CN110390182A - A kind of method, system and the equipment of determining small routine classification - Google Patents
A kind of method, system and the equipment of determining small routine classification Download PDFInfo
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- CN110390182A CN110390182A CN201910650010.2A CN201910650010A CN110390182A CN 110390182 A CN110390182 A CN 110390182A CN 201910650010 A CN201910650010 A CN 201910650010A CN 110390182 A CN110390182 A CN 110390182A
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- 238000000034 method Methods 0.000 title claims abstract description 65
- 238000004458 analytical method Methods 0.000 claims abstract description 53
- 238000004422 calculation algorithm Methods 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 13
- 238000012790 confirmation Methods 0.000 claims description 13
- 238000012216 screening Methods 0.000 claims description 13
- 230000003068 static effect Effects 0.000 claims description 9
- 238000013507 mapping Methods 0.000 claims description 7
- 238000012986 modification Methods 0.000 claims description 3
- 230000004048 modification Effects 0.000 claims description 3
- 230000010365 information processing Effects 0.000 claims description 2
- 238000012550 audit Methods 0.000 description 22
- 230000006870 function Effects 0.000 description 10
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- 238000005516 engineering process Methods 0.000 description 5
- 230000008859 change Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
- G06F21/105—Arrangements for software license management or administration, e.g. for managing licenses at corporate level
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
Abstract
This application discloses method, system and the equipment of a kind of determining small routine classification.The method flow of one embodiment of this specification includes: the small routine relevant information for obtaining small routine to be committed, and the small routine relevant information includes the description information of the description information of small routine to be committed and/or the publisher of small routine to be committed；According to the small routine relevant information determine the small routine to be committed may belonging to classification；Business game deployment is carried out according to the service attribute of the small routine to be committed, with from the small routine to be committed may belonging to classification in filter out the classification of preset number, the business game deployment includes: that the safety analysis of classification application scenarios, and/or model classification and practical classification the matching analysis, and/or classification submit historical record to analyze.
Description
Technical field
This specification is related to field of computer technology more particularly to a kind of method of determining small routine classification, system and sets
It is standby.
Background technique
Small routine is that one kind does not need that downloading installation is i.e. workable to apply, user sweep sweep or search it is i.e. openable
Using.It embodies the theory of " be finished and walk ", and user does not have to be concerned about the problem of whether installing too many application.
Need to carry out security audit before small routine business restocking, during its security audit, audit point first is that judgement
The consistency of the category information that user independently fills in and actual conditions under its line.In practical application scene, due to user itself
Small routine classification is belonged to and understands fault, not enough understand etc. reasons to the classification of security audit ownership standard, user is according to itself
Understanding cannot pass through security audit after filling in small routine category information.According to data statistics, at present by the little Cheng of security audit rejection
50% Reason For Denial is that selected classification and reality are inconsistent in sequence.
Summary of the invention
In view of this, this specification embodiment provides method, system and the equipment of a kind of determining small routine classification, it is used for
Solve the problems, such as that user cannot pass through security audit after filling in small routine category information according to itself understanding in the prior art.
This specification embodiment adopts the following technical solutions:
This specification embodiment provides a kind of method of determining small routine classification, which comprises
The small routine relevant information of small routine to be committed is obtained, the small routine relevant information includes small routine to be committed
The description information of the publisher of description information and/or small routine to be committed；
According to the small routine relevant information determine the small routine to be committed may belonging to classification；
Business game deployment is carried out according to the service attribute of the small routine to be committed, with can from the small routine to be committed
The classification of preset number is filtered out in classification belonging to energy, the business game deployment includes: classification application scenarios safety point
Analysis, and/or model classification and practical classification the matching analysis, and/or classification submit historical record analysis.
In one embodiment of this specification, the small routine relevant information of small routine to be committed is obtained, wherein the small routine
Relevant information includes:
Static data comprising the Business Name for passing through certification, and/or trade user identity information of the publisher,
And/or trade user end remark information, and/or small routine title；
And/or
Multidate information comprising the amount of money frequency of information note, and/or funds transaction in the Transaction Information of the publisher
Rate and time, and/or product features match condition, and/or mobile positioning information.
