CN109472454A - Active evaluation method, apparatus, electronic equipment and storage medium - Google Patents
Active evaluation method, apparatus, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment provides a kind of active evaluation method, apparatus, electronic equipment and storage mediums, are related to big data technical field.This method comprises: determining the human cost information, financial cost information and flow cost information of each goal activities based on the historical cost information of multiple goal activities；Clustering processing is carried out to multiple goal activities based on human cost information, financial cost information and flow cost information and obtains multiple class clusters；Human cost weight, financial cost weight and flow cost weight based on each class cluster are weighted human cost, financial cost and the flow cost of each goal activities of each class cluster to assess each goal activities in each class cluster；The on-line time of result and each goal activities based on assessment is ranked up each goal activities in each class cluster.The technical solution of the embodiment of the present invention can be improved the accuracy of activity cost assessment, convenient for optimizing configuration to resource according to assessment result.
Description
Technical field
The present invention relates to big data technical field, in particular to a kind of active evaluation method, active evaluation device,
Electronic equipment and computer readable storage medium.
Background technique
With the development of internet technology, Above-the-line is carried out in more and more enterprise's selections on the internet, how right
The cost of Above-the-line, which carries out quantitative evaluation, becomes focus of attention.
Currently, obtaining the cost data of Above-the-line in a kind of technical solution, the cost data based on acquisition counts line
Upper movable totle drilling cost.However, in the technical scheme, only being assessed from the angle of activity totle drilling cost, it is difficult to which reflection is different
The cost variance of type of activity, it is also difficult to which configuration is optimized to activity cost and platform resource according to the result of assessment.
Accordingly, it is desirable to provide a kind of a kind of active evaluation side for the one or more problems being able to solve in the above problem
Method, active evaluation device, electronic equipment and computer readable storage medium.
It should be noted that information is only used for reinforcing the reason to background of the present invention disclosed in above-mentioned background technology part
Solution, therefore may include the information not constituted to the prior art known to persons of ordinary skill in the art.
Summary of the invention
The embodiment of the present invention be designed to provide a kind of active evaluation method, active evaluation device, electronic equipment and
Computer readable storage medium, and then overcome one caused by the limitation and defect due to the relevant technologies at least to a certain extent
A or multiple problems.
According to a first aspect of the embodiments of the present invention, a kind of active evaluation method is provided, comprising: living based on multiple targets
Dynamic historical cost information determines the human cost information, financial cost information and flow cost information of each goal activities；
The multiple goal activities are carried out at cluster based on the human cost information, financial cost information and flow cost information
Reason obtains multiple class clusters；Human cost weight, financial cost weight and flow cost weight based on each class cluster are to each
Human cost, financial cost and the flow cost of each goal activities of class cluster are weighted to assess in each class cluster
Each goal activities；The on-line time of result and each goal activities based on assessment is to each target in each class cluster
Activity is ranked up.
In some embodiments of the invention, aforementioned schemes, the human cost weight based on each class cluster, wealth are based on
Human cost, financial cost and flow of cost weight and the flow cost weight of being engaged in each goal activities of each class cluster
Cost is weighted to assess each goal activities in each class cluster, comprising: is determined often based on the type of each class cluster
Human cost weight, financial cost weight and the flow cost weight of each goal activities in a class cluster；Based on the people
Power cost weight, financial cost weight and flow cost weight to the human costs of each goal activities in each class cluster,
Financial cost and flow cost are weighted；Each target in each class cluster of outcome evaluation based on ranking operation is living
It is dynamic.
In some embodiments of the invention, aforementioned schemes are based on, the type based on each class cluster determines each class
Human cost weight, financial cost weight and the flow cost weight of each goal activities in cluster, comprising: determine each class
Human cost component, financial cost component and the flow cost component of the class cluster center vector of cluster；Based on the human cost
Component, the financial cost component and the flow cost component determine human cost weight, the financial cost of each class cluster
Weight and flow cost weight.
