CN104965920B - Method and apparatus for determining destination address - Google Patents
Method and apparatus for determining destination address Download PDFInfo
- Publication number
- CN104965920B CN104965920B CN201510398415.3A CN201510398415A CN104965920B CN 104965920 B CN104965920 B CN 104965920B CN 201510398415 A CN201510398415 A CN 201510398415A CN 104965920 B CN104965920 B CN 104965920B
- Authority
- CN
- China
- Prior art keywords
- candidate region
- information
- user
- index
- location
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Navigation (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
This application discloses a kind of method and apparatus for determining destination address.This method includes：The information of instruction candidate region and destination address type is received from terminal；The location decision-making information of candidate region is obtained, location decision-making information includes at least demand feedback of the user to candidate region；The addressing index of candidate region is determined based on location decision-making information；And according to addressing index and destination address type decision candidate region whether it is destination address.According to the technical solution of the application destination address can be quickly and accurately determined by collecting user to the demand feedback of candidate region.
Description
Technical field
This application involves field of computer technology, and in particular to network technique field, with more particularly, to determining target
The method and apparatus of location.
Background technology
In daily life, people are it needs to be determined that whether a certain address is the destination address for being suitble to destination address type, example
Such as it is shop addressing, planning building object purposes, etc..During addressing, need to obtain great deal of related information, such as wait for constituency
The geographical location in domain, surrounding enviroment, inhabitant's consumption level and consumption habit are closely related.
There are mainly two types of modes for acquisition of information when addressing at present, and one is artificial on-the-spot investigation, another kind is to pass through biography
The search engine of system is retrieved, collects target area related information.First way consumes larger manpower and cost, and
Duration is shorter, and the decision information of collection is limited.For example, for commercial store, manual type is difficult to a lasting shop
The volume of the flow of passengers period of paving, such as the volume of the flow of passengers of dull season, busy season and regular season.The second way can be handed over by map retrieval to obtain
Logical, periphery relevant industries shop distribution, periphery commercial circle and community are distributed this three classes decision information.Optionally, room can also be passed through
Produce rental web site retrieval obtain rent information, but can not obtain target area crowd amount and crowd's consumption feature information, also without
Method obtains the consumption demand of user.
When the decision information of acquisition is insufficient or inaccurate, it will significantly influence the accuracy of addressing.Therefore, it is necessary to
There is provided technical solution with it is automatic, acquire various location decision-making information comprehensively, to it is accurate, reliably determine destination address.
Invention content
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.This method includes：It is received from terminal
Indicate the information of candidate region and destination address type；Obtain the location decision-making information of the candidate region, the location decision-making
Information includes at least demand feedback of the user to the candidate region；The candidate region is determined based on the location decision-making information
Addressing index；And according to candidate region described in the addressing index and the destination address type decision whether it is target
Location.
Second aspect, this application provides a kind of devices for determining destination address.The device includes：Receiving unit,
Information for receiving instruction candidate region and destination address type from terminal；Acquiring unit, for obtaining the candidate region
Location decision-making information, the location decision-making information includes at least user to the demand feedback of the candidate region；Determination unit,
Addressing index for determining the candidate region based on the location decision-making information；And judging unit, for according to
Whether candidate region is destination address described in addressing index and the destination address type decision.
According to the technical solution of the application, collection user, can be fast to the demand feedback of candidate region by all means
Speed accurately determines destination address.
Description of the drawings
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 the exemplary system architecture that can apply the embodiment of the present application；
Fig. 2 shows the exemplary process diagrams according to the method for determining destination address of the embodiment of the present application；
Fig. 3 shows the schematic design sketch of map area mesh generation；
Fig. 4 shows a kind of exemplary realization for providing demand feedback channel on the electronic map according to the embodiment of the present application
Screenshot capture；
Fig. 5 is shown feeds back the result schematic diagram for being clustered and being classified according to the embodiment of the present application to user demand；
Fig. 6 shows the exemplary screen shots that addressing index is presented to user according to the embodiment of the present application；
Fig. 7 shows a kind of structure chart of exemplary realization of device of the application for determining destination address；And
Fig. 8 shows the structural schematic diagram of the computer system of the server suitable for being used for realizing the embodiment of the present application.
Specific implementation mode
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, is illustrated only in attached drawing and invent relevant part with related.
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, it illustrates the exemplary system architectures 100 that can apply the embodiment of the present application.
As shown in Figure 1, system architecture 100 may include terminal device 101,102, network 103 and server 104.Network
103 between terminal device 101,102 and server 104 provide communication link medium.Network 103 may include various
Connection type, such as wired, wireless communication link or fiber optic cables etc..
User 110 can be interacted by network 103 with server 104 with using terminal equipment 101,102, to access various clothes
Business, such as search information, browsing webpage, downloading data etc..Various clients can be installed on terminal device 101,102 to answer
With, such as electronic map, browser etc..
Terminal device 101,102 can be various electronic equipments, such as can include but is not limited to, various removable portable
Equipment, smart mobile phone, tablet computer, personal digital assistant, E-book reader etc. and various fixed terminals are set
It is standby, PC, smart television, inquiry service terminal etc..
Server 104 can be to provide the server of various services.Server can in response to user service request and
Service is provided.It is appreciated that a server can provide one or more services, same service can also be by multiple services
Device provides.In embodiments herein, involved server 104 can be search server.
It should be understood that the number of the terminal device, network and server in Fig. 1 is only schematical.According to realization need
It wants, can have any number of terminal device, network and server.
With reference to figure 2, it illustrates the exemplary process diagrams of the method for determining destination address of the embodiment of the present application.This
Embodiment is mainly applied to illustrate in the server with big data processing capacity in this way, it is to be understood that
The server is the server of broad sense, can be a server, can also be the service of server cluster or shareable data
Device group.
As shown in Fig. 2, in step 210, 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
Pinpoint the terminal acquired and store data put.For example, terminal can be the smart mobile phone comprising display screen, tablet
Computer, smartwatch, or the retail shop in some geographical location records and the terminal of display user information (such as records member
The host and display screen of information).
User can select candidate region and target to be determined in several ways on the map that terminal is shown
Address style.
