CN109447674A - Electronic device, insurance agent target service area determine method and storage medium - Google Patents
Electronic device, insurance agent target service area determine method and storage medium Download PDFInfo
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Abstract
The present invention proposes that electronic device, insurance agent target service area determine method and storage medium, which comprises obtains the service data information of the insurance agent；The service data information of acquisition is analyzed according to the monitor model that preparatory training is completed, to obtain the service label of the insurance agent；Similitude between the zone user label of the service label and predetermined each target service area that are obtained according to predetermined similarity analysis rule analysis has the target area of Priority Service according to the determining similarity analysis insurance agent；The zone identification information of the target area is sent to the client of the insurance agent, so that the insurance agent selects the target service area.Insurance agent's management can be carried out according to the tag attributes of insurance agent, improve procuratorial business efficiency, be conducive to the high speed development of insurance industry.
Description
Technical field
The present invention relates to insurance agent's management domain more particularly to a kind of electronic devices, insurance agent's destination service
Area determination method and storage medium.
Background technique
With the enhancing of people's insurance awareness, insurance industry has also obtained development at full speed.However, current insurance agent
Also there is certain blindness for the selection of target service area, it can not be by the client of the actual conditions of itself and target area
Distribution is efficiently matched, for example, being currently by by client's phase by taking the telemarketing business of insurance agent's progress as an example
After closing information labels, each telemarketing personnel are distributed to according to the mode provided at random, and telemarketing personnel can only be according to obtaining
The customer information obtained carries out corresponding telemarketing, causes sales force that cannot play the marketing being respectively good at well, reduces
The success rate of sale.To sum up, to the traffic assignments of insurance agent, there are certain drawbacks at present, are unfavorable for the high speed hair of industry
Exhibition demand.
Summary of the invention
In view of this, the present invention proposes that a kind of electronic device, insurance agent target service area determine method and storage
Medium can be improved procuratorial business efficiency, be conducive to the high speed development of insurance industry.
Firstly, to achieve the above object, the present invention proposes a kind of electronic device, the electronic device include memory and
The processor connecting with the memory, the processor are used to execute the insurance agent's target clothes stored on the memory
Business region determines program, and the insurance agent target service area, which determines, realizes following step when program is executed by the processor
It is rapid:
A1, after receiving the request for obtaining target service area that insurance agent sends, obtain the insurance agent's
Service data information；
A2, the service data information of acquisition is analyzed according to the monitor model that training is completed in advance, to obtain the guarantor
The procuratorial service label in danger；
A3, the service label obtained according to predetermined similarity analysis rule analysis and predetermined each target
Similitude between the zone user label of coverage, if having the zone user label and the business mark of target service area
The similitude of label is greater than or equal to predefined similarity threshold, it is determined that the insurance agent has the Priority Service target area
The permission in domain；
A4, the client that the zone identification information of the target area is sent to the insurance agent, for the insurance generation
Reason person selects the target service area.
Preferably, in the step A2, the monitor model that the preparatory training is completed is density-based algorithms,
The step A2 includes:
Respectively using each service feature data as the centre data of a cluster, using predefined time interval as cluster half
Diameter forms multiple clusters；
Judge to cluster distribution a little in each cluster respectively, if be only distributed in a cluster less than the first preset quantity
Cluster points, it is determined that the service feature data in the cluster are scatterplot, and the scatterplot corresponds to insurance agent's degree of association not
High service feature data, by the service feature data in the cluster not as the service label of the insurance agent；
If the cluster points greater than first preset quantity are distributed in a cluster, then it is assumed that the business in the cluster is special
It levies data and the degree of association of the insurance agent is higher, using the service feature data in the cluster as the business of the insurance agent
Label.
Preferably, in the step A3, the business obtained according to predetermined similarity analysis rule analysis
The step of similitude between label and the zone user label of predetermined each target service area includes:
The service label of the insurance agent is normalized, with obtain the service label of the insurance agent to
Measure a；
Each region user tag is normalized respectively, to obtain different zone user label vector bi；
By vector a and each vector biCosine similarity calculation formula is substituted into, respectively to calculate outgoing vector a respectively at each
Vector biSimilitude.
Preferably, the described the step of service label of the insurance agent is normalized, includes:
Initial value is assigned respectively according to the service label that predefined assignment rule is the insurance agent, to obtain difference
The corresponding business numerical value of service label；
Obtained each business numerical value is ranked up according to predefined ordering rule, obtains First ray value；
The sum of each numerical value in the First ray value is calculated, is removed respectively with each numerical value in the First ray value
With the sum of the numerical value being calculated, the second sequential value is generated, the corresponding vector of second sequential value is the vector
a。
Preferably, described the step of each region user tag is normalized, includes:
It is that each region user tag assigns initial value respectively according to the predefined assignment rule, it is different to obtain
The corresponding area label numerical value of zone user label；
Obtained each region label numerical value is ranked up according to the predefined ordering rule respectively, is obtained each
The corresponding third sequential value of area label numerical value；
The sum of each area label numerical value in each third sequential value is calculated separately, to obtain corresponding each region number of tags
The sum of value；
Respectively with each region label numerical value in the third sequential value divided by the corresponding region label numerical value being calculated
Sum, generate the 4th different sequential values；The corresponding vector of 4th sequential value is the vector bi。
In addition, to achieve the above object, the present invention proposes that a kind of insurance agent target service area determines method, described
Method includes the following steps:
S1, after receiving the request for obtaining target service area that insurance agent sends, obtain the insurance agent's
Service data information；
S2, the service data information of acquisition is analyzed according to the monitor model that training is completed in advance, to obtain the guarantor
The procuratorial service label in danger；
S3, the service label obtained according to predetermined similarity analysis rule analysis and predetermined each target
Similitude between the zone user label of coverage, if having the zone user label and the business mark of target service area
The similitude of label is greater than or equal to predefined similarity threshold, it is determined that the insurance agent has the Priority Service target area
The permission in domain；
S4, the client that the zone identification information of the target area is sent to the insurance agent, for the insurance generation
Reason person selects the target service area.