In some embodiments of the invention, aforementioned schemes are based on, it is described to be based on the human cost component, the finance
Cost component and the flow cost component determine the human cost weight, financial cost weight and flow of each class cluster at
This weight, comprising: determine the manpower of the human cost component of the class cluster and the average human cost of the multiple goal activities
Cost ratio, using the human cost ratio as the human cost weight of the class cluster；Determine the financial cost of the class cluster
The financial cost ratio of the average financial cost of component and the multiple goal activities, using the financial cost ratio as described in
The financial cost weight of class cluster；Determine the flow cost component of the class cluster and the average flow rate cost of the multiple goal activities
Flow cost ratio, using the flow cost ratio as the flow cost weight of the class cluster.
In some embodiments of the invention, aforementioned schemes, the result based on the assessment and each mesh are based on
It marks movable on-line time to be ranked up each goal activities in each class cluster, comprising: the score pair based on the assessment
Goal activities in every one kind cluster carry out descending arrangement；The time of each goal activities is determined based on the on-line time of each goal activities
Weight；The time weighting of each goal activities is multiplied with the score of the assessment, based on the result of multiplication to the descending
The sequence of arrangement is adjusted.
In some embodiments of the invention, aforementioned schemes are based on, the on-line time based on each goal activities determines
The time weighting of each goal activities, comprising: this great something lost of Chinese mugwort guest of the goal activities is determined according to the on-line time of goal activities
Forget the value of curve；Using the value of Chinese mugwort this great forgetting curve of guest as the time weighting of the goal activities.
In some embodiments of the invention, aforementioned schemes are based on, it is described to be based on the human cost information, financial cost
Information and flow cost information carry out clustering processing to the multiple goal activities and obtain multiple class clusters, comprising: based on described
Human cost information, financial cost information and flow cost information determine the totle drilling cost vector of each goal activities；It determines each
The distance between totle drilling cost vector of a goal activities；Clustering processing is carried out to the multiple goal activities based on the distance to obtain
Obtain multiple class clusters.
According to a second aspect of the embodiments of the present invention, a kind of active evaluation device is provided, comprising: acquiring unit is used for
Obtain the human cost information, financial cost information and flow cost information of multiple goal activities；Cluster cell, for being based on
The human cost information, financial cost information and flow cost information carry out clustering processing to the multiple goal activities and obtain
Obtain multiple class clusters；Assessment unit, for human cost weight, financial cost weight and flow cost power based on each class cluster
Human cost, financial cost and the flow cost of each goal activities of each class cluster are weighted again every to assess
Each goal activities in a class cluster；Sequencing unit, the on-line time for result and each goal activities based on assessment
Each goal activities in each class cluster are ranked up.
According to a third aspect of the embodiments of the present invention, a kind of electronic equipment is provided, comprising: processor；And memory,
It is stored with computer-readable instruction on the memory, is realized when the computer-readable instruction is executed by the processor as above
State active evaluation method described in first aspect.
According to a fourth aspect of the embodiments of the present invention, a kind of computer readable storage medium is provided, meter is stored thereon with
Calculation machine program realizes the active evaluation method as described in above-mentioned first aspect when the computer program is executed by processor.
In the technical solution provided by some embodiments of the present invention, on the one hand, the historical cost based on goal activities
Information carries out clustering processing to each operation activity, the comparable activity of cost scale can be divided into same class；Based on each activity
Human cost information, financial cost information and each activity of flow cost information evaluation, can be more acurrate from many aspects
Ground carries out quantitative evaluation to each movable cost；In another aspect, result and each movable on-line time based on assessment
Activity in class cluster is ranked up, activity cost and platform resource can be optimized according to quantitative evaluation result and be matched
It sets.
It should be understood that above general description and following detailed description be only it is exemplary and explanatory, not
It can the limitation present invention.
