CN108197208A - Determining method, apparatus, equipment and the medium of a kind of data reliability - Google Patents
Determining method, apparatus, equipment and the medium of a kind of data reliability Download PDFInfo
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- CN108197208A CN108197208A CN201711460083.2A CN201711460083A CN108197208A CN 108197208 A CN108197208 A CN 108197208A CN 201711460083 A CN201711460083 A CN 201711460083A CN 108197208 A CN108197208 A CN 108197208A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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Abstract
The embodiment of the invention discloses determining method, apparatus, equipment and the media of a kind of data reliability, are related to technical field of data processing.This method includes：The event of input data information is responded, obtains user data, wherein the user data package includes the operating characteristics data during the page source of user and/or user's input data intelligence；The confidence level of the data intelligence is determined according to the user data.The embodiment of the present invention provides a kind of determining method, apparatus, equipment and the medium of data reliability, realize the data intelligence provided user confidence level it is determining.
Description
Technical field
The present embodiments relate to a kind of determining method of technical field of data processing more particularly to data reliability, dresses
It puts, equipment and medium.
Background technology
To map, newer method is tradition, and on-the-spot investigation is carried out by professional, according to investigation result in map
Basic data be updated.But the above method expends higher cost of human resources.Accordingly, it is thus proposed that another kind
Map data updating method, this method rely on user to provide data intelligence, realize the update to electronic map.
Inventor has found in the implementation of the present invention, and user is relied on to provide data intelligence, is realized to electronic map
Newer method, there are following defects：The wrong data information provided using user, it will cause to update the mistake of map.
Therefore, the data intelligence of high confidence level how is extracted from the mass data that user provides, is become with being updated to map
The key of method.
Invention content
The embodiment of the present invention provides a kind of determining method, apparatus, equipment and the medium of data reliability, to realize to user
The confidence level of the data intelligence of offer determines.
In a first aspect, an embodiment of the present invention provides a kind of determining method of data reliability, this method includes：
The event of input data information is responded, obtains user data, wherein the page that the user data package includes user comes
Source and/or user input the operating characteristics data during the data intelligence；
The confidence level of the data intelligence is determined according to the user data.
Further, the operating characteristics data include：User is to provide the stay time of the data intelligence page, user defeated
Enter used time of data intelligence, user the level of zoom of map, response are provided when providing data intelligence data intelligence duration and
At least one of input mode of data intelligence.
Further, the confidence level for determining the data intelligence according to the user data includes：
According to the user data and default marking rule, give a mark to the confidence level of the data intelligence；
According to marking as a result, determining the confidence level of the data intelligence.
Further, according to the user data and default marking rule, the confidence level of the data intelligence is carried out
Before marking, further include：
Adopt rate according to historical data information, determine default marking rule, the wherein association of historical data information
State user data.
Further, it after the confidence level of the data intelligence is determined according to the behavioral data, further includes：
According to the confidence level of the data intelligence, map is updated using the data intelligence.
Second aspect, the embodiment of the present invention additionally provide a kind of determining device of data reliability, which includes：
Acquisition module for responding the event of input data information, obtains user data, wherein the user data package includes
The page source of user and/or user input the operating characteristics data during the data intelligence；
Confidence level module, for determining the confidence level of the data intelligence according to the user data.
Further, the operating characteristics data include：User is to provide the stay time of the data intelligence page, user defeated
Enter used time of data intelligence, user the level of zoom of map, response are provided when providing data intelligence data intelligence duration and
At least one of input mode of data intelligence.
Further, confidence level module includes：
Give a mark unit, for according to the user data and default marking rule, to the confidence level of the data intelligence into
Row marking；
Confidence level unit, for according to marking as a result, determine the data intelligence confidence level.
The third aspect, the embodiment of the present invention additionally provide a kind of equipment, and the equipment includes：
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are performed by one or more of processors so that one or more of processing
Device realizes the determining method of the data reliability as described in any in the embodiment of the present invention.
Fourth aspect, the embodiment of the present invention additionally provide a kind of computer readable storage medium, are stored thereon with computer
Program realizes the determining method of the data reliability as described in any in the embodiment of the present invention when program is executed by processor.
