CN110110859A - Determine method, apparatus, electronic equipment and the medium of firm location - Google Patents
Determine method, apparatus, electronic equipment and the medium of firm location Download PDFInfo
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Abstract
Present disclose provides a kind of methods of determining firm location, comprising: obtains the plot data of at least two data sources；The plot characteristic at least two data sources of the default correlation of indices is determined from the plot data of at least two data source according to default index, the default index includes the index for the plot setting in a region；Plot characteristic based at least two data source generates plot addressing scoring model；It is given a mark using default index of the plot addressing scoring model to each plot, so that enterprise carries out addressing according to the score of the default index in each plot.The firm location result obtained by this method is more accurate, efficiently solves in the related technology because data source is single, so that the result of firm location haves the defects that larger gap with reality.The disclosure additionally provides device, electronic equipment and the medium of a kind of determining firm location.
Description
Technical field
This disclosure relates to which the technical field of internet more particularly to a kind of method, apparatus of determining firm location, electronics are set
Standby and medium.
Background technique
Shops's addressing is always the major issue of a puzzlement enterprise.Current common site selecting method, majority are to utilize enterprise
The data of industry itself obtain a score of certain city each region by one machine learning of training or deep learning model,
And investigated according to score plus practical region, to determine whether new shops can be opened up.
Current firm location method, data required for a firm location in itself passing operation often from being received
Collection, this kind of data often can be only confined in a certain respect or type.Such as a chain food and drink group, have the chain of oneself
But not necessarily there is the resident demographic data in this region in restaurant in the volume of the flow of passengers and income information in some region, consumption data,
And daily population inflow and outflow data etc..Since data source is single, the result that the model itself established obtains is often same
There are larger gaps for reality.
Summary of the invention
In view of this, the disclosure provides method, apparatus, electronic equipment and the medium of a kind of determining firm location, Jin Erzhi
Partially solves the problems, such as caused by the limitation and defect due to the relevant technologies one or more.
The first aspect of the disclosure provides a kind of method of determining firm location, comprising: obtains at least two data
The plot data in source, the plot data include the business datum of enterprise, and each plot includes based on same standard to an area
Domain divides resulting plot；It is determined to preset with described from the plot data of at least two data source according to default index
The plot characteristic of at least two data sources of correlation of indices, the default index include the plot setting for a region
Index；Plot characteristic based at least two data source generates plot addressing scoring model；Utilize the plot
Addressing scoring model gives a mark to the default index in each plot, so that point of the enterprise according to the default index in each plot
Number carries out addressing.
In accordance with an embodiment of the present disclosure, the default index includes following any one or more: the density of population in plot,
Traffic level, the level of consumption in plot in plot.
In accordance with an embodiment of the present disclosure, when the quantity of default index is multiple, the plot addressing scoring model is utilized
Carrying out marking to the default index in each plot includes: using the plot addressing scoring model to the multiple default of each plot
Index is given a mark respectively, obtains multiple scores corresponding with multiple default indexes in each plot.
In accordance with an embodiment of the present disclosure, in multiple default indexes using the plot addressing scoring model to each plot
After being given a mark respectively, this method comprises: adding to multiple scores corresponding with multiple default indexes in each plot
Power, obtains the comprehensive score in each plot.
In accordance with an embodiment of the present disclosure, the plot characteristic based at least two data source generates plot addressing and beats
Sub-model include: in longitudinal federal study frame, using AI model to the plot characteristic of at least two data source into
Row training, obtains the plot addressing scoring model.
In accordance with an embodiment of the present disclosure, when the plot characteristic of at least two data source includes the first data source
When the plot characteristic of plot characteristic and the second data source, using AI model to the plot of at least two data source
Characteristic is trained, and obtaining the plot addressing scoring model includes: the plot characteristic using first data source
The plot characteristic of second data source is modified and/or is supplemented, alternatively, utilizing the plot characteristic of second data source
It is modified and/or supplements according to the plot data to the first data source；Plot based on the first data source after amendment and/or supplement
The plot characteristic of characteristic or the second data source generates the plot addressing scoring model.
In accordance with an embodiment of the present disclosure, the plot characteristic of the plot characteristic of the first data source and the second data source
It is the characteristic in the same plot.
The second aspect of the disclosure provides a kind of device of determining firm location, comprising: module is obtained, for obtaining
The plot data of at least two data sources, the plot data include the business datum of enterprise, and each plot includes based on same
Standard is to a resulting plot of region division；Determining module presets index from least two data source for basis
The plot characteristic at least two data sources of the default correlation of indices, the default index are determined in the data of plot
Index including the plot setting for a region；Generation module, the plot characteristic based at least two data source
According to generation plot addressing scoring model；Scoring modules, using the plot addressing scoring model to the default index in each plot
It gives a mark, so that enterprise carries out addressing according to the score of the default index in each plot.
