CN109583920A - Individualized consumption information production method and management system - Google Patents
Individualized consumption information production method and management system Download PDFInfo
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- CN109583920A CN109583920A CN201710881060.2A CN201710881060A CN109583920A CN 109583920 A CN109583920 A CN 109583920A CN 201710881060 A CN201710881060 A CN 201710881060A CN 109583920 A CN109583920 A CN 109583920A
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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
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- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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Abstract
This disclosure relates to individualized consumption information production method and management system.A kind of individualized consumption information production method and a management system, in method, management system obtains consumption data from the portable device that consumer carries, form personal consumption route, and personal consumption route database is established accordingly, mass data library is established from the consumption data of multidigit consumer simultaneously, data in the middle execute classification after analyzing, effective information in acquirement, the mutual-action behavior of various individualized consumption information is faced including analyzing each consumer, establish deep learning database, the result of deep learning is used to correct the content of personal consumption route database Yu mass data library.The consumption type that consumer can be obtained after network analysis consumption data is established or is corrected with this corresponding consumer and describe file, therefrom may determine that consumer characteristic, can generate an individualized consumption information.
Description
Technical field
A kind of consumption information production method and system, it is especially a kind of by obtaining personal consumption route data, through flood tide
Data analysis and the method and related management system that individualized consumption information is generated after deep learning.
Background technique
Mass data (Big data) refers to the activity data that all kinds of users are collected by various equipment.Such as
Web service dealer can obtain user's browsing by the record (such as cookies) in web browser (web browser)
The data of network, therefore the hobby and interest of user can be obtained according to the attributive analysis of visit webpage；Community media services
Dealer (such as Facebook, Line etc.) can obtain activity data of the user in community media easily, in addition to that can obtain
To outside personal data, can also analyze to obtain the community of each point of group (such as gender, learns experience, area, country at age level)
Activity trend；The purchase data of the available each consumer of the dealer of managing E-business, therefore available different groups
Consumer the propensity to consume, with benefit subsequent point of group marketing.Other application is in addition, if can obtain prolonged traffic flood tide number
According to traffic competent authority can be allowed to predict the traffic condition of each period, it might even be possible to because making the measure of dredging in advance and solving
Certainly the problem of traffic；Judge for government, can analyze to obtain will of the people trend, Ke Yizuo from the whole mass data of the people
More accurate decision out.
Obviously, mass data can provide user and more easily live, provide enterprise and look for business opportunity, government is allowed to make just
True decision, however, possessing the establishment of mass data or government unit can obtain outside data needed for oneself, flood tide number
According to continuation, a hundred flowers blossom, but still conceals many information still leaved for development.
Summary of the invention
The production method and management system embodiment that consumption information is individualized according to the revealed suitable ground property of specification, when being
System obtains the consumption data of consumer by the software program in the portable device of consumer end, and system can obtain consumer accordingly
Personal consumption route, and then obtain the whole propensity to consume analyzed of mass data, and further cooperate deep learning
Science and technology obtains consumer and the movable connection relationship of backend business, and can correct the trend in personal consumption route and mass data
Analyze result.
The embodiment of the production method of consumption information is individualized according to suitable ground property, method includes being consumed certainly by a management system
The portable device that person carries obtains consumption data, it may include location information, temporal information, and consumption content, it then can be in pipe
A personal consumption route is formed in reason system, more personal consumption route can establish a personal consumption route database, wherein remembering
The consumer for carrying corresponding each consumer describes file.Then, consumption data is analyzed, a consumption type is obtained, in addition to build
Consumer that is vertical or correcting corresponding consumer describes outside file, and file can be also described from consumer and judges consumer characteristic, root
An individualized consumption information is generated according to consumer characteristic.
Further, through obtaining the consumption data of multidigit consumer, system can establish a mass data library, mass data library
It further include each to record the consumption data for multiple groups that the multidigit consumer obtained from personal consumption route database is formed
The data that the other non-consumption behaviors of consumer generate, then, the data of consumption data and non-consumption behavior generation are through a data point
An overall trend is obtained after analysis, for example, the propensity to consume of commercial circle, the Consumption of hotel owner, a regional consumer can be obtained
Activity, and/or be the propensity to consume of point group.
Then, it from the mass data library consumption data obtained and/or the data of non-consumption behavior generation, is analyzed through data
Classification is executed afterwards, effective information in acquirement faces the mutual-action behavior of various individualized consumption information including analyzing each consumer,
Can establish a deep learning database, and describe file to establish consumer, or according in deep learning database through depth
The result of study feeds back to personal consumption route database and mass data library, respectively to be disappeared according to consumption data amendment correspondence at any time
The consumer of expense person describes file.
It include a computer system in the embodiment of management system, it is carry-on to receive multidigit consumer end by network
The consumption data of device transmission, generates the individualized consumption information to each consumer；Including a personal consumption route database,
The consumption data formed to record the process that multidigit consumer is consumed, each consumption data correspond to the individual of each consumer
Route is consumed, each consumption data includes at least a consumption time and a consumption place；Including a mass data library, to record
From personal consumption route database obtain multidigit consumer formed multiple groups consumption data, further include each consumer its
The data that its non-consumption behavior generates；It is whole that the data that consumption data and non-consumption behavior generate obtain one after data analysis
Trend, the Consumption of the propensity to consume, hotel owner including commercial circle, a regional consumer activities, and/or be the consumption of point group
Trend；Including a deep learning database, to record the consumption data obtained from mass data library and/or non-consumption behavior
The data of generation, the consumer for establishing each consumer describe file, and learn to obtain each consumer for the individualized consumption
The reaction of information, to correct the data analyzed in personal consumption route database and mass data library through data.