The page source for the user that the embodiment of the present invention passes through extraction and/or user are inputted during the data intelligence
Operating characteristics data determine the confidence level of data intelligence.So as to fulfill from user's dimension to data intelligence input by user can
Reliability is differentiated.And then it solves the problems, such as difficult from data intelligence itself progress Credibility judgement.
Description of the drawings
Fig. 1 is the flow chart of a kind of determining method of data reliability that the embodiment of the present invention one provides；
Fig. 2 is a kind of flow chart of the determining method of data reliability provided by Embodiment 2 of the present invention；
Fig. 3 is that user provided by Embodiment 2 of the present invention is providing the stay time of the data intelligence page and adopting the pass of rate
It is curve graph；
Fig. 4 is user provided by Embodiment 2 of the present invention in the stay time and user's accounting for providing the data intelligence page
Graph of relation；
Fig. 5 is the flow chart of the determining method of another data reliability provided by Embodiment 2 of the present invention；
Fig. 6 is a kind of structure diagram of the determining device for data reliability that the embodiment of the present invention three provides；
Fig. 7 is the structure diagram of a kind of equipment that the embodiment of the present invention four provides.
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 limitation of the invention.It also should be noted that in order to just
Part related to the present invention rather than entire infrastructure are illustrated only in description, attached drawing.
Embodiment one
Fig. 1 is the flow chart of a kind of determining method of data reliability that the embodiment of the present invention one provides.The present embodiment can
Situation about being determined suitable for data are carried out with confidence level.This method can be performed by a kind of determining device of data reliability,
The device can be realized by the mode of software and/or hardware.Referring to Fig. 1, a kind of data reliability provided in this embodiment is really
Determine method, including：
S110, the event for responding input data information obtain user data.
Wherein, data intelligence is the data of user's uploading system, can be word or voice, can also be it
The data of his form.Upload mode can upload data intelligence by mobile terminal (such as mobile phone, tablet computer etc.), also may be used
Be by fixed terminal (such as desktop computer) upload data intelligence.
The user data includes the operation spy during the page source of user and/or user's input data intelligence
Levy data.
The event of input data information can be by upload data-triggered, can also be by modification data-triggered.From triggering mode
Can be the input for setting voice, the click of setting button or input of setting gesture etc..The present embodiment is to input data information
The mode of triggering and triggering of event do not do any restriction.
It, can be with specifically, the page source of user can be certain application program or not find page source
It is web browser.
It wherein, can be by connecting in the application program to current page network if page source is certain application program
The selection connect, realization jump to current page.May be that malicious user uses if page source is not find page source
Certain means have skipped the lookup to its page source.May be that malicious user exists if page source is web browser
In network by way of intercepting address, address is obtained, and open in a browser.
Specifically, operating characteristics data are during user inputs the data intelligence, the feature of user's input behavior
Data.The particular content of operating characteristics data can be determined according to above-mentioned data intelligence.For example, when the data intelligence for needing to input
Content it is more when, then operating characteristics data can be the input duration of data intelligence.
Typically, the operating characteristics data can include：User is providing the stay time of the data intelligence page, user
The used time of input data information, user provide data intelligence duration when providing data intelligence to the level of zoom of map, response
At least one of with the input mode of data intelligence.
On the basis of the above teachings, it is contemplated that the operating characteristics data can also include user's line of input
For other characteristics.The present embodiment is not defined this.
S120, the confidence level that the data intelligence is determined according to the user data.
Specifically, can user be classified as by ordinary user or malicious user according to the user data, then according to general
General family and the corresponding believability threshold of malicious user determine the confidence level of data intelligence.For example, if the page source of user is
The user can be then determined as ordinary user by certain application program；If the page source of user be do not find page source or
The user can be then determined as malicious user by web browser.Wherein, the confidence level of ordinary user with respect to malicious user can
Reliability will height.
Optionally, can also user be classified as by conscientious user or random user according to the user data, then basis
Conscientious user and the corresponding believability threshold of random user determine the confidence level of data intelligence.If for example, user input data feelings
The used time of report is more than setting time threshold value, then the user can be determined as to conscientious user；Otherwise the user is determined as arbitrarily
User.Wherein, the confidence level of the relatively random user of the confidence level of conscientious user will height.
