CN109409924A - Account points-scoring system, method, server and computer readable storage medium - Google Patents
Account points-scoring system, method, server and computer readable storage medium Download PDFInfo
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Abstract
The present invention relates to a kind of big data technology, a kind of account points-scoring system, method, server and computer readable storage medium are disclosed.The synchronizing traffic data of the configuration information stored in second server and each account to be scored to big data is handled engine in the scoring request for receiving second server transmission by first server of the present invention；First server control big data processing engine executes calculating based on the business datum of configuration information and each account to be scored, and obtains the scoring score value of each account to be scored；The scoring score value for each account to be scored that big data processing engine is calculated is synchronized to second server as appraisal result by first server.Compared to the prior art, the present invention can efficiently handle huge account data, and quickly calculate scoring score value.
Description
Technical field
The present invention relates to field of computer technology, in particular to a kind of account points-scoring system, method, server and computer
Readable storage medium storing program for executing.
Background technique
According to the data of user account, scored user account using certain code of points, it can be achieved that user
The quantitative assessment of account.In addition, according to the score value of user account also may further be precision marketing, user study, individual service,
Operational decision making etc. provides data and supports.Based on the above advantage, user account scoring processing is increasingly taken seriously in all trades and professions.
But with the expansion of business, account data amount to be treated is also increasingly huge, using traditional relational data
Library can not efficiently handle so huge account data.Therefore, how to improve the efficiency that account scoring calculates and have become one
A urgent problem to be solved.
Summary of the invention
The main object of the present invention is to provide a kind of account points-scoring system, method, server and computer-readable storage medium
Matter, it is intended to improve the efficiency that account scoring calculates.
To achieve the above object, the present invention proposes a kind of account points-scoring system, the account points-scoring system include client,
First server, second server and big data handle engine, and the client and the second server communicate to connect, and institute
First server is stated to connect with the second server and big data processing engine communication respectively, in which:
The first server includes memory and processor, and account scoring procedures are stored on the memory, described
Account scoring procedures realize following steps when being executed by the processor:
First synchronizing step: when receiving the scoring request that the second server is sent, by the second server
The synchronizing traffic data of the configuration information of middle storage and each account to be scored to big data handles engine；
First calculating step: big data processing engine is controlled based on the configuration information and each account to be scored
Business datum executes calculating, obtains the scoring score value of each account to be scored；
Second synchronizing step: the scoring point for each account to be scored that big data processing engine is calculated
Value is synchronized to the second server as appraisal result.
Preferably, the business datum of each account to be scored includes being somebody's turn to do the corresponding several height scorings of account to be scored
Characteristic value, the configuration information include it is pre-set it is main scoring Xiang Yuzi scoring item between mapping relations, Ge Gezhu
Score the main scoring coefficient of item, the son scoring score value computation rule of each height scoring item and son scoring coefficient；
Described first, which calculates step, includes:
First determines step: controlling the big data processing engine according to the son scoring score value meter of each sub- scoring item
The characteristic value for calculating rule and the corresponding each height scoring item of each account to be scored, determines each account pair to be scored
The son scoring score value for several height scoring item answered；
Second determines step: controlling the big data processing engine according to reflecting between the main scoring Xiang Yuzi scoring item
Relationship and the corresponding sub- scoring item of each account to be scored are penetrated, determines the corresponding main scoring of each account to be scored
?；
Query steps: it controls the big data processing engine and inquires each account to be scored in the configuration information
The son scoring system of the main scoring coefficient of corresponding main scoring item and the corresponding each height scoring item of each account to be scored
Number；
Second calculating step: big data processing engine is controlled according to the corresponding each master of each account to be scored
It scores the main scoring coefficient of item and son scoring score value, the son of the corresponding each height scoring item of each account to be scored is commented
Divide coefficient, calculates the scoring score value of each account to be scored.
Preferably, the second calculating step includes:
It is corresponding each according to the first calculation formula and each account to be scored to control the big data processing engine
Son the scoring score value, sub- scoring coefficient of son scoring item calculate the master of the corresponding each main scoring item of each account to be scored
Score score value, and first calculation formula is as follows:
Wherein, SiRepresent the main scoring score value of corresponding i-th of the main scoring item of the account to be scored, Si,kRepresent institute
State i-th it is main scoring item it is corresponding k-th son scoring item son scoring score value, Wi,kIt is corresponding to represent described i-th main scoring item
The son scoring coefficient of k-th of son scoring item, i ∈ [1, N], k ∈ [1, ni], N, which is represented, is somebody's turn to do the corresponding main scoring item of account to be scored
Total number, niRepresent the total number of i-th of main corresponding sub- scoring item of item that scores, i, k, nj、niIt is positive integer；
It is corresponding each according to the second calculation formula and each account to be scored to control the big data processing engine
Main scoring coefficient, the main scoring score value of main scoring item calculate the scoring score value of each account to be scored, and described second calculates
Formula is as follows:
Wherein, S represents the scoring score value of an account to be scored, WiIt represents and is somebody's turn to do corresponding i-th of the main scoring of account to be scored
The main scoring coefficient of item, SiThe main scoring score value of corresponding i-th of the main scoring item of the account to be scored is represented, it is to be evaluated that N represents this
Divide the total number of the corresponding main scoring item of account, i, N are positive integer.
Preferably, the client is used for:
When the configuration information for receiving user's transmission generates request or configuration information update is requested, user's input is obtained
The configuration information；
The configuration information is sent to the second server, deposits the configuration information for the second server
Storage processing.
Preferably, the second server is used for:
The scoring request that the client is sent is received, and scoring request transfer is sent to the first service
Device；And
The appraisal result transfer is sent to the client, shows the appraisal result for the client.
