CN107316221A - A kind of personalized online shopping platform analyzed based on big data and implementation method - Google Patents
A kind of personalized online shopping platform analyzed based on big data and implementation method Download PDFInfo
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- CN107316221A CN107316221A CN201710386264.9A CN201710386264A CN107316221A CN 107316221 A CN107316221 A CN 107316221A CN 201710386264 A CN201710386264 A CN 201710386264A CN 107316221 A CN107316221 A CN 107316221A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0641—Shopping interfaces
- G06Q30/0643—Graphical representation of items or shoppers
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0621—Item configuration or customization
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0623—Item investigation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Abstract
The invention discloses a kind of personalized online shopping platform analyzed based on big data and implementation method, platform includes：Client and Cloud Server, client include：Terminal and three-dimensional foot type scanner, the terminal, the identity information to obtain user, the three-dimensional foot type scanner obtain the foot type data and corresponding scanning unique mark of user to scan, and Cloud Server includes：Cloud database server and cloud application server, the cloud database server, to store above-mentioned identity information, foot type data and scanning unique ID, the cloud application server, above-mentioned identity information, the foot type data and the scanning unique mark to be bound, if binding success, user's registration is then completed by the terminal, and, when registered user is by the terminal logs in, match the footwear money of suitable user's dress.Auto-matching, customized homepage, personalized recommendation footwear money, personalized search footwear money service can be provided the user by the present invention.
Description
Technical field
The present invention relates to commercial management field, big data analysis field, more particularly to a kind of analyzed based on big data
Property online shopping platform and implementation method.
Background technology
Big data (big data), refers to not caught with conventional software instrument in the range of certain time, manages
It is to need new tupe to have stronger decision edge, see clearly discovery power and process optimization energy with the data acquisition system of processing
Magnanimity, high growth rate and the diversified information assets of power.With the arriving of cloud era, big data (Big data) also attracts
Increasing concern.Analyst team thinks that big data (Big data) is created commonly used to describe in a company/field
A large amount of unstructured datas and semi-structured data, such as some well-known shopping platforms, Amazon Amazons, day cat
Tmall, ebay eBay, Jingdone district JD, Wal-Mart Wal-Mart.These data are downloading to relevant database for analyzing
When can overspending time and money.Big data analysis is often linked together with cloud computing, because large data collection point in real time
Analysis needs the framework as MapReduce to be shared out the work to tens of, hundreds of or even thousands of computer.Big data needs spy
Different technology, effectively to handle the data in the substantial amounts of tolerance elapsed time.Suitable for the technology of big data, including it is extensive
Parallel processing (MPP) database, data mining, distributed file system, distributed data base, cloud computing platform, internet and
Expansible storage system.
Big data analysis refers to analyze huge data.Big data may be summarized to be 5 V, and data volume is big
(Volume), speed fast (Velocity), type many (Variety), value (Value), authenticity (Veracity).Big data
Analysis method include but is not limited to, visual analyzing, data mining algorithm, predictive analysis ability, semantic engine and number
According to quality and data management.In addition, further comprises data storage and data warehouse, data warehouse is for the ease of multidimensional analysis
Set up relevant database is stored by AD HOC with multi-angle display data, particularly in business intelligence system
In the design of system, the structure of data warehouse is crucial, is the basis of business intelligence system, undertakes to operation system Data Integration
Task, data pick-up, conversion and loading (ETL) are provided for business intelligence system, and data are inquired about and accessed by theme,
It is that on line data analysis and data mining provide data platform.
The application of shopping platform, such as, the Real-Time Pricing of the western general merchandise of plum are combined by the way that big data is analyzed in the prior art
Mechanism.According to demand with the situation of stock, system of the said firm based on SAS is readjusted prices in real time to up to 73,000,000 kinds kinds of goods.
Also such as, Chinese patent application CN201610077284.3, a kind of big data analysis method for shopping website, including：Number
According to acquisition step, based on the keywords database related to shopping website, obtained and each pass in keywords database from shopping website
Keyword related product information, store information, brand message, recommendation information and ranking information；Data processing step, sets up phase
Product accounting information table, shop Statistics table, brand Statistics table and the industry statistic information table answered；Data analysis is walked
Suddenly, exhibition information table is generated；Data display step, the concern instruction inputted based on user, transfers corresponding exhibition information table, and
User is presented to different interfaces.Shortcoming is：Data acquisition is not based on user mutual, customizes and personalization level is inclined
It is low.Again such as, Chinese patent application CN201510203342.8, a kind of big data analysis system for shopping website, data
Acquisition module is used to gather the initial data of shopping website and stored into raw data base；Data analysis module is used to receive original
The data analysis inlet flow of the initial data formation of beginning database, and data analysis inlet flow is analyzed to set up index system
Meter, is synchronized to data analysis inlet flow with the corresponding data in data acquisition module, forms data analysis output stream, and defeated
Go out to analysis database；What the data analysis output that data exhibiting module is used to receive after analysis in database was flowed shows number
According to, and data will be showed user is presented to interface form checked according to the difference of type.The collection of present invention collection, analysis, displaying
In one, by real-time data acquisition, data results are showed client by complete data analysis.Shortcoming is：Number
According to the no specific aim of the displaying of analysis result, Consumer's Experience is poor.