To improve the determining accuracy rate to the confidence level of data intelligence, the data intelligence is determined according to the user data
Confidence level can include：
According to the user data and default marking rule, give a mark to the confidence level of the data intelligence；
According to marking as a result, determining the confidence level of the data intelligence.
Wherein, it presets marking rule and includes at least one user data.
Typically, it presets marking rule to be made of multiple user data and corresponding weight, wherein weight represents its correspondence
User data be used for Credibility judgement significance level.For example, in user data user input data information used time, pair can
The judgement of reliability is important.Therefore, it is weight setting of the used time of user input data information in marking rule is larger.
To obtain accurately default marking rule, according to the user data and default marking rule, to the data
Before the confidence level of information is given a mark, it can also include：
Adopt rate according to historical data information, determine default marking rule, the wherein association of historical data information
State user data.
The technical solution of the embodiment of the present invention inputs the data by the page source of the user of extraction and/or user
Operating characteristics data in information process determine the confidence level of data intelligence.Meanwhile it overcomes the prior art and is only capable of from the number
The technology prejudice of Credibility judgement is carried out according to the angle of information itself, from user's dimension to the credible of data intelligence input by user
Degree is differentiated.And it solves the problems, such as difficult from data intelligence itself progress Credibility judgement.
It is to be appreciated that according to the difference of data intelligence content, the present embodiment can be applied to different application scene.Such as
Risk control to user, the scene according to data intelligence input by user progress respective application.
Typically, using map application as application scenarios, according to the behavioral data determine the data intelligence can
After reliability, further include：
According to the confidence level of the data intelligence, map is updated using the data intelligence.
Specifically, being more than the data intelligence of setting update threshold value according to confidence level, map is updated, so as to improve pair
The accuracy rate of map rejuvenation.
Embodiment two
Fig. 2 is a kind of flow chart of the determining method of data reliability provided by Embodiment 2 of the present invention.The present embodiment is
On the basis of above-described embodiment, by taking application scenarios are map application as an example, a kind of alternative of proposition.Referring to Fig. 2, this reality
The determining method for applying the data reliability of example offer includes：
S210, the event for responding input data information obtain user data.
Wherein described user data package includes the behaviour during the page source of user and/or user's input data intelligence
Make characteristic.The operating characteristics data include：User is providing the stay time of the data intelligence page, user input data
The used time of information, user provide data intelligence duration and data feelings when providing data intelligence to the level of zoom of map, response
At least one of input mode of report.
Specifically, when detect user by the map of map mobile phone terminal or computer end report an error entrance into access customer upload number
During according to the information page, current point in time is recorded, data intelligence page time point is uploaded as into access customer；When detecting user couple
During the selection that data intelligence is submitted, current point in time is recorded, data intelligence page time point is uploaded as user is left.Wherein use
Family will leave user to the selection expression that data intelligence is submitted and upload the data intelligence page.By above-mentioned number is uploaded into access customer
According to information page time point and user's upload data intelligence page time point is left, determines that user is providing the data intelligence page
Stay time.
Obtain user enters user's upload data intelligence page from which page by HTTP Referer, to determine to use
The page source at family.
By detection light target position, realize that user starts in input frame fill message, record current point in time, as
Start input time point；User has filled in the last one input frame namely when cursor leaves the last one input frame, and record is current
Time point, as end input time point.According to input time point is started user input data is determined with input time point is terminated
The used time of information.
When user carries out position modification using map reconnaissance component, user is obtained to map zoom levels.By the rank
It is determined as user when providing data intelligence to the level of zoom of map.And the trigger time for changing map reconnaissance and determine
Time difference between the trigger time that map reconnaissance modification is completed is determined as response and provides data intelligence duration.
Input mode relevant information is extracted in associated information from submitting, the input side of data intelligence is determined according to the information
Formula.Wherein input mode can be manually entered, voice or paste text.
S220, basis adopt rate to historical data information, determine default marking rule, wherein historical data information association
There is the user data.
