CN110197378A - The recognition methods and device that cheating department multiplies in network about parking lot scape - Google Patents
The recognition methods and device that cheating department multiplies in network about parking lot scape Download PDFInfo
- Publication number
- CN110197378A CN110197378A CN201810161135.4A CN201810161135A CN110197378A CN 110197378 A CN110197378 A CN 110197378A CN 201810161135 A CN201810161135 A CN 201810161135A CN 110197378 A CN110197378 A CN 110197378A
- Authority
- CN
- China
- Prior art keywords
- cheating
- passenger
- vehicle
- driver
- identified
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000012795 verification Methods 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 8
- 230000005055 memory storage Effects 0.000 claims description 3
- 230000008569 process Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 10
- 230000000694 effects Effects 0.000 description 4
- 238000012216 screening Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000004590 computer program Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 239000013589 supplement Substances 0.000 description 2
- 230000001413 cellular effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000000686 essence Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/02—Reservations, e.g. for tickets, services or events
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
- G06Q30/0185—Product, service or business identity fraud
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Marketing (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Human Resources & Organizations (AREA)
- Entrepreneurship & Innovation (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application provides the recognition methods and device that cheating department multiplies in a kind of network about parking lot scape.This method comprises: the cheating driver in identification network about parking lot scape；Obtain the target passenger that about vehicle order is completed with the cheating driver identified；Identify whether the target passenger is cheating passenger according to preset strategy.The available target passenger that about vehicle order is completed with the cheating driver identified of the application, and identify whether the target passenger is cheating passenger according to preset strategy, to efficiently and accurately identify cheating passenger based on cheating driver, simple, strong applicability is realized.
Description
Technical field
This application involves the identification sides that cheating department in Internet technical field more particularly to a kind of network about parking lot scape multiplies
Method and device.
Background technique
With the fast development of Internet technology, about with it, conveniently advantage has come into people's lives to vehicle software.
About vehicle platform can provide subsidy to improve the enthusiasm of driver's order for the driver of order.Due to the presence of subsidy, part
Driver initiates false about vehicle order, then again by way of order to gain subsidy, the benefit of serious damage about vehicle platform by cheating
Benefit.How efficiently and accurately to identify that the driver and passenger of cheating has become current urgent problem to be solved.
Summary of the invention
In view of this, the application provides the recognition methods and device that cheating department multiplies in a kind of network about parking lot scape.
Specifically, the application is achieved by the following technical solution:
The recognition methods that cheating department multiplies in a kind of network about parking lot scape, comprising:
Identify the cheating driver in network about parking lot scape；
Obtain the target passenger that about vehicle order is completed with the cheating driver identified；
Identify whether the target passenger is cheating passenger according to preset strategy.
The identification device that cheating department multiplies in a kind of network about parking lot scape, comprising:
Driver's recognition unit identifies the cheating driver in network about parking lot scape；
Passenger's acquiring unit obtains the target passenger that about vehicle order is completed with the cheating driver identified；
Passenger's recognition unit identifies whether the target passenger is cheating passenger according to preset strategy.
The identification device that cheating department multiplies in a kind of network about parking lot scape, comprising:
Processor；
For storing the memory of machine-executable instruction；
Wherein, it is patrolled by reading and executing the identification of the memory storage multiplied with cheating department in network about parking lot scape
Corresponding machine-executable instruction is collected, the processor is prompted to:
Identify the cheating driver in network about parking lot scape；
Obtain the target passenger that about vehicle order is completed with the cheating driver identified；
Identify whether the target passenger is cheating passenger according to preset strategy.
A kind of computer readable storage medium is stored with computer program on the computer readable storage medium, the journey
It is performed the steps of when sequence is executed by processor
Identify the cheating driver in network about parking lot scape；
Obtain the target passenger that about vehicle order is completed with the cheating driver identified；
Identify whether the target passenger is cheating passenger according to preset strategy.
The application is available it can be seen from above description completes about vehicle order with the cheating driver identified
Target passenger, and identify whether the target passenger is cheating passenger according to preset strategy, to be had based on cheating driver
Effect accurately identifies cheating passenger, realizes simple, strong applicability.
Detailed description of the invention
Fig. 1 is the recognition methods that cheating department multiplies in a kind of network about parking lot scape shown in one exemplary embodiment of the application
Flow diagram.
Fig. 2 is a kind of flow diagram of the method for acquisition target passenger shown in one exemplary embodiment of the application.
Fig. 3 is whether a kind of identification target passenger shown in one exemplary embodiment of the application is the method for passenger of practising fraud
Flow diagram.
Fig. 4 is a kind of identification multiplied for cheating department in network about parking lot scape shown in one exemplary embodiment of the application
One structural schematic diagram of device.
Fig. 5 is the identification device that cheating department multiplies in a kind of network about parking lot scape shown in one exemplary embodiment of the application
Block diagram.
Specific embodiment
Example embodiments are described in detail here, and the example is illustrated in the accompanying drawings.Following description is related to
When attached drawing, unless otherwise indicated, the same numbers in different drawings indicate the same or similar elements.Following exemplary is implemented
Embodiment described in example does not represent all embodiments consistent with the application.On the contrary, they are only and such as institute
The example of the consistent device and method of some aspects be described in detail in attached claims, the application.
