CN110443687A - A kind of e-commerce platform based on big data - Google Patents
A kind of e-commerce platform based on big data Download PDFInfo
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- CN110443687A CN110443687A CN201910739996.0A CN201910739996A CN110443687A CN 110443687 A CN110443687 A CN 110443687A CN 201910739996 A CN201910739996 A CN 201910739996A CN 110443687 A CN110443687 A CN 110443687A
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- G06Q—INFORMATION 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
- G06Q30/00—Commerce
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Abstract
The present invention discloses a kind of e-commerce platform based on big data, the distributing management platform for managing cloud platform including rear end and being connected with back-stage management cloud platform, distributing management platform include that image obtains acquisition module, image analysis contrast module, product features building module, platform management module, Cloud Server, distribution client terminal and configuration database;Image Acquisition obtains module and connect respectively with product features building module and image analysis contrast module, configuration database is connect with image analysis contrast module, product features building module, several distribution client terminals, platform management module and Cloud Server respectively, and platform management module is connect with distribution client terminal and Cloud Server respectively.The present invention is by the purchase personnel of each age group and each gender in each distribution region of statistics to the purchase situation of each commercial grade under each type of merchandise, reasonably commodity to be distributed to different hotel owners, the speed of sale is improved, and realizes the rationalization distribution to commodity distribution.
Description
Technical field
The invention belongs to technical field of electronic commerce, are related to a kind of e-commerce platform based on big data.
Background technique
E-commerce typically refers in the extensive trade activity in all parts of the world, in the open network environment in internet
Under, it is based on client-side/server-side application mode, both parties carry out various commercial activities with not meeting, realize the net of consumer
Online transaction and online e-payment and various commercial activitys, transaction, finance activities and phase between upper shopping, trade company
The novel commercial operation pattern of the movable one kind of the integrated service of pass.
Existing e-commerce realizes distribution processing commodity by cooperating with partner during merchandise sales, but existing
There are distribution processing commodity that can not be closed according to each distribution ground consumer groups to the commercial grade under each type of merchandise and the type of merchandise
The distribution commodity of reason lead to the presence of the need that the quantity that the commodity that part distribution client is bought are bought is much smaller than local purchase crowd
It asks, and the commodity amount that other distribution clients are sold is far below the commodity amount bought, since merchandise sales lag leads to quotient
Product can not be sold off within the defined shelf-life, and slow, distribution planning reasonability that there are merchandise sales speed is poor and distributes client
The problems such as sale interests at end are poor now designs a kind of e-commerce platform based on big data in order to solve problem above.
Summary of the invention
The purpose of the present invention is to provide a kind of e-commerce platform based on big data, pass through each distribution client of statistics
The commodity amount that the purchase personnel of each gender and age bracket buy each commercial grade under each type of merchandise in end regions carries out
Analysis, and the corresponding commodity amount of each commercial grade under each type of merchandise of sale is counted, it is corresponding that each commercial grade can be obtained
The comprehensive tendency satisfaction coefficient of user, each commercial grade with each quotient under goods proportionality coefficient and each type of merchandise that need to be dispensed
The corresponding commodity amount of product grade, solving e-commerce platform in the prior art can not be according to the feelings of each distribution client sale
Condition carries out reasonably distributing commodity, and poor, merchandise sales speed that there are commodity distribution reasonability is slowly and each client of distributing is sold
The low problem of the interests of commodity.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of e-commerce platform based on big data, including rear end management cloud platform and distributing management platform, after described
End pipe reason cloud platform and distributing management platform are connected to the network by wireless communication;
The distributing management platform includes that image obtains acquisition module, image analysis contrast module, product features building mould
Block, platform management module, Cloud Server, several distribution client terminals and configuration database;
Described image acquisition obtains module and connect respectively with product features building module and image analysis contrast module, configures
Database respectively with image analysis contrast module, product features building module, several distribution client terminals, platform management module and
Cloud Server connection, platform management module are connect with distribution client terminal and Cloud Server respectively;
It is high-definition camera that described image, which obtains acquisition module, is mounted in each distribution hotel owner, for in entrance hotel owner
The personnel for carrying out commodity purchasing carry out Image Acquisition, and acquire the commodity image of purchase personnel purchase, and by the purchaser of acquisition
The commodity image of member and purchase is sent to image analysis contrast module, while to each commodity etc. under the type of merchandise each in hotel owner
The corresponding commodity of grade carry out Image Acquisition, and the corresponding commodity image of each commercial grade under each type of merchandise of acquisition is sent
Module is constructed to product features;
Described image analysis contrast module is used to receive image and obtains the purchase personnel and purchase that acquisition module is sent
Commodity image, and purchase personnel's image of acquisition is subjected to feature extraction, the characteristics of image of the purchase personnel of extraction, which is sent to, matches
Database is set, the characteristic image of the purchase personnel stored in the characteristics of image and configuration database of the personnel that buy is compared,
The number of each characteristics of image that adds up corresponding purchase personnel purchase, at the same to the commodity image of received purchase personnel purchase into
Row feature extraction, and by the corresponding quotient of each commodity stored in the corresponding feature of purchase commodity image and configuration database of extraction
Product specific characteristic data acquisition system compares, and filters out with the commodity specific characteristic data acquisition system that stores in configuration database most
Commercial grade under the type of merchandise matched then counts the quantity for each commercial grade that this purchase personnel buy under each type of merchandise,
The quantity of each commercial grade under the number and each type of merchandise of purchase of purchase personnel and purchase is established into connection corresponding relationship,
And the corresponding commodity amount of each commercial grade under each type of merchandise of the accumulative purchase of the purchase personnel of statistics is sent to and is matched
Set database;
The product features building module is used to receive each quotient under each type of merchandise that image acquisition acquisition module is sent
The corresponding commodity image of product grade carries out feature extraction to the corresponding commodity image of each commercial grade under each type of merchandise, and
The feature of the corresponding commodity image of each commercial grade under each type of merchandise of extraction is established into commodity specific characteristic data acquisition system,
The corresponding commodity specific characteristic data acquisition system of each commercial grade under each type of merchandise is sent to by product features building module matches
Set database;
It is corresponding that the configuration database is used to store each commercial grade under each type of merchandise that each distribution client terminal is bought
Quantity and each type of merchandise of storage under the corresponding volume residual of each commercial grade, and be divided into several data storage cells,
Each data storage cell has corresponding distribution client terminal, and each data storage cell is stored with distribution hotel owner pin
The corresponding quantity of each commercial grade under each type of merchandise sold and bought, and store each commercial grade pair under each type of merchandise of purchase
Each commercial grade under each type of merchandise that the image information of the purchase personnel answered and each purchase personnel buy every time is corresponding
Commodity amount, while the feature for storing the corresponding purchase personnel of each hotel owner and each commercial grade pair under each type of merchandise of storage
The commodity specific characteristic data acquisition system answered, and store each commercial grade pair under each type of merchandise of the accumulative purchase of each purchase personnel
The commodity amount answered;
The distribution client terminal is for respectively distributing what hotel owner sold in region in real-time statistics configuration database
The corresponding quantity of each commercial grade under each type of merchandise, while counting the corresponding purchaser of each commercial grade under each type of merchandise
The age level of member, the gender for buying personnel and purchase personnel buy corresponding commercial grade under the type of merchandise, and by each quotient
The age level of the corresponding sales volume of each commercial grade under category type and each purchase personnel, the gender for buying personnel and each