In one embodiment of this specification, the small routine relevant information of small routine to be committed is obtained, wherein the small routine
The source of relevant information includes that the publisher submits the register information inputted when the small routine to be committed and/or the publication
Side is in relevant financial/transaction platform historical record data information.
In one embodiment of this specification, determine that the small routine to be committed may institute according to the small routine relevant information
The classification of category, comprising:
Key word algorithm carries out the matching on dictionary by the keyword analyzed in the small routine relevant information, determines
Map out corresponding classification；
And/or
Semantic algorithm analyzes the publisher and sells by analyzing whole section of sentence in the small routine relevant information
The commodity sold are mapped to corresponding classification according to commodity.
In one embodiment of this specification:
According to the small routine relevant information determine the small routine to be committed may belonging to classification, wherein determine institute
State credible score value corresponding to each classification belonging to small routine possibility to be committed；
Carry out business game deployment according to the service attribute of the small routine to be committed, wherein with described in determining to
Classification and its corresponding credible score value belonging to submission small routine is possible is personalized in conjunction with the small routine to be committed as the factor
Service attribute carry out business game deployment.
In one embodiment of this specification, the classification application scenarios safety analysis includes:
For the corresponding practical application scene of classification, the corresponding matching degree requirement of different classifications is set.
In one embodiment of this specification, the model classification includes: with practical classification the matching analysis
The mapping relations of determining classification and practical classification are safeguarded by establishing Mapping dictionary.
In one embodiment of this specification, the classification submission historical record analysis includes:
According to the submission number of publisher's history, and/or submits information modification situation, and/or submit auditing result
Record, compares the current small routine to be committed, carries out to classification belonging to the small routine possibility to be committed determined
Screening.
In one embodiment of this specification, the method also includes:
Export the one or more classifications filtered out, wherein imported into the one or more classifications filtered out
The interface generated in RiskProfile is so that front-end business is called and is returned.
This specification embodiment also proposed a kind of method that acquisition small routine classification submits data, which comprises
One or more classes belonging to small routine possibility to be committed are confirmed based on the method as described in this specification embodiment
Mesh；
One or more classifications belonging to small routine possibility to be committed are showed to the publisher of the small routine to be committed；
Obtain the affiliated classification of the small routine to be committed of publisher's confirmation.
This specification embodiment also proposed a kind of small routine classification and determine system, the system comprises:
Data acquisition module is used to obtain the small routine relevant information of small routine to be committed, the small routine correlation letter
Cease the description information including the description information of small routine to be committed and/or the publisher of small routine to be committed；
Classification determining module, be used for according to the small routine relevant information determine the small routine to be committed may belonging to
Classification；
Screening module is used to carry out business game deployment according to the service attribute of the small routine to be committed, with from institute
The classification that preset number is filtered out in classification belonging to small routine possibility to be committed is stated, the business game deployment includes: classification
Application scenarios safety analysis, and/or model classification and practical classification the matching analysis, and/or classification submit historical record analysis.
This specification embodiment also proposed a kind of system that acquisition small routine classification submits data, the system comprises:
Classification recommending module, it includes the small routine classifications as described in this specification embodiment to determine system, for confirming
One or more classifications belonging to small routine to be committed is possible；
Recommendation results display module is used to one or more classifications belonging to small routine possibility to be committed showing institute
State the publisher of small routine to be committed；
User inputs acquisition module, is used to obtain the affiliated class of the small routine to be committed of publisher's confirmation
Mesh.
This specification embodiment also proposed a kind of equipment in access side's equipment end information processing, which includes
Processor for storing the memory of computer program instructions and for executing program instructions, wherein when the computer program
When instruction is executed by the processor, triggers the equipment and execute method described in system described in this specification embodiment.