In addition, to achieve the above object, the present invention also proposes a kind of account methods of marking, it is suitable for first server, it should
Method includes:
First synchronizing step: it in the scoring request for receiving second server transmission, will be deposited in the second server
The synchronizing traffic data of the configuration information of storage and each account to be scored to big data handles engine；
First calculates step: control big data handles business of the engine based on the configuration information and each account to be scored
Data execute calculating, obtain the scoring score value of each account to be scored；
Second synchronizing step: the scoring score value for each account to be scored that big data processing engine is calculated is made
Second server is synchronized to for appraisal result.
Preferably, the business datum of each account to be scored includes being somebody's turn to do the corresponding several height scorings of account to be scored
Characteristic value, the configuration information include it is pre-set it is main scoring Xiang Yuzi scoring item between mapping relations, Ge Gezhu
Score the main scoring coefficient of item, the son scoring score value computation rule of each height scoring item and son scoring coefficient；
Described first, which calculates step, includes:
First determines step: controlling the big data processing engine according to the son scoring score value meter of each sub- scoring item
The characteristic value for calculating rule and the corresponding each height scoring item of each account to be scored, determines each account pair to be scored
The son scoring score value for several height scoring item answered；
Second determines step: controlling the big data processing engine according to reflecting between the main scoring Xiang Yuzi scoring item
Relationship and the corresponding sub- scoring item of each account to be scored are penetrated, determines the corresponding main scoring of each account to be scored
?；
Query steps: it controls the big data processing engine and inquires each account to be scored in the configuration information
The son scoring system of the main scoring coefficient of corresponding main scoring item and the corresponding each height scoring item of each account to be scored
Number；
Second calculating step: big data processing engine is controlled according to the corresponding each master of each account to be scored
It scores the main scoring coefficient of item and son scoring score value, the son of the corresponding each height scoring item of each account to be scored is commented
Divide coefficient, calculates the scoring score value of each account to be scored.
Preferably, the second calculating step includes:
Control big data processing engine is commented according to the first calculation formula and the corresponding each height of each account to be scored
Son the scoring score value, sub- scoring coefficient of subitem calculate the main scoring of the corresponding each main scoring item of each account to be scored
Score value, first calculation formula are as follows:
Wherein, SiRepresent the main scoring score value of corresponding i-th of the main scoring item of the account to be scored, Si,kRepresent institute
State i-th it is main scoring item it is corresponding k-th son scoring item son scoring score value, Wi,kIt is corresponding to represent described i-th main scoring item
The son scoring coefficient of k-th of son scoring item, i ∈ [1, N], k ∈ [1, ni], N, which is represented, is somebody's turn to do the corresponding main scoring item of account to be scored
Total number, niRepresent the total number of i-th of main corresponding sub- scoring item of item that scores, i, k, nj、niIt is positive integer；
Control big data processing engine is commented according to the second calculation formula and the corresponding each master of each account to be scored
Main scoring coefficient, the main scoring score value of subitem calculate the scoring score value of each account to be scored, second calculation formula
It is as follows:
Wherein, S represents the scoring score value of an account to be scored, WiIt represents and is somebody's turn to do corresponding i-th of the main scoring of account to be scored
The main scoring coefficient of item, SiThe main scoring score value of corresponding i-th of the main scoring item of the account to be scored is represented, it is to be evaluated that N represents this
Divide the total number of the corresponding main scoring item of account, i, N are positive integer.
In addition, to achieve the above object, the present invention also proposes that a kind of server, the server include memory and processing
Device is stored with account scoring procedures on the memory, realizes when the account scoring procedures are executed by the processor as follows
Step:
First synchronizing step: it in the scoring request for receiving second server transmission, will be deposited in the second server
The synchronizing traffic data of the configuration information of storage and each account to be scored to big data handles engine；
First calculates step: control big data handles business of the engine based on the configuration information and each account to be scored
Data execute calculating, obtain the scoring score value of each account to be scored；
Second synchronizing step: the scoring score value for each account to be scored that big data processing engine is calculated is made
Second server is synchronized to for appraisal result.
Preferably, the business datum of each account to be scored includes being somebody's turn to do the corresponding several height scorings of account to be scored
Characteristic value, the configuration information include it is pre-set it is main scoring Xiang Yuzi scoring item between mapping relations, Ge Gezhu
Score the main scoring coefficient of item, the son scoring score value computation rule of each height scoring item and son scoring coefficient；
Described first, which calculates step, includes:
First determines step: controlling the big data processing engine according to the son scoring score value meter of each sub- scoring item
The characteristic value for calculating rule and the corresponding each height scoring item of each account to be scored, determines each account pair to be scored
The son scoring score value for several height scoring item answered；
Second determines step: controlling the big data processing engine according to reflecting between the main scoring Xiang Yuzi scoring item
Relationship and the corresponding sub- scoring item of each account to be scored are penetrated, determines the corresponding main scoring of each account to be scored
?；
Query steps: it controls the big data processing engine and inquires each account to be scored in the configuration information
The son scoring system of the main scoring coefficient of corresponding main scoring item and the corresponding each height scoring item of each account to be scored
Number；
Second calculating step: big data processing engine is controlled according to the corresponding each master of each account to be scored
It scores the main scoring coefficient of item and son scoring score value, the son of the corresponding each height scoring item of each account to be scored is commented
Divide coefficient, calculates the scoring score value of each account to be scored.
