CN104636482B - Method and apparatus for determining destination address - Google Patents
Method and apparatus for determining destination address Download PDFInfo
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- CN104636482B CN104636482B CN201510084840.5A CN201510084840A CN104636482B CN 104636482 B CN104636482 B CN 104636482B CN 201510084840 A CN201510084840 A CN 201510084840A CN 104636482 B CN104636482 B CN 104636482B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0204—Market segmentation
- G06Q30/0205—Location or geographical consideration
Abstract
This application discloses a kind of method and apparatus for determining destination address.One specific embodiment of the method includes: that the information of instruction candidate region and destination address type is received from terminal；Related information in geographical position range based on candidate region, establishes the analysis data of corresponding candidate region, and the related information includes at least user's location information in the geographical position range of the candidate region；Based on analysis data and destination address type, determine whether candidate region is destination address.The embodiment can expand the dimension for determining the information of destination address, promote the accuracy and reliability of destination address selection.
Description
Technical field
This application involves field of computer technology, and in particular to electric Digital data processing technical field, more particularly, to
The method and apparatus for determining destination address.
Background technique
Addressing, which refers to the process of, carries out demonstration and decision to address before building or investment.The determination of destination address with to
The geographical location of favored area, surrounding enviroment, inhabitant's consumption level and consumption habit are closely related.Existing addressing is artificial mostly
Behavior, by manually carrying out decision to destination address according to data such as the periphery volume of the flow of passengers for the setting area being collected into, the levels of consumption,
When the information acquired in the policymaker is not comprehensive or policymaker's experience deficiency, it will the accuracy of addressing is significantly influenced, therefore,
It needs to provide accurate, reliable destination address and determines method.
Summary of the invention
To solve drawbacks described above, this application provides the method and apparatus for determining destination address.
In a first aspect, this application provides a kind of methods for determining destination address.The described method includes: being connect from terminal
Receive the information of instruction candidate region and destination address type；Related information in geographical position range based on candidate region, builds
The analysis data of vertical corresponding candidate region, wherein it is fixed to include at least the user in the geographical position range of candidate region for related information
Position information；Based on analysis data and destination address type, determine whether candidate region is destination address.
Second aspect, this application provides a kind of for determining the device of destination address.Described device includes: instruction information
Receiving unit is configured to receive the information of instruction candidate region and destination address type from terminal；Data establish unit, configuration
For the related information in the geographical position range based on candidate region, the analysis data of corresponding candidate region are established, wherein closing
Join information including at least user's location information in the geographical position range of candidate region；Destination address determination unit, configuration are used
In based on analysis data and destination address type, determine whether candidate region is destination address.
Method and apparatus provided by the present application for determining destination address, by from terminal receive instruction candidate region and
The information of destination address type, then the related information in the geographical position range based on candidate region establishes corresponding candidate region
Analysis data determine whether candidate region is destination address, can be expanded finally based on analysis data and destination address type
For determining the dimension of the information of destination address, the accuracy and reliability of destination address selection is promoted.
Detailed description of the invention
By reading a detailed description of non-restrictive embodiments in the light of the attached drawings below, the application's is other
Feature, objects and advantages will become more apparent upon:
Fig. 1 shows a kind of flow chart of exemplary realization of method of the application for determining destination address；
Fig. 2 shows the flow charts that the application establishes a kind of exemplary realization of the analysis data of corresponding candidate region；
Fig. 3 shows the effect diagram of the grid division on map；
Fig. 4 shows the flow chart for determining a kind of exemplary realization of mark of the grid intersected with candidate region；
Fig. 5 a shows the effect diagram of grid set relevant to candidate region when candidate region is rectangle；
The effect diagram of relevant to candidate region grid set when Figure 5b shows that candidate region being irregular shape；
Fig. 6 shows a kind of exemplary realization for the analysis data established in geographical position range corresponding to grid set
Flow chart；
Fig. 7 shows the flow chart that a kind of exemplary realization of analysis data is established for each grid；
Fig. 8 shows the effect for being presented the analysis data in grid and the corresponding geographical position range of grid in association
Schematic diagram；And
Fig. 9 shows a kind of structure chart of exemplary realization of device of the application for determining destination address.
Specific embodiment
The application is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining related invention, rather than the restriction to the invention.It also should be noted that in order to
Convenient for description, part relevant to related invention is illustrated only in attached drawing.
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.The application is described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.
Referring to FIG. 1, being used to determine a kind of process of exemplary realization of the method for destination address it illustrates the application
Figure 100.The present embodiment is mainly applied to come in the server with big data processing capacity for example, can manage in this way
Solution, the server are the server of broad sense, can be a server, are also possible to server cluster or shareable data
Server farm.The method for determining destination address, comprising the following steps:
In step 110, the information of instruction candidate region and destination address type is received from terminal.