At least one above-mentioned technical solution that this specification embodiment uses can reach following the utility model has the advantages that according to this theory
Classification belonging to small routine possibility to be committed can be confirmed in the method for bright book embodiment；Compared to the prior art, it is based on this explanation
The method of book embodiment provides classification range of choice for user, and auxiliary user confirms the category information of small routine to be committed, with big
The big audit percent of pass for improving small routine, to significantly promote overall customer experience, shorten audit timeliness, saving company is opened
Branch reduces the wasting of resources.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present application, constitutes part of this application, this Shen
Illustrative embodiments and their description please are not constituted an undue limitation on the present application for explaining the application.In the accompanying drawings:
Fig. 1, Fig. 4 and Fig. 5 are the flow chart of the operation method of application program in this specification embodiment；
Fig. 2 and Fig. 3 is the operational model logical architecture schematic diagram of application program in this specification embodiment；
Fig. 6 and Fig. 7 is the structural block diagram of system in this specification embodiment.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application clearer, below in conjunction with the application specific embodiment and
Technical scheme is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the application one
Section Example, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall in the protection scope of this application.
It cannot be by security audit after filling in small routine category information according to itself understanding for user in the prior art
Problem, this specification embodiment propose a kind of method of determining small routine classification.Specifically, according to the small of small routine to be committed
Program related information determines classification belonging to small routine possibility to be committed, so that the limited classification range of choice of user is given, it is auxiliary
User is helped more accurately to confirm classification belonging to small routine to be committed.
Further, in one embodiment of this specification, in order to improve belonging to the small routine to be committed determined possibility
The accuracy of classification includes but is not limited to the description information of small routine to be committed for determining small routine relevant information.
Specifically, in one embodiment of this specification, small routine relevant information includes the description information of small routine to be committed and/or wait mention
Hand over the description information of the publisher of small routine.
Further, in practical application scene, the business scope of small routine be not absolutely it is single, this results in small
Classification belonging to program reality is often not pointing at unique one, that is, based on different understanding analytic angles, a small routine
Multiple classifications can be belonged to simultaneously.That is, when determining the classification of multiple possible ownership for small routine to be committed, really
The multiple classifications made may be all the correct options or wherein include multiple the correct options.However, being examined in actual safety
In core application scenarios, even if multiple classifications are right-on classification ownership for understanding on analytic angle, but it is different
The audit percent of pass of classification is also different.
Therefore, based on above-mentioned analysis, in order to further increase the percent of pass of security audit, in one embodiment of this specification
In, after determining classification belonging to small routine possibility to be committed, also industry is carried out according to the service attribute of small routine to be committed
Business policy deployment screens classification belonging to the small routine to be committed possibility determined.Specifically, real in this specification one
Apply in example, according to the service attribute of small routine to be committed carry out business game deployment, main purpose first is that from security audit
Percent of pass angle on, to small routine to be committed may belonging to each classification compare and analyze, to be screened out from it
The relatively high classification of the percent of pass of security audit.
Specifically, carrying out business game according to the service attribute of small routine to be committed in one embodiment of this specification
During deployment, business game deployment includes: the safety analysis of classification application scenarios, and/or model classification and practical classification
The matching analysis, and/or classification submit historical record analysis.
Specifically, in one embodiment of this specification, according to the personalized service attribute of small routine to be committed (for example,
Exclusive, the leading service attribute of small routine to be committed) carry out business game deployment.
Further, in one embodiment of this specification, in order to be supplied to user's classification selection the most accurate as far as possible
And the classification range of choice of user is reduced, when being screened to classification belonging to the small routine to be committed possibility determined, and
Threshold value screening strategy (screening all classifications for meeting screening threshold value setting) is not taken instead of, uses optimal screening plan
It (will slightly be screened with the highest one or more classifications of screening requirements matching degree).
Specifically, 2 classifications that finishing screen selects the demand of being best suitable for are used for publisher in one embodiment of this specification
Recommended.