Preferably, the second calculating step includes:
Control big data processing engine is commented according to the first calculation formula and the corresponding each height of each account to be scored
Son the scoring score value, sub- scoring coefficient of subitem calculate the main scoring of the corresponding each main scoring item of each account to be scored
Score value, first calculation formula are as follows:
Wherein, SiRepresent the main scoring score value of corresponding i-th of the main scoring item of the account to be scored, Si,kRepresent institute
State i-th it is main scoring item it is corresponding k-th son scoring item son scoring score value, Wi,kIt is corresponding to represent described i-th main scoring item
The son scoring coefficient of k-th of son scoring item, i ∈ [1, N], k ∈ [1, ni], N, which is represented, is somebody's turn to do the corresponding main scoring item of account to be scored
Total number, niRepresent the total number of i-th of main corresponding sub- scoring item of item that scores, i, k, nj、niIt is positive integer；
Control big data processing engine is commented according to the second calculation formula and the corresponding each master of each account to be scored
Main scoring coefficient, the main scoring score value of subitem calculate the scoring score value of each account to be scored, second calculation formula
It is as follows:
Wherein, S represents the scoring score value of an account to be scored, WiIt represents and is somebody's turn to do corresponding i-th of the main scoring of account to be scored
The main scoring coefficient of item, SiThe main scoring score value of corresponding i-th of the main scoring item of the account to be scored is represented, it is to be evaluated that N represents this
Divide the total number of the corresponding main scoring item of account, i, N are positive integer.
In addition, to achieve the above object, the present invention also proposes a kind of computer readable storage medium, described computer-readable
Storage medium is stored with account scoring procedures, and the account scoring procedures can be executed by least one processor so that it is described extremely
A step of few processor executes account methods of marking as described in any one of the above embodiments.
First server of the present invention is when receiving the scoring request that the second server is sent, by the second service
The synchronizing traffic data of the configuration information and each account to be scored that store in device to big data handles engine；First server control
It makes the big data processing engine and calculating is executed based on the business datum of the configuration information and each account to be scored, obtain each
The scoring score value of a account to be scored；First server by big data processing engine be calculated it is each it is described to
The scoring score value of scoring account is synchronized to the second server as appraisal result.Compared to the prior art, the present invention first
The business datum of configuration information and account to be scored is synchronized to big data processing engine from second server by server, and is controlled
Big data processing engine carries out the calculating of scoring score value, since big data processing engine has powerful data-handling capacity, because
This, can efficiently handle huge account data, and quickly calculate scoring score value.Further, since have can for configuration information
Configurability, therefore, when computation rule changes, it is not necessary to modify calculation codes, only need to update configuration information, facilitate
User uses, and is suitable for plurality of application scenes.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
The structure shown according to these attached drawings obtains other attached drawings.
Fig. 1 is the system architecture schematic diagram of account points-scoring system first embodiment of the present invention；
Fig. 2 is the running environment schematic diagram of account scoring procedures first embodiment of the present invention；
Fig. 3 is the Program modual graph of account scoring procedures first embodiment of the present invention；
Fig. 4 is the elaborator module map of computing module in Fig. 3；
Fig. 5 is the flow diagram of account methods of marking first embodiment of the present invention；
Fig. 6 is the refinement flow diagram of step S20 in Fig. 5；
Fig. 7 is the flow diagram of account methods of marking second embodiment of the present invention.
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
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the invention.
As shown in fig.1, being the system architecture schematic diagram of account points-scoring system first embodiment of the present invention.
In the present embodiment, the account points-scoring system include first server 1, big data processing engine 2 (for example,
It is the data warehouse base frame of storage system based on distribution that Hive, Hive, which are a kind of), second server 3 is (for example, Oracle
Server, Oracle are a relational database management systems of Oracle) and client 4, the client 4 with it is described
Second server 3 communicates to connect, and the first server 1 is drawn with the second server 3 and big data processing respectively
Hold up 2 communication connections, in which:
The first server 1 is used for:
When receiving the scoring request that the second server 3 is sent, the configuration that will be stored in the second server 3
The synchronizing traffic data of information and each account to be scored to big data handles engine 2；
The big data processing engine 2 is controlled to execute based on the business datum of the configuration information and each account to be scored
It calculates, obtains the scoring score value of each account to be scored；
The scoring score value for each account to be scored that big data processing engine 2 is calculated is tied as scoring
Fruit is synchronized to the second server 3.
Above-mentioned first server 1 can be realized at second server 3 and big data by running pre-stored synchronous script
The data for managing engine 2 are synchronous.
In addition, above-mentioned first server 1 can control the big data processing and draw by running pre-stored calculating script
It holds up 2 business datums based on the configuration information and each account to be scored and executes calculating.
The present embodiment first server 1 is when receiving the scoring request that the second server 3 is sent, by described second
The synchronizing traffic data of the configuration information and each account to be scored that store in server 3 to big data handles engine 2；First clothes
Business device 1 controls the big data processing engine 2 based on the execution of the business datum of the configuration information and each account to be scored
It calculates, obtains the scoring score value of each account to be scored；Big data processing engine 2 is calculated first server 1
The scoring score value of each account to be scored be synchronized to the second server 3 as appraisal result.Compared to existing skill
The business datum of configuration information and account to be scored is synchronized to big number from second server 3 by art, the present embodiment first server 1
According to processing engine 2, and the calculating that big data processing engine 2 carries out scoring score value is controlled, since big data processing engine 2 is with strong
Therefore big data-handling capacity can efficiently handle huge account data, and quickly calculate scoring score value.In addition,
Since configuration information has configurability, when computation rule changes, it is not necessary to modify calculation code, only need to update
Configuration information, it is convenient for users, and it is suitable for plurality of application scenes.
Further, in this embodiment the business datum of each account to be scored includes being somebody's turn to do account to be scored to correspond to
Several height scoring item characteristic value, the configuration information include it is pre-set it is main scoring Xiang Yuzi scoring item between reflecting
Penetrate relationship, it is each it is main scoring item main scoring coefficient, each height scoring item son scoring score value computation rule and son scoring coefficient.