In one implementation, user can directly input the name of candidate region on the input window for the map that terminal is shown
Title and destination address type.The title of candidate region for example can include but is not limited to, the mansions XX, the roads YY or ZZ cells etc..Mesh
Address style is marked such as can include but is not limited to eating and drinking establishment, chafing dish restaurant, convenience store.Then map can be according to the name of input
Claim the candidate region for navigating to user's selection.Optionally, terminal can automatically determine the magnitude range of the candidate region, such as with
Within the scope of certain radius centered on place input by user.The size of radius can be that system default or user are adjustable
's.
In another implementation, user can enclose on the map that terminal is shown and select a range as candidate region.
Terminal can be selected according to the circle of user, the identification information of candidate region be determined, to be sent to server.For example, can be over the ground
Region on figure carries out gridding processing, judges the grid that candidate region is covered, to which the identification information of grid to be sent to
Server.
Specifically, it is multilevel splitting that map can be pressed to grade classification.For example, in some implementations, map can be drawn
Be divided into the certain multiple grids of the length of side, for example, respectively with 10 kms, 5 kms, 2 kms, 1 km, 500 meters, 200 meters and 100
Rice is that the length of side builds multilevel splitting on map.Constructed grid can be variously-shaped, including but not limited to hexagon, square
Shape etc..Terminal can determine the length of side and map scaling of grid according to the size of the candidate region of the enclosed choosing of user.Example
Such as, larger in candidate region, map scaling is 1：105When, it can be built on map using 1 km of actual range as the length of side
Corresponding grid；And it is smaller in candidate region, map scaling is 1:103When, it can be existed for the length of side with 200 meters of actual range
Corresponding grid is built on map.
Fig. 3 shows the schematic design sketch of map area mesh generation.As shown in figure 3, map area is divided into six
Side shape boxwork, each grid can distribute corresponding identification information.For example, in figure 3, from center to surrounding to grid
It is numbered respectively, central gridding number is 1, and surrounding first lap grid is respectively 2-7, and the second hoop net lattice of surrounding are respectively 8-
19。
In another implementation, the region of gridding can be directly shown on map for selection by the user.For example, map
On region can be shown that user can click directly on choosing from shown grid according to mesh generation shown in Fig. 3
Some grid is selected as candidate region, can also click and multiple grids or circle is selected to select multiple grids as candidate region.Together
Sample, corresponding Marking the cell information can be sent to server by terminal according to the user's choice.
Optionally, server can also obtain end before receiving the information of instruction candidate region and destination address type
The data interaction at end is asked, and is authenticated to data interaction request, and above- mentioned information is just received when the authentication is passed.
Then, in a step 220, the location decision-making information of candidate region is obtained.
Server similarly can carry out gridding processing with terminal to electronic map, to according to the time received from terminal
The Marking the cell information of favored area identifies the geographical position range of candidate region.
In general, when carrying out location decision-making, the various location decision-making information within the scope of candidate region are not only considered, also
Consider a certain range of location decision-making information in the candidate region periphery.Therefore, in some embodiments, it is based on grid and candidate
The distance in region is weighted integration using the location decision-making as the candidate region to the location decision-making information from each grid
Information.
For example, by taking mesh generation shown in Fig. 3 as an example, each grid can represent a candidate region.It is with grid 1
Benchmark is illustrated, and grid 2-7 represents its neighboring area, and grid the last 1 associated region, and user in grid 2-7 is very in practice
It is possible that the shop that can take into account grid 1 is done shopping.Grid 8-19 is the weak rigidity region of grid 1, in practice grid 8-19
User is possible to the shop in grid 1 do shopping.It therefore, can be to distinguishing from the collected location decision-making information of grid 1-19
Weight is distributed, integration is then weighted.For example, the weight of the information of grid 1 is the first value, the weight of the information of grid 2-7
It is second value, the weight of the information of grid 8-19 is third value, wherein the first value is more than second value, second value is more than third
Value.
It returns to Fig. 2 and determines the addressing index of candidate region based on location decision-making information in step 230.
Location decision-making information may include various and the relevant information of addressing, be accordingly based on different types of addressing
Decision information can obtain different types of addressing index.
In some embodiments, location decision-making information includes at least demand feedback of the user to candidate region, is based on demand
Addressing index determined by feedback is user intention index.
In these embodiments, can be destination address by acquiring or excavating demand feedback of the user to candidate region
Determine accurate reference information be provided.The demand feedback of user may include direct feedback and/or indirect feedback.
In some implementations, direct feedback of the user for the demand willingness of candidate region can be received, these are directly anti-
Feedback for example may include via the demand feedback channel provided on the electronic map and the user that acquires on electronic map
The comment of point of interest POI or message, these comments or message reflect the demand willingness that user is directed to different address type.
Fig. 4 shows a kind of exemplary realization for providing demand feedback channel on the electronic map according to the embodiment of the present application
Screenshot capture.
As shown in figure 4, when user searches a certain address using electronic map, identifying can in the wicket 410 of the address
With presentation user's wish acquisition interface.For example, user searches for the Science and Technology Buildings XX, " it is expected shop " mark is provided in wicket 410
Page is signed, which provides input field so that user inputs the shop for it is expected to open up in this address.User clicks " submission ", and institute is defeated
The content entered will submit to server to carry out subsequent analysis processing.
It will be understood by those skilled in the art that it is also based on the demand feedback channel that electronic map provides other forms,
There is no limit in this regard by the application.
In other realizations, demand willingness of the user for candidate region can be analyzed according to user's operation behavior
Indirect feedback.User's operation behavior for example can include but is not limited to following any：Route retrieval request based on electronic map,
Search operation etc. in search engine.
For example, when user scans for operation using search engine, if search inquiry is the " chafing dish of five road junctions, one band
Shop " can then show that user wishes that five road junctions, one band offers chafing dish restaurant indirectly.In another example when user is sent out by electronic map
Playing route retrieval request can then analyze from the route retrieval request such as West Second Qi subway station to totality clock (West Second Qi shop)
User wishes that nearby there is this fast food restaurant of totality clock in West Second Qi.
Then the user demand feedback directly received or indirect analysis obtains can be handled with the corresponding choosing of determination
Location index：User intention index.
In some embodiments, determine that user intention index may include：By user to different address class in candidate region
The demand feedback of type is clustered and is divided into the demand of multiple ranks, and the wherein higher demand feedback of rank is about fine；And needle
Demand feedback to different stage is the user intention index in corresponding address style calculating addressing index.
Fig. 5 is shown feeds back the result schematic diagram for being clustered and being classified according to the embodiment of the present application to user demand.
