CN109919427A - Model subject under discussion duplicate removal appraisal procedure, server and computer readable storage medium - Google Patents
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Abstract
The present invention relates to a kind of risk evaluation model technologies, disclose a kind of model subject under discussion duplicate removal appraisal procedure, this method comprises: the preset field of setting model subject under discussion；Receive the subject under discussion to be assessed of the data comprising the preset field；Obtain the data of the corresponding preset field of all existing models；The preset field of the subject under discussion to be assessed and all existing models is carried out similarity to inspect；According to inspecting result and preset rules judge whether the subject under discussion to be assessed wants continual exploitation.The present invention also provides a kind of server and computer readable storage mediums.Model subject under discussion duplicate removal appraisal procedure, server and computer readable storage medium provided by the invention can be inspected by the similarity of subject under discussion to be assessed and existing model in preset field, reevaluating is carried out to subject under discussion to be assessed, overlapping development is avoided to result in waste of resources.
Description
Technical field
The present invention relates to risk evaluation model technical field more particularly to a kind of model subject under discussion duplicate removal appraisal procedures, service
Device and computer readable storage medium.
Background technique
Model refers to through the methods of statistical analysis, physical and mathematical modeling, all kinds of algorithms and frame application, carries out to Various types of data
Classification, feature refine, mining analysis, and combines expertise etc., the mathematical expression or regular collection of formation, be risk control and
The offers support such as operational decision making.Before development model, it is necessary first to the data such as risk point leaved for development carry out feature refinement and
Analysis, proposes the corresponding subject under discussion of the model.
In order to avoid overlapping development, generally requires and similarity assessment is carried out to model subject under discussion.For in existing model
Existing subject under discussion terminates exploitation；For new subject under discussion, corresponding model is further developed.Currently, the assessment one to model subject under discussion
As take the mode of manual evaluation and duplicate removal, such as when establishing risk model, after proposing risk subject under discussion for risk scene, need
Reevaluating is realized by manually being inspected one by one passing risk model.The not only waste of manpower of this mode, but also
It is easy error or generates omission, assessment result is not accurate enough.
Summary of the invention
In view of this, the present invention proposes a kind of model subject under discussion duplicate removal appraisal procedure, server and computer-readable storage medium
Matter carries out reevaluating to model subject under discussion automatically to solve the problems, such as how to realize.
Firstly, to achieve the above object, the present invention proposes that a kind of model subject under discussion duplicate removal appraisal procedure, this method include step
It is rapid:
The preset field of model subject under discussion is set, with the data of preset field described in the typing when establishing each model subject under discussion；
Receive the subject under discussion to be assessed of the data comprising the preset field；
Obtain the data of the corresponding preset field of all existing models；
The preset field of the subject under discussion to be assessed and all existing models is carried out similarity to inspect, that is, is judged described to be evaluated
There are unions for the preset field data whether the preset field data for estimating subject under discussion have model with some；And
According to inspecting result and preset rules judge whether the subject under discussion to be assessed wants continual exploitation.
Optionally, the result of inspecting includes:
The subject under discussion to be assessed and the preset field data of all existing models are all different；
The subject under discussion to be assessed is identical with some existing preset field data of model；Or
The subject under discussion to be assessed is identical as some existing preset field data portion of model.
Optionally, the basis inspects result and preset rules judge whether the subject under discussion to be assessed wants continual exploitation packet
It includes:
When the preset field data of the subject under discussion to be assessed and all existing models are all different, by the view to be assessed
Topic is judged as new issue, develops corresponding new model；
When the subject under discussion to be assessed is identical with some existing preset field data of model, by the view to be assessed
Topic is judged as repetition subject under discussion, terminates exploitation；
When the subject under discussion to be assessed is identical as some existing preset field data portion of model, by the view to be assessed
Topic is judged as subject under discussion to be optimized, carries out supplement optimization according to the proposition to be assessed in the existing model modification.
Optionally, the existing model includes existing runing and model being developed.
Optionally, the preset field includes: applicable specialized company, service link, concern risk point, model name, mould
Type scene, logic bore.