Wherein, above-mentioned main scoring item can illustrate are as follows: account, order, air control.
The corresponding sub- scoring item of above-mentioned main scoring item " account " includes but is not limited to that age of user, holds at the account age
Number.
The corresponding sub- scoring item of above-mentioned main scoring item " order " includes but is not limited to enliven number of days, lower single liveness, recently
It places an order away from number of days today, product class number, order total amount, order total amount, daily lower odd number, order average amount, successfully payment gold
Volume successfully pays stroke count, order conversion ratio, wholesale accounting.
The corresponding sub- scoring item of above-mentioned main scoring item " air control " includes but is not limited to hit regular rate, air control interception rate.
Further, in this embodiment the first server 1 is also used to:
Big data processing engine 2 is controlled according to the son scoring score value computation rule of each sub- scoring item and each
The characteristic value of the corresponding each height scoring item of the account to be scored determines the corresponding several height of each account to be scored
The son scoring score value of scoring item；
Big data processing engine 2 is controlled according to mapping relations between the main scoring Xiang Yuzi scoring item and each
The corresponding sub- scoring item of the account to be scored determines the corresponding main scoring item of each account to be scored；
It controls big data processing engine 2 and inquires the corresponding master of each account to be scored in the configuration information
Score the main scoring coefficient of item and the son scoring coefficient of the corresponding each height scoring item of each account to be scored；
Big data processing engine 2 is controlled to be commented according to the master of the corresponding each main scoring item of each account to be scored
Son the scoring score value, sub- scoring coefficient of point coefficient and the corresponding each height scoring item of each account to be scored, calculate each
The scoring score value of a account to be scored.
Further, in this embodiment above-mentioned configuration information further includes several corresponding characteristic values of each height scoring item
Mapping relations between range, sub- scoring score value and the range of characteristic values of son scoring item, the son of above-mentioned each sub- scoring item
Scoring score value computation rule include:
According to several the corresponding range of characteristic values of each height scoring item being pre-stored in configuration information, determine each
Range of characteristic values where the characteristic value of the corresponding each height scoring item of account to be scored, and according to being pre-stored within configuration information
In son scoring score value and son scoring item range of characteristic values between mapping relations, determine that each account to be scored is corresponding each
The son scoring score value of height scoring item.
Further, in this embodiment first server 1 is also used to:
It is corresponding each according to the first calculation formula and each account to be scored to control the big data processing engine 2
Son the scoring score value, sub- scoring coefficient of son scoring item calculate the master of the corresponding each main scoring item of each account to be scored
Score score value, and first calculation formula is as follows:
Wherein, SiRepresent the main scoring score value of corresponding i-th of the main scoring item of the account to be scored, Si,kRepresent institute
State i-th it is main scoring item it is corresponding k-th son scoring item son scoring score value, Wi,kIt is corresponding to represent described i-th main scoring item
The son scoring coefficient of k-th of son scoring item, i ∈ [1, N], k ∈ [1, ni], N, which is represented, is somebody's turn to do the corresponding main scoring item of account to be scored
Total number, niRepresent the total number of i-th of main corresponding sub- scoring item of item that scores, i, k, nj、niIt is positive integer；
It is corresponding each according to the second calculation formula and each account to be scored to control the big data processing engine 2
Main scoring coefficient, the main scoring score value of main scoring item calculate the scoring score value of each account to be scored, and described second calculates
Formula is as follows:
Wherein, S represents the scoring score value of an account to be scored, WiIt represents and is somebody's turn to do corresponding i-th of the main scoring of account to be scored
The main scoring coefficient of item, SiThe main scoring score value of corresponding i-th of the main scoring item of the account to be scored is represented, it is to be evaluated that N represents this
Divide the total number of the corresponding main scoring item of account, i, N are positive integer.
Further, in this embodiment client 4 is used for:
When the configuration information for receiving user's transmission generates request or configuration information update is requested, user's input is obtained
The configuration information；
The configuration information is sent to the second server 3.
The second server 3 is used for:
The configuration information that the client 4 is sent is received, and the configuration information is subjected to storage processing.
In the present embodiment, user can be according to specifically needing that configuration information is arranged, without remodifying calculation code, letter
Change user's operation, and is suitable for plurality of application scenes.
In the present embodiment, client 4 is also used to:
The scoring request is sent to the second server 3；And receive the scoring that the second server 3 returns
As a result.
The second server 3 is used for:
The scoring request that the client 4 is sent is received, and scoring request transfer is sent to the first service
Device 1；And
The appraisal result transfer is sent to the client 4, shows the appraisal result for the client 4.
The present invention proposes a kind of account scoring procedures.
Referring to Fig. 2, being the running environment schematic diagram of 10 first embodiment of account scoring procedures of the present invention.
In the present embodiment, account scoring procedures 10 are installed and are run in first server 1.The first server 1 can
It include but are not limited to, the memory 11 and processor 12 being in communication with each other by program bus.Fig. 2 is illustrated only with component
11,12 first server 1, it should be understood that being not required for implementing all components shown, the implementation that can be substituted is more
More or less component.
Memory 11 can be the internal storage unit of first server 1, such as the first service in some embodiments
The hard disk or memory of device 1.Memory 11 is also possible to the External memory equipment of first server 1, example in further embodiments
Such as the plug-in type hard disk being equipped in first server 1, intelligent memory card (Smart Media Card, SMC), secure digital
(Secure Digital, SD) card, flash card (Flash Card) etc..Further, memory 11 can also both include first
The internal storage unit of server 1 also includes External memory equipment.Memory 11 is installed on answering for first server 1 for storing
With software and Various types of data, such as the program code of account scoring procedures 10 etc..Memory 11 can be also used for temporarily storing
The data that has exported or will export.