In the example depicted in fig. 5, the demand feedback of user can be divided into three ranks, and rank is higher, and granularity is smaller, need
Ask division finer.Tree-like relational graph can be established to the demand of these three ranks and be related to this table.Tree-like pass is shown in Fig. 5
System's figure.
As shown in figure 5, the first order can represent the type in shop.The type in shop for example can include but is not limited to, clothes
Dress shop, eating and drinking establishment, mother and baby shop, convenience store, makeups shop, pharmacy, entertainment article shop, sports store, daily chemical product shop, toy
Shop, hardware store, small household appliances shop.
The second level can represent the further division of shop type.For example, eating and drinking establishment can be further divided into Chinese meal, small
Have fast food, Sichuan cuisine, western-style food, chafing dish, ration, South Korea's cooking, North-west China cuisine, milk tea, bread dessert etc..
The third level can represent the specific brand in shop or specific trade name.For example, chafing dish restaurant may include：Seabed fishing fire
Pot shop, wide plate stool chafing dish restaurant, nine grids chafing dish restaurant, etc..
Can be that different address style calculates corresponding user intention index according to cluster and classification results, using as
The addressing index of candidate region.
For example, can be directed to cluster and classification after user intention, be different address type destination address (for example, quotient
Shop) carry out scoring processing.Various standards of grading can be designed, accurately to reflect that user is directed to the place of different address type
Wish demand.A kind of example according to the embodiment of the present application is described by taking cluster shown in Fig. 5 and classification results as an example below
Property scoring processing mode.
If the demand feedback (such as the comment by electronic map or message) of user is third level demand, such as " I thinks
Nearby there are a seabed fishing chafing dish restaurant in the mansions XX ", then fishing chafing dish restaurant score in seabed adds 1；The corresponding second level demand of seabed fishing " in
Meal " and " chafing dish restaurant " score add 1 respectively；Corresponding first order demand " food and drink " score also adds 1.
If the demand feedback of user is second level demand, such as " mansions Wo Xiang XX nearby have a chafing dish restaurant all right ",
Then calculate the total quantity N of corresponding third level demand below chafing dish restaurant, and each score of corresponding third level demand point
Not plus 1/N；Corresponding second level demand " chafing dish " score of chafing dish restaurant adds 1；Corresponding first order demand " food and drink " score of chafing dish restaurant
Also plus 1.In the example depicted in fig. 5, corresponding third level quantity required is 3 below chafing dish, therefore third level demand (seabed
Fishing, wide plate stool, nine grids) score respectively add 1/3；Corresponding second level demand " chafing dish " score of chafing dish restaurant adds 1；Chafing dish pair
First order demand " food and drink " score answered also adds 1.
If the demand feedback of user is first order demand, such as " the mansions Wo Xiang XX nearby have one can have a meal ", root
According to alias strategy, " ground having a meal " is the alias of food and drink, then calculates the total quantity M of the corresponding second level demand of food and drink, corresponding
Each score of second level demand adds 1/M respectively；Calculate the total quantity N of the corresponding third level demand of food and drink, corresponding third
Each score of grade demand adds 1/N respectively；The score of the corresponding first order demand of food and drink adds 1.In the example depicted in fig. 5,
Corresponding second level quantity required is 5 below food and drink, therefore second level demand (Chinese meal, fast food, chafing dish, South Korea's dish, Sichuan cuisine)
Score adds 1/5 respectively；The corresponding all third level quantity requireds of food and drink be 3, therefore third level demand (seabed fishing, wide plate stool,
Nine grids) score respectively add 1/3；Corresponding first order demand " food and drink " score of food and drink also adds 1.
The indirect of the demand willingness of candidate region is directed to for the user described above according to user's operation behavioural analysis
Feedback, is equally applicable above-mentioned marking mode.For example, initiating route retrieval request " West Second Qi by electronic map with user
Subway station is to totality clock (West Second Qi shop) " for, 1 is added to third level demand " totality clock (West Second Qi shop) " score, it is corresponded to
Second level demand " Chinese meal " and snack food score add 1 respectively, 1 is added to its corresponding first order demand " food and drink " score.
As described above, the user demand feedback that can be obtained based on direct reception or indirect analysis is determined correspondingly
The user intention index of location type.
Alternatively or additionally, in some embodiments, location decision-making information further includes the passenger flow information of candidate region, base
The addressing index determined by passenger flow information is passenger flow index.
In these embodiments, passenger flow information can be acquired by the Location Request of user terminal.In some implementations,
Corresponding location data can be obtained according to the Location Request of user terminal, can then be counted according to these location datas
The Location Request of candidate region.In other words, the Location Request of user terminal embodies the passenger flow situation of candidate region.Location Request
It can be the Location Request that some applications (for example, electronic map application) of user terminal are initiated on backstage, can also be user
The Location Request actively initiated.
Passenger flow index can include but is not limited to the volume of the flow of passengers.More specifically, the volume of the flow of passengers be further divided into mobile population amount and
Resident crowd's amount.The volume of the flow of passengers can be calculated by Location Request.User positioned once, it may be considered that the stream of people of candidate region
Amount plus 1.Further, user can be determined for floating population also according to the time of origin of the Location Request in candidate region
It is resident population.For example, if user terminal Location Request is repeatedly happened at morning zero to same place between 6 points of morning,
It may be considered that the user is the resident in the region, then resident crowd's amount adds 1 accordingly.If the positioning that user terminal is initiated is asked
It asks and is repeatedly happened at 9 points to 11 points of the morning, at 5 points in 2 pm to afternoon, it may be considered that the user is the work (packet in the region
Include other matters such as study) crowd, also belong to the resident crowd in the region, therefore resident crowd's amount plus 1 accordingly.Remaining when
Between Location Request it may be considered that being floating population, correspondingly to mobile population gauge number.
Alternatively or additionally, in some embodiments, location decision-making information further includes the traffic information of candidate region, base
The addressing index determined by traffic information is traffic convenience index.
It in these embodiments, can be based on the public friendship within the scope of different distance of the electronic map to determine candidate region
Communication breath, and determine traffic convenience index according to these public traffic informations.Traffic convenience index can for example be divided into：It hands over
Defaecation profit, traffic is relatively convenient, traffic is general, four ranks of having inconvenient traffic.It will be understood by those skilled in the art that can also carry out
The division of other more or less ranks, there is no limit in this regard by the application.