It further, equally will be from each consumption in the step of generating individualized consumption information by aforementioned computer system
Person carry portable device obtain consumption data can obtain the consumption type of consumer after analyze consumption data, with foundation or
Amendment consumer describes file, and then, system can describe file from consumer and judge consumer characteristic, according to consumer characteristic
Generate individualized consumption information.
In another embodiment, management system can link a parking management system, to obtain the parking information of consumer.
Wherein, management system system can a computer system realize that the software module for operating on computer system mainly includes
One consumption data collects module, to collect the consumption data of multidigit consumer end portable device transmission；One third party's data are searched
Collect module, to obtain the non-consumption behavior generation other than the consumption data that multidigit consumer is obtained by portable device
Data；And a data analysis module, to analyze consumer in the consumption data of one or many consumption, to obtain each time
Path, place, time and the condition of consumption of consumption, to establish personal consumption route database；Analyze the consumption of multidigit consumer
Data are established to judge entirety or divide the mass data library of group's propensity to consume；And it is analysed in depth through a machine learning module
Consumption data with labyrinth, to establish deep learning database.
In order to be further understood that technology, method and effect of the invention taken to reach set purpose, please refer to
Detailed description, schema below in connection with the present invention, it is believed that purpose, feature and the feature of the present invention, when can thus be able to deeply and
Specific understanding, however institute's accompanying drawings are only for reference and description, the person of being not intended to limit the present invention.
Detailed description of the invention
Fig. 1 is shown as generating the database schema implementation example figure for the management system that suitable ground property individualizes consumption information；
Fig. 2 show the computer architecture embodiment schematic diagram of management system；
Fig. 3 show the embodiment architecture diagram of management system connection parking management system；
The embodiment configuration diagram of Fig. 4 display management system；
Fig. 5 shows the embodiment flow chart of individualized consumption information production method；
Fig. 6 schematically shows the implementation example figure that file is described using the consumer that management system obtains；
Fig. 7 is shown as the embodiment flow chart that description generates the individualized consumption information of suitable ground property；
Fig. 8 is shown as generating the flow chart of one of the individualized consumption information of suitable ground property application.
[symbol of figure briefly describes]
Personal consumption route database 10
Customer identification 101
Path 102
Consume place 103
Spending amount 104
Parking information 105
Mass data library 12
Overall trend 121
Deep learning database 14
Consumer describes file 141
Specific embodiment
Specification discloses one kind suitable ground property and individualizes consumption information production method and management system, mainly by being installed on
The software program (such as APP) of consumer's portable device (such as mobile phone) obtains consumer in different location, different time and specific feelings
The consumption data generated under condition may include that record consumer drives or coach reaches some commercial circle or consumption place mistake in the middle
Event in journey, and arrive at the destination the consumption data of generation through compressive classification, analysis, and combines big data analysis, can be with
It obtains suitable ground property and individualizes consumption information.
It wherein generates suitable ground property and individualizes the management system main frame of consumption information in several databases, including Fig. 1 institute
Show the database schema implementation example figure for generating the management system that suitable ground property individualizes consumption information, wherein display is desirable at the first time
The personal consumption route database 10 of personal consumption data is obtained, the data in personal consumption route database 10 can be used to track
Data of the consumer in consuming and obtaining the process serviced, collect.Wherein, this people is established by more personal consumption route
Route database 10 is consumed, the consumer that corresponding each consumer is described describes file (persona).
According to embodiment, system can obtain consumption by consumer's portable device (software program in being such as implemented in)
Person's identification information 101 becomes a part of customer identification 101, such as user's identification code (user of login system
ID) or the unique hardware code of consumer's portable device, telephone number, Email etc. can be to identify that consumer's is each
Kind information.System can also obtain the mobile path 102 of consumer by consumer's portable device, including driving, cycle, multiply
The modes such as vehicle, walking reach the path in consumption place, and lasting mobile formation can be obtained by the positioning circuit in portable device
Path 102.System can obtain the consumption gold for reaching certain consumption place 103 and completing consumption by consumer's portable device
The consumption datas such as volume 104.The acquisition mode of these consumption datas first is that software program by being implemented in portable device, this
A software program assists consumer to complete consumption, also records the consumption datas such as time, path, place, the amount of money simultaneously.It is worth mentioning
, in one embodiment, management system described in specification because can link a parking management system database and
The parking information 105 of available consumer, including down time, parking position and the time for leaving parking stall, so that management system
It unites the event relevant to consumption activity such as down time, parking position of available consumer, can all become and execute analysis
One of consumption data.
Management system includes a mass data library 12, and can collect more people from personal consumption route database 10 (can form
Multiple groups) consumption data caused by various consumer behavior for executing in different time, different location, these consumption datas remove
It can be obtained from personal consumption route, further include the data that consumer individual generates in other non-consumption behaviors, such as consumer
Personal data (age, gender, learn experience etc.), activity in community network (as pasted text, reply, as praising), going
Side (such as check card place, global positioning information) and hobby (result that data are analyzed in such as community).Pass through flood tide number
An overall trend 121 is obtained after data analysis for the data that consumption data and non-consumption behavior generate according in library 12, this
The propensity to consume of large-scale such as one commercial circle of overall trend 121, the Consumption of hotel owner, a regional consumer
Activity, and/or be the propensity to consume of point group, divide group such as race, age level, gender, learn the consumption that the data such as experience are identified
Person group can obtain from the analysis of mass data.
