CN110163209A - Fail POI data method for digging, device, server and storage medium - Google Patents
Fail POI data method for digging, device, server and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of failure POI data method for digging, device, server and storage mediums.This method comprises: determining the feature of candidate POI in target acquisition tasks feature and target pickup area according to the POI acquisition and recording information of target acquisition tasks；According to the feature of candidate POI in the target acquisition tasks feature and target pickup area, the selection failure POI from the candidate POI of target pickup area.Above scheme, which passes through, determines target acquisition tasks feature, it can determine the acquisition quality of target acquisition tasks, by the acquisition quality factor for considering target acquisition tasks during failing POI selection, and by the candidate POI feature more Comprehensive in combining target pickup area failure POI is determined, to improve the Stability and veracity of failure POI acquisition, and may be implemented to determine failure POI by one acquisition, reduce excavating cost.
Description
Technical field
The present embodiments relate to data mining technology field more particularly to a kind of failure POI data method for digging, dress
It sets, server and storage medium.
Background technique
As Internet map is using more and more extensive, POI (Point of Interest, point of interest) data and
Shi Gengxin becomes more and more important.The POI data of update is generally divided into three type of newly-increased data, error correction data and fail data
Type.In all more new data types, for fail data, often it is more difficult to directly collect for judging whether it fails
Evidence, so update difficulty it is relatively large.If fail data updates not in time, it will caused greatly to graphical user
It is inconvenient.Therefore, how in the case where lacking directly proves, it is map that high-volume excavates POI fail data in high quality
A task in data update.
At this stage, in the scheme for determining POI fail data, there is a problem of that accuracy rate is low, and due to repeating to launch
Task carries out data acquisition and causes higher cost.
Summary of the invention
The embodiment of the present invention provides a kind of failure POI data method for digging, device, server and storage medium, to solve
The problem of excavation accuracy rate and stability for the POI data that fails in the prior art are low, higher cost.
In a first aspect, the embodiment of the invention provides a kind of failure POI data method for digging, this method comprises:
According to the POI acquisition and recording information of target acquisition tasks, target acquisition tasks feature and target pickup area are determined
The feature of middle candidate POI；
According to the feature of candidate POI in the target acquisition tasks feature and target pickup area, from target pickup area
Candidate POI in selection failure POI.
Second aspect, the embodiment of the invention provides a kind of failure POI data excavating gear, which includes:
Characteristic determination module determines that target acquisition tasks are special for the POI acquisition and recording information according to target acquisition tasks
The feature of candidate POI in target of seeking peace pickup area；
Fail POI selecting module, for according to candidate POI in the target acquisition tasks feature and target pickup area
Feature, the selection failure POI from the candidate POI of target pickup area.
The third aspect, the embodiment of the invention also provides a kind of server, which includes:
One or more processors；
Memory, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes the failure POI data method for digging as described in any in the embodiment of the present invention.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes the failure POI data method for digging as described in any in the embodiment of the present invention when program is executed by processor.
The embodiment of the present invention determines that target acquisition tasks are special by the POI acquisition and recording information according to target acquisition tasks
The feature of candidate POI in target of seeking peace pickup area；According to candidate in the target acquisition tasks feature and target pickup area
The feature of POI, the selection failure POI from the candidate POI of target pickup area.Above scheme, which passes through, determines that target acquisition tasks are special
Sign, can determine the acquisition quality of target acquisition tasks, by considering target acquisition tasks during failing POI selection
Acquisition quality factor, and by the candidate POI feature more Comprehensive in combining target pickup area failure POI is carried out
It determines, to improve the Stability and veracity of failure POI acquisition, and may be implemented to determine failure POI by one acquisition,
Reduce excavating cost.
Detailed description of the invention
Fig. 1 is the flow chart of one of embodiment of the present invention one failure POI data method for digging；
Fig. 2 is the flow chart of one of embodiment of the present invention two failure POI data method for digging；
Fig. 3 is the schematic diagram that the failure discrimination model in the embodiment of the present invention two is established；
Fig. 4 is one of embodiment of the present invention three failure POI data excavating gear structural schematic diagram；
Fig. 5 is the structural schematic diagram of one of the embodiment of the present invention four server.
