CN108876051A - Personnel assignment method and device - Google Patents
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Abstract
The present invention relates to technical field of data processing, and in particular to a kind of personnel assignment method and device, method include：Obtain a plurality of business opportunity information that the terminal device of all sites in a setting period obtains, classification number is obtained according to the type of business opportunity information for intention in each business opportunity information, preset algorithm is used to be trained to obtain multiple object classifiers a plurality of business opportunity information according to classification number, for each site, obtain all business opportunity information that the terminal device of the site receives in preset duration, and multiple object classifiers are used to be matched respectively all business opportunity information to obtain the corresponding business opportunity quantity of each object classifiers, according to preset duration, the type and corresponding quantity of staff needed for the corresponding business opportunity quantity and classification type for each object classifiers that the business opportunity type and processing speed of the processing for including in various worker informations and each site obtain obtain each site.By the above method, realize to site reasonable arrangement staff.
Description
Technical field
The present invention relates to technical field of data processing, in particular to a kind of personnel assignment method and device.
Background technique
Currently, generalling use number calling machine in bank's transacting business and carrying out queuing transacting business, inventor sends out through research
It is existing, the order that transacting business solves custom queueing to a certain extent is lined up using number calling machine, but there is also clients couple
Without the staff of corresponding transacting business after uncertain and many people's number of taking of business handling time, this be will lead to
Client takes a significant amount of time the problem of waiting.
Therefore it provides a kind of method that can carry out staff's distribution for the demand of user, to effectively reduce user
Waiting time be a technical problem to be solved urgently.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of personnel assignment method and devices, according to the reality of user
Demand reasonable distribution staff, and then effectively reduce the waiting time of user.
To achieve the above object, the embodiment of the present invention adopts the following technical scheme that：
A kind of personnel assignment method is applied to server, and the server is associated with the terminal device of multiple sites, described
Method includes：
The a plurality of business opportunity information that the terminal device of all sites in a setting period is obtained based on user's operation is obtained,
In, the business opportunity information includes business opportunity information for intention, business opportunity type information, customer grade and handling duration class information；
Classification number is obtained according to the type of the business opportunity type information, according to the classification number to a plurality of business opportunity
Business opportunity information for intention, business opportunity type information, customer grade and the handling duration grade for including in information using preset algorithm into
Row training is to obtain multiple object classifiers, wherein the quantity of the multiple object classifiers is identical as the classification number, often
The corresponding classification type of a object classifiers；
The business opportunity type and processing speed of the processing for including in a plurality of types of worker informations are obtained, and according to described
The business opportunity type and processing speed of classification type and the processing of various worker informations obtain the corresponding work of each classification type
The type and number ratio of personal information；
For each site, all business opportunity information that the terminal device of the site receives in preset duration are obtained, and
The multiple object classifiers are used to be matched respectively all business opportunity information corresponding to obtain each object classifiers
Business opportunity quantity；
According to the preset duration, the type and number ratio of the corresponding worker information of each classification type, and it is each
Staff needed for the corresponding business opportunity quantity and classification type for each object classifiers that the site obtains obtain each site
Type and corresponding quantity.
Optionally, in above-noted persons' distribution method, according to the classification number to including in a plurality of business opportunity information
Business opportunity information for intention, business opportunity type information, customer grade and handling duration grade use preset algorithm to be trained with
Include to the step of multiple object classifiers：
Business opportunity information for intention, business opportunity type information, customer grade and the handling duration for including for every business opportunity information
Information establishes mapping relations with data respectively, to obtain the corresponding multi-C vector of every business opportunity information；
According to the classification number use SVM algorithm to the corresponding multidigit vector of a plurality of business opportunity information be trained with
Obtain multiple two classification devices；
DAG SVM algorithm is used to be trained to obtain multiple object classifiers the multiple two classification device.
Optionally, in above-noted persons' distribution method, the terminal device for obtaining all sites in a setting period is based on using
The step of a plurality of business opportunity information that family operates includes：
Obtain all business opportunity information that the terminal device of all sites in a setting period is obtained based on user's operation；
Sampling processing is carried out to obtain a plurality of business opportunity information to all business opportunity information.
Optionally, it in above-noted persons' distribution method, is executing according to the preset duration, each worker information
In include processing business opportunity type and the obtained corresponding business opportunity of each object classifiers in processing speed and each site
After the step of type of staff needed for quantity and classification type obtain each site and corresponding quantity, the method is also
Including：
The type of staff needed for each site and corresponding quantity are fed back into the corresponding terminal device in the site.