Optionally, the part is identical includes:
The model scene field data phase of the data of the model scene field of the subject under discussion to be assessed and the existing model
Together, and the data of the logic bore field of the subject under discussion to be assessed are similar to the logic bore field data of the existing model
Rate reaches 50% or more, wherein the likelihood refers to identity logic bore number/subject under discussion to be assessed logic bore number.
Optionally, the part is identical includes:
Only applicable specialized company's field data is different from the existing model for the subject under discussion to be assessed, the data of remaining field
It is all the same.
Optionally, in the similarity is inspected, if its of the subject under discussion to be assessed and the existing model certain field
His data are identical, when the threshold size difference related only to, it is believed that the subject under discussion to be assessed and the existing model are in the word
The data of section are identical.
In addition, to achieve the above object, the present invention also provides a kind of server, including memory, processor, the storages
The model subject under discussion duplicate removal assessment system that can be run on the processor, the model subject under discussion duplicate removal assessment system are stored on device
It realizes when being executed by the processor such as the step of above-mentioned model subject under discussion duplicate removal appraisal procedure.
Further, to achieve the above object, the present invention also provides a kind of computer readable storage medium, the computers
Readable storage medium storing program for executing is stored with model subject under discussion duplicate removal assessment system, and the model subject under discussion duplicate removal assessment system can be by least one
It manages device to execute, so that at least one described processor is executed such as the step of above-mentioned model subject under discussion duplicate removal appraisal procedure.
Compared to the prior art, model subject under discussion duplicate removal appraisal procedure proposed by the invention, server and computer-readable
Storage medium can be inspected before development model by the similarity of subject under discussion to be assessed and existing model in preset field,
Reevaluating is carried out to the subject under discussion to be assessed, for new issue continual exploitation, exploitation is terminated for subject under discussion is repeated, to avoid repeating
Exploitation results in waste of resources.Also, have the identical feelings of the preset field data portion of model with some for subject under discussion to be assessed
Condition, the part that the subject under discussion to be assessed is different from the existing model supplement as the optimization for having model to this, are used for this
There is model to consider that incomplete place carries out leak repairing, and for the subject under discussion to be assessed without developing again, so as to save
Make existing model more perfect while resource-saving.
Detailed description of the invention
Fig. 1 is the schematic diagram of the optional hardware structure of server one of the present invention；
Fig. 2 is the program module schematic diagram of model subject under discussion duplicate removal assessment system preferred embodiment of the present invention；
Fig. 3 is the flow diagram of model subject under discussion duplicate removal appraisal procedure preferred embodiment of the present invention；
Fig. 4 is the refinement flow diagram of S308 in Fig. 3；
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, not
For limiting the present invention.Based on the embodiments of the present invention, those of ordinary skill in the art are not before making creative work
Every other embodiment obtained is put, shall fall within the protection scope of the present invention.
It should be noted that the description for being related to " first ", " second " etc. in the present invention is used for description purposes only, and cannot
It is interpreted as its relative importance of indication or suggestion or implicitly indicates the quantity of indicated technical characteristic.Define as a result, " the
One ", the feature of " second " can explicitly or implicitly include at least one of the features.In addition, the skill between each embodiment
Art scheme can be combined with each other, but must be based on can be realized by those of ordinary skill in the art, when technical solution
Will be understood that the combination of this technical solution is not present in conjunction with there is conflicting or cannot achieve when, also not the present invention claims
Protection scope within.
As shown in fig.1, being the schematic diagram of the optional hardware structure of server 2 one of the present invention.
In the present embodiment, the server 2 may include, but be not limited only to, and can be in communication with each other connection by system bus and deposit
Reservoir 11, processor 12, network interface 13.It should be pointed out that Fig. 1 illustrates only the server 2 with component 11-13, but
Be it should be understood that, it is not required that implement all components shown, the implementation that can be substituted is more or less component.
Wherein, the server 2 can be rack-mount server, blade server, tower server or cabinet-type clothes
Business device etc. calculates equipment, which can be independent server, be also possible to server set composed by multiple servers
Group.