Detailed description of the invention
The drawings herein are incorporated into the specification and forms part of this specification, and shows and meets implementation of the invention
Example, and be used to explain the principle of the present invention together with specification.It should be evident that the accompanying drawings in the following description is only the present invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.In the accompanying drawings:
Fig. 1 shows the flow diagram of active evaluation method according to some embodiments of the present invention；
Fig. 2 shows the streams assessed according to some embodiments of the present invention each goal activities in each class cluster
Journey schematic diagram；
Fig. 3 shows the stream being ranked up according to some embodiments of the present invention to each goal activities in each class cluster
Journey schematic diagram；
Fig. 4 shows the schematic block diagram of active evaluation device according to some embodiments of the present invention；
Fig. 5 shows the structural schematic diagram for being suitable for the computer system for the electronic equipment for being used to realize the embodiment of the present invention.
Specific embodiment
Example embodiment is described more fully with reference to the drawings.However, example embodiment can be real in a variety of forms
It applies, and is not understood as limited to embodiment set forth herein；On the contrary, thesing embodiments are provided so that the present invention will be comprehensively and complete
It is whole, and the design of example embodiment is comprehensively communicated to those skilled in the art.Identical appended drawing reference indicates in figure
Same or similar part, thus repetition thereof will be omitted.
In addition, described feature, structure or characteristic can be incorporated in one or more implementations in any suitable manner
In example.In the following description, many details are provided to provide and fully understand to the embodiment of the present invention.However,
It will be appreciated by persons skilled in the art that technical solution of the present invention can be practiced without one or more in specific detail,
Or it can be using other methods, constituent element, device, step etc..In other cases, it is not shown in detail or describes known side
Method, device, realization or operation are to avoid fuzzy each aspect of the present invention.
Block diagram shown in the drawings is only functional entity, not necessarily must be corresponding with physically separate entity.
I.e., it is possible to realize these functional entitys using software form, or realized in one or more hardware modules or integrated circuit
These functional entitys, or these functional entitys are realized in heterogeneous networks and/or processor device and/or microcontroller device.
Flow chart shown in the drawings is merely illustrative, it is not necessary to including all content and operation/step,
It is not required to execute by described sequence.For example, some operation/steps can also decompose, and some operation/steps can close
And or part merge, therefore the sequence actually executed is possible to change according to the actual situation.
Fig. 1 shows the flow diagram of active evaluation method according to some embodiments of the present invention.
Shown in referring to Fig.1, in step s 110, determine that each target is living based on the historical cost information of multiple goal activities
Dynamic human cost information, financial cost information and flow cost information.
In the exemplary embodiment, multiple goal activities may include insurance class activity, financing class activity, the activity of fund class,
One of healthy class activity and life kind activity are a variety of.The historical cost information of multiple goal activities is obtained, mesh is based on
Mark human cost information, financial cost information and flow cost information that movable historical cost information determines goal activities.
The historical cost information of goal activities can be 1 year in the past or the cost data of each goal activities of half a year.
The cost of goal activities may include human cost, financial cost and flow cost three parts, human cost body
The human resources of existing activity investment include activity planning human cost, research and development human cost, operation human cost etc.；Finance at
The financial resources of this embodiment activity investment, red packet provide total amount, prize provides the amount of money and market Fee Amount etc.；Flow cost
The floating resources of embodiment activity investment, such as launch advertising cost or promote cost, flow cost calculating can use following formula:
Flow cost=activity participating user's number * single user obtains objective cost (putting into comprising floating resources).
In the step s 120, based on the human cost information, financial cost information and flow cost information to described
Multiple goal activities carry out clustering processing and obtain multiple class clusters.
Since the human cost, financial cost and flow cost of different types of goal activities are different, such as insurance class,
The financial cost of class product of managing money matters has difference, and human cost is also different, it is therefore desirable to different human costs, finance at
The goal activities of this and flow cost carry out clustering processing.It, can be to not by carrying out clustering processing to multiple goal activities
The operation activity of same type carries out classification assessment, so as to improve the accuracy of assessment.
In the exemplary embodiment, the human cost, financial cost and flow cost for counting each goal activities, are based on
Human cost, financial cost and the flow cost of each goal activities carry out clustering processing to goal activities.For example, can count
The distance between the totle drilling cost vector for calculating each goal activities, clusters goal activities based on the distance, goal activities
Totle drilling cost vector may include human cost component, financial cost component and flow cost component.