It is only to be not intended to be limiting the application merely for for the purpose of describing particular embodiments in term used in this application.
It is also intended in the application and the "an" of singular used in the attached claims, " described " and "the" including more
Number form formula, unless the context clearly indicates other meaning.It is also understood that term "and/or" used herein refers to simultaneously
It may be combined comprising one or more associated any or all of project listed.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the application
A little information should not necessarily be limited by these terms.These terms are only used to for same type of information being distinguished from each other out.For example, not taking off
In the case where the application range, the first information can also be referred to as the second information, and similarly, the second information can also be claimed
For the first information.Depending on context, word as used in this " if " can be construed to " ... when " or
" when ... " or " in response to determination ".
The application provides the recognition methods that cheating department multiplies in a kind of network about parking lot scape, which can apply
About Che Pingtai, the physical support of the about vehicle platform are typically about the server or server set of vehicle service provider deployment
Group.Certainly, the recognition methods that cheating department multiplies in the network about parking lot scape can also be applied in about vehicle client, the application couple
This is not particularly limited.
Fig. 1 is the recognition methods that cheating department multiplies in a kind of network about parking lot scape shown in one exemplary embodiment of the application
Flow diagram.
Referring to FIG. 1, by taking the recognition methods that cheating department multiplies in the network about parking lot scape is applied in about vehicle platform as an example,
This method may comprise steps of:
Step 102, the cheating driver in identification network about parking lot scape.
In the present embodiment, for the driver of network about vehicle service is provided, it can be identified, to identify that it is
No is cheating driver.
The identifying schemes of above-mentioned cheating driver can refer to the relevant technologies, such as: about vehicle can be being fulfiled according to driver's client
Whether the location information identification net Yue Che driver uploaded in order process is cheating driver；It can also stepping on according to driver's client
Whether record information and security information identification net Yue Che driver are cheating driver etc., and the application is not particularly limited this.
Step 104, the target passenger that about vehicle order is completed with the cheating driver identified is obtained.
In the present embodiment, for the cheating driver identified, the available mesh for completing about vehicle order together
Scalar multiplication visitor.
For example, can regard all passengers for completing about vehicle order jointly with the cheating driver as target passenger.
In another example preliminary screening can be carried out to all passengers for completing about vehicle order jointly with the cheating driver, it will
A portion passenger is not particularly limited this as target passenger, the application.
It is worth noting that, the about vehicle order that the cheating driver identified in this step completes can be the cheating department
All about vehicle orders after machine operation network about vehicle；The about vehicle order being also possible in predetermined amount of time, such as: nearly 3 months pacts
Vehicle order, nearly 6 months about vehicle order etc..By taking above-mentioned about vehicle order is nearly 3 months about vehicle orders as an example, this step can be with
Obtain the target passenger that nearly 3 months about vehicle orders are completed with the cheating driver that has identified.
Step 106, identify whether the target passenger is cheating passenger according to preset strategy.
The application is available it can be seen from above description completes about vehicle order with the cheating driver identified
Target passenger, and identify whether the target passenger is cheating passenger according to preset strategy, to be had based on cheating driver
Effect accurately identifies cheating passenger, realizes simple, strong applicability.
Fig. 2 is a kind of flow diagram of the method for acquisition target passenger shown in one exemplary embodiment of the application.
Referring to FIG. 2, obtaining the method for completing the about target passenger of vehicle order with the cheating driver identified can wrap
Include following steps:
Step 202, the about vehicle passenger that about vehicle order is completed with the cheating driver identified is obtained.
In the present embodiment, available for the cheating driver identified by taking nearly 3 months about vehicle orders as an example
All passengers for completing about vehicle order jointly at nearly 3 months with it, as about vehicle passenger.
Step 204, for each about vehicle passenger, calculate what the about vehicle passenger completed with the cheating driver identified
About vehicle quantity on order.
Based on abovementioned steps 202, for each about vehicle passenger, can calculate this about nearly 3 months of vehicle passenger with identified
Cheating driver complete about vehicle quantity on order.Wherein, the cheating driver in this step includes but is not limited to abovementioned steps 202
In cheating driver.
As an example it is assumed that Zhang San, Li Si, 53 people of king are the cheating driver identified, obtain and make in step 202
The small A of about vehicle passenger of disadvantage driver Zhang San.In this step, its nearly 3 months and Zhang San, Li Si or king 53 can be obtained for small A
People completes the total quantity of about vehicle order.Again it is assumed that small A completed about 5 list of vehicle order with Zhang San at nearest 3 months, completed with Li Si
About vehicle order 3 is single, completes the about vehicle order numbers that about vehicle order 10 is single, then small A is completed with the cheating driver identified with king five
Amount is 18.
Step 206, when the about vehicle quantity on order is greater than amount threshold, the about vehicle passenger is determined as target and is multiplied
Visitor.
It, can be by itself and preset quantity threshold after the about vehicle quantity on order is calculated based on abovementioned steps 204
Value is compared.
If the about vehicle quantity on order is greater than amount threshold, it can illustrate that the about vehicle passenger and identified cheating driver is complete
At about vehicle order it is more, about vehicle passenger may be cheating passenger for this, and then can determine it as target passenger, subsequent to it
Further identified.