In the present embodiment, terminal can carry out data interaction between server.Terminal may include mobile terminal and
What fixed point was put acquires the terminal of simultaneously storing data.For example, terminal can be the smart phone comprising display screen, plate
Computer, smartwatch, or retail shop's recording and displaying user information in some geographical location terminal (such as record member
The host and display screen of information).
When determining destination address, user can select candidate region and mesh to be determined on the map that terminal is shown
The type of address is marked, such as user can enclose on the map that terminal is shown and select a range as candidate region.Terminal after
And the information for indicating candidate region and destination address type can be sent to server, wherein the information of instruction candidate region
In may include the selected candidate region of user and map scaling, then server can receive instruction candidate region
And the information of destination address type.Received mode may include being received by being wirelessly connected with wired connection.
Optionally, before receiving the information, server can also obtain the data interaction request of terminal, and to the data
Interaction request is authenticated, and above- mentioned information are just received when the authentication is passed.
Then, in the step 120, the related information in the geographical position range based on candidate region is established corresponding candidate
The analysis data in region.
It in the present embodiment, can be true after server receives the information for indicating candidate region and destination address type
The geographical position range for determining candidate region is obtained in the geographical position range by searching in the database that server saves
Related information.
Related information can be information associated with the determination of destination address in geographical position range, includes at least and waits
User's location information in the corresponding geographical position range of favored area.In some implementations, related information may include that dynamic is believed
Breath and static information.Wherein, multidate information may include the information of the movable user in the geographical position range, optionally,
User information may include the age of user, gender, constellation, hobby, address, occupation, assets, Long-term Interest, consuming frequency, disappear
Take type, average per capita consumption information.Static information may include geographical attribute information in geographical position range, such as geographical position
Set the information of traffic website in range, shop rent and sale information, various types of Locale informations etc..Server can be fixed according to user
Position information determines whether the user is in the corresponding geographical position range in candidate region, it can according to the position of user come
Whether the information for judging the user is related information in geographical position range.
In some optional implementations, server can report request in response to the related information of terminal, receive and close
Join information.In other implementations, server can obtain related information from other data storage centers (such as cloud).
The acquisition of related information can be to be collected or updated with a certain period of time, such as one day collects or updates once.
After related information in the geographical position range for getting candidate region, server can establish corresponding candidate
The analysis data in region.Specifically, server such as can classify to the related information of acquisition, be counted at the processing, to establish
The analysis data of corresponding candidate region.Wherein statistical disposition may include: to calculate total amount, calculate average value, Statistical Distribution
The processing such as (such as calculating distribution function), calculating mean square deviation.Correspondingly, analysis data may include classification information, it is average value, total
The data such as value, regularity of distribution data, mean square deviation, it can be the data at some time point, the number being also possible in a period of time
According to.For example, server can be based on the candidate region pair stored in database if related information is the assets information of user
The assets information of at least partly user in the geographical position range answered is averaged, to obtain user in the geographical position range
Assets average level data.In another example server can be to geography if related information is the consumption type information of user
The consumption type of at least partly user in position range carry out statistic of classification (such as by consumption be divided into food and drink, amusement, shopping,
The types such as service for life, calculate the number of users of every a kind of consumption, then obtain the every a kind of user consumed institute in total number of users
The ratio accounted for), using the result of statistic of classification as the analysis data of corresponding candidate region.
In some optional implementations, analysis data at least may include flow of the people or density of stream of people.Server pair
User's location information is for statistical analysis, so that it may the distribution statistics of user geographical location position is obtained, to obtain flow of the people
Or density of stream of people data.
Later, in step 130, based on analysis data and destination address type, determine whether candidate region is target
Location.
In the present embodiment, server can be according to the analysis data and above-mentioned instruction for the candidate region that step 120 obtains
Whether the destination address type in information is that destination address makes a policy to candidate region.For example, existing target can be based on
The information of the address of address style establishes the analysis data of existing address, and divides the characteristic of the analysis data of existing address
Analysis, judges whether the characteristic of the analysis data of candidate region is consistent with the characteristic of analysis data of existing address, so that it is determined that waiting
Whether favored area is destination address.