Management system further includes a deep learning database 14, to record the consumption number obtained from mass data library 12
According to, or plus the data that non-consumption behavior generates, classification, effective information in acquirement, including analysis are executed after data are analyzed
Consumer faces the mutual-action behavior of various individualized consumption information (such as advertisement), such as ignores advertising information (as deleted advertisement), point
Enter advertising information (linking as entered advertisement), and the time etc. of display advertising information, in this way, obtaining consumer through deep learning
After the behavior of various consumption information, it can calculate payment advertiser, including calculate payment by effect (pay for performance,
PFP) or argument enters to calculate payment (pay for click) etc..It, can after even obtaining correct information after learning in various information
To be used to correct the data analyzed in personal consumption route database 10 and mass data library 12 through data, in personal consumption
Route database 10 establishes consumer and describes file 141, according to the result energy feedback in deep learning database through deep learning
To personal consumption route database 10 and mass data library 12, and consumer can be corrected according to consumption data at any time and describe file
141。
The system that each database is designed with data operation behind, is mainly realized by computer system, can refer to Fig. 2 institute
The computer architecture embodiment schematic diagram for showing management system, in this example diagram, personal consumption route database 10, mass data library
12 link a computer system 20 with deep learning database 14, and computer system 20 can the large size realized of the mode of gathering together
Computer can also disperse the arithmetic system or specific servo-system calculated, and it is individualized to be responsible for operation generation suitable ground property
The consumption data of consumption information.
Wherein, the telecommunication circuit of computer system 20 obtains each consumer's portable device (201,202,203) through network 22
The data of generation, portable device 201,202,203 can be various forms of personal computer devices, wherein executing and management system
The software program of system communication, software program can provide the information of the various consumption demands of consumer, such as parking information, consumption place
Information (preferential, price, new product etc.), other suitable ground property information, or even the solution of action payment is provided, when use, also can
It is required that consumer's accessing system, so that being obtained after management system can obtain customer identification by consumer's portable device
Personal consumption data can obtain the consumption course of consumer individual, after 20 operational analysis of computer system to establish individual
Consume route database 10.
The consumer's personal consumption course recorded in the personal consumption route database 10.For example, from data
Show that the position at a certain moment of consumer Mr. Yu year in such a month, and on such a day reaches commercial circle A；The data for compareing parking management system, can obtain
Know the vehicle parking position B that consumer drives or takes；Data show that consumer has a meal into dining room C, and system can obtain packet
Include the consumption data of article of consumption, time and amount of money etc.；And do shopping to shop D, system obtains article of consumption, time and gold
Volume；The E that goes to the Shopping Mall again goes window-shopping, and in some shop, F goes window-shopping, even without generating spending amount, but when system also obtains stop
Between；Later in some coffee shop G point a cup of Java；Before knowing that consumer leaves coffee shop G according to location information after system
It goes to drive, learns that vehicle leaves the time of parking position B from parking management system.The above consumption data includes that multiple consumption are lived
Dynamic location information A, B, C, D, E, F, G etc., in addition the information such as article of consumption, time, amount of money, can go out consumer with comprehensive descision
This consumption route if recording in conjunction with consumer history, or may include the related interactive data of consumer's community media, calculate
Machine system 20, which can analyze, show that the consumption habit of consumer (can be obtained from the place of habit consumption, article of consumption, consumption classification
Out), hobby (shopping can be analyzed to obtain with the project gone window-shopping), economic capability (can be obtained from the average consumption amount of money), so that management
System can summarize the personal consumption data of consumer, become a part that consumer describes file.
Personal consumption route database 10 provides a large amount of personal consumption data, these data establish mass data library
12, the data in mass data library 12 are after 20 operation of computer system, it can be deduced that the whole propensity to consume, such as some area, quotient
Enclose the consumer activities in range, or divide the propensity to consume of group, as some age level, gender, occupation consumer at some
Consumption activity of time etc..For example, the consumptive power that certain groups can be obtained from mass data analysis, after position analysis
Some commercial circle is in the consumptive power with higher of which group out, and can analyze out consumption activity distribution daily in one week.
It is taken over later by deep learning database 14, computer system 20 can analyze acquired mass data, for example,
The consumption course of the group of multiple personal consumption course and this opposite consumer for some consumer, can exclude
Occurrent consumer behavior, even wrong information, and valid data in obtaining, disappear in combination with consumer's others are non-
Take the data of behavior, forms the data of correctly one consumer of description, establish consumer and describe file 205.Moreover, passing through machine
Study, repetitive operation and analysis, can be used to correct in personal consumption route database 10 and mass data library 12 once and again
The data analyzed through data, amendment consumer describe file 205.