Processor 12 can be in some embodiments a central processing unit (Central Processing Unit,
CPU), microprocessor or other data processing chips, program code or processing data for being stored in run memory 11, example
Such as execute account scoring procedures 10.
Referring to Fig. 3, being the Program modual graph of 10 first embodiment of account scoring procedures of the present invention.In the present embodiment,
Account scoring procedures 10 can be divided into one or more modules, one or more module is stored in memory 11,
And it is performed by one or more processors (the present embodiment is processor 12), to complete the present invention.For example, in Fig. 3, account
Scoring procedures 10 can be divided into the first synchronization module 101, computing module 102 and the second synchronization module 103.Alleged by the present invention
Module be refer to complete specific function series of computation machine PROGRAMMED REQUESTS section, than program more suitable for description account scoring
Implementation procedure of the program 10 in first server 1, in which:
First synchronization module 101, when for being requested in the scoring for receiving the second server transmission, by described second
The synchronizing traffic data of the configuration information and each account to be scored that store in server to big data handles engine.
Above-mentioned scoring request is sent to second server by client, and is sent to first by second server transfer and synchronizes
Module 101.
Computing module 102 is based on the configuration information and each account to be scored for controlling the big data processing engine
The business datum at family executes calculating, obtains the scoring score value of each account to be scored.
Above-mentioned computing module 102 can control the big data processing engine base by running pre-stored calculating script
Calculating is executed in the business datum of the configuration information and each account to be scored.
Further, in this embodiment the business datum of each account to be scored includes being somebody's turn to do account to be scored to correspond to
Several height scoring item characteristic value, the configuration information include it is pre-set it is main scoring Xiang Yuzi scoring item between reflecting
Penetrate relationship, it is each it is main scoring item main scoring coefficient, each height scoring item son scoring score value computation rule and son scoring coefficient.
Wherein, above-mentioned main scoring item can illustrate are as follows: account, order, air control.
The corresponding sub- scoring item of above-mentioned main scoring item " account " includes but is not limited to that age of user, holds at the account age
Number.
The corresponding sub- scoring item of above-mentioned main scoring item " order " includes but is not limited to enliven number of days, lower single liveness, recently
It places an order away from number of days today, product class number, order total amount, order total amount, daily lower odd number, order average amount, successfully payment gold
Volume successfully pays stroke count, order conversion ratio, wholesale accounting.
The corresponding sub- scoring item of above-mentioned main scoring item " air control " includes but is not limited to hit regular rate, air control interception rate.
Further, referring to Fig. 4, in the present embodiment, the computing module 102 includes: the first determination unit 1021, second
Determination unit 1022, query unit 1023 and computing unit 1024, in which:
First determination unit 1021 is commented for controlling the big data processing engine according to the son of each sub- scoring item
The characteristic value of point score value computation rule and the corresponding each height scoring item of each account to be scored, determines each described to be evaluated
Divide the son scoring score value of the corresponding several height scoring items of account.
Further, in this embodiment above-mentioned configuration information further includes several corresponding characteristic values of each height scoring item
Mapping relations between range, sub- scoring score value and the range of characteristic values of son scoring item.
Above-mentioned each sub- scoring item son scoring score value computation rule include:
According to several the corresponding range of characteristic values of each height scoring item being pre-stored in configuration information, determine each
Range of characteristic values where the characteristic value of the corresponding each height scoring item of account to be scored, and according to being pre-stored within configuration information
In son scoring score value and son scoring item range of characteristic values between mapping relations, determine that each account to be scored is corresponding each
The son scoring score value of height scoring item.
Second determination unit 1022, for controlling the big data processing engine according to the main scoring Xiang Yuzi scoring item
Between mapping relations and the corresponding sub- scoring item of each account to be scored, determine that each account to be scored is corresponding
Main scoring item.
Query unit 1023, for control big data processing engine inquired in the configuration information it is each it is described to
The main scoring coefficient of the corresponding main scoring item of the account that scores and the corresponding each height scoring item of each account to be scored
Son scoring coefficient.
Computing unit 1024, it is corresponding each according to each account to be scored for controlling the big data processing engine
The son scoring score value of the main scoring coefficient of a main scoring item and the corresponding each height scoring item of each account to be scored,
Son scoring coefficient calculates the scoring score value of each account to be scored.
Further, in this embodiment the computing unit 1024 is also used to:
It is corresponding each according to the first calculation formula and each account to be scored to control the big data processing engine
Son the scoring score value, sub- scoring coefficient of son scoring item calculate the master of the corresponding each main scoring item of each account to be scored
Score score value, and first calculation formula is as follows:
Wherein, SiRepresent the main scoring score value of corresponding i-th of the main scoring item of the account to be scored, Si,kRepresent institute
State i-th it is main scoring item it is corresponding k-th son scoring item son scoring score value, Wi,kIt is corresponding to represent described i-th main scoring item
The son scoring coefficient of k-th of son scoring item, i ∈ [1, N], k ∈ [1, ni], N, which is represented, is somebody's turn to do the corresponding main scoring item of account to be scored
Total number, niRepresent the total number of i-th of main corresponding sub- scoring item of item that scores, i, k, nj、niIt is positive integer.
It is corresponding each according to the second calculation formula and each account to be scored to control the big data processing engine
Main scoring coefficient, the main scoring score value of main scoring item calculate the scoring score value of each account to be scored, and described second calculates
Formula is as follows:
Wherein, S represents the scoring score value of an account to be scored, WiIt represents and is somebody's turn to do corresponding i-th of the main scoring of account to be scored
The main scoring coefficient of item, SiThe main scoring score value of corresponding i-th of the main scoring item of the account to be scored is represented, it is to be evaluated that N represents this
Divide the total number of the corresponding main scoring item of account, i, N are positive integer.