In some optional implementations, based on analysis data and destination address type, determine candidate region whether be
Destination address may include: to judge whether candidate region meets the predetermined condition of destination address type according to analysis data, with
Determine whether candidate region is destination address.In some implementations, predetermined condition can be set based on experience value by user, such as
It is set by the user flow of the people threshold value, average assets threshold value etc..In other realizations, predetermined condition can also be based on data with existing
Training result determine.It is alternatively possible to judge whether the candidate region meets the destination address using site selection model
The predetermined condition of type, the site selection model can be by believing from the place of the existing destination address type in map datum or businessman
Breath is obtained as sample data training.It is possible to further establish site selection model for example, by the methods of logistic regression.It is specific and
Speech can distribute weight using acquired analysis data as feature, after feature is normalized for each feature, it
It in feature input model, will judge whether candidate region is destination address afterwards.The model can be by other mesh existing on map
The information training in the place or Business Information of marking address style obtains.
It is appreciated that above-mentioned related information may include a plurality of types of related informations in the present embodiment, server is obtained
Analysis data also may include a plurality of types of analysis data obtained by the analysis to a plurality of types of related informations.Association letter
The type of breath is more, and server data volume to be dealt with is bigger, and the data volume of the analysis data obtained is bigger, then information is collected
Dimension it is wider, destination address determine accuracy it is higher.
The method provided by the above embodiment of the application is by receiving instruction candidate region and destination address type from terminal
Information, the then related information in the geographical position range based on candidate region establishes the analysis data of corresponding candidate region,
Finally based on analysis data and destination address type, determine whether candidate region is destination address, can effectively reduce manpower at
Originally, the dimension for determining the information of destination address is expanded, the accuracy and reliability of destination address selection is promoted.
For above-described embodiment of the application, the scene of application can be, as user it needs to be determined that when destination address, first
The type of candidate region and destination address is selected at the terminal, and server is receiving the candidate region and target class that user selectes
When the information of type instruction, the related information in the geographical position range of candidate region is analyzed, to obtain for judging to wait
Favored area whether be destination address analysis data, finally, server based on the type of the analysis data and destination address carry out
Judgement, determines whether candidate region is destination address.
For selecting Catering Pubs address on map, when user's setting map scaling is 1:104, select Beijing
When a certain region of city Haidian District is candidate region, it is specified that server can receive user from the terminals such as the mobile phone of user or computer
Candidate region and destination address type (food and drink) information, user's location information of candidate region, consumption water in map
Flat, customer consumption type, hobby, periphery traffic information (such as subway station, bus station's information), to the information such as the place of rent and sale into
Row analysis statistics, establishes the analysis data of the candidate site, such as calculates the flow of the people of candidate region, average per capita consumption, divides
Consumer spending habit, traffic convenience degree etc. are analysed, judges whether candidate region is to be suitble to out Catering Pubs based on these data
Address.Meet predetermined condition when analyzing data, such as the ratio that flow of the people accounts for overall consumption more than certain threshold value or food and drink consumption surpasses
When crossing certain threshold value, it can determine that candidate region is the address for being suitble to out Catering Pubs.
With further reference to Fig. 2, it illustrates a kind of exemplary realities that the application establishes the analysis data of corresponding candidate region
A kind of flow chart of exemplary realization of existing flow chart 200 namely above method step 120.The foundation corresponds to candidate region
Analysis data method process 200, comprising the following steps:
In step 210, the grid division on map.
In the present embodiment, map can be multilevel splitting by grade classification by server, in some implementations, can be incited somebody to action
Map partitioning is the certain multiple grids of side length, for example, respectively with 10 kms, 5 kms, 2 kms, 1 km, 500 meters, 200 meters with
And 100 meters are that side length constructs multilevel splitting on map, constructed grid can be rectangular shape.It is candidate receiving instruction
After the information of region and destination address type, server can be based on the map scaling and candidate for including in instruction information
Region determines the side length of grid that server to be divided.For example, larger in candidate region, map scaling is 1:105
When, corresponding grid can be constructed as side length on map using 1 km of actual range；And, map scaling smaller in candidate region
Ratio is 1:103When, corresponding grid can be constructed on map for side length with 200 meters of actual range.
Fig. 3 shows the effect diagram of the grid division on map.As shown in figure 3, left figure and right figure scaling are not
Together, the map in certain region is evenly divided into equal-sized multiple grids in two figures, the corresponding geographical location of each grid
Non-cross, when the variation of map scaling, the size and/or quantity of grid can also change therewith.
Fig. 2 is returned, in a step 220, determines grid set relevant to candidate region.
In the present embodiment, server can be based on position of the grid and candidate region divided in step 210 on map
It sets, determines grid set relevant to candidate region.
In an optional implementation manner, grid collection relevant to candidate region can be determined in the following manner
Close: determining the grid that intersects with candidate region, then these grids intersected with candidate region are identified, according to candidate
The mark of the grid of region intersection determines grid set relevant to candidate region.Intersect with candidate region and refers to that the grid is waited
All covering or part cover favored area.Server can be identified then determining and candidate regions to the grid of each rank
The grid of domain intersection, and record the mark of these grids.All grids intersected with candidate region constitute above-mentioned grid set,
Each grid is identified in a manner of numbering etc. in this set.