Specifically, by the statistical analysis for adopting rate to historical data information, default marking rule is determined.Referring to Fig. 3,
Wherein abscissa is stay time of the user in the offer data intelligence page, and ordinate is to adopt rate.As user is providing number
It is incremented by according to the stay time of the information page, adopts rate and gradually rise, user adopted rate and reaches 61% or so at 440 seconds.Root
Adopt rate according to above-mentioned, determine to user in the marking rule for providing the stay time of the data intelligence page.For example, at 440 seconds
User adopts rate highest, therefore user is set in the score value that the stay time for providing the data intelligence page is 420 seconds to 460 seconds
It is higher.
To further improve the accuracy rate of default marking rule, referring to Fig. 4, wherein abscissa is that user is providing data feelings
The stay time of the page is reported, ordinate is the ratio that the user of corresponding stay time accounts for whole user.With reference to it is above-mentioned adopt rate and
The user of corresponding stay time accounts for the ratio of whole user, determines providing beating for the stay time of the data intelligence page to user
Divider is then.
In addition, rate is adopted it is found that mobile phone terminal, which is manually entered, adopts rate height, the remote word of computer end according to historical data information
Corresponding to adopt rate low for input or the big stickup input mode of length.Accordingly, input mode and the end of data intelligence can be combined
End type carries out the setting of marking rule.
It should be noted that the present embodiment is not construed as limiting the execution sequence of S210 and S220, optional S220 can be first
It is performed in S210.
S230, according to the user data and default marking rule, give a mark to the confidence level of the data intelligence.
Wherein, it presets marking rule to be made of multiple user data and corresponding weight, wherein weight represents that its is corresponding
User data is used for the significance level of Credibility judgement.
S240, according to marking as a result, determine the data intelligence confidence level.
Typically, belong to trust data for 70 points or more, 40 to 70 belong to emphasis is needed to audit data, and 20 to 40 belong to
Suspicious data, less than 20 points belong to can not letter data.
S250, the confidence level according to the data intelligence, are updated map using the data intelligence.
Specifically, being more than the data intelligence of setting update threshold value according to confidence level, map is updated.
Referring to Fig. 5, in practical applications, according to operation of the user to the upload data intelligence page, the page of user is obtained
Source, user are providing the stay time of the data intelligence page, the used time of user input data information, user in offer data feelings
Give the correct time the level of zoom of map, response are provided data intelligence duration and data intelligence input mode and user other
Data include title, industry, phone, log-on message etc. as user data, wherein other data；Then by data intelligence and use
User data is sent to server (server), and is stored in the server using Redis databases；To data intelligence and use
User data carries out Classifying Sum；According to the user data after summarizing and corresponding marking rule, confidence level is carried out to data intelligence
Marking, wherein the unlimited marking rule in this present embodiment of marking rule；Confidence level is carried out to data intelligence according to marking result
Classification, classification results are credible class, normal class, suspicious class and insincere class；Carry out ground using data intelligence based on classification results
Figure update.
The technical solution of the embodiment of the present invention by the confidence level according to the data intelligence, utilizes the data intelligence
Map is updated, so as to improve the newer accuracy rate to map.
To further improve the newer accuracy rate to map, on the basis of the present embodiment can in a manner of weighted sum knot
Other strategies are closed, are given a mark to the confidence level of data intelligence.
It should be noted that the technical teaching based on above-described embodiment, those skilled in the art have motivation by above-mentioned implementation
Mode is combined, and data reliability is determined with realizing.
Embodiment three
Fig. 6 is a kind of structure diagram of the determining device for data reliability that the embodiment of the present invention three provides.Referring to figure
6, the determining device of data reliability provided in this embodiment includes：Acquisition module 10 and confidence level module 20.
Wherein, acquisition module 10 for responding the event of input data information, obtain user data, wherein the user
Data include the operating characteristics data during the page source of user and/or user's input data intelligence；
Confidence level module 20, for determining the confidence level of the data intelligence according to the user data.