Specific embodiment
The present invention 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 the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is the flow chart of one of embodiment of the present invention one failure POI data method for digging.It is provided in this embodiment
The case where failure POI data method for digging is applicable to the POI data in map and is excavated, the POI data of determining failure,
This method can specifically be executed by failure POI data excavating gear, which can be real by the mode of software and/or hardware
Existing, which can integrate in the server, and referring to Fig. 1, the method for the embodiment of the present invention is specifically included:
S110, the POI acquisition and recording information according to target acquisition tasks determine target acquisition tasks feature and target acquisition
The feature of candidate POI in region.
Wherein, the target acquisition tasks are to be appointed by crowdsourcing user to what the POI in target pickup area was acquired
Business, for example, map is divided several 1km*1km according to information such as road networks in the POI data acquisition for carrying out Internet map
Target pickup area, then being acquired to the POI data in each target pickup area for task is distributed into specified crowdsourcing and is used
Family, crowdsourcing user return POI data visible in target pickup area acquisition.The POI acquisition and recording information is to carry out
When target acquisition tasks, the information about target acquisition tasks and the POI data of acquisition recorded, such as performance objective acquisition
The information such as the effective POI data total amount of locating acquisition, the last determining POI data effective time when task.The mesh
Mark acquisition tasks feature can reflect the acquisition quality in target pickup area, can adopting full rate, adopting for target acquisition tasks
At least one feature in the features such as quasi- rate, promptness rate, scale of charges, production consumption rate.The spy of candidate POI in target pickup area
Sign can be used as judge candidate POI whether be failure POI factor.
Specifically, in crowdsourcing user's performance objective acquisition tasks, it can be due to crowdsourcing user's performance objective acquisition tasks
The difference of quality and cause the acquisition accuracy rate of POI data to be affected, it may appear that the accuracy rate of POI data is lower can not be into one
The case where step uses.Therefore, in embodiments of the present invention, the POI according to crowdsourcing user during performance objective acquisition tasks
Acquisition and recording information determines the feature of candidate POI in target acquisition tasks feature and target pickup area, with more fully comprehensive
Consider the influence that the feature of candidate POI in target acquisition tasks feature and target pickup area chooses failure POI.
Optionally, according to the POI acquisition and recording information of target acquisition tasks, candidate POI in target pickup area is determined
Before feature, further includes: if POI is not belonging to the POI set that target acquisition tasks are adopted back on any line in target pickup area,
Using POI on the line as the candidate POI in target pickup area.Specifically, POI is Internet map target pickup area on line
POI existing for Central Plains, if POI is not adopted by crowdsourcing user by target acquisition tasks on line existing for script in target pickup area
It returns, then may be failure POI by POI on the line, therefore using POI on the line as the candidate POI in target pickup area.
S120, according to the feature of candidate POI in the target acquisition tasks feature and target pickup area, acquired from target
Selection failure POI in the candidate POI in region.
Specifically, may be failure POI for the POI not adopted back by crowdsourcing, but failure POI cannot be determined that it is, because
This, in embodiments of the present invention, according to the feature of candidate POI in target acquisition tasks feature and target pickup area, further
Candidate POI is screened, to select failure POI.
Optionally, POI data collection is constructed, and determines candidate POI in target acquisition tasks feature and target pickup area
Feature is trained model to obtain POI failure discrimination model.Illustratively, the failure POI data in nearest three middle of the month is chosen
As positive example data set, the POI that do not fail in nearest three middle of the month is chosen as negative example data set, and will be selected in the data set of building
Take half as training dataset, half is as test data set, combining target acquisition tasks indulgence total energy and target acquisition zone
The feature of candidate POI in domain, to GBDT (Gradient Boosting Decision Tree, gradient promote decision tree) model
It is trained, obtains POI failure discrimination model.
The technical solution of the present embodiment determines that target acquires by the POI acquisition and recording information according to target acquisition tasks
The feature of candidate POI in task feature and target pickup area；According to the target acquisition tasks feature and target pickup area
The feature of middle candidate POI, the selection failure POI from the candidate POI of target pickup area.Above scheme, which passes through, determines target acquisition
Task feature can determine the acquisition quality of target acquisition tasks, by considering target acquisition during failing POI selection
The acquisition quality factor of task, and by the candidate POI feature more Comprehensive in combining target pickup area to failure
POI is determined, to improve the accuracy of failure POI acquisition, prevents accuracy rate by crowdsourcing user's performance objective acquisition tasks
Quality influence, improve stability, and may be implemented by one acquisition i.e. determine failure POI, reduce excavating cost.