Later, in step 230, the analysis data in the corresponding geographical position range of grid set are established.
In the present embodiment, in the available above-mentioned grid set of server each grid analysis data, and to above-mentioned
The analysis data of all grids, which are done, in grid set summarizes, using the data summarized as the corresponding geographical position range of grid set
Interior analysis data, to establish the analysis data in the corresponding geographical position range in candidate region.
With further reference to Fig. 4, it illustrates the one kind for the mark for determining the grid intersected with the candidate region is exemplary
The flow chart 400 of realization.The method for the Marking the cell that the determination is intersected with candidate region may include:
In step 410, the boundary point coordinate of candidate region is obtained.
In general, candidate region can be continuous and closed region.In the present embodiment, server can be in map
On establish two-dimensional coordinate system, obtain the boundary of candidate region, and determine the coordinate of boundary point.
Then, at step 420, target gridding search range is determined according to the boundary point coordinate of candidate region.
In the present embodiment, target gridding can be the grid intersected in map grid with candidate region.Server can be with
The search range of target gridding is determined according to the boundary point coordinate obtained in step 410.It in some implementations, can will be with institute
Having the cross of boundary point, the minimum value of ordinate and maximum value is apex coordinate value, constructs a rectangle (minimum circumscribed rectangle)
Target gridding search range, to accelerate search speed.
Later, in step 430, the borderline grid of the candidate region in target gridding search range, judgement are traversed
Whether it is the candidate region grid that all covering or part cover.
Since candidate region is usually continuous and closed region, borderline net that can only to candidate region
Lattice are traversed.
In some embodiments, server can also traverse all grids in above-mentioned target gridding search range, judgement
Whether by candidate region, all covering or part cover grid, namely exclude those grids not intersected with candidate region.
Later, in step 440, if the borderline grid of candidate region is that all covering or part are covered for candidate region
The grid of lid, it is determined that current grid is the grid intersected with the candidate region, and records the mark of the grid.
When borderline grid is the candidate region grid that all covering or part cover when candidate region, this can be determined
Grid is the grid intersected with candidate region.
In some implementations, it when the shape that candidate region is rule, such as when rectangular area, can determine as follows and candidate
The Marking the cell of region intersection: the lower-left angular coordinate (x of rectangular area is calculated1,y1) and upper right angular coordinate (x2,y2), interval
For the side length of grid, then the Marking the cell at any point (x, y) can be obtained by following conversion formula within the scope of the rectangular area:
(grid x, grid y)=(x/interval, y/interval), wherein x1<x<x2,y1<y<y2, can also be directly by grid
Two dimension mark of the coordinate (x, y) of interior any point as the grid.
With further reference to Fig. 5 a, the effect of grid set relevant to candidate region when it illustrates candidate region being rectangle
Schematic diagram.As shown in Figure 5 a, map is divided into multiple equal-sized grids in figure, and the selected candidate region of user is void
The rectangular area 510 that line is surrounded.The coordinate that the boundary point of the rectangular area can be calculated first, marks the search of target gridding
Range, the i.e. grid of shadow region 520 in Fig. 5 a traverse the boundary of the candidate region in target gridding search range 520 later
On grid, judge these grids whether be candidate region all covering or part covering grids.In fig 5 a, target gridding
The borderline grid in candidate region is the grid of candidate region part covering in search range 520, it is determined that the target gridding
All grids in search range are all the grids intersected with candidate region.
With further reference to Fig. 5 b, grid set relevant to candidate region when it illustrates candidate region being irregular shape
Effect diagram.As shown in Figure 5 b, candidate region is dotted line area encompassed 530.The boundary point in the region is calculated first
Coordinate, mark the search range of target gridding, i.e. the grid of rectangular area 540 in Fig. 5 b, later, traversal target gridding search
The borderline grid of candidate region in range 540 judges whether these grids are that all covering or part are covered for candidate region
The grid of lid.If using in grid the coordinate of any point as grid mark, in figure 5b, target gridding search range
(x is identified as on the boundary of candidate region in 5403,y3) and (x4,y3) grid be the grid that all covers of candidate region, be identified as
(x2,y2)、(x2,y3)、(x2,y4)、(x2,y5)、(x2,y6)、(x3,y5)、(x3,y4)、(x4,y4)、(x5,y4)、(x5,y3)、(x4,
y2)、(x4,y2)、(x3,y2) grid be candidate region part covering grid, it is determined that target gridding search range Nei Yin
Grid in 550 range of shadow zone domain is the grid intersected with candidate region.