Preferably, in the step S2, the monitor model that the preparatory training is completed is density-based algorithms,
The step S2 includes:
Respectively using each service feature data as the centre data of a cluster, using predefined time interval as cluster half
Diameter forms multiple clusters；
Judge to cluster distribution a little in each cluster respectively, if be only distributed in a cluster less than the first preset quantity
Cluster points, it is determined that the service feature data in the cluster are scatterplot, and the scatterplot corresponds to insurance agent's degree of association not
High service feature data, by the service feature data in the cluster not as the service label of the insurance agent；
If the cluster points greater than first preset quantity are distributed in a cluster, then it is assumed that the business in the cluster is special
It levies data and the degree of association of the insurance agent is higher, using the service feature data in the cluster as the business of the insurance agent
Label.
Preferably, in the step A3, the business obtained according to predetermined similarity analysis rule analysis
The step of similitude between label and the zone user label of predetermined each target service area includes:
The service label of the insurance agent is normalized, with obtain the service label of the insurance agent to
Measure a；
Each region user tag is normalized respectively, to obtain different zone user label vector bi；
By vector a and each vector biCosine similarity calculation formula is substituted into, respectively to calculate outgoing vector a respectively at each
Vector biSimilitude.
Preferably, the described the step of service label of the insurance agent is normalized, includes:
Initial value is assigned respectively according to the service label that predefined assignment rule is the insurance agent, to obtain difference
The corresponding business numerical value of service label；
Obtained each business numerical value is ranked up according to predefined ordering rule, obtains First ray value；
The sum of each numerical value in the First ray value is calculated, is removed respectively with each numerical value in the First ray value
With the sum of the numerical value being calculated, the second sequential value is generated, the corresponding vector of second sequential value is the vector
a；
Described the step of each region user tag is normalized includes:
It is that each region user tag assigns initial value respectively according to the predefined assignment rule, it is different to obtain
The corresponding area label numerical value of zone user label；
Obtained each region label numerical value is ranked up according to the predefined ordering rule respectively, is obtained each
The corresponding third sequential value of area label numerical value；
The sum of each area label numerical value in each third sequential value is calculated separately, to obtain corresponding each region number of tags
The sum of value；
Respectively with each region label numerical value in the third sequential value divided by the corresponding region label numerical value being calculated
Sum, generate the 4th different sequential values；The corresponding vector of 4th sequential value is the vector bi。
In addition, to achieve the above object, the present invention proposes a kind of computer readable storage medium, described computer-readable to deposit
Storage media is stored with insurance agent target service area and determines program, and the insurance agent target service area determines program
It can be executed by least one processor, so that at least one described processor executes insurance agent's destination service as described above
The step of area determination method.
Electronic device proposed by the invention, insurance agent target service area determine method and storage medium, first
After the request of acquisition target service area for receiving insurance agent's transmission, the business datum letter of the insurance agent is obtained
Breath；Then the service data information of acquisition is analyzed according to the monitor model that training is completed in advance, to obtain insurance generation
Manage the service label of people；Secondly the service label obtained according to predetermined similarity analysis rule analysis with it is predetermined
Similitude between the zone user label of each target service area, if having zone user label and the institute of target service area
The similitude for stating service label is greater than or equal to predefined similarity threshold, it is determined that the insurance agent has Priority Service
The permission of the target area；The zone identification information of the target area is finally sent to the client of the insurance agent, with
The target service area is selected for the insurance agent.Insurance agent's pipe can be carried out according to the tag attributes of insurance agent
Reason, improves procuratorial business efficiency, is conducive to the high speed development of insurance industry.
Detailed description of the invention
Fig. 1 is the schematic diagram of the optional hardware structure of electronic device one proposed by the present invention；
Fig. 2 is the program module that insurance agent target service area determines program in one embodiment of electronic device of the present invention
Schematic diagram；
Fig. 3 is the implementation flow chart that insurance agent target service area of the present invention determines method preferred embodiment.
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 optional hardware structure schematic diagram of electronic device one proposed by the present invention.In the present embodiment,
Electronic device 10 may include, but be not limited only to, and connection memory 11, processor 12, net can be in communication with each other by communication bus 14
Network interface 13.It should be pointed out that Fig. 1 illustrates only the electronic device 10 with component 11-14, it should be understood that simultaneously
All components shown realistic are not applied, the implementation that can be substituted is more or less component.