The content of the invention
The technical problem to be solved in the present invention is to provide a kind of individual that can be by collecting based on user's foot type data
Information and online behavioural information carry out the personalized online shopping platform of big data analysis, so as to provide the user such as,
Auto-matching, customized homepage, personalized recommendation footwear money, the service of personalized search footwear money.
Above-mentioned technical problem is solved, the invention provides a kind of personalized online shopping platform analyzed based on big data,
Including：Client and Cloud Server,
The client includes：Terminal and three-dimensional foot type scanner,
The terminal, the identity information to obtain user,
The three-dimensional foot type scanner, the foot type data and corresponding scanning unique mark of user are obtained to scan,
The Cloud Server includes：Cloud database server and cloud application server,
The cloud database server, to store above-mentioned identity information, foot type data and scanning unique ID,
The cloud application server, above-mentioned identity information, the foot type data and the scanning unique mark to be tied up
It is fixed, if binding success, user's registration is completed by the terminal,
And, when registered user is by the terminal logs in, match the footwear money of suitable user's dress.
Further, the terminal, the three-dimensional foot type scanner and the cloud application server, as follows to complete
Interaction：
S21 is when the three-dimensional foot type scanner starts scanning, and the three-dimensional foot type scanner is to the cloud application service
Device application unique identifier,
S22 in the cloud application server, to the unique identifier is sent to the three-dimensional foot type scanner as
The scanning unique ID of present scan,
S23 is in the three-dimensional foot type scanner, the measurement result to complete to scan and get foot type data, to described
The request that cloud application server initiates new scanning result generation responds and transmits data,
S24 is in the cloud application server, to receive transmission data and after confirmation is completely errorless, preserve this
Unique ID and scanning result are scanned, and the scanning unique ID and the scanning result are bound.
The personalized online shopping platform further comprises following steps：
S25, according to above-mentioned scanning unique ID, one is transmitted to wechat public number platform in the cloud application server
Identification code, and according to the identification code as one public number Quick Response Code of parameter application,
S26 is scanned in the cloud application server the public number Quick Response Code of application is sent into the three-dimensional foot type
Instrument, user by paying close attention to public number after public number Quick Response Code described in the terminal scanning,
Cloud application server described in S27 finds corresponding scanning unique ID by the identification code, complete described in sweep
Retouch the binding of user mobile phone number and WeChat ID in unique ID and the terminal.
Further, also it is used in the three-dimensional foot type scanner, collection foot type information and/or measurement foot type data,
The terminal is also used to, and gathers user's base attribute of user, is also used in the cloud database server, receives and synchronously stores up
Deposit shoe tree measurement data and/or footwear money attribute information.
Further, also include in the cloud application server：Registered user's behavior unit, intelligent recommendation unit, intelligence
Search unit, matching unit,
Registered user's behavior unit, to record behavioural information on each line of registered user and that behavior is produced is attached
Plus information,
The intelligent recommendation unit, after user logs in every time, to trigger user's recommendation function,
The intelligent search unit, when user uses searched page every time, to trigger the automatic function of search of user,
The matching unit, in each access details page of user, to trigger Auto-matching function.
Further, the intelligent recommendation unit, also to be recommended according to preset basic label rule,
And, according to the information obtained from the terminal and the three-dimensional foot type scanner, and combine the category of different footwear moneys
Property, obtain user's preferences or have the possible footwear money sequence of purchase, and recommended according to sequence.
Further, the matching unit includes：Footwear code recommending module, customized solution module and coupling learning module,
Start when footwear code recommending module, footwear money to select conventional footwear code in user, and predict the obtained use
Family may wear suitable possibility highest footwear code and be shown again by details page,
The customized solution module, to start when user selects and provides the footwear money of the service of customization, and it is true in user
Start personalized customization function after fixed payment, generate the customized solution that this footwear is directed to user's foot type,
The coupling learning module, is used to provide in the footwear code recommending module and/or the customized solution module
Match parameter.
A kind of personalized online shopping implementation method analyzed based on big data is additionally provided based on the invention described above, including
Following steps：
The identity information of user is obtained,
Scanning obtains the foot type data and corresponding scanning unique mark of user,
Above-mentioned identity information, foot type data and scanning unique ID are stored,
By the binding of above-mentioned identity information, the foot type data and the scanning unique mark, if binding success, pass through institute
State terminal and complete user's registration,
And, when registered user is by the terminal logs in, match the footwear money of suitable user's dress.
Further, method also comprises the following steps：
Set in a complete scan period, and by the scanning unique ID of same user, scanning foot type data knot
Really, user's WeChat ID, user mobile phone number are bound, and obtain registered user.
Further, method also comprises the following steps：
The additional information that behavioural information and behavior are produced on each line of registered user is recorded,
After user logs in every time, user's recommendation is carried out,
When user uses searched page every time, carry out user and search for automatically,
In each access details page of user, Auto-matching is carried out.