Corresponding commercial grade is sent to platform management module under the type of merchandise of purchase personnel purchase, and will be each under each type of merchandise
The corresponding sales volume of commercial grade is sent to Cloud Server;
The cloud platform management module is used to receive each commodity etc. under each type of merchandise that each distribution client terminal is sent
The corresponding sales volume of grade and the gender and each commodity class for buying personnel's purchase bought the age level of personnel, buy personnel
The corresponding commercial grade of type extracts each commodity etc. under each type of merchandise that the distribution client is bought in commodity configuration database
The corresponding quantity of grade, according to the corresponding purchase quantity of commercial grade each under each type of merchandise and the quantity of sale, to count each
The corresponding volume residual of each commercial grade under the type of merchandise, and each commercial grade under each type of merchandise of statistics is corresponding
Volume residual is stored to commodity configuration database, and cloud platform management module is according to the age level of purchase personnel, purchase personnel
The corresponding commercial grade of the type of merchandise of gender and each purchase personnel purchase, the purchase personnel purchase counted under each age level are each
The corresponding commodity amount of commercial grade extracts all commodity classes of purchase personnel's purchase of each age group in commodity configuration database
The corresponding commodity amount of each commercial grade under type, and will be each under all type of merchandises of purchase personnel's purchase of each age group
Corresponding the first purchase of the commodity amount building commercial grade set B of commercial gradeLF(bLF1,bLF2,...,bLFf,...,bLFG),
BLFIt is expressed as the corresponding commodity amount set of each commercial grade of the purchase personnel purchase of LF age bracket, bLFF be expressed as
The purchase personnel of LF age bracket buy the commodity amount of f-th of commercial grade, and g is expressed as the corresponding total number of degrees of the type of merchandise
Amount, meanwhile, the gender of each purchase personnel is counted, by each commercial grade pair under each type of merchandise for counting each purchase personnel purchase
The second purchase of the commodity amount building commercial grade set C answeredp(cp1,cp2,...,cpf,...,cpG), p is expressed as purchase personnel
Gender, p be equal to 1, be expressed as male buy personnel, p be equal to 2, be expressed as women buy personnel, cpF is expressed as male or female
Property purchase personnel buy f-th of commercial grade commodity amount, cloud platform management module by first buy commercial grade set BLF
With the second purchase commercial grade set CpIt is sent to Cloud Server;
It is corresponding that the Cloud Server is used to receive each commercial grade under each type of merchandise that distribution client terminal end is sent
Sales volume, and extract each commercial grade under each type of merchandise that each distribution client terminal stored in configuration database is bought
Corresponding quantity establishes distribution basic item level data set USv(uSv1,uSvx2,...,uSvG), USvIt is expressed as S points
It sells client and sells the corresponding commodity amount set of each commercial grade, u under v-th of type of merchandiseSvG is expressed as the S distribution visitor
The corresponding commodity amount of g-th of commercial grade under v-th of type of merchandise is sold at family end, counts each distribution client section sale not
The corresponding merchandise sales total quantity with commercial grades different under the type of merchandiseIt is total to filter out merchandise sales
The maximum T of quantityS, and by maximum TSCorresponding distribution client distributes client as standard, and other distribution clients are corresponding
Distribution commodity total quantity set and standard distribute commodity sum duration set Uxv(uxv1,uxv2,...,uxvG) it compares, obtains
It distributes commodity total quantity and compares set U 'Sv(u′Sv1,u′Sv2,...,u′SvG), S=1,2,3 ..., and x ∈ S, u 'xvG is indicated
In quantity and standard distribution client for the S g-th of the commercial grade distributed in client under v-th of type of merchandise sale
The difference of the quantity of g-th of commercial grade sale under v-th of type of merchandise;Meanwhile counting each commodity under the same type of merchandise
The corresponding sales volume of grade constitutes distribution type of merchandise set YS(yS1,yS2,...,ySV), ySV is expressed as the S distribution visitor
The corresponding merchandising quantity of v-th of type of merchandise is sold at family end, according to distribution type of merchandise set and gathers the basic quotient of distribution
Product level data set counts the corresponding sale completed percentage coefficient of each type of merchandise, each distribution client that Cloud Server will acquire
Hold the corresponding sale completed percentage coefficient of each type of merchandise of saleIt is sent to rear end management cloud platform, and by maximum TSIt is right
Standard distribution commodity sum duration set and distribution commodity total quantity comparison set in the distribution client answered are sent to backstage
Manage cloud platform;
Meanwhile Cloud Server receives the first purchase commercial grade set B that cloud platform management module is sentLFWith the second purchase
Commercial grade set Cp, according to the first purchase commercial grade set BLFAnd it is corresponding each that personnel are respectively bought in combination configuration database
The corresponding commodity amount of commercial grade, statistics purchase personnel buy the personnel amount of each commercial grade in each age group, and will purchase
The age bracket set D of the corresponding personnel amount building commodity purchasing grade of the commercial grade boughtLF(dLF1,dLF2,...,
dLFf,...,dLFG), dLFF is expressed as buying the purchase personnel of LF age bracket the personnel amount of f-th of commercial grade, and
Extract purchase the corresponding personnel's gender of commercial grade, according under the gender of different purchase personnel to the corresponding quotient of each commercial grade
The gender set R of the purchase situation building commodity purchasing grade of productp(rp1,rp2,...,rpf,...,rpG), p is expressed as purchaser
The gender of member is 1 or 2, p=1, is expressed as male and buys personnel, p=2 is expressed as women and buys personnel, rpF is expressed as buying
The personnel amount of the corresponding sex of f-th of commercial grade, and by the age bracket set D of commodity purchasing gradeLFAnd commodity
Buy the gender set R of gradepIt is sent to rear end management cloud platform;
The Cloud Server is according to the age bracket set D of commodity purchasing gradeLF, commodity purchasing grade gender set Rp、
Standard distributes commodity sum duration set Uxv, distribution commodity total quantity compare set U 'SvAnd combine the corresponding sale of each type of merchandise
Completed percentage coefficientThe comprehensive tendency satisfaction coefficient of the corresponding user of each commercial grade is counted, Cloud Server is objective by each distribution
The comprehensive tendency satisfaction coefficient ψ of the corresponding user of each commercial grade at family endSfIt is sent to rear end management cloud platform;
The rear end management cloud platform is used to receive each type of merchandise of each distribution client sale of Cloud Server transmission
Corresponding sale completed percentage coefficientThe comprehensive tendency satisfaction system of the corresponding user of each commercial grade of each distribution client
Number, maximum TSStandard distribution commodity sum duration set, distribution commodity total quantity comparison set, quotient in corresponding distribution client
The age bracket set D of product purchase gradeLFWith the gender set R of commodity purchasing gradep, back-stage management cloud platform is according to maximum TSIt is right
Standard distribution commodity sum duration set, distribution commodity total quantity comparison set, sale completed percentage in the distribution client answered
CoefficientAnd the comprehensive tendency satisfaction coefficient ψ of the corresponding user of each commercial grade of each distribution clientSf, count each distribution
Proportionality coefficient with goods of the client to each commercial grade under the same type of merchandiseψSfIt is expressed as each commercial grade of f of the S distribution client
The comprehensive tendency satisfaction coefficient of corresponding user,It is corresponding to be expressed as the S distribution client's v-th of type of merchandise of section sale
Sell completed percentage coefficient, uSvF is expressed as f-th of commercial grade pair under the S distribution client v-th of type of merchandise of sale
The commodity amount answered, u 'xvF is expressed as f-th of commercial grade sale in the S distribution client under v-th of type of merchandise
The difference of the quantity of g-th of commercial grade sale in quantity and standard distribution client under v-th of type of merchandise, uxvF is indicated
For the maximum T of merchandise sales total quantitySF-th of commercial grade sale in corresponding distribution client under v-th of type of merchandise
Quantity, the commodity of each commercial grade under the same type of merchandise that back-stage management cloud platform is sold according to each distribution client
With goods proportionality coefficient, the quantity W for dispensing the commercial grade is calculatedSvf=β uSvf*φSvf, β is expressed as taking with goods scale factor
1.15, wherein each distribution client is equal to distribution visitor to the proportionality coefficient with goods of each commercial grade under the same type of merchandise
Family end is to service demand factor needed for each commercial grade sale under each type of merchandise;
Rear end manages cloud platform and based on the received the age bracket set D of commodity purchasing gradeLF, count each distribution client
Influence coefficient of the age bracket to merchandise sales in the range of place, and the gender set R of commodity purchasing grade based on the receivedp,
Influence coefficient of the gender to merchandise sales in the range of counting where each distribution client.