Wherein, memory 11 includes at least a type of computer readable storage medium, computer readable storage medium
Including flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory etc.), random access storage device (RAM), quiet
State random access storage device (SRAM), electrically erasable programmable read-only memory (EEPROM), can be compiled read-only memory (ROM)
Journey read-only memory (PROM), magnetic storage, disk, CD etc..In some embodiments, memory 11 can be electronics dress
Set 10 internal storage unit, such as the hard disk or memory of electronic device 10.In further embodiments, memory 11 can also be with
It is the outer packet storage device of electronic device 10, such as the plug-in type hard disk being equipped on electronic device 10, intelligent memory card (Smart
Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card) etc..Certainly, it stores
Device 11 can also both including electronic device 10 internal storage unit and also including its outer packet storage device.In the present embodiment, storage
Device 11 is installed on the operating system and types of applications software of electronic device 10, such as insurance agent's target clothes commonly used in storage
Business region determines program etc..It has exported or will export all kinds of in addition, memory 11 can be also used for temporarily storing
Data.
Processor 12 can be in some embodiments central processing unit (Central Processing Unit, CPU),
Controller, microcontroller, microprocessor or other data processing chips.Processor 12 is commonly used in control electronic device 10
Overall operation.In the present embodiment, program code or processing data of the processor 12 for being stored in run memory 11, such as
The insurance agent target service area of operation determines program etc..
Network interface 13 may include radio network interface or wired network interface, and network interface 13 is commonly used in filling in electronics
It sets and establishes communication connection between 10 and other electronic equipments.
Communication bus 14 is for realizing the communication connection between component 11-13.
Fig. 1 illustrates only the electronic device that program is determined with component 11-14 and insurance agent target service area
10, it should be understood that it is not required for implementing all components shown, more or less groups of the implementation that can be substituted
Part.
Optionally, electronic device 10 can also include user interface (not shown in figure 1), and user interface may include display
Device, input unit such as keyboard, wherein user interface can also be including standard wireline interface and wireless interface etc..
Optionally, in some embodiments, display can be light-emitting diode display, liquid crystal display, touch control type LCD and show
Device and OLED touch device etc..Further, display is alternatively referred to as display screen or display unit, for being shown in electronic device
Information is handled in 10 and for showing visual user interface.
Optionally, in some embodiments, electronic device 10 can also include that audio unit (does not show in audio unit Fig. 1
Out), audio unit can be in call signal reception pattern, call mode, logging mode, speech recognition mould in electronic device 10
When under the isotypes such as formula, broadcast reception mode, received or storage audio data is converted into audio signal；Further
Ground, electronic device 10 can also include audio output unit, and the audio signal that audio output unit converts audio unit exports,
And audio output unit can also provide the relevant audio output of specific function that executes to electronic device 10 (such as calling is believed
Number receive sound, message sink sound etc.), audio output unit may include loudspeaker, buzzer etc..
Optionally, in some embodiments, electronic device 10 can also include alarm unit (not shown), alarm list
Member can provide output and the generation of event is notified electron device 10.Typical event may include calling reception, message
Reception, key signals input, touch input etc..Other than audio or video export, alarm unit can be with different sides
Formula provides output with the generation of notification event.For example, alarm unit can provide output in the form of vibration, exhaled when receiving
Cry, message or it is some other can make electronic device 10 enter communication pattern when, alarm unit can provide tactile output (that is,
Vibration) to notify to user.
In one embodiment, the insurance agent target service area stored in memory 11 determines program by processor 12
When execution, following operation is realized:
A1, after receiving the request for obtaining target service area that insurance agent sends, obtain the insurance agent's
Service data information；
Specifically, insurance agent refers to the delegable according to the insurer, acts on behalf of it and manages insurance business, and collects generation
The people of reason expense.Insurance agent carries out business activity in the range of the insurer authorizes with the name of the insurer, including solicits
The promotion activity of business, receives to insure, and founds binder or insurance policy out, withholds insurance premium, and agency surveys Claims Resolution etc..Agency
Expense is paid generally according to portfolio ratio.According to scope of business difference, insurance agent can be divided into general agent, place agency
People and surveying agent etc..The mode of agency has the only dedicated proxies for agent for insurance company's business, and independent management can be same
When for more agent for insurance company's business independent agency etc..In the present embodiment, insurance agent, which refers to, is mainly engaged in insurance
The sales force of sales service.It is understood that performance of the insurance company generally for examination insurance agent, in business pipe
The service data information of each insurance agent is stored in reason system, it in the present embodiment, can be from the business of insurance company
The service data information of the insurance agent is got in management system.It specifically, can be according to the identity of the insurance agent
Identification information, such as telephone number, name, work number, are inquired in the business management system, to inquire and the body
The service data information that part identification information matches, specifically, in the present embodiment, the service data information includes multiple industry
Business characteristic, the service feature data have respectively gone out the client gender of declaration form, age, occupation, place city, declaration form class
Not etc..