The technical solution of the embodiment of the present invention inputs the data by the page source of the user of extraction and/or user
Operating characteristics data in information process determine the confidence level of data intelligence.Meanwhile it overcomes the prior art and is only capable of from the number
The technology prejudice of Credibility judgement is carried out according to the angle of information itself, from user's dimension to the credible of data intelligence input by user
Degree is differentiated.And it solves the problems, such as difficult from data intelligence itself progress Credibility judgement.
Further, the operating characteristics data include：User is to provide the stay time of the data intelligence page, user defeated
Enter used time of data intelligence, user the level of zoom of map, response are provided when providing data intelligence data intelligence duration and
At least one of input mode of data intelligence.
Further, confidence level module 20 includes：Marking unit and confidence level unit.
Wherein, marking unit, for regular according to the user data and default marking, to the credible of the data intelligence
Degree is given a mark；
Confidence level unit, for according to marking as a result, determine the data intelligence confidence level.
Further, the determining device of the data reliability, further includes：Regular determining module.
Wherein, regular determining module, for according to the user data and default marking rule, to the data intelligence
Confidence level given a mark before, adopt rate according to historical data information, determine default marking rule, wherein historical data
Information is associated with the user data.
Further, the determining device of the data reliability, further includes：Update module.
Wherein, update module, for after the confidence level of the data intelligence is determined according to the behavioral data, according to
The confidence level of the data intelligence is updated map using the data intelligence.
Example IV
Fig. 7 is the structure diagram of a kind of equipment that the embodiment of the present invention four provides.Fig. 7 shows to be used for realizing this
The block diagram of the example devices 12 of invention embodiment.The equipment 12 that Fig. 7 is shown is only an example, should not be to of the invention real
The function and use scope for applying example bring any restrictions.
As shown in fig. 7, equipment 12 is showed in the form of universal computing device.The component of equipment 12 can include but unlimited
In：One or more processor or processing unit 16, system storage 28, connection different system component (are deposited including system
Reservoir 28 and processing unit 16) bus 18.
Bus 18 represents one or more in a few class bus structures, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using the arbitrary bus structures in a variety of bus structures.It lifts
For example, these architectures include but 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.
Equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be by equipment 12
The usable medium of access, including volatile and non-volatile medium, moveable and immovable medium.
System storage 28 can include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (RAM) 30 and/or cache memory 32.Equipment 12 may further include it is other it is removable/nonremovable,
Volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for reading and writing irremovable
, non-volatile magnetic media (Fig. 7 do not show, commonly referred to as " hard disk drive ").Although being not shown in Fig. 7, use can be provided
In to moving the disc driver of non-volatile magnetic disk (such as " floppy disk ") read-write and to moving anonvolatile optical disk
The CD drive of (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driver can
To be connected by one or more data media interfaces with bus 18.Memory 28 can include at least one program product,
The program product has one group of (for example, at least one) program module, these program modules are configured to perform each implementation of the invention
The function of example.
Program/utility 40 with one group of (at least one) program module 42 can be stored in such as memory 28
In, such program module 42 include but not limited to operating system, one or more application program, other program modules and
Program data may include the realization of network environment in each or certain combination in these examples.Program module 42 is usual
Perform the function and/or method in embodiment described in the invention.
Equipment 12 can also communicate with one or more external equipments 14 (such as keyboard, sensing equipment, display 24 etc.),
Can also be enabled a user to one or more equipment interacted with the equipment 12 communication and/or with enable the equipment 12 with
Any equipment (such as network interface card, modem etc.) communication that one or more of the other computing device communicates.It is this logical
Letter can be carried out by input/output (I/O) interface 22.Also, equipment 12 can also by network adapter 20 and one or
The multiple networks of person (such as LAN (LAN), wide area network (WAN) and/or public network, such as internet) communication.As shown in the figure,
Network adapter 20 is communicated by bus 18 with other modules of equipment 12.It should be understood that it although not shown in the drawings, can combine
Equipment 12 uses other hardware and/or software module, including but not limited to：Microcode, device driver, redundant processing unit,
External disk drive array, RAID system, tape drive and data backup storage system etc..
Processing unit 16 is stored in program in system storage 28 by operation, so as to perform various functions application and
Data processing, such as realize the determining method of data reliability that the embodiment of the present invention is provided.