In some implementations, it can be weighed at a distance from candidate region based on previously described mesh generation.For example, still
By taking the mesh generation shown in Fig. 3 as an example, it might as well assume that candidate region is grid 1.For the shop in candidate region 1, if grid 1
Inside there are the public transport such as public transport or subway, it may be considered that the traffic convenience of candidate region 1.If be not present in grid 1
Public transport, but there are public transport or subways in the grid 2-7 of its periphery, it may be considered that traffic is relatively convenient.If in grid 1-7
Public transport is not present, and there are public transport by grid 8-19, then for candidate region 1, it is believed that traffic is general.If
Public transport is all not present for grid 1-19, then is had inconvenient traffic for the shop in grid 1.
In some other realization, the circle of different radii directly centered on candidate region, can be divided to judge not
The traffic convenience index of same level.The realization is similar with front, and details are not described herein again.
Alternatively or additionally, in some embodiments, location decision-making information can also include that the shop of candidate region is believed
Breath, the addressing index based on determined by store information are the similar shop index in periphery.
It in these embodiments, can be based on the point of interest POI data that electronic map is acquired, to obtain candidate region
Various types of store informations；And clustering is carried out to various types of store informations of candidate region and counts of all categories
The quantity in shop, to determine the similar shop index in periphery.
The clustering of store information can for example be used according to firm name, with reference to above in conjunction with being directed to for Fig. 5 descriptions
The clustering of family demand feedback.Firm name can correspond to the classification of the third level demand in Fig. 5.For example, if the area
There are two seabeds to drag for chafing dish restaurant in domain, and 1 nine grids, 0 wide plate stool, other shop quantity are 0, then this can be calculated
In the second level demand in region, Chinese-style restaurant's quantity is 3, and chafing dish restaurant quantity is 3.For first order demand, eating and drinking establishment's quantity is 3,
It corresponds to the shop quantity summation of the third level demand.The similar shop index in periphery can be by the region and destination address type
The quantity in identical shop characterizes.
Alternatively or additionally, in some embodiments, location decision-making information can also include the large size in candidate region
Service location information, and corresponding addressing index can be exactly large-scale service location information itself.Large-scale service location information
It can relatively rapid reflect the periphery service for life general status in a region.This large size service location includes but unlimited
In：Community, school, commercial circle, store, large supermarket, sight spot, hospital etc..
It in these embodiments, can be based on the point of interest POI data and planar data that electronic map is acquired, to obtain
Large-scale service location information in candidate region and its in preset range.
Alternatively or additionally, in some embodiments, location decision-making information can also include the shop in candidate region
Type and rent information, the addressing index based on determined by these information are shop cost index.
In these embodiments, server can for example extract via internet hunt and/or directly receive third party
The shop type and rent information of offer.For example, information interface can be provided by house property medium company, it is used for transmission shop type
And rent information.These information for example can include but is not limited to：Floor space, daily rental fee, rent per month, type are (such as overlooking
Shop, shopping center etc.) etc. information.Then, server can determine the candidate region according to shop type and rent information
Addressing index in shop cost index, namely determine the shop cost of destination address type.
Fig. 2 is returned, in step 240, addressing index is sent so that whether judgement candidate region is destination address to terminal.
In this step, identified addressing index can be sent back to user terminal by server.Then, user terminal
These addressing indexs can be shown so that user determines whether candidate region can be destination address to user.
Fig. 6 shows the exemplary screen shots that addressing index is presented to user according to the embodiment of the present application.Such as Fig. 6 institutes
Show, user inputs the mansions XX on the electronic map, user terminal then can the associated addressing index in the mansions Jiang Yu XX show
Come.For example, the volume of the flow of passengers is 1213 (average daily), user intention index is 60, which can be used for characterizing the first of user
The sum of direct wish and indirect wish score corresponding to grade demand (such as food and drink, dress ornament, mother and baby etc.).Traffic convenience index is
It is convenient；Shop cost is that region be averaged rent per month 5000, during periphery large size service for life place has the shopping centers YY, shop to be distributed
List a few class shops, food and drink, makeups, convenience store, clothes shop etc..User can click corresponding link and check details.
Alternatively or additionally, server can also directly be judged according to addressing index, and by addressing index and
Judgement result is sent to user terminal simultaneously.It in some implementations, can be by judging whether addressing index meets destination address
The predetermined condition of type judges whether candidate region can be destination address.Predetermined condition can be set based on experience value
It is fixed.Predetermined condition can also be determined based on the training result of data with existing.It is alternatively possible to be judged using site selection model candidate
Whether region meets the predetermined condition of the destination address type, which can be by from the existing mesh in map datum
The place or Business Information for marking address style train to obtain as sample data.It is possible to further for example, by logistic regression
The methods of establish site selection model.Specifically, feature can be normalized using acquired addressing index as feature
Afterwards, it is that each feature distributes weight, in feature input model, will judges whether candidate region is destination address later.The mould
Type can be trained to obtain by the place of other existing destination address types on map or the information of Business Information.
The method for determining destination address of the embodiment of the present application is described above in conjunction with Fig. 2-Fig. 6.According to the application
The technical solution of embodiment can collect demand feedback of the user to candidate region by establishing user intention feedback channel, from
And quickly and accurately determine destination address.Alternatively or additionally, it can be obtained and be used by Orientation on map in some embodiments
Family passenger flow information obtains traffic route information, periphery store information, commercial circle and community information by map, is grabbed by internet
It takes or partner provides target area rent information, location decision-making information can be acquired comprehensively.These location decision-making information pass through whole
The operations such as conjunction processing, cluster score can obtain various addressing indexs, such as including user intention index, passenger flow index, traffic
Convenient index, the similar shop index in periphery, shop cost index and large-scale service location distribution etc..User can be based on this
A little addressing indexs carry out decision to candidate region.
It should be noted that although describing the operation of the method for the present invention with particular order in the accompanying drawings, this is not required that
Or imply and must execute these operations according to the particular order, it could the realization phase or have to carry out operation shown in whole
The result of prestige.On the contrary, the step of describing in flow chart, which can change, executes sequence.Additionally or alternatively, it is convenient to omit certain
Multiple steps are merged into a step and executed, and/or a step is decomposed into execution of multiple steps by step.
With further reference to Fig. 7, it illustrates according to the device for determining destination address of the application one embodiment
Exemplary block diagram.
As shown in fig. 7, for determine the device 700 of destination address may include receiving unit 710, acquiring unit 720, really
Order member 730 and transmission unit 740.