A2, the service data information of acquisition is analyzed according to the monitor model that training is completed in advance, to obtain the guarantor
The procuratorial service label in danger；
Specifically, in the present embodiment, the monitor model that the preparatory training is completed is clustering algorithm, such as based on density
Clustering algorithm.Cluster point can be carried out to the service data information of the insurance agent using density-based algorithms
Analysis, specifically, respectively using each service feature data of the insurance agent as a cluster, and the number occurred with each cluster
Polymerization analysis is carried out, multiple clusters are obtained.Include centre data and cluster radius in each cluster, also includes in each cluster
Others cluster point, other described cluster points are distributed in using the centre data as the center of circle, using the cluster radius as the circle of radius
It is interior, represent the density value of centre data appearance.In the present embodiment, in respectively using each service feature data as a cluster
Calculation evidence forms multiple clusters using predefined time interval as cluster radius, can judge minute of cluster point in each cluster respectively
Cloth, if the cluster points less than the first preset quantity are only distributed in a cluster, such as 4 scatterplot, then it is assumed that in the cluster
Service feature data are scatterplot, and the scatterplot corresponds to the not high service feature data of insurance agent's degree of association, by the cluster
In service feature data not as the insurance agent service label；If be distributed in a cluster pre- greater than described first
If the cluster of quantity is counted, then it is assumed that service feature data in the cluster and the degree of association of the insurance agent are higher, by the cluster
In service label of the service feature data as the insurance agent.
A3, the service label obtained according to predetermined similarity analysis rule analysis and predetermined each target
Similitude between the zone user label of coverage, if having the zone user label and the business mark of target service area
The similitude of label is greater than or equal to predefined similarity threshold, it is determined that the insurance agent has the Priority Service target area
The permission in domain；
It is understood that in the present embodiment, the determination method of the zone user label includes:
Historical user's behavioral data of target area is obtained, and extracts being used for of including in historical user's behavioral data
The label keyword of user tag is described；In the present embodiment, the label keyword includes at least one of the following: user year
Age, gender, occupation, area, the information of purchase insurance, online shopping record etc.；
Clustering is carried out according to the label keyword that predetermined clustering algorithm will acquire, to obtain the target area
The zone user label in domain；It is understood that the user of a target area can have multiple regions user tag, Ke Yiding
The multiple regions user tag of the same target area of justice is user tag collection, and by determining that service label and user are marked respectively
The similitude between each region user tag concentrated is signed, to determine whether insurance agent has the Priority Service target area
The permission in domain.The predetermined clustering algorithm can be partitioning, stratification, density algorithm, graph theory clustering method, grid and calculate
The common clustering algorithm such as method and model algorithm, does not do specific detailed description in the present embodiment.
The service label obtained according to predetermined similarity analysis rule analysis and predetermined each mesh
The step of marking the similitude between the zone user label of coverage includes: to return the service label of the insurance agent
One change processing, the corresponding primary vector a of service label to obtain the insurance agent；Respectively by each region user tag into
Row normalized, to obtain the corresponding secondary vector b of different zone user labelsi, wherein 0,1,2 ... n of i；
By vector a and each vector biCosine similarity calculation formula is substituted into, respectively to calculate outgoing vector a respectively at each vector bi's
Similitude；Further, the cosine similarity calculation formula are as follows:
Wherein, vector a is the corresponding primary vector of the procuratorial service label of Insurance personnel, vector biFor region use
The corresponding secondary vector of family label, in the present embodiment, vector a are that place is normalized in the service label of insurance agent
Reason, obtained primary vector, vector biFor the secondary vector obtained later is normalized in zone user label.
Specifically, the described the step of service label of the insurance agent is normalized, includes:
Initial value is assigned respectively according to the service label that predefined assignment rule is the insurance agent, to obtain not
The corresponding business numerical value with service label；
Obtained each business numerical value is ranked up according to predefined ordering rule, obtains First ray value；
The sum of each numerical value in the First ray value is calculated, is removed respectively with each numerical value in the First ray value
With the sum of the numerical value being calculated, the second sequential value is generated；The corresponding vector of second sequential value is the vector
a。
Described the step of each region user tag is normalized includes:
It is that each region user tag assigns initial value respectively according to the predefined assignment rule, to obtain not
The corresponding area label numerical value with region user tag；
Obtained each region label numerical value is ranked up according to the predefined ordering rule respectively, is obtained each
The corresponding third sequential value of area label numerical value；
The sum of each area label numerical value in each third sequential value is calculated separately, to obtain corresponding each region number of tags
The sum of value；
Respectively with each region label numerical value in the third sequential value divided by the corresponding region label numerical value being calculated
Sum, generate the 4th different sequential values；The corresponding vector of 4th sequential value is the vector bi。
Specifically, the predefined assignment rule can be, such as the gender of predefined user is that female is then assigned a value of 1,
The gender of user is that male is then assigned a value of 1, and further, such as the occupation of predefined user is that teacher is then assigned a value of 2, the duty of user
Industry is that doctor is then assigned a value of 3 etc.；The predefined ordering rule can be, such as age, gender, occupation, area, declaration form
Information etc..Due to the Insurance personnel service label and the zone user label be normalized
In the process, using identical assignment rule and ordering rule, so after normalized, it can be according to similarity analysis side
Method is analyzed to obtain the similitude between the service label and the zone user label, thus similar according to what is be calculated
Property, further determine that the permission whether Insurance personnel there is preferential selection to service the target area.