According to the method for this specification embodiment, classification belonging to small routine possibility to be committed can be confirmed；Compared to existing
There is technology, based on the method for this specification embodiment, provides classification range of choice for user, auxiliary user confirms little Cheng to be committed
The category information of sequence, to greatly improve the audit percent of pass of small routine, to significantly promote overall customer experience, shorten and examine
Core timeliness saves corporate expenses, reduces the wasting of resources.
Below in conjunction with attached drawing, the technical solution that each embodiment of this specification provides is described in detail.
In one embodiment of this specification, as shown in Figure 1, determining that the method flow of small routine classification includes:
S110 obtains the small routine relevant information of small routine to be committed, which includes little Cheng to be committed
The description information of the publisher of the description information of sequence and/or small routine to be committed；
S120, according to small routine relevant information determine small routine to be committed may belonging to classification；
S130 carries out business game deployment according to the service attribute of small routine to be committed, with possible from small routine to be committed
The classification of preset number is filtered out in affiliated classification, wherein business game deployment includes: classification application scenarios safety point
Analysis, and/or model classification and practical classification the matching analysis, and/or classification submit historical record analysis.
Specifically, in one embodiment of this specification, as shown in Fig. 2, construction category analysis model 210 and business game
Screening model 220.Small routine relevant information is input to category analysis model 210, so that obtaining small routine to be committed may institute
The classification of category.By small routine to be committed that category analysis model 210 exports may belonging to classification be input to business game screening
Model 220 is screened, to obtain the one or more classifications for carrying out selection confirmation for user.
Further, in one embodiment of this specification, in order to enrich the data source and number of small routine relevant information
According to amount, the accuracy of classification belonging to the small routine to be committed possibility determined is improved, is obtained by the way of data mining small
Program related information.That is, being in relevant financial/transaction platform historical record data information with the publisher of small routine to be committed
Data source obtains small routine relevant information by the data mining to data source.Specifically, implementing in this specification one
In example, the source of small routine relevant information includes that publisher submits the register information inputted when small routine to be committed and/or publication
Side is in relevant financial/transaction platform historical record data information.
Further, in one embodiment of this specification, small routine relevant information includes static data and/or dynamic number
According to.
Specifically, in one embodiment of this specification, static data include publisher the Business Name by certification,
And/or trade user identity information, and/or trade user end remark information, and/or small routine title.
Specifically, in one embodiment of this specification, multidate information include information note in the Transaction Information of publisher,
And/or the amount of money frequency of funds transaction and time, and/or product features match condition, and/or mobile positioning information.
In one embodiment of this specification, comprehensive analysis static data and/or dynamic data, so that it is determined that be committed small out
Classification belonging to program is possible.For example, in an application scenarios, by Business Name, and/or trade user identity information and/
Or commodity, and/or publisher's work/operation address confirmation small routine that trade user end remark information, and/or publisher sell
Business scope/business demand of publisher, to further confirm that the small routine possible application of small routine publisher publication at that
A little business scopes, and then finally confirm classification belonging to small routine possibility to be committed.
Further, in one embodiment of this specification, determining that small routine to be committed can according to small routine relevant information
During classification belonging to energy, key word algorithm and/or semantic algorithm are used.
Specifically, key word algorithm is by the pass in analysis small routine relevant information in one embodiment of this specification
Keyword carries out the matching on dictionary, and determination maps out corresponding classification.
Specifically, semantic algorithm is by whole section in analysis small routine relevant information in one embodiment of this specification
Sentence, analyze the commodity that publisher sells, be mapped to corresponding classification according to commodity.
Further, it in one embodiment of this specification, does not force to limit belonging to determination small routine possibility to be committed
The algorithm of classification.For example, in an application scenarios, when in small routine relevant information comprising the sentence for whole section of analysis,
Using semantic algorithm；When in small routine relevant information comprising the keyword for analysis, using key word algorithm.Further
, in one embodiment of this specification, can also be determined using other parsers other than key word algorithm, semantic algorithm to
Classification belonging to submission small routine is possible.