In accordance with an embodiment of the present disclosure, the default index includes following any one or more: the density of population in plot,
Traffic level, the level of consumption in plot in plot.
In accordance with an embodiment of the present disclosure, when the quantity of default index is multiple, above-mentioned scoring modules are configured to utilize institute
It states plot addressing scoring model to give a mark to multiple default indexes in each plot respectively, obtain multiple pre- with each plot
If the corresponding multiple scores of index.
In accordance with an embodiment of the present disclosure, which includes: weighting block, for multiple default indexes with each plot
Corresponding multiple scores are weighted, and obtain the comprehensive score in each plot.
In accordance with an embodiment of the present disclosure, above-mentioned generation module is configured in longitudinal federal study frame, utilizes AI model pair
The plot characteristic of at least two data source is trained, and obtains the plot addressing scoring model.
In accordance with an embodiment of the present disclosure, above-mentioned generation module includes: amendment complementary module, utilizes the ground of first data source
Block feature data are modified and/or supplement to the plot characteristic of the second data source, alternatively, utilizing second data source
Plot characteristic is modified and/or supplements to the plot data of the first data source；Generate submodule, based on amendment and/or
The plot characteristic of the plot characteristic of the first data source or the second data source generates the plot addressing marking after supplement
Model.
In accordance with an embodiment of the present disclosure, the plot characteristic of the plot characteristic of the first data source and the second data source
It is the characteristic in the same plot.
A kind of electronic equipment is provided in terms of the third of the disclosure, comprising: one or more processors, and storage dress
It sets.The storage device is for storing one or more programs.Wherein, when one or more of programs are by one or more
When a processor executes, so that one or more of processors execute the method as described above for determining firm location.
4th aspect of the disclosure provides a kind of computer-readable medium, is stored thereon with executable instruction, this refers to
Enable the method for making processor execute identification rival commodities as described above when being executed by processor.
5th aspect of the disclosure provides a kind of computer program, and the computer program includes that computer is executable
Instruction, described instruction is when executed for realizing the method for determining firm location.
The method for the determination firm location that the disclosure provides has the beneficial effect that:
By the plot data for available at least two data source of technical solution that the embodiment of the present disclosure provides, and according to
Default index determines the ground at least two data sources of default correlation of indices from the plot data of at least two data sources
Block feature data, the plot characteristic based at least two data sources generate plot addressing scoring model, then utilize plot
Addressing scoring model gives a mark to the default index in each plot, so that point of the enterprise according to the default index in each plot
Number carries out addressing, and the firm location result obtained by this method is more accurate, efficiently solves in the related technology because of data source
It is single, so that the result of firm location haves the defects that larger gap with reality.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
The disclosure can be limited.
Detailed description of the invention
Fig. 1 is shown can be using the method for the determination firm location of the embodiment of the present invention or the device of determining firm location
Exemplary system architecture schematic diagram；
Fig. 2 diagrammatically illustrates the flow chart of the method for the determination firm location according to the embodiment of the present disclosure；
Fig. 3 diagrammatically illustrates the flow chart of the method for the determination firm location according to the disclosure another embodiment；
Fig. 4 diagrammatically illustrates the flow chart of the method for the determination firm location according to the disclosure another embodiment；
Fig. 5 diagrammatically illustrates the block diagram of the device of the determination firm location according to the embodiment of the present disclosure；
Fig. 6 diagrammatically illustrates the block diagram of the device of the determination firm location according to the disclosure another embodiment；
Fig. 7 diagrammatically illustrates the block diagram of the device of the determination firm location according to the disclosure another embodiment；
Fig. 8 diagrammatically illustrates the block diagram of the computer system of the electronic equipment according to the embodiment of the present disclosure.
Specific embodiment
Hereinafter, will be described with reference to the accompanying drawings embodiment of the disclosure.However, it should be understood that these descriptions are only exemplary
, and it is not intended to limit the scope of the present disclosure.In addition, in the following description, descriptions of well-known structures and technologies are omitted, with
Avoid unnecessarily obscuring the concept of the disclosure.
Term as used herein is not intended to limit the disclosure just for the sake of description specific embodiment.It uses herein
The terms "include", "comprise" etc. show the presence of the feature, step, operation and/or component, but it is not excluded that in the presence of
Or add other one or more features, step, operation or component.