If the about vehicle quantity on order is not more than amount threshold, it can illustrate about the vehicle passenger and identified cheating driver
The about vehicle quantity on order of completion in the normal range, without further being identified as target passenger, is set to save
Standby process resource.
Above-mentioned amount threshold can be configured by developer.Optionally, an initial number threshold can be preset
Value, subsequent after identifying cheating passenger, the about vehicle order numbers that can be completed according to cheating passenger with the cheating driver identified
Amount is adjusted above-mentioned amount threshold, to ensure the accuracy of amount threshold.
In addition to embodiment shown in Fig. 2, in practical applications, can also using other modes with identified
Cheating driver complete the screening that target passenger is carried out about in the about vehicle passenger of vehicle order, such as: can also be according to about vehicle passenger
The frequency that about vehicle order is completed with the cheating driver identified is screened, and the application is not particularly limited this.
The application can be to the about vehicle for completing about vehicle order with the cheating driver identified it can be seen from above description
Passenger screens, can effectively save equipment to screen a part about vehicle passenger as the subsequent identification of target passenger progress
Process resource.
Fig. 3 is whether a kind of identification target passenger shown in one exemplary embodiment of the application is the method for passenger of practising fraud
Flow diagram.
Referring to FIG. 3, according to it is preset strategy identification target passenger whether be practise fraud passenger method may include following
Step:
Step 302, according to the history of target passenger about vehicle order, the cheating scoring of the target passenger is calculated.
It in the present embodiment, can be with for each target passenger for completing about vehicle order with the cheating driver identified
According to the order information of its history about vehicle order, its cheating scoring is calculated.
In one example, following formula can be used by calculating cheating scoring:
S=N × ln (M)
Wherein, S is cheating scoring, and M is the about vehicle quantity on order that target passenger completes, and N is the described of target passenger completion
The quantity of the cheating driver about identified in vehicle order.
It is understood that target passenger completes in the case where the about vehicle quantity on order M that target passenger completes is constant
The about vehicle order in identified cheating driver quantity N it is more, target passenger be practise fraud passenger probability get over
It is high.With reference to above-mentioned formula, in the case where M is constant, cheating scoring S is increasing function, i.e. N is bigger, and the value of S is bigger.
Similar, the quantity N of the cheating driver identified in the about vehicle order that target passenger completes constant situation
Under, the about vehicle quantity on order M that target passenger completes is more, and target passenger is that the probability of cheating passenger is higher.With reference to above-mentioned public affairs
Formula, in the case where N is constant, cheating scoring S is also increasing function, i.e. M is bigger, and the value of S is bigger.
It can thus be seen that above-mentioned formula can accurately reflect that target passenger is the probability of cheating passenger.Using upper
Formula is stated, the cheating scoring of each target passenger can be calculated separately.
It is worth noting that, the about vehicle order that above-mentioned target passenger completes is also possible to the about vehicle completed in its nearly 3 months
Order, the application are not particularly limited this.In the entirely identification process of cheating passenger, about vehicle order can be unified and obtained
The time limit is taken, such as: it is unified for nearly 3 months, nearly 6 months etc., it is subsequent no longer to repeat one by one.
It should be noted that above-mentioned formula in other examples, can also be adopted using using e as the logarithmic function at bottom
To 10 be bottom or using other greater than 1 numerical value as the logarithmic function at bottom, the application is not particularly limited this.
In addition, in other examples, the cheating scoring of target passenger can also be calculated using other modes, and such as: it can count
It calculates the frequency that target passenger completes about vehicle order with the cheating driver that has identified jointly to score as the cheating etc., this Shen
Please this is not particularly limited.
Step 304, when cheating scoring is greater than scoring threshold value, determine the target passenger for cheating passenger.
In the present embodiment, the scoring threshold value can be configured by developer.Optionally, it can preset
One initial score threshold value, it is subsequent after identifying cheating passenger, it can be scored according to the cheating of cheating passenger to initial scoring
Threshold value is adjusted, with the accuracy for the threshold value that ensures to score.
Optionally, in another example, for avoid by normally about vehicle passenger be identified as cheating passenger, multiply in target
When the cheating scoring of visitor is greater than scoring threshold value, verification information can be sent to the target passenger.Due to cheating passenger usually by
Cheating software realization, cheating software will not reply above-mentioned verification information.Therefore, it is possible to judge that whether within the predetermined time not
The return information received for the verification information can determine the target passenger if receiving the return information
It is not cheating passenger, if not receiving the return information, the target passenger can be determined for cheating passenger.
Wherein, the verification information can be sent in the form of online message, short message, mail etc., and the application does not make this
It is specifically limited.
The application can be scored by calculating the cheating of target passenger it can be seen from above description, be realized to cheating passenger
Identification, realize that simple and accuracy is higher.
In another example of the application, it is based on embodiment shown in FIG. 1, it, can also be after identifying cheating passenger
The identification of further progress cheating driver in the about Yue Che driver of vehicle order is completed with the cheating passenger.
Specifically, it can first obtain and identify cheating driver with the non-of cheating passenger completion about vehicle order identified.
Wherein, described non-to have identified that cheating driver is to complete about to be not yet identified as making in the Yue Che driver of vehicle order with cheating passenger
The driver of disadvantage driver.
