CN114612159B - 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 PDFInfo
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Abstract
The invention discloses an online mall consumption platform lottery integration exchange intelligent management method, a system and a computer storage medium.
Description
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 form 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 strategy 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 intelligent management method, system and computer storage medium for an online mall platform, which solve the problems in the background art.
In order to achieve the purpose, the invention provides an intelligent management method for an online mall platform, which 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 each obtained point in each user account number in the online shopping mall consumption platform, and comparing and counting the current integral score 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 various redemption lottery tickets meeting the corresponding user member grade in the shopping mall corresponding to each user account in the online shopping mall consumption platform, and recording the redemption lottery tickets meeting the redemption lottery ticket grade in each user account corresponding to each screening merchant;
extracting the required points of the various eligible redemption lottery tickets in the screening merchants corresponding to the user accounts in the online mall consuming platform, and analyzing the redemption value ratio coefficients of the various eligible redemption lottery tickets in the screening merchants corresponding to the user accounts in the online mall consuming platform;
and comparing exchange value ratio coefficients of the various eligible redemption lottery tickets in the screening merchants corresponding to the user accounts in the online shopping mall consumption platform, and performing redemption recommendation on the various eligible redemption lottery tickets with the screening ranks at the front 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 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 platform General assembly ＝{A 1 p General assembly ,A 2 p General assembly ,...,A i p General (1) ,...,A n p General assembly }，A i p General assembly Expressed 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, acquiring time for obtaining points in each user account number in an online shopping mall consumption platform,forming a time set t for obtaining points in each user account number in the online shopping mall consumption platform i p＝{t i p 1 ,t i p 2 ,...,t i p j ,...,t i p m }，t i p j Expressed as the time to get the point for the jth time in the ith user account in the online mall consumption platform, where i =1, 2.·, n;
s2, setting the integration validity period T of the online shopping mall consumption platform Is provided with Substituting into formula T' i p j ＝T Is provided with -(t Real time -t i p j ) Obtaining the residual effective period T 'of each acquired point in each user account number in the online shopping mall consumption platform' i p j Wherein t is Real time Expressed 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 A i p Face Wherein i =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 A i X v Wherein 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, and counting the consumption amountMarking the consumption amount of each merchant in the user account consumption information as A i R v ；
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 A i P′ v ；
H4, analyzing the consumption priority weight coefficient of each user to each merchant in the online shopping mall consumption platform
ξ i a v Expressed as the consumption priority coefficient, lambda, of the ith user to the vth merchant in the online mall consumption platform X 、λ R 、λ P Respectively expressed as the influence scale factors 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' i Y v ；
G2, obtaining the exchange point number of each merchant in the historical exchange information of each user account in the online shopping mall consumption platform, counting the exchange point number of each merchant in the exchange information of each user account, and marking the exchange point number of each merchant in the exchange information of each user account as A' i Q v ；
G3, converting the conversion times A 'of each merchant in the conversion information of each user account' i Y v And the redemption point number A of each merchant in the redemption information of each user account' i Q v Substitution formula
Obtaining the exchange priority weight coefficient xi 'of each user to each merchant in the online shopping mall consumption platform' i a′ v 。
In a possible design, the calculation method of the comprehensive exchange priority coefficient of each merchant in each user account in the online mall consumption platform is as follows:
consumption priority weighting coefficient xi of each user to each merchant in the online shopping mall consumption platform i a v And the exchange priority weight coefficient xi 'of each merchant from each user in the online shopping mall consumption platform' i a′ v Substituting formula psi' i a′ v ＝α*ξ i a v +β*ξ′ i a′ v Obtaining the comprehensive exchange priority coefficient psi 'of each merchant in each user account number in the online shopping mall consumption platform' i a′ v Wherein 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 platform i b′＝{w i b′ 1 ,w i b′ 2 ,...,w i b′ f ,...,w i b′ k }，w i b′ f The 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 lottery in the screening merchants corresponding to each user account number in the online shopping mall consumption platformAnd marking the required points of each qualified redemption lottery ticket in the screened shop corresponding to each user account number in the online shopping mall consumption platform as w i Q′ f Wherein f =1,2, ·, k;
l2, obtaining the member grade of each user account in the online mall consumption platform, extracting the point exchange proportion of each merchant and each member grade in the online mall consumption platform, screening the point exchange proportion of each screened merchant corresponding to each user account in the online mall consumption platform, and marking the point exchange proportion of each screened merchant corresponding to each user account in the online mall consumption platform as epsilon i ；
L3, correspondingly screening the required integral number w of each redemption lottery ticket in each merchant according with each user account number in the online shopping mall consumption platform i Q′ f Screening the credit exchange proportion epsilon of the merchant corresponding to each user account number in the online shopping mall consumption platform i Substitution formula
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 platform i b′ f Wherein A is i p Face Expressed as the temporary integral number, delta, in the ith user account number in the online shopping mall consumption platform 1 、δ 2 Respectively expressed as exchange value weight indexes of temporary points and normal points in the user account, A i p General (1) Expressed 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 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.