There are all terms (including technical and scientific term) as used herein those skilled in the art to be generally understood
Meaning, unless otherwise defined.It should be noted that term used herein should be interpreted that with consistent with the context of this specification
Meaning, without that should be explained with idealization or excessively mechanical mode.
It, in general should be according to this using statement as " at least one in A, B and C etc. " is similar to
Field technical staff is generally understood the meaning of the statement to make an explanation (for example, " system at least one in A, B and C "
Should include but is not limited to individually with A, individually with B, individually with C, with A and B, with A and C, have B and C, and/or
System etc. with A, B, C).It should also be understood by those skilled in the art that substantially arbitrarily indicating two or more optional projects
Adversative conjunction and/or phrase, either in specification, claims or attached drawing, shall be construed as giving including
A possibility that either one or two projects of one of these projects, these projects.For example, phrase " A or B " should be understood as wrapping
A possibility that including " A " or " B " or " A and B ".
Fig. 1 is shown can be using the method for the determination firm location of the embodiment of the present invention or the device of determining firm location
Exemplary system architecture schematic diagram.
As shown in Figure 1, system architecture 100 may include one of terminal device 101,102,103 or a variety of, network
104 and server 105.Network 104 between terminal device 101,102,103 and server 105 to provide communication link
Medium.Network 104 may include various connection types, such as wired, wireless communication link or fiber optic cables etc..
It should be understood that the number of terminal device, network and server in Fig. 1 is only schematical.According to realization need
It wants, can have any number of terminal device, network and server.For example server 105 can be multiple server compositions
Server cluster etc..
User can be used terminal device 101,102,103 and be interacted by network 104 with server 105, to receive or send out
Send message etc..Terminal device 101,102,103 can be the various electronic equipments with display screen, including but not limited to intelligent hand
Machine, tablet computer, portable computer and desktop computer etc..
Server 105 can be to provide the server of various services.Such as server 105 can from terminal device 103 (
Can be terminal device 101 or 102) in obtain the plot data of at least two data sources, and according to default index from least two
The plot characteristic at least two data sources of default correlation of indices is determined in the plot data of a data source, based on extremely
The plot characteristic of few two data sources generates plot addressing scoring model, then using plot addressing scoring model to each
The default index in plot is given a mark, so that enterprise carries out addressing according to the score of the default index in each plot, with this side
The firm location result that formula obtains is more accurate, efficiently solves in the related technology because data source is single, so that firm location
Result have the defects that larger gap with reality.
Data source described above is the supplier of plot characteristic, can be the enterprise or similar enterprise for carrying out addressing
Industry is also possible to inhomogeneity enterprise, unit or government department, such as business chain upstream and downstream firms, association, administrative department etc.
Deng the present invention is not limited thereto.
In some embodiments, determine the method for firm location generally by server 105 provided by the embodiment of the present invention
It executes, correspondingly, determines that the device of firm location is generally positioned in server 105.In further embodiments, certain terminals
Function similar with server be can have thereby executing this method.Therefore, enterprise's choosing is determined provided by the embodiment of the present invention
The method of location is not limited to server end execution.
Fig. 2 diagrammatically illustrates the flow chart of the method for the determination firm location according to the embodiment of the present disclosure.
As shown in Fig. 2, the method for determining firm location includes step S110~step S140.
In step s 110, the plot data of at least two data sources are obtained, the plot data include the business of enterprise
Data, each plot include based on same standard to a resulting plot of region division.
In the step s 120, determined from the plot data of at least two data source according to default index with it is described
The plot characteristic of at least two data sources of default correlation of indices, the default index include the plot for a region
The index of setting.
In step s 130, the plot characteristic based at least two data source generates plot addressing marking mould
Type.
In step S140, given a mark using default index of the plot addressing scoring model to each plot, with
So that enterprise carries out addressing according to the score of the default index in each plot.
The plot data of available at least two data source of this method, and according to default index from least two data sources
Plot data in determine plot characteristic at least two data sources of default correlation of indices, based at least two numbers
Plot addressing scoring model is generated according to the plot characteristic in source, then using plot addressing scoring model to the pre- of each plot
If index is given a mark, so that enterprise carries out addressing according to the score of the default index in each plot, obtain by this method
Firm location result is more accurate, efficiently solves in the related technology because data source is single, so that the result of firm location is same
Reality haves the defects that larger gap.
In some embodiments of the present disclosure, the plot data of at least two data sources may include the ground of two data sources
The plot data of block number evidence or more than two data sources.Such as.If the plot data of at least two data sources include two
The plot data of a data source, then the plot data of two data sources can be the plot data and the second number of the first data source
According to the plot data in source.And so on, if the plot data of at least two data sources include the plot data of three data sources,
The plot data of so three data sources can be the plot data of the first data source, plot data, the third of the second data source
The plot data of data source.