In the exemplary embodiment, cluster operation may include K mean cluster operation or the cluster operation of K neutral point, can also be with
Operation such as hierarchical clustering operation or density clustering operation are clustered for other.
It should be noted that distance can be Hamming distances, Euclidean distance, cosine between the totle drilling cost vector of goal activities
Distance, but the distance in exemplary embodiment of the present invention is without being limited thereto, such as distance can also be mahalanobis distance, Manhattan
Distance etc..
In step s 130, human cost weight, financial cost weight and flow cost weight based on each class cluster
Human cost, financial cost and the flow cost of each goal activities of each class cluster are weighted each to assess
Each goal activities in class cluster.
Since the human cost, financial cost and flow cost of different types of goal activities are different, each index
The setting of weight should be different.In the exemplary embodiment, it can be determined based on the type of each class cluster each in each class cluster
Human cost weight, financial cost weight and the flow cost weight of goal activities；Based on the human cost weight, finance
Human cost, financial cost and the flow of cost weight and flow cost weight to each goal activities in each class cluster
Cost is weighted；Each goal activities in each class cluster are assessed based on the result of ranking operation.
For example, the weight of the financial cost of insurance class marketing activity is higher, fund class marketing activity financial cost is higher, raw
Class marketing activity flow cost living is higher, is carried out based on different types of movable weight to the movable cost in each class cluster
Assessment.
In step S140, the on-line time of result and each goal activities based on assessment is to each in each class cluster
A goal activities are ranked up.
Can the result based on assessment each operation activity in every a kind of cluster is ranked up, based on each operation it is movable on
The line time is adjusted the result of sequence.Migration efficiency can be adjusted according to assessment result to mention by being ranked up to operation activity
It rises movable User Activity degree and attracts more users participation activity.
Further, in some embodiments, the panic buying activity for short-term activity such as one week, can be living according to target
Dynamic on-line time calculates the value of its this great forgetting curve of guest that ends, which weighs as the time of the assessment result of each goal activities
Weight.
In addition, in order to protect new online activity, for the new operation activity in discontented 3 days of online number of days, according to operation
Fixed the 2nd, 4,6,8 for being placed on sorted lists of movable on-line time, so that new operation activity be allowed to have enough time verifying effect
Fruit.
The active evaluation method according to shown in Fig. 1, on the one hand, the historical cost information based on goal activities is to each operation
Activity carries out clustering processing, the comparable activity of cost scale can be divided into same class；Believed based on each movable human cost
Breath, financial cost information and each activity of flow cost information evaluation, can be from many aspects more accurately to each activity
Cost carry out quantitative evaluation；In another aspect, result and each movable on-line time based on assessment are to the work in class cluster
It is dynamic to be ranked up, configuration can be optimized to activity cost and platform resource according to quantitative evaluation result.
Fig. 2 shows the streams assessed according to some embodiments of the present invention each goal activities in each class cluster
Journey schematic diagram.
Referring to shown in Fig. 2, in step S210, human cost component, the wealth of the class cluster center vector of each class cluster are determined
Business cost component and flow cost component.
In the exemplary embodiment, cluster operation use K mean algorithm or K central point algorithm when, can with mean value or in
Heart point represents the class cluster center of each class cluster.After each class cluster center has been determined, so that it may obtain class cluster center vector, count
Calculate each component, that is, human cost component, financial cost component and the flow cost component of class cluster center vector.
In step S220, based on the human cost component, the financial cost component and the flow cost point
Amount determines human cost weight, financial cost weight and the flow cost weight of each class cluster.
In the exemplary embodiment, the human cost component of target class cluster and the average human cost of all goal activities are determined
Ratio, using the ratio as the human cost weight of such cluster；Determine that financial cost component and all targets of such cluster are living
The ratio of dynamic average financial cost, using the ratio as the financial cost weight of such cluster；Determine the flow cost of such cluster
The ratio of the average flow rate cost of component and all goal activities, using the ratio as the flow cost weight of such cluster.