The memory 11 include at least a type of readable storage medium storing program for executing, the readable storage medium storing program for executing include flash memory,
Hard disk, multimedia card, card-type memory (for example, SD or DX memory etc.), random access storage device (RAM), static random are visited
It asks memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), may be programmed read-only deposit
Reservoir (PROM), magnetic storage, disk, CD etc..In some embodiments, the memory 11 can be the server
2 internal storage unit, such as the hard disk or memory of the server 2.In further embodiments, the memory 11 can also be with
It is the plug-in type hard disk being equipped on the External memory equipment of the server 2, such as the server 2, intelligent memory card (Smart
Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card) etc..Certainly, described
Memory 11 can also both including the server 2 internal storage unit and also including its External memory equipment.In the present embodiment,
The memory 11 is installed on the operating system and types of applications software of the server 2, such as model view commonly used in storage
Inscribe the program code etc. of duplicate removal assessment system 200.In addition, the memory 11 can be also used for temporarily storing exported or
The Various types of data that person will export.
The processor 12 can be in some embodiments central processing unit (Central Processing Unit,
CPU), controller, microcontroller, microprocessor or other data processing chips.The processor 12 is commonly used in the control clothes
The overall operation of business device 2.In the present embodiment, the processor 12 for run the program code stored in the memory 11 or
Person handles data, such as runs the model subject under discussion duplicate removal assessment system 200 etc..
The network interface 13 may include radio network interface or wired network interface, which is commonly used in
Communication connection is established between the server 2 and other electronic equipments.
So far, oneself is through describing the hardware configuration and function of relevant device of the present invention in detail.In the following, above-mentioned introduction will be based on
It is proposed each embodiment of the invention.
Firstly, the present invention proposes a kind of model subject under discussion duplicate removal assessment system 200.
As shown in fig.2, being the Program modual graph of 200 preferred embodiment of model subject under discussion duplicate removal assessment system of the present invention.
In the present embodiment, the model subject under discussion duplicate removal assessment system 200 includes a series of is stored on memory 11
The mould of various embodiments of the present invention may be implemented when the computer program instructions are executed by processor 12 in computer program instructions
Type subject under discussion duplicate removal evaluation operation.In some embodiments, the specific behaviour realized based on the computer program instructions each section
Make, model subject under discussion duplicate removal assessment system 200 can be divided into one or more modules.For example, in Fig. 2, the model view
Topic duplicate removal assessment system 200 can be divided into setup module 201, receiving module 202, obtain module 203, inspect module 204,
Judgment module 205.Wherein:
The setup module 201, for the preset field of model subject under discussion to be arranged.
Specifically, for each Agenda-setting " applicable specialized company " " service link " " concern risk point " " model name "
Preset fields such as " model scene " " logic bores ", subject under discussion and the corresponding subject under discussion of existing model to be assessed require typing every time
The data of the preset field carry out similarity for the subsequent data for each field and inspect, thus find to repeat subject under discussion,
Avoid overlapping development.
The receiving module 202, for receiving the subject under discussion to be assessed of the data comprising the preset field.
Specifically, when needing for some subject under discussion exploitation new model, each default key of the typing subject under discussion first
The data of word, to carry out reevaluating to the subject under discussion.
The acquisition module 203, for obtaining the data of the corresponding preset field of all existing models.
Specifically, the existing model includes existing runing and model being developed.In order to view to be assessed
Topic carry out reevaluating, need to obtain the data of the corresponding preset field of all existing models, for it is described to be assessed
Subject under discussion carries out similarity and inspects.
It is described to inspect module 204, for the preset field of subject under discussion to be assessed and all existing models to be carried out similarity inspection
Depending on.
Specifically, the input of each field can carry out the similar the automatic inspection of keyword, and the range inspected is view to be assessed
The preset field data of the preset field data of topic and all existing models, the similarity is inspected inspects for union, that is, judges
There are unions for the preset field data whether the preset field data of the subject under discussion to be assessed have model with some.Inspect result
There may be three kinds of situations: the preset field data of subject under discussion to be assessed and all existing models are all different, subject under discussion to be assessed with
The preset field data of some existing model are identical or the preset field data of subject under discussion and some existing model to be assessed
Part is identical.
The judgment module 205 inspects result for basis and preset rules judges whether subject under discussion to be assessed will continue open
Hair.