Beneficial effects of the present invention：
The present invention personalized online shopping platform in, due to including：Client and Cloud Server, in the client
By terminal and three-dimensional foot type scanner, the identity information and scanning for obtaining user obtain the foot type data of user and corresponding swept
Unique mark is retouched, big data analysis is carried out by collecting personal information and online behavioural information based on user's foot type data.
Because Cloud Server includes：Cloud application server, above-mentioned identity information, the foot type data and the scanning unique mark are tied up
It is fixed, if binding success, user's registration is completed by the terminal, and, pass through the terminal logs in registered user
When, match the footwear money of suitable user's dress, so as to provide the user such as, Auto-matching, customized homepage, personalization
Recommend footwear money, the service of personalized search footwear money.
Brief description of the drawings
Fig. 1 is the personalized online shopping platform structure schematic diagram in one embodiment of the invention；
Fig. 2 is three-dimensional foot type scanner and cloud application server interaction schematic diagram in Fig. 1；
Fig. 3 is the another interactive schematic diagram of terminal, three-dimensional foot type scanner and cloud application server in Fig. 1；
Fig. 4 is the cloud application server architecture schematic diagram in Fig. 1；
Fig. 5 is the matching unit structural representation in Fig. 4；
Fig. 6 is the method flow schematic diagram in one embodiment of the invention；
Fig. 7 is the preferred embodiment schematic diagram in Fig. 6；
Fig. 8 is another preferred embodiment schematic diagram in Fig. 6；
Fig. 9 is the personalized online shopping platform backstage principle schematic in the present invention；
Figure 10 is terminal, three-dimensional foot type scanner and the Cloud Server interaction concept schematic diagram in the present invention；
Figure 11 is the execution principle schematic of the matching unit in Fig. 5.
Embodiment
The principle of the disclosure is described referring now to some example embodiments.It is appreciated that these embodiments are merely for saying
It is bright and help it will be understood by those skilled in the art that with the purpose of the embodiment disclosure and describe, rather than advise model of this disclosure
Any limitation enclosed.Content of this disclosure described here can be implemented in the various modes outside mode described below.
As described herein, term " comprising " and its various variants are construed as open-ended term, it means that " bag
Include but be not limited to ".Term "based" is construed as " being based at least partially on ".Term " one embodiment " it is understood that
For " at least one embodiment ".Term " another embodiment " is construed as " at least one other embodiment ".
Fig. 1 is the personalized online shopping platform structure schematic diagram in one embodiment of the invention, is provided in the present embodiment
A kind of personalized online shopping platform analyzed based on big data, including：Client 1 and Cloud Server 2, the client 1
Including：Terminal 12 and three-dimensional foot type scanner 13, the terminal 12, the identity information to obtain user, the three-dimensional foot type
Scanner 13, the foot type data and corresponding scanning unique mark of user are obtained to scan, and the Cloud Server 2 includes：Cloud
Database server 22 and cloud application server 21, the cloud database server 22, to store above-mentioned identity information, foot type
Data and scanning unique ID, the cloud application server 21, to by above-mentioned identity information, the foot type data and institute
Scanning unique mark binding is stated, if binding success, user's registration is completed by the terminal, and, in registered user
During by the terminal logs in, the footwear money of suitable user's dress is matched.
As shown in figure 9, gathered based on the platform user in the present embodiment on three-dimensional foot type scanner 13 foot type information and
Measure foot type data.Wherein, the foot type information of the user includes but is not limited to：Toe shape (Egyptian pin, Greece's pin and Rome
Pin), arch of foot height, turn up etc. in half sole width degree, fat and lean degree, instep height and heel shape and health related information.It is described
The foot shape measurement data of user include but is not limited to：Pin length that national standard is defined, 50 positions such as pin is wide, plantar toe encloses, instep encloses
Measured value.User scans Quick Response Code concern public number and registration cell-phone number on three-dimensional foot type scanner 13 simultaneously, completes pin
The binding of type scan data, WeChat ID and cell-phone number.
After above-mentioned binding procedure is completed, user turns into registered user, and user is by logging in the personalization in the present embodiment
After online shopping platform, input such as sex, age, footwear money preference, wear preference, Brang Preference user's base attribute, with
The seller that enters of personalized online shopping platform cooperation in embodiment uploads shoe tree measurement data and footwear according to certain requirement
Money association attributes is to cloud database server 22, and the shoe tree measurement data includes but is not limited to：The last carving bottom that national standard is defined
Sample length, plantar toe enclose, instep encloses etc. 20 be not measured value.The footwear money attribute includes but is not limited to：Classification, head dummy, with high, wide
Degree type number, Time To Market, vamp material, inside sole material, the commodity association attributes such as material, waterproof platform height, color.