Further, the commodity specific characteristic data acquisition system is Ai(aik1,aik2,...,aikj,...,aiKm), i=
1,2 ..., h, h are expressed as the type of the type of merchandise, and k is expressed as the commercial grade under each type of merchandise, k=1,2 ...,
F ..., g, aiKj is expressed as corresponding j-th of the product features of k-th of commercial grade under i-th of type of merchandise, different commodity
Feature respective weights are respectively gaik1,gaik2,...,gaikj,...,gaiKm, and gaik1+gaik2+...+gaikj+...+
gaiKm=1.
Further, the calculation formula of the corresponding sale completed percentage coefficient of each type of merchandise isV=1,2 ..., v ',It is expressed as the S distribution client's section v-th of commodity of sale
The corresponding sale completed percentage coefficient of type, sale completed percentage coefficient is bigger, shows to sell each commodity under the type of merchandise
The commodity amount of grade is more, and v ' is expressed as the quantity of the type of merchandise of each distribution client sale, uSvG is expressed as S points
Sell the corresponding commodity amount of g-th of commercial grade under client v-th of type of merchandise of sale, ySV is expressed as the S distribution visitor
Sell the corresponding merchandising quantity of v-th of type of merchandise in family end.
Further, the meter of the comprehensive tendency satisfaction coefficient of the corresponding user of each commercial grade of the Cloud Server statistics
Calculating formula is
uSvF is expressed as the corresponding commodity number of f-th of commercial grade under the S distribution client v-th of type of merchandise of sale
Amount,It is expressed as the corresponding sale completed percentage coefficient of the S distribution client's v-th of type of merchandise of section sale, λ is expressed as comparing
Example coefficient factor, value is less than 1, dLFF is expressed as buying the purchase personnel of LF age bracket the personnel of f-th of commercial grade
Quantity, dLFfmaxIt is expressed as buying the most purchase grade institute of the corresponding purchase commodity amount of each commercial grade in LF age bracket
Corresponding purchase number,It is expressed as each age group and buys the corresponding purchase number summation of each commercial grade, rpf
It is expressed as the personnel amount of the corresponding sex of f-th of commercial grade of purchase, rpfmaxSex purchase is expressed as to use
Purchase number corresponding to the most purchase grade of the corresponding purchase commodity amount of each commercial grade is bought in family,
It is expressed as the corresponding purchase number summation of the accumulative each commercial grade of purchase of male and female, u 'SvF is expressed as the S distribution client
In the quantity and standard distribution client of f-th of commercial grade sale in end under v-th of type of merchandise under v-th of type of merchandise
F-th of commercial grade sale quantity difference.
Further, the calculation formula of influence coefficient of the age bracket to merchandise sales is
dLFF is expressed as buying the purchase personnel of LF age bracket the personnel amount of f-th of commercial grade, θLFIt is expressed as LF
Influence coefficient of the purchase personnel of age section to merchandise sales.
Further, the calculation formula of influence coefficient of the gender to merchandise sales isrpF is indicated
For the personnel amount of the corresponding sex of f-th of commercial grade of purchase, τpSex purchase personnel are expressed as to quotient
The influence coefficient of product sale.
Beneficial effects of the present invention:
A kind of e-commerce platform based on big data provided by the invention, compared with prior art, the electronic goods are flat
Platform passes through the commodity amount to each commercial grade under each each type of merchandise for distributing client sale, and screening merchandise sales
The maximum distribution client of total quantity according to distribution type of merchandise set and gathers distribution basic item level data set statistics
The corresponding sale completed percentage coefficient of each type of merchandise lays the foundation for later period merchandise sales analysis, can intuitively show each
The case where type of merchandise integrated marketing;
It is corresponding by the age level to purchase personnel, the type of merchandise of the gender and purchase personnel's purchase of buying personnel
Commercial grade analyzed, establish the first purchase commercial grade set and second purchase commercial grade set, and pass through first
Purchase commercial grade set and the second purchase commercial grade set establish the age bracket set and commodity of commodity purchasing grade respectively
Buy the gender set of grade, convenient for will buy the behavior of each commercial grade under each type of merchandise and the age of buyer and
Gender enumerate analysis, influence coefficient and gender influence coefficient to merchandise sales of the age of acquisition section to merchandise sales,
The purchasing demand of each age group and gender to each type of merchandise is shown according to gender and age, it being capable of intuitively merchandise sales
For age bracket crowd and the sale sex population that is directed to, realize vertical the buying to score of each age group purchase personnel
Analysis, and the purchase comparative analysis of display different sexes purchase personnel, can each gender of concentrated expression or age bracket to each purchase
The pro-gaze degree of commodity distributes commodity for later period e-commerce sample platform and provides reliable advisory opinion;
Age bracket set, the gender set of commodity purchasing grade, the standard distribution that Cloud Server passes through commodity purchasing grade
Commodity sum duration set, distribution commodity total quantity comparison collection, which merge, combines the corresponding sale completed percentage coefficient of each type of merchandise,
The comprehensive tendency satisfaction coefficient of the corresponding user of each commercial grade is counted, it is full by the comprehensive tendency of the corresponding user of each commercial grade
Meaning degree coefficient can intuitively show the commercial grade that public purchase user is chosen, further react each commercial grade phase
Pair sale be performed integrally situation, convenient for electronic goods back-stage management cloud platform according to purchase user tendency be satisfied with coefficient close
Each commercial grade under each type of merchandise of distribution of reason guarantees that the type of merchandise of each distribution client use and commercial grade are full
The consumption requirement of personnel, improves the speed of merchandise sales in sufficient region, realizes and distributes the reasonability that commodity are distributed.