Specifically, the preset rules include:
(1) when the preset field data of subject under discussion to be assessed and all existing models are all different, by the subject under discussion to be assessed
It is judged as new issue, develops corresponding new model.
Specifically, if the predetermined word number of segment of the data of six preset fields of the subject under discussion to be assessed and all existing models
According to completely not identical, indicate that existing model was not directed to issues associated, then the subject under discussion to be assessed is judged as new issue, it can be with
Further develop corresponding new model.
(2) when subject under discussion to be assessed is identical with some existing preset field data of model, by the subject under discussion to be assessed
It is judged as repetition subject under discussion, terminates exploitation.
Specifically, if the predetermined word number of segment of the data of six preset fields of the subject under discussion to be assessed and some existing model
According to identical, indicate that the existing model develops the subject under discussion, then the subject under discussion to be assessed is judged as repetition subject under discussion, no
Need overlapping development again.It in the present embodiment, can also be by " model scene " and " logic bore " the two fields as master
Field is judged, as long as the data of the two fields of " model scene " of the subject under discussion to be assessed and " logic bore " and existing mould
Type is identical (or being included in existing model), then the subject under discussion to be assessed is judged as repetition subject under discussion, terminates exploitation.
(3) when subject under discussion to be assessed is identical as some existing preset field data portion of model, by the subject under discussion to be assessed
It is judged as subject under discussion to be optimized, supplement optimization is carried out according to the proposition to be assessed when this has model modification.
Specifically, if subject under discussion to be assessed is identical as some existing preset field data portion of model, indicate exist and this
Subject under discussion to be assessed is relevant developing or runing in existing model, thereby increases and it is possible to data to be developed when establishing the existing model
(risk point) considers not comprehensive.It is described do not refer to comprehensively the form of expression of the risk is not included in model development logic disposably
In, it will cause the omission of partial risks point, main producing cause is as follows: firstly, the form of expression multiplicity of risk, and with business
Development can constantly change；Secondly, experience or available data resource of the master mould developer in model development is different
Sample；Third causes master mould developer that can not obtain ratio at that time since management of the company to data is lack of standardization or not comprehensive
More comprehensive data resource.It is when subject under discussion to be assessed is identical as some existing preset field data portion of model, this is to be evaluated
Estimate subject under discussion and be judged as subject under discussion to be optimized, (when model subsequent development being developed or is being runed when this has model modification
In model modification iteration when) using the proposition to be assessed and the existing different part of model as the benefit for having model to this
Optimization is filled, to consider that incomplete place carries out leak repairing when having model to this.
In the present embodiment, it includes two kinds of situations that the part is identical:
(1) when the data of the two fields of " model scene " and " logic bore " of the subject under discussion to be assessed, with existing mould
" model scene " data of type are identical, " logic bore " likelihood (identity logic bore number/subject under discussion to be assessed logic bore
Number) when reaching 50% or more, the subject under discussion to be assessed is judged as subject under discussion to be optimized, the optimization as existing model supplements,
Without developing again.
It is worth noting that, the size of threshold values is not included in anomaly statistics when the similarity for carrying out each field is inspected,
That is other data when the field are identical, when the threshold size difference related only to, it is believed that subject under discussion to be assessed and existing mould
Type is identical in the data of the field.Such as: subject under discussion A to be assessed subject under discussion B model scene corresponding with existing model is identical, view
Inscribing A includes 4 rule bores, wherein 1 identical with A, is had 1 " reimbursed sum >=500 yuan ", and subject under discussion B includes 6 rules and regulations
Then bore is not included in the principle of anomaly statistics, subject under discussion A according to the size of threshold values wherein one is " reimbursed sum >=1000 yuan "
" reimbursed sum >=500 yuan " and subject under discussion B " reimbursement finance >=1000 yuan " be considered identical data, then subject under discussion A and subject under discussion B
" logic bore " likelihood is 2/4=50%.Therefore, subject under discussion A is judged as subject under discussion to be optimized, the two other bore of subject under discussion A
(bores different from subject under discussion B) are supplemented as the optimization of the corresponding existing model of subject under discussion B.
(2) when the subject under discussion to be assessed is compared with existing model, only " applicable specialized company " field data is different, remaining five
The data of a field are all the same, then the subject under discussion to be assessed are judged as subject under discussion to be optimized, and the optimization as existing model supplements,
Without developing again.