After above-mentioned processing is completed, registered user on the line each time of personalized online shopping platform behavioural information and
The additional information that behavior is produced will be all recorded.In the present embodiment, on the line behavioural information and behavior produce it is additional
Information includes but is not limited to：Click on, browse, collecting, add shopping cart, buy, score, commenting on, to be transmitted to the lines such as friend up
For information；And these behaviors produce browsing time, link source, line duration, the additional information such as buying rate.
As preferred in the present embodiment, the three-dimensional foot type scanner 13 is configured with:3-D scanning function, company
Connect internet function, front end interactive interface function and the basic functions such as data are exchanged with Cloud Server.The three-dimensional foot type is swept
It can be fixed or hand-held intelligent hardware devices or by Intelligent mobile equipment (such as mobile phone, pad to retouch instrument 13
Deng) or depend on the optional equipment of this Intelligent mobile equipment.
As preferred in the present embodiment, work(of the Cloud Server 2 to support to realize above-mentioned user's fast registration
Can, it is configured as simultaneously：
● storage includes but is not limited to the master datas such as user's registration information, scanning result information；
● calculate and identification scanning ID, WeChat ID and cell-phone number；
● scanning result is sent to user mobile phone；Sending method includes short message, voice, Email and passes through wechat public number
Transmission etc. can relate to the mode of user；
● the API of wechat public number platform is called, data exchange and funcall are carried out with wechat public number platform；
● carry out data exchange and funcall with sms platform；
● response user utilizes the On-line funchon that log-on message is used；Concrete form includes passing through the mobile terminal wechat public
Number, mobile terminal application, mobile terminal web page, the cloud shop that the various forms of interfaces such as PC ends web page and the application of PC ends enter
With store form in line platform.
As shown in figure 9, in certain embodiments, if user passes through the logging in personalized online shopping platform of terminal 12 every time
When, then trigger personalized recommendation function.Personalized online shopping platform by the foot type information of calling and obtaining user, foot shape measurement data,
User's base attribute and all previous online behavioural information and additional information, go out user and may like in combination with the attributive analysis of footwear money
With the footwear money being likely to purchase, and according to the grade sequence liked and be likely to purchase, personalized online shopping platform is shown in
Homepage.
As shown in figure 9, in certain embodiments, if user is used in the function of search of personalized online shopping platform,
Then trigger personalized search function.The mode for setting up personalized search includes but is not limited to：Commodity are selected by user first
Keyword is used as primary priority ranking；Secondly, personalized online shopping platform is by the foot type information of calling and obtaining user, foot shape measurement
Data, user's base attribute and all previous online behavioural information and additional information, go out user and may like with reference to the attributive analysis of footwear money
The footwear money liked and be likely to purchase, and according to the grade liked and be likely to purchase under secondary priority level sequencing display.
As shown in figure 9, in certain embodiments, if user clicks on or browses the details page of a certain commodity,
Trigger Auto-matching function.Personalized online shopping platform is by the foot type information of calling and obtaining user, foot shape measurement data with being browsed
Footwear money shoe tree measurement data and footwear money attribute, the footwear that user's foot type is most matched are calculated by Auto-matching related algorithm
Code, and recommend user.
In certain embodiments, if the footwear money provides personalized customization function, if passing through Auto-matching related algorithm
Calculate the footwear code that user's foot type most matches and (such as in short supply or all yardages are all improper) is not present, then advise that user makes
Shoe tree modification is provided with Personalized service, and to seller.
Above-mentioned Auto-matching related algorithm includes but is not limited to, a kind of footwear of Chinese patent application CN201610711957.6
Code Forecasting Methodology and system.
As shown in Fig. 2 being used as preferred in the present embodiment, the terminal 12, the three-dimensional foot type scanner 13 and institute
Cloud application server 21 is stated, to complete following interaction：
Step S21 is when the three-dimensional foot type scanner 13 starts scanning, and the three-dimensional foot type scanner 13 is to the cloud
Application server 21 applies for unique identifier,
Step S22 is scanned in the cloud application server 21 unique identifier is sent into the three-dimensional foot type
Instrument 13 as present scan scanning unique ID,
Step S23 is in the three-dimensional foot type scanner 13, the measurement result to complete to scan and get foot type data,
The request that new scanning result generation is initiated to the cloud application server 21 responds and transmits data,
Step S24 is in the cloud application server 21, to receive transmission data and after confirmation is completely errorless, protect
Present scan unique ID and scanning result are deposited, and the scanning unique ID and the scanning result are bound.
As shown in figure 3, as preferred in the present embodiment, in addition to the steps：
Step S25, according to above-mentioned scanning unique ID, is passed in the cloud application server 21 to wechat public number platform
An identification code is passed, and according to the identification code as one public number Quick Response Code of parameter application,
Step S26 is in the cloud application server 21, the public number Quick Response Code of application is sent into the three-dimension foot
Type scanner 13, user by the terminal sweep 12 retouch the public number Quick Response Code after pay close attention to public number,
Cloud application server 21 described in step S27 finds corresponding scanning unique ID by the identification code, completes
The binding of user mobile phone number and WeChat ID in the scanning unique ID and the terminal 12.