Further, multiple classifications belonging to small routine possibility to be committed are got by determination, that is, illustrates multiple class
Mesh from certain angle for small routine to be committed be matched.Also, in practical application scene, got by determination
The matching degree of each classification and small routine to be committed belonging to small routine to be committed is possible is different.Based on this, in this theory
In bright one embodiment of book:
According to small routine relevant information determine small routine to be committed may belonging to classification during, determine to be committed
Credible score value (matching degree) corresponding to each classification belonging to small routine is possible；
It is to be committed with what is determined during carrying out business game deployment according to the service attribute of small routine to be committed
Classification and its corresponding credible score value belonging to small routine is possible is as the factor, in conjunction with the business category of small routine personalization to be committed
Property carry out business game deployment.
Further, in one embodiment of this specification, classification application scenarios safety analysis refers in individual scene
Under the analysis and management that are layered for the safety of classification.Specifically, including: practical application field corresponding for classification
Scape sets the corresponding matching degree requirement of different classifications.For example, in an application scenarios, in contrast, government, public institution's class
Mesh rdativery sensitive needs higher credible score value, and service for life, general merchandise class classification is relatively broad, it is slightly lower to require credible score value.
Further, in one embodiment of this specification, model classification is directed to practical classification the matching analysis: true
Fixed small routine to be committed may belonging to classification when, the small routine to be committed determined may belonging to category name (for example, by
The category name that category analysis model is determined) it possibly can not correspond to the category name of practical classification corresponding to security audit
Claim.Specifically, the problem of capable of not being corresponded with practical classification in view of the category name (model classification) determined, at this
In one embodiment of specification, model classification includes safeguarding model class by establishing Mapping dictionary with practical classification the matching analysis
The mapping relations of mesh and practical classification can thus improve the covering of the result of classification belonging to determination small routine possibility to be committed
Degree and accuracy.
Further, in one embodiment of this specification, classification submits historical record analysis to refer to by publisher
Relevant historical submit record analyzed, to confirm the maximum classification of general audit possibility.Specifically, in this specification
In one embodiment, classification submits historical record analysis to include: the submission number according to publisher's history, and/or information is submitted to repair
Change situation, and/or submit auditing result record, compares current small routine to be committed, it can to the small routine to be committed determined
Classification belonging to energy is screened.For example, in an application scenarios, it is assumed that the classification A determined is selected in previous submission
And passed through audit, then it can directly accept and believe.
Specifically, in one embodiment of this specification, as shown in figure 3, construction category analysis model 310 and business game
Screening model 320.Category analysis model 310 acquires static data (static data input 311) and dynamic data (dynamic data
Input is 312).Static data and dynamic data are true after keyword and semantic algorithm (keyword and semantic algorithm unit 313)
Make classification belonging to small routine possibility to be committed.Belonging to the small routine to be committed that category analysis model 310 is exported is possible
Classification is input to business game screening model 320 and is screened, through safety analysis (safety analysis unit 321), classification
With after analysis (classification the matching analysis unit 322) and historical record analysis (historical record analytical unit 323) to be committed small
One or more classifications are filtered out in classification belonging to program is possible.
Further, in practical application scene, RiskProfile provides online acquisition, management and application data and provides
The ability of production.In one embodiment of this specification, method further include:
Export the one or more classifications filtered out, wherein imported into the one or more classifications filtered out
The interface generated in RiskProfile is so that front-end business is called and is returned.
Further, in one embodiment of this specification, classification refers to MCC (Merchant Category Code) class
Mesh.It is 4 digit codes for being sold financial industry distribution that it, which is in ISO 18245, for according to merchant type (example such as supermarket, wine
Shop etc.) or name of firm (such as 3000 be the U.S. United Airlines, Inc) classify.In one embodiment of this specification, base is determined as with classification
Plinth, arranging in pairs or groups credible algorithm in conjunction with the peculiar data of small routine service attribute should to the recommendation of developer's real-time intelligent in the submission audit stage
The affiliated MCC classification of small routine, avoid after submitting because MCC classification select it is wrong or with practical application is inconsistent causes to be refuted by security audit
It returns, the experience and satisfaction of user is improved while promoting processing timeliness.