It should be noted that the present embodiment is not to the first determination unit 1021, the second determination unit 1022 and query unit
1023 calling sequence is defined, and can be configured according to specific application scenarios.
Computing module 103, each account to be scored for big data processing engine to be calculated are commented
Divide score value as appraisal result and be synchronized to the second server, the appraisal result transfer is sent to institute for second server
Client is stated to be shown.
Above-mentioned first synchronization module 101 and the second synchronization module 103 can be realized by running pre-stored synchronous script
Second server is synchronous with the big data processing data of engine.
The present embodiment will be stored when receiving the scoring request that the second server is sent in the second server
Configuration information and each account to be scored synchronizing traffic data to big data handle engine；The big data processing is controlled to draw
It holds up the business datum based on the configuration information and each account to be scored and executes calculating, obtain each account to be scored
Score score value；The scoring score value for each account to be scored that big data processing engine is calculated is tied as scoring
Fruit is synchronized to the second server.Compared to the prior art, the present embodiment is by configuration information and the business number of account to be scored
It is synchronized to big data processing engine according to from second server, and controls the calculating that big data processing engine carries out scoring score value, by
There is powerful data-handling capacity in big data processing engine, therefore, can efficiently handle huge account data, and quickly
Calculate scoring score value.Further, since configuration information has configurability, therefore, when computation rule changes, it is not necessarily to
Calculation code is modified, only need to update configuration information, it is convenient for users, and it is suitable for plurality of application scenes.
Further it is proposed that a kind of account methods of marking.
As shown in figure 5, Fig. 5 is the flow diagram of account methods of marking first embodiment of the present invention.
In the present embodiment, this method comprises:
Step S10, first server take when receiving the scoring request that the second server is sent by described second
The synchronizing traffic data of the configuration information stored and each account to be scored to big data in device of being engaged in handles engine.
Above-mentioned first server can realize that second server and big data are handled by running pre-stored synchronous script
The data of engine are synchronous.
Further, in this embodiment this method further comprises the steps of: before step S10
Client sends scoring request to second server, sends the scoring request extremely for the second server transfer
First server.
Step S20, first server control big data processing engine and are based on the configuration information and each wait score
The business datum of account executes calculating, obtains the scoring score value of each account to be scored.
Above-mentioned first server can control the big data processing engine and be based on by running pre-stored calculating script
The business datum of the configuration information and each account to be scored executes calculating.
Further, in this embodiment the business datum of each account to be scored includes being somebody's turn to do account to be scored to correspond to
Several height scoring item characteristic value, the configuration information include it is pre-set it is main scoring Xiang Yuzi scoring item between reflecting
Penetrate relationship, it is each it is main scoring item main scoring coefficient, each height scoring item son scoring score value computation rule and son scoring coefficient.
Wherein, above-mentioned main scoring item can illustrate are as follows: account, order, air control.
The corresponding sub- scoring item of above-mentioned main scoring item " account " includes but is not limited to that age of user, holds at the account age
Number.
The corresponding sub- scoring item of above-mentioned main scoring item " order " includes but is not limited to enliven number of days, lower single liveness, recently
It places an order away from number of days today, product class number, order total amount, order total amount, daily lower odd number, order average amount, successfully payment gold
Volume successfully pays stroke count, order conversion ratio, wholesale accounting.
The corresponding sub- scoring item of above-mentioned main scoring item " air control " includes but is not limited to hit regular rate, air control interception rate.
Further, referring to Fig. 6, in the present embodiment, the step S20 includes:
Step S21, first server control the big data processing engine and are scored according to the son of each sub- scoring item
The characteristic value of score value computation rule and the corresponding each height scoring item of each account to be scored, determines each described wait score
The son scoring score value of the corresponding several height scoring items of account.
Further, in this embodiment above-mentioned configuration information further includes several corresponding characteristic values of each height scoring item
Mapping relations between range, sub- scoring score value and the range of characteristic values of son scoring item.
Above-mentioned each sub- scoring item son scoring score value computation rule include:
According to several the corresponding range of characteristic values of each height scoring item being pre-stored in configuration information, determine each
Range of characteristic values where the characteristic value of the corresponding each height scoring item of account to be scored, and according to being pre-stored within configuration information
In son scoring score value and son scoring item range of characteristic values between mapping relations, determine that each account to be scored is corresponding each
The son scoring score value of height scoring item.
Step S22, first server control big data processing engine according to the main scoring Xiang Yuzi score item it
Between mapping relations and the corresponding sub- scoring item of each account to be scored, determine the corresponding master of each account to be scored
Score item.
Step S23, the first server control big data processing engine are inquired each described in the configuration information
The main scoring coefficient of the corresponding main scoring item of account to be scored and the corresponding each height of each account to be scored score item
Son scoring coefficient.
Step S24, it is corresponding according to each account to be scored that first server controls the big data processing engine
The son scoring point of the main scoring coefficient of each main scoring item and the corresponding each height scoring item of each account to be scored
Value, sub- scoring coefficient calculate the scoring score value of each account to be scored.
Further, in this embodiment the step S24 includes:
First server controls the big data processing engine according to the first calculation formula and each account to be scored
Son the scoring score value, sub- scoring coefficient of corresponding each height scoring item calculate the corresponding each master of each account to be scored
The main scoring score value of scoring item, first calculation formula are as follows:
Wherein, SiRepresent the main scoring score value of corresponding i-th of the main scoring item of the account to be scored, Si,kRepresent institute
State i-th it is main scoring item it is corresponding k-th son scoring item son scoring score value, Wi,kIt is corresponding to represent described i-th main scoring item
The son scoring coefficient of k-th of son scoring item, i ∈ [1, N], k ∈ [1, ni], N, which is represented, is somebody's turn to do the corresponding main scoring item of account to be scored
Total number, niRepresent the total number of i-th of main corresponding sub- scoring item of item that scores, i, k, nj、niIt is positive integer.