In addition, the rear end management cloud platform of e-commerce passes through distribution commodity total quantity comparison set, sale completed percentage
Coefficient and the comprehensive tendency satisfaction coefficient of the corresponding user of each commercial grade of each distribution client etc., statistics is to each distribution visitor
Family end distribute each commercial grade under each type of merchandise with goods proportionality coefficient, and according to need to dispense with goods proportionality coefficient statistics
The corresponding commodity amount of each commercial grade under each type of merchandise, each commercial grade for the distribution commodity of later period each hotel owner provide
Guiding advisory opinion guarantees the case where electronic goods can be according to the commodity that each distribution client had previously been sold, reasonable to distribute
Commodity can distribute to the commodity of hotel owner and meet crowd's consumption of hotel owner region, realize reasonable distribution, and promote commodity
The benefit for the commodity sold most fastization of speed, and hotel owner is sold.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of schematic diagram of the e-commerce platform based on big data in the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
Refering to Figure 1, a kind of e-commerce platform based on big data, including rear end management cloud platform and distribution pipe
Platform, the rear end management cloud platform and distributing management platform are connected to the network by wireless communication;
Distributing management platform includes that image obtains acquisition module, image analysis contrast module, product features building module, puts down
Platform management module, Cloud Server, several distribution client terminals and configuration database;
Image Acquisition obtains module and connect respectively with product features building module and image analysis contrast module, configuration data
Library takes with image analysis contrast module, product features building module, several distribution client terminals, platform management module and cloud respectively
Business device connection, platform management module are connect with distribution client terminal and Cloud Server respectively.
Image obtain acquisition module be high-definition camera, be mounted in each distribution hotel owner, for entrance hotel owner in carry out
The personnel of commodity purchasing carry out Image Acquisition, and acquire the commodity image of purchase personnel purchase, and by the purchase personnel of acquisition with
And the commodity image of purchase is sent to image analysis contrast module, while to each commercial grade pair under the type of merchandise each in hotel owner
The commodity answered carry out Image Acquisition, and the corresponding commodity image of each commercial grade under each type of merchandise of acquisition is sent to quotient
Product feature construction module;
Image analysis contrast module is used to receive the commodity that image obtains purchase personnel and purchase that acquisition module is sent
Image, and purchase personnel's image of acquisition is subjected to feature extraction, the characteristics of image of the purchase personnel of extraction is sent to configuration number
According to library, the characteristic image of the purchase personnel stored in the characteristics of image and configuration database of the personnel that buy is compared, is added up
The number of the corresponding purchase personnel purchase of each characteristics of image, while the commodity image of received purchase personnel purchase is carried out special
Sign is extracted, and by each commodity stored in the corresponding feature of purchase commodity image and configuration database of extraction corresponding commodity spy
Different characteristic set compares, and filters out most matched with the commodity specific characteristic data acquisition system that stores in configuration database
Commercial grade under the type of merchandise then counts the quantity for each commercial grade that this purchase personnel buy under each type of merchandise, will purchase
The quantity of the number and each commercial grade under each type of merchandise of purchase of buying personnel and purchase establishes connection corresponding relationship, and will
The corresponding commodity amount of each commercial grade under each type of merchandise of the accumulative purchase of the purchase personnel of statistics is sent to configuration number
According to library.
Product features building module is used to receive each commodity etc. under each type of merchandise that image acquisition acquisition module is sent
The corresponding commodity image of grade carries out feature extraction to the corresponding commodity image of each commercial grade under each type of merchandise, and will mention
The feature of the corresponding commodity image of each commercial grade under each type of merchandise taken establishes commodity specific characteristic data acquisition system Ai
(aik1,aik2,...,aikj,...,aiKm), i=1,2 ..., h, h are expressed as the type of the type of merchandise, and k is expressed as each commodity
Commercial grade under type, k=1,2 ..., f ..., g, aiKj is expressed as k-th of commercial grade under i-th of type of merchandise
Corresponding j-th of product features, different product features respective weights are respectively gaik1,gaik2,...,gaikj,...,gaiKm,
And gaik1+gaik2+...+gaikj+...+gaiKm=1, product features construct module for each commodity etc. under each type of merchandise
The corresponding commodity specific characteristic data acquisition system of grade is sent to configuration database.
Configuration database is used to store the corresponding number of each commercial grade under each each type of merchandise for buying of distribution client terminal
The corresponding volume residual of each commercial grade under each type of merchandise is measured and stored, and is divided into several data storage cells, it is described
Data storage cell is identical as the distribution quantity of hotel owner in detection zone, compiles respectively to the data storage cell of division
Number, respectively 1,2,3 ..., n, each data storage cell have corresponding distribution client terminal, i.e., each data storage
Unit is identical as the distribution number of client terminal stored to the data storage cell, and each data storage cell is stored with
Distribution hotel owner sale quantity corresponding with commercial grade each under each type of merchandise of purchase, and store under each type of merchandise of purchase
Each quotient under each type of merchandise that the image information of the corresponding purchase personnel of each commercial grade and each purchase personnel buy every time
The corresponding commodity amount of product grade, while storing under the feature and each type of merchandise of storage of the corresponding purchase personnel of each hotel owner
The corresponding commodity specific characteristic data acquisition system of each commercial grade, and store under each type of merchandise of the accumulative purchase of each purchase personnel
The corresponding commodity amount of each commercial grade.
Distribution client terminal is for respectively distributing each quotient that hotel owner sells in region in real-time statistics configuration database
The corresponding quantity of each commercial grade under category type, while counting the corresponding purchase personnel's of each commercial grade under each type of merchandise
Age level, the gender for buying personnel and purchase personnel buy corresponding commercial grade under the type of merchandise, and by each commodity class
The age level of the corresponding sales volume of each commercial grade and each purchase personnel under type, the gender and each purchase for buying personnel
Corresponding commercial grade is sent to platform management module under the type of merchandise of personnel's purchase, and by each commodity under each type of merchandise
The corresponding sales volume of grade is sent to Cloud Server, and the age level is described using 5 years intervals as an age cut-point
The division of age level is respectively as follows: L1, L2 ..., LF, wherein the corresponding the range of age of LI is 15-20 years old, the LF corresponding age
Range be (10+5F)-(15+5F) year;
Cloud platform management module is used to receive each commercial grade pair under each type of merchandise that each distribution client terminal is sent
The type of merchandise pair of the age level of the sales volume and purchase personnel answered, the gender for buying personnel and each purchase personnel purchase
The commercial grade answered extracts each commercial grade pair under each type of merchandise that the distribution client is bought in commodity configuration database
The quantity answered, according to the corresponding purchase quantity of commercial grade each under each type of merchandise and the quantity of sale, to count each commodity
The corresponding volume residual of each commercial grade under type, and by the corresponding residue of each commercial grade under each type of merchandise of statistics
Quantity is stored to commodity configuration database, and cloud platform management module is according to the age level of purchase personnel, the gender of purchase personnel
Commercial grade corresponding with the type of merchandise of each purchase personnel purchase, the purchase personnel counted under each age level buy each commodity
The corresponding commodity amount of grade extracts in commodity configuration database under all type of merchandises for buying personnel's purchase of each age group
The corresponding commodity amount of each commercial grade, and by each age group purchase personnel purchase all type of merchandises under each commodity
Corresponding the first purchase of the commodity amount building commercial grade set B of gradeLF(bLF1,bLF2,...,bLFf,...,bLFG), BLFTable
It is shown as the corresponding commodity amount set of each commercial grade of the purchase personnel purchase of LF age bracket, bLFF is expressed as LF
The purchase personnel of age bracket buy the commodity amount of f-th of commercial grade, and g is expressed as the corresponding total grade quantity of the type of merchandise,
Meanwhile the gender of each purchase personnel is counted, each commercial grade under each type of merchandise for counting each purchase personnel purchase is corresponding
Commodity amount building second purchase commercial grade set Cp(cp1,cp2,...,cpf,...,cpG), p is expressed as purchase personnel's
Gender, p are equal to 1, are expressed as male and buy personnel, and p is equal to 2, is expressed as women and buys personnel, cpF is expressed as sex
Purchase personnel buy the commodity amount of f-th of commercial grade, and cloud platform management module buys commercial grade set B for firstLFWith
Second purchase commercial grade set CpIt is sent to Cloud Server.