As an example it is assumed that the small A of passenger is identified as the passenger that practises fraud, about vehicle is completed jointly with small A then can first obtain
The Yue Che driver of order, such as: Yue Che driver has 6 people, is respectively as follows: Zhang San, Li Si, king five, small black, little Bai and little Hua.Its
In, Zhang San, Li Si, king are fifth is that the cheating driver identified, described non-to have identified that cheating driver is small then in this example
Black, little Bai and little Hua, it is subsequent that further small black, little Bai and little Hua is identified, to confirm whether it is cheating driver.
In this example, identify it is described it is non-identified cheating driver whether be practise fraud driver process can refer to earlier figures 3
Shown in recognition methods in embodiment to cheating passenger.Such as: each non-cheating scoring for having identified cheating driver is first calculated,
Then cheating scoring is greater than the non-of threshold value and has identified that cheating driver is determined as the driver that practises fraud.
Wherein, the calculation formula of the non-cheating scoring for having identified cheating driver can also refer to above-mentioned target passenger
The calculation formula of cheating scoring.For example, the calculation formula of the non-cheating scoring for having identified cheating driver can be with are as follows: K=P
× ln (Q), wherein K is cheating scoring, and Q right and wrong have identified the about vehicle quantity on order that cheating driver completes, and P right and wrong have identified work
The quantity of the cheating passenger identified in the about vehicle order that disadvantage driver completes.
It is of course also possible to use other modes calculate the non-cheating scoring for having identified cheating driver, the application does not make this
It is specifically limited.
The application not only can identify that cheating multiplies based on the cheating driver identified it can be seen from above description
Visitor is also based on the supplement identification that the cheating passenger identified carries out cheating driver again, multiplies group to cheating department to realize
Effective identification of partner.
It is corresponding with the embodiment of recognition methods that cheating department multiplies in aforementioned network about parking lot scape, present invention also provides
The embodiment for the identification device that cheating department multiplies in network about parking lot scape.
The embodiment for the identification device that cheating department multiplies in the application network about parking lot scape can be applied on about vehicle platform.
Installation practice can also be realized by software realization by way of hardware or software and hardware combining.It is implemented in software
For, as the device on a logical meaning, being will be in nonvolatile memory by the processor of about vehicle platform where it
Corresponding computer program instructions are read into memory what operation was formed.For hardware view, as shown in figure 4, being the application
A kind of hardware structure diagram for the identification device place about vehicle platform that cheating department multiplies in network about parking lot scape, in addition to place shown in Fig. 4
Manage except device, memory, network interface and nonvolatile memory, the about vehicle platform in embodiment where device generally according to
The actual functional capability of the about vehicle platform can also include other hardware, repeat no more to this.
Fig. 5 is the identification device that cheating department multiplies in a kind of network about parking lot scape shown in one exemplary embodiment of the application
Block diagram.
Referring to FIG. 5, the identification device 400 that cheating department multiplies in the network about parking lot scape can be applied in 4 institute of earlier figures
In the about vehicle platform shown, include: driver's recognition unit 401, passenger's acquiring unit 402 and passenger's recognition unit 403.
Wherein, driver's recognition unit 401 identifies the cheating driver in network about parking lot scape.
In the present embodiment, for the driver of network about vehicle service is provided, it can be identified, to identify that it is
No is cheating driver.
The identifying schemes of above-mentioned cheating driver can refer to the relevant technologies, such as: about vehicle can be being fulfiled according to driver's client
Whether the location information identification net Yue Che driver uploaded in order process is cheating driver；It can also stepping on according to driver's client
Whether record information and security information identification net Yue Che driver are cheating driver etc., and the application is not particularly limited this.
Passenger's acquiring unit 402 obtains the target passenger that about vehicle order is completed with the cheating driver identified.
In the present embodiment, for the cheating driver identified, the available mesh for completing about vehicle order together
Scalar multiplication visitor.
For example, can regard all passengers for completing about vehicle order jointly with the cheating driver as target passenger.
In another example preliminary screening can be carried out to all passengers for completing about vehicle order jointly with the cheating driver, it will
A portion passenger is not particularly limited this as target passenger, the application.
It is worth noting that, the about vehicle order that the cheating driver identified in this step completes can be the cheating department
All about vehicle orders after machine operation network about vehicle；The about vehicle order being also possible in predetermined amount of time, such as: nearly 3 months pacts
Vehicle order, nearly 6 months about vehicle order etc..By taking above-mentioned about vehicle order is nearly 3 months about vehicle orders as an example, this step can be with
Obtain the target passenger that nearly 3 months about vehicle orders are completed with the cheating driver that has identified.
Passenger's recognition unit 403 identifies whether the target passenger is cheating passenger according to preset strategy.
The application is available it can be seen from above description completes about vehicle order with the cheating driver identified
Target passenger, and identify whether the target passenger is cheating passenger according to preset strategy, to be had based on cheating driver
Effect accurately identifies cheating passenger, realizes simple, strong applicability.
Optionally, passenger's recognition unit 403:
According to the history of the target passenger about vehicle order, the cheating scoring of the target passenger is calculated；
When cheating scoring is greater than scoring threshold value, determine the target passenger for cheating passenger.