Optionally, in above-noted persons' distribution method, the server is also associated with multiple operational terminals, each work people
Member corresponds to an operational terminal, and the corresponding relationship of each terminal device and operational terminal is prestored in the server, and
The corresponding relationship of each operational terminal and worker information is being executed according to the preset duration, the corresponding work of each classification type
The corresponding business opportunity quantity for each object classifiers that the type and number ratio and each site for making personal information obtain and
After the step of type of staff needed for classification type obtains each site and corresponding quantity, the method also includes：
The business opportunity information that the terminal device is obtained based on user's operation is obtained in real time and using each the multiple target point
The corresponding classification type of business opportunity information that class device is matched respectively, and according to the classification type, each terminal device with
The corresponding relationship of operational terminal and each operational terminal and the corresponding relationship of worker information are divided the business opportunity information
Match.
The present invention also provides a kind of personnel assignment devices, are applied to server, and the server is associated with multiple sites
Terminal device, described device include：
First obtains module, what the terminal device for obtaining all sites in a setting period was obtained based on user's operation
A plurality of business opportunity information, wherein the business opportunity information includes business opportunity information for intention, business opportunity type information, customer grade and processing
Duration class information；
Categorization module, for obtaining classification number according to the type of the business opportunity type information, and according to the classification
It is several to business opportunity information for intention, business opportunity type information, customer grade and the handling duration etc. that include in a plurality of business opportunity information
Grade uses preset algorithm to be trained to obtain multiple object classifiers, wherein the quantity of the multiple object classifiers and institute
It is identical to state classification number, the corresponding classification type of each object classifiers；
Second obtains module, for obtaining business opportunity type and the place of the processing for including in a plurality of types of worker informations
Speed is managed, and the business opportunity type and processing speed that handle according to the classification type and various worker informations obtain each point
The type and number ratio of the corresponding worker information of Class Type；
Second acquisition module obtains the institute that the terminal device of the site receives in preset duration for each site
There is business opportunity information, and uses the multiple object classifiers to be matched respectively to obtain each target all business opportunity information
The corresponding business opportunity quantity of classifier；
Personnel assignment module, for the type according to the preset duration, the corresponding worker information of each classification type
The corresponding business opportunity quantity and classification type of each object classifiers obtained with number ratio and each site obtain each net
The type and corresponding quantity of staff needed for point.
Optionally, in above-noted persons' distributor, the categorization module includes：
Vector obtains submodule, business opportunity information for intention, the business opportunity type information, visitor for including for every business opportunity information
Family grade and handling duration information establish mapping relations with data respectively, with obtain the corresponding multidimensional of every business opportunity information to
Amount；
Training submodule, for corresponding more to a plurality of business opportunity information using SVM algorithm according to the classification number
Bit vector is trained to obtain multiple two classification devices；
Classifier obtains submodule, for using DAG SVM algorithm to be trained to obtain the multiple two classification device
To multiple object classifiers.
Optionally, in above-noted persons' distributor, the first acquisition module includes：
Acquisition submodule, the institute that the terminal device for obtaining all sites in a setting period is obtained based on user's operation
There is business opportunity information；
Submodule is sampled, for carrying out sampling processing to all business opportunity information to obtain a plurality of business opportunity information.
Optionally, in above-noted persons' distributor, described device further includes：
Feedback module, it is corresponding for the type of staff needed for each site and corresponding quantity to be fed back to the site
Terminal device.
Optionally, in above-noted persons' distributor, the server is also associated with multiple operational terminals, each work people
Member corresponds to an operational terminal, and the corresponding relationship of each terminal device and operational terminal is prestored in the server, and
The corresponding relationship of each operational terminal and worker information, described device include：
Information assigning module, the business opportunity information obtained based on user's operation for obtaining the terminal device in real time are simultaneously used
The corresponding classification type of business opportunity information that each the multiple object classifiers are matched respectively, and according to the classification class
Type, the corresponding relationship of each terminal device and operational terminal and each operational terminal and the corresponding relationship of worker information should
Business opportunity information is allocated.
A kind of personnel assignment method and device provided by the invention, method are obtained by obtaining a variety of worker informations
The business opportunity information of all sites simultaneously is trained to obtain multiple classifiers, is divided with realizing that the business opportunity information for being directed to each site uses
The corresponding business opportunity quantity of each object classifiers that class device is classified and the business opportunity type of various staff processing
With the type and corresponding quantity of staff needed for each site of processing speed reasonable distribution, by the above method to realize
Reasonable distribution is carried out to the staff at each site.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, preferred embodiment is cited below particularly, and cooperate
Appended attached drawing, is described in detail below.
Detailed description of the invention
Fig. 1 is a kind of connection block diagram of staff allocation system provided in an embodiment of the present invention.