The method provided in above-described embodiment, which passes through, determines target gridding search range, then to target gridding search range
The interior borderline grid in candidate region is screened, and judges whether it belongs to the candidate region net that all covering or part cover
Lattice finally obtain the mark of the grid intersected with candidate region if not then removing it from target gridding search range.
The mark that server can be based further on these grids determines grid set relevant to candidate region, to be candidate region
Analysis data establish provide grid data.
It further, can be to portion when the borderline grid of candidate region is the grid of candidate region part covering
The analysis data in the corresponding geographical position range of grid of covering are divided to be weighted adjustment.Due to the boundary part of candidate region
Grid of the endless all standing where it, causing the analysis data for the candidate region established, there may be errors, such as analysis data
When for flow of the people, if the grid data directly by the endless all standing of the boundary part of candidate region returns to server, build
Vertical analysis data can generate error, and then influence the accuracy that destination address determines.In some implementations, candidate region is long-range
In sizing grid, this error can be ignored.When candidate region is smaller, to avoid error, candidate region side can be first calculated
Boundary part covering each grid area, show that the area accounts for the ratio of the grid gross area, using the ratio as weight because
Son, multiplied by the analysis data of grid as return value.In some cases, for example, when analysis data be average value, density data,
When distributed data, may not need weighting or weighted factor can be 1, i.e., will directly analyze data as return value.
With further reference to Fig. 6, it illustrates the application to establish the analysis in geographical position range corresponding to grid set
A kind of flow chart of exemplary realization of data namely a kind of exemplary implementation process 600 of step 230.As shown in fig. 6, building
Analysis data in geographical position range corresponding to vertical grid set may include:
In step 610, analysis data are established for each of grid set grid；
In the present embodiment, grid and analysis data correlation can be established the analysis data of each grid by server.?
In some realizations, server can determine the grid position of the user based on user's location information of acquisition, and will be based on the use
It is associated with the grid determined that the other information at family statisticallys analyze resulting analysis data.Wherein, analysis data may include point
The data such as category information, average value, total value, regularity of distribution data, mean square deviation, it can be the data at some time point, can also be with
It is the data in a period of time.
Server in step 610 by grid with analysis data it is associated, in some implementations, each grid can with it is more
A analysis data are associated, can be obtained by different statistical analysis techniques from the associated analysis data of different grids, can also
Think different types.
Then, in step 620, based on the analysis data of each grid, the relevant grid set institute in candidate region is generated
Analysis data in corresponding geographical position range.
The analysis data of all grids summarize in server pair grid set relevant to candidate region, then can give birth to
At the analysis data in geographical position range corresponding to the relevant grid set in candidate region.
It is a kind of exemplary realization that each grid establishes analysis data it illustrates the application with further reference to Fig. 7
Flow chart, namely show one kind of step 610 and exemplary realize to obtain process 700.As shown in fig. 7, described is each net
Lattice establish analysis data
In step 720, it is based on user's location information, determines the data point in the corresponding geographical position range of grid.
It, can be fixed according to user after server obtains user's location information in the corresponding geographical position range in candidate region
Position information determines the geographical location of user, and searches or calculate grid corresponding to the geographical location, determines that the user is this
One data point of the corresponding geographical position range of grid.Above-mentioned processing is carried out to the location information of the user of big data quantity, it can
To obtain multiple data points in the corresponding geographical position range of each grid.
Then, in step 720, for statistical analysis to the related information of data point to analyze data to establish.
It, can be for number every in grid after obtaining multiple data points in the corresponding geographical position range of each grid
The corresponding related information at strong point (such as user) analyzes and counts, and carries out the calculating such as sum, by the knot of statistical analysis
Analysis data of the fruit as the grid.
In some embodiments, analysis data can also be established for each grid in the following way: is primarily based on use
Family location information determines grid corresponding to the geographical location of user, then to geographical position range corresponding to same mesh
Interior related information is counted, then the analysis data of the available grid.Below to establish flow of the people for each grid
Data instance, illustrating server in this way is that each grid establishes the process for analyzing data.Firstly, server
The coordinate (x, y) of user can be obtained by terminal (such as the positioning log for passing through mobile phone), then coordinates computed (x, y) institute is right
The Marking the cell (grid x, grid y) answered counts the use with same mesh mark in same time point or same period
Amount amount, it can obtain the flow of the people data of multiple grids.
