuming platform.
3. The intelligent management method for the online mall platform according to claim 1, wherein: the comparison and statistics of the temporary integral scores of the user accounts in the online shopping mall consumption platform comprises the following steps:
s1, obtaining time of obtaining points in each user account number in the online shopping mall consumption platform, and forming a time set t of obtaining points in each user account number in the online shopping mall consumption platformip={tip1,tip2,...,tipj,...,tipm},tipjThe point obtaining time is expressed as the j-th point obtaining time in the ith user account number in the online shopping mall consuming platform, wherein i is 1, 2.
S2, setting the integration validity period T of the online shopping mall consumption platformIs provided withSubstituting into formula Ti′pj=TIs provided with-(tReal time-tipj) Obtaining the residual effective period T 'of each acquired point in each user account number in the online shopping mall consumption platform'ipjWherein t isReal timeExpressed as the current real time;
s3, comparing the residual effective period of each acquired point in each user account in the online shopping mall consumption platform with a set temporary time threshold, and if the residual effective period of a certain acquired point in a certain user account is less than or equal to the set temporary time threshold, indicating that the acquired point in the user account is a temporary point;
s4, counting the temporary points in each user account number in the online shopping mall consumption platform, and marking the temporary points in each user account number in the online shopping mall consumption platform as AipFaceWherein i is 1, 2.
4. The intelligent management method for the online mall platform according to claim 1, wherein: the method for extracting the historical consumption information of each user account in the online shopping mall consumption platform and analyzing the consumption priority weight coefficient of each user in the online shopping mall consumption platform to each merchant comprises the following specific steps:
h1, extracting each user in the online shopping mall consumption platformThe consumption times of each merchant in the historical consumption information of the account are counted, the consumption times of each merchant in the consumption information of each user account are marked as AiXvWherein v ═ 1,2,. u;
h2, extracting the consumption amount of each merchant in the historical consumption information of each user account in the online shopping mall consumption platform, counting the consumption amount of each merchant in the consumption information of each user account, and marking the consumption amount of each merchant in the consumption information of each user account as AiRv
H3, extracting the acquisition integral number corresponding to each merchant in the historical consumption information of each user account in the online shopping mall consumption platform, counting the acquisition integral number corresponding to each merchant in the user account consumption information, and marking the acquisition integral number corresponding to each merchant in the user account consumption information as AiP′v
H4, analyzing the consumption priority weight coefficient of each user to each merchant in the online shopping mall consumption platform
Figure FDA0003560269020000031
ξiavIs expressed as the consumption priority coefficient of the ith user to the vth merchant in the online mall consumption platform, lambdaX、λR、λPRespectively expressed as the influence scale factors corresponding to the consumption times, the consumption amount and the acquisition integral number.
5. The intelligent management method for the online mall platform according to claim 1, wherein: after the step of extracting the historical exchange information of each user account in the online shopping mall consumption platform, the method comprises the following steps:
g1, obtaining the exchange times of each merchant in the historical exchange information of each user account in the online shopping mall consumption platform, counting the exchange times of each merchant in the exchange information of each user account, and marking the exchange times of each merchant in the exchange information of each user account as A'iYv
G2, obtaining each user account in the online shopping mall consumption platformCounting the redemption point number of each merchant in the user account number redemption information, and marking the redemption point number of each merchant in the user account number redemption information as A'iQv
G3, converting the conversion times A 'of each merchant in the conversion information of each user account'iYvAnd the redemption point number A of each merchant in the redemption information of each user account'iQvSubstitution formula
Figure FDA0003560269020000032
Obtaining the exchange priority weight coefficient xi 'of each user to each merchant in the online mall consuming platform'ia′v
6. The intelligent management method for the online mall platform according to claim 1, wherein: the calculation mode of the comprehensive exchange priority coefficient of each merchant in each user account in the online shopping mall consumption platform is as follows:
consumption priority weighting coefficient xi of each user to each merchant in the online shopping mall consumption platformiavAnd the exchange priority weight coefficient xi 'of each user to each merchant in the online shopping mall consumption platform'ia′vSubstituting formula psi'ia′v=α*ξiav+β*ξ′ia′vObtaining the comprehensive exchange priority coefficient psi 'of each merchant in each user account number in the online shopping mall consumption platform'ia′vWherein alpha and beta are respectively expressed as priority influence weight coefficients corresponding to the user consumption information and the user exchange information.
7. The intelligent online mall platform management method according to claim 1, wherein: after the step of correspondingly screening various redemption lottery tickets meeting the corresponding user member grades in the merchants by using various user account numbers in the online shopping mall consumption platform is carried out, the steps comprise;
counting the exchange awards corresponding to each user account in the online shopping mall consumption platform and in the screening merchantsThe coupons form a set w of the lottery tickets conforming to exchange in the screening merchants corresponding to the user accounts in the online shopping mall consumption platformib′={wib′1,wib′2,...,wib′f,...,wib′k},wib′fThe method is represented as that the ith user account number in the online shopping mall consumption platform corresponds to the f & th redemption-compliant lottery ticket in the screening merchant.