Fig. 2 is a kind of connection block diagram of server provided in an embodiment of the present invention.
Fig. 3 is the flow diagram of personnel assignment method provided in an embodiment of the present invention.
Fig. 4 is the flow diagram of step S110 in Fig. 3.
Fig. 5 is the flow diagram of step S140 in Fig. 3.
Fig. 6 is a kind of connection block diagram of personnel assignment device provided in an embodiment of the present invention.
Fig. 7 is the provided in an embodiment of the present invention first connection block diagram for obtaining module.
Fig. 8 is the connection block diagram of personnel assignment module provided in an embodiment of the present invention.
Icon：10- server；12- memory；14- processor；20- terminal device；100- personnel assignment device；110-
First obtains module；112- acquisition submodule；114- samples submodule；120- categorization module；122- vector obtains submodule；
124- trains submodule；126- classifier obtains submodule；130- second obtains module；140- third obtains module；150- people
Member's distribution module；160- feedback module；170- information assigning module.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment only
It is a part of the embodiments of the present invention, instead of all the embodiments.The present invention being usually described and illustrated herein in the accompanying drawings
The component of embodiment can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiment of the present invention provided in the accompanying drawings is not intended to limit below claimed
The scope of the present invention, but be merely representative of selected embodiment of the invention.Based on the embodiments of the present invention, this field is common
Technical staff's every other embodiment obtained without creative efforts belongs to the model that the present invention protects
It encloses.
It should be noted that：Similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
As shown in Figure 1, being a kind of staff allocation system that present pre-ferred embodiments provide, and schematically illustrate this Shen
The application scenarios of embodiment please.The staff allocation system include server 10 and with the associated multiple nets of the server 10
The terminal device 20 of point, wherein each associated terminal device 20 in site is either one or more, the server
10 may include processor, hard disk, memory, system bus etc., and be not particularly limited its type.Wherein, server 10 can be with
The business opportunity information that terminal device 20 for obtaining each site is obtained based on user's operation, to be based on the business opportunity information to each net
Point carries out staff's distribution.
It is a kind of connection block diagram of server 10 provided by the invention, including processor 14 and storage incorporated by reference to Fig. 2, Fig. 2
Device 12, the memory 12 is directly or indirectly electrically connected between each other with processor 14, to realize the transmission or friendship of data
Mutually.The software function being stored in the memory 12 in the form of software or firmware (Firmware) is stored in memory 12
Module, the software program and module that the processor 14 is stored in memory 12 by operation, in the embodiment of the present invention
Personnel assignment device 100, the personnel thereby executing various function application and data processing, i.e., in the realization embodiment of the present invention
Distribution method.
Incorporated by reference to Fig. 3, the present invention provides a kind of personnel assignment method that can be applied to above-noted persons' distribution system, the side
Method includes five steps of step S110-S150.
Step S110：Obtain a plurality of quotient that the terminal device 20 of all sites in a setting period is obtained based on user's operation
Machine information.
Wherein, the business opportunity information includes business opportunity information for intention, business opportunity type information, customer grade and handling duration etc.
Grade information.It is appreciated that the business opportunity information for intention can be according to agree to, have certain wish, have larger wish or refuse into
Row divides, and the business opportunity type information can be according to fund, financing, national debt, personal credit card, individual deposit or personal signing
It is divided, the customer grade information can be according to golden grade, platinum grade, diamond grade, private bank's grade, Wealth management grade or war
Slightly client level is divided；The handling duration grade can be according to 0-5 minutes, 5-10 minutes, 10-20 minutes, 20-30 points
Clock, -1 hour 30 minutes or 1 hour or more are divided.
The setting period can be but not limited to one month, half a year or 1 year, be not specifically limited herein, and set the period
The a plurality of business opportunity information that interior all sites obtain can be：All business opportunity information for setting all sites in the period, can also be with
It is some set in the period in all business opportunities of all sites, is not specifically limited herein.
Referring to Fig. 4, it is optional, in the present embodiment, obtain 20 base of terminal device of all sites in a setting period
Include in the step of a plurality of business opportunity information that user's operation obtains：
Step S112：Obtain all quotient that the terminal device 20 of all sites in a setting period is obtained based on user's operation
Machine information.
Step S114：Sampling processing is carried out to obtain a plurality of business opportunity information to all business opportunity information.
Wherein, the quantity of a plurality of business opportunity can be but not limited to 5,000,8,000 or 10,000, not make herein specific
It limits, is configured according to actual needs.
Step S120：Classification number is obtained according to the type of the business opportunity type information, according to the classification number to institute
The business opportunity information for intention for including in a plurality of business opportunity information, business opportunity type information, customer grade and handling duration grade is stated to use
Preset algorithm is trained to obtain multiple object classifiers.