Embodiment two
Fig. 2 is the flow chart of one of embodiment of the present invention two failure POI data method for digging.The present embodiment is above-mentioned
It is optimized on the basis of embodiment, the details not being described in detail in the present embodiment is detailed in above-described embodiment.Referring to fig. 2,
Failure POI data method for digging provided in this embodiment may include:
S210, using effective POI in the historical time section target pickup area as auxiliary POI.
Wherein, historical time section can be set as the case may be by technical staff, for example, can be set to recently
In three months, effective POI is the POI of physical presence.For statistics in historical time section, crowdsourcing user adopts target pickup area
The effective POI collected, as auxiliary POI, to determine target acquisition tasks feature.
S220, by the auxiliary POI quantity adopted back in the POI acquisition and recording information and the auxiliary POI quantity that do not adopt back it
Between ratio value, adopt full rate as target acquisition tasks.
In crowdsourcing user when carrying out target acquisition tasks, POI acquisition and recording information is determined, and count POI acquisition and recording
The auxiliary POI quantity adopted back in information and the auxiliary POI quantity that do not adopt back by the quantity of the auxiliary POI adopted back and are not adopted back
The ratio value of quantity of auxiliary POI adopt full rate as target acquisition tasks.Full rate is adopted by determining target acquisition tasks,
To more fully determine the quality of target acquisition tasks, thus in view of target acquisition tasks in the selection of failure POI
Quality can make the failure POI selected more accurate, with a high credibility, and the accuracy rate for the POI that fails not will receive crowdsourcing user acquisition
The different influences of quality, collection result have more stability.
S230, the POI acquisition and recording information according to target acquisition tasks, determine the spy of candidate POI in target pickup area
Sign.
Optionally, according to the POI acquisition and recording information of target acquisition tasks, candidate POI in target pickup area is determined
Feature, comprising: according to the POI acquisition and recording information of target acquisition tasks, determine time belonging to candidate POI in target pickup area
Select industry type；By the candidate industry type, the mapping relations between industry type and variable level are matched, are determined
The candidate variable level of candidate POI.The mapping relations being determined as follows between industry type and variable level: according to working as
In the library preceding map POI fail POI time-to-live and industry type, determine all POI the longest time-to-live and the row
The mean survival time of POI under industry type；According under the longest time-to-live of all POI and the industry type POI it is flat
The equal time-to-live determines the variable level of the industry type.
Illustratively, the failure POI in the library current map POI is chosen, according to the creation time of failure POI and out-of-service time
Determine the time-to-live of failure POI, statistics obtains longest time-to-live m, then determines the industry type of failure POI, determines each
The mean survival time t of the failure POI of industry typei.For i kind industry type, with being averaged for the failure POI of the sector type
Time-to-live divided by longest time-to-live m, obtains the variable level k of the sector typei=ti/m.It is determined according to above scheme each
The corresponding variable level of a industry type, forms the mapping relations between industry type and variable level.It is acquired in crowdsourcing user
After obtaining the candidate POI of target pickup area, industry type belonging to candidate POI is determined, further according to industry type and easily
Mapping relations between change degree determine the candidate variable level of candidate POI.It, can be more by determining candidate variable level
Comprehensively speculate candidate POI failure a possibility that, so as to it is more acurrate, have according to property judge candidate POI whether be fail POI.
Optionally, according to the POI acquisition and recording information of target acquisition tasks, candidate POI in target pickup area is determined
Feature, comprising: according to the candidate position POI and area size, determine candidate's POI auxiliary area；According to the target acquisition tasks
POI acquisition and recording information, the POI quantity adopted back in candidate's POI auxiliary area is determined, near candidate POI
Recycle quantity.
Illustratively, the position of candidate POI is determined, and according to the geographical location of target pickup area and area size, it will
Target pickup area near the candidate position POI in specified range is determined as candidate POI auxiliary area, wherein nearby specifies model
Enclosing can be by technical staff's sets itself, such as can be set to using the candidate position POI as the center of circle, and 20m is the circumference model of radius
It encloses.The further POI quantity that crowdsourcing user of the statistics in POI auxiliary area adopts back, as recycling number near candidate POI
Amount.