Embodiment five
The embodiment of the present invention five additionally provides a kind of computer readable storage medium, is stored thereon with computer program,
It is characterized in that, the determining side of the data reliability as described in any in the embodiment of the present invention is realized when which is executed by processor
Method, this method include：
The event of input data information is responded, obtains user data, wherein the page that the user data package includes user comes
Source and/or user input the operating characteristics data during the data intelligence；
The confidence level of the data intelligence is determined according to the user data.
The arbitrary of one or more computer-readable media may be used in the computer storage media of the embodiment of the present invention
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or
Device or arbitrary above combination.The more specific example (non exhaustive list) of computer readable storage medium includes：Tool
There are one or the electrical connections of multiple 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.In this document, computer-readable storage
Medium can be any tangible medium for including or storing program, which can be commanded execution system, device or device
Using or it is in connection.
Computer-readable signal media can include in a base band or as a carrier wave part propagation data-signal,
Wherein carry computer-readable program code.Diversified forms may be used in the data-signal of this propagation, including but it is unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By instruction execution system, device either device use or program in connection.
The program code included on computer-readable medium can be transmitted with any appropriate medium, including --- but it is unlimited
In wireless, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
It can write to perform the computer that operates of the present invention with one or more programming language or combinations
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
It fully performs, partly perform on the user computer on the user computer, the software package independent as one performs, portion
Divide and partly perform or perform 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 LAN (LAN) or
Wide area network (WAN)-be connected to subscriber computer or, it may be connected to outer computer (such as is carried using Internet service
Pass through Internet connection for quotient).
Note that it above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The present invention is not limited to specific embodiment described here, can carry out for a person skilled in the art various apparent variations,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above example to the present invention
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
It can include other more equivalent embodiments, and the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. a kind of determining method of data reliability, which is characterized in that including：
Respond input data information event, obtain user data, wherein the user data package include user page source and/
Or user inputs the operating characteristics data during the data intelligence；
The confidence level of the data intelligence is determined according to the user data.
2. the determining method of data reliability according to claim 1, which is characterized in that the operating characteristics data packet
It includes：User is providing the stay time of the data intelligence page, the used time of user input data information, user in offer data intelligence
When at least one of input mode of data intelligence duration and data intelligence is provided the level of zoom of map, response.
3. the determining method of data reliability according to claim 1, which is characterized in that determined according to the user data
The confidence level of the data intelligence includes：
According to the user data and default marking rule, give a mark to the confidence level of the data intelligence；
According to marking as a result, determining the confidence level of the data intelligence.
4. the determining method of data reliability according to claim 3, which is characterized in that according to the user data and
Default marking rule, before giving a mark to the confidence level of the data intelligence, further includes：
Adopt rate according to historical data information, determine default marking rule, wherein historical data information is associated with the use
User data.
5. the determining method of data reliability according to claim 1, which is characterized in that true according to the behavioral data
After the confidence level of the fixed data intelligence, further include：
According to the confidence level of the data intelligence, map is updated using the data intelligence.
6. a kind of determining device of data reliability, which is characterized in that including：
Acquisition module for responding the event of input data information, obtains user data, wherein the user data package includes user
Page source and/or user input operating characteristics data during the data intelligence；
Confidence level module, for determining the confidence level of the data intelligence according to the user data.
7. the determining device of data reliability according to claim 6, which is characterized in that the operating characteristics data packet
It includes：User is providing the stay time of the data intelligence page, the used time of user input data information, user in offer data intelligence
When at least one of input mode of data intelligence duration and data intelligence is provided the level of zoom of map, response.
8. the determining device of data reliability according to claim 6, which is characterized in that confidence level module includes：
Marking unit, for according to the user data and default marking rule, beating the confidence level of the data intelligence
Point；
Confidence level unit, for according to marking as a result, determine the data intelligence confidence level.
9. a kind of equipment, which is characterized in that the equipment includes：
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are performed by one or more of processors so that one or more of processors are real
The now determining method of the data reliability as described in any in claim 1-5.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The determining method of the data reliability as described in any in claim 1-5 is realized during execution.
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