Wherein, the quantity of the multiple object classifiers is identical as the classification number, each object classifiers corresponding one
A classification type.
It is appreciated that since the data central factor of processing is business opportunity type, by the species number of business opportunity type information
Amount be used as target classification number, and in conjunction with the business opportunity type information, customer grade and handling duration grade so that using
Preset algorithm is trained more reasonable to obtain multiple object classifiers.
Specifically, classification number is obtained according to the type of the business opportunity type information, according to the classification incorporated by reference to Fig. 4
Number is to business opportunity information for intention, business opportunity type information, customer grade and the handling duration for including in a plurality of business opportunity information
The step of grade uses preset algorithm to be trained to obtain multiple object classifiers includes following sub-step：
Step S122：The business opportunity information for intention that includes for every business opportunity information, business opportunity type information, customer grade and
Handling duration information establishes mapping relations with data respectively, to obtain the corresponding multi-C vector of every business opportunity information.
Step S124：According to the classification number using SVM algorithm to the corresponding multidigit vector of a plurality of business opportunity information
It is trained to obtain multiple two classification devices.
Step S126：DAG SVM algorithm is used to be trained the multiple two classification device to obtain multiple targets point
Class device.
Specifically, each multi-C vector is a sampled point in corresponding hyperspace, the target of SVM algorithm is to find
One hyperplane makes sampled point corresponding for each business opportunity information, all meets the point and is divided on the left of hyperplane, or is divided
On the right side of hyperplane, not having some point can not determine which class belonged on hyperplane.When a sampled point is apart from hyperplane
It is remoter to can consider that the correct probability of classification is bigger, all sampled points and hyperplane are made using the target of the SVM algorithm
Spacing value is all remote as far as possible, therefore finds a hyperplane by using SVM algorithm, so that the corresponding point of all business opportunity information is most
Closely-spaced value reaches maximization.It is appreciated that since some in business opportunity information are noise data, for example business opportunity type is sky, place
A length of 1 year etc. when reason, this kind of data do not have practical significance, but may substantially influence Optimal Separating Hyperplane in algorithm training
It calculates.Therefore, in order to allow certain noise error, therefore, different kernel functions, slack variable and initial can be also chosen respectively
Vector calculates, and obtains k* (k-1)/2 different two classification device, wherein K is the classification number, reuses DAG SVM calculation
Method calculates k object classifiers.
Step S130：The business opportunity type and processing speed of the processing for including in a plurality of types of worker informations are obtained,
And the business opportunity type and processing speed handled according to the classification type and various worker informations obtains each classification type
The type and number ratio of corresponding worker information.
Step S140：For each site, obtain the site terminal device 20 received in preset duration it is all
Business opportunity information, and use the multiple object classifiers to be matched respectively all business opportunity information to obtain each target point
The corresponding business opportunity quantity of class device.
Wherein the preset duration can be one day, one week or one month, be not specifically limited herein, according to actual needs into
Row setting.
Step S150：According to the preset duration, the type of the corresponding worker information of each classification type and number ratio
The corresponding business opportunity quantity and classification type for each object classifiers that example and each site obtain obtain needed for each site
The type of staff and corresponding quantity.
By the above method, to realize the business opportunity information state for predicting that site future will receive, so that schedule ahead works
Personnel market.By according to the type information of business opportunity information, information for intention, customer grade information, handling duration grade etc.
Various dimensions factor models and classifies, and avoids the one-sidedness and inaccuracy divided just for business opportunity classification.
In addition, classification number is consistent with experience, it both ensure that maximization divides different business opportunity data, in turn avoided due to dividing
Class number is excessive and causes algorithm complexity excessively high to be difficult to the risk calculated, classification is included into as unit of site, and combine
The trading volume automatic configuration site marketing personnel of site improve current destination marketing personnel and arrange without standard, unreasonable, battalion
Sell the case where business opportunity is lost.
Type with staff includes that lobby manager, sales manager and a loan accept hilllock, the business opportunity information for intention packet
It includes agreement, have certain wish or a refusal, the business opportunity type information includes that fund, financing, national debt, personal credit card, individual deposit
Money or personal signing, the customer grade information include golden grade, platinum grade, diamond grade, private bank's grade, Wealth management grade or war
Slightly client level；The handling duration grade includes 0-5 minutes, 5-10 minutes, 10-20 minutes, 20-30 minutes, it is 30 minutes -1 small
When or classify for 1 hour or more, then a plurality of business opportunity information sampled to the business opportunity information of all sites is joined
See such as following table：
Target classification is set as 4 classifications, and 4 object classifiers are obtained using KM algorithm and the training of DAG SVM algorithm
It is described as follows：
k1：Business opportunity classification is inclined to fund, financing, national debt；Customer grade is inclined to platinum grade, diamond grade；Feedback result tendency
Agree to；Handling duration is inclined to 20-30 minutes.