Optionally, the calculation formula of the cheating scoring is as follows:
S=N × ln (M)
Wherein, S is cheating scoring, and M is the about vehicle quantity on order that target passenger completes, and N is the described of target passenger completion
The quantity of the cheating driver about identified in vehicle order.
It is understood that target passenger completes in the case where the about vehicle quantity on order M that target passenger completes is constant
The about vehicle order in identified cheating driver quantity N it is more, target passenger be practise fraud passenger probability get over
It is high.With reference to above-mentioned formula, in the case where M is constant, cheating scoring S is increasing function, i.e. N is bigger, and the value of S is bigger.
Similar, the quantity N of the cheating driver identified in the about vehicle order that target passenger completes constant situation
Under, the about vehicle quantity on order M that target passenger completes is more, and target passenger is that the probability of cheating passenger is higher.With reference to above-mentioned public affairs
Formula, in the case where N is constant, cheating scoring S is also increasing function, i.e. M is bigger, and the value of S is bigger.
It can thus be seen that above-mentioned formula can accurately reflect that target passenger is the probability of cheating passenger.Using upper
Formula is stated, the cheating scoring of each target passenger can be calculated separately.
It is worth noting that, the about vehicle order that above-mentioned target passenger completes is also possible to the about vehicle completed in its nearly 3 months
Order, the application are not particularly limited this.In the entirely identification process of cheating passenger, about vehicle order can be unified and obtained
The time limit is taken, such as: it is unified for nearly 3 months, nearly 6 months etc., it is subsequent no longer to repeat one by one.
It should be noted that above-mentioned formula in other examples, can also be adopted using using e as the logarithmic function at bottom
To 10 be bottom or using other greater than 1 numerical value as the logarithmic function at bottom, the application is not particularly limited this.
In addition, in other examples, the cheating scoring of target passenger can also be calculated using other modes, and such as: it can count
It calculates the frequency that target passenger completes about vehicle order with the cheating driver that has identified jointly to score as the cheating etc., this Shen
Please this is not particularly limited.
In the present embodiment, the scoring threshold value can be configured by developer.Optionally, it can preset
One initial score threshold value, it is subsequent after identifying cheating passenger, it can be scored according to the cheating of cheating passenger to initial scoring
Threshold value is adjusted, with the accuracy for the threshold value that ensures to score.
Optionally, passenger's recognition unit 403, when cheating scoring is greater than scoring threshold value, Xiang Suoshu target multiplies
Visitor sends verification information；If not receiving the return information for the verification information within the predetermined time, it is determined that described
Target passenger is cheating passenger.
Optionally, in another example, for avoid by normally about vehicle passenger be identified as cheating passenger, multiply in target
When the cheating scoring of visitor is greater than scoring threshold value, verification information can be sent to the target passenger.Due to cheating passenger usually by
Cheating software realization, cheating software will not reply above-mentioned verification information.Therefore, it is possible to judge that whether within the predetermined time not
The return information received for the verification information can determine the target passenger if receiving the return information
It is not cheating passenger, if not receiving the return information, the target passenger can be determined for cheating passenger.
Wherein, the verification information can be sent in the form of online message, short message, mail etc., and the application does not make this
It is specifically limited.
Optionally, passenger's acquiring unit 402:
Obtain the about vehicle passenger that about vehicle order is completed with the cheating driver identified；
In the present embodiment, available for the cheating driver identified by taking nearly 3 months about vehicle orders as an example
All passengers for completing about vehicle order jointly at nearly 3 months with it, as about vehicle passenger.
For each about vehicle passenger, the about vehicle order that the about vehicle passenger completes with the cheating driver identified is calculated
Quantity；
Based on abovementioned steps 202, for each about vehicle passenger, can calculate this about nearly 3 months of vehicle passenger with identified
Cheating driver complete about vehicle quantity on order.Wherein, the cheating driver in this step includes but is not limited to abovementioned steps 202
In cheating driver.
When the about vehicle quantity on order is greater than amount threshold, the about vehicle passenger is determined as target passenger.
It, can be by itself and preset quantity threshold after the about vehicle quantity on order is calculated based on abovementioned steps 204
Value is compared.
If the about vehicle quantity on order is greater than amount threshold, it can illustrate that the about vehicle passenger and identified cheating driver is complete
At about vehicle order it is more, about vehicle passenger may be cheating passenger for this, and then can determine it as target passenger, subsequent to it
Further identified.
If the about vehicle quantity on order is not more than amount threshold, it can illustrate about the vehicle passenger and identified cheating driver
The about vehicle quantity on order of completion in the normal range, without further being identified as target passenger, is set to save
Standby process resource.
Above-mentioned amount threshold can be configured by developer.Optionally, an initial number threshold can be preset
Value, subsequent after identifying cheating passenger, the about vehicle order numbers that can be completed according to cheating passenger with the cheating driver identified
Amount is adjusted above-mentioned amount threshold, to ensure the accuracy of amount threshold.
In addition to embodiment shown in Fig. 2, in practical applications, can also using other modes with identified
Cheating driver complete the screening that target passenger is carried out about in the about vehicle passenger of vehicle order, such as: can also be according to about vehicle passenger
The frequency that about vehicle order is completed with the cheating driver identified is screened, and the application is not particularly limited this.