In some embodiments of the present disclosure, each plot include based on same standard to a region division resultingly
Block.For example, Beijing is divided into several plot by 2km x 2km, and each plot is numbered, is convenient for area in this way
Point.In the present embodiment, for available two data sources in each plot or more than two data sources in the plot
Plot data.For example, obtaining enterprise A and enterprise B in the plot data in the plot that number is 0001.Wherein, enterprise A is 0001
The plot data of block can be business relevant to enterprise's A business.Plot data of the enterprise B in 0001 plot can be and enterprise
The relevant business of B business.
In some embodiments of the present disclosure, above-mentioned default index may include following any one or more: plot
The density of population, the traffic level in plot, the level of consumption in plot.It should be noted that above-mentioned default index is also possible to other
, it can be specifically configured according to the business of enterprise.
In some embodiments of the present disclosure, determined from the plot data of described two data sources according to default index
With the plot characteristic of at least two data sources of default correlation of indices.For example, default index is the level of consumption in plot, root
According to this preset index determined from the plot data of two data sources relevant to the level of consumption in plot data (for example,
Enterprise A the plot day income, monthly income etc., enterprise B records the daily inflow population in the plot, daily Floating population
Number etc.).
Below by taking the plot characteristic of two data sources as an example.Specifically, the first data source is certain chain food and beverage enterprise,
Second data source is certain communications service provider.The plot characteristic of the plot characteristic of first data source and the second data source is such as
Shown in following table:
Block feature data are described over the ground by taking the characteristic in No. 1 plot as an example below, as shown above, certain chain meal
Characteristic of the drink enterprise in No. 1 plot, which can be, has opened up a shop, shop month 5000 people of the volume of the flow of passengers, shop monthly income 10
Ten thousand, shop month cost 80,000.Characteristic of certain communications service provider in No. 1 plot can be daily inflow population 20,000, daily to flow
Population 1.5 ten thousand out, working population's number 100,000 in the plot, resident population's number 80,000 in the plot.The characteristic in other plot exists
This is not listed one by one.
In some embodiments of the present disclosure, the plot characteristic based at least two data sources generates plot addressing and beats
Sub-model includes: to be instructed in longitudinal federal study frame using plot characteristic of the AI model at least two data sources
Practice, obtain plot addressing scoring model, can be efficiently solved so how when each business tie-up carries out shops's addressing, in original
In the case that beginning data do not export directly, joint modeling is carried out using the plot characteristic of each data source, thus finally to pressing
The each plot in city after same standard divides is given a mark, and obtained model result can be than site selecting method in the related technology
It is more accurate, to show which plot is appropriate for shops's addressing.
In some embodiments of the present disclosure, AI Modifying model and/addedly block number according to when, AI model can be traditional
Random forest, logistic regression, linear regression, method for improving are also possible to the models such as deep learning (DNN).In addition, above-mentioned plot
It can also include index computation model in addressing scoring model, index computation model gives a mark to the default index in each plot
When, index computation model can be traditional random forest, logistic regression, linear regression, method for improving, be also possible to depth
Practise models such as (DNN).
In some embodiments of the present disclosure, when the quantity of default index is multiple, plot addressing scoring model is utilized
Carrying out marking to the default index in each plot includes: multiple default indexes using plot addressing scoring model to each plot
It gives a mark respectively, obtains multiple scores corresponding with multiple default indexes in each plot.For example, the quantity of default index
It is 3, i.e. the density of population in plot, the traffic level in plot, the level of consumption in plot can be right using plot addressing scoring model
" density of population, traffic level, the level of consumption " in each plot is given a mark respectively, can be every with comprehensive consideration in firm location
The score of a default index carries out shops's addressing, and the result obtained in this way is more accurate.
Fig. 3 diagrammatically illustrates the flow chart of the method for the determination firm location according to the disclosure another embodiment.
As shown in figure 3, above-mentioned steps S110, step S120, step S210 and step S220.
In step s 110, the plot data of at least two data sources are obtained, the plot data include the business of enterprise
Data, each plot include based on same standard to a resulting plot of region division.
In the step s 120, determined from the plot data of at least two data source according to default index with it is described
The plot characteristic of at least two data sources of default correlation of indices, the default index include the plot for a region
The index of setting.
In step s 130, the plot characteristic based at least two data source generates plot addressing marking mould
Type.