k2：Business opportunity classification is inclined to personal credit card, individual deposit, fund；Customer grade is inclined to golden grade, regular grade；Feedback
As a result tendency is refused, has certain wish；Handling duration is inclined to 5-10 minutes.
k3：Business opportunity classification is inclined to financing, noble metal, personal loan；Customer grade is inclined to platinum grade, diamond grade, private silver
Row grade；Feedback result tendency is agreed to；Handling duration is inclined to -1 hour 30 minutes.
k4：Business opportunity classification is inclined to fund, financing, personal credit card；Customer grade is inclined to platinum grade, diamond grade, golden grade；Instead
Feedback result tendency is agreed to, has certain wish；Handling duration is inclined to 10-20 minutes.
The result being then allocated according to various worker informations is as follows：It is rule of thumb various staff's processing
Marketing personnel's allocation strategies are arranged to 4 classifications in business opportunity type and processing speed, set unit business opportunity quantity as 5, then personnel
Allocation result is as follows：
k1：3 customer sales manager；
k2：1 customer sales handle+1 lobby manager；
k3：It borrows for 2 and accepts+2 customer sales of hilllock manager；
k4：2 customer sales manager.
Classification results such as following table to the business opportunity information obtained in 2 days of single site：
Then it is respectively to the business opportunity item number for obtaining 4 classifications after the classification of all data：
k1：6；k2:12；k3:4；k4:8
Then the number of various types of staff can be according to 3:6:2:4 staff corresponding with each classification type
The number ratio of information is calculated：
(2 loans accept+2 customer sales of hilllock to+2* to 3*3 customer sales manager+6* (1 customer sales handle+1 lobby manager)
Manager)+4* (2 customer sales manager)/(3+6+2+4)=1.8 customer sales handle+0.27 loan of+0.4 lobby manager accept
Hilllock, and above allocation plan * site odd-numbered day business opportunity quantity/unit business opportunity quantity is obtained into final configuration strategy：5.4 customer sales
Manager's+0.81 loan of+1.2 lobby manager accepts hilllock.By above-mentioned setting, so that site can be according to the allocation plan appropriate adjustment
The number in each post.
Convenient for each site administrative staff can according to terminal device 20 show staff type and corresponding number
Amount carries out personnel assignment.Optionally, in the present embodiment, it is executing according to the preset duration, each worker information
In include processing business opportunity type and the obtained corresponding business opportunity of each object classifiers in processing speed and each site
After the step of type of staff needed for quantity and classification type obtain each site and corresponding quantity, the method is also
Including：
The type of staff needed for each site and corresponding quantity are fed back into the corresponding terminal device 20 in the site.
For convenient for real-time reception to business opportunity information handle, optionally, in the present embodiment, the server 10
Multiple operational terminals are also associated with, each staff corresponds to an operational terminal, prestores in the server 10 each
Terminal device 20 and the corresponding relationship of operational terminal and the corresponding relationship of each operational terminal and worker information, are executing
According to the preset duration, the type of the corresponding worker information of each classification type and number ratio and each site
The type of staff needed for the corresponding business opportunity quantity and classification type of obtained each object classifiers obtain each site and
After the step of corresponding quantity, the method also includes：
The business opportunity information that the terminal device 20 is obtained based on user's operation is obtained in real time and uses each the multiple target
The corresponding classification type of business opportunity information that classifier is matched respectively, and according to the classification type, each terminal device
20 carry out the business opportunity information with the corresponding relationship of operational terminal and each operational terminal and the corresponding relationship of worker information
Distribution.
Incorporated by reference to Fig. 6, on the basis of the above, the present invention also provides a kind of personnel that can be applied to above-noted persons' distribution system
Distributor 100, the personnel assignment device 100 include：First obtains module 110, categorization module 120, second obtains module
130, third obtains module 140 and personnel assignment module 150.
The terminal device 20 that the first acquisition module 110 is used to obtain all sites in a setting period is grasped based on user
Make obtained a plurality of business opportunity information.Wherein, the business opportunity information includes business opportunity information for intention, business opportunity type information, customer grade
And handling duration class information.In the present embodiment, the first acquisition module 110 can be used for executing step shown in Fig. 3
S110, the specific descriptions about the first acquisition module 110 are referred to the description to step S110 above.
Incorporated by reference to Fig. 7, the first acquisition module 110 includes：Acquisition submodule 112 and sampling submodule 114.