Receiving unit 710 is used to receive the information of instruction candidate region and destination address type from terminal.Acquiring unit 720
It is anti-that location decision-making information for obtaining candidate region, wherein location decision-making information include at least demand of the user to candidate region
Feedback.Determination unit 730 is used to determine the addressing index of candidate region based on location decision-making information.Transmission unit 740 was used for end
End sends addressing index so that whether judgement candidate region is destination address.
In some embodiments, acquiring unit 720 may include that demand feedback obtains subelement 721, for receiving user
For the direct feedback of the demand willingness of candidate region, wherein directly feedback includes being adopted via the demand feedback channel of electronic map
Comment or message of the user of collection for the point of interest POI on electronic map, comment or message reflection user are directed to different address
The demand willingness of type；And/or for according to user's operation behavioural analysis user for candidate region demand willingness it is indirect
Feedback, wherein user's operation behavior includes following any：In route retrieval request and search engine based on electronic map
Search operation.
In these embodiments, determination unit 730 may include user intention index determination subelement 731, for that will use
Family clusters the demand feedback of different address type in candidate region and is divided into the demand of multiple ranks, and wherein rank is got over
High demand feedback is finer；And for different stage demand feedback be corresponding address style calculate addressing index in use
Family wish index.
Alternatively or additionally, in some embodiments, acquiring unit 720 can also include that passenger flow information obtains subelement
722, for the Location Request according to user terminal, obtain location data；And determining for candidate region is counted according to location data
Position request.In these embodiments, determination unit 730 can also include passenger flow index determination subelement 732, for according to candidate
The time of origin of the Location Request in region determines that user is floating population or resident population；And the quantity based on Location Request is
Candidate region counts mobile population amount and/or resident crowd amount in addressing index respectively.
Alternatively or additionally, in some embodiments, acquiring unit 720 can also include that traffic information obtains subelement
723, for determining the public traffic information within the scope of the different distance of candidate region based on electronic map.In these embodiments
In, determination unit 730 can also include traffic convenience index determination subelement 733, for the different distance according to candidate region
Public traffic information in range determines the traffic convenience index in the addressing index of candidate region.
Alternatively or additionally, in some embodiments, acquiring unit 720 can also include that store information obtains subelement
724, the point of interest POI data for being acquired based on electronic map obtains various types of store informations of candidate region.
In these embodiments, determination unit 730 can also include the similar shop index determination subelement 734 in periphery, for candidate regions
Various types of store informations in domain carry out clustering and count the quantity in shop of all categories, to determine the addressing of candidate region
The similar shop index in periphery in index.
Alternatively or additionally, in some embodiments, acquiring unit 720 can also include that large-scale service location information obtains
Take subelement 725, the point of interest POI data for being acquired based on electronic map and planar data, obtain candidate region and its
Large-scale service location information in preset range.Large-scale service location may include at least one of following：Community, school, commercial circle,
Market, large supermarket, sight spot, hospital.
Alternatively or additionally, in some embodiments, acquiring unit 720 can also include shop type and rent information
Subelement 726 is obtained, for the shop type and rent information that third party provides to be extracted or received via web search.At this
In a little embodiments, determination unit 730 can also include shop cost index determination subelement 736, for according to shop type and
Rent information determines the shop cost index in the addressing index of candidate region.
In some embodiments, acquiring unit 720 is additionally operable to：Electronic map is divided into grid；And based on grid with
The distance of candidate region is weighted integration using the location decision-making as candidate region to the location decision-making information from each grid
Information.
It should be appreciated that all units or subelement described in device 700 with it is each in the method that is described with reference to figure 2- Fig. 6
Step is corresponding.As a result, device 700 and list wherein included are equally applicable to above with respect to the operation and feature of method description
Member, details are not described herein.
Below with reference to Fig. 8, it illustrates the computer systems 800 suitable for the server for realizing the embodiment of the present application
Structural schematic diagram.
As shown in figure 8, computer system 800 includes central processing unit (CPU) 801, it can be read-only according to being stored in
Program in memory (ROM) 802 or be loaded into the program in random access storage device (RAM) 803 from storage section 808 and
Execute various actions appropriate and processing.In RAM 803, also it is stored with system 800 and operates required various programs and data.
CPU 801, ROM 802 and RAM 803 are connected with each other by bus 804.Input/output (I/O) interface 805 is also connected to always
Line 804.
It is connected to I/O interfaces 805 with lower component：Importation 806 including keyboard, mouse etc.；It is penetrated including such as cathode
The output par, c 807 of spool (CRT), liquid crystal display (LCD) etc. and loud speaker etc.；Storage section 808 including hard disk etc.；
And the communications portion 809 of the network interface card including LAN card, modem etc..Communications portion 809 via such as because
The network of spy's net executes communication process.Driver 810 is also according to needing to be connected to I/O interfaces 805.Detachable media 811, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on driver 810, as needed in order to be read from thereon
Computer program be mounted into storage section 808 as needed.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of Fig. 2-Fig. 7 descriptions
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising be tangibly embodied in machine readable
Computer program on medium, the computer program include the program code of the method for executing Fig. 2-Fig. 7.Such
In embodiment, which can be downloaded and installed by communications portion 809 from network, and/or is situated between from detachable
Matter 811 is mounted.
Flow chart in attached drawing and block diagram, it is illustrated that according to the system of various embodiments of the invention, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part for a part for one module, program segment, or code of table, the module, program segment, or code includes one or more
Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box
The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical
On can be basically executed in parallel, they can also be executed in the opposite order sometimes, this is depended on the functions involved.Also it wants
It is noted that the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart, Ke Yiyong
The dedicated hardware based system of defined functions or operations is executed to realize, or can be referred to specialized hardware and computer
The combination of order is realized.
Being described in unit or module involved in the embodiment of the present application can be realized by way of software, can also
It is realized by way of hardware.Described unit or module can also be arranged in the processor.These units or module
Title does not constitute the restriction to the unit or module itself under certain conditions.
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；Can also be individualism, not
The computer readable storage medium being fitted into equipment.There are one computer-readable recording medium storages or more than one journey
Sequence, described program are used for executing the formula input method for being described in the application by one or more than one processor.