Specifically, in above-mentioned Fig. 3 and Fig. 4 in the once complete scan period, complete user's registration mark be
The binding of scanning ID, scanning result, WeChat ID and the cell-phone number of same user is realized in Cloud Server, detailed process is as follows：
● when starting scanning, three-dimensional foot type scanner is to Cloud Server application one unique identification code, Cloud Server
This identification code is sent to the scanning ID that three-dimensional foot type scanner is scanned as this；
● three-dimensional foot type scanner completes scanning process and successfully got after measurement result, is initiated newly to Cloud Server
The request that scanning result is produced responds and transmits data；Cloud Server receive successfully and confirmation it is complete it is errorless after, preserve
ID and scanning result are this time scanned, so as to complete to scan the binding of ID and scanning result；If scanning mistake or scanning is complete,
Three-dimensional foot type scanner will send false command to Cloud Server, terminate and this time scan；
● Cloud Server transmits an identification code, and recognize with this based on this scans ID to wechat public number platform
Code is used as one public number Quick Response Code of parameter application.The requirement of identification code one side can be delivered to this by wechat public number platform
In Quick Response Code；On the other hand require that Cloud Server can find current scanning ID by this identification code；
● the Quick Response Code of application is sent to three-dimensional foot type scanner by Cloud Server；User scans three by mobile terminal wechat
Tie up after this Quick Response Code that the interactive interface on foot type scanner is shown, can directly pay close attention to public number；
● wechat public number platform is received after concern response, by the identification in the user's WeChat ID and Quick Response Code of this response
Code passes to Cloud Server.Cloud Server can find corresponding scanning ID by identification code, so as to complete scanning ID and user
The binding of WeChat ID；
● cell-phone number and user that three-dimensional foot type scanner inputs current scanning ID and user in its interactive interface
The log-on messages such as name are sent to Cloud Server, so as to complete to scan the binding of ID and user mobile phone number.
As preferred in the present embodiment, also it is used in the three-dimensional foot type scanner 13, collection foot type information and/or survey
Foot-measuring type data, are also used in the terminal, gather user's base attribute of user, are also used in the cloud database server
To receive and synchronously store shoe tree measurement data and/or footwear money attribute information.
As shown in figure 4, as preferred in the present embodiment, also including in the cloud application server 21：Registered user's row
For unit 211, intelligent recommendation unit 212, intelligent search unit 213, matching unit 214, the one side of intelligent recommendation unit 212 is pressed
According to certain basic label rule, include but is not limited to：Promotion sequence priority principle, system value-added service sequence priority principle,
Renewal time sequence priority principle and privacy rule etc..
Intelligent recommendation unit 212 on the other hand, by personalized online shopping platform by the foot type information of calling and obtaining user,
Foot shape measurement data, user's base attribute and all previous online behavioural information and additional information, use is gone out with reference to the attributive analysis of footwear money
The footwear money that family may be liked and be likely to purchase, and according to the grade sequence liked and be likely to purchase, include but is not limited to：Sex
Selection principle, season sequence priority principle, footwear type-foot type grade of fit sequence priority principle and ordering of optimization preference priority principle etc..
Registered user's behavior unit 211, is produced to record behavioural information and behavior on each line of registered user
Additional information,
The intelligent recommendation unit 212, after user logs in every time, to trigger user's recommendation function,
The intelligent search unit 213, to when user uses searched page every time, triggering user searches for work(automatically
Can,
The matching unit 214, in each access details page of user, to trigger Auto-matching function.
In certain embodiments, the intelligent recommendation unit 212, also to be pushed away according to preset basic label rule
Recommend,
And, according to the information obtained from the terminal and the three-dimensional foot type scanner, and combine the category of different footwear moneys
Property, obtain user's preferences or have the possible footwear money sequence of purchase, and recommended according to sequence.
As shown in figure 5, as preferred in the present embodiment, the matching unit 214 includes：Footwear code recommending module 2141,
Matching unit described in personalized shopping platform in customized solution module 2142 and coupling learning module 2143, the present embodiment
214 can be provided according to the dimension information of footwear in the foot shape measurement data and platform of user Auto-matching function (including
But it is not limited to for different footwear moneys, prediction is suitable for the footwear code that user is worn).
Start when footwear code recommending module 2141, footwear money to select conventional footwear code in user, and predict what is obtained
The user may wear suitable possibility highest footwear code and be shown again by details page,
The customized solution module 2142, to user select provide customize service footwear money when start, and with
Family starts personalized customization function after determining payment, generates the customized solution that this footwear is directed to user's foot type,
The coupling learning module 2143, to provide in the footwear code recommending module and/or the customized solution module
The match parameter used.