The terminal device 20 that the acquisition submodule 112 is used to obtain all sites in a setting period is based on user's operation
Obtained all business opportunity information.In the present embodiment, the acquisition submodule 112 can be used for executing step S112 shown in Fig. 4,
Specific descriptions about the acquisition submodule 112 are referred to the description to step S112 above.
The sampling submodule 114 is used to carry out sampling processing to all business opportunity information to believe to obtain a plurality of business opportunity
Breath.In the present embodiment, the sampling submodule 114 can be used for executing step S114 shown in Fig. 4, about sampling
The specific descriptions of module 114 are referred to the description to step S114 above.
The categorization module 120 is used to obtain classification number according to the type of the business opportunity type information, and according to described
Business opportunity information for intention, business opportunity type information, customer grade and processing of the classification number to including in a plurality of business opportunity information
Duration grade uses preset algorithm to be trained to obtain multiple object classifiers.Wherein, the number of the multiple object classifiers
Measure, an each object classifiers corresponding classification type identical as the classification number.In the present embodiment, the categorization module
120 can be used for executing step S120 shown in Fig. 3, and the specific descriptions about the categorization module 120 are referred to above to step
The description of rapid S120.
Incorporated by reference to Fig. 8, the categorization module 120 includes：Vector obtains submodule 122, training submodule 124 and classification
Device obtains submodule 126.
The vector obtains submodule 122 and is used for the business opportunity information for intention for including for every business opportunity information, business opportunity type
Information, customer grade and handling duration information establish mapping relations with data respectively, corresponding to obtain every business opportunity information
Multi-C vector.In the present embodiment, the vector, which obtains submodule 122, can be used for executing step S122 shown in fig. 5, about institute
The specific descriptions for stating vector acquisition submodule 122 are referred to the description to step S122 above.
The trained submodule 124 is used for according to the classification number using SVM algorithm to a plurality of business opportunity information pair
The multidigit vector answered is trained to obtain multiple two classification devices.In the present embodiment, the trained submodule 124 can be used for
Step S124 shown in fig. 5 is executed, the specific descriptions about the trained submodule 124 are referred to above to step S124's
Description.
The classifier is obtained submodule 126 and is used to be trained the multiple two classification device using DAGSVM algorithm
To obtain multiple object classifiers.In the present embodiment, the classifier acquisition submodule 126 can be used for executing shown in fig. 5
Step S126, the specific descriptions for obtaining submodule 126 about the classifier are referred to the description to step S126 above.
The second acquisition module 130 is used to obtain the business opportunity class for the processing for including in a plurality of types of worker informations
Type and processing speed, and the business opportunity type and processing speed that are handled according to the classification type and various worker informations obtain
The type and number ratio of the corresponding worker information of each classification type.In the present embodiment, described second module is obtained
130 can be used for executing step S130 shown in Fig. 3, and the specific descriptions about the second acquisition module 130 are referred to above
Description to step S130.
The third obtains module 140 and is directed to each site, and the terminal device 20 for obtaining the site is inscribed in preset duration
All business opportunity information received, and use the multiple object classifiers to be matched respectively to obtain all business opportunity information
The corresponding business opportunity quantity of each object classifiers.In the present embodiment, the third, which obtains module 140, can be used for executing Fig. 3 institute
The step S140 shown, the specific descriptions for obtaining module 140 about the third are referred to the description to step S140 above.
The personnel assignment module 150 is used for according to the preset duration, the corresponding worker information of each classification type
Type and the obtained corresponding business opportunity quantity of each object classifiers in number ratio and each site and classification type obtain
To the type and corresponding quantity of staff needed for each site.In the present embodiment, the personnel assignment module 150 can be used
In executing step S150 shown in Fig. 3, the specific descriptions about the personnel assignment module 150 are referred to above to step
The description of S150.
Optionally, in the present embodiment, the personnel assignment device 100 further includes feedback module 160, the feedback module
160 for feeding back to the corresponding terminal device 20 in the site for the type of staff needed for each site and corresponding quantity.
Specific descriptions about the feedback module 160 please refer to above to the specific descriptions of the personnel assignment method.
Optionally, in the present embodiment, the server 10 is also associated with multiple operational terminals, and each staff is corresponding
One operational terminal prestores the corresponding relationship of each terminal device 20 and operational terminal in the server 10, and each
The corresponding relationship of operational terminal and worker information, the personnel assignment device 100 further include information assigning module 170, institute
State the business opportunity information that information assigning module 170 is obtained for obtaining the terminal device 20 in real time based on user's operation and using respectively
The corresponding classification type of business opportunity information that the multiple object classifiers are matched respectively, and according to the classification class
Type, the corresponding relationship of each terminal device 20 and operational terminal and each operational terminal and the corresponding relationship of worker information will
The business opportunity information is allocated.