Above description is only the preferred embodiment of the application and the explanation to institute's application technology principle.People in the art
Member 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
Other technical solutions of arbitrary combination and formation.Such as features described above has similar work(with (but 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 method includes：
The information of instruction candidate region and destination address type is received from terminal；
The location decision-making information of the candidate region is obtained, the location decision-making information includes at least user to the candidate region
Demand feedback；
The addressing index of the candidate region is determined based on the location decision-making information, it is described true based on the location decision-making information
The addressing index of the fixed candidate region includes at least：User carries out the demand feedback of different address type in candidate region
The demand of multiple ranks is clustered and is divided into, the wherein higher demand feedback of rank is finer；For the demand feedback of different stage
The user intention index in addressing index is calculated for corresponding address style；And
Whether send the addressing index to terminal for judging the candidate region is destination address.
2. according to the method described in claim 1, wherein, obtain user includes to the demand feedback of candidate region：
Direct feedback of the user for the demand willingness of candidate region is received, wherein the direct feedback includes via electronic map
The acquisition of demand feedback channel comment or message, the comment or message of the user for the point of interest POI on electronic map
Reflect that user is directed to the demand willingness of different address type；And/or
According to user's operation behavioural analysis user for the indirect feedback of the demand willingness of candidate region, wherein the user's operation
Behavior includes following any：Search operation in route retrieval request and search engine based on electronic map.
3. according to the method described in claim 2, wherein, the location decision-making information further includes the passenger flow information of candidate region,
And it obtains passenger flow information and includes：
According to the Location Request of user terminal, location data is obtained；And
The Location Request of the candidate region is counted according to the location data；And
It is described to determine that the addressing index of the candidate region further includes based on the location decision-making information：
Determine that user is floating population or resident population according to the time of origin of the Location Request of the candidate region；And
Quantity based on the Location Request is that the candidate region counts mobile population amount in addressing index and/or often respectively
Amount in crowd.
4. according to the method described in claim 3, wherein, the location decision-making information further includes the traffic information of candidate region,
And it obtains traffic information and includes：
The public traffic information within the scope of the different distance of the candidate region is determined based on electronic map；And
It is described to determine that the addressing index of the candidate region further includes based on the location decision-making information：
According to the public traffic information within the scope of the different distance of the candidate region, the addressing index of the candidate region is determined
In traffic convenience index.
5. according to the method described in claim 4, wherein, the location decision-making information further includes the shop letter in candidate region
Breath, and obtain store information and include：
Based on the point of interest POI data that electronic map is acquired, various types of store informations of candidate region are obtained；And
It is described to determine that the addressing index of the candidate region further includes based on the location decision-making information：
Clustering is carried out to various types of store informations of the candidate region and counts the quantity in shop of all categories, with true
The similar shop index in periphery in the addressing index of the fixed candidate region.
6. according to the method described in claim 5, wherein, the location decision-making information further includes the large-scale service field of candidate region
Institute's information, and obtain large-scale service location information and include：
The point of interest POI data and planar data acquired based on electronic map is obtained in candidate region and its preset range
Large-scale service location information, the large size service location includes at least one of following：Community, school, commercial circle, market, large size are super
City, sight spot, hospital.
7. according to the method described in claim 6, the wherein described location decision-making information further include candidate region shop type and
Rent information, and obtain shop type and rent information includes：
The shop type and rent information that third party provides are extracted or received via web search；And
It is described to determine that the addressing index of the candidate region further includes based on the location decision-making information：
According to the shop type and rent information, the shop cost index in the addressing index of the candidate region is determined.
8. according to any methods of claim 1-7, wherein the location decision-making information for obtaining the candidate region includes：
Electronic map is divided into grid；And
Integration is weighted using as described to the location decision-making information from each grid at a distance from candidate region based on grid
The location decision-making information of candidate region.
9. a kind of for determining the device of destination address, which is characterized in that described device includes：
Receiving unit, the information for receiving instruction candidate region and destination address type from terminal；
Acquiring unit, the location decision-making information for obtaining the candidate region, the location decision-making information include at least user
To the demand feedback of the candidate region；
Determination unit, the addressing index for determining the candidate region based on the location decision-making information, the determination unit
Including at least user intention index determination subelement, it is used for：By user to the demand feedback of different address type in candidate region
The demand of multiple ranks is clustered and is divided into, the wherein higher demand feedback of rank is finer；For the demand of different stage
The user intention index being fed back in corresponding address style calculating addressing index；And
Whether transmission unit is destination address for sending the addressing index to terminal for judging the candidate region.
10. device according to claim 9, wherein the acquiring unit includes that demand feedback obtains subelement, is used for：
Direct feedback of the user for the demand willingness of candidate region is received, wherein the direct feedback includes via electronic map
The acquisition of demand feedback channel comment or message, the comment or message of the user for the point of interest POI on electronic map
Reflect that user is directed to the demand willingness of different address type；And/or
According to user's operation behavioural analysis user for the indirect feedback of the demand willingness of candidate region, wherein the user's operation
Behavior includes following any：Search operation in route retrieval request and search engine based on electronic map.
11. device according to claim 10, wherein the acquiring unit further includes that passenger flow information obtains subelement, is used
In：
According to the Location Request of user terminal, location data is obtained；And
The Location Request of the candidate region is counted according to the location data；And
The determination unit further includes passenger flow index determination subelement, is used for：
Determine that user is floating population or resident population according to the time of origin of the Location Request of the candidate region；And
Quantity based on the Location Request is that the candidate region counts mobile population amount in addressing index and/or often respectively
Amount in crowd.
12. according to the devices described in claim 11, wherein the acquiring unit further includes that traffic information obtains subelement, is used
In：
The public traffic information within the scope of the different distance of the candidate region is determined based on electronic map；And
The determination unit further includes traffic convenience index determination subelement, is used for：
According to the public traffic information within the scope of the different distance of the candidate region, the addressing index of the candidate region is determined
In traffic convenience index.
13. device according to claim 12, wherein the acquiring unit further includes that store information obtains subelement, is used
In：
Based on the point of interest POI data that electronic map is acquired, various types of store informations of candidate region are obtained；And
The determination unit further includes the similar shop index determination subelement in periphery, is used for：
Clustering is carried out to various types of store informations of the candidate region and counts the quantity in shop of all categories, with true
The similar shop index in periphery in the addressing index of the fixed candidate region.
14. device according to claim 13, wherein the acquiring unit further includes large-scale service location acquisition of information
Unit is used for：
The point of interest POI data and planar data acquired based on electronic map is obtained in candidate region and its preset range
Large-scale service location information, the large size service location includes at least one of following：Community, school, commercial circle, market, large size are super
City, sight spot, hospital.