8. The intelligent management method for the online mall platform according to claim 1, wherein: the analysis mode of the exchange value ratio coefficient corresponding to each exchange certificate in the screening merchants is as follows:
l1, extracting the required points of each redemption-eligible coupon in the screening merchants corresponding to each user account in the online shopping mall consumption platform, and marking the required points of each redemption-eligible coupon in the screening merchants corresponding to each user account in the online shopping mall consumption platform as wiQ′fWherein f is 1,2,. k;
l2, obtaining the member grade of each user account in the online mall consumption platform, extracting the credit exchange proportion of each merchant and each member grade in the online mall consumption platform, screening the credit exchange proportion of each screened merchant corresponding to each user account in the online mall consumption platform, and marking the credit exchange proportion of each screened merchant corresponding to each user account in the online mall consumption platform as epsiloni
L3, screening the required points w of each coupon meeting the exchange in the merchant correspondingly to each user account in the online shopping mall consumption platformiQ′fScreening the credit exchange proportion epsilon of the merchant corresponding to each user account number in the online shopping mall consumption platformiSubstitution formula
Figure FDA0003560269020000051
Obtaining the exchange value ratio coefficient theta of each corresponding exchange lottery in the screened merchant corresponding to each user account in the online shopping mall consumption platformib′fWherein A isipFaceExpressed as online mall expenseTemporary integral, delta, in the ith user account in the station1、δ2Respectively expressed as the exchange value weight indexes of the temporary point and the normal point in the user account, AipGeneral (1)Expressed as the total integrated number in the ith user account number in the online shopping mall consuming platform.
9. The utility model provides an online shopping mall platform intelligent management system which characterized in that: the method comprises the following steps:
an account total number of points acquisition module: the online shopping mall consumption platform system is used for counting account information of each user in the online shopping mall consumption platform and extracting total integral number in each user account in the online shopping mall consumption platform;
the account number temporary point number counting module: the online shopping mall consumption platform is used for acquiring time for obtaining points in each user account number in the online shopping mall consumption platform, analyzing the residual validity period of each obtained point in each user account number in the online shopping mall consumption platform, and comparing and counting the current period integral score in each user account number in the online shopping mall consumption platform;
the historical consumption information extraction module: the online shopping mall consumption platform management system is used for extracting historical consumption information of each user account in the online shopping mall consumption platform and analyzing consumption priority weight coefficients of each user in the online shopping mall consumption platform to each merchant;
the exchange priority coefficient analysis module: the online shopping mall customer service platform is used for extracting historical exchange information of each user account in the online shopping mall consumption platform, calculating comprehensive exchange priority coefficients of all merchants in each user account in the online shopping mall consumption platform, screening merchants with the highest comprehensive exchange priority coefficients corresponding to all user accounts in the online shopping mall consumption platform, and respectively recording the merchants as screening merchants corresponding to all user accounts;
the redemption ticket screening module is used for: the online shopping mall consumption platform is used for acquiring the member grade of each user account in the online shopping mall consumption platform, screening each exchange lottery meeting the corresponding user member grade in the shopping mall corresponding to each user account in the screening merchants, and respectively recording the exchange lottery meeting the exchange lottery in each screening merchant corresponding to each user account;
the lottery redemption value ratio analysis module: the system is used for extracting the required points of the qualified exchange lottery tickets in the screening merchants corresponding to the user accounts in the online shopping mall consumption platform, and analyzing the exchange value ratio coefficient of the qualified exchange lottery tickets in the screening merchants corresponding to the user accounts in the online shopping mall consumption platform;
the redemption lottery ticket redemption recommending module: the online shopping mall customer account matching and exchange recommendation method is used for comparing exchange value ratio coefficients of various matching exchange lottery tickets in screening merchants corresponding to various user accounts in an online shopping mall consumption platform, and screening various matching exchange lottery tickets with the top rank to exchange and recommend the corresponding user accounts.