The application can be to the about vehicle for completing about vehicle order with the cheating driver identified it can be seen from above description
Passenger screens, can effectively save equipment to screen a part about vehicle passenger as the subsequent identification of target passenger progress
Process resource.
Optionally, driver's recognition unit 401, the cheating passenger completion about vehicle order for also obtaining and having identified
It is non-identified cheating driver, and identify it is described it is non-identified cheating driver whether be cheating driver.
The application can not only identify cheating passenger based on the cheating driver identified, be also based on and identified
Cheating passenger out carries out the supplement identification of cheating driver again, to realize effective identification to cheating Si Cheng clique.
The function of each unit and the realization process of effect are specifically detailed in the above method and correspond to step in above-mentioned apparatus
Realization process, details are not described herein.
For device embodiment, since it corresponds essentially to embodiment of the method, so related place is referring to method reality
Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also
Not to be physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to reality
Border needs to select some or all of the modules therein to realize the purpose of application scheme.Those of ordinary skill in the art
It can understand and implement without creative efforts.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.A kind of typically to realize that equipment is computer, the concrete form of computer can
To be personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
In device, navigation equipment, E-mail receiver/send equipment, game console, tablet computer, wearable device or these equipment
Any several equipment combination.
Corresponding with the embodiment of recognition methods that cheating department multiplies in aforementioned network about parking lot scape, this specification also provides
The identification device that cheating department multiplies in a kind of network about parking lot scape, the identification device that cheating department multiplies in the network about parking lot scape include:
Processor and memory for storing machine-executable instruction.Wherein, processor and memory are usually by internal bus
It is connected with each other.In other possible implementations, the equipment is also possible that external interface, with can be with other equipment
Or component is communicated.
In the present embodiment, by reading and executing multiplying with cheating department in network about parking lot scape for the memory storage
The corresponding machine-executable instruction of recognition logic, the processor is prompted to:
Identify the cheating driver in network about parking lot scape；
Obtain the target passenger that about vehicle order is completed with the cheating driver identified；
Identify whether the target passenger is cheating passenger according to preset strategy.
Optionally, when identifying whether the target passenger is cheating passenger according to preset strategy, the processor quilt
Promote:
According to the history of the target passenger about vehicle order, the cheating scoring of the target passenger is calculated；
When cheating scoring is greater than scoring threshold value, determine the target passenger for cheating passenger.
Optionally, the calculation formula of the cheating scoring is as follows:
S=N × ln (M)
Wherein, S is cheating scoring, and M is the about vehicle quantity on order that target passenger completes, and N is the described of target passenger completion
The quantity of the cheating driver about identified in vehicle order.
Optionally, when identifying whether the target passenger is cheating passenger according to preset strategy, the processor quilt
Promote:
When cheating scoring is greater than scoring threshold value, Xiang Suoshu target passenger sends verification information；
If not receiving the return information for the verification information within the predetermined time, it is determined that the target multiplies
Visitor is cheating passenger.
Optionally, when the cheating driver for obtaining and having identified completes the about target passenger of vehicle order, the processor
It is prompted to:
Obtain the about vehicle passenger that about vehicle order is completed with the cheating driver identified；
For each about vehicle passenger, the about vehicle order that the about vehicle passenger completes with the cheating driver identified is calculated
Quantity；
When the about vehicle quantity on order is greater than amount threshold, the about vehicle passenger is determined as target passenger.
Optionally, the identification multiplied with cheating department in network about parking lot scape stored by reading and executing the memory
The corresponding machine-executable instruction of logic, the processor are also prompted to:
It obtains and has identified cheating driver with the non-of cheating passenger completion about vehicle order identified；
Identify it is described it is non-identified cheating driver whether be cheating driver.
Corresponding with the embodiment of recognition methods that cheating department multiplies in aforementioned network about parking lot scape, this specification also provides
A kind of computer readable storage medium is stored with computer program on the computer readable storage medium, and the program is processed
Device performs the steps of when executing
Identify the cheating driver in network about parking lot scape；
Obtain the target passenger that about vehicle order is completed with the cheating driver identified；
Identify whether the target passenger is cheating passenger according to preset strategy.
It is optionally, described to identify whether the target passenger is cheating passenger according to preset strategy, comprising:
According to the history of the target passenger about vehicle order, the cheating scoring of the target passenger is calculated；
When cheating scoring is greater than scoring threshold value, determine the target passenger for cheating passenger.
Optionally, the calculation formula of the cheating scoring is as follows:
S=N × ln (M)
Wherein, S is cheating scoring, and M is the about vehicle quantity on order that target passenger completes, and N is the described of target passenger completion
The quantity of the cheating driver about identified in vehicle order.
It is optionally, described to identify whether the target passenger is cheating passenger according to preset strategy, further includes:
When cheating scoring is greater than scoring threshold value, Xiang Suoshu target passenger sends verification information；
If not receiving the return information for the verification information within the predetermined time, it is determined that the target multiplies
Visitor is cheating passenger.