15. device according to claim 14, wherein the acquiring unit further includes shop type and rent acquisition of information
Subelement is used for：
The shop type and rent information that third party provides are extracted or received via web search；And
The determination unit further includes shop cost index determination subelement, is used for：
According to the shop type and rent information, the shop cost index in the addressing index of the candidate region is determined.
16. according to any devices of claim 9-15, wherein the acquiring unit is additionally operable to：
Electronic map is divided into grid；And
Integration is weighted using as described to the location decision-making information from each grid at a distance from candidate region based on grid
The location decision-making information of candidate region.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510398415.3A CN104965920B (en) | 2015-07-08 | 2015-07-08 | Method and apparatus for determining destination address |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510398415.3A CN104965920B (en) | 2015-07-08 | 2015-07-08 | Method and apparatus for determining destination address |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104965920A CN104965920A (en) | 2015-10-07 |
| CN104965920B true CN104965920B (en) | 2018-09-28 |
Family
ID=54219959
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510398415.3A Active CN104965920B (en) | 2015-07-08 | 2015-07-08 | Method and apparatus for determining destination address |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104965920B (en) |
Families Citing this family (50)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106886517A (en) * | 2015-12-15 | 2017-06-23 | 中国电信股份有限公司 | Business site selecting method, device and system |
| CN105868949B (en) * | 2016-03-31 | 2023-04-07 | 北京星选科技有限公司 | Logistics distribution scheduling method and device |
| CN107730022A (en) * | 2016-08-12 | 2018-02-23 | 中国移动通信集团河北有限公司 | A kind of network point distribution appraisal procedure and device |
| CN106651392A (en) * | 2016-12-07 | 2017-05-10 | 中国联合网络通信集团有限公司 | Intelligent business location selection method, apparatus and system |
| CN106503271A (en) * | 2016-12-14 | 2017-03-15 | 大连大学 | The intelligent shop site selection system of subspace Skyline inquiry under mobile Internet and cloud computing environment |
| CN108287842B (en) * | 2017-01-09 | 2021-04-30 | 北京四维图新科技股份有限公司 | Method and device for preventing cover of navigation map and navigation equipment |
| CN107124476B (en) * | 2017-07-04 | 2020-04-10 | 百度在线网络技术（北京）有限公司 | Information pushing method and device |
| CN108053096A (en) * | 2017-11-22 | 2018-05-18 | 链家网（北京）科技有限公司 | Items in commerce real estate address approach and device |
| CN109903065B (en) * | 2017-12-08 | 2023-05-26 | 阿里巴巴集团控股有限公司 | Method and device for determining candidate scores of candidate points |
| CN109962939B (en) * | 2017-12-14 | 2021-05-04 | 腾讯科技（深圳）有限公司 | Position recommendation method, device, server, terminal and storage medium |
| CN107944767A (en) * | 2017-12-21 | 2018-04-20 | 湖南大学 | Selecting address on building method and its system based on BIM and electronic map |
| CN110008970A (en) * | 2018-01-05 | 2019-07-12 | 北京京东尚科信息技术有限公司 | A kind of address information generation method and device |
| CN110033336B (en) * | 2018-01-11 | 2024-01-16 | 北京京东尚科信息技术有限公司 | Method and device for determining address |
| CN108711106A (en) * | 2018-03-19 | 2018-10-26 | 安徽锐欧赛智能科技有限公司 | A method of investment planning is carried out based on mobile data mining analysis |
| CN108876032A (en) * | 2018-06-12 | 2018-11-23 | 阿里巴巴集团控股有限公司 | A kind of data processing method, device, equipment and the system of object addressing |
| CN108876148B (en) * | 2018-06-19 | 2019-11-05 | 哈尔滨工业大学 | It is a kind of by urban afforestation residue recycling for the purpose of energy landscape operation method |
| CN110675177A (en) * | 2018-07-03 | 2020-01-10 | 百度在线网络技术（北京）有限公司 | Store site selection method and device |
| CN110543999B (en) * | 2018-08-17 | 2024-03-01 | 杉数科技(北京)有限公司 | Method and device for store site selection |
| CN109345130B (en) * | 2018-10-12 | 2021-03-16 | 深圳市和讯华谷信息技术有限公司 | Method and device for commercial site selection, computer equipment and storage medium |
| CN109348488B (en) * | 2018-11-21 | 2022-02-18 | 中国联合网络通信集团有限公司 | Mobile network user perception guarantee method and device |
| CN110009379A (en) * | 2018-11-27 | 2019-07-12 | 阿里巴巴集团控股有限公司 | A kind of building of site selection model and site selecting method, device and equipment |
| CN109242580B (en) * | 2018-11-28 | 2020-12-29 | 北京腾云天下科技有限公司 | Method for determining recommended emporium of target brand in specified city |
| CN109446244B (en) * | 2018-12-06 | 2021-06-25 | 重庆协洽科技有限公司 | Optimized site selection working method through big data mining |
| CN109636040A (en) * | 2018-12-13 | 2019-04-16 | 杭州杰富睿科技有限公司 | A kind of drinking-water point distributed intelligence system |
| CN111340266A (en) * | 2018-12-19 | 2020-06-26 | 中国移动通信集团江西有限公司 | Method, device, equipment and medium for selecting address |
| CN110019568B (en) * | 2019-04-12 | 2022-03-11 | 深圳市和讯华谷信息技术有限公司 | Spatial clustering-based addressing method and device, computer equipment and storage medium |
| CN110111150A (en) * | 2019-05-08 | 2019-08-09 | 拉扎斯网络科技（上海）有限公司 | Information processing method, device, storage medium and electronic equipment |
| CN110321399A (en) * | 2019-06-28 | 2019-10-11 | 京东城市(北京)数字科技有限公司 | The method and apparatus for selecting address |
| CN110288263A (en) * | 2019-07-03 | 2019-09-27 | 北京首汽智行科技有限公司 | It is a kind of that method is determined based on the shared parking of automobile site for being with garage |
| CN110443634A (en) * | 2019-07-08 | 2019-11-12 | 阿里巴巴集团控股有限公司 | The determination method, apparatus and server of the dispensing address of vending machine |
| CN110648161A (en) * | 2019-08-05 | 2020-01-03 | 中移（杭州）信息技术有限公司 | Benefit evaluation method and device for commercial site selection and storage medium |
| CN110503463B (en) * | 2019-08-08 | 2022-06-24 | 江苏荣泽信息科技股份有限公司 | Shop site selection planning method based on chain business state |