10. A computer storage medium, characterized in that: the computer storage medium is burned with a computer program, and when the computer program runs in a memory of a server, the method for intelligently managing the online mall platform according to any one of claims 1 to 8 is implemented.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116823346A (en) * 2023-07-17 2023-09-29 广州百奕信息科技有限公司 Civil aviation digital asset public comprehensive service method based on blockchain technology

Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140289128A1 (en) * 2012-02-13 2014-09-25 Zheng-Xian Qiu Online point redemption and distribution system and method
CN104408647A (en) * 2014-11-29 2015-03-11 深圳市无微不至数字技术有限公司 Credit exchange method, credit exchange device and system
CN104463623A (en) * 2014-11-29 2015-03-25 深圳市无微不至数字技术有限公司 Accumulated point rewarding method and device and system
CN104599155A (en) * 2014-11-29 2015-05-06 深圳市无微不至数字技术有限公司 Credit exchange method, device and system
CN107274229A (en) * 2017-06-28 2017-10-20 北京地球城电子商务有限公司 Consumption data processing method and processing device
CN109118296A (en) * 2018-09-04 2019-01-01 南京星邺汇捷网络科技有限公司 Movable method for pushing, device and electronic equipment
CN109493107A (en) * 2018-09-21 2019-03-19 深圳市润隆实业有限公司 A kind of integral store of integrated Xian Xia trade company and application method
CN109829762A (en) * 2019-02-01 2019-05-31 上海星视度科技有限公司 A kind of accumulated point exchanging method and accumulated point exchanging device
CN109946980A (en) * 2017-12-20 2019-06-28 中国电信股份有限公司 Intelligent device management method, platform, system and computer readable storage medium
CN109978603A (en) * 2019-03-01 2019-07-05 泉州市优拓信息技术有限公司 A kind of accumulated consumption point management system
CN110084647A (en) * 2019-04-26 2019-08-02 四川富九辰科技有限公司 It is a kind of to fill the integral store consuming method that stood and system for automobile
CN110148023A (en) * 2019-05-15 2019-08-20 山大地纬软件股份有限公司 The electric power integral Method of Commodity Recommendation and system that logic-based returns
CN110503466A (en) * 2019-08-15 2019-11-26 深圳市云积分科技有限公司 A kind of consumer demographics' acquisition methods and device based on interactive event
CN111383053A (en) * 2020-03-04 2020-07-07 广州爆米科技有限公司 E-commerce point exchange system based on block chain technology
CN112907277A (en) * 2021-01-28 2021-06-04 家帮伴(天津)社区服务有限责任公司 System and method for reward and exchange of points according to consumption degree of consumable by user
CN112990982A (en) * 2021-04-14 2021-06-18 北京币格科技有限公司 Method and device for sharing points of small and medium-sized enterprises and electronic equipment

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140289128A1 (en) * 2012-02-13 2014-09-25 Zheng-Xian Qiu Online point redemption and distribution system and method
CN104408647A (en) * 2014-11-29 2015-03-11 深圳市无微不至数字技术有限公司 Credit exchange method, credit exchange device and system
CN104463623A (en) * 2014-11-29 2015-03-25 深圳市无微不至数字技术有限公司 Accumulated point rewarding method and device and system
CN104599155A (en) * 2014-11-29 2015-05-06 深圳市无微不至数字技术有限公司 Credit exchange method, device and system
CN107274229A (en) * 2017-06-28 2017-10-20 北京地球城电子商务有限公司 Consumption data processing method and processing device
CN109946980A (en) * 2017-12-20 2019-06-28 中国电信股份有限公司 Intelligent device management method, platform, system and computer readable storage medium
CN109118296A (en) * 2018-09-04 2019-01-01 南京星邺汇捷网络科技有限公司 Movable method for pushing, device and electronic equipment
CN109493107A (en) * 2018-09-21 2019-03-19 深圳市润隆实业有限公司 A kind of integral store of integrated Xian Xia trade company and application method
CN109829762A (en) * 2019-02-01 2019-05-31 上海星视度科技有限公司 A kind of accumulated point exchanging method and accumulated point exchanging device
CN109978603A (en) * 2019-03-01 2019-07-05 泉州市优拓信息技术有限公司 A kind of accumulated consumption point management system
CN110084647A (en) * 2019-04-26 2019-08-02 四川富九辰科技有限公司 It is a kind of to fill the integral store consuming method that stood and system for automobile
CN110148023A (en) * 2019-05-15 2019-08-20 山大地纬软件股份有限公司 The electric power integral Method of Commodity Recommendation and system that logic-based returns
CN110503466A (en) * 2019-08-15 2019-11-26 深圳市云积分科技有限公司 A kind of consumer demographics' acquisition methods and device based on interactive event
CN111383053A (en) * 2020-03-04 2020-07-07 广州爆米科技有限公司 E-commerce point exchange system based on block chain technology
CN112907277A (en) * 2021-01-28 2021-06-04 家帮伴(天津)社区服务有限责任公司 System and method for reward and exchange of points according to consumption degree of consumable by user
CN112990982A (en) * 2021-04-14 2021-06-18 北京币格科技有限公司 Method and device for sharing points of small and medium-sized enterprises and electronic equipment

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
YAJIE WANG: "An empirical research on the transmission mechanism of RMB exchange rate movement-prices", 《IEEE XPLORE》 *
王淼蒨: "社区生活垃圾分类的绿色账户激励效果研究——以上海市C区为例", 《中国优秀硕士学位论文全文数据库 (工程科技Ⅰ辑)》 *
王绍刚等: "基于区块链的商城积分系统方法研究", 《网络空间安全》 *
郑禹萌: "基于频繁项集算法的手机积分商城兑换系统设计与实现", 《中国优秀硕士学位论文全文数据库 (信息科技辑)》 *
陈涛: "河南联通宽带家园项目中积分商城模块的设计与实现", 《中国优秀硕士学位论文全文数据库 (信息科技辑)》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116823346A (en) * 2023-07-17 2023-09-29 广州百奕信息科技有限公司 Civil aviation digital asset public comprehensive service method based on blockchain technology
CN116823346B (en) * 2023-07-17 2024-04-05 广州百奕信息科技有限公司 Civil aviation digital asset public comprehensive service method based on blockchain technology

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