First server controls the big data processing engine according to the second calculation formula and each account to be scored
Main scoring coefficient, the main scoring score value of corresponding each main scoring item, calculate the scoring score value of each account to be scored, institute
It is as follows to state the second calculation formula:
Wherein, S represents the scoring score value of an account to be scored, WiIt represents and is somebody's turn to do corresponding i-th of the main scoring of account to be scored
The main scoring coefficient of item, SiThe main scoring score value of corresponding i-th of the main scoring item of the account to be scored is represented, it is to be evaluated that N represents this
Divide the total number of the corresponding main scoring item of account, i, N are positive integer.
It should be noted that the present embodiment is not defined the execution sequencing of step S21, S22 and S23, it can root
It is configured according to specific application scenarios.
Step S30, each account to be scored that big data processing engine is calculated first server
Score value score as appraisal result and is synchronized to the second server.
Further, in this embodiment this method further comprises the steps of: after step S30
The appraisal result transfer is sent to the client by second server, shows the scoring for the client
As a result.
The present embodiment first server takes when receiving the scoring request that the second server is sent by described second
The synchronizing traffic data of the configuration information stored and each account to be scored to big data in device of being engaged in handles engine；First server
It controls the big data processing engine and calculating is executed based on the business datum of the configuration information and each account to be scored, obtain
The scoring score value of each account to be scored；First server big data processing engine is calculated each described
The scoring score value of account to be scored is synchronized to the second server as appraisal result.Compared to the prior art, the present embodiment
The business datum of configuration information and account to be scored is synchronized to big data processing engine from second server by first server, and
Control big data processing engine carries out the calculating of scoring score value, since big data processing engine has powerful data processing energy
Therefore power can efficiently handle huge account data, and quickly calculate scoring score value.Further, since configuration information has
Standby configurability, therefore, when computation rule changes, it is not necessary to modify calculation codes, only need to update configuration information, side
User use, and be suitable for plurality of application scenes.
As shown in fig. 7, Fig. 7 is the flow diagram of account methods of marking second embodiment of the present invention.
The present embodiment is on the basis of first embodiment, this method further include:
Step S40, client receive user transmission configuration information generate request or configuration information update request when,
Obtain the configuration information of user's input.
Step S50, the client transmission configuration information to the second server will be described for the second server
Configuration information carries out storage processing.
In the present embodiment, user can be according to specifically needing that configuration information is arranged, without remodifying calculation code, letter
Change user's operation, and is suitable for plurality of application scenes.
Further, the present invention also proposes that a kind of computer readable storage medium, the computer readable storage medium are deposited
Account scoring procedures are contained, the account scoring procedures can be executed by least one processor, so that at least one described processing
Device executes the step of account methods of marking in above-mentioned first embodiment.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all at this
Under the inventive concept of invention, using equivalent structure transformation made by description of the invention and accompanying drawing content, or directly/use indirectly
It is included in other related technical areas in scope of patent protection of the invention.
Claims (10)
1. a kind of account points-scoring system, which is characterized in that the account points-scoring system includes client, first server, second
Server and big data handle engine, and the client and the second server communicate to connect, and the first server point
It is not connect with the second server and big data processing engine communication, in which:
The first server includes memory and processor, and account scoring procedures, the account are stored on the memory
Scoring procedures realize following steps when being executed by the processor:
First synchronizing step: it when receiving the scoring request that the second server is sent, will be deposited in the second server
The synchronizing traffic data of the configuration information of storage and each account to be scored to big data handles engine；
First calculating step: the big data processing business of the engine based on the configuration information and each account to be scored is controlled
Data execute calculating, obtain the scoring score value of each account to be scored；
Second synchronizing step: the scoring score value for each account to be scored that big data processing engine is calculated is made
The second server is synchronized to for appraisal result.
2. account points-scoring system as described in claim 1, which is characterized in that the business data packet of each account to be scored
The characteristic value of the corresponding several height scoring items of the account to be scored is included, the configuration information includes pre-set main scoring item
Mapping relations between sub- scoring item, the main scoring coefficient of each main scoring item, each height scoring item son scoring score value meter
Calculate rule and son scoring coefficient；
Described first, which calculates step, includes:
First determines step: controlling the big data processing engine according to the son scoring score value of each sub- scoring item and calculates rule
Then and the characteristic value of the corresponding each height scoring item of each account to be scored, determine that each account to be scored is corresponding
The son scoring score value of several height scoring items；
Second determines step: controlling the big data processing engine and is closed according to the mapping between the main scoring Xiang Yuzi scoring item
System and the corresponding sub- scoring item of each account to be scored determine the corresponding main scoring item of each account to be scored；
Query steps: it controls the big data processing engine and inquires each account correspondence to be scored in the configuration information
Main scoring item main scoring coefficient and the corresponding each height scoring item of each account to be scored son scoring coefficient；
Second calculating step: big data processing engine is controlled according to the corresponding each main scoring of each account to be scored
Main scoring coefficient and the corresponding each height scoring item of each account to be scored son scoring score value, sub- scoring system
Number calculates the scoring score value of each account to be scored.