A4, the client that the zone identification information of the target area is sent to the Insurance personnel, for the insurance
Practitioner selects the target service area.
Specifically, in the present embodiment, the zone identification information of the target area can be, preparatory customized mark
Information, such as predefined area code, area identification building name, the title etc. in region.
By above-mentioned thing embodiment it is found that electronic device proposed by the present invention, is firstly received obtaining for insurance agent's transmission
After taking the request of target service area, the service data information of the insurance agent is obtained；Then it is completed according to training in advance
Monitor model analyzes the service data information of acquisition, to obtain the service label of the insurance agent；Secondly according to pre-
It uses in the region of service label and predetermined each target service area that first determining similarity analysis rule analysis obtains
Similitude between the label of family, if having a zone user label of target service area and the similitude of the service label be greater than or
Equal to predefined similarity threshold, it is determined that the insurance agent has the permission of the Priority Service target area；Finally will
The zone identification information of the target area is sent to the client of the insurance agent, so that the insurance agent selects the target
Coverage.Insurance agent's management can be carried out according to the tag attributes of insurance agent, improve procuratorial business efficiency,
Be conducive to the high speed development of insurance industry.
In addition, insurance agent target service area of the invention determines function that program is realized according to its each section not
Together, it can be described with program module with the same function.It please refers to shown in Fig. 2, is one embodiment of electronic device of the present invention
Middle insurance agent target service area determines the program module schematic diagram of program.In the present embodiment, insurance agent's target clothes
Business region determines the difference for the function that program is realized according to its each section, can be divided into and obtain module 201, analysis module
202, determining module 203 and sending module 204.By above description it is found that the so-called program module of the present invention is to refer to
The series of computation machine program instruction section for completing specific function, than program more suitable for describing insurance agent target service area
Determine implementation procedure of the program in electronic device 10.The functions or operations step that the module 201-204 is realized with it is upper
Text is similar, and and will not be described here in detail, illustratively, such as wherein:
Module 201 is obtained to be used to divide the service data information of acquisition according to the monitor model that training is completed in advance
Analysis, to obtain the service label of the insurance agent；
Analysis module 202 is used to obtain the content information of each Email in the mailing list information respectively, and
Word segmentation processing is carried out according to content information of the preset participle mode to acquisition, to extract the content information of each Email
Corresponding keyword；
Service label that determining module 203 is used to be obtained according to predetermined similarity analysis rule analysis and in advance really
Similitude between the zone user label of fixed each target service area, if there is the zone user label of target service area
It is greater than or equal to predefined similarity threshold with the similitude of the service label, it is determined that the insurance agent has preferential
Service the permission of the target area；
Sending module 204 is used to for the zone identification information of the target area being sent to the client of the Insurance personnel
End, so that the Insurance personnel selects the target service area.
In addition, the present invention also proposes that a kind of insurance agent target service area determines method, please refer to shown in Fig. 3, institute
It states insurance agent target service area and determines that method includes the following steps:
S301, after receiving the request for obtaining target service area that insurance agent sends, the insurance agent is obtained
Service data information；
Specifically, insurance agent refers to the delegable according to the insurer, acts on behalf of it and manages insurance business, and collects generation
The people of reason expense.Insurance agent carries out business activity in the range of the insurer authorizes with the name of the insurer, including solicits
The promotion activity of business, receives to insure, and founds binder or insurance policy out, withholds insurance premium, and agency surveys Claims Resolution etc..Agency
Expense is paid generally according to portfolio ratio.According to scope of business difference, insurance agent can be divided into general agent, place agency
People and surveying agent etc..The mode of agency has the only dedicated proxies for agent for insurance company's business, and independent management can be same
When for more agent for insurance company's business independent agency etc..In the present embodiment, insurance agent, which refers to, is mainly engaged in insurance
The sales force of sales service.It is understood that performance of the insurance company generally for examination insurance agent, in business pipe
The service data information of each insurance agent is stored in reason system, it in the present embodiment, can be from the business of insurance company
The service data information of the insurance agent is got in management system.It specifically, can be according to the identity of the insurance agent
Identification information, such as telephone number, name, work number, are inquired in the business management system, to inquire and the body
The service data information that part identification information matches, specifically, in the present embodiment, the service data information includes multiple industry
Business characteristic, the service feature data have respectively gone out the client gender of declaration form, age, occupation, place city, declaration form class
Not etc..