It is noted that when management system obtains consumption from the software program for being implemented in portable device 201,202,203
When data, consumption data can be transmitted to computer system 20 through network 20 in real time, and continue to establish personal consumption route, flood tide number
According to the step of with deep learning, in the process, consumption information (such as advertisement) dealer can describe text according to the consumer having built up
Consumer attributes in part 205, obtain consumer characteristics, broadcast consumption information (such as advertisement) by management system, especially
It is suitable ground property consumer spending information, that is, management system can grasp the position of consumer, according to consumption information dealer's
Marketing demand broadcasts the consumption information of suitable ground property.It, can also be further by the software program in portable device 201,202,203
Response of the consumer for these consumption information is obtained, is further acted for example, consumer can be obtained, is broadcast including closing to push away
Information clicks and enters the information for pushing away and broadcasting, or even has next step action.These movements are all a part to form consumption data, are persistently built
Vertical personal consumption route, the analysis of mass data and deep learning and etc..
It is described according to above embodiments, management system obtains the parking information of consumer in combination with parking management system, real
Applying example can refer to system architecture diagram shown in Fig. 3.
Management system 33 connects parking management system 35 through network 30, and the company for managing parking management system 35 can employ
Whether artificial registration consumption proximal site parking stall parking condition, including record parking position have vehicle and vehicle license number, parking
Time, time departure etc.；Or the parking information on each parking stall is obtained by the various location technologies of parking lot management.Such as
This, management system 33, which can stop, to be obtained specific commercial circle from parking management system 35 or consumes the parking information of proximal site,
The location information generated through control consumer's portable device 31, and fit through and log in the vehicle letter that management system establishes connection
Breath, available parking information relevant to consumer also can accurately show that consumer is attached in this commercial circle or consumption place
Close parking activity.
In a specific embodiment, information of vehicles is set by the software program being implemented in portable device 31, to use
Person's identification code corresponds to one or more information of vehicles.Once consumer, in conjunction with parking information, management system can also grasp consumption
Person and then provides consumption with nearby stores (shop 1, shop 2 302 and shop 3 303) cooperations in the consumption activity of commercial circle
The preferential measure of deduction Parking Fee, can attract consumer to come to consume whereby.
Parking management system 35 can provide newest parking space information to management system 33 at any time, when consumer hold with
Shop 1 is gone in the driving of body device 31, and when vehicle is stopped on neighbouring parking stall, the servo-system of parking management system 35 can
To obtain parking information according to the above aspect, including obtain vehicle number, parking position and down time.At this moment, before user
It goes shopping one 301 consumption, the service of offer is provided by management system 33 with parking management system 35, consumer can be allowed in quotient
The all or part of Parking Fee of spending amount deduction in shop 1.If consumer continues have other consumption, similarly transmission consumption
Data receive control one user identification from the portable device 31 of consumer through network 30 by management system 33 to management system 33
Code one or more consumption information, can system end accumulate consumption information, consumption information may include spending amount, project, the time,
Entity information etc., wherein any combination of one or more information all can be the foundation of formation deduction Parking Fee.
Furthermore, once some commercial circle can be obtained according to the data of parking management system 35 or consume the parking letter in place
When breath, management system can describe the consumption habit that file judges the consumer through deep learning according to consumer, and actively mention
It is attached for the parking space information that consumer can stop in some commercial circle or consumption proximal site, or from the dwelling that consumption place returns to dwelling
Nearly parking information.Parking stall navigation Service is even provided.
In the embodiment architecture diagram of management system shown in Fig. 4, the work that management system 40 executes can be by computer
Hardware circuit collocation software module in system is realized, mainly includes the place for executing various software programs in hardware components
Device and memory are managed, further includes establishing personal or group's mass data database, also passes through the communication technology and data gathering techniques
It is obtained from the portable device 411,412,413 of consumer and consumes movable data, preferably, portable device 411,412,413 is held
The particular software application that row has management system 40 to provide allows consumer can be with login system, and agrees to that the acquisition of management system 40 disappears
The data generated in expense person's consumption activity preferably disappear in this way, management system 40 can also analyze offer consumer by data
Charge information, also such as the revealed individualized consumption information of specification, if the business activity in cooperation consumption place, commercial circle and shop,
The more meaningful suitable ground sex service of consumer can be provided.
In this example, management system 40 obtains consumption data from portable device 411,412,413 by network 42, works as consumer
When carrying the movement of portable device 411,412,413, the software program executed in portable device 411,412,413 starts to collect number
According to by the software module division of labor processing in management system 40.According to this embodiment, software module system in the middle is with function distinguishing,
For program designer, these functions can be combined or gone out respectively with various program technics.
Management system 40 obtains there are many modes of consumer data, directly consumer can also be required to fill in questionnaires
It arrives, is additionally provided with consumption data and collects module 403, when management system 40 is generated received from each terminal portable device 411,412,413
Data when, consumption data collects module 403 to gather data, and executable preliminary analysis and filtering out is judged as and does not anticipate
The data of justice；Data analysis module 402 then takes over analysis data, mainly according to the demand of management system 40, by manager
Setup parameter obtains wherein significant data.For example, executing the carry-on of the software program for thering is system to provide when consumer carries
Device, the positioning circuit in portable device will can provide the location information of portable device, while can be according to position zinformation
Judgement stops or without stopping data somewhere, and then judges shop, commercial circle or area that consumer is consumed,
If taking concerted action means of payment, available spending limit.For obtaining the information of spending limit, management system 40 can match
It closes shop or payment services manufacturer obtains consumption data.