In a further embodiment, the method for determining destination address provided by the present application can also include: to send out to terminal
Send the analysis data in the corresponding geographical position range of the grid set so that the terminal is by the grid and the analysis
Data are presented in association.For example, server can to terminal send will be in grid geographical position range corresponding with grid
Flow of the people and grid are presented on map in association after terminal receives instruction information, will analyze number by flow of the people data
User is showed according to intuitive.In some implementations, the mode of presentation may include rendering.Specifically, according to the big of flow of the people
It is small, different colors can be rendered.Such as the color that the big region of flow of the people is rendered can be red, and the area that flow of the people is small
Domain can be rendered as green, or when the flow of the people in the corresponding geographical position range of map online lattice is gradually increased, right
The color rendering of the grid can be from initial green, gradually change yellowly, then gradually change into red.In addition, above-mentioned
Time can also be real-time time, at this moment, can in corresponding geographical information point real-time display analysis data specific data；Or
Person shows to embody real-time grid and analysis data with dynamic effect (such as the concentration of solid color changes).
It will be understood by those skilled in the art that for analyze data presentation, can also use other it is currently known or
Analysis data are such as directly suspended and are shown on map, or select to grasp in response to user's grid by the display mode of exploitation in the future
Make, data etc. will be analyzed and be highlighted on grid relevant to candidate region.The application does not have in terms of the presentation of analysis data
It is restricted.
With further reference to Fig. 8, it illustrates the analysis data in grid geographical position range corresponding to grid are related
A kind of effect diagram that connection ground is presented.As shown in figure 8, presenting grid and the corresponding geographical location of grid on the map of terminal
Flow of the people in range.Such as, it can be seen that the flow of the people in figure in geographical position range corresponding to grid 810 is larger, and
Flow of the people in geographical position range corresponding to grid 820 is smaller.Terminal is by receiving the corresponding with grid of server transmission
Geographical position range in analysis data, and by grid and analysis data present in association, can be by the analysis number of grid
According to being visually displayed on map.
Referring to FIG. 9, being used to determine a kind of structure of exemplary realization of the device of destination address it illustrates the application
Figure.
As shown in figure 9, the device 900 for determining destination address may include: instruction information receiving unit 910,
Data establish unit 920 and destination address determination unit 930.Wherein instruction information receiving unit 910 can be used for from terminal
The information of instruction candidate region and destination address type is received, data, which establish unit 920, can be used for receiving based on instruction information
Related information in the geographical position range for the candidate region that unit 910 obtains establishes the analysis data of corresponding candidate region, mesh
Mark address determination unit 930 can be used for establishing the analysis data and instruction information receiving unit of the foundation of unit 920 based on data
The 910 destination address types obtained, determine whether candidate region is destination address.Wherein, related information includes at least candidate regions
User's location information in the corresponding geographical position range in domain.
In the present embodiment, the server comprising the device can carry out data interaction between user terminal.In determination
When destination address, user can select the type of candidate region and destination address to be determined on the map that terminal is shown,
The information for indicating candidate region and destination address type can be sent to instruction information receiving unit 910, middle finger by terminal
Show may include in the information of candidate region the selected candidate region of user and map scaling, then indicate that information connects
Receiving unit 910 can receive the information of instruction candidate region and destination address type.Received mode may include passing through nothing
Line connection and wired connection are received.
In the present embodiment, instruction information receiving unit 910 receives the letter of instruction candidate region and destination address type
After breath, data establish unit 920 can determine the geographical position range of candidate region according to the instruction information, by data
It searches in library to obtain the related information in the geographical position range.Meanwhile data are established unit 920 and can be positioned according to user
Information determines whether the user is in the corresponding geographical position range in candidate region, it can is sentenced according to the position of user
Whether the information of the user of breaking is related information in geographical position range.
After related information in the geographical position range for getting candidate region, data are established unit 920 and can be built
The analysis data of vertical corresponding candidate region.Specifically, data establish unit 920 can be classified to the related information of acquisition,
The processing such as statistics, to establish the analysis data of corresponding candidate region.
In some optional implementations, analysis data at least may include flow of the people or density of stream of people.Data are established
Unit 920 is for statistical analysis to user's location information, so that it may obtain the distribution statistics of user geographical location position, thus
Flow of the people or density of stream of people data out.
Destination address determination unit 930 can be established according to data the candidate region that unit 920 obtains analysis data and
It indicates the destination address type in the received instruction information of information receiving unit 910, whether is that destination address is done to candidate region
Decision out.For example, the analysis data of existing address can be established based on the information of the address of existing destination address type, and right
The characteristic of the analysis data of existing address is analyzed, judge the analysis data of candidate region characteristic whether with existing address
The characteristic for analyzing data is consistent, so that it is determined that whether candidate region is destination address.