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) According to the online mall platform intelligent management method, the online mall platform intelligent management system and the computer storage medium, the total points and the temporary points in the user accounts in the online mall consumption platform are counted, so that the temporary points in the user accounts can be intuitively known, the problem of point zero clearing caused by the fact that the user does not use the temporary points in time is solved, a foundation is laid for later analysis and screening of exchange value ratio coefficients of all merchants according with exchange lottery tickets, historical consumption information of all the user accounts in the online mall consumption platform is extracted, the consumption priority coefficient of all the merchants of the users in the online mall consumption platform is analyzed, reliable reference data are provided for later calculation of the comprehensive exchange priority coefficient of all the merchants in all the user accounts, meanwhile, the historical exchange information of all the user accounts in the online mall consumption platform is extracted, the comprehensive screening exchange priority coefficient of all the merchants in all the user accounts in the online mall consumption platform is calculated, and the corresponding merchant screening priority coefficient of all the users in the online mall consumption platform is compared, the consumption demands of the merchants in the online mall platform are met, and the consumption experience of the users on the online mall on the exchange platform is increased.
(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 are briefly introduced below, and it is obvious that the drawings in the description below 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 a 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:
s1, counting account information of each user in an online mall consumption platform, extracting total points in each user account in the online mall consumption platform, counting the total points in each user account in the online mall consumption platform, and forming a total point set Ap in each user account in the online mall consumption platform General (1) ＝{A 1 p General assembly ,A 2 p General assembly ,...,A i p General assembly ,...,A n p General assembly }，A i p General assembly Expressed as the total integrated number in the ith user account number in the online shopping mall consuming platform.
And S2, acquiring time for obtaining points in each user account number in the 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 temporary accumulation 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 for obtaining points in each user account number in the online shopping mall consumption platform, and forming a time set t for obtaining points in each user account number in the online shopping mall consumption platform i p＝{t i p 1 ,t i p 2 ,...,t i p j ,...,t i p m }，t i p j Expressed as the time to get the point for the jth time in the ith user account in the online mall consumption platform, where i =1, 2.·, n;
s22, setting the integration validity period T set by the online mall consumption platform Is provided with Substituted into formula T' i p j ＝T Is provided with -(t Real time -t i p j ) Obtaining the residual effective period T 'of each acquired point in each user account number in the online shopping mall consumption platform' i p j Wherein t is Real-time Expressed as the current real time;
s23, comparing the residual effective period of each obtained 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 obtained point in a certain user account is less than or equal to the set temporary time threshold, indicating that the obtained point in the user account is temporary;
s24, counting the temporary integral number in each user account number in the online shopping mall consumption platform, and marking the temporary integral number in each user account number in the online shopping mall consumption platform as A i p Face Wherein i =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 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 history of each user account in the online shopping mall consumption platformThe consumption times of each merchant in the consumption information are counted, the consumption times of each merchant in the consumption information of each user account are marked as A i X v Wherein v =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 A i R v ；
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 A i P′ v ；
S34, analyzing the consumption priority weight coefficient of each user to each merchant in the online shopping mall consumption platform
ξ i a v Expressed as the consumption priority coefficient, lambda, of the ith user to the vth merchant in the online mall consumption platform X 、λ R 、λ P Respectively expressed as the influence scale factors corresponding to the consumption times, the consumption amount and the acquisition integral number.