In step S210, when the quantity of default index is multiple, using the plot addressing scoring model to each
Multiple default indexes in plot are given a mark respectively, obtain multiple scores corresponding with multiple default indexes in each plot.
In step S220, multiple scores corresponding with multiple default indexes in each plot are weighted, are obtained
The comprehensive score in each plot.
In the method, when the quantity of default index is multiple, using plot addressing scoring model to each plot
Multiple default indexes are given a mark respectively, obtain multiple scores corresponding with multiple default indexes in each plot, to it is every
The corresponding multiple scores of multiple default indexes in a plot are weighted, and are obtained the comprehensive score in each plot, are convenient in this way
Enterprise can judge which plot can be used as the place of firm location, promote firm location according to final comprehensive score
Efficiency.
In some embodiments of the present disclosure, multiple scores corresponding with multiple default indexes in each plot are carried out
Weighting, obtains the comprehensive score in each plot.For example, assigning the method meter of weight by multiple scores to multiple default indexes
Calculate the comprehensive score in each plot.Wherein, the weight for assigning the score of default index can be through plot addressing scoring model
Gained is calculated, is also possible to be preset according to enterprise requirements.
In some embodiments of the present disclosure, it can be calculated in a region eachly using plot addressing scoring model
The composite score of block, and it is ranked up, then the composite score before extracting TOP3 in ranking results is selected as enterprise
The result of location for enterprise refer to, in this way be not necessarily to enterprise the comprehensive score in each plot is considered, and need to only consider TOP3 it
Preceding composite score further promotes the efficiency of firm location.
Fig. 4 diagrammatically illustrates the flow chart of the method for the determination firm location according to the disclosure another embodiment.
As shown in figure 4, when the plot characteristic of at least two data sources includes the plot characteristic of the first data source
When with the plot characteristic of the second data source, instructed using plot characteristic of the AI model at least two data sources
Practice, obtaining plot addressing scoring model can specifically include step S310 and step S320.
In step s310, using the plot characteristic of first data source to the plot characteristic of the second data source
Be modified and/or supplement, alternatively, using second data source plot characteristic to the plot data of the first data source into
Row amendment and/or supplement.
In step s 320, plot characteristic or the second data source based on the first data source after amendment and/or supplement
Plot characteristic generate the plot addressing scoring model.
This method can use the plot characteristic of first data source to the plot characteristic of the second data source into
Row amendment and/or supplement, alternatively, the plot characteristic using second data source carries out the plot data of the first data source
The plot of amendment and/or supplement, plot characteristic or the second data source based on the first data source after amendment and/or supplement is special
It levies data and generates plot addressing scoring model, the plot addressing scoring model performance obtained by this method is good, that is, the marking exported
As a result more accurate.
In some embodiments of the present disclosure, using the plot characteristic of first data source to the ground of the second data source
Block feature data are modified and/or supplement.For example, second enterprise possesses the plot characteristic of a certain classification, but count
According to not accurate enough, need to carry out the ground block feature to the second data source in conjunction with data characteristics of first enterprise under identical plot at this time
Data are modified and/or supplement, and can make the plot characteristic corrected and/or supplemented more accurate in this way.
In some embodiments of the present disclosure, using the plot characteristic of second data source to the ground of the first data source
Block feature data are modified and/or supplement.For example, first enterprise possesses the plot characteristic of a certain classification, but count
According to not accurate enough, need to carry out the ground block feature to the second data source in conjunction with data characteristics of second enterprise under identical plot at this time
Data are modified and/or supplement, and can make the plot characteristic corrected and/or supplemented more accurate in this way.
In some embodiments of the present disclosure, the plot characteristic of the first data source and the ground block feature of the second data source
Data are the characteristics in the same plot, and the purpose being arranged in this way is more targeted in amendment and/or supplementary data.
Fig. 5 diagrammatically illustrates the block diagram of the device of the determination firm location according to the embodiment of the present disclosure.
As shown in figure 5, determining that the device 500 of firm location includes obtaining module 510, determining module 520, generation module
530 and scoring modules 540.
Specifically, module 510 is obtained, for obtaining the plot data of at least two data sources, the plot data include
The business datum of enterprise, each plot include based on same standard to a resulting plot of region division.
Determining module 520, for according to preset index determined from the plot data of at least two data source with
The plot characteristic of at least two data sources of the default correlation of indices, the default index include for a region
The index of plot setting.
Generation module 530, the plot characteristic based at least two data source generate plot addressing scoring model.
Scoring modules 540 are given a mark using default index of the plot addressing scoring model to each plot, so that
It obtains enterprise and addressing is carried out according to the score of the default index in each plot.