Optionally, according to the POI acquisition and recording information of target acquisition tasks, candidate POI in target pickup area is determined
Feature, comprising: according to the POI acquisition and recording information of the target acquisition tasks, determine goal task acquisition trajectories；It will be candidate
Acquisition trajectories distance of the position POI the distance between to the goal task acquisition trajectories, as candidate POI.
Illustratively, the track mobile when crowdsourcing user's performance objective acquisition tasks be as goal task acquisition trajectories,
Calculate the candidate position POI to target acquisition tasks acquisition trajectories distance of the distance as candidate POI.Optionally, it calculates candidate
The position POI is to the shortest straight line distance between acquisition trajectories, using shortest straight line distance as the acquisition trajectories distance of candidate POI.
Optionally, according to the POI acquisition and recording information of target acquisition tasks, candidate POI in target pickup area is determined
Feature, comprising: match the candidate position POI with construction zone in road network and/or road area, and according to matching result
Determine the task type of candidate POI.
Illustratively, in order to judge the task type of candidate POI further more fully to determine whether it is failure
POI matches the position of candidate POI with construction zone in road network and/or road area, so that it is determined that candidate POI
Task type, task type may include: face task, line task and point task.For example, if candidate POI is in basic atural object, i.e.,
At building, then task type is face task, if candidate POI is near road or road network, task type belongs to line task,
Other situations then determine that task type is point task.
Quantity, acquisition trajectories distance and task type are recycled near candidate POI by determining, can further be judged
Whether failure POI in small range region is missed, to more accurately determine failure POI from candidate POI.
Optionally, further includes: for the POI not failed, statistics does not fail according to recent determine that it is of current time
The verification time of POI subtracts the verification time with current time, obtains verification time interval.
Optionally, further includes: count the number that each POI is clicked in Internet map by user within nearest specified time
Amount, wherein specified time can be by technical staff's sets itself, such as can be set in 30 days.
It should be noted that in embodiments of the present invention, S203 can be executed after S202, it can also be before S201
It executes, specific execution step, which can according to need, to be adjusted, and is not especially limited.
S240, according to the feature of candidate POI in the target acquisition tasks feature and target pickup area, acquired from target
Selection failure POI in the candidate POI in region.
Optionally, as shown in figure 3, the failure POI data for choosing nearest three middle of the month is chosen nearest as positive example data set
The POI that do not fail in three middle of the month constructs data set as negative example data set, then determine data adopt full rate, variable level, near
It recycles in the features such as quantity, acquisition trajectories distance, task type, verification time interval, click volume in nearest specified time
At least one feature is trained GBDT model according at least one feature in features above, obtains failure discrimination model.
Optionally, each feature can be with for the significance level sequence of model training are as follows: adopts full rate, verification time interval, variable level, point
The amount of hitting nearby recycles quantity, task type, acquisition trajectories distance.It can be by the way that the different weighted values of different characteristic be arranged with reality
Different significance levels of the existing different characteristic to model training.For candidate POI, its correlated characteristic is calculated, and is input to mistake
Discrimination model is imitated, to obtain failure POI.The quality that target acquisition tasks are known by adopting full rate, in conjunction with the spy of candidate POI
Sign and failure discrimination model is comprehensive judge whether candidate POI does not fail POI, improves the accuracy for POI differentiation of failing
And stability, and only need crowdsourcing user to carry out one acquisition can to obtain accurate judging result, save failure POI
The cost of data mining.
The technical solution of the embodiment of the present invention adopts full rate by determining target acquisition tasks, to know that target acquires
The quality of task, further by combine adopt full rate, variable level, nearby recycle quantity, acquisition trajectories distance, task type,
At least one feature in verification time interval, the click volume in nearest specified time differentiates candidate POI, thus more complete
Face, synthesis accurately obtain failure POI in candidate POI, improve the Stability and veracity that failure POI is determined, and reduce
Cost.