Model subject under discussion duplicate removal assessment system provided in this embodiment, can before development model by subject under discussion to be assessed and
Existing similarity of the model in preset field is inspected, and is carried out reevaluating to the subject under discussion to be assessed, is continued out for new issue
Hair terminates exploitation for subject under discussion is repeated, results in waste of resources to avoid overlapping development.Also, for subject under discussion to be assessed and some
The identical situation of the preset field data portion of existing model, using the subject under discussion to be assessed with this have the different part of model as
Have the optimization supplement of model to this, considers that incomplete place carries out leak repairing for having model to this, and it is to be evaluated for this
Subject under discussion is estimated without developing again, so as to make existing model more perfect while saving resource.
In addition, the present invention also proposes a kind of model subject under discussion duplicate removal appraisal procedure.
As shown in fig.3, being the flow diagram of model subject under discussion duplicate removal appraisal procedure preferred embodiment of the present invention.In this reality
It applies in example, the execution sequence of the step in flow chart shown in Fig. 3 can change according to different requirements, and certain steps can be with
It omits.
The preset field of model subject under discussion is arranged in step S300.
Specifically, for each Agenda-setting " applicable specialized company " " service link " " concern risk point " " model name "
Preset fields such as " model scene " " logic bores ", subject under discussion and the corresponding subject under discussion of existing model to be assessed require typing every time
The data of the preset field carry out similarity for the subsequent data for each field and inspect, thus find to repeat subject under discussion,
Avoid overlapping development.
Step S302 receives the subject under discussion to be assessed of the data comprising the preset field.
Specifically, when needing for some subject under discussion exploitation new model, each default key of the typing subject under discussion first
The data of word, to carry out reevaluating to the subject under discussion.
Step S304 obtains the data of the corresponding preset field of all existing models.
Specifically, the existing model includes existing runing and model being developed.In order to view to be assessed
Topic carry out reevaluating, need to obtain the data of the corresponding preset field of all existing models, for it is described to be assessed
Subject under discussion carries out similarity and inspects.
The preset field of subject under discussion to be assessed and all existing models is carried out similarity and inspected by step S306.
Specifically, the input of each field can carry out the similar the automatic inspection of keyword, and the range inspected is view to be assessed
The preset field data of the preset field data of topic and all existing models, the similarity is inspected inspects for union, that is, judges
There are unions for the preset field data whether the preset field data of the subject under discussion to be assessed have model with some.Inspect result
There may be three kinds of situations: the preset field data of subject under discussion to be assessed and all existing models are all different, subject under discussion to be assessed with
The preset field data of some existing model are identical or the preset field data of subject under discussion and some existing model to be assessed
Part is identical.
Step S308, according to inspecting result and preset rules judge whether subject under discussion to be assessed wants continual exploitation.
Specifically, the preset rules include:
(1) when the preset field data of subject under discussion to be assessed and all existing models are all different, by the subject under discussion to be assessed
It is judged as new issue, develops corresponding new model.
(2) when subject under discussion to be assessed is identical with some existing preset field data of model, by the subject under discussion to be assessed
It is judged as repetition subject under discussion, terminates exploitation.
(3) when subject under discussion to be assessed is identical as some existing preset field data portion of model, by the subject under discussion to be assessed
It is judged as subject under discussion to be optimized, supplement optimization is carried out according to the proposition to be assessed when this has model modification.
As shown in fig.4, being the refined flow chart of step S308.In the present embodiment, the step S308 is specifically included:
S400, when the preset field data of subject under discussion to be assessed and all existing models are all different, by the view to be assessed
Topic is judged as new issue, develops corresponding new model.
Specifically, if the predetermined word number of segment of the data of six preset fields of the subject under discussion to be assessed and all existing models
According to completely not identical, indicate that existing model was not directed to issues associated, then the subject under discussion to be assessed is judged as new issue, it can be with
Further develop corresponding new model.
S402, when subject under discussion to be assessed is identical with some existing preset field data of model, by the view to be assessed
Topic is judged as repetition subject under discussion, terminates exploitation.