And S4, extracting historical exchange information of each user account in the online mall consumption platform, calculating comprehensive exchange priority coefficients of all merchants in each user account in the online mall consumption platform, screening merchants with the highest comprehensive exchange priority coefficients corresponding to all user accounts in the online mall consumption platform, and marking as screened merchants corresponding to all user accounts respectively.
Further, after the step of extracting the historical exchange information of each user account in the online shopping mall consuming platform, the method includes:
s41, acquiring the exchange times of each merchant in the historical exchange information of each user account in the online shopping mall consumption platform, and counting the exchange times of each user accountThe conversion times of all merchants in the conversion information are marked as A 'in the conversion information of all user account numbers' i Y v ；
S42, obtaining the exchange score number of each merchant in the historical exchange information of each user account in the online shopping mall consumption platform, counting the exchange score number of each merchant in the exchange information of each user account, and marking the exchange score number of each merchant in the exchange information of each user account as A' i Q v ；
S43, converting the conversion times A 'of each merchant in the conversion information of each user account' i Y v And the redemption score A 'of each merchant in the redemption information of each user account number' i Q v Substitution formula
Obtaining the exchange priority weight coefficient xi 'of each user to each merchant in the online shopping mall consumption platform' i a′ v 。
Further, the calculation mode of the comprehensive exchange priority coefficient of each merchant in each user account in the online mall consumption platform is as follows:
consumption priority weighting coefficient xi of each merchant for each user in the online shopping mall consumption platform i a v And the exchange priority weight coefficient xi 'of each merchant from each user in the online shopping mall consumption platform' i a′ v Substituting formula psi' i a′ v ＝α*ξ i a v +β*ξ′ i a′ v Obtaining the comprehensive exchange priority coefficient psi 'of each merchant in each user account number in the online shopping mall consumption platform' i a′ v Wherein alpha and beta are respectively expressed as priority influence weight coefficients corresponding to the user consumption information and the user exchange information.
Specifically, historical consumption information of each user account in the online mall consumption platform is extracted, consumption priority coefficients of each user to each merchant in the online mall consumption platform are analyzed, reliable reference data are provided for calculating comprehensive exchange priority coefficients of each merchant in each user account in later period, meanwhile, historical exchange information of each user account in the online mall consumption platform is extracted, the comprehensive exchange priority coefficients of each merchant in each user account in the online mall consumption platform are calculated, and the merchants are correspondingly screened by comparing with each user account in the online mall consumption platform, so that the consumption requirements of the users in the platform are met, and the accumulated point exchange experience of the users to the online mall consumption platform is improved.