Embodiment three
Fig. 4 is a kind of failure POI data excavating gear structural schematic diagram that the embodiment of the present invention three provides.The device is applicable in
The case where POI data in map is excavated, and determines the POI data of failure, which can be by software and/or hardware
It realizes, and can specifically integrate in the server.Referring to fig. 4, which specifically includes:
Characteristic determination module 310 determines that target acquisition is appointed for the POI acquisition and recording information according to target acquisition tasks
The feature of candidate POI in feature of being engaged in and target pickup area；
Fail POI selecting module 320, for according to candidate in the target acquisition tasks feature and target pickup area
The feature of POI, the selection failure POI from the candidate POI of target pickup area.
Optionally, the characteristic determination module 310, comprising:
POI determination unit is assisted, for using effective POI in the historical time section target pickup area as auxiliary
POI；
Full rate determination unit is adopted, for not adopting back the auxiliary POI quantity adopted back in the POI acquisition and recording information and
The ratio value between POI quantity is assisted, adopts full rate as target acquisition tasks.
Optionally, the characteristic determination module 310, further includes:
Candidate industry type determining units determine that target is adopted for the POI acquisition and recording information according to target acquisition tasks
Collect candidate industry type belonging to candidate POI in region；
Candidate variable level determination unit is used for by the candidate industry type, between industry type and variable level
Mapping relations matched, determine candidate POI candidate variable level.
Optionally, the mapping relations being determined as follows between industry type and variable level:
According to the time-to-live for the POI that fails in the library current map POI and industry type, the longest survival of all POI is determined
The mean survival time of POI under time and the industry type；
According to the mean survival time of POI under the longest time-to-live of all POI and the industry type, institute is determined
State the variable level of industry type.
Optionally, the characteristic determination module 310, further includes:
Candidate POI auxiliary area determination unit, for determining candidate POI auxiliary according to the candidate position POI and area size
Region；
Quantity determination unit is recycled, for the POI acquisition and recording information according to the target acquisition tasks, is determined described
The POI quantity adopted back in candidate POI auxiliary area, as recycling quantity near candidate POI.
Optionally, the characteristic determination module 310, further includes:
Acquisition trajectories determination unit determines that target is appointed for the POI acquisition and recording information according to the target acquisition tasks
Business acquisition trajectories；
Trajectory distance determination unit, for making the distance between candidate position POI to the goal task acquisition trajectories
For the acquisition trajectories distance of candidate POI.
Optionally, the characteristic determination module 310, further includes:
Task type determination unit, for carrying out construction zone in the candidate position POI and road network and/or road area
Matching, and according to the task type of the determining candidate POI of matching result.
Optionally, further includes:
Candidate POI determination unit, if POI is not belonging to target acquisition tasks and adopts back on any line in target pickup area
POI set, then using POI on the line as the candidate POI in target pickup area.
The technical solution of the embodiment of the present invention, characteristic determination module according to the POI acquisition and recording information of target acquisition tasks,
Determine the feature of candidate POI in target acquisition tasks feature and target pickup area；The POI selecting module that fails is according to the target
The feature of candidate POI in acquisition tasks feature and target pickup area selects failure from the candidate POI of target pickup area
POI.Above scheme, which passes through, determines target acquisition tasks feature, can determine the acquisition quality of target acquisition tasks, by losing
The acquisition quality factor of target acquisition tasks is considered during imitating POI selection, and passes through the time in combining target pickup area
It selects POI feature to be determined failure POI, to improve the accuracy of failure POI acquisition, prevents accuracy rate from being held by crowdsourcing user
The influence of the quality of row target acquisition tasks, improves stability, and may be implemented to determine failure POI by one acquisition,
Reduce excavating cost.
Example IV
Fig. 5 is a kind of structural schematic diagram for server that the embodiment of the present invention four provides.Fig. 5, which is shown, to be suitable for being used to realizing
The block diagram of the exemplary servers 412 of the embodiment of the present invention.The server 412 that Fig. 5 is shown is only an example, should not be to this
The function and use scope of inventive embodiments bring any restrictions.
As shown in figure 5, server 412 includes: one or more processors 416；Memory 428, for store one or
Multiple programs, when one or more of programs are executed by one or more of processors 416, so that one or more of
Processor 416 realizes the POI data method for digging that fails provided by the embodiment of the present invention, comprising:
According to the POI acquisition and recording information of target acquisition tasks, target acquisition tasks feature and target pickup area are determined
The feature of middle candidate POI；
According to the feature of candidate POI in the target acquisition tasks feature and target pickup area, from target pickup area
Candidate POI in selection failure POI.