Specifically, if the predetermined word number of segment of the data of six preset fields of the subject under discussion to be assessed and some existing model
According to identical, indicate that the existing model develops the subject under discussion, then the subject under discussion to be assessed is judged as repetition subject under discussion, no
Need overlapping development again.It in the present embodiment, can also be by " model scene " and " logic bore " the two fields as master
Field is judged, as long as the data of the two fields of " model scene " of the subject under discussion to be assessed and " logic bore " and existing mould
Type is identical (or being included in existing model), then the subject under discussion to be assessed is judged as repetition subject under discussion, terminates exploitation.
S404, when subject under discussion to be assessed is identical as some existing preset field data portion of model, by the view to be assessed
Topic is judged as subject under discussion to be optimized, carries out supplement optimization according to the proposition to be assessed when this has model modification.
Specifically, if subject under discussion to be assessed is identical as some existing preset field data portion of model, indicate exist and this
Subject under discussion to be assessed is relevant developing or runing in existing model, thereby increases and it is possible to data to be developed when establishing the existing model
(risk point) considers not comprehensive.It is described do not refer to comprehensively the form of expression of the risk is not included in model development logic disposably
In, it will cause the omission of partial risks point, main producing cause is as follows: firstly, the form of expression multiplicity of risk, and with business
Development can constantly change；Secondly, experience or available data resource of the master mould developer in model development is different
Sample；Third causes master mould developer that can not obtain ratio at that time since management of the company to data is lack of standardization or not comprehensive
More comprehensive data resource.It is when subject under discussion to be assessed is identical as some existing preset field data portion of model, this is to be evaluated
Estimate subject under discussion and be judged as subject under discussion to be optimized, (when model subsequent development being developed or is being runed when this has model modification
In model modification iteration when) using the proposition to be assessed and the existing different part of model as the benefit for having model to this
Optimization is filled, to consider that incomplete place carries out leak repairing when having model to this.
In the present embodiment, it includes two kinds of situations that the part is identical:
(1) when the data of the two fields of " model scene " and " logic bore " of the subject under discussion to be assessed, with existing mould
" model scene " data of type are identical, " logic bore " likelihood (identity logic bore number/subject under discussion to be assessed logic bore
Number) when reaching 50% or more, the subject under discussion to be assessed is judged as subject under discussion to be optimized, the optimization as existing model supplements,
Without developing again.
It is worth noting that, the size of threshold values is not included in anomaly statistics when the similarity for carrying out each field is inspected,
That is other data when the field are identical, when the threshold size difference related only to, it is believed that subject under discussion to be assessed and existing mould
Type is identical in the data of the field.Such as: subject under discussion A to be assessed subject under discussion B model scene corresponding with existing model is identical, view
Inscribing A includes 4 rule bores, wherein 1 identical with A, is had 1 " reimbursed sum >=500 yuan ", and subject under discussion B includes 6 rules and regulations
Then bore is not included in the principle of anomaly statistics, subject under discussion A according to the size of threshold values wherein one is " reimbursed sum >=1000 yuan "
" reimbursed sum >=500 yuan " and subject under discussion B " reimbursement finance >=1000 yuan " be considered identical data, then subject under discussion A and subject under discussion B
" logic bore " likelihood is 2/4=50%.Therefore, subject under discussion A is judged as subject under discussion to be optimized, the two other bore of subject under discussion A
(bores different from subject under discussion B) are supplemented as the optimization of the corresponding existing model of subject under discussion B.
(2) when the subject under discussion to be assessed is compared with existing model, only " applicable specialized company " field data is different, remaining five
The data of a field are all the same, then the subject under discussion to be assessed are judged as subject under discussion to be optimized, and the optimization as existing model supplements,
Without developing again.
Model subject under discussion duplicate removal appraisal procedure provided in this embodiment, can before development model by subject under discussion to be assessed and
Existing similarity of the model in preset field is inspected, and is carried out reevaluating to the subject under discussion to be assessed, is continued out for new issue
Hair terminates exploitation for subject under discussion is repeated, results in waste of resources to avoid overlapping development.Also, for subject under discussion to be assessed and some
The identical situation of the preset field data portion of existing model, using the subject under discussion to be assessed with this have the different part of model as
Have the optimization supplement of model to this, considers that incomplete place carries out leak repairing for having model to this, and it is to be evaluated for this
Subject under discussion is estimated without developing again, so as to make existing model more perfect while saving resource.