In some optional implementations, it may include grid dividing list that the data of described device 900, which establish unit 920,
Member, grid set determination unit and analysis data establish unit.Wherein, grid dividing unit can be used for dividing on map
Grid, grid set determination unit are determined for grid set relevant to candidate region, and analysis data establish unit can
With the analysis data for establishing in geographical position range corresponding to grid set.
In some optional implementations, described device can also include: that related information receiving unit 940 (does not show
Out), request is reported for the related information in response to terminal, receives related information.The acquisition of related information can be for certain
Time cycle collects or updates, such as collects or update within one day and is primary.At this moment, it can be obtained and be closed by association receiving unit 940
Connection information simultaneously stores, and establishes the foundation analysis data of unit 920 for data and provides data support.
It should be appreciated that being used to determine in the device 900 of destination address that documented each unit and subelement to be configured for
Practice exemplary embodiment disclosed herein.Therefore, above in conjunction with the operation and feature of Fig. 1, Fig. 2, Fig. 4, Fig. 6 and Fig. 7 description
It is also applied for the device 900 and unit/subelement therein for determining destination address, details are not described herein.
Being described in unit involved in the embodiment of the present application can be realized by way of software, can also be by hard
The mode of part is realized.Described unit also can be set in the processor, for example, can be described as: a kind of processor packet
Instruction information receiving unit is included, data establish unit and destination address determination unit.Wherein, the title of these units is at certain
In the case of do not constitute restriction to the unit itself, for example, instruction information receiving unit is also described as " for receiving
Indicate the unit of information ".
As on the other hand, present invention also provides a kind of computer readable storage medium, the computer-readable storage mediums
Matter can be computer readable storage medium included in device described in above-described embodiment；It is also possible to individualism, not
The computer readable storage medium being fitted into terminal.The computer-readable recording medium storage have one or more than one
Program, described program be used to execute by one or more than one processor be described in the application for determining destination address
Method.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that invention scope involved in the application, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from the inventive concept, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed herein
Can technical characteristic replaced mutually and the technical solution that is formed.
Claims (16)
1. a kind of method for determining destination address, which is characterized in that the described method includes:
The information of instruction candidate region and destination address type is received from terminal；
Related information in geographical position range based on the candidate region establishes the analysis number of the corresponding candidate region
According to the related information includes at least user's location information in the geographical position range of the candidate region；
Based on the analysis data and destination address type, determine whether the candidate region is destination address；
Wherein, described to be based on the analysis data and destination address type, determine whether the candidate region is destination address packet
It includes:
According to the analysis data, judge whether the candidate region meets the pre- of the destination address type using site selection model
Fixed condition, wherein the site selection model is instructed by the Locale information of the existing destination address type in map datum as sample data
It gets.
2. the method according to claim 1, wherein the analysis data packet for establishing the corresponding candidate region
It includes:
The grid division on map；
Determine grid set relevant to the candidate region；
Establish the analysis data in geographical position range corresponding to the grid set.
3. according to the method described in claim 2, it is characterized in that, determination grid set relevant to candidate region, packet
It includes:
The grid is identified；
Determine the mark of the grid intersected with the candidate region；
Grid set relevant with the candidate region is determined according to the mark to the grid of candidate region intersection.
4. according to the method described in claim 3, it is characterized in that, the mark for the grid that the determination is intersected with the candidate region
Know, comprising:
Obtain the boundary point coordinate of the candidate region；
Target gridding search range is determined according to the boundary point coordinate of the candidate region；
The borderline grid for traversing the candidate region in the target gridding search range judges whether it is candidate regions
The domain grid that all covering or part cover；
If it is, determining that current grid is the grid intersected with the candidate region, and record the mark of the grid.
5. according to the method described in claim 4, it is characterized in that, if the borderline grid of the candidate region is candidate
The grid of region part covering is weighted the analysis data in the corresponding geographical position range of grid of part covering
Adjustment.
6. according to the method described in claim 2, it is characterized in that, described establish geographical location corresponding to the grid set
Analysis data in range, comprising:
Analysis data are established for each of grid set grid；
Analysis data based on each grid generate geography corresponding to grid set relevant to the candidate region
Analysis data in position range.
7. according to the method described in claim 6, it is characterized in that, described establish for each of grid set grid
Analyze data, comprising:
Based on user's location information, the data point in the corresponding geographical position range of the grid is determined；
It is for statistical analysis to the related information of the data point to establish the analysis data.
8. according to the method described in claim 2, it is characterized in that, the method also includes:
The analysis data in the corresponding geographical position range of the grid set are sent to terminal so that the terminal is by the net
Lattice are presented in association with the analysis data.
9. the method according to claim 1, wherein the method also includes:
Request is reported in response to the related information of terminal, receives related information from the terminal.