In this way, data analysis module 402 can analyze to obtain consumer in the related data of one or many consumption, including
Path, place, time and the condition of consumption can so establish personal consumption route database 10, and establish disappearing for every consumer
Expense person describes file (persona), and the description such as the attribute of this consumer, background, hobby after analysis is described.Work as pipe
Reason system 40 can through data analysis module 402 by the consumption data that consumption data collection module 403 obtains most consumers
To establish to judge entirety or divide the mass data library 12 of group's propensity to consume.Then, data analysis module 402 treated number
According to through a machine learning module 408, in-depth analysis has the consumption data of labyrinth, and data are penetrated multiple process layers
(layer) the linearly or nonlinearly conversion (linear or non-linear transform) in, capture representative it is individual or
The feature (feature) of whole consumption data of consumers characteristic, decision-making module 401 can obtain pair according to data analysis module 402
The helpful information of decision, the especially decision of the assistance subsequent commercial activity of advertisement owner 407 (as launched advertisement).Carry out depth
When study calculation, the mathematical model of the technology of application such as neural network, with the specific algorithm that can be implemented in relevant art
Then, optimal result is obtained after the analysis of successive optimization data.And these results will establish deep learning database 14.Management system
System 40 obtains effective and accurate information from deep learning database 14, and information can provide subsequent commerce services, more can be into
One step corrects the data in personal consumption route database 10 and mass data library 12.
Furthermore, management system 40 can also be obtained in addition to consumer is by filling with oneself by third party's data gathering module 404
Set the information other than the consumption data of 411,412,413 acquirements, the data generated such as non-consumption behavior.For example, management system 40
Link public database (open data) by third party's data gathering module 404 and obtains control time, place or region
Associated event data；By third party's data gathering module 404, the data in community media can be linked, to obtain consumer
Activity data in community media；The parking letter that parking management system (such as Fig. 3,35) control obtains consumer can be linked
Breath, and then learn consumer in the activity of some regions；The shop that spending amount data are provided, payment services factory can also be linked
The external servo-system such as quotient or bank, obtains the spending amount of consumer；If collecting module 405 via by sales data,
The whole masses can be obtained or divide the whole propensity to consume of group, rather than be only limitted to the available data of system.In this way, by with
Upper third party's data gathering module 404 or sales data collect the data that module 405 obtains can via data analysis module 402
So that management system 40 more completely obtains individual's (consumer describes file) or the data of affiliated point of group of consumer.
When management system 40 establishes personal consumption route database 10, mass data library 12 and deep learning database
14, and the demand (strategy of marketing advertisement) of advertisement owner 407, decision model are analyzed by want advertisement analysis module 406 simultaneously
Block 401 can be obtained according to data analysis module 402 and want advertisement analysis module 406 to the helpful information of decision, and then is produced
The decision of raw decision, especially commercial activity (as launched advertisement), to provide the service of precision marketing.
For example, advertisement owner 407 inputs want advertisement by the User's Interface that management system 40 provides, and such as wishes
The promotion plan for broadcasting nigh some shop of consumer is pushed away in some commercial circle, want advertisement analysis module 406 can analyze
The parameter of this demand.Management system 40 can inquire consumer from personal consumption route database 10 and describe file, obtain pair
The hiding list that this commercial circle or shop promotion plan are interested in, once the location information of the portable device of consumer is shown in the quotient
When near circle, the individualized consumption information ready to receive issued to management system 40 according to 407 demand of advertisement owner, attraction disappears
Expense person can go to consumption.In the example of another precision marketing, if what management system 40 was generated according to consumer's portable device
Location information knows that this consumer does shopping in another place commercial circle at present, and through analyzing, this consumer be should be to shop promotion side
The interesting people of case, and commercial circle is that the commercial circle type of the dispensing advertisement of advertisement owner 407 is consistent at this, management system 40 can disappear to this
The person of expense broadcasts the individualized consumption information in the promotion plan in some shop of certain commercial circle etc..
Fig. 5 then shows one of the embodiment of individualized consumption information production method flow chart.
At the beginning, such as step S501, consumer carries the portable device for executing and having particular software application, software journey to this process
Sequence can obtain the consumption data of portable device generation, including location information, temporal information, and consumption content, consume content
It may include the personal consumption data such as the amount of money of article of consumption, consumption place and the certain consumption of payment, in step S503, management
System obtains one or more consumption datas of these terminals generation by network.Data point such as step S505, in management system
Analysis means can classify to these consumption datas, such as analyze and determine out consumption place included in consumption data (such as
Commercial circle, store locations, shopping center) with consumption type (such as food, clothing, live, it is capable, entertain), and can according to consumption time,
The information such as date and the amount of money judge the consuming capacity of consumer.
Then, such as step S507, pass through the mechanism analysis consumption data of data analysis and deep learning in management system
In significant information, and learn according to the analysis result of more data the data of every consumer or affiliated point of group, and energy
The data obtained in the past are corrected, such as step S509, above data is to establish database, and generation consumer's description text
Part.For another example step S511, describing file from consumer may determine that consumer characteristic, these features will be mentioned as management system
For individualizing the foundation of consumption information, such as step S513, management system compares demand and consumer characteristic, generates and broadcast individual
Change consumption information.The information of individualized consumption information such as advertisement marketing.