It is showed in the form of generic server.The component of server 412 can include but is not limited to: at one or more
Device or processor 416, system storage 428 are managed, different system components (including system storage 428 and processor are connected
416) bus 418.
Bus 418 indicates one of a few class bus structures or a variety of, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.It lifts
For example, these architectures include but is not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)
Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Server 412 typically comprises various computing systems readable storage medium storing program for executing.These storage mediums can be any
The usable storage medium that can be accessed by server 412, including volatile and non-volatile storage medium, movably and can not
Mobile storage medium.
System storage 428 may include the computer system-readable storage medium of form of volatile memory, such as with
Machine accesses memory (RAM) 430 and/or cache memory 432.Server 412 may further include it is other it is removable/
Immovable, volatile/non-volatile computer system storage medium.Only as an example, storage system 434 can be used for reading
Write immovable, non-volatile magnetic storage medium (Fig. 5 do not show, commonly referred to as " hard disk drive ").Although not showing in Fig. 5
Out, the disc driver for reading and writing to removable non-volatile magnetic disk (such as " floppy disk ") can be provided, and to removable
The CD drive of anonvolatile optical disk (such as CD-ROM, DVD-ROM or other optical storage medias) read-write.In these situations
Under, each driver can be connected by one or more data storage medium Interface & Bus 418.Memory 428 can be with
Including at least one program product, which has one group of (for example, at least one) program module, these program module quilts
It configures to execute the function of various embodiments of the present invention.
Program/utility 440 with one group of (at least one) program module 442, can store in such as memory
In 428, such program module 462 includes but is not limited to operating system, one or more application program, other program modules
And program data, it may include the realization of network environment in each of these examples or certain combination.Program module 462
Usually execute the function and/or method in embodiment described in the invention.
Server 412 (such as keyboard, can also be directed toward server, display with one or more external servers 414
426 etc.) it communicates, can also enable a user to the server communication interacted with the server 412 with one or more, and/or with
Any server (such as network interface card, the modulation that the server 412 is communicated with one or more of the other calculation server
Demodulator etc.) communication.This communication can be carried out by input/output (I/O) interface 422.Also, server 412 may be used also
To pass through network adapter 420 and one or more network (such as local area network (LAN), wide area network (WAN) and/or public network
Network, such as internet) communication.As shown, network adapter 420 is logical by bus 418 and other modules of server 412
Letter.It should be understood that server 412 can be combined using other hardware and/or software module although being not shown in Fig. 5, including but
It is not limited to: microcode, server driver, redundant processing unit, external disk drive array, RAID system, tape drive
And data backup storage system etc..
Processor 416 by other programs in multiple programs for being stored in system storage 428 of operation at least one,
Thereby executing various function application and data processing, such as realize a kind of failure POI data provided by the embodiment of the present invention
Method for digging, comprising:
According to the POI acquisition and recording information of target acquisition tasks, target acquisition tasks feature and target pickup area are determined
The feature of middle candidate POI；
According to the feature of candidate POI in the target acquisition tasks feature and target pickup area, from target pickup area
Candidate POI in selection failure POI.
Embodiment five
The embodiment of the present invention five additionally provides a kind of storage medium comprising computer executable instructions, and the computer can
It executes instruction when being executed by computer processor for executing a kind of failure POI data method for digging:
According to the POI acquisition and recording information of target acquisition tasks, target acquisition tasks feature and target pickup area are determined
The feature of middle candidate POI；
According to the feature of candidate POI in the target acquisition tasks feature and target pickup area, from target pickup area
Candidate POI in selection failure POI.
The computer storage medium of the embodiment of the present invention, can be using one or more computer-readable storage mediums
Any combination.Computer readable storage medium can be computer-readable signal storage medium or computer-readable storage medium
Matter.Computer readable storage medium for example may be-but not limited to-electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor
System, device or device, or any above combination.The more specific example of computer readable storage medium is (non exhaustive
List) include: electrical connection with one or more conducting wires, portable computer diskette, hard disk, random access memory
(RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc
Read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.Of the invention real
It applies in example, it includes or the tangible media of storage program that the program can be by that computer readable storage medium, which can be any,
Instruction execution system, device or device use or in connection.