The plot data of available at least two data source of device 500 of the confirmation firm location, and according to default finger
Number determines the ground block feature at least two data sources of default correlation of indices from the plot data of at least two data sources
Data, the plot characteristic based at least two data sources generate plot addressing scoring model, are then beaten using plot addressing
Sub-model gives a mark to the default index in each plot, so that enterprise carries out according to the score of the default index in each plot
Addressing, the firm location result obtained by this method is more accurate, efficiently solves in the related technology because data source is single, makes
The result for obtaining firm location haves the defects that larger gap with reality.
In accordance with an embodiment of the present disclosure, the confirmation that the device 500 of the confirmation firm location describes for realizing Fig. 2 embodiment
The method of firm location.
Fig. 6 diagrammatically illustrates the block diagram of the device of the determination firm location according to the disclosure another embodiment.
As shown in fig. 6, in addition to the acquisition module 510 of Fig. 5 embodiment description, determining module 520, generation module 530 and beating
Except sub-module 540, confirm that the device 600 of firm location further includes weighting block 610.
Specifically, it for being weighted to multiple scores corresponding with multiple default indexes in each plot, obtains every
The comprehensive score in a plot.
In the device 600 of the confirmation firm location, when the quantity of default index is multiple, given a mark using plot addressing
Model gives a mark respectively to multiple default indexes in each plot, obtains corresponding with multiple default indexes in each plot
Multiple scores are weighted multiple scores corresponding with multiple default indexes in each plot, obtain the comprehensive of each plot
Score is closed, can judge which plot can be used as the ground of firm location according to final comprehensive score in this way convenient for enterprise
Point promotes the efficiency of firm location.
In accordance with an embodiment of the present disclosure, the confirmation that the device 600 of the confirmation firm location describes for realizing Fig. 3 embodiment
The method of firm location.
Fig. 7 diagrammatically illustrates the block diagram of the device of the determination firm location according to the disclosure another embodiment.
As shown in fig. 7, above-mentioned generation module 530 includes amendment complementary module 531 and generation submodule.
Specifically, complementary module 531 is corrected, using the plot characteristic of first data source to the ground of the second data source
Block feature data are modified and/or supplement, alternatively, using the plot characteristic of second data source to the first data source
Plot data are modified and/or supplement.
Generate submodule 532, plot characteristic or the second data source based on the first data source after amendment and/or supplement
Plot characteristic generate the plot addressing scoring model.
The generation module 530 can use the ground block feature of the plot characteristic to the second data source of first data source
Data are modified and/or supplement, alternatively, using the plot characteristic of second data source to the ground block number of the first data source
According to being modified and/or supplementing, plot characteristic or the second data source based on the first data source after amendment and/or supplement
Plot characteristic generates plot addressing scoring model, and the plot addressing scoring model performance obtained by this method is good, that is, exports
Marking result it is more accurate.
In accordance with an embodiment of the present disclosure, the confirmation firm location which describes for realizing Fig. 4 embodiment
Method.
It is understood that obtaining module 510, determining module 520, generation module 530, amendment complementary module 531, generating
Submodule 532, scoring modules 540 and weighting block 610, which may be incorporated in a module, to be realized or therein any
One module can be split into multiple modules.Alternatively, at least partly function of one or more modules in these modules can
It is combined at least partly function with other modules, and is realized in a module.According to an embodiment of the invention, obtaining mould
Block 510, determining module 520, generation module 530, amendment complementary module 531, generate submodule 532, scoring modules 540 and
At least one of weighting block 610 can at least be implemented partly as hardware circuit, such as field programmable gate array
(FPGA), programmable logic array (PLA), system on chip, the system on substrate, the system in encapsulation, specific integrated circuit
(ASIC), it or can be realized with carrying out the hardware such as any other rational method that is integrated or encapsulating or firmware to circuit, or
It is realized with software, the appropriately combined of hardware and firmware three kinds of implementations.Alternatively, obtain module 510, determining module 520,
Generation module 530, generates in submodule 532, scoring modules 540 and weighting block 610 at least amendment complementary module 531
One can at least be implemented partly as computer program module, when the program is run by computer, can execute corresponding
The function of module.
Fig. 8 diagrammatically illustrates the block diagram of the computer system of the electronic equipment according to the embodiment of the present disclosure.Fig. 8 is shown
Computer system be only an example, should not function to the embodiment of the present disclosure and use scope bring any restrictions.