In step S515, after management system broadcasts individualized consumption information by specific communications means, it is in next step
The reaction that consumer individualizes consumption information to this can be obtained.For example, management system is found out according to the demand of advertisement owner
The consumer of potential marketing, and meet lower advertisement broadcasting information to consumer in condition (such as condition of time, place), work as consumption
When person receives this advertising information, it might have several situations.For example, situation one be at once or stop the short time after by this
Advertisement is deleted；Situation two is to delete after watching one section of longer time of this advertisement；Situation third is that seen advertisement, and click and enter advertisement and
Link further information.For management system, such as step S517, management system can obtain these customer responses,
And carry out data analysis.For example, above situation one indicates that consumer is not intended to understand the content that advertisement is recorded, it also can be first
Step judges that consumer may be not interested to such commodity；Situation two may indicate that consumer does not arrange the content that advertisement is recorded
Reprimand, the wish not further appreciated that but；Situation three then indicates that the commodity that consumer records this advertisement or service are interesting,
And even have the wish of consumption.In this way, these information can be used to correct database and consumer such as step S519
File is described.
If management system continues to repeat above step, multiple customer response and deep learning, are disappeared by analysis
Behavior of the person of expense for various consumption information more and more can accurately understand the hobby and interest of consumer, and then provide more smart
Quasi- marketing message, and then go out to promote the service of advertisement benefit to advertising is featured.Conversely, perhaps consumer may just see gradually
Less than not interested relevant information, management system still can attempt the consumption habit of study consumer in this case, can be with
By the consumption interest for pushing away advertisement and developing consumer's other aspects when specific time, place.
Fig. 6 schematically shows the implementation example figure that consumer describes file.
Management system establishes personal consumption route database, mass data library and depth according to the consumption data of consumer
Learning database, wherein process can establish consumer and describe file, this is the description file for defining consumer attributes, Ke Yirang
System quickly obtains consumer characteristics.Consumer describes file and is mainly made of data and structuring text, is described
Consumer demand and behavior, or obtained according to these Data inductions, it can finally be formed with readable description content, shape
At condition directly obtained from consumer spending behavior except through system relevant software programs, be included in shop, commercial circle or net
Network store obtains consumption data, and system also can obtain the data of various kinds from the Community of consumer.Consumer describes in file
Any combination for being exemplified below content can be recite, it may include partly or entirely, such as consumer image 61, consumer attributes
62, consumer's background 63 (figures' archives are write in description, include age, place, academic title and personage's type), personal description 64 are (specific
Describe this figure kind's type with the most prominent discrepancy of other people why), demand or target 65 (be documented in serviced using field domain it is maximum
It is expected that with target why? what is the need for and ask or desire?), mood or attitude 66 (record the expected expected value for entering field domain and service be
What? why are the viewpoints such as service, company brand, product quality?) and behavior description 67 (record consumption before with consumption in door
The idea and behavior in shop).
For example, by establishing disappearing for personal consumption route, mass data analysis and deep learning consumer
After taking data, final analysis result will be recorded in consumer and describe in file, be described:
Consumer attributes (62) are " unmarried white collar office worker "；
Consumer's background (63) be " (1) women, it is 30 years old, unmarried, have no children, occupation be secretary；(2) most often in electronics quotient
Business platform buys the commodity such as clothes and jewellery；(3) 1 time or more e-commerce platform can be about strolled daily, buy commodity with female
Based on property dress ornament, house articles；It (4) is consumer based on demand, purchase commodity price is according to income and expenditure remaining sum, most
Do the decision bought in their own needs afterwards "；
Individual's description (64) is that " (1) does not do shopping blindly, does shopping according to their own needs, and can be according to different electronics
Purchase is just determined after the business platform rate of exchange；(2) particular brand can be locked, actively obtains consumption letter from different merchandise news sources
Breath, then assess on demand；(3) it can also arrive solid shop/brick and mortar store interview and ask the information collected；(4) it is thin to pay attention to e-commerce after-sale service
Section, such as service evaluation；(5) pay attention to the service of addressee and the return of goods, more different shopping pipelines, it is desirable to obtain preferable service；(6) it passes through
It after comparing different e-commerce platforms, then with demand and price is to pay the utmost attention to factor "；
Demand or target (65) are that " (1) dress ornament locks particular brand, based on non-famous brand name commodity at a middle or low price；(2) phase
To which the product for meeting oneself demand, and price material benefit can be found "；
Mood or attitude (66) be " (1) although inquiring the identical commodity of higher price in specific electron business platform,
Still probably due to there is preferably service and assessing network and determine to buy, and the information such as after-sale service are read over, first by information
Collection is got up；(2) if can be inquired to entity StoreFront for particular brand, it can try on or try out if dress ornament, and actively levy
Ask the introduction and suggestion of attendant "；
" (1) is still liked does shopping in specific well-known e-commerce platform, because having well after sale for behavior description (67) record
Service, special shipment and return process are simple；(2) think that net can be avoided by the information collected is asked to solid shop/brick and mortar store interview
Network information is exaggerated not firm ".