Above-mentioned footwear code recommending module 2141 and above-mentioned customized solution module 2142 are specific real to provide service for user terminal
Existing process is as follows：
Step1 obtains the foot type information and foot shape measurement data of user using three-dimensional foot type scanner；
Step2 user is registered by three-dimensional foot type scanner or mobile terminal；
Step3 seller uploads shoe tree measurement data and footwear money association attributes to Cloud Server according to certain requirement；
Shopping platform on Step4 User logs in lines；
Step5 chooses a certain footwear money and clicks to enter details page；
Step6 triggers Auto-matching function；
If what Step7 user directly selected is the footwear money for only providing conventional footwear code, start automatic shoe code recommendation function,
System will predict that the user most possibly wears suitable footwear code and shown in details page；
If what Step8 user directly selected is to provide the footwear money of the brand of the service of customization, determine to pay the bill in user
After start personalized customization function, system automatically generates this footwear and is directed to the customized solution of user's foot type, and is sent to seller.
Coupling learning module 2143 described above, to the rear end support module as the matching unit 214.Matching is learned
The match parameter practised in module 2143 includes but is not limited to：Auto-matching function is realizing that automatic shoe code recommends, automatically generates
Property customized solution when used mathematical modeling in participate in the series of parameters of computing, these parameters include formula and function
Coefficient, weights, threshold value etc..Implement process as follows：
Seller uploads shoe tree measurement data and footwear money association attributes to Cloud Server according to certain requirement；
According to the measurement data of shoe tree and footwear money association attributes initialization match parameter；
Record all purchaser records of each footwear money；
Complete documentation is retained by data cleansing；
Carry out data cleansing to retain effective purchaser record by data mining and/or machine learning algorithm；
When the sample set quantity of effective purchaser record of certain footwear (or a certain class footwear) reaches certain threshold value, then trigger
Match parameter autolearn feature, obtains new match parameter；
The sample set quantity of effective purchaser record is extracted by a certain percentage at random and is verified sample set；
Old match parameter and new match parameter prediction is used to verify the suitable footwear code of sample set respectively, if using newly
The accuracy of match parameter prediction is more than the accuracy predicted using old match parameter, then substitutes old match parameter, otherwise,
Still use old match parameter.
In certain embodiments, above-mentioned complete documentation includes but is not limited to:With complete user's registration information, this purchase
The data such as the footwear money association attributes bought, shoe tree measurement data, the footwear code of purchase, the foot type information of the user, foot shape measurement data
Record.
In certain embodiments, above-mentioned effective purchaser record refers to judge this by data mining and machine learning algorithm
Three conditions that purchaser record possesses include but is not limited to：First is that the foot type information and foot shape measurement data that this records are
Buy acquired in user's scanning；Second be this purchase footwear money footwear code for buy user worn；3rd
It is that the footwear code for the footwear money that purchase user wears this purchase is suitable.
It is the method flow schematic diagram in one embodiment of the invention as shown in Figure 6, method specifically includes following steps：
Step S100 obtains the identity information of user,
Step S101 scans the foot type data and corresponding scanning unique mark for obtaining user,
Step S102 stores above-mentioned identity information, foot type data and scanning unique ID,
Step S103 binds above-mentioned identity information, the foot type data and the scanning unique mark, if binding success,
User's registration is then completed by the terminal,
Step S104 matches the footwear money of suitable user's dress when registered user is by the terminal logs in.
As shown in fig. 7, as preferred in the present embodiment, the method in the present embodiment also comprises the following steps：
Step S105 was set in a complete scan period,
Step S106 by the scanning unique ID of same user, scanning foot type data result, user's WeChat ID, user
Cell-phone number is bound, and obtains registered user.
As shown in figure 8, as preferred in the present embodiment, the method in the present embodiment also comprises the following steps：
The additional information that behavioural information and behavior are produced on the step S107 record each lines of registered user,
Step S108 carries out user's recommendation after user logs in every time,
Step S109 carries out user and searched for automatically when user uses searched page every time,
Step S110 carries out Auto-matching in each access details page of user.
As shown in Figure 10, it is that terminal 12, three-dimensional foot type scanner 13 and the interaction concept of Cloud Server 2 in the present invention shows
It is intended to, user is before using a kind of online purchase shoe platform of the personalization analyzed based on big data of the present invention, it is necessary to first
Complete registration；Simultaneously, it is necessary to obtain its foot shape measurement data by foot type scanning measurement system, and bound with its register account number,
Process described in it is as follows：
Three-dimensional foot type scanner is accessed into cloud database.It is required that after scanning and being measured, three-dimensional foot type scanner energy
Enough by the threedimensional model obtained after scanning, measured value, foot type analysis result and the ID that uniquely can be identified for that this scanning result
Files such as (scanning unique IDs) and information are sent to Cloud Server；
The cloud server Quick Response Code of generation with scanning result ID after the scanning result information acknowledged receipt of is errorless, and
It is sent to three-dimensional foot type scanner；
User scans the two dimension that Cloud Server is returned after foot type scanning is completed using three-dimensional foot type scanner by mobile phone
Code concern wechat public number, meanwhile, Cloud Server binding scanning result ID and user's WeChat ID；
User is guided on three-dimensional foot type scanner or registers cell-phone number in wechat public number, and passes through short message verification code
Registration is completed, meanwhile, Cloud Server binding scanning result ID, user's WeChat ID and cell-phone number；
User directly can enter cloud shop or online store by wechat public number and do shopping or using automatic shoe code matching, individual
Propertyization is customized, function and the service such as personalized footwear money recommendation.