| CN110851739B (en) * | 2019-10-28 | 2022-08-12 | 北京虾喜科技有限公司 | Method and system for calling automobile service |
| CN111008803A (en) * | 2019-12-04 | 2020-04-14 | 圆通速递有限公司 | Method and system for selecting sites of stores |
| CN111091417B (en) * | 2019-12-12 | 2023-10-31 | 拉扎斯网络科技（上海）有限公司 | Site selection method and device |
| CN111210158B (en) * | 2020-01-14 | 2023-07-18 | 上海钧正网络科技有限公司 | Target address determining method, device, computer equipment and storage medium |
| CN112330351B (en) * | 2020-02-28 | 2023-09-26 | 北京京东振世信息技术有限公司 | Method for selecting address, address selecting system and electronic equipment |
| CN111383051B (en) * | 2020-03-02 | 2023-05-30 | 杭州比智科技有限公司 | Physical object addressing method, physical object addressing device, computing equipment and computer storage medium |
| CN111598603A (en) * | 2020-03-03 | 2020-08-28 | 深圳前海微众银行股份有限公司 | Warehouse site selection method, device, equipment and storage medium |
| CN111369050B (en) * | 2020-03-03 | 2023-06-16 | 中国民航工程咨询有限公司 | Method and system for selecting site of water airport |
| CN111582985A (en) * | 2020-05-09 | 2020-08-25 | 北京首汽智行科技有限公司 | User recommendation-based shared travel service network point determination method and device |
| CN111694914B (en) * | 2020-06-08 | 2023-08-29 | 北京百度网讯科技有限公司 | Method and device for determining resident area of user |
| CN111598188B (en) * | 2020-06-28 | 2022-05-24 | 腾讯科技（深圳）有限公司 | Method and device for identifying position of target store, storage medium and electronic equipment |
| CN112016969A (en) * | 2020-08-31 | 2020-12-01 | 中国银联股份有限公司 | Method and device for determining target area |
| CN111985576B (en) * | 2020-09-02 | 2023-11-03 | 南宁师范大学 | Shop site selection method based on decision tree |
| CN113779163A (en) * | 2020-11-05 | 2021-12-10 | 北京沃东天骏信息技术有限公司 | Method, device and equipment for processing geographical position information and storage medium |
| CN112734200A (en) * | 2020-12-31 | 2021-04-30 | 贵州省烟草公司六盘水市公司 | Tobacco product retail point planning grid query system and method based on electronic map |
| CN113792107A (en) * | 2021-09-15 | 2021-12-14 | 北京沃东天骏信息技术有限公司 | Region identification method and device |
| CN114461540B (en) * | 2022-04-12 | 2022-07-12 | 湖南三湘银行股份有限公司 | Processing system for address normalization |
| CN114648372A (en) * | 2022-05-23 | 2022-06-21 | 浙江口碑网络技术有限公司 | Data processing method and device, storage medium and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202720677U (en) * | 2011-12-20 | 2013-02-06 | 广州都市圈网络科技有限公司 | Three-dimensional GIS (Global Information System) integrated application platform |
| CN103514290A (en) * | 2013-10-08 | 2014-01-15 | 百度在线网络技术（北京）有限公司 | Electronic map information point acquisition method, acquisition device and server |
| CN103995847A (en) * | 2014-05-06 | 2014-08-20 | 百度在线网络技术（北京）有限公司 | Information search method and device |
| CN104636482A (en) * | 2015-02-16 | 2015-05-20 | 百度在线网络技术（北京）有限公司 | Target address determining method and device |
-
2015
- 2015-07-08 CN CN201510398415.3A patent/CN104965920B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202720677U (en) * | 2011-12-20 | 2013-02-06 | 广州都市圈网络科技有限公司 | Three-dimensional GIS (Global Information System) integrated application platform |
| CN103514290A (en) * | 2013-10-08 | 2014-01-15 | 百度在线网络技术（北京）有限公司 | Electronic map information point acquisition method, acquisition device and server |
| CN103995847A (en) * | 2014-05-06 | 2014-08-20 | 百度在线网络技术（北京）有限公司 | Information search method and device |
| CN104636482A (en) * | 2015-02-16 | 2015-05-20 | 百度在线网络技术（北京）有限公司 | Target address determining method and device |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104965920A (en) | 2015-10-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104965920B (en) | Method and apparatus for determining destination address | |
| JP6141393B2 (en) | Method and apparatus for determining a target position | |
| CN106991576B (en) | Method and device for displaying heat of geographic area | |
| CN103559636B (en) | Restaurant management system based on cloud computing and intelligent analysis | |
| CN104991924B (en) | Method and apparatus for the address for determining new supply centre | |
| CN108414971B (en) | Method and apparatus for determining position information for positions in a multi-storey building | |
| CN106776930B (en) | A kind of location recommendation method incorporating time and geographical location information | |
| CN109376313A (en) | Information recommendation method, device, terminal and storage medium | |
| CN109151890A (en) | A kind of mobile terminal locating method and device | |
| CN108182253A (en) | For generating the method and apparatus of information | |
| CN110008414A (en) | The determination method and apparatus of geography information point | |
| CN107885873A (en) | Method and apparatus for output information | |
| JP2015210681A (en) | Decision-making support system and decision-making support method | |
| CN107710246A (en) | To promote to describe the system and method for the submission of the user images of position | |
| CN108566620A (en) | A kind of indoor orientation method based on WIFI | |
| CN108228593A (en) | Point of interest importance measuring method and device | |
| CN110414613B (en) | Method, device and equipment for clustering regions and computer readable storage medium | |
| CN106060865A (en) | Method for establishing user portrait based on wifi information | |
| Liang et al. | Assessing the validity of SafeGraph data for visitor monitoring in Yellowstone National Park | |
| CN112395486B (en) | Broadband service recommendation method, system, server and storage medium | |
| CN104182486A (en) | Electronic map demonstration method and device | |
| CN110533454B (en) | Method and system for identifying business object group | |
| CN111598188B (en) | Method and device for identifying position of target store, storage medium and electronic equipment | |
| CN108228904A (en) | For the method and apparatus of output information | |
| Jūrmalis et al. | Developing a framework for characterizing recreational potential of forest areas using weighted criteria analysis |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |