CN104636482A - Target address determining method and device - Google Patents
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- CN104636482A CN104636482A CN201510084840.5A CN201510084840A CN104636482A CN 104636482 A CN104636482 A CN 104636482A CN 201510084840 A CN201510084840 A CN 201510084840A CN 104636482 A CN104636482 A CN 104636482A
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Abstract
The invention discloses a target address determining method and device. According to one specific embodiment, the method includes: from a terminal, receiving information indicating a candidate area and type of a target address; based on associated information in a geographical position range of the candidate area, establishing analytic data corresponding to the candidate area; based on the analytic data and the type of the target address, determining whether or not the candidate area is the target address. The associated information includes at least user positioning information in the geographical position range of the candidate area. The target address determining method and device has the advantages that the dimensionality of the information for determining the target address can be expanded and target address selection is more accurate and reliable.
Description
Technical field
The application relates to field of computer technology, is specifically related to electric Digital data processing technical field, particularly relates to the method and apparatus for determining destination address.
Background technology
Addressing refers to prove address and the process of decision-making before building or investment.The determination of destination address with treat that the geographic position of favored area, surrounding enviroment, inhabitant's consumption level and consumption habit are closely related.Existing addressing is artificial behavior mostly, by the data such as the periphery volume of the flow of passengers, the level of consumption of the artificial setting area according to collecting, decision-making is carried out to destination address, when the information that policymaker obtains is not comprehensive or policymaker lacks experience, the accuracy of addressing will be affected significantly, therefore, need to provide accurate, reliable destination address defining method.
Summary of the invention
For addressing the aforementioned drawbacks, this application provides the method and apparatus for determining destination address.
First aspect, this application provides a kind of method for determining destination address.Described method comprises: the information receiving instruction candidate region and destination address type from terminal; Based on the related information in the geographical position range of candidate region, set up the analysis data of corresponding candidate region, wherein related information at least comprises the user's locating information in the geographical position range of candidate region; Based on analysis data and destination address type, determine whether candidate region is destination address.
Second aspect, this application provides a kind of device for determining destination address.Described device comprises: indication information receiving element, is configured for the information receiving instruction candidate region and destination address type from terminal; Data set up unit, are configured for based on the related information in the geographical position range of candidate region, set up the analysis data of corresponding candidate region, and wherein related information at least comprises the user's locating information in the geographical position range of candidate region; Destination address determining unit, is configured for based on analysis data and destination address type, determines whether candidate region is destination address.
The method and apparatus for determining destination address that the application provides, by receiving the information of instruction candidate region and destination address type from terminal, the analysis data of corresponding candidate region are then set up based on the related information in the geographical position range of candidate region, finally based on analysis data and destination address type, determine whether candidate region is destination address, the dimension of the information for determining destination address can being expanded, promoting accuracy and the reliability of choose target IP address.
Accompanying drawing explanation
By reading the detailed description done non-limiting example done with reference to the following drawings, the other features, objects and advantages of the application will become more obvious:
Fig. 1 shows the application for determining the process flow diagram of a kind of exemplary realization of the method for destination address;
Fig. 2 shows the process flow diagram that the application sets up a kind of exemplary realization of the analysis data of corresponding candidate region;
Fig. 3 shows the effect schematic diagram of grid division on map;
Fig. 4 shows the process flow diagram of a kind of exemplary realization of the mark determining the grid crossing with candidate region;
Fig. 5 a shows the effect schematic diagram of grid set relevant to candidate region when candidate region is rectangle;
Fig. 5 b shows the effect schematic diagram of grid set relevant to candidate region when candidate region is irregularly shaped;
Fig. 6 shows the process flow diagram of a kind of exemplary realization of the analysis data in the geographical position range set up corresponding to grid set;
Fig. 7 shows the process flow diagram of a kind of exemplary realization of setting up analysis data into each grid;
Fig. 8 shows the effect schematic diagram analysis data in grid and geographical position range corresponding to grid presented explicitly; And
Fig. 9 shows the application for determining the structural drawing of a kind of exemplary realization of the device of destination address.
Embodiment
Below in conjunction with drawings and Examples, the application is described in further detail.Be understandable that, specific embodiment described herein is only for explaining related invention, but not the restriction to this invention.It also should be noted that, for convenience of description, in accompanying drawing, illustrate only the part relevant to Invention.
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the application in detail in conjunction with the embodiments.
Please refer to Fig. 1, it illustrates the application for determining flow process Figure 100 of a kind of exemplary realization of the method for destination address.The present embodiment is mainly applied in this way in the server with large data-handling capacity and illustrates, be understandable that, this server is the server of broad sense, can be a server, also can be the server farm of server cluster or shareable data.The described method for determining destination address, comprises 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 and server between carry out data interaction.What terminal can comprise that mobile terminal and fixed point put gathers and stores the terminal of data.For example, terminal can, for comprising smart mobile phone, panel computer, the intelligent watch of display screen, also can be retail shop's record in certain geographic position and the terminal (such as recording main frame and the display screen of membership information) of display user's information.
When determining destination address, user can select the type of candidate region and destination address to be determined on the map of terminal demonstration, and such as user can enclose and select a scope alternatively region on the map of terminal demonstration.The information of instruction candidate region and destination address type can be sent to server by terminal then, wherein indicate in the information of candidate region the scaling that can comprise user-selected fixed candidate region and map, then server can receive the information of instruction candidate region and destination address type.The mode received can be comprised and being received by wireless connections and wired connection.
Alternatively, reception this information before, server can also obtain the data interaction request of terminal, and carries out authentication to this data interaction request, authentication by time just receive above-mentioned information.
Then, in the step 120, based on the related information in the geographical position range of candidate region, the analysis data of corresponding candidate region are set up.
In the present embodiment, server can determine the geographical position range of candidate region after receiving the information of instruction candidate region and destination address type, searches by the database preserved at server the related information obtained in this geographical position range.
Related information can be in geographical position range with the destination address information that associates of phasing really, it at least comprises the user's locating information in geographical position range corresponding to candidate region.In some implementations, related information can comprise multidate information and static information.Wherein, multidate information can be included in the information of user movable in this geographical position range, alternatively, user profile can comprise age of user, sex, constellation, hobby, address, occupation, assets, Long-term Interest, consuming frequency, consumption type, average per capita consumption information.Static information can comprise geographical attribute information in geographical position range, such as, in the geographical position range information, shop rent and sale information, various types of Locale information etc. of traffic website.According to user's locating information, server can determine whether this user is in geographical position range corresponding to candidate region, namely can judge that whether the information of this user be the related information in geographical position range according to the position of user.
In some optional implementations, server can report request in response to the related information of terminal, receives related information.In other implementations, server can obtain related information from other data storage centers (such as high in the clouds).The acquisition of related information can be collect with the certain hour cycle or upgrade, and within such as one day, collects or upgrades once.
After related information in the geographical position range getting candidate region, server can set up the analysis data of corresponding candidate region.Particularly, the process such as server can be classified to the related information obtained, statistics, thus set up the analysis data of corresponding candidate region.Wherein statistical treatment can comprise: calculate total amount, calculating mean value, Statistical Distribution (such as Computation distribution function), calculate the process such as mean square deviation.Correspondingly, analyze data and can comprise the data such as classified information, mean value, total value, regularity of distribution data, mean square deviation, it can be the data of certain time point, also can be the data in a period of time.Such as, if related information is the assets information of user, then server can the assets information of at least part of user in the geographical position range corresponding based on the candidate region stored in database be averaged, thus obtains the assets average level data of user in this geographical position range.Again such as, if related information is the consumption type information of user, then server can carry out statistic of classification to the consumption type of at least part of user in geographical position range and (such as consumption is divided into the types such as food and drink, amusement, shopping, service for life, calculate the number of users of each class consumption, draw the ratio of user shared by total number of users that each class is consumed again), using the analysis data of the result of statistic of classification as corresponding candidate region.
In some optional implementations, analyze data and at least can comprise flow of the people or people's current density.Server carries out statistical study to user's locating information, just can draw the distribution statistics of position, user geographic position, thus draws flow of the people or stream of people's density data.
Afterwards, in step 130, based on analysis data and destination address type, determine whether candidate region is destination address.
In the present embodiment, whether the destination address type in the analysis data of the candidate region that server can draw according to step 120 and above-mentioned indication information is that destination address makes a policy to candidate region.Such as, the analysis data of existing address can be set up based on the information of the address of existing destination address type, and the characteristic of the analysis data of existing address is analyzed, judge that whether the characteristic of the analysis data of candidate region is consistent with the characteristic of the analysis data of existing address, thus determine whether candidate region is destination address.
In some optional implementations, based on analysis data and destination address type, determine whether candidate region is destination address, can comprise: according to analysis data, judge whether candidate region meets the predetermined condition of destination address type, to determine that whether candidate region is for destination address.In some implementations, predetermined condition can be set based on experience value by user, such as, be set by the user flow of the people threshold value, average assets threshold value etc.In other realize, predetermined condition also can be determined based on the training result of data with existing.Alternatively, site selection model can be utilized to judge, and whether described candidate region meets the predetermined condition of described destination address type, and this site selection model can obtain by training from the place of the existing destination address type in map datum or Business Information as sample data.Further, can by method establishment site selection model such as such as logistic regressions.Specifically, can, using obtained analysis data as feature, after feature is normalized, be each characteristic allocation weight, afterwards by feature input model, judge whether candidate region is destination address.This model can be obtained by the information training of the place of other destination address types existing on map or Business Information.
Be appreciated that in the present embodiment, above-mentioned related information can comprise polytype related information, the analysis data that server obtains also can comprise the polytype analysis data obtained the analysis of polytype related information.The type of related information is more, and server data volume to be dealt with is larger, and the data volume of the analysis data drawn is larger, then the dimension of information is wider, and the accuracy that destination address is determined is higher.
The method that above-described embodiment of the application provides is passed through to receive from terminal the information indicating candidate region and destination address type, then based on the related information in the geographical position range of candidate region, set up 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 reducing human cost, expanding the dimension of the information for determining destination address, promote accuracy and the reliability of choose target IP address.
For above-described embodiment of the application, the scene of application can be, when user needs to determine destination address, first in terminal, select the type of candidate region and destination address, server is when receiving the information of candidate region that user selectes and target type instruction, related information in the geographical position range of candidate region is analyzed, to obtain for judging candidate region whether for the analysis data of destination address, finally, server judges based on the type of these analysis data and destination address, determines whether candidate region is destination address.
For Catering Pubs address selected on map, when user's setting map scaling is 1:10
4, when a certain region of selected Haidian District, Beijing City is candidate region, the information of the candidate region that server can be specified from terminal reception users such as the mobile phone of user or computers and destination address type (food and drink), to user's locating information of candidate region on map, the level of consumption, customer consumption type, hobby, periphery transport information (such as subway station, bus station's information), treat that the information such as the place of rent and sale carry out analytic statistics, set up the analysis data of this candidate site, the such as flow of the people in calculated candidate region, average per capita consumption, analysis customer consumption is accustomed to, traffic convenience degree etc., judge whether candidate region is the address being applicable to out Catering Pubs based on these data.When analysis data meet predetermined condition, such as flow of the people exceedes ratio that certain threshold value or food and drink consumption accounts for overall consumption when exceeding certain threshold value, can determine that candidate region is the address being applicable to out Catering Pubs.
With further reference to Fig. 2, it illustrates flow process Figure 200 that the application sets up a kind of exemplary realization of the analysis data of corresponding candidate region, the process flow diagram of the also i.e. a kind of exemplary realization of said method step 120.The flow process 200 of the method for the analysis data of the corresponding candidate region of this foundation, comprises the following steps:
In step 210, grid division on map.
In the present embodiment, map can be multilevel splitting by grade classification by server, in some implementations, can be multiple grids that the length of side is certain by map partitioning, such as on map, build multilevel splitting with 10 kms, 5 kms, 2 kms, 1 km, 500 meters, 200 meters and 100 meters for the length of side respectively, constructed grid can be rectangular shape.After the information receiving instruction candidate region and destination address type, server can determine the length of side of the grid that server will divide based on the map scaling comprised in indication information and candidate region.Such as, comparatively large in candidate region, map scaling is 1:10
5time, can with actual range 1 km for the length of side builds corresponding grid on map; And less in candidate region, map scaling is 1:10
3time, can with actual range 200 meters for the length of side builds corresponding grid on map.
Fig. 3 shows the effect schematic diagram of grid division on map.As shown in Figure 3, left figure is different with right figure scaling, and in two figure, the map in certain region is divided into equal-sized multiple grid equably, and the geographic position that each grid is corresponding is non-cross, when map scaling changes, the size of grid and/or quantity also can change thereupon.
Return Fig. 2, in a step 220, determine the grid set relevant to candidate region.
In the present embodiment, server based on grid and the candidate region position on map divided in step 210, can determine the grid set relevant to candidate region.
In the optional implementation of one, the grid set relevant to candidate region can be determined in the following manner: determine and the grid that candidate region is intersected, then these grids crossing with candidate region are identified, determine the grid set relevant with candidate region according to the mark of the grid that candidate region is intersected.Crossing with candidate region refer to this grid all covered by candidate region or part cover.Then server can identify the grid of each rank determines the grid crossing with candidate region, and records the mark of these grids.All grids crossing with candidate region form above-mentioned grid set, and in this set, each grid identifies in modes such as numberings.
Afterwards, in step 230, the analysis data in geographical position range corresponding to grid set are set up.
In the present embodiment, server can obtain the analysis data of each grid in above-mentioned grid set, and the analysis data of all grids in above-mentioned grid set are done gather, using the data that gather as the analysis data in geographical position range corresponding to grid set, thus set up the analysis data in geographical position range corresponding to candidate region.
With further reference to Fig. 4, it illustrates the process flow diagram 400 of a kind of exemplary realization of the mark determining the grid crossing with described candidate region.This determines that the method for the Marking the cell crossing with candidate region can comprise:
In step 410, the frontier point coordinate of candidate region is obtained.
Generally speaking, candidate region can be continuous and closed region.In the present embodiment, server can set up two-dimensional coordinate system on map, obtains the border of candidate region, and determines the coordinate of frontier point.
Then, at step 420 which, according to the frontier point coordinate determination target gridding hunting zone of candidate region.
In the present embodiment, target gridding can be grid crossing with candidate region in map grid.Server can determine the hunting zone of target gridding according to the frontier point coordinate obtained in step 410.In some implementations, can by with the minimum value of the horizontal stroke of all frontier points, ordinate and maximal value for apex coordinate value, build the target gridding hunting zone of a rectangle (minimum enclosed rectangle), thus accelerate search speed.
Afterwards, in step 430, the borderline grid of the candidate region in traversal target gridding hunting zone, judges whether it is the grid that candidate region all covers or part covers.
Because candidate region is generally continuous and closed region, therefore, can only travel through the borderline grid of candidate region.
In certain embodiments, server also can travel through all grids in above-mentioned target gridding hunting zone, judges whether grid is all covered or part covering by candidate region, also namely gets rid of those not crossing with candidate region grids.
Afterwards, in step 440, if the grid that the borderline grid of candidate region is candidate region all to be covered or partly cover, then determine that current grid is the grid crossing with described candidate region, and record the mark of this grid.
When the borderline grid in candidate region is the grid that candidate region all covers or part covers, can determine that this grid is the grid crossing with candidate region.
In some implementations, when candidate region is the shape of rule, such as, during rectangular area, the Marking the cell crossing with candidate region can be determined as follows: the lower left corner coordinate (x calculating rectangular area
1, y
1) and upper right corner coordinate (x
2, y
2), interval is the length of side of grid, then any point (x within the scope of this rectangular area, y) Marking the cell can be drawn by following conversion formula: (grid x, grid y)=(x/interval, y/interval), wherein x
1<x<x
2, y
1<y<y
2, also can directly the two dimension of the coordinate (x, y) of any point in grid as this grid be identified.
With further reference to Fig. 5 a, it illustrates the effect schematic diagram of grid set relevant to candidate region when candidate region is rectangle.As shown in Figure 5 a, in figure, map is divided into multiple equal-sized grid, the rectangular area 510 that user-selected fixed candidate region surrounds for dotted line.First the coordinate of the frontier point of this rectangular area can be calculated, mark the hunting zone of target gridding, the i.e. grid of shadow region 520 in Fig. 5 a, afterwards, the borderline grid of the candidate region in traversal target gridding hunting zone 520, judges whether these grids are the grid that candidate region all covers or part covers.In fig 5 a, in target gridding hunting zone 520, the borderline grid in candidate region is the grid that candidate region part covers, then determine that all grids in this target gridding hunting zone are all the grids crossing with candidate region.
With further reference to Fig. 5 b, it illustrates the effect schematic diagram of grid set relevant to candidate region when candidate region is irregularly shaped.As shown in Figure 5 b, the region 530 that surrounds for dotted line, candidate region.First the coordinate of the frontier point in this region is calculated, mark the hunting zone of target gridding, the i.e. grid of rectangular area 540 in Fig. 5 b, afterwards, the borderline grid of the candidate region in traversal target gridding hunting zone 540, judges whether these grids are the grid that candidate region all covers or part covers.If the coordinate of any point is as the mark of grid in grid, then in figure 5b, in target gridding hunting zone 540, border, candidate region is designated (x
3, y
3) and (x
4, y
3) grid be the grid that candidate region all covers, be designated (x
2, y
2), (x
2, y
3), (x
2, y
4), (x
2, y
5), (x
2, y
6), (x
3, y
5), (x
3, y
4), (x
4, y
4), (x
5, y
4), (x
5, y
3), (x
4, y
2), (x
4, y
2), (x
3, y
2) grid be the grid that candidate region part covers, then determine that the grid in this target gridding hunting zone in the scope of shadow region 550 is the grid crossing with candidate region.
The method provided in above-described embodiment is by determining target gridding hunting zone, then the borderline grid in candidate region in target gridding hunting zone is screened, judge whether it belongs to the grid that candidate region all covers or part covers, if not then it being removed from target gridding hunting zone, finally obtain the mark of the grid crossing with candidate region.Server can determine the grid set relevant to candidate region based on the mark of these grids further, thus for candidate region analysis data set up grid data is provided.
Further, when the borderline grid of candidate region is the grid of candidate region part covering, the analysis data in the geographical position range that the grid that can cover part is corresponding are weighted adjustment.Boundary member due to candidate region not exclusively covers the grid at its place, the analysis data of the candidate region of foundation are caused to there is error, such as, when analysis data are flow of the people, if directly the grid data that the boundary member of candidate region not exclusively covers is returned to server, the analysis data then set up can produce error, and then affect the accuracy that destination address determines.In some implementations, candidate region is much larger than sizing grid, and this error can be ignored.When candidate region is less, for avoiding error, can the area of each grid that covers of first calculated candidate area boundary portion, show that this area accounts for the ratio of the grid total area, using this ratio as weighting factor, be multiplied by the analysis data of grid as rreturn value.In some cases, such as, when analysis data are mean value, density data, distributed data, can be able to be 1 without the need to weighting or weighting factor, namely directly will analyze data as rreturn value.
With further reference to Fig. 6, it illustrates the process flow diagram of a kind of exemplary realization of the analysis data in geographical position range that the application sets up corresponding to grid set, also the exemplary realization flow 600 of one of i.e. step 230.As shown in Figure 6, the analysis data set up in the geographical position range corresponding to grid set can comprise:
In step 610, for each grid in grid set sets up analysis data;
In the present embodiment, server by grid and analysis data correlation, can set up the analysis data of each grid.In some implementations, server can determine the grid position of this user based on the user's locating information obtained, and the analysis data other Information Statistics based on this user being analyzed gained are associated with the grid determined.Wherein, analyze data and can comprise the data such as classified information, mean value, total value, regularity of distribution data, mean square deviation, it can be the data of certain time point, also can be the data in a period of time.
Grid is associated with analysis data by server in step 610, in some implementations, each grid can be associated with multiple analysis data, and the analysis data be associated from different grid can be obtained by different statistical analysis techniques, also can be different types.
Then, in step 620, based on the analysis data of each grid, the analysis data in the geographical position range corresponding to grid set be correlated with in generation candidate region.
In the server pair grid set relevant to candidate region, the analysis data of all grids gather, then can generate the analysis data in the geographical position range corresponding to grid set of being correlated with candidate region.
With further reference to Fig. 7, it illustrates the application is that each grid sets up the process flow diagram of a kind of exemplary realization analyzing data, also namely shows that the one of step 610 is exemplary realizes obtaining flow process 700.As shown in Figure 7, described for each grid set up analyze data can comprise:
In step 720, based on user's locating information, determine the data point in the geographical position range that grid is corresponding.
After server obtains the user's locating information in geographical position range corresponding to candidate region, the geographic position of user can be determined according to user's locating information, and the grid searched or calculate corresponding to this geographic position, determine that the user is a data point of geographical position range corresponding to this grid.Above-mentioned process is carried out to the locating information of the user of big data quantity, multiple data point can be obtained in the geographical position range that each grid is corresponding.
Then, in step 720, statistical study is carried out to the related information of data point and analyze data to set up.
Obtain multiple data point in the geographical position range that each grid is corresponding after, analytic statistics can be carried out for the related information of the correspondence of data point (such as user) each in grid, such as carry out the calculating such as summation, using the analysis data of the result of statistical study as this grid.
In certain embodiments, can also set up for each grid in the following way and analyze data: first based on user's locating information, determine the grid corresponding to geographic position of user, then the related information in the geographical position range corresponding to same mesh is added up, then can obtain the analysis data of this grid.Think that each grid sets up flow of the people data instance below, illustrate server and adopt in this way for each grid sets up the process analyzing data.First, server can pass through the coordinate (x that terminal (such as by the location daily record of mobile phone) obtains user, y), then coordinates computed (x, y) Marking the cell (the grid x corresponding to, grid y), add up same time point or have in the same time period same mesh mark number of users, namely can obtain the flow of the people data of multiple grid.