Based on the method for the determination small routine classification proposed in this specification embodiment, one embodiment of this specification is also proposed
A kind of method for obtaining small routine classification and submitting data.As shown in figure 4, obtaining small routine in one embodiment of this specification
Classification submit data method flow include:
S410 confirms that small routine to be committed can based on the method for the determination small routine classification as described in this specification embodiment
One or more classifications belonging to energy；
One or more classifications belonging to small routine possibility to be committed are showed the publication of small routine to be committed by S420
Side；
S430 obtains the classification confirmation input of publisher, obtains the affiliated classification of the small routine to be committed of publisher's confirmation.
Specifically, in one embodiment of this specification, as shown in figure 5, during submitting small routine to security audit:
S510, small routine register information that acquisition publisher inputs, in addition to small routine category information；
S520, small routine register information inputted according to publisher, in addition to small routine category information and publisher
Small routine to be committed is confirmed in the history information of relevant finance/transaction platform (for example, current small routine distribution platform)
One or more classifications belonging to possible (based on the method for the determination small routine classification as described in this specification embodiment)；
S530 shows one or more classifications belonging to small routine possibility to be committed to small routine publisher, waits to be released
Side's confirmation；
S540, the classification confirmation message of acquisition publisher's input, obtains the small routine category information of publisher's confirmation；
Small routine register information comprising small routine category information is uploaded to security audit system and carries out safe examine by S550
Core.
Based on the method for the determination small routine classification proposed in this specification embodiment, one embodiment of this specification is also proposed
A kind of small routine classification determines system.Specifically, in one embodiment of this specification, as shown in fig. 6, system includes:
Data acquisition module 610 is used to obtain the small routine relevant information of small routine to be committed, small routine relevant information
The description information of the publisher of description information and/or small routine to be committed including small routine to be committed；
Classification determining module 620, be used for according to small routine relevant information determine small routine to be committed may belonging to class
Mesh；
Screening module 630 is used to carry out business game deployment according to the service attribute of small routine to be committed, from wait mention
The classification of preset number is filtered out in classification belonging to friendship small routine is possible, business game deployment includes: classification application scenarios peace
Full property analysis, and/or model classification and practical classification the matching analysis, and/or classification submit historical record analysis.
Based on the method for the determination small routine classification proposed in this specification embodiment, one embodiment of this specification is also proposed
A kind of system for obtaining small routine classification and submitting data.Specifically, in one embodiment of this specification, as shown in fig. 7, system
Include:
Classification recommending module 710, it includes the small routine classifications as described in this specification embodiment to determine system 711, uses
One or more classifications belonging to confirmation small routine possibility to be committed；
Recommendation results display module 720 is used to show one or more classifications belonging to small routine possibility to be committed
To the publisher of small routine to be committed；
User inputs acquisition module 730, is used to obtain the affiliated classification of the small routine to be committed of publisher's confirmation.
Further, based on method of the invention, the invention also provides one kind at access side's equipment client information
The equipment of reason, the equipment include the memory for storing computer program instructions and the processor for executing program instructions,
Wherein, it when the computer program instructions are executed by the processor, triggers the equipment and executes method of the present invention.
In the 1990s, the improvement of a technology can be distinguished clearly be on hardware improvement (for example,
Improvement to circuit structures such as diode, transistor, switches) or software on improvement (improvement for method flow).So
And with the development of technology, the improvement of current many method flows can be considered as directly improving for hardware circuit.