Cloud Server is used to receive the corresponding sale of each commercial grade under each type of merchandise of distribution client terminal end transmission
Quantity, and it is corresponding to extract each commercial grade under each type of merchandise that each distribution client terminal stored in configuration database is bought
Quantity, establish distribution basic item level data set USv(uSv1,uSvx2,...,uSvG), USvIt is expressed as the S distribution visitor
Sell the corresponding commodity amount set of each commercial grade, u under v-th of type of merchandise in family endSvG is expressed as the S distribution client
The corresponding commodity amount of g-th of commercial grade under v-th of type of merchandise is sold, the different quotient of each distribution client section sale are counted
The corresponding merchandise sales total quantity of difference commercial grade under category typeFilter out merchandise sales total quantity
Maximum TS, and by maximum TSCorresponding distribution client distributes client as standard, and other are distributed corresponding point of client
It sells commodity sum duration set and standard distributes commodity sum duration set Uxv(uxv1,uxv2,...,uxvG) it compares, is distributed
Commodity total quantity compares set U 'Sv(u′Sv1,u′Sv2,...,u′SvG), S=1,2,3 ..., and x ∈ S, u 'xvG is expressed as S
V-th in the quantity and standard distribution client of g-th of commercial grade sale in a distribution client under v-th of type of merchandise
The difference of the quantity of g-th of commercial grade sale under the type of merchandise;Meanwhile counting each commercial grade pair under the same type of merchandise
The sales volume answered constitutes distribution type of merchandise set YS(yS1,yS2,...,ySV), ySV is expressed as the S distribution client pin
It sells v-th of type of merchandise corresponding merchandising quantity, according to distribution type of merchandise set and gathers distribution basic item grade
Data acquisition system counts the corresponding sale completed percentage coefficient of each type of merchandiseV=1,
2 ..., v ',It is expressed as the corresponding sale completed percentage coefficient of the S distribution client's v-th of type of merchandise of section sale, sale
Completed percentage coefficient is bigger, and the commodity amount for showing to sell each commercial grade under the type of merchandise is more, and v ' is expressed as each point
Sell the quantity of the type of merchandise of client sale, uSvG is expressed as the g under the S distribution client v-th of type of merchandise of sale
The corresponding commodity amount of a commercial grade, ySV is expressed as the S distribution client and sells the corresponding sale of v-th of type of merchandise
Commodity amount, the corresponding sale completed percentage coefficient of each type of merchandise for each distribution client sale that Cloud Server will acquireIt is sent to rear end management cloud platform, and by maximum TSStandard in corresponding distribution client distributes commodity sum duration set
And distribution commodity total quantity comparison set is sent to back-stage management cloud platform;
Meanwhile Cloud Server receives the first purchase commercial grade set B that cloud platform management module is sentLFWith the second purchase
Commercial grade set Cp, according to the first purchase commercial grade set BLFAnd it is corresponding each that personnel are respectively bought in combination configuration database
The corresponding commodity amount of commercial grade, statistics purchase personnel buy the personnel amount of each commercial grade in each age group, and will purchase
The age bracket set D of the corresponding personnel amount building commodity purchasing grade of the commercial grade boughtLF(dLF1,dLF2,...,
dLFf,...,dLFG), dLFF is expressed as buying the purchase personnel of LF age bracket the personnel amount of f-th of commercial grade, and
Extract purchase the corresponding personnel's gender of commercial grade, according under the gender of different purchase personnel to the corresponding quotient of each commercial grade
The gender set R of the purchase situation building commodity purchasing grade of productp(rp1,rp2,...,rpf,...,rpG), p is expressed as purchaser
The gender of member can be 1 or 2, p=1, be expressed as male and buy personnel, p=2 is expressed as women and buys personnel, rpF is expressed as purchasing
Buy the personnel amount of the corresponding sex of f-th of commercial grade, and by the age bracket set D of commodity purchasing gradeLFAnd quotient
The gender set R of product purchase gradepIt is sent to rear end management cloud platform;
Cloud Server is according to the age bracket set D of commodity purchasing gradeLF, commodity purchasing grade gender set Rp, standard
Distribute commodity total quantity set Uxv, distribution commodity total quantity compare set U 'SvAnd the corresponding sale of each type of merchandise is combined to complete
Proportionality coefficientCount the comprehensive tendency satisfaction coefficient of the corresponding user of each commercial grade
uSvF is expressed as the corresponding commodity number of f-th of commercial grade under the S distribution client v-th of type of merchandise of sale
Amount,It is expressed as the corresponding sale completed percentage coefficient of the S distribution client's v-th of type of merchandise of section sale, λ is expressed as comparing
Example coefficient factor, value is less than 1, dLFF is expressed as buying the purchase personnel of LF age bracket the personnel of f-th of commercial grade
Quantity, dLFfmaxIt is expressed as buying the most purchase grade institute of the corresponding purchase commodity amount of each commercial grade in LF age bracket
Corresponding purchase number,It is expressed as each age group and buys the corresponding purchase number summation of each commercial grade, rpf
It is expressed as the personnel amount of the corresponding sex of f-th of commercial grade of purchase, rpfmaxSex purchase is expressed as to use
Purchase number corresponding to the most purchase grade of the corresponding purchase commodity amount of each commercial grade is bought in family,
It is expressed as the corresponding purchase number summation of the accumulative each commercial grade of purchase of male and female, u ' SvF is expressed as the S distribution client
In the quantity and standard distribution client of f-th of commercial grade sale in end under v-th of type of merchandise under v-th of type of merchandise
F-th of commercial grade sale quantity difference, Cloud Server by it is each distribution client the corresponding user of each commercial grade
Comprehensive tendency satisfaction coefficient ψSfIt is sent to rear end management cloud platform, the comprehensive tendency satisfaction coefficient of the user is bigger, shows
Purchase user is bigger to the purchase intention of a certain commercial grade, that is, the situation of selling well rate sold is bigger.