In a further embodiment, the application provides the method for the address that really sets the goal to comprise: described grid and described analysis data present for described terminal by analysis data from geographical position range corresponding to described grid set to terminal explicitly that send in.Such as, server can send the flow of the people data in geographical position range corresponding with grid for grid to terminal, after terminal receives indication information, flow of the people and grid is presented on explicitly on map, so that analysis data are showed user intuitively.In some implementations, the mode presented can comprise to be played up.Particularly, according to the size of flow of the people, different colors can be played up.The coloured color in the region that such as flow of the people is large can be red, and the little region of flow of the people can be played up as green, or when the flow of the people in the geographical position range that map online lattice are corresponding increases gradually, can be from initial green to the color rendering of this grid, gradually change yellowly, then gradually change into redness.In addition, the above-mentioned time can also be real-time time, at this moment, can in corresponding geographical information point the concrete data of real-time display analysis data; Or show to embody real-time to grid and analysis data with dynamic effect (concentration change of such as solid color).
It will be appreciated by those skilled in the art that, for analyzing presenting of data, other display modes that is known or that develop in the future now can also be used, such as analysis data directly being suspended is presented on map, or select operation in response to user's grid, by highlighted displays on the grid relevant to candidate region such as analysis data.The application does not limit analyzing in the presenting of data.
With further reference to Fig. 8, it illustrates a kind of effect schematic diagram analysis data in grid and geographical position range corresponding to grid presented explicitly.As shown in Figure 8, the map of terminal presents the flow of the people in grid and geographical position range corresponding to grid.Such as, can find out, the flow of the people in the geographical position range in figure corresponding to grid 810 is comparatively large, and flow of the people in geographical position range corresponding to grid 820 is less.Analysis data in the geographical position range corresponding with grid that terminal is sent by reception server, and grid and analysis data are presented explicitly, the analysis data of grid can be presented on map intuitively.
Please refer to Fig. 9, it illustrates the application for determining the structural drawing of a kind of exemplary realization of the device of destination address.
As shown in Figure 9, described for determining that the device 900 of destination address can comprise: indication information receiving element 910, data set up unit 920 and destination address determining unit 930.Wherein indication information receiving element 910 may be used for the information receiving instruction candidate region and destination address type from terminal, data are set up unit 920 and be may be used for based on the related information in the geographical position range of the candidate region of indication information receiving element 910 acquisition, set up the analysis data of corresponding candidate region, destination address determining unit 930 may be used for setting up the analysis data of unit 920 foundation and the destination address type of indication information receiving element 910 acquisition based on data, determines whether candidate region is destination address.Wherein, related information at least comprises the user's locating information in geographical position range corresponding to candidate region.
In the present embodiment, comprise this device server can and user terminal between carry out data interaction.When determining destination address, user can select the type of candidate region and destination address to be determined on the map of terminal demonstration, the information of instruction candidate region and destination address type can be sent to indication information receiving element 910 by terminal, wherein indicate in the information of candidate region the scaling that can comprise user-selected fixed candidate region and map, then indication information receiving element 910 can receive the information of instruction candidate region and destination address type.The mode received can be comprised and being received by wireless connections and wired connection.
In the present embodiment, after indication information receiving element 910 receives the information of instruction candidate region and destination address type, data set up unit 920 can determine candidate region geographical position range according to this indication information, by searching the related information obtained in this geographical position range in a database.Meanwhile, according to user's locating information, data set up unit 920 can determine whether this user is in geographical position range corresponding to candidate region, namely can judge that whether the information of this user be the related information in geographical position range according to the position of user.
After related information in the geographical position range getting candidate region, data set up the analysis data that unit 920 can set up corresponding candidate region.Particularly, data set up the process such as unit 920 can be classified to the related information obtained, statistics, thus set up the analysis data of corresponding candidate region.
In some optional implementations, analyze data and at least can comprise flow of the people or people's current density.Data are set up unit 920 pairs of user's locating information and are carried out statistical study, just can draw the distribution statistics of position, user geographic position, thus draw flow of the people or stream of people's density data.
Whether destination address determining unit 930 can set up the destination address type in the analysis data of the candidate region that unit 920 draws and the indication information of indication information receiving element 910 reception according to data, be that destination address makes a policy to candidate region.Such as, the analysis data of existing address can be set up based on the information of the address of existing destination address type, and the characteristic of the analysis data of existing address is analyzed, judge that whether the characteristic of the analysis data of candidate region is consistent with the characteristic of the analysis data of existing address, thus determine whether candidate region is destination address.
In some optional implementations, the data of described device 900 are set up unit 920 and can be comprised stress and strain model unit, grid set determining unit and analyze data and set up unit.Wherein, stress and strain model unit may be used for grid division on map, grid set determining unit may be used for determining the grid set relevant to candidate region, and analysis data set up the analysis data that unit may be used for setting up in the geographical position range corresponding to grid set.