Optionally, the target passenger of about vehicle order is completed in the acquisition with the cheating driver identified, comprising:
Obtain the about vehicle passenger that about vehicle order is completed with the cheating driver identified；
For each about vehicle passenger, the about vehicle order that the about vehicle passenger completes with the cheating driver identified is calculated
Quantity；
When the about vehicle quantity on order is greater than amount threshold, the about vehicle passenger is determined as target passenger.
Optionally, further includes:
It obtains and has identified cheating driver with the non-of cheating passenger completion about vehicle order identified；
Identify it is described it is non-identified cheating driver whether be cheating driver.
It is above-mentioned that this specification specific embodiment is described.Other embodiments are in the scope of the appended claims
It is interior.In some cases, the movement recorded in detail in the claims or step can be come according to the sequence being different from embodiment
It executes and desired result still may be implemented.In addition, process depicted in the drawing not necessarily require show it is specific suitable
Sequence or consecutive order are just able to achieve desired result.In some embodiments, multitasking and parallel processing be also can
With or may be advantageous.
The foregoing is merely the preferred embodiments of the application, not to limit the application, all essences in the application
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the application protection.
Claims (14)
1. the recognition methods that cheating department multiplies in a kind of network about parking lot scape characterized by comprising
Identify the cheating driver in network about parking lot scape；
Obtain the target passenger that about vehicle order is completed with the cheating driver identified；
Identify whether the target passenger is cheating passenger according to preset strategy.
2. the method according to claim 1, wherein described identify that the target passenger is according to preset strategy
No is cheating passenger, comprising:
According to the history of the target passenger about vehicle order, the cheating scoring of the target passenger is calculated；
When cheating scoring is greater than scoring threshold value, determine the target passenger for cheating passenger.
3. according to the method described in claim 2, it is characterized in that, the calculation formula of the cheating scoring is as follows:
S=N × ln (M)
Wherein, S is cheating scoring, and M is the about vehicle quantity on order that target passenger completes, and N is the about vehicle that target passenger completes
The quantity of the cheating driver identified in order.
4. according to the method described in claim 2, it is characterized in that, described identify that the target passenger is according to preset strategy
No is cheating passenger, further includes:
When cheating scoring is greater than scoring threshold value, Xiang Suoshu target passenger sends verification information；
If not receiving the return information for the verification information within the predetermined time, it is determined that the target passenger is to make
Disadvantage passenger.
5. the method according to claim 1, wherein the acquisition completes about vehicle with the cheating driver identified
The target passenger of order, comprising:
Obtain the about vehicle passenger that about vehicle order is completed with the cheating driver identified；
For each about vehicle passenger, the about vehicle quantity on order that the about vehicle passenger completes with the cheating driver identified is calculated；
When the about vehicle quantity on order is greater than amount threshold, the about vehicle passenger is determined as target passenger.
6. the method according to claim 1, wherein further include:
It obtains and has identified cheating driver with the non-of cheating passenger completion about vehicle order identified；
Identify it is described it is non-identified cheating driver whether be cheating driver.
7. the identification device that cheating department multiplies in a kind of network about parking lot scape characterized by comprising
Driver's recognition unit identifies the cheating driver in network about parking lot scape；
Passenger's acquiring unit obtains the target passenger that about vehicle order is completed with the cheating driver identified；
Passenger's recognition unit identifies whether the target passenger is cheating passenger according to preset strategy.
8. device according to claim 7, which is characterized in that passenger's recognition unit:
According to the history of the target passenger about vehicle order, the cheating scoring of the target passenger is calculated；
When cheating scoring is greater than scoring threshold value, determine the target passenger for cheating passenger.
9. device according to claim 8, which is characterized in that the calculation formula of the cheating scoring is as follows:
S=N × ln (M)
Wherein, S is cheating scoring, and M is the about vehicle quantity on order that target passenger completes, and N is the about vehicle that target passenger completes
The quantity of the cheating driver identified in order.
10. device according to claim 8, which is characterized in that
Passenger's recognition unit, when cheating scoring is greater than scoring threshold value, Xiang Suoshu target passenger sends verification information；
If not receiving the return information for the verification information within the predetermined time, it is determined that the target passenger is that cheating multiplies
Visitor.
11. device according to claim 7, which is characterized in that passenger's acquiring unit:
Obtain the about vehicle passenger that about vehicle order is completed with the cheating driver identified；
For each about vehicle passenger, the about vehicle quantity on order that the about vehicle passenger completes with the cheating driver identified is calculated；
When the about vehicle quantity on order is greater than amount threshold, the about vehicle passenger is determined as target passenger.
12. device according to claim 7, which is characterized in that
Driver's recognition unit also obtains and has identified cheating department with cheating passenger completion about the non-of vehicle order identified
Machine, and identify it is described it is non-identified cheating driver whether be cheating driver.
13. the identification device that cheating department multiplies in a kind of network about parking lot scape characterized by comprising
Processor；
For storing the memory of machine-executable instruction；
Wherein, corresponding by reading and executing the recognition logic of the memory storage multiplied with cheating department in network about parking lot scape
Machine-executable instruction, the processor is prompted to:
Identify the cheating driver in network about parking lot scape；
Obtain the target passenger that about vehicle order is completed with the cheating driver identified；
Identify whether the target passenger is cheating passenger according to preset strategy.