10. method described in one of -9 according to claim 1, which is characterized in that the related information further includes following at least one
: the age of user, gender, constellation, hobby, address, occupation, assets, consuming frequency, consumption type, average per capita consumption letter
Breath；
The analysis data include at least one of the following: flow of the people, density of stream of people.
11. a kind of device of determining destination address, which is characterized in that described device includes:
Information receiving unit is indicated, for receiving the information of instruction candidate region and destination address type from terminal；
Data establish unit, in the geographical position range of the candidate region for being received based on instruction information receiving unit
Related information, establish the analysis data of the corresponding candidate region, the related information includes at least the candidate region
User's location information in geographical position range；
Destination address determination unit is configured to establish the analysis data of unit foundation based on the data and instruction information receives
Unit object address style determines whether the candidate region is destination address；
The destination address determination unit includes judging unit, and the judging unit is used to utilize choosing according to the analysis data
Location model judges whether the candidate region meets the predetermined condition of the destination address type, wherein the site selection model is by ground
The Locale information of existing destination address type in diagram data is obtained as sample data training.
12. device according to claim 11, which is characterized in that the data establish unit and include:
Grid dividing unit, for the grid division on map；
Grid set determination unit, for determining grid set relevant to the candidate region；
Analysis data establish unit, the analysis data for establishing in geographical position range corresponding to the grid set.
13. device according to claim 12, which is characterized in that the grid set determination unit includes:
Marking the cell unit, for being identified to the grid；
Marking the cell determination unit, for determining the mark of the grid intersected with the candidate region；
Related grid set determination unit, for according to the determining grid intersected with the candidate region of the Marking the cell
Mark determines grid set relevant to the candidate region.
14. device according to claim 13, which is characterized in that the Marking the cell determination unit includes:
Boundary point coordinate acquiring unit, for obtaining the boundary point coordinate of the candidate region；
Target gridding search range determination unit, the side of the candidate region for being obtained according to the boundary point coordinate acquiring unit
Boundary's point coordinate determines target gridding search range；
Grid screening unit is configured to traverse the target gridding search model that target gridding search range determination unit determines
The borderline grid of the candidate region in enclosing judges whether it is the candidate region net that all covering or part cover
Lattice if it is, determining that current grid is the grid intersected with the candidate region, and record the mark of the grid.
15. device according to claim 12, which is characterized in that the analysis data establish unit and include:
Network analysis data establish unit, for establishing analysis data for each of grid set grid；
Data generating unit is analyzed in candidate region, for establishing each grid of unit foundation based on the network analysis data
Analysis data, generate the analysis data in geographical position range corresponding to relevant to candidate region grid set.
16. device according to claim 15, which is characterized in that the network analysis data establish unit and include:
Data point determination unit determines in the corresponding geographical position range of the grid for being based on user's location information
Data point；
The related information of related information statistical analysis unit, the data point for determining to the data point determination unit is united
Meter analysis is to establish the analysis data.
Priority Applications (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510084840.5A CN104636482B (en) | 2015-02-16 | 2015-02-16 | Method and apparatus for determining destination address |
| HK15110425.7A HK1209864A1 (en) | 2015-02-16 | 2015-10-22 | Method and device for determining target location |
| TW104135504A TWI598839B (en) | 2015-02-16 | 2015-10-28 | Method and apparatus for determining a target location |
| KR1020150167797A KR20160100809A (en) | 2015-02-16 | 2015-11-27 | Method and device for determining a target location |
| JP2015231857A JP6141393B2 (en) | 2015-02-16 | 2015-11-27 | Method and apparatus for determining a target position |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510084840.5A CN104636482B (en) | 2015-02-16 | 2015-02-16 | Method and apparatus for determining destination address |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104636482A CN104636482A (en) | 2015-05-20 |
| CN104636482B true CN104636482B (en) | 2019-03-26 |
Family
ID=53215228
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510084840.5A Active CN104636482B (en) | 2015-02-16 | 2015-02-16 | Method and apparatus for determining destination address |
Country Status (5)
| Country | Link |
|---|---|
| JP (1) | JP6141393B2 (en) |
| KR (1) | KR20160100809A (en) |
| CN (1) | CN104636482B (en) |
| HK (1) | HK1209864A1 (en) |
| TW (1) | TWI598839B (en) |
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| HK1209864A1 (en) | 2016-04-08 |
| JP2016152044A (en) | 2016-08-22 |
| TWI598839B (en) | 2017-09-11 |
| TW201633241A (en) | 2016-09-16 |
| JP6141393B2 (en) | 2017-06-07 |
| KR20160100809A (en) | 2016-08-24 |
| CN104636482A (en) | 2015-05-20 |
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