In step S230, based on the human cost weight, financial cost weight and flow cost weight to each
Human cost, financial cost and the flow cost of each goal activities in class cluster are weighted.
In the exemplary embodiment, the human cost weight, financial cost weight and flow that each class cluster has been determined at
It, can be based on the human cost weight, financial cost weight and flow cost weight in each class cluster after this weight
Human cost, financial cost and the flow cost of each goal activities be weighted.
Each goal activities in step S240, in each class cluster of outcome evaluation based on ranking operation.
It in the exemplary embodiment, can be living based on each target in such cluster is calculated in the ranking operation in step S230
Dynamic assessment score.Further, it is also based on the assessment score to assess the goal activities of all class clusters, be based on
Assessment score is ranked up the goal activities of all class clusters, based on ranking results to the activity cost of each goal activities and
Platform resource optimizes configuration.
Fig. 3 shows the stream being ranked up according to some embodiments of the present invention to each goal activities in each class cluster
Journey schematic diagram.
Referring to shown in Fig. 3, in step s310, the score based on the assessment carries out the goal activities in every a kind of cluster
Descending arrangement.
In the exemplary embodiment, can the assessment score based on each goal activities in every a kind of cluster in every a kind of cluster
Operation activity carry out descending arrangement.The assessment score can reflect the input cost amount of goal activities.
In step s 320, the on-line time based on each goal activities determines the time weighting of each goal activities.
It in the exemplary embodiment,, can in order to protect online operation activity soon when the on-line time of goal activities is shorter
It is higher its time weighting to be arranged, when the on-line time of goal activities is longer, its time weighting can be arranged compared with
It is low.
In step S330, the time weighting of each goal activities is multiplied with the score of the assessment, based on multiplication
Result sequence that the descending is arranged be adjusted.
In the exemplary embodiment, it determines after respectively runing movable time weighting in class cluster, by each operation movable time
Weight is multiplied with each movable assessment score of operation, is resequenced based on the result of multiplication to each operation activity.
In addition, in an embodiment of the present invention, additionally providing a kind of active evaluation device.Fig. 4 is shown according to the present invention
Some embodiments active evaluation device schematic block diagram.
Referring to shown in Fig. 4, which may include: acquiring unit 410, cluster cell 420, assessment list
Member 430 and sequencing unit 440.Wherein, acquiring unit 410 is used to obtain human cost information, the finance of multiple goal activities
Cost information and flow cost information；Cluster cell 420 be used for based on the human cost information, financial cost information and
Flow cost information carries out clustering processing to the multiple goal activities and obtains multiple class clusters；Assessment unit 430 is used for based on every
People of human cost weight, financial cost weight and the flow cost weight of a class cluster to each goal activities of each class cluster
Power cost, financial cost and flow cost are weighted to assess each goal activities in each class cluster；Sequence is single
Member 440 for result and each goal activities based on assessment on-line time to each goal activities in each class cluster into
Row sequence.
In some embodiments of the invention, aforementioned schemes are based on, assessment unit 430 includes: weight determining unit, is used for
Based on each class cluster type determine the human cost weights of each goal activities in each class cluster, financial cost weight and
Flow cost weight；Ranking operation unit, for based on the human cost weight, financial cost weight and flow cost power
Human cost, financial cost and the flow cost of each goal activities in each class cluster are weighted again；Assessment
Processing unit, for each goal activities in each class cluster of outcome evaluation based on ranking operation.
In some embodiments of the invention, aforementioned schemes are based on, the weight determining unit is configured as: determined each
Human cost component, financial cost component and the flow cost component of the class cluster center vector of class cluster；Based on the manpower at
This component, the financial cost component and the flow cost component determine each class cluster human cost weight, finance at
This weight and flow cost weight.