3. account points-scoring system as claimed in claim 2, which is characterized in that described second, which calculates step, includes:
Big data processing engine is controlled to be commented according to the first calculation formula and the corresponding each height of each account to be scored
Son the scoring score value, sub- scoring coefficient of subitem calculate the main scoring of the corresponding each main scoring item of each account to be scored
Score value, first calculation formula are as follows:
Wherein, SiRepresent the main scoring score value of corresponding i-th of the main scoring item of the account to be scored, Si,kRepresent described i-th
It is a it is main scoring item it is corresponding k-th son scoring item son scoring score value, Wi,kIt is k-th corresponding to represent described i-th main scoring item
The son scoring coefficient of son scoring item, i ∈ [1, N], k ∈ [1, ni], N represents total of the corresponding main scoring item of the account to be scored
Number, niRepresent the total number of i-th of main corresponding sub- scoring item of item that scores, i, k, nj、niIt is positive integer；
Big data processing engine is controlled to be commented according to the second calculation formula and the corresponding each master of each account to be scored
Main scoring coefficient, the main scoring score value of subitem calculate the scoring score value of each account to be scored, second calculation formula
It is as follows:
Wherein, S represents the scoring score value of an account to be scored, WiRepresent the master of corresponding i-th of the main scoring item of the account to be scored
Score coefficient, SiThe main scoring score value of corresponding i-th of the main scoring item of the account to be scored is represented, N is represented should account be scored
The total number of corresponding main scoring item, i, N are positive integer.
4. account points-scoring system as claimed any one in claims 1 to 3, which is characterized in that the client is used for:
When the configuration information for receiving user's transmission generates request or configuration information update is requested, the described of user's input is obtained
Configuration information；
The configuration information is sent to the second server, carries out the configuration information at storage for the second server
Reason.
5. account points-scoring system as claimed any one in claims 1 to 3, which is characterized in that the second server is used for:
The scoring request that the client is sent is received, and scoring request transfer is sent to the first server；With
And
The appraisal result transfer is sent to the client, shows the appraisal result for the client.
6. a kind of account methods of marking is suitable for first server, which is characterized in that this method comprises:
First synchronizing step: in the scoring request for receiving second server transmission, by what is stored in the second server
The synchronizing traffic data of configuration information and each account to be scored to big data handles engine；
First calculates step: control big data handles business datum of the engine based on the configuration information and each account to be scored
Calculating is executed, the scoring score value of each account to be scored is obtained；
Second synchronizing step: using the scoring score value for each account to be scored that big data processing engine is calculated as commenting
Point result is synchronized to second server.
7. account methods of marking as claimed in claim 6, which is characterized in that the business data packet of each account to be scored
The characteristic value of the corresponding several height scoring items of the account to be scored is included, the configuration information includes pre-set main scoring item
Mapping relations between sub- scoring item, the main scoring coefficient of each main scoring item, each height scoring item son scoring score value meter
Calculate rule and son scoring coefficient；
Described first, which calculates step, includes:
First determine step: control big data processing engine according to each sub- scoring item son scoring score value computation rule and
The characteristic value of the corresponding each height scoring item of each account to be scored, determines that each account to be scored is corresponding several
The son scoring score value of height scoring item；
Second determine step: control big data processing engine according to it is described it is main scoring Xiang Yuzi scoring item between mapping relations and
The corresponding sub- scoring item of each account to be scored determines the corresponding main scoring item of each account to be scored；
Query steps: control big data processing engine inquires the corresponding master of each account to be scored in the configuration information
Score the main scoring coefficient of item and the son scoring coefficient of the corresponding each height scoring item of each account to be scored；
Second calculates step: control big data processing engine is according to the corresponding each main scoring item of each account to be scored
Son the scoring score value, sub- scoring coefficient of main scoring coefficient and the corresponding each height scoring item of each account to be scored, meter
Calculate the scoring score value of each account to be scored.
8. account methods of marking as claimed in claim 7, which is characterized in that described second, which calculates step, includes:
Big data processing engine is controlled to be scored item according to the first calculation formula and the corresponding each height of each account to be scored
Son scoring score value, sub- scoring coefficient, calculate the main scoring score value of the corresponding each main scoring item of each account to be scored,
First calculation formula is as follows:
Wherein, SiRepresent the main scoring score value of corresponding i-th of the main scoring item of the account to be scored, Si,kRepresent described i-th
It is a it is main scoring item it is corresponding k-th son scoring item son scoring score value, Wi,kIt is k-th corresponding to represent described i-th main scoring item
The son scoring coefficient of son scoring item, i ∈ [1, N], k ∈ [1, ni], N represents total of the corresponding main scoring item of the account to be scored
Number, niRepresent the total number of i-th of main corresponding sub- scoring item of item that scores, i, k, nj、niIt is positive integer；
Big data processing engine is controlled according to the second calculation formula and the corresponding each main scoring item of each account to be scored
Main scoring coefficient, main scoring score value, calculate the scoring score value of each account to be scored, second calculation formula is such as
Under:
Wherein, S represents the scoring score value of an account to be scored, WiRepresent the master of corresponding i-th of the main scoring item of the account to be scored
Score coefficient, SiThe main scoring score value of corresponding i-th of the main scoring item of the account to be scored is represented, N is represented should account be scored
The total number of corresponding main scoring item, i, N are positive integer.
9. a kind of server, the server includes memory and processor, which is characterized in that is stored with account on the memory
Family scoring procedures are realized as described in any one of claim 6-8 when the account scoring procedures are executed by the processor
Account methods of marking the step of.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has account scoring
Program, the account scoring procedures can be executed by least one processor, so that at least one described processor executes such as right
It is required that described in any one of 6-8 the step of account methods of marking.
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| CN110866698A (en) * | 2019-11-14 | 2020-03-06 | 北京京东尚科信息技术有限公司 | Device for assessing service score of service provider |
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