The present invention also provides another embodiments, that is, provide a kind of computer readable storage medium, the computer
Readable storage medium storing program for executing is stored with model subject under discussion duplicate removal appraisal procedure, and the model subject under discussion duplicate removal appraisal procedure can be by least one
It manages device to execute, so that at least one described processor is executed such as the step of above-mentioned model subject under discussion duplicate removal appraisal procedure.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When implemented in software, it can entirely or partly realize in the form of a computer program product.
The computer program product includes one or more computer instructions.Load and execute on computers the meter
When calculation machine program instruction, entirely or partly generate according to process or function described in the embodiment of the present invention.The computer can
To be general purpose computer, special purpose computer, computer network or other programmable devices.The computer instruction can be deposited
Storage in a computer-readable storage medium, or from a computer readable storage medium to another computer readable storage medium
Transmission, for example, the computer instruction can pass through wired (example from a web-site, computer, server or data center
Such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)) or wireless (such as infrared, wireless, microwave) mode to another website
Website, computer, server or data center are transmitted.The computer readable storage medium can be computer and can deposit
Any usable medium of storage either includes that the data storages such as one or more usable mediums integrated server, data center are set
It is standby.The usable medium can be magnetic medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or partly lead
Body medium (such as solid state hard disk Solid State Disk (SSD)) etc.
It is apparent to those skilled in the art that for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In several embodiments provided herein, it should be understood that disclosed system, device and method can be with
It realizes by another way.For example, the apparatus embodiments described above are merely exemplary, for example, the unit/mould
The division of block, only a kind of logical function partition, there may be another division manner in actual implementation, for example, multiple units or
Component can be combined or can be integrated into another system, or some features can be ignored or not executed.Another point is shown
The mutual coupling, direct-coupling or communication connection shown or discussed can be through some interfaces, between device or unit
Coupling or communication connection are connect, can be electrical property, mechanical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, each functional unit in each embodiment of the application can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
If the integrated unit is realized in the form of SFU software functional unit and sells or use as independent product
When, it can store in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially
The all or part of the part that contributes to existing technology or the technical solution can be in the form of software products in other words
It embodies, which is stored in a storage medium, including some instructions are used so that a computer
Equipment (can be personal computer, server or the network equipment etc.) executes the complete of each embodiment the method for the application
Portion or part steps.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only
Memory), random access memory (RAM, Random Access Memory), magnetic or disk etc. are various can store journey
The medium of sequence code.
It should be noted that the serial number of the above embodiments of the invention is only for description, do not represent the advantages or disadvantages of the embodiments.And
The terms "include", "comprise" herein or any other variant thereof is intended to cover non-exclusive inclusion, so that packet
Process, device, article or the method for including a series of elements not only include those elements, but also including being not explicitly listed
Other element, or further include for this process, device, article or the intrinsic element of method.Do not limiting more
In the case where, the element that is limited by sentence "including a ...", it is not excluded that including process, device, the article of the element
Or there is also other identical elements in method.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of model subject under discussion duplicate removal appraisal procedure, which is characterized in that the method includes the steps:
The preset field of model subject under discussion is set, with the data of preset field described in the typing when establishing each model subject under discussion；
Receive the subject under discussion to be assessed of the data comprising the preset field；
Obtain the data of the corresponding preset field of all existing models；
The preset field of the subject under discussion to be assessed and all existing models is carried out similarity to inspect, that is, judges the view to be assessed
There are unions for the preset field data whether the preset field data of topic have model with some；And
According to inspecting result and preset rules judge whether the subject under discussion to be assessed wants continual exploitation.
2. model subject under discussion duplicate removal appraisal procedure as described in claim 1, which is characterized in that the result of inspecting includes:
The subject under discussion to be assessed and the preset field data of all existing models are all different；
The subject under discussion to be assessed is identical with some existing preset field data of model；Or
The subject under discussion to be assessed is identical as some existing preset field data portion of model.