In some embodiments of the invention, aforementioned schemes are based on, the weight determining unit is configured as: described in determining
The human cost ratio of the average human cost of the human cost component and the multiple goal activities of class cluster, by the manpower at
Human cost weight of this ratio as the class cluster；Determine the financial cost component and the multiple goal activities of the class cluster
Average financial cost financial cost ratio, using the financial cost ratio as the financial cost weight of the class cluster；Really
The flow cost ratio of the average flow rate cost of the flow cost component and the multiple goal activities of the fixed class cluster, will be described
Flow cost weight of the flow cost ratio as the class cluster.
In some embodiments of the invention, aforementioned schemes are based on, sequencing unit 440 includes: descending arrangement units, is used for
Score based on the assessment carries out descending arrangement to the goal activities in every a kind of cluster；Time weighting determination unit is used for base
The time weighting of each goal activities is determined in the on-line time of each goal activities；Adjustment unit, for by the institute of each goal activities
It states time weighting to be multiplied with the score of the assessment, the sequence for arranging the descending based on the result of multiplication is adjusted.
In some embodiments of the invention, aforementioned schemes are based on, time weighting determination unit is configured as: according to target
Movable on-line time determines the value of Chinese mugwort this great forgetting curve of guest of the goal activities；By Chinese mugwort this great forgetting curve of guest
It is worth the time weighting as the goal activities.
In some embodiments of the invention, aforementioned schemes are based on, cluster cell 420 includes: that totle drilling cost vector determines list
Member, for determining the total of each goal activities based on the human cost information, financial cost information and flow cost information
Cost vector；Distance determining unit, the distance between the totle drilling cost vector for determining each goal activities；Clustering processing list
Member obtains multiple class clusters for carrying out clustering processing to the multiple goal activities based on the distance.
Each functional module and above-mentioned active evaluation side due to the active evaluation device 400 of example embodiments of the present invention
The step of example embodiment of method, is corresponding, therefore details are not described herein.
In an exemplary embodiment of the present invention, a kind of electronic equipment that can be realized the above method is additionally provided.
Below with reference to Fig. 5, it illustrates the computer systems 500 for the electronic equipment for being suitable for being used to realize the embodiment of the present invention
Structural schematic diagram.The computer system 500 of electronic equipment shown in Fig. 5 is only an example, should not be to the embodiment of the present invention
Function and use scope bring any restrictions.
As shown in figure 5, computer system 500 includes central processing unit (CPU) 501, it can be read-only according to being stored in
Program in memory (ROM) 502 or be loaded into the program in random access storage device (RAM) 503 from storage section 508 and
Execute various movements appropriate and processing.In RAM 503, it is also stored with various programs and data needed for system operatio.CPU
501, ROM 502 and RAM 503 is connected with each other by bus 504.Input/output (I/O) interface 505 is also connected to bus
504。
I/O interface 505 is connected to lower component: the importation 506 including keyboard, mouse etc.；It is penetrated including such as cathode
The output par, c 507 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage section 508 including hard disk etc.；
And the communications portion 509 of the network interface card including LAN card, modem etc..Communications portion 509 via such as because
The network of spy's net executes communication process.Driver 510 is also connected to I/O interface 505 as needed.Detachable media 511, such as
Disk, CD, magneto-optic disk, semiconductor memory etc. are mounted on as needed on driver 510, in order to read from thereon
Computer program be mounted into storage section 508 as needed.
Particularly, according to an embodiment of the invention, may be implemented as computer above with reference to the process of flow chart description
Software program.For example, the embodiment of the present invention includes a kind of computer program product comprising be carried on computer-readable medium
On computer program, which includes the program code for method shown in execution flow chart.In such reality
It applies in example, which can be downloaded and installed from network by communications portion 509, and/or from detachable media
511 are mounted.When the computer program is executed by central processing unit (CPU) 501, executes and limited in the system of the application
Above-mentioned function.
It should be noted that computer-readable medium shown in the present invention can be computer-readable signal media or meter
Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not
Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter
The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires
Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage
Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device,
Or above-mentioned any appropriate combination.In the present invention, computer readable storage medium can be it is any include or storage journey
The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this
In invention, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium
Program code can transmit with any suitable medium, including but not limited to: wireless, electric wire, optical cable, RF etc. are above-mentioned
Any appropriate combination.