Each type of merchandise that rear end management cloud platform is used to receive each distribution client sale of Cloud Server transmission is corresponding
Sale completed percentage coefficientThe comprehensive tendency satisfaction coefficient of the corresponding user of each commercial grade of each distribution client,
Maximum TSStandard distribution commodity sum duration set, distribution commodity total quantity comparison set, commodity in corresponding distribution client
Buy the age bracket set D of gradeLFWith the gender set R of commodity purchasing gradep, back-stage management cloud platform is according to maximum TSIt is corresponding
Distribution client in standard distribution commodity sum duration set, distribution commodity total quantity comparison set, sale completed percentage system
NumberAnd the comprehensive tendency satisfaction coefficient ψ of the corresponding user of each commercial grade of each distribution clientSf, count each distribution visitor
Proportionality coefficient with goods of the family end to each commercial grade under the same type of merchandiseψSfIt is expressed as each commercial grade of f of the S distribution client
The comprehensive tendency satisfaction coefficient of corresponding user,It is corresponding to be expressed as the S distribution client's v-th of type of merchandise of section sale
Sell completed percentage coefficient, uSvF is expressed as f-th of commercial grade pair under the S distribution client v-th of type of merchandise of sale
The commodity amount answered, u 'xvF is expressed as f-th of commercial grade sale in the S distribution client under v-th of type of merchandise
The difference of the quantity of g-th of commercial grade sale in quantity and standard distribution client under v-th of type of merchandise, uxvF is indicated
For the maximum T of merchandise sales total quantitySF-th of commercial grade sale in corresponding distribution client under v-th of type of merchandise
Quantity, the commodity of each commercial grade under the same type of merchandise that back-stage management cloud platform is sold according to each distribution client
With goods proportionality coefficient, the quantity W for dispensing the commercial grade is calculatedSvf=β uSvf*φSvf, β is expressed as taking with goods scale factor
1.15, wherein each distribution client is equal to distribution visitor to the proportionality coefficient with goods of each commercial grade under the same type of merchandise
Family end is to service demand factor needed for each commercial grade sale under each type of merchandise;
Rear end manages cloud platform and based on the received the age bracket set D of commodity purchasing gradeLF, count each distribution client
Influence coefficient of the age bracket to merchandise sales in the range of placeAnd commodity purchasing etc. based on the received
The gender set R of gradep, count influence coefficient of the gender to merchandise sales in the range of each distribution client placedLFF is expressed as buying the purchase personnel of LF age bracket the personnel amount of f-th of commercial grade, rpf
It is expressed as the personnel amount of the corresponding sex of f-th of commercial grade of purchase, θLFIt is expressed as the purchaser of LF age bracket
Influence coefficient of the member to merchandise sales, τpIt is expressed as influence coefficient of the sex purchase personnel to merchandise sales, backstage is managed
Influence coefficient and gender influence coefficient to merchandise sales of the cloud platform according to the age bracket of statistics to merchandise sales is managed, it can be straight
It sees ground and shows the influence of the age and gender of purchase personnel to sale, back-stage management cloud platform is according to each distribution client to each quotient
Service demand factor needed for each commercial grade sale under category type, is reasonably distributed under each type of merchandise for each distribution client
The commodity amount of each commercial grade maximumlly improves the speed of the merchandising of distribution client, promotes each distribution client
The maximization for holding the brought income of merchandising, promotes the distribution speed of commodity, by analyzing each distribution client customer
The tendency degree of the level of consumption, consumer groups and consumption gender to each commercial grade under each type of merchandise, reasonable arrangement
The type of merchandise of required sale and corresponding commercial grade have the characteristics that distribute rationalization degree height, distribute fireballing, guarantor
The commodity for demonstrate,proving each distribution client sale farthest meet the consumer groups of current region, realize reasonable distribution planning,
And hotel owner is driven to sell benefit.
The above content is just an example and description of the concept of the present invention, affiliated those skilled in the art
It makes various modifications or additions to the described embodiments or is substituted in a similar manner, without departing from invention
Design or beyond the scope defined by this claim, be within the scope of protection of the invention.
Claims (6)
1. a kind of e-commerce platform based on big data, it is characterised in that: manage cloud platform including rear end and distributing management is flat
Platform, the rear end management cloud platform and distributing management platform are connected to the network by wireless communication;
The distributing management platform includes that image obtains acquisition module, image analysis contrast module, product features building module, puts down
Platform management module, Cloud Server, several distribution client terminals and configuration database;
Described image acquisition obtains module and connect respectively with product features building module and image analysis contrast module, configuration data
Library takes with image analysis contrast module, product features building module, several distribution client terminals, platform management module and cloud respectively
Business device connection, platform management module are connect with distribution client terminal and Cloud Server respectively;
Described image obtain acquisition module be high-definition camera, be mounted in each distribution hotel owner, for entrance hotel owner in carry out
The personnel of commodity purchasing carry out Image Acquisition, and acquire the commodity image of purchase personnel purchase, and by the purchase personnel of acquisition with
And the commodity image of purchase is sent to image analysis contrast module, while to each commercial grade pair under the type of merchandise each in hotel owner
The commodity answered carry out Image Acquisition, and the corresponding commodity image of each commercial grade under each type of merchandise of acquisition is sent to quotient
Product feature construction module;
Described image analysis contrast module is used to receive the commodity that image obtains purchase personnel and purchase that acquisition module is sent
Image, and purchase personnel's image of acquisition is subjected to feature extraction, the characteristics of image of the purchase personnel of extraction is sent to configuration number
According to library, the characteristic image of the purchase personnel stored in the characteristics of image and configuration database of the personnel that buy is compared, is added up
The number of the corresponding purchase personnel purchase of each characteristics of image, while the commodity image of received purchase personnel purchase is carried out special
Sign is extracted, and by each commodity stored in the corresponding feature of purchase commodity image and configuration database of extraction corresponding commodity spy
Different characteristic set compares, and filters out most matched with the commodity specific characteristic data acquisition system that stores in configuration database
Commercial grade under the type of merchandise then counts the quantity for each commercial grade that this purchase personnel buy under each type of merchandise, will purchase
The quantity of the number and each commercial grade under each type of merchandise of purchase of buying personnel and purchase establishes connection corresponding relationship, and will
The corresponding commodity amount of each commercial grade under each type of merchandise of the accumulative purchase of the purchase personnel of statistics is sent to configuration number
According to library;
The product features building module is used to receive each commodity etc. under each type of merchandise that image acquisition acquisition module is sent
The corresponding commodity image of grade carries out feature extraction to the corresponding commodity image of each commercial grade under each type of merchandise, and will mention