3. model subject under discussion duplicate removal appraisal procedure as claimed in claim 2, which is characterized in that the basis is inspected result and preset
Rule judges whether the subject under discussion to be assessed wants the continual exploitation to include:
When the preset field data of the subject under discussion to be assessed and all existing models are all different, the subject under discussion to be assessed is sentenced
Break as new issue, develops corresponding new model；
When the subject under discussion to be assessed is identical with some existing preset field data of model, the subject under discussion to be assessed is sentenced
Disconnected reconsideration topic of attaching most importance to, terminates exploitation；
When the subject under discussion to be assessed is identical as some existing preset field data portion of model, the subject under discussion to be assessed is sentenced
Break as subject under discussion to be optimized, supplement optimization is carried out according to the proposition to be assessed in the existing model modification.
4. model subject under discussion duplicate removal appraisal procedure as described in any one of claims 1-3, which is characterized in that the existing model packet
Include existing runing and model being developed.
5. model subject under discussion duplicate removal appraisal procedure as described in any one of claims 1-3, which is characterized in that the preset field packet
It includes: being applicable in specialized company, service link, concern risk point, model name, model scene, logic bore.
6. model subject under discussion duplicate removal appraisal procedure as claimed in claim 5, which is characterized in that the part is identical to include:
The data of the model scene field of the subject under discussion to be assessed are identical as the model scene field data of the existing model, and
The likelihood of the logic bore field data of the data and existing model of the logic bore field of the subject under discussion to be assessed reaches
To 50% or more, wherein the likelihood refers to identity logic bore number/subject under discussion to be assessed logic bore number.
7. model subject under discussion duplicate removal appraisal procedure as claimed in claim 5, which is characterized in that the part is identical to include:
Only applicable specialized company's field data is different from the existing model for the subject under discussion to be assessed, and the data of remaining field are homogeneous
Together.
8. model subject under discussion duplicate removal appraisal procedure as described in any one of claims 1-3, which is characterized in that examined in the similarity
Depending in, if the subject under discussion to be assessed is identical as other data of the existing model certain field, the threshold size related only to
When different, it is believed that the subject under discussion to be assessed is identical in the data of the field with the existing model.
9. a kind of server, which is characterized in that the server includes memory, processor, and being stored on the memory can
The model subject under discussion duplicate removal assessment system run on the processor, the model subject under discussion duplicate removal assessment system is by the processor
It realizes when execution such as the step of model subject under discussion duplicate removal appraisal procedure of any of claims 1-8.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has model subject under discussion
Duplicate removal assessment system, the model subject under discussion duplicate removal assessment system can be executed by least one processor so that it is described at least one
Processor is executed such as the step of model subject under discussion duplicate removal appraisal procedure of any of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910067845.5A CN109919427A (en) | 2019-01-24 | 2019-01-24 | Model subject under discussion duplicate removal appraisal procedure, server and computer readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910067845.5A CN109919427A (en) | 2019-01-24 | 2019-01-24 | Model subject under discussion duplicate removal appraisal procedure, server and computer readable storage medium |
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|---|---|
| CN109919427A true CN109919427A (en) | 2019-06-21 |
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| CN201910067845.5A Pending CN109919427A (en) | 2019-01-24 | 2019-01-24 | Model subject under discussion duplicate removal appraisal procedure, server and computer readable storage medium |
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| CN107145485A (en) * | 2017-05-11 | 2017-09-08 | 百度国际科技（深圳）有限公司 | Method and apparatus for compressing topic model |
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| CN108875057A (en) * | 2018-06-29 | 2018-11-23 | 北京百度网讯科技有限公司 | For determining the method, apparatus, equipment and computer-readable medium of Data subject |
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| US20160306873A1 (en) * | 2013-12-24 | 2016-10-20 | Huawei Technologies Co., Ltd. | Method and Apparatus for Computing Similarity Between Cross-Field Documents |
| CN107145485A (en) * | 2017-05-11 | 2017-09-08 | 百度国际科技（深圳）有限公司 | Method and apparatus for compressing topic model |
| CN108763485A (en) * | 2018-05-25 | 2018-11-06 | 南京大学 | A kind of chain of evidence relational model construction method of the judgement document based on text similarity |
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