It is the execution principle schematic of the matching unit in Fig. 5 as shown in figure 11, automatic shoe code is recommended, personalized customization side
Case provides service for user terminal, and specifically used and implementation process is as follows：The foot type for obtaining user using three-dimensional foot type scanner is believed
Breath and foot shape measurement data；User is registered by three-dimensional foot type scanner or mobile terminal；Seller is according in certain requirement
Shoe tree measurement data and footwear money association attributes are passed to Cloud Server；Shopping platform on User logs in line；Choose a certain footwear money and
Click to enter details page；Trigger Auto-matching function；If what user directly selected is the footwear money for only providing conventional footwear code,
Start automatic shoe code recommendation function, system will predict that the user most possibly wears suitable footwear code and shown in details page
Come；If what user directly selected is to provide the footwear money of the brand of the service of customization, individual character is started after user determines payment
Change customization function, system automatically generates this footwear and is directed to the customized solution of user's foot type, and is sent to seller.
The automatic study module of match parameter is Auto-matching function rear end support module.Match parameter refers to Auto-matching work(
Participating in the one of computing in used mathematical modeling when can recommend realizing automatic shoe code, automatically generate personalized customization scheme is
Row parameter, these parameters include but is not limited to：The coefficient of formula and function, weights, threshold value etc..Its implementation process is as follows：
Step1 seller uploads shoe tree measurement data and footwear money association attributes to Cloud Server according to certain requirement；
Step2 initializes match parameter according to the measurement data and footwear money association attributes of shoe tree；
Step3 records all purchaser records of each footwear money；
Step4 retains complete documentation by data cleansing.Complete documentation refer to complete user's registration information, this
The footwear money association attributes of purchase, shoe tree measurement data, the footwear code of purchase, the foot type information of the user, foot shape measurement data etc. are several
According to record；
Step5 carries out data cleansing to retain effective purchaser record by data mining and machine learning algorithm.Effectively
Purchaser record refers to judge that this purchaser record possesses three conditions by data mining and machine learning algorithm：First is this
The foot type information and foot shape measurement data recorded are that purchase user's scanning is acquired；Second is the footwear money of this purchase
Footwear code for buy user worn；3rd is to buy user to wear the footwear code of this footwear money bought to close
It is suitable；
Step6 reaches certain threshold value when the sample set quantity of effective purchaser record of certain footwear (or a certain class footwear), then
Match parameter autolearn feature is triggered, new match parameter is obtained
The sample set quantity of effective purchaser record is extracted and is verified sample set by Step7 by a certain percentage at random；
Step8 verifies the suitable footwear code of sample set using old match parameter and new match parameter prediction respectively, if
The accuracy predicted using new match parameter is more than the accuracy predicted using old match parameter, then substitutes old matching ginseng
Number, otherwise still uses old match parameter.
It should be appreciated that each several part of the present invention can be realized with hardware, software, firmware or combinations thereof.Above-mentioned
In embodiment, the software that multiple steps or method can in memory and by suitable instruction execution system be performed with storage
Or firmware is realized.If, and in another embodiment, can be with well known in the art for example, realized with hardware
Any one of row technology or their combination are realized：With the logic gates for realizing logic function to data-signal
Discrete logic, the application specific integrated circuit with suitable combinational logic gate circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means to combine specific features, structure, material or the spy that the embodiment or example are described
Point is contained at least one embodiment of the present invention or example.In this manual, to the schematic representation of above-mentioned term not
Necessarily refer to identical embodiment or example.Moreover, specific features, structure, material or the feature of description can be any
One or more embodiments or example in combine in an appropriate manner.
In general, the various embodiments of the disclosure can be with hardware or special circuit, software, logic or its any combination
Implement.Some aspects can be implemented with hardware, and some other aspect can be with firmware or software implementation, and the firmware or software can
With by controller, microprocessor or other computing devices.Although the various aspects of the disclosure be shown and described as block diagram,
Flow chart is represented using some other drawing, but it is understood that frame described herein, equipment, system, techniques or methods can
With in a non limiting manner with hardware, software, firmware, special circuit or logic, common hardware or controller or other calculating
Equipment or some of combination are implemented.
In addition, although operation is described with particular order, but this is understood not to require this generic operation with shown suitable
Sequence is performed or performed with generic sequence, or requires that all shown operations are performed to realize expected result.In some feelings
Under shape, multitask or parallel processing can be favourable.Similarly, although the details of some specific implementations is superincumbent to beg for
By comprising but these are not necessarily to be construed as any limitation of scope of this disclosure, but the description of feature is only pin in
To specific embodiment.Some features described in some embodiments of separation can also in combination be held in single embodiment
OK.Mutually oppose, the various features described in single embodiment can also be implemented separately or to appoint in various embodiments
The mode of what suitable sub-portfolio is implemented.