Designer nearly all obtains corresponding hardware circuit by the way that improved method flow to be programmed into hardware circuit.Cause
This, it cannot be said that the improvement of a method flow cannot be realized with hardware entities module.For example, programmable logic device
(Programmable Logic Device, PLD) (such as field programmable gate array (Field Programmable Gate
Array, FPGA)) it is exactly such a integrated circuit, logic function determines device programming by access side.By designer
Voluntarily programming comes a digital display circuit " integrated " on a piece of PLD member, designs and makes without asking chip maker
Make dedicated IC chip.Moreover, nowadays, substitution manually makes IC chip, and this programming is also used instead mostly
" logic compiler (logic compiler) " software realizes that software compiler used is similar when it writes with program development
Seemingly, and the source code before compiling also handy specific programming language is write, this is referred to as hardware description language
(Hardware Description Language, HDL), and HDL is also not only a kind of, but there are many kind, such as ABEL
(Advanced Boolean Expression Language)、AHDL(Altera Hardware Description
Language)、Confluence、CUPL(Cornell University Programming Language)、HDCal、JHDL
(Java Hardware Description Language)、Lava、Lola、MyHDL、PALASM、RHDL(Ruby
Hardware Description Language) etc., VHDL (Very-High-Speed is most generally used at present
Integrated Circuit Hardware Description Language) and Verilog.Those skilled in the art also answer
This understands, it is only necessary to method flow slightly programming in logic and is programmed into integrated circuit with above-mentioned several hardware description languages,
The hardware circuit for realizing the logical method process can be readily available.
Controller can be implemented in any suitable manner, for example, controller can take such as microprocessor or processing
The computer for the computer readable program code (such as software or firmware) that device and storage can be executed by (micro-) processor can
Read medium, logic gate, switch, specific integrated circuit (Application Specific Integrated Circuit,
ASIC), the form of programmable logic controller (PLC) and insertion microcontroller, the example of controller includes but is not limited to following microcontroller
Device: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320 are deposited
Memory controller is also implemented as a part of the control logic of memory.It is also known in the art that in addition to
Pure computer readable program code mode is realized other than controller, can be made completely by the way that method and step is carried out programming in logic
Controller is obtained to come in fact in the form of logic gate, switch, specific integrated circuit, programmable logic controller (PLC) and insertion microcontroller etc.
Existing identical function.Therefore this controller is considered a kind of hardware component, and to including for realizing various in it
The device of function can also be considered as the structure in hardware component.Or even, it can will be regarded for realizing the device of various functions
For either the software module of implementation method can be the structure in hardware component again.
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.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
It is any in device, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or these equipment
The combination of equipment.
For convenience of description, it is divided into various units when description apparatus above with function to describe respectively.Certainly, implementing this
The function of each unit can be realized in the same or multiple software and or hardware when application.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
The application can describe in the general context of computer-executable instructions executed by a computer, such as program
Module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, programs, objects, group
Part, data structure etc..The application can also be practiced in a distributed computing environment, in these distributed computing environments, by
Task is executed by the connected remote processing devices of communication network.In a distributed computing environment, program module can be with
In the local and remote computer storage media including storage equipment.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for system reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
The above description is only an example of the present application, is not intended to limit this application.For those skilled in the art
For, various changes and changes are possible in this application.All any modifications made within the spirit and principles of the present application are equal
Replacement, improvement etc., should be included within the scope of the claims of this application.
Claims (13)
1. a kind of method of determining small routine classification, which comprises
The small routine relevant information of small routine to be committed is obtained, the small routine relevant information includes the description of small routine to be committed
The description information of the publisher of information and/or small routine to be committed；
According to the small routine relevant information determine the small routine to be committed may belonging to classification；
Business game deployment is carried out according to the service attribute of the small routine to be committed, with may institute from the small routine to be committed
Filter out the classification of preset number in the classification of category, the business game deployment include: the safety analysis of classification application scenarios,
And/or model classification submits historical record analysis with practical classification the matching analysis, and/or classification.
2. according to the method described in claim 1, obtaining the small routine relevant information of small routine to be committed, wherein the little Cheng
Sequence relevant information includes:
Static data comprising the publisher by certification Business Name, and/or trade user identity information, and/or
Trade user end remark information, and/or small routine title；
And/or
Multidate information comprising the amount of money frequency of information note, and/or funds transaction in the Transaction Information of the publisher with
Time, and/or product features match condition, and/or mobile positioning information.