And S5, acquiring the member grade of each user account in the online shopping mall consumption platform, screening various exchange lottery tickets meeting the corresponding user member grade in the screening merchants corresponding to each user account in the online shopping mall consumption platform, and respectively recording the exchange lottery tickets meeting the exchange lottery ticket grade in the screening merchants 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 redemption lottery tickets in the screening merchants corresponding to the user account numbers in the online shopping mall consumption platform, and forming an eligible redemption lottery ticket set w in the screening merchants corresponding to the user account numbers in the online shopping mall consumption platform i b′＝{w i b′ 1 ,w i b′ 2 ,...,w i b′ f ,...,w i b′ k }，w i b′ f The 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 S6, extracting the required points of the various 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 coefficients of the various qualified exchange lottery tickets in the screening 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 which are in accordance with the exchange lottery tickets in the screening merchants and correspond to the user accounts in the online shopping mall consumption platform, and corresponding the user accounts in the online shopping mall consumption platform to the required points which are in accordance with the exchange lottery tickets in the screening merchantsNumber mark w i Q′ f Wherein f =1,2, ·, k;
s62, obtaining member grades of all user account numbers in the online shopping mall consumption platform, extracting point exchange proportion of all merchants and all member grades in the online shopping mall consumption platform, screening the point exchange proportion of all user account numbers in the online shopping mall consumption platform corresponding to the screened merchants, and marking the point exchange proportion of all user account numbers in the online shopping mall consumption platform corresponding to the screened merchants as epsilon i ；
S63, correspondingly screening the required points w meeting the exchange lottery in the merchants by each user account in the online shopping mall consumption platform i Q′ f Screening the credit exchange proportion epsilon of the merchant corresponding to each user account number in the online shopping mall consumption platform i Substituting into formula
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 platform i b′ f Wherein A is i p Face Expressed as the temporary integral number, delta, in the ith user account number in the online shopping mall consumption platform 1 、δ 2 Respectively expressed as the exchange value weight indexes of the temporary point and the normal point in the user account, A i p General assembly Expressed as the total integral 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 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 exchange-eligible lottery tickets, and carrying out exchange recommendation on the corresponding user accounts of the corresponding exchange-eligible lottery tickets with the screening ranks higher.
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 by comparing and screening the exchange lottery tickets with the top rank, so that the positivity of the user for exchanging the credits 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 integral number acquisition module is used for counting account information of each user in the online shopping mall consumption platform and extracting the total integral 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 mall consumption platform, calculating comprehensive exchange priority coefficients of all merchants in all user accounts in the online mall consumption platform, screening merchants with the highest comprehensive exchange priority coefficients corresponding to all user accounts in the online mall consumption platform, and respectively marking as screened merchants corresponding to all user accounts;
the online shopping mall consumption platform comprises a plurality of online shopping mall consumption platforms, a plurality of exchange lottery ticket screening modules and a plurality of online shopping mall consumption platforms, wherein the online shopping mall consumption platforms are provided with a plurality of online shopping mall consumption platforms;
the lottery exchange value ratio analysis module is used for extracting the required points which are in line with the exchange lottery in the screening merchants corresponding to the user account numbers in the online shopping mall consumption platform, and analyzing the exchange value ratio coefficients which are in line with the exchange lottery in the screening merchants corresponding to the user account numbers 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 illustrative and explanatory only of the present invention, and it is intended that the present invention cover modifications, additions, or substitutions by those skilled in the art, without departing from the spirit of the invention or exceeding the scope of the claims.