To sum up, a kind of personnel assignment method and device provided by the invention is obtained by the terminal device 20 to all sites
To a plurality of business opportunity information be trained to obtain multiple classifiers, and for each site using each classifier to the net
All business opportunity information of point are classified, and the corresponding work people of each object classifiers obtained based on classification results and training
The type and number ratio of member, to realize the business opportunity information state for predicting that site future will receive, the people so that schedule ahead works
Member markets, more furthermore according to the type information of business opportunity information, information for intention, customer grade information, handling duration grade etc.
Dimension factor models and classifies, avoid just for business opportunity classification divided the case where there are one-sidedness and inaccuracies.
In several embodiments provided by the embodiment of the present invention, it should be understood that disclosed device and method, it can also
To realize by another way.Device and method embodiment described above is only schematical, for example, in attached drawing
Flow chart and block diagram show that the devices of multiple embodiments according to the present invention, method and computer program product are able to achieve
Architecture, function and operation.In this regard, each box in flowchart or block diagram can represent module, a program
A part of section or code, a part of the module, section or code include that one or more is patrolled for realizing defined
Collect the executable instruction of function.It should also be noted that in some implementations as replacement, function marked in the box
It can occur in a different order than that indicated in the drawings.It is also noted that each box in block diagram and or flow chart,
And the combination of the box in block diagram and or flow chart, hardware can be based on the defined function of execution or the dedicated of movement
Device realize, or can realize using a combination of dedicated hardware and computer instructions.In addition, in each implementation of the present invention
Each functional module in example can integrate one independent part of formation together, be also possible to modules individualism,
An independent part can be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, electronic equipment or network equipment etc.) execute all or part of step of each embodiment the method for the present invention
Suddenly.And storage medium above-mentioned includes：USB flash disk, read-only memory (ROM, Read-Only Memory), is deposited mobile hard disk at random
The various media that can store program code such as access to memory (RAM, Random Access Memory), magnetic or disk.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to the packet of nonexcludability
Contain, so that the process, method, article or equipment for including a series of elements not only includes those elements, but also including
Other elements that are not explicitly listed, or further include for elements inherent to such a process, method, article, or device.
In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including the element
Process, method, article or equipment in there is also other identical elements.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of personnel assignment method is applied to server, which is characterized in that the server is associated with the terminal of multiple sites
Equipment, the method includes：
Obtain a plurality of business opportunity information that the terminal device of all sites in a setting period is obtained based on user's operation, wherein institute
Stating business opportunity information includes business opportunity information for intention, business opportunity type information, customer grade and handling duration class information；
Classification number is obtained according to the type of the business opportunity type information, according to the classification number to a plurality of business opportunity information
In include business opportunity information for intention, business opportunity type information, customer grade and handling duration grade instructed using preset algorithm
Practice to obtain multiple object classifiers, wherein the quantity of the multiple object classifiers is identical as the classification number, each mesh
Mark the corresponding classification type of classifier；
The business opportunity type and processing speed of the processing for including in a plurality of types of worker informations are obtained, and according to the classification
The business opportunity type and processing speed of type and the processing of various worker informations obtain the corresponding staff of each classification type
The type and number ratio of information；
For each site, all business opportunity information that the terminal device of the site receives in preset duration are obtained, and to this
All business opportunity information use the multiple object classifiers to be matched respectively to obtain the corresponding business opportunity of each object classifiers
Quantity；
According to the preset duration, the type of the corresponding worker information of each classification type and number ratio and each described
The kind of staff needed for the corresponding business opportunity quantity and classification type for each object classifiers that site obtains obtain each site
Class and corresponding quantity.
2. personnel assignment method according to claim 1, which is characterized in that according to the classification number to a plurality of quotient
Business opportunity information for intention, business opportunity type information, customer grade and the handling duration grade for including in machine information use preset algorithm
The step of being trained to obtain multiple object classifiers include：
Business opportunity information for intention, business opportunity type information, customer grade and the handling duration information for including for every business opportunity information
Mapping relations are established with data respectively, to obtain the corresponding multi-C vector of every business opportunity information；
SVM algorithm is used to be trained to obtain the corresponding multidigit vector of a plurality of business opportunity information according to the classification number
Multiple two classification devices；
DAG SVM algorithm is used to be trained to obtain multiple object classifiers the multiple two classification device.
3. personnel assignment method according to claim 1, which is characterized in that obtain the end of all sites in a setting period
The step of a plurality of business opportunity information that end equipment is obtained based on user's operation includes：
Obtain all business opportunity information that the terminal device of all sites in a setting period is obtained based on user's operation；
Sampling processing is carried out to obtain a plurality of business opportunity information to all business opportunity information.