In some optional implementations, described device can also comprise: related information receiving element 940 (not shown), reports request for the related information in response to terminal, receives related information.The acquisition of related information can be collect with the certain hour cycle or upgrade, and within such as one day, collects or upgrades once.At this moment, can related information be obtained by association receiving element 940 and store, set up unit 920 foundation analysis data for data and Data support is provided.
Should be appreciated that each unit described in the device 900 for determining destination address and subelement are arranged to and put into practice exemplary embodiment disclosed herein.Therefore, above composition graphs 1, Fig. 2, Fig. 4, Fig. 6 and Fig. 7 describe operation and feature be also applicable to the device 900 for determining destination address and unit/subelement wherein, do not repeat them here.
Be described in unit involved in the embodiment of the present application to be realized by the mode of software, also can be realized by the mode of hardware.Described unit also can be arranged within a processor, and such as, can be described as: a kind of processor comprises indication information receiving element, data set up unit and destination address determining unit.Wherein, the title of these unit does not form the restriction to this unit itself under certain conditions, and such as, indication information receiving element can also be described to " for receiving the unit of indication information ".
As another aspect, present invention also provides a kind of computer-readable recording medium, this computer-readable recording medium can be the computer-readable recording medium comprised in device described in above-described embodiment; Also can be individualism, be unkitted the computer-readable recording medium allocated in terminal.Described computer-readable recording medium stores more than one or one program, and described program is used for performance description in the method for determining destination address of the application by one or more than one processor.
More than describe and be only the preferred embodiment of the application and the explanation to institute's application technology principle.Those skilled in the art are to be understood that, invention scope involved in the application, be not limited to the technical scheme of the particular combination of above-mentioned technical characteristic, also should be encompassed in when not departing from described inventive concept, other technical scheme of being carried out combination in any by above-mentioned technical characteristic or its equivalent feature and being formed simultaneously.The technical characteristic that such as, disclosed in above-mentioned feature and the application (but being not limited to) has similar functions is replaced mutually and the technical scheme formed.
Claims (20)
1. for determining a method for destination address, it is characterized in that, described method comprises:
The information of instruction candidate region and destination address type is received from terminal;
Based on the related information in the geographical position range of described candidate region, set up the analysis data of corresponding described candidate region, described related information at least comprises the user's locating information in the geographical position range of described candidate region;
Based on described analysis data and destination address type, determine whether described candidate region is destination address.
2. method according to claim 1, is characterized in that, the analysis data of the corresponding described candidate region of described foundation comprise:
Grid division on map;
Determine the grid set relevant to described candidate region;
Set up the analysis data in the geographical position range corresponding to described grid set.
3. method according to claim 2, is characterized in that, describedly determines the grid set relevant to candidate region, comprising:
Described grid is identified;
Determine the mark of the grid crossing with described candidate region;
The mark of the grid intersected according to described and described candidate region determines the grid set relevant with described candidate region.
4. method according to claim 3, is characterized in that, the described mark determining the grid crossing with described candidate region, comprising:
Obtain the frontier point coordinate of described candidate region;
According to the frontier point coordinate determination target gridding hunting zone of described candidate region;
Travel through the borderline grid of the described candidate region in described target gridding hunting zone, judge whether it is the grid that candidate region all covers or part covers;
If so, then determine that current grid is the grid crossing with described candidate region, and record the mark of this grid.
5. method according to claim 4, is characterized in that, if the borderline grid of described candidate region is the grid that candidate region part covers, the analysis data in the geographical position range that the grid covered described part is corresponding are weighted adjustment.
6. method according to claim 2, is characterized in that, the analysis data in the described geographical position range set up corresponding to described grid set, comprising:
Set up for each grid in described grid set and analyze data;
Based on the analysis data of described each grid, generate the analysis data in the geographical position range corresponding to grid set relevant to described candidate region.
7. method according to claim 6, is characterized in that, described foundation for each grid analyzes data, comprising:
Based on described user's locating information, determine the data point in the geographical position range that described grid is corresponding;
Statistical study is carried out to set up described analysis data to the related information of described data point.
8. method according to claim 2, is characterized in that, described method also comprises:
Described grid and described analysis data present for described terminal by analysis data from geographical position range corresponding to described grid set to terminal explicitly that send in.