Computer-readable signal storage medium may include in a base band or as carrier wave a part propagate data
Signal, wherein carrying computer-readable program code.The data-signal of this propagation can take various forms, including but
It is not limited to electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal storage medium can also be
Any computer readable storage medium other than computer readable storage medium, which can send,
It propagates or transmits for by the use of instruction execution system, device or device or program in connection.
The program code for including on computer readable storage medium can be transmitted with any storage medium appropriate, packet
Include --- but it is not limited to wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully executes, partly execute on the user computer on the user computer, being executed as an independent software package, portion
Divide and partially executes or executed on a remote computer or server completely on the remote computer on the user computer.?
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as mentioned using Internet service
It is connected for quotient by internet).
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (11)
1. a kind of failure POI data method for digging, which is characterized in that the described method includes:
According to the POI acquisition and recording information of target acquisition tasks, determines and waited in target acquisition tasks feature and target pickup area
Select the feature of POI；
According to the feature of candidate POI in the target acquisition tasks feature and target pickup area, from the time of target pickup area
Select selection failure POI in POI.
2. the method according to claim 1, wherein according to the POI acquisition and recording information of target acquisition tasks, really
The acquisition tasks that set the goal feature, comprising:
Using effective POI in the historical time section target pickup area as auxiliary POI；
By the ratio between the auxiliary POI quantity adopted back in the POI acquisition and recording information and the auxiliary POI quantity that do not adopt back
Value, adopts full rate as target acquisition tasks.
3. the method according to claim 1, wherein according to the POI acquisition and recording information of target acquisition tasks, really
The feature of candidate POI in the pickup area that sets the goal, comprising:
According to the POI acquisition and recording information of target acquisition tasks, candidate industry belonging to candidate POI in target pickup area is determined
Type；
By the candidate industry type, the mapping relations between industry type and variable level are matched, and determine candidate POI
Candidate variable level.
4. according to the method described in claim 3, it is characterized in that, be determined as follows industry type and variable level it
Between mapping relations:
According to the time-to-live for the POI that fails in the library current map POI and industry type, the longest time-to-live of all POI is determined,
And under the industry type POI mean survival time；
According to the mean survival time of POI under the longest time-to-live of all POI and the industry type, the row is determined
The variable level of industry type.
5. the method according to claim 1, wherein according to the POI acquisition and recording information of target acquisition tasks, really
The feature of candidate POI in the pickup area that sets the goal, comprising:
According to the candidate position POI and area size, candidate's POI auxiliary area is determined；
It is adopted back in candidate's POI auxiliary area according to the POI acquisition and recording information of the target acquisition tasks, determination
POI quantity, as recycling quantity near candidate POI.
6. the method according to claim 1, wherein according to the POI acquisition and recording information of target acquisition tasks, really
The feature of candidate POI in the pickup area that sets the goal, comprising:
According to the POI acquisition and recording information of the target acquisition tasks, goal task acquisition trajectories are determined；
Acquisition trajectories distance by the distance between candidate position POI to the goal task acquisition trajectories, as candidate POI.
7. the method according to claim 1, wherein according to the POI acquisition and recording information of target acquisition tasks, really
The feature of candidate POI in the pickup area that sets the goal, comprising:
The candidate position POI is matched with construction zone in road network and/or road area, and is determined and is waited according to matching result
Select the task type of POI.
8. the method according to claim 1, wherein according to the POI acquisition and recording information of target acquisition tasks, really
In the pickup area that sets the goal before the feature of candidate POI, further includes:
If POI is not belonging to the POI set that target acquisition tasks are adopted back on any line in target pickup area, by POI on the line
As the candidate POI in target pickup area.
9. a kind of failure POI data excavating gear, which is characterized in that described device includes:
Characteristic determination module, for the POI acquisition and recording information according to target acquisition tasks, determine target acquisition tasks feature and
The feature of candidate POI in target pickup area；
Fail POI selecting module, for the spy according to candidate POI in the target acquisition tasks feature and target pickup area
Sign, the selection failure POI from the candidate POI of target pickup area.
10. a kind of server, which is characterized in that the server includes:
One or more processors；
Memory, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
Now such as a kind of failure POI data method for digging described in any one of claims 1-8.
11. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
A kind of such as failure POI data method for digging described in any one of claims 1-8 is realized when execution.
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