The feature of the corresponding commodity image of each commercial grade under each type of merchandise taken establishes commodity specific characteristic data acquisition system, commodity
The corresponding commodity specific characteristic data acquisition system of each commercial grade under each type of merchandise is sent to configuration number by feature construction module
According to library;
The configuration database is used to store the corresponding number of each commercial grade under each each type of merchandise for buying of distribution client terminal
The corresponding volume residual of each commercial grade under each type of merchandise is measured and stored, and is divided into several data storage cells, each
Data storage cell has a corresponding distribution client terminal, each data storage cell be stored with distribution hotel owner sale and
The corresponding quantity of each commercial grade under each type of merchandise of purchase, and it is corresponding to store each commercial grade under each type of merchandise of purchase
The corresponding commodity of each commercial grade under each type of merchandise that the image information of purchase personnel and each purchase personnel buy every time
Quantity, while each commercial grade for storing the feature of the corresponding purchase personnel of each hotel owner and storing under each type of merchandise is corresponding
Commodity specific characteristic data acquisition system, and each commercial grade stored under each type of merchandise of the accumulative purchase of each purchase personnel is corresponding
Commodity amount;
The distribution client terminal is for respectively distributing each quotient that hotel owner sells in region in real-time statistics configuration database
The corresponding quantity of each commercial grade under category type, while counting the corresponding purchase personnel's of each commercial grade under each type of merchandise
Age level, the gender for buying personnel and purchase personnel buy corresponding commercial grade under the type of merchandise, and by each commodity class
The age level of the corresponding sales volume of each commercial grade and each purchase personnel under type, the gender and each purchase for buying personnel
Corresponding commercial grade is sent to platform management module under the type of merchandise of personnel's purchase, and by each commodity under each type of merchandise
The corresponding sales volume of grade is sent to Cloud Server;
The cloud platform management module is used to receive each commercial grade pair under each type of merchandise that each distribution client terminal is sent
The type of merchandise pair of the age level of the sales volume and purchase personnel answered, the gender for buying personnel and each purchase personnel purchase
The commercial grade answered extracts each commercial grade pair under each type of merchandise that the distribution client is bought in commodity configuration database
The quantity answered, according to the corresponding purchase quantity of commercial grade each under each type of merchandise and the quantity of sale, to count each commodity
The corresponding volume residual of each commercial grade under type, and by the corresponding residue of each commercial grade under each type of merchandise of statistics
Quantity is stored to commodity configuration database, and cloud platform management module is according to the age level of purchase personnel, the gender of purchase personnel
Commercial grade corresponding with the type of merchandise of each purchase personnel purchase, the purchase personnel counted under each age level buy each commodity
The corresponding commodity amount of grade extracts in commodity configuration database under all type of merchandises for buying personnel's purchase of each age group
The corresponding commodity amount of each commercial grade, and by each age group purchase personnel purchase all type of merchandises under each commodity
Corresponding the first purchase of the commodity amount building commercial grade set B of gradeLF(bLF1,bLF2,...,bLFf,...,bLFG), BLFTable
It is shown as the corresponding commodity amount set of each commercial grade of the purchase personnel purchase of LF age bracket, bLFF is expressed as LF
The purchase personnel of age bracket buy the commodity amount of f-th of commercial grade, and g is expressed as the corresponding total grade quantity of the type of merchandise,
Meanwhile the gender of each purchase personnel is counted, each commercial grade under each type of merchandise for counting each purchase personnel purchase is corresponding
Commodity amount building second purchase commercial grade set Cp(cp1,cp2,...,cpf,...,cpG), p is expressed as purchase personnel's
Gender, p are equal to 1, are expressed as male and buy personnel, and p is equal to 2, is expressed as women and buys personnel, cpF is expressed as sex
Purchase personnel buy the commodity amount of f-th of commercial grade, and cloud platform management module buys commercial grade set B for firstLFWith
Second purchase commercial grade set CpIt is sent to Cloud Server;
The Cloud Server is used to receive the corresponding sale of each commercial grade under each type of merchandise of distribution client terminal end transmission
Quantity, and it is corresponding to extract each commercial grade under each type of merchandise that each distribution client terminal stored in configuration database is bought
Quantity, establish distribution basic item level data set USv(uSv1,uSvx2,...,uSvG), USvIt is expressed as the S distribution visitor
Sell the corresponding commodity amount set of each commercial grade, u under v-th of type of merchandise in family endSvG is expressed as the S distribution client
The corresponding commodity amount of g-th of commercial grade under v-th of type of merchandise is sold, the different quotient of each distribution client section sale are counted
The corresponding merchandise sales total quantity of difference commercial grade under category typeFilter out merchandise sales total quantity most
Big TS, and by maximum TSCorresponding distribution client distributes client as standard, and other are distributed the corresponding distribution of client
Commodity sum duration set and standard distribute commodity sum duration set Uxv(uxv1,uxv2,...,uxvG) it compares, obtains retail trader
Product total quantity compares set U 'Sv(u′Sv1,u′Sv2,...,u′SvG), S=1,2,3 ..., and x ∈ S, u 'xvG is expressed as S
Distribute v-th of quotient in the quantity and standard distribution client of g-th of commercial grade sale in client under v-th of type of merchandise
The difference of the quantity of g-th of commercial grade sale under category type;Meanwhile it is corresponding to count each commercial grade under the same type of merchandise
Sales volume, constitute distribution type of merchandise set YS(yS1,yS2,...,ySV), ySV is expressed as the S distribution client sale
The corresponding merchandising quantity of v-th of type of merchandise according to distribution type of merchandise set and gathers distribution basic item number of degrees
The corresponding sale completed percentage coefficient of each type of merchandise is counted according to set, each distribution client sale that Cloud Server will acquire
The corresponding sale completed percentage coefficient of each type of merchandiseIt is sent to rear end management cloud platform, and by maximum TSCorresponding distribution
It is flat that standard distribution commodity sum duration set and distribution commodity total quantity comparison set in client are sent to back-stage management cloud
Platform;
Meanwhile Cloud Server receives the first purchase commercial grade set B that cloud platform management module is sentLFWith the second purchase commodity
Class set Cp, according to the first purchase commercial grade set BLFAnd it combines in configuration database and respectively buys the corresponding each commodity of personnel
The corresponding commodity amount of grade, statistics purchase personnel buy the personnel amount of each commercial grade in each age group, and by purchase
The age bracket set D of the corresponding personnel amount building commodity purchasing grade of commercial gradeLF(dLF1,dLF2,...,dLFf,...,
dLFG), dLFF is expressed as buying the purchase personnel of LF age bracket the personnel amount of f-th of commercial grade, and extracts purchase
The corresponding personnel's gender of commercial grade, according to the purchase under the gender of different purchase personnel to the corresponding commodity of each commercial grade
The gender set R of situation building commodity purchasing gradep(rp1,rp2,...,rpf,...,rpG), p is expressed as the property of purchase personnel
Not, it is 1 or 2, p=1, is expressed as male and buys personnel, p=2 is expressed as women and buys personnel, rpF is expressed as f-th of purchase
The personnel amount of the corresponding sex of commercial grade, and by the age bracket set D of commodity purchasing gradeLFWith commodity purchasing etc.