S302, the service data information of acquisition is analyzed according to the monitor model that training is completed in advance, to be somebody's turn to do
The service label of insurance agent；
Specifically, in the present embodiment, the monitor model that the preparatory training is completed is clustering algorithm, such as based on density
Clustering algorithm.Cluster point can be carried out to the service data information of the insurance agent using density-based algorithms
Analysis, specifically, respectively using each service feature data of the insurance agent as a cluster, and the number occurred with each cluster
Polymerization analysis is carried out, multiple clusters are obtained.Include centre data and cluster radius in each cluster, also includes in each cluster
Others cluster point, other described cluster points are distributed in using the centre data as the center of circle, using the cluster radius as the circle of radius
It is interior, represent the density value of centre data appearance.In the present embodiment, in respectively using each service feature data as a cluster
Calculation evidence forms multiple clusters using predefined time interval as cluster radius, can judge minute of cluster point in each cluster respectively
Cloth, if the cluster points less than the first preset quantity are only distributed in a cluster, such as 4 scatterplot, then it is assumed that in the cluster
Service feature data are scatterplot, and the scatterplot corresponds to the not high service feature data of insurance agent's degree of association, by the cluster
In service feature data not as the insurance agent service label；If be distributed in a cluster pre- greater than described first
If the cluster of quantity is counted, then it is assumed that service feature data in the cluster and the degree of association of the insurance agent are higher, by the cluster
In service label of the service feature data as the insurance agent.
S303, the service label and predetermined each mesh obtained according to predetermined similarity analysis rule analysis
The similitude between the zone user label of coverage is marked, if having the zone user label of target service area and the business
The similitude of label is greater than or equal to predefined similarity threshold, it is determined that the insurance agent has the Priority Service target
The permission in region；
It is understood that in the present embodiment, the determination method of the zone user label includes:
Historical user's behavioral data of target area is obtained, and extracts being used for of including in historical user's behavioral data
The label keyword of user tag is described；In the present embodiment, the label keyword includes at least one of the following: user year
Age, gender, occupation, area, the information of purchase insurance, online shopping record etc.；
Clustering is carried out according to the label keyword that predetermined clustering algorithm will acquire, to obtain the target area
The zone user label in domain；It is understood that the user of a target area can have multiple regions user tag, Ke Yiding
The multiple regions user tag of the same target area of justice is user tag collection, and by determining that service label and user are marked respectively
The similitude between each region user tag concentrated is signed, to determine whether insurance agent has the Priority Service target area
The permission in domain.The predetermined clustering algorithm can be partitioning, stratification, density algorithm, graph theory clustering method, grid and calculate
The common clustering algorithm such as method and model algorithm, does not do specific detailed description in the present embodiment.
The service label obtained according to predetermined similarity analysis rule analysis and predetermined each mesh
The step of marking the similitude between the zone user label of coverage includes: to return the service label of the insurance agent
One change processing, the corresponding primary vector a of service label to obtain the insurance agent；Respectively by each region user tag into
Row normalized, to obtain the corresponding secondary vector b of different zone user labelsi, wherein 0,1,2 ... n of i；
By vector a and each vector biCosine similarity calculation formula is substituted into, respectively to calculate outgoing vector a respectively at each vector bi's
Similitude；Further, the cosine similarity calculation formula are as follows:
Wherein, vector a is the corresponding primary vector of the procuratorial service label of Insurance personnel, vector biFor region use
The corresponding secondary vector of family label, in the present embodiment, vector a are that place is normalized in the service label of insurance agent
Reason, obtained primary vector, vector biFor the secondary vector obtained later is normalized in zone user label.
Specifically, the described the step of service label of the insurance agent is normalized, includes:
Initial value is assigned respectively according to the service label that predefined assignment rule is the insurance agent, to obtain not
The corresponding business numerical value with service label；
Obtained each business numerical value is ranked up according to predefined ordering rule, obtains First ray value；
The sum of each numerical value in the First ray value is calculated, is removed respectively with each numerical value in the First ray value
With the sum of the numerical value being calculated, the second sequential value is generated；The corresponding vector of second sequential value is the vector
a。
Described the step of each region user tag is normalized includes:
It is that each region user tag assigns initial value respectively according to the predefined assignment rule, to obtain not
The corresponding area label numerical value with region user tag；
Obtained each region label numerical value is ranked up according to the predefined ordering rule respectively, is obtained each
The corresponding third sequential value of area label numerical value；
The sum of each area label numerical value in each third sequential value is calculated separately, to obtain corresponding each region number of tags
The sum of value；
Respectively with each region label numerical value in the third sequential value divided by the corresponding region label numerical value being calculated
Sum, generate the 4th different sequential values；The corresponding vector of 4th sequential value is the vector bi。
Specifically, the predefined assignment rule can be, such as the gender of predefined user is that female is then assigned a value of 1,
The gender of user is that male is then assigned a value of 1, and further, such as the occupation of predefined user is that teacher is then assigned a value of 2, the duty of user
Industry is that doctor is then assigned a value of 3 etc.；The predefined ordering rule can be, such as age, gender, occupation, area, declaration form
Information etc..Due to the Insurance personnel service label and the zone user label be normalized
In the process, using identical assignment rule and ordering rule, so after normalized, it can be according to similarity analysis side
Method is analyzed to obtain the similitude between the service label and the zone user label, thus similar according to what is be calculated
Property, further determine that the permission whether Insurance personnel there is preferential selection to service the target area.
S304, the client that the zone identification information of the target area is sent to the Insurance personnel, for the guarantor
Dangerous practitioner selects the target service area.