Claims (10)
1. a kind of personalized online shopping platform analyzed based on big data, it is characterised in that including：Client and cloud service
Device,
The client includes：Terminal and three-dimensional foot type scanner,
The terminal, the identity information to obtain user,
The three-dimensional foot type scanner, the foot type data and corresponding scanning unique mark of user are obtained to scan,
The Cloud Server includes：Cloud database server and cloud application server,
The cloud database server, to store above-mentioned identity information, foot type data and scanning unique ID, the cloud
Application server, above-mentioned identity information, the foot type data and the scanning unique mark to be bound, if binding success,
User's registration is then completed by the terminal,
And, when registered user is by the terminal logs in, match the footwear money of suitable user's dress.
2. personalized online shopping platform according to claim 1, it is characterised in that the three-dimensional foot type scanner and
The cloud application server, to complete following interaction：
S21 is when the three-dimensional foot type scanner starts scanning, and the three-dimensional foot type scanner is to the cloud application server Shen
Please unique identifier,
S22 is used as this in the cloud application server the unique identifier to be sent to the three-dimensional foot type scanner
The scanning unique ID of scanning,
S23 is in the three-dimensional foot type scanner, and the measurement result to complete to scan and get foot type data should to the cloud
The request that new scanning result generation is initiated with server responds and transmits data,
S24 is in the cloud application server, to receive transmission data and after confirmation is completely errorless, preserve present scan
Unique ID and scanning result, and the scanning unique ID and the scanning result are bound.
3. personalized online shopping platform according to claim 2, it is characterised in that the three-dimensional foot type scanner, institute
Terminal and the cloud application server are stated, further comprises following steps：
S25, according to above-mentioned scanning unique ID, an identification is transmitted to wechat public number platform in the cloud application server
Code, and according to the identification code as one public number Quick Response Code of parameter application,
S26 is in the cloud application server, the public number Quick Response Code of application is sent into the three-dimensional foot type scanner, uses
Family by paying close attention to public number after public number Quick Response Code described in the terminal scanning,
Cloud application server described in S27 finds corresponding scanning unique ID by the identification code, completes the scanning only
One identifies the binding of user mobile phone number and WeChat ID in ID and the terminal.
4. personalized online shopping platform according to claim 1, it is characterised in that in the three-dimensional foot type scanner also
It is used to, collection foot type information and/or measurement foot type data are also used in the terminal, gather user's base attribute of user,
The cloud database server is also used to, and receives and synchronously stores shoe tree measurement data and/or footwear money attribute information.
5. personalized online shopping platform according to claim 1, it is characterised in that also wrapped in the cloud application server
Include：Registered user's behavior unit, intelligent recommendation unit, intelligent search unit, matching unit,
Registered user's behavior unit, to record the additional letter that behavioural information and behavior are produced on each line of registered user
Breath,
The intelligent recommendation unit, after user logs in every time, to trigger user's recommendation function,
The intelligent search unit, when user uses searched page every time, to trigger the automatic function of search of user,
The matching unit, in each access details page of user, to trigger Auto-matching function.
6. personalized online shopping platform according to claim 5, it is characterised in that the intelligent recommendation unit, is also used
To be recommended according to preset basic label rule,
And, according to the information obtained from the terminal and the three-dimensional foot type scanner, and the attribute of different footwear moneys is combined, obtained
To user's preferences or there is purchase possible footwear money sequence, and recommended according to sequence.
7. the personalized online shopping platform according to right wants 5, it is characterised in that the matching unit includes：Footwear code is pushed away
Module, customized solution module and coupling learning module are recommended,
Start when footwear code recommending module, footwear money to select conventional footwear code in user, and predict that the obtained user can
Suitable possibility highest footwear code can be worn to show by details page again,
The customized solution module, pays to start when user selects and provides the footwear money of the service of customization, and in user's determination
Start personalized customization function after money, generate the customized solution that this footwear is directed to user's foot type,
The coupling learning module, to provide used in the footwear code recommending module and/or the customized solution module
With parameter.
8. a kind of personalized online shopping implementation method analyzed based on big data, it is characterised in that comprise the following steps：
The identity information of user is obtained,
Scanning obtains the foot type data and corresponding scanning unique mark of user,
Above-mentioned identity information, foot type data and scanning unique ID are stored,
By the binding of above-mentioned identity information, the foot type data and the scanning unique mark, if binding success, pass through the end
End completes user's registration,
And, when registered user is by the terminal logs in, match the footwear money of suitable user's dress.
9. personalized online shopping implementation method according to claim 8, it is characterised in that also comprise the following steps：
Set in a complete scan period, and by the scanning unique ID of same user, scanning foot type data result, use
Family WeChat ID, user mobile phone number are bound, and obtain registered user.
10. personalized online shopping implementation method according to claim 9, it is characterised in that also comprise the following steps：
The additional information that behavioural information and behavior are produced on each line of registered user is recorded,
After user logs in every time, user's recommendation is carried out,
When user uses searched page every time, carry out user and search for automatically,
In each access details page of user, Auto-matching is carried out.
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