As shown in figure 8, include processor 701 according to the computer system 700 of the electronic equipment of the embodiment of the present disclosure, it can
To be loaded into random access storage device according to the program being stored in read-only memory (ROM) 702 or from storage section 708
(RAM) program in 703 and execute various movements appropriate and processing.Processor 701 for example may include general purpose microprocessor
(such as CPU), instruction set processor and/or related chip group and/or special microprocessor are (for example, specific integrated circuit
(ASIC)), etc..Processor 701 can also include the onboard storage device for caching purposes.Processor 701 may include using
In the different movements for executing the method flow according to the embodiment of the present disclosure with reference to Fig. 2~Fig. 4 description single treatment units or
Person is multiple processing units.
In RAM 703, it is stored with system 700 and operates required various programs and data.Processor 701, ROM 702 with
And RAM 703 is connected with each other by bus 704.Processor 701 is held by executing the program in ROM 702 and/or RAM 703
Various steps of the row above with reference to the method for Fig. 2~Fig. 4 determination firm location described.It is noted that the program can also deposit
Storage is in one or more memories in addition to ROM 702 and RAM703.Processor 701 can also be stored in this by executing
Program in one or more memories executes the various of the method above with reference to Fig. 2~Fig. 4 determination firm location described
Step.
In accordance with an embodiment of the present disclosure, system 700 can also include input/output (I/O) interface 707, input/output
(I/O) interface 707 is also connected to bus 704.System 700 can also include be connected to I/O interface 705 with one in lower component
Item is multinomial: the importation 706 including keyboard, mouse etc.；Including such as cathode-ray tube (CRT), liquid crystal display (LCD)
Deng and loudspeaker etc. output par, c 707；Storage section 708 including hard disk etc.；And including such as LAN card, modulatedemodulate
Adjust the communications portion 709 of the network interface card of device etc..Communications portion 709 executes communication process via the network of such as internet.
Driver 710 is also connected to I/O interface 705 as needed.Detachable media 711, such as disk, CD, magneto-optic disk, semiconductor
Memory etc. is mounted on as needed on driver 710, in order to be pacified as needed from the computer program read thereon
It is packed into storage section 708.
In accordance with an embodiment of the present disclosure, it may be implemented as computer software journey above with reference to the method for flow chart description
Sequence.For example, embodiment of the disclosure includes a kind of computer program product comprising carry meter on a computer-readable medium
Calculation machine program, the computer program include the program code for method shown in execution flow chart.In such embodiments,
The computer program can be downloaded and installed from network by communications portion 709, and/or be pacified from detachable media 711
Dress.When the computer program is executed by processor 701, the above-mentioned function of limiting in the system of the embodiment of the present disclosure is executed.Root
According to embodiment of the disclosure, system as described above, unit, module, unit etc. can by computer program module come
It realizes.
It should be noted that computer-readable medium shown in the disclosure can be computer-readable signal media or meter
Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not
Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter
The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires
Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage
Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device,
Or above-mentioned any appropriate combination.In the disclosure, computer readable storage medium can be it is any include or storage journey
The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this
In open, computer-readable signal media may include in a base band or as the data-signal that carrier wave a part is propagated,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium
Program code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentioned
Any appropriate combination.In accordance with an embodiment of the present disclosure, computer-readable medium may include above-described ROM 702
And/or one or more memories other than RAM 703 and/or ROM 702 and RAM 703.
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the disclosure, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of above-mentioned module, program segment or code include one or more
Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box
The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical
On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants
It is noted that the combination of each box in block diagram or flow chart and the box in block diagram or flow chart, can use and execute rule
The dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instruction
It closes to realize.
As on the other hand, the disclosure additionally provides a kind of computer-readable medium, which can be
Included in equipment described in above-described embodiment；It is also possible to individualism, and without in the supplying equipment.Above-mentioned calculating
Machine readable medium carries one or more program, when said one or multiple programs are executed by the equipment, makes
The method for obtaining the determination firm location that the equipment is executed according to the embodiment of the present disclosure.This method comprises: obtaining at least two data
The plot data in source, the plot data include the business datum of enterprise, and each plot includes based on same standard to an area
Domain divides resulting plot；It is determined to preset with described from the plot data of at least two data source according to default index
The plot characteristic of at least two data sources of correlation of indices, the default index include the plot setting for a region
Index；Plot characteristic based at least two data source generates plot addressing scoring model；Utilize the plot
Addressing scoring model gives a mark to the default index in each plot, so that point of the enterprise according to the default index in each plot
Number carries out addressing.
Embodiment of the disclosure is described above.But the purpose that these embodiments are merely to illustrate that, and
It is not intended to limit the scope of the present disclosure.Although respectively describing each embodiment above, but it is not intended that each reality
Use cannot be advantageously combined by applying the measure in example.The scope of the present disclosure is defined by the appended claims and the equivalents thereof.It does not take off
From the scope of the present disclosure, those skilled in the art can make a variety of alternatives and modifications, these alternatives and modifications should all fall in this
Within scope of disclosure.