Claims (7)
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 to each merchant in the online shopping mall consumption platform;
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;
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:
acquiring 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' i Y v ；
Acquiring the exchange point number of each merchant in the historical exchange information of each user account in the online shopping mall consumption platform, counting the exchange point number of each merchant in the exchange information of each user account, and marking the exchange point number of each merchant in the exchange information of each user account as A' i Q v ；
The conversion times A 'of each merchant in the conversion information of each user account number' i Y v And the redemption point number A of each merchant in the redemption information of each user account' i Q v Substitution formula
Obtaining the exchange priority weight coefficient xi 'of each user to each merchant in the online shopping mall consumption platform' i a′ v ；
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 platform i a v And the exchange priority weight coefficient xi 'of each merchant from each user in the online shopping mall consumption platform' i a′ v Substituting formula psi' i a′ v ＝α*ξ i a v +β*ξ′ i a′ v Obtaining the comprehensive exchange priority coefficient psi 'of each merchant in each user account number in the online shopping mall consumption platform' i a′ v Wherein alpha and beta are respectively expressed as priority influence weight coefficients corresponding to the user consumption information and the user exchange information;
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 eligible redemption lottery tickets in the screening merchants corresponding to the user accounts in the online mall consuming platform, and analyzing the redemption value ratio coefficients of the various eligible redemption lottery tickets in the screening merchants corresponding to the user accounts in the online mall consuming platform;
the analysis mode of the exchange value ratio coefficient corresponding to each exchange certificate in the screening merchants is as follows:
extracting the required points of the various eligible redemption lottery tickets in the screening merchants corresponding to the user accounts in the online shopping mall consumption platform, and marking the required points of the various eligible redemption lottery tickets in the screening merchants corresponding to the user accounts in the online shopping mall consumption platform as w i Q′ f Wherein f =1,2,. -, k;
obtaining the member grade of each user account number in the online mall consuming platform, extracting the point exchange proportion of each merchant and each member grade in the online mall consuming platform, screening the point exchange proportion of each merchant corresponding to each user account number in the online mall consuming platform, and marking the point exchange proportion of each user account number in the online mall consuming platform corresponding to each screened merchant as epsilon i ；
Will go online to the mallThe required points w meeting the redemption lottery tickets in the merchants are correspondingly screened by each user account in the consumption platform i Q′ f Screening the credit exchange proportion epsilon of the merchant corresponding to each user account number in the online shopping mall consumption platform i Substitution formula
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 platform i b′ f Wherein A is i p Face Expressed as the temporary integral number, delta, in the ith user account number in the online shopping mall consumption platform 1 、δ 2 Respectively expressed as the exchange value weight indexes of the temporary point and the normal point in the user account, A i p General assembly The total integral number of the ith user account number in the online shopping mall consumption platform is represented;
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 online mall platform management method 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 platform General (1) ＝{A 1 p General (1) ,A 2 p General assembly ,...,A i p General assembly ,...,A n p General (1) }，A i p General assembly Expressed as the total integrated 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 for obtaining points in each user account number in an online shopping mall consumption platform, and forming a time set t for obtaining points in each user account number in the online shopping mall consumption platform i p＝{t i p 1 ,t i p 2 ,...,t i p j ,...,t i p m }，t i p j Expressed as the time to get the point for the jth time in the ith user account in the online mall consumption platform, where i =1, 2.·, n;
s2, setting the integration validity period T set by the online shopping mall consumption platform Is provided with Substituting into formula T i ′p j ＝T Is provided with -(t Real time -t i p j ) Obtaining the residual effective period T of each acquired point in each user account number in the online shopping mall consumption platform i ′p j Wherein t is Real time Expressed 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 A i p Face Wherein i =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 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 counting the consumption times of each user account in the consumption information of each user accountThe consumption times of each merchant are marked as A i X v Wherein 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 A i R v ；
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 A i P′ v ；
H4, analyzing the consumption priority weight coefficient of each user to each merchant in the online shopping mall consumption platform
ξ i a v Expressed as the consumption priority coefficient, lambda, of the ith user to the vth merchant in the online mall consumption platform X 、λ R 、λ P Respectively expressed as the influence proportion coefficient corresponding to the consumption times, the consumption amount and the acquisition integral number.
5. 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 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 platform i b′＝{w i b′ 1 ,w i b′ 2 ,...,w i b′ f ,...,w i b′ k }，w i b′ f Expressed as the f-th user account number in the screening shop corresponding to the ith user account number in the online shopping mall consumption platformIn line with redeeming lottery tickets.
6. An online mall platform intelligent management system for performing the online mall platform intelligent management method according to claim 1, wherein: 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 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 system 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 to each merchant in the online shopping mall consumption platform;
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 conformity exchange lottery ticket screening module: 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 comprises: 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.
7. A computer storage medium, characterized in that: the computer storage medium is burned with a computer program, and the computer program realizes an online mall platform intelligent management method according to any one of claims 1 to 5 when running in a memory of a server.
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