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of above-mentioned module, program segment or code include one or more
Executable instruction for implementing the specified logical function.It should also be noted that in some implementations as replacements, institute in box
The function of mark can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are practical
On can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it wants
It is noted that the combination of each box in block diagram or flow chart and the box in block diagram or flow chart, can use and execute rule
The dedicated hardware based systems of fixed functions or operations is realized, or can use the group of specialized hardware and computer instruction
It closes to realize.
Being described in unit involved in the embodiment of the present invention can be realized by way of software, can also be by hard
The mode of part realizes that described unit also can be set in the processor.Wherein, the title of these units is in certain situation
Under do not constitute restriction to the unit itself.
As on the other hand, present invention also provides a kind of computer-readable medium, which be can be
Included in electronic equipment described in above-described embodiment；It is also possible to individualism, and without in the supplying electronic equipment.
Above-mentioned computer-readable medium carries one or more program, when the electronics is set by one for said one or multiple programs
When standby execution, so that the electronic equipment realizes such as above-mentioned active evaluation method as described in the examples.
For example, the electronic equipment may be implemented as shown in Figure 1: step S110, based on going through for multiple goal activities
History cost information determines the human cost information, financial cost information and flow cost information of each goal activities；Step
S120 carries out the multiple goal activities based on the human cost information, financial cost information and flow cost information
Clustering processing obtains multiple class clusters；Step S130, human cost weight, financial cost weight and flow based on each class cluster
Cost weight to human cost, financial cost and the flow cost of each goal activities of each class cluster be weighted with
Assess each goal activities in each class cluster；Step S140, result and each goal activities based on assessment it is online when
Between each goal activities in each class cluster are ranked up.
It should be noted that although being referred to several modules for acting the device executed in the above detailed description
Or unit, but this division is not enforceable.In fact, embodiment according to the present invention, above-described two
Or more the feature and function of module or unit can be embodied in a module or unit.Conversely, above-described
One module or the feature and function of unit can be to be embodied by multiple modules or unit with further division.
Through the above description of the embodiments, those skilled in the art is it can be readily appreciated that example described herein is implemented
Mode can also be realized by software realization in such a way that software is in conjunction with necessary hardware.Therefore, according to the present invention
The technical solution of embodiment can be embodied in the form of software products, which can store non-volatile at one
Property storage medium (can be CD-ROM, USB flash disk, mobile hard disk etc.) in or network on, including some instructions are so that a calculating
Equipment (can be personal computer, server, touch control terminal or network equipment etc.) executes embodiment according to the present invention
Method.
Those skilled in the art after considering the specification and implementing the invention disclosed here, will readily occur to of the invention its
Its embodiment.This application is intended to cover any variations, uses, or adaptations of the invention, these modifications, purposes or
Person's adaptive change follows general principle of the invention and including the undocumented common knowledge in the art of the present invention
Or conventional techniques.The description and examples are only to be considered as illustrative, and true scope and spirit of the invention are by following
Claim is pointed out.
It should be understood that the present invention is not limited to the precise structure already described above and shown in the accompanying drawings, and
And various modifications and changes may be made without departing from the scope thereof.The scope of the present invention is limited only by the attached claims.
Claims (10)
1. a kind of active evaluation method characterized by comprising
The human cost information of each goal activities, financial cost information are determined based on the historical cost information of multiple goal activities
And flow cost information；
The multiple goal activities are gathered based on the human cost information, financial cost information and flow cost information
Class processing obtains multiple class clusters；
The each mesh of human cost weight, financial cost weight and flow cost weight based on each class cluster to each class cluster
Movable human cost, financial cost and flow cost is marked to be weighted to assess each target in each class cluster and live
It is dynamic；
The on-line time of result and each goal activities based on assessment arranges each goal activities in each class cluster
Sequence.