Specifically, in the present embodiment, the zone identification information of the target area can be, preparatory customized mark
Information, such as predefined area code, area identification building name, the title etc. in region.
By above-mentioned thing embodiment it is found that insurance agent target service area proposed by the present invention determines method, connect first
After the request of acquisition target service area for receiving insurance agent's transmission, the service data information of the insurance agent is obtained；
Then the service data information of acquisition is analyzed according to the monitor model that training is completed in advance, to obtain the insurance agent
Service label；Secondly the service label obtained according to predetermined similarity analysis rule analysis with it is predetermined each
Similitude between the zone user label of target service area, if having the zone user label of target service area and the industry
The similitude of business label is greater than or equal to predefined similarity threshold, it is determined that the insurance agent has the Priority Service mesh
Mark the permission in region；The zone identification information of the target area is finally sent to the client of the insurance agent, for this
Insurance agent selects the target service area.Insurance agent's management can be carried out according to the tag attributes of insurance agent,
Procuratorial business efficiency is improved, the high speed development of insurance industry is conducive to.
In addition, the present invention also proposes a kind of computer readable storage medium, stored on the computer readable storage medium
There is insurance agent target service area to determine program, the insurance agent target service area determines that program is held by processor
Following operation is realized when row:
After the request of acquisition target service area for receiving insurance agent's transmission, the business of the insurance agent is obtained
Data information；
The service data information of acquisition is analyzed according to the monitor model that preparatory training is completed, to obtain insurance generation
Manage the service label of people；
The service label and predetermined each target obtained according to predetermined similarity analysis rule analysis takes
Similitude between the zone user label in business region, if having the zone user label and the service label of target service area
Similitude be greater than or equal to predefined similarity threshold, it is determined that the insurance agent have the Priority Service target area
Permission；
The zone identification information of the target area is sent to the client of the insurance agent, for the insurance agent
Select the target service area.
Computer readable storage medium of the present invention is firstly received the acquisition target service area of insurance agent's transmission
After request, the service data information of the insurance agent is obtained；Then according to the monitor model that training is completed in advance to acquisition
Service data information is analyzed, to obtain the service label of the insurance agent；Secondly according to predetermined similitude point
It is similar between the service label and the zone user label of predetermined each target service area that analysis rule analysis obtains
Property, if there have the zone user label of target service area to be greater than or equal to the similitude of the service label to be predefined similar
Property threshold value, it is determined that the insurance agent have the Priority Service target area permission；Finally by the region of the target area
Identification information is sent to the client of the insurance agent, so that the insurance agent selects the target service area.It being capable of root
Insurance agent's management is carried out according to the tag attributes of insurance agent, procuratorial business efficiency is improved, is conducive to insurance industry
High speed development.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in a storage medium
In (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that a terminal device (can be mobile phone, computer, clothes
Business device, air conditioner or the network equipment etc.) execute method described in each embodiment of the present invention.The above is only of the invention excellent
Embodiment is selected, is not intended to limit the scope of the invention, it is all using made by description of the invention and accompanying drawing content etc.
Structure or equivalent process transformation are imitated, is applied directly or indirectly in other relevant technical fields, and is similarly included in the present invention
Scope of patent protection in.
Claims (10)
1. a kind of electronic device, which is characterized in that the electronic device includes memory and the processing that connect with the memory
Device, the processor determine program, the guarantor for executing the insurance agent target service area stored on the memory
Dangerous agent target service area, which determines, realizes following steps when program is executed by the processor:
A1, after receiving the request for obtaining target service area that insurance agent sends, the business of the insurance agent is obtained
Data information；
A2, the service data information of acquisition is analyzed according to the monitor model that training is completed in advance, to obtain insurance generation
Manage the service label of people；
A3, the service label obtained according to predetermined similarity analysis rule analysis and predetermined each destination service
Similitude between the zone user label in region, if having the zone user label of target service area and the service label
Similitude is greater than or equal to predefined similarity threshold, it is determined that the insurance agent has the Priority Service target area
Permission；
A4, the client that the zone identification information of the target area is sent to the insurance agent, for the insurance agent
Select the target service area.
2. electronic device as described in claim 1, which is characterized in that in the step A2, what the preparatory training was completed
Monitor model is density-based algorithms, and the step A2 includes:
Respectively using each service feature data as the centre data of a cluster, using predefined time interval as cluster radius, shape
At multiple clusters；
Judge to cluster distribution a little in each cluster respectively, if the cluster less than the first preset quantity is only distributed in a cluster
Points, it is determined that the service feature data in the cluster are scatterplot, and it is not high that the scatterplot corresponds to insurance agent's degree of association
Service feature data, by the service feature data in the cluster not as the service label of the insurance agent；
If the cluster points greater than first preset quantity are distributed in a cluster, then it is assumed that the service feature number in the cluster
According to higher with the degree of association of the insurance agent, using the service feature data in the cluster as the business mark of the insurance agent
Label.