4. personnel assignment method according to claim 1, which is characterized in that executing according to the preset duration, each institute
Each target classification that the business opportunity type and processing speed and each site for stating the processing for including in worker information obtain
The step of type and corresponding quantity of staff needed for the corresponding business opportunity quantity and classification type of device obtain each site
Later, the method also includes：
The type of staff needed for each site and corresponding quantity are fed back into the corresponding terminal device in the site.
5. personnel assignment method according to claim 1, which is characterized in that it is whole that the server is also associated with multiple work
End, an each staff corresponding operational terminal prestore each terminal device and operational terminal in the server
The corresponding relationship of corresponding relationship and each operational terminal and worker information is being executed according to the preset duration, each classification
The correspondence for each object classifiers that the type and number ratio of the corresponding worker information of type and each site obtain
Business opportunity quantity and classification type obtain each site needed for staff type and corresponding quantity the step of after, it is described
Method further includes：
The business opportunity information that the terminal device is obtained based on user's operation is obtained in real time and uses each the multiple object classifiers
The corresponding classification type of business opportunity information matched respectively, and according to the classification type, each terminal device and work
The business opportunity information is allocated by the corresponding relationship of terminal and each operational terminal and the corresponding relationship of worker information.
6. a kind of personnel assignment device is applied to server, which is characterized in that the server is associated with the terminal of multiple sites
Equipment, described device include：
First obtains module, for obtains the terminal device that one sets all sites in the period obtained based on user's operation it is a plurality of
Business opportunity information, wherein the business opportunity information includes business opportunity information for intention, business opportunity type information, customer grade and handling duration
Class information；
Categorization module, for obtaining classification number according to the type of the business opportunity type information, and according to the classification number pair
Business opportunity information for intention, business opportunity type information, customer grade and the handling duration grade for including in a plurality of business opportunity information are adopted
It is trained with preset algorithm to obtain multiple object classifiers, wherein the quantity of the multiple object classifiers and described point
Class number is identical, the corresponding classification type of each object classifiers；
Second obtains module, for obtaining the business opportunity type and processing speed of the processing for including in a plurality of types of worker informations
Degree, and the business opportunity type and processing speed that are handled according to the classification type and various worker informations obtain each classification class
The type and number ratio of the corresponding worker information of type；
Third obtains module and obtains all quotient that the terminal device of the site receives in preset duration for each site
Machine information, and use the multiple object classifiers to be matched respectively to obtain each target classification all business opportunity information
The corresponding business opportunity quantity of device；
Personnel assignment module, for according to the preset duration, the type of the corresponding worker information of each classification type and people
The corresponding business opportunity quantity and classification type for each object classifiers that number ratio and each site obtain obtain each site institute
The type and corresponding quantity of the staff needed.
7. personnel assignment device according to claim 6, which is characterized in that the categorization module includes：
Vector obtains submodule, business opportunity information for intention, business opportunity type information, the client etc. for including for every business opportunity information
Grade and handling duration information establish mapping relations with data respectively, to obtain the corresponding multi-C vector of every business opportunity information；
Training submodule, for according to the classification number using SVM algorithm to the corresponding multidigit of a plurality of business opportunity information to
Amount is trained to obtain multiple two classification devices；
Classifier obtains submodule, more to obtain for using DAG SVM algorithm to be trained the multiple two classification device
A object classifiers.
8. personnel assignment device according to claim 6, which is characterized in that described first, which obtains module, includes：
Acquisition submodule, all quotient that the terminal device for obtaining all sites in a setting period is obtained based on user's operation
Machine information；
Submodule is sampled, for carrying out sampling processing to all business opportunity information to obtain a plurality of business opportunity information.
9. personnel assignment device according to claim 6, which is characterized in that described device further includes：
Feedback module, for the type of staff needed for each site and corresponding quantity to be fed back to the site corresponding end
End equipment.
10. personnel assignment device according to claim 6, which is characterized in that the server is also associated with multiple work
Terminal, each staff correspond to an operational terminal, prestore each terminal device and operational terminal in the server
Corresponding relationship and each operational terminal and worker information corresponding relationship, described device includes：
Information assigning module, the business opportunity information obtained based on user's operation for obtaining the terminal device in real time simultaneously use each institute
State the corresponding classification type of business opportunity information that multiple object classifiers are matched respectively, and according to the classification type,
The corresponding relationship and each operational terminal and the corresponding relationship of worker information of each terminal device and operational terminal are by the business opportunity
Information is allocated.
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