3. method according to claim 1 or 2 obtains the small routine relevant information of small routine to be committed, wherein described small
The source of program related information includes that the publisher submits the register information inputted when the small routine to be committed and/or described
Publisher is in relevant financial/transaction platform historical record data information.
4. method described in any one of claim 1 to 3 determines described to be committed according to the small routine relevant information
Classification belonging to small routine is possible, comprising:
Key word algorithm carries out the matching on dictionary by the keyword analyzed in the small routine relevant information, determines mapping
Corresponding classification out；
And/or
Semantic algorithm analyzes what the publisher sold by analyzing whole section of sentence in the small routine relevant information
Commodity are mapped to corresponding classification according to commodity.
5. method according to any one of claims 1 to 4:
According to the small routine relevant information determine the small routine to be committed may belonging to classification, wherein determine it is described to
Credible score value corresponding to each classification belonging to submission small routine is possible；
Business game deployment is carried out according to the service attribute of the small routine to be committed, wherein described to be committed with what is determined
Classification and its corresponding credible score value belonging to small routine is possible is as the factor, in conjunction with the industry of the small routine personalization to be committed
Business attribute carries out business game deployment.
6. method according to any one of claims 1 to 5, the classification application scenarios safety analysis include:
For the corresponding practical application scene of classification, the corresponding matching degree requirement of different classifications is set.
7. method according to any one of claims 1 to 5, the model classification include: with practical classification the matching analysis
The mapping relations of determining classification and practical classification are safeguarded by establishing Mapping dictionary.
8. method according to any one of claims 1 to 5, the classification submission historical record analysis include:
According to the submission number of publisher's history, and/or submits information modification situation, and/or submits auditing result record,
The current small routine to be committed of comparison screens classification belonging to the small routine possibility to be committed determined.
9. method described according to claim 1~any one of 8, the method also includes:
Export the one or more classifications filtered out, wherein the one or more classifications filtered out are imported into RiskProfile
The interface of interior generation is so that front-end business is called and is returned.
10. a kind of method for obtaining small routine classification and submitting data, which comprises
One or more belonging to small routine possibility to be committed is confirmed based on such as method according to any one of claims 1 to 9
Classification；
One or more classifications belonging to small routine possibility to be committed are showed to the publisher of the small routine to be committed；
Obtain the affiliated classification of the small routine to be committed of publisher's confirmation.
11. a kind of small routine classification determines system, the system comprises:
Data acquisition module is used to obtain the small routine relevant information of small routine to be committed, the small routine relevant information packet
Include the description information of the description information of small routine to be committed and/or the publisher of small routine to be committed；
Classification determining module, be used for according to the small routine relevant information determine the small routine to be committed may belonging to class
Mesh；
Screening module, be used for according to the service attribute of the small routine to be committed carry out business game deployment, with from it is described to
The classification of preset number is filtered out in classification belonging to submission small routine is possible, the business game deployment includes: classification application
Scene safety analysis, and/or model classification and practical classification the matching analysis, and/or classification submit historical record analysis.
12. a kind of system for obtaining small routine classification and submitting data, the system comprises:
Classification recommending module, it includes system as claimed in claim 11, for confirm small routine to be committed may belonging to
One or more classifications；
Recommendation results display module, be used for by small routine to be committed may belonging to one or more classifications show it is described to
Submit the publisher of small routine；
User inputs acquisition module, is used to obtain the affiliated classification of the small routine to be committed of publisher's confirmation.
13. a kind of equipment in access side's equipment end information processing, the equipment include for storing computer program instructions
Memory and processor for executing program instructions, wherein when the computer program instructions are executed by the processor, touching
Send out method described in any one of equipment perform claim requirement 1 to 10.
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| CN110390182B (en) | 2023-05-09 |
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