The gender set R of gradepIt is sent to rear end management cloud platform;
The Cloud Server is according to the age bracket set D of commodity purchasing gradeLF, commodity purchasing grade gender set Rp, standard
Distribute commodity total quantity set Uxv, distribution commodity total quantity compare set U 'SvAnd the corresponding sale of each type of merchandise is combined to complete
Proportionality coefficientCount the comprehensive tendency satisfaction coefficient of the corresponding user of each commercial grade, Cloud Server is by each distribution client
The comprehensive tendency satisfaction coefficient ψ of the corresponding user of each commercial gradeSfIt is sent to rear end management cloud platform;
Each type of merchandise that the rear end management cloud platform is used to receive each distribution client sale of Cloud Server transmission is corresponding
Sale completed percentage coefficientThe comprehensive tendency satisfaction coefficient of the corresponding user of each commercial grade of each distribution client,
Maximum TSStandard distribution commodity sum duration set, distribution commodity total quantity comparison set, commodity in corresponding distribution client
Buy the age bracket set D of gradeLFWith the gender set R of commodity purchasing gradep, back-stage management cloud platform is according to maximum TSIt is corresponding
Distribution client in standard distribution commodity sum duration set, distribution commodity total quantity comparison set, sale completed percentage system
NumberAnd the comprehensive tendency satisfaction coefficient ψ of the corresponding user of each commercial grade of each distribution clientSf, count each distribution visitor
Proportionality coefficient with goods of the family end to each commercial grade under the same type of merchandiseψSfIt is expressed as each commercial grade of f of the S distribution client
The comprehensive tendency satisfaction coefficient of corresponding user,It is corresponding to be expressed as the S distribution client's v-th of type of merchandise of section sale
Sell completed percentage coefficient, uSvF is expressed as f-th of commercial grade pair under the S distribution client v-th of type of merchandise of sale
The commodity amount answered, u 'xvF is expressed as f-th of commercial grade sale in the S distribution client under v-th of type of merchandise
The difference of the quantity of g-th of commercial grade sale in quantity and standard distribution client under v-th of type of merchandise, uxvF is indicated
For the maximum T of merchandise sales total quantitySF-th of commercial grade sale in corresponding distribution client under v-th of type of merchandise
Quantity, the commodity of each commercial grade under the same type of merchandise that back-stage management cloud platform is sold according to each distribution client
With goods proportionality coefficient, the quantity W for dispensing the commercial grade is calculatedSvf=β uSvf*φSvf, β is expressed as taking with goods scale factor
1.15;
Rear end manages cloud platform and based on the received the age bracket set D of commodity purchasing gradeLF, count each distribution client place
In the range of influence coefficient of the age bracket to merchandise sales, and the gender set R of commodity purchasing grade based on the receivedp, statistics
Influence coefficient of the gender to merchandise sales in the range of where each distribution client.
2. a kind of e-commerce platform based on big data according to claim 1, it is characterised in that: the commodity are special
Characteristic data set is combined into Ai(aik1,aik2,...,aikj,...,aiKm), i=1,2 ..., h, h are expressed as the kind of the type of merchandise
Class, k are expressed as the commercial grade under each type of merchandise, k=1,2 ..., f ..., g, aiKj is expressed as under i-th of type of merchandise
Corresponding j-th of the product features of k-th of commercial grade, different product features respective weights are respectively gaik1,gaik2,...,
gaikj,...,gaiKm, and gaik1+gaik2+...+gaikj+...+gaiKm=1.
3. a kind of e-commerce platform based on big data according to claim 1, it is characterised in that: each type of merchandise pair
The calculation formula for the sale completed percentage coefficient answered isV=1,2 ..., v ',Table
It is shown as the corresponding sale completed percentage coefficient of the S distribution client's v-th of type of merchandise of section sale, sale completed percentage coefficient is got over
Greatly, the commodity amount for showing to sell each commercial grade under the type of merchandise is more, and v ' is expressed as each distribution client sale
The quantity of the type of merchandise, uSvIt is corresponding that g is expressed as g-th of commercial grade that the S distribution client is sold under v-th of type of merchandise
Commodity amount, ySV is expressed as the S distribution client and sells the corresponding merchandising quantity of v-th of type of merchandise.
4. a kind of e-commerce platform based on big data according to claim 1, it is characterised in that: the Cloud Server
The calculation formula of the comprehensive tendency satisfaction coefficient of the corresponding user of each commercial grade of statistics is
uSvF is expressed as the corresponding commodity amount of f-th of commercial grade under the S distribution client v-th of type of merchandise of sale,It is expressed as the corresponding sale completed percentage coefficient of the S distribution client's v-th of type of merchandise of section sale, λ is expressed as ratio system
The number factor, value is less than 1, dLFF is expressed as buying the purchase personnel of LF age bracket personnel's number of f-th of commercial grade
Amount, dLFfmaxIt is right to be expressed as buying the most purchase grade institute of the corresponding purchase commodity amount of each commercial grade in LF age bracket
The purchase number answered,It is expressed as each age group and buys the corresponding purchase number summation of each commercial grade, rpF table
It is shown as the personnel amount of the corresponding sex of f-th of commercial grade of purchase, rpfmaxIt is expressed as sex purchase user
Middle each commercial grade of purchase is corresponding to buy purchase number corresponding to the most purchase grade of commodity amount,Table
It is shown as the corresponding purchase number summation of the accumulative each commercial grade of purchase of male and female, u 'SvF is expressed as the S distribution client
In f-th of commercial grade sale under v-th of type of merchandise quantity and standard distribution client under v-th of type of merchandise
The difference of the quantity of f-th of commercial grade sale.
5. a kind of e-commerce platform based on big data according to claim 1, it is characterised in that: the age bracket pair
The calculation formula of the influence coefficient of merchandise sales isdLFF is expressed as the purchase for LF age bracket
Personnel buy the personnel amount of f-th of commercial grade, θLFIt is expressed as influence of the purchase personnel of LF age bracket to merchandise sales
Coefficient.
6. a kind of e-commerce platform based on big data according to claim 1, it is characterised in that: the gender is to quotient
The calculation formula of influence coefficient of product sale isrpF is expressed as the corresponding male of f-th of commercial grade of purchase
The personnel amount of property or women, τpIt is expressed as influence coefficient of the sex purchase personnel to merchandise sales.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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CN114255110A (en) * | 2021-12-24 | 2022-03-29 | 珠海南方数字娱乐公共服务中心 | Product distribution management system and method based on internet sales |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1168224A1 (en) * | 2000-06-29 | 2002-01-02 | Sony Corporation | Sales method, systems and apparatus |
CN107153984A (en) * | 2017-04-28 | 2017-09-12 | 深圳齐心集团股份有限公司 | A kind of e-commerce system based on big data and cloud computing |
CN108280690A (en) * | 2018-01-31 | 2018-07-13 | 深圳市海淇展示文化有限公司 | A kind of merchandise news stocking system based on big data |
CN109493135A (en) * | 2018-11-02 | 2019-03-19 | 广东阅云科技有限公司 | A kind of shops's customer data processing method and system based on recognition of face |
CN109711890A (en) * | 2018-12-28 | 2019-05-03 | 珍岛信息技术(上海)股份有限公司 | A kind of user data processing method and its system |
-
2019
- 2019-08-12 CN CN201910739996.0A patent/CN110443687B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1168224A1 (en) * | 2000-06-29 | 2002-01-02 | Sony Corporation | Sales method, systems and apparatus |
CN107153984A (en) * | 2017-04-28 | 2017-09-12 | 深圳齐心集团股份有限公司 | A kind of e-commerce system based on big data and cloud computing |
CN108280690A (en) * | 2018-01-31 | 2018-07-13 | 深圳市海淇展示文化有限公司 | A kind of merchandise news stocking system based on big data |
CN109493135A (en) * | 2018-11-02 | 2019-03-19 | 广东阅云科技有限公司 | A kind of shops's customer data processing method and system based on recognition of face |
CN109711890A (en) * | 2018-12-28 | 2019-05-03 | 珍岛信息技术(上海)股份有限公司 | A kind of user data processing method and its system |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113112318A (en) * | 2020-01-10 | 2021-07-13 | 阿里巴巴集团控股有限公司 | Method, device, electronic equipment and computer storage medium for determining product combination |
CN113112318B (en) * | 2020-01-10 | 2022-04-29 | 阿里巴巴集团控股有限公司 | Method, device, electronic equipment and computer storage medium for determining product combination |
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