Claims (10)
1. a kind of method of determining firm location, comprising:
The plot data of at least two data sources are obtained, the plot data include the business datum of enterprise, and each plot includes
Based on same standard to a resulting plot of region division；
Determined from the plot data of at least two data source according to default index with the default correlation of indices to
The plot characteristic of few two data sources, the default index include the index for the plot setting in a region；
Plot characteristic based at least two data source generates plot addressing scoring model；
It is given a mark using default index of the plot addressing scoring model to each plot, so that enterprise is according to eachly
The score of the default index of block carries out addressing.
2. according to the method described in claim 1, wherein, the default index includes following any one or more: plot
The density of population, the traffic level in plot, the level of consumption in plot.
3. according to the method described in claim 1, wherein, when the quantity of default index is multiple, utilizing the plot addressing
Scoring model carries out marking to the default index in each plot
It is given a mark, is obtained with each respectively using multiple default indexes of the plot addressing scoring model to each plot
The corresponding multiple scores of multiple default indexes of block.
4. according to the method described in claim 3, wherein, using the plot addressing scoring model to the multiple of each plot
After default index is given a mark respectively, this method comprises:
Multiple scores corresponding with multiple default indexes in each plot are weighted, the comprehensive of each plot is obtained
Point.
5. according to the method described in claim 1, wherein, the plot characteristic based at least two data source generates ground
Block addressing scoring model includes:
In longitudinal federal study frame, it is trained using plot characteristic of the AI model at least two data source,
Obtain the plot addressing scoring model.
6. according to the method described in claim 5, wherein, when the plot characteristic of at least two data source includes first
When the plot characteristic of the plot characteristic of data source and the second data source, using AI model at least two data
The plot characteristic in source is trained, and is obtained the plot addressing scoring model and is included:
The plot characteristic of the second data source is modified and/or is mended using the plot characteristic of first data source
It fills, alternatively, the plot characteristic using second data source is modified and/or mends to the plot data of the first data source
It fills；
The plot characteristic of plot characteristic or the second data source based on the first data source after amendment and/or supplement generates
The plot addressing scoring model.
7. according to the method described in claim 6, wherein, the plot characteristic of the first data source and the plot of the second data source
Characteristic is the characteristic in the same plot.
8. a kind of device of determining firm location, comprising:
Module is obtained, for obtaining the plot data of at least two data sources, the plot data include the business datum of enterprise,
Each plot includes based on same standard to a resulting plot of region division；
Determining module, for determining to preset with described from the plot data of at least two data source according to default index
The plot characteristic of at least two data sources of correlation of indices, the default index include the plot setting for a region
Index；
Generation module, the plot characteristic based at least two data source generate plot addressing scoring model；
Scoring modules are given a mark using default index of the plot addressing scoring model to each plot, so that enterprise
Addressing is carried out according to the score of the default index in each plot.
9. a kind of electronic equipment, comprising:
One or more processors；And
Storage device, for storing one or more programs；
Wherein, when one or more of programs are executed by one or more of processors, so that one or more of
The method that processor executes determination firm location described in any one according to claim 1~7.
10. a kind of computer-readable medium, is stored thereon with executable instruction, which hold processor when being executed by processor
The method of determination firm location described in capable any one according to claim 1~7.
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| CN201910361525.0A CN110110859A (en) | 2019-04-30 | 2019-04-30 | Determine method, apparatus, electronic equipment and the medium of firm location |
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| CN111882185A (en) * | 2020-07-15 | 2020-11-03 | 上海丙晟科技有限公司 | Shopping center site selection device and method based on big data and expert experience |
| CN112308594A (en) * | 2019-09-29 | 2021-02-02 | 北京京东尚科信息技术有限公司 | Address selection system, method, electronic device and storage medium |
| CN113052393A (en) * | 2021-04-09 | 2021-06-29 | 新奥数能科技有限公司 | Enterprise site selection method and device |
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| CN112308594A (en) * | 2019-09-29 | 2021-02-02 | 北京京东尚科信息技术有限公司 | Address selection system, method, electronic device and storage medium |
| CN111882185A (en) * | 2020-07-15 | 2020-11-03 | 上海丙晟科技有限公司 | Shopping center site selection device and method based on big data and expert experience |
| CN113052393A (en) * | 2021-04-09 | 2021-06-29 | 新奥数能科技有限公司 | Enterprise site selection method and device |
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Application publication date: 20190809 |