2. active evaluation method according to claim 1, which is characterized in that the human cost power based on each class cluster
Weight, financial cost weight and flow cost weight to the human costs of each goal activities of each class cluster, financial cost with
And flow cost is weighted to assess each goal activities in each class cluster, comprising:
Human cost weight, the financial cost weight of each goal activities in each class cluster are determined based on the type of each class cluster
And flow cost weight；
It is living to each target in each class cluster based on the human cost weight, financial cost weight and flow cost weight
Dynamic human cost, financial cost and flow cost is weighted；
Each goal activities in each class cluster of outcome evaluation based on ranking operation.
3. active evaluation method according to claim 2, which is characterized in that the type based on each class cluster determines every
Human cost weight, financial cost weight and the flow cost weight of each goal activities in a class cluster, comprising:
Determine human cost component, financial cost component and the flow cost component of the class cluster center vector of each class cluster；
The people of each class cluster is determined based on the human cost component, the financial cost component and the flow cost component
Power cost weight, financial cost weight and flow cost weight.
4. active evaluation method according to claim 3, which is characterized in that described to be based on the human cost component, institute
State financial cost component and the flow cost component determine the human cost weight of each class cluster, financial cost weight and
Flow cost weight, comprising:
Determine the human cost ratio of the human cost component of the class cluster and the average human cost of the multiple goal activities,
Using the human cost ratio as the human cost weight of the class cluster；
Determine the financial cost ratio of the financial cost component of the class cluster and the average financial cost of the multiple goal activities,
Using the financial cost ratio as the financial cost weight of the class cluster；
Determine the flow cost ratio of the flow cost component of the class cluster and the average flow rate cost of the multiple goal activities,
Using the flow cost ratio as the flow cost weight of the class cluster.
5. active evaluation method according to claim 1, which is characterized in that the result based on the assessment and each
The on-line time of a goal activities is ranked up each goal activities in each class cluster, comprising:
Score based on the assessment carries out descending arrangement to the goal activities in every a kind of cluster；
The time weighting of each goal activities is determined based on the on-line time of each goal activities；
The time weighting of each goal activities is multiplied with the score of the assessment, the descending is arranged based on the result of multiplication
The sequence of column is adjusted.
6. active evaluation method according to claim 5, which is characterized in that the on-line time based on each goal activities
Determine the time weighting of each goal activities, comprising:
The value of Chinese mugwort this great forgetting curve of guest of the goal activities is determined according to the on-line time of goal activities；
Using the value of Chinese mugwort this great forgetting curve of guest as the time weighting of the goal activities.
7. active evaluation method according to any one of claim 1 to 6, which is characterized in that described to be based on the manpower
Cost information, financial cost information and flow cost information carry out clustering processing to the multiple goal activities and obtain multiple classes
Cluster, comprising:
The totle drilling cost of each goal activities is determined based on the human cost information, financial cost information and flow cost information
Vector；
Determine the distance between the totle drilling cost vector of each goal activities；
Clustering processing is carried out to the multiple goal activities based on the distance and obtains multiple class clusters.
8. a kind of active evaluation device characterized by comprising
Acquiring unit, for obtaining the human cost information, financial cost information and flow cost information of multiple goal activities；
Cluster cell, for being based on the human cost information, financial cost information and flow cost information to the multiple
Goal activities carry out clustering processing and obtain multiple class clusters；
Assessment unit, for human cost weight, financial cost weight and flow cost weight based on each class cluster to every
Human cost, financial cost and the flow cost of each goal activities of a class cluster are weighted to assess each class cluster
In each goal activities；
Sequencing unit, the on-line time for result and each goal activities based on assessment is to each mesh in each class cluster
Mark activity is ranked up.
9. a kind of electronic equipment characterized by comprising
Processor；And
Memory is stored with computer-readable instruction on the memory, and the computer-readable instruction is held by the processor
The active evaluation method as described in any one of claims 1 to 7 is realized when row.
10. a kind of computer readable storage medium, is stored thereon with computer program, the computer program is executed by processor
Active evaluation method of the Shi Shixian as described in any one of claims 1 to 7.
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