3. electronic device as described in claim 1, which is characterized in that described according to predetermined in the step A3
Service label that similarity analysis rule analysis obtains and the zone user label of predetermined each target service area it
Between similitude the step of include:
The service label of the insurance agent is normalized, to obtain the service label vector a of the insurance agent；
Each region user tag is normalized respectively, to obtain different zone user label vector bi；
By vector a and each vector biCosine similarity calculation formula is substituted into, respectively to calculate outgoing vector a respectively at each vector
biSimilitude.
4. electronic device as claimed in claim 3, which is characterized in that described to return the service label of the insurance agent
One includes: the step of changing processing
Initial value is assigned respectively according to the service label that predefined assignment rule is the insurance agent, to obtain different business
The corresponding business numerical value of label；
Obtained each business numerical value is ranked up according to predefined ordering rule, obtains First ray value；
The sum of each numerical value in the First ray value is calculated, respectively with each numerical value in the First ray value divided by institute
It states the sum of the numerical value being calculated, generates the second sequential value, the corresponding vector of second sequential value is the vector a.
5. electronic device as claimed in claim 4, which is characterized in that described that place is normalized in each region user tag
The step of reason includes:
It is that each region user tag assigns initial value respectively according to the predefined assignment rule, to obtain different regions
The corresponding area label numerical value of user tag；
Obtained each region label numerical value is ranked up according to the predefined ordering rule respectively, obtains each region
The corresponding third sequential value of label numerical value；
The sum of each area label numerical value in each third sequential value is calculated separately, to obtain corresponding each region label numerical value
With；
Respectively with each region label numerical value in the third sequential value divided by the sum for the corresponding region label numerical value being calculated,
Generate the 4th different sequential values；The corresponding vector of 4th sequential value is the vector bi。
6. a kind of insurance agent target service area determines method, which is characterized in that described method includes following steps:
S1, after receiving the request for obtaining target service area that insurance agent sends, the business of the insurance agent is obtained
Data information；
S2, the service data information of acquisition is analyzed according to the monitor model that training is completed in advance, to obtain insurance generation
Manage the service label of people；
S3, the service label obtained according to predetermined similarity analysis rule analysis and predetermined each destination service
Similitude between the zone user label in region, if having the zone user label of target service area and the service label
Similitude is greater than or equal to predefined similarity threshold, it is determined that the insurance agent has the Priority Service target area
Permission；
S4, the zone identification information of the target area is sent to the procuratorial client of the Insurance personnel, for the guarantor
The dangerous deputy selection target service area.
7. insurance agent target service area as claimed in claim 6 determines method, which is characterized in that in the step S2
In, the monitor model that the preparatory training is completed is density-based algorithms, and the step S2 includes:
Respectively using each service feature data as the centre data of a cluster, using predefined time interval as cluster radius, shape
At multiple clusters；
Judge to cluster distribution a little in each cluster respectively, if the cluster less than the first preset quantity is only distributed in a cluster
Points, it is determined that the service feature data in the cluster are scatterplot, and it is not high that the scatterplot corresponds to insurance agent's degree of association
Service feature data, by the service feature data in the cluster not as the service label of the insurance agent；
If the cluster points greater than first preset quantity are distributed in a cluster, then it is assumed that the service feature number in the cluster
According to higher with the degree of association of the insurance agent, using the service feature data in the cluster as the business mark of the insurance agent
Label.
8. insurance agent target service area as claimed in claim 7 determines method, which is characterized in that in the step A3
In, the service label obtained according to predetermined similarity analysis rule analysis and predetermined each destination service
The step of similitude between the zone user label in region includes:
The service label of the insurance agent is normalized, to obtain the service label vector a of the insurance agent；
Each region user tag is normalized respectively, to obtain different zone user label vector bi；
By vector a and each vector biCosine similarity calculation formula is substituted into, respectively to calculate outgoing vector a respectively at each vector
biSimilitude.
9. insurance agent target service area as claimed in claim 8 determines method, which is characterized in that described by the insurance
The step of procuratorial service label is normalized include:
Initial value is assigned respectively according to the service label that predefined assignment rule is the insurance agent, to obtain different business
The corresponding business numerical value of label；
Obtained each business numerical value is ranked up according to predefined ordering rule, obtains First ray value；
The sum of each numerical value in the First ray value is calculated, respectively with each numerical value in the First ray value divided by institute
It states the sum of the numerical value being calculated, generates the second sequential value, the corresponding vector of second sequential value is the vector a；
Described the step of each region user tag is normalized includes:
It is that each region user tag assigns initial value respectively according to the predefined assignment rule, to obtain different regions
The corresponding area label numerical value of user tag；
Obtained each region label numerical value is ranked up according to the predefined ordering rule respectively, obtains each region
The corresponding third sequential value of label numerical value；
The sum of each area label numerical value in each third sequential value is calculated separately, to obtain corresponding each region label numerical value
With；
Respectively with each region label numerical value in the third sequential value divided by the sum for the corresponding region label numerical value being calculated,
Generate the 4th different sequential values；The corresponding vector of 4th sequential value is the vector bi。
10. a kind of computer readable storage medium, the computer-readable recording medium storage has insurance agent's destination service
Region determines program, and the insurance agent target service area determines that program can be executed by least one processor, so that institute
It states the insurance agent target service area that at least one processor is executed as described in any one of claim 6-9 and determines method
The step of.
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