In another example, consumer, which describes file, to be recite:
Consumer attributes (62) are " be in Jie An SOHO race "；
Consumer's background (63) be " (1) male, it is 45 years old, married, give birth to 2 children, profession is translation；(2) most often in 3C
Sales field or e-commerce platform shopping, main commodity of buying are digital commodities, such as 3C；(3) 1-3 electricity can be strolled about one week
Sub- business platform buys commodity based on computer periphery, action periphery, modish household wares；(4) habit is specific well-known in browsing
Commodity of electronic business platform, and going window-shopping to well-known electronics street or market, it is main according to assessing network with use gains in depth of comprehension
Determine shopping, it is seen that the product met can still hesitate and can just determine to place an order after a period of time "；
Individual's description (64) is " (1) and infrequently to buy 3C commodity, be not in family to study based on specification and function
Main buyer, main according to needing to buy household wares in family, the commodity being secondly just interested in individual demand purchase；(2) most
Often using lunch break search 3C Product, often in evening determine place an order after, can the next day pickup；(3) like searching phase on network
It with the price and evaluation of commodity, but still is usually just consumed in a few e-commerce platform, purchase commodity extremely hesitate；(4)
The safety for focusing on purchase pipeline, with credit card purchase on minority electrons business platform；(5) commodity are long using the time, do not chase after
It asks and possesses newest commodity "；
Demand or target (65) are " because it is contemplated that safety and after-sale service, only flat in a few well-known e-commerce
Platform shopping, occasional buy 3C Product in entity StoreFront "；
Mood or attitude (66) are that " (1) likes oneself research specification and the rate of exchange, can grid of reference evaluation and text of unpacking；(2)
There is no brand consideration, considered with function based on；(3) commodity bought are durable most important "；
" (1) habit goes to a few e-commerce platform to do shopping for behavior description (67) record；(2) pass through entity occasionally
Shop can enter interior inquiry content of good, not will receive hotel owner and introduce and be affected；(3) purchase commodity are not got excited, or very
It hesitates ".
Consumer described above, which describes file, to be corrected after the analysis and deep learning of each consumption data, and
And the interest of every consumer and habit may also as the time changes, management system will correct data-base content at any time.
Fig. 7 continues to describe the embodiment flow chart for generating the individualized consumption information of suitable ground property, in this process, in step
In S701, system first obtains consumer for certain consumer and describes file, therefrom show that consumer likes, for another example step S703,
Management system continues to obtain various consumption datas from consumer's portable device, such as executes the time of consumption, such as step S705, takes
Place etc. must be consumed.Management system can make decisions at this time according to consumption data, first such as step S707, to the consumption number of acquirement
According to data analysis, including step S709 is carried out, consumption type is judged, such as show that consumer is ongoing from consumption data and disappear
Take activity be food and drink, shopping or amusement or it is other, at this point, management system will inquire database in same type area of consumption
Point and consumption content, and continue such as step S711, the article of consumption of judgement more details, such as food and drink may be Chinese meal, western-style food
Or snack, why buy commodity or purchase item, is film, tourism or concert etc. if amusement.When system from consumption number
After analyzing above-mentioned consumption feature, such as step S713, offer suitable ground property can be provided and individualize consumption information.
If arranging in pairs or groups parking information, the process for generating the individualized consumption information of suitable ground property can refer to Fig. 8.In step S801
In, management system can obtain consumer's parking information, the position that control consumer's portable device generates from parking management system
Information can determine that consumer is stopped near some consumption place really, and in step S803, management system can continue
Obtain consumption data of consumers, such as place, the amount of money, article of consumption, such as step S805, management system in combination with parking information with
Consumption data.
Later, such as step S807, information above becomes system and provides the advertising main broadcaster foundation for sending individualized consumption information,
It is formed and the reference data of shop marketing is provided, therefore, when advertisement owner (such as hotel owner) can nearby stop in consumer, is mobile,
The consumption information of suitable ground property is provided.
For example, when management system learns that consumer is stopped near certain shop or commercial circle, can according to the time (if
Noon) and third party's information, such as weather (if scorcher), at this point, by the marketing advertisement that advertisement owner can be cooperated to set
Strategy issues individualized consumption information, and such as lunch sales promotion information, the dining room that can attract consumer that this lunch is gone to promote is carried out
Consumption.After consumer's lunch, the strategy of the marketing advertisement of cooperation advertisement owner, and describe file from consumer and know that this disappears
Expense person or the demand for having consumption ice product with passerby will can issue the individualized consumption information of ice product to consumer, attract consumer
Go to consumption.
In conclusion individualizing consumption information production method and management system reality according to the suitable ground property that specification is proposed
Example is applied, system obtains consumer's personal consumption route, obtains the mass data that a large amount of consumption datas are formed, after data are analyzed,
Personal or the masses propensities to consume can be obtained, persistently cooperate deep learning, available consumer describes file, and judges
To the individualized consumption information of each consumer's full blast.
The foregoing is merely the preferable possible embodiments of the present invention, all equalizations done according to scope of the present invention patent become
Change and modify, should all belong to the covering scope of the present invention.