9. method according to claim 1, is characterized in that, described based on described analysis data and destination address type, determines whether described candidate region is destination address, comprising:
According to described analysis data, judge whether described candidate region meets the predetermined condition of described destination address type, to determine that whether described candidate region is for destination address.
10. method according to claim 9, it is characterized in that, the described predetermined condition judging whether described candidate region meets described destination address type comprises: whether described candidate region meets the predetermined condition of described destination address type to utilize site selection model to judge, wherein said site selection model to be trained as sample data by the Locale information from the existing destination address type in map datum and obtained.
11. methods according to claim 1, is characterized in that, described method also comprises:
Related information in response to terminal reports request, receives related information from described terminal.
12. according to the method one of claim 1-11 Suo Shu, it is characterized in that, described related information also comprises following at least one item: the age of user, sex, constellation, hobby, address, occupation, assets, Long-term Interest, consuming frequency, consumption type, average per capita consumption information;
Described analysis data comprise following at least one item: flow of the people, people's current density.
13. 1 kinds of devices determining destination address, it is characterized in that, described device comprises:
Indication information receiving element, for receiving the information of instruction candidate region and destination address type from terminal;
Data set up unit, for the related information in the geographical position range of described candidate region that receives based on indication information receiving element, set up the analysis data of corresponding described candidate region, described related information at least comprises the user's locating information in the geographical position range of described candidate region;
Destination address determining unit, is configured for analysis data and the indication information receiving element destination address type of setting up unit foundation based on described data, determines whether described candidate region is destination address.
14. devices according to claim 13, is characterized in that, described data are set up unit and comprised:
Stress and strain model unit, for grid division on map;
Grid set determining unit, for determining the grid set relevant to described candidate region;
Analyze data and set up unit, for setting up the analysis data in the geographical position range corresponding to described grid set.
15. devices according to claim 14, is characterized in that, described grid set determining unit comprises:
Marking the cell unit, for identifying described grid;
Marking the cell determining unit, for determining the mark of the grid crossing with described candidate region;
Relevant grid set determining unit, determines the grid set relevant with described candidate region for what determine according to described Marking the cell to the mark of the grid that described candidate region is intersected.
16. devices according to claim 15, is characterized in that, described Marking the cell determining unit comprises:
Frontier point coordinate acquiring unit, for obtaining the frontier point coordinate of described candidate region;
Target gridding hunting zone determining unit, for the frontier point coordinate determination target gridding hunting zone of the candidate region according to described frontier point coordinate acquiring unit acquisition;
Grid screening unit, be configured for the borderline grid of the described candidate region in target gridding hunting zone that traversal described target gridding hunting zone determining unit determines, judge whether it is the grid that candidate region all covers or part covers, if, then determine that current grid is the grid crossing with described candidate region, and record the mark of this grid.
17. devices according to claim 14, is characterized in that, described analysis data are set up unit and comprised:
Network analysis data set up unit, analyze data for setting up for each grid in described grid set;
Data generating unit is analyzed in candidate region, for setting up the analysis data of each grid that unit is set up based on described network analysis data, generates the analysis data in the geographical position range corresponding to grid set relevant to described candidate region.
18. devices according to claim 17, is characterized in that, described network analysis data are set up unit and comprised:
Data point determining unit, for based on described user's locating information, determines the data point in the geographical position range that described grid is corresponding;
Related information statistical analysis unit, for carrying out statistical study to set up described analysis data to the related information of described data point determining unit established data point.
19. devices according to claim 13, it is characterized in that, described destination address determining unit comprises judging unit, described judging unit is used for according to described analysis data, judge whether described candidate region meets the predetermined condition of described destination address type, to determine that whether described candidate region is for destination address.
20. devices according to claim 19, it is characterized in that, described judging unit is further used for utilizing site selection model to judge, and whether described candidate region meets the predetermined condition of described destination address type, and wherein said site selection model is obtained as sample data training by the Locale information from the existing destination address type in map datum.
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| 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 |
| JP2015231857A JP6141393B2 (en) | 2015-02-16 | 2015-11-27 | Method and apparatus for determining a target position |
| KR1020150167797A KR20160100809A (en) | 2015-02-16 | 2015-11-27 | Method and device for determining a target location |
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Also Published As
| Publication number | Publication date |
|---|---|
| JP6141393B2 (en) | 2017-06-07 |
| HK1209864A1 (en) | 2016-04-08 |
| TWI598839B (en) | 2017-09-11 |
| JP2016152044A (en) | 2016-08-22 |
| KR20160100809A (en) | 2016-08-24 |
| CN104636482B (en) | 2019-03-26 |
| TW201633241A (en) | 2016-09-16 |
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