14. a kind of computer readable storage medium, which is characterized in that be stored with computer on the computer readable storage medium
Program, the program perform the steps of when being executed by processor
Identify the cheating driver in network about parking lot scape；
Obtain the target passenger that about vehicle order is completed with the cheating driver identified；
Identify whether the target passenger is cheating passenger according to preset strategy.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810161135.4A CN110197378A (en) | 2018-02-27 | 2018-02-27 | The recognition methods and device that cheating department multiplies in network about parking lot scape |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810161135.4A CN110197378A (en) | 2018-02-27 | 2018-02-27 | The recognition methods and device that cheating department multiplies in network about parking lot scape |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110197378A true CN110197378A (en) | 2019-09-03 |
Family
ID=67751306
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810161135.4A Pending CN110197378A (en) | 2018-02-27 | 2018-02-27 | The recognition methods and device that cheating department multiplies in network about parking lot scape |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110197378A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130143631A1 (en) * | 2010-08-12 | 2013-06-06 | Amusys Amusement Systems Electronics Gmbh | Method and device for controlling and/or monitoring racing vehicles on a racetrack |
| CN105392113A (en) * | 2015-12-02 | 2016-03-09 | 百度在线网络技术（北京）有限公司 | Identification method and device for vehicle click farming |
| CN106557963A (en) * | 2015-09-30 | 2017-04-05 | 百度在线网络技术（北京）有限公司 | Process method, device and the server for using car order |
| CN107122866A (en) * | 2017-05-03 | 2017-09-01 | 百度在线网络技术（北京）有限公司 | Passenger is estimated to cancel an order method, equipment and the storage medium of behavior |
| CN107274212A (en) * | 2017-05-26 | 2017-10-20 | 北京小度信息科技有限公司 | Cheating recognition methods and device |
| CN107341668A (en) * | 2016-04-29 | 2017-11-10 | 滴滴（中国）科技有限公司 | A kind of method and device for judging True Data |
| CN109146506A (en) * | 2017-06-28 | 2019-01-04 | 北京嘀嘀无限科技发展有限公司 | Examine method and system, terminal device, the computer equipment of cheating order |
-
2018
- 2018-02-27 CN CN201810161135.4A patent/CN110197378A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130143631A1 (en) * | 2010-08-12 | 2013-06-06 | Amusys Amusement Systems Electronics Gmbh | Method and device for controlling and/or monitoring racing vehicles on a racetrack |
| CN106557963A (en) * | 2015-09-30 | 2017-04-05 | 百度在线网络技术（北京）有限公司 | Process method, device and the server for using car order |
| CN105392113A (en) * | 2015-12-02 | 2016-03-09 | 百度在线网络技术（北京）有限公司 | Identification method and device for vehicle click farming |
| CN107341668A (en) * | 2016-04-29 | 2017-11-10 | 滴滴（中国）科技有限公司 | A kind of method and device for judging True Data |
| CN107122866A (en) * | 2017-05-03 | 2017-09-01 | 百度在线网络技术（北京）有限公司 | Passenger is estimated to cancel an order method, equipment and the storage medium of behavior |
| CN107274212A (en) * | 2017-05-26 | 2017-10-20 | 北京小度信息科技有限公司 | Cheating recognition methods and device |
| CN109146506A (en) * | 2017-06-28 | 2019-01-04 | 北京嘀嘀无限科技发展有限公司 | Examine method and system, terminal device, the computer equipment of cheating order |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105630977B (en) | Application program recommended method, apparatus and system | |
| US20150310293A1 (en) | Method and system for recording and transferring motor vehicle information | |
| CN108600399A (en) | Information-pushing method and Related product | |
| CN110135850A (en) | A kind of information processing method and relevant apparatus | |
| US20200097753A1 (en) | Object verification for a network-based service | |
| CN107026845A (en) | Task cheating recognition methods and device | |
| CN110264581A (en) | Stop charging method and relevant device | |
| CN109102324B (en) | Model training method, and red packet material laying prediction method and device based on model | |
| CN108966316B (en) | Method, device and equipment for displaying multimedia resources and predicting connection waiting duration | |
| CN112785334A (en) | Electronic resource allocation method and device | |
| CN111951089A (en) | House checking method and device | |
| CN109582581B (en) | Result determining method based on crowdsourcing task and related equipment | |
| US10200864B2 (en) | Method and device for managing wireless access point | |
| CN110989883B (en) | Recording method and device for data transfer mode, storage medium and terminal | |
| CN108595332A (en) | Method for testing software and device | |
| CN108834171B (en) | Image method and device | |
| CN110197378A (en) | The recognition methods and device that cheating department multiplies in network about parking lot scape | |
| CN113476834B (en) | Method and device for executing task in game, electronic equipment and storage medium | |
| CN110992044B (en) | Data processing method and device, electronic equipment and readable storage medium | |
| CN102053862B (en) | Method and device for inspecting material files in instant messenger | |
| CN111599417B (en) | Training data acquisition method and device of solubility prediction model | |
| CN110533432B (en) | Service processing method, device, server and client | |
| CN113115200B (en) | User relationship identification method and device and computing equipment | |
| CN114462502B (en) | Nuclear body recommendation model training method and device | |
| CN111209836A (en) | Method and device for establishing user identification association, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190903 |
|
| RJ01 | Rejection of invention patent application after publication |