[symbol description]
10 customer identification 101 of personal consumption route database
Consume place 103 in path 102
104 parking information 105 of spending amount
12 overall trend 121 of mass data library
14 consumer of deep learning database describes file 141
20 network 22 of computer system
201,202,203 consumer of portable device describes file 205
35 management system 33 of parking management system
30 portable device 31 of network
One 301 shop 2 302 of shop
Shop 3 303
40 portable device 411,412,413 of management system
Consumption data collects 403 data analysis module 402 of module
408 third party's data gathering module 404 of machine learning module
Sales data collects 405 want advertisement analysis module 406 of module
407 decision-making module 401 of advertisement owner
Network 42
61 consumer attributes 62 of consumer image
63 people of consumer's background describe 64
Demand/65 moods of target/attitude 66
Behavior description 67
Step S501~S519 individualizes consumption information and generates process
Step S701~S713 individualizes consumption information and generates process
Step S801~S807 individualizes consumption information and generates process
Claims (10)
1. a kind of individualized consumption information production method characterized by comprising
One management system obtains consumption data from the portable device that a consumer carries, which believes including a position
Breath, a temporal information and consumption content, form a personal consumption route in the management system；Wherein, the more individuals disappear
Expense route establishes a personal consumption route database, which records the consumer of corresponding each consumer
File is described；And the data of the consumption data and/or non-consumption behavior generation through obtaining multidigit consumer, establish a flood tide number
According to library；
The consumption data is analyzed, classification is executed, obtains a consumption type, including each consumer of analysis faces various individualized consumption
The mutual-action behavior of information establishes a deep learning database；
It establishes the consumer and describes file, or the individual is fed back to according to the result through deep learning in the deep learning database
Route database and the mass data library are consumed, to describe at any time according to the consumer that consumption data corrects the corresponding consumer
File；And
File is described from the consumer and judges the consumer characteristic, and an individualized consumption letter is generated according to the consumer characteristic
Breath.
2. individualized consumption information production method as described in claim 1, which is characterized in that wherein the mass data library to
The consumption data for recording multiple groups that the multidigit consumer obtained from the personal consumption route database is formed, further includes each
The data that the other non-consumption behaviors of consumer generate；The data that the consumption data and non-consumption behavior generate are after data analysis
An overall trend is obtained, the Consumption of the propensity to consume, a hotel owner including a commercial circle, a regional consumer activities, and/
Or divide the propensity to consume of group.
3. individualized consumption information production method as claimed in claim 2, which is characterized in that wherein management system connection one
Parking management system, to obtain the parking information of the consumer, so that each consumption data further includes a down time, one stops
The time that parking stall is left with one in truck position.
4. a kind of management system characterized by comprising
One computer system receives the consumption data of multidigit consumer end portable device transmission by a network, generates to respectively disappearing
The individualized consumption information of the one of the person of expense；
One personal consumption route database, the consumption data formed to record the process that multidigit consumer is consumed, respectively
Consumption data corresponds to the personal consumption route of each consumer, and each consumption data includes at least a consumption time and an area of consumption
Point；
One mass data library, the multiple groups formed to record the multidigit consumer obtained from the personal consumption route database
The consumption data of group further includes the data that the other non-consumption behaviors of each consumer generate；The consumption data and non-consumption behavior produce
Raw data obtain an overall trend after data analysis, the Consumption of the propensity to consume, a hotel owner including a commercial circle, one
The consumer activities in a area, and/or be the propensity to consume of point group；
One deep learning database is generated to record the consumption data obtained from the mass data library and/or non-consumption behavior
Data, the consumer for establishing each consumer describes file, and learns to obtain each consumer to individualize consumption information for this
Reaction, to correct the data analyzed in the personal consumption route database and the mass data library through data；
Wherein, generating the step of this individualizes consumption information by the computer system includes:
The portable device carried from each consumer obtains consumption data, including a location information, a temporal information, and consumption
Content forms a personal consumption route in the management system；
The consumption data is analyzed, consumption type is obtained；
It establishes the consumer and describes file, or the individual is fed back to according to the result through deep learning in the deep learning database
Route database and the mass data library are consumed, describes file to correct the consumer according to consumption data at any time；And
File is described from the consumer and judges consumer characteristic, which is generated according to the consumer characteristic.
5. management system as claimed in claim 4, which is characterized in that wherein the management system links a parking management system,
To obtain the parking information of the consumer so that each consumption data further include a down time, a parking position with one from
The time of driving position.
6. management system as claimed in claim 4, which is characterized in that wherein the reaction of the individualized consumption information includes respectively disappearing
When expense person receives the individualized consumption information, this is individualized into consumption information deletion at once or after the stop short time, watches this
It is deleted after one section of longer time of peopleization consumption information, or after having seen the individualized consumption information, links further information.
7. management system as claimed in claim 6, which is characterized in that wherein corrected according to the reaction for individualizing consumption information
The consumer describes file, which describes any combination that file records following data, including a consumer image, one disappears
The person's of expense attribute, consumer's background, people's description, a demand or target, a mood or attitude and a behavior description.
8. management system as claimed in claim 4, which is characterized in that wherein the management system is by computer system reality
Existing, the software module of the computer system includes:
One consumption data collects module, to collect the consumption data of multidigit consumer end portable device transmission；
One third party's data gathering module, to obtain in addition to multidigit consumer by consumption data that portable device obtains with
The data that outer non-consumption behavior generates；And
One data analysis module disappears to analyze the consumer in the consumption data of one or many consumption to obtain each time
Path, place, time and the condition of consumption taken, to establish the personal consumption route database；Analyze disappearing for multidigit consumer
Take data, establishes to judge entirety or divide the mass data library of group's propensity to consume；And go deep into through a machine learning module
The consumption data with labyrinth is analyzed, to establish the deep learning database.
9. management system as claimed in claim 8, which is characterized in that further include: it is wide to provide one for a want advertisement analysis module
Accuse the strategy of one marketing advertisement of owner's setting.
10. management system as claimed in claim 8, which is characterized in that wherein third party's data gathering module links a society
Group's media, to obtain activity data of each consumer in the community media；Link a parking management system, it is corresponding each to obtain
The parking information of consumer；Or one outside servo-system of connection, to obtain the spending amount of consumer.
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