CN104391968B - A kind of evaluation method and device of the characteristic parameter of application - Google Patents
A kind of evaluation method and device of the characteristic parameter of application Download PDFInfo
- Publication number
- CN104391968B CN104391968B CN201410729282.9A CN201410729282A CN104391968B CN 104391968 B CN104391968 B CN 104391968B CN 201410729282 A CN201410729282 A CN 201410729282A CN 104391968 B CN104391968 B CN 104391968B
- Authority
- CN
- China
- Prior art keywords
- application
- user
- characteristic parameter
- parameter
- weight
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 77
- 238000009825 accumulation Methods 0.000 claims description 44
- 230000001186 cumulative effect Effects 0.000 claims description 12
- 230000003542 behavioural effect Effects 0.000 claims description 4
- 230000006399 behavior Effects 0.000 description 123
- 230000006870 function Effects 0.000 description 25
- 230000000694 effects Effects 0.000 description 16
- 238000004364 calculation method Methods 0.000 description 8
- 238000004458 analytical method Methods 0.000 description 6
- 230000002349 favourable effect Effects 0.000 description 6
- 239000013589 supplement Substances 0.000 description 6
- 230000014759 maintenance of location Effects 0.000 description 5
- 241000208340 Araliaceae Species 0.000 description 4
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 description 4
- 235000003140 Panax quinquefolius Nutrition 0.000 description 4
- 235000013399 edible fruits Nutrition 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 235000008434 ginseng Nutrition 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 230000015572 biosynthetic process Effects 0.000 description 3
- 239000000047 product Substances 0.000 description 3
- 238000003786 synthesis reaction Methods 0.000 description 3
- 239000002131 composite material Substances 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000009191 jumping Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000001035 drying Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/903—Querying
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of evaluation method and device of the characteristic parameter of application.The described method includes：The data of N number of application are obtained from server, wherein the data each applied include X user behavior parameter and Y are applied characteristic parameter；And characteristic parameter is applied based on the X user behavior parameter and the Y, the characteristic parameter of each application is estimated.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of evaluation method and device of the characteristic parameter of application.
Background technology
With the development and popularization of computer technology, the demand that various information are obtained by search server also increasingly increases
Add.It is also increasing for the demand of used application in electronic equipment of various.And how effectively according to each application
Property indices carry out comprehensive estimate to it, and the performance, the efficiency of raising server for optimization application are very important.
At present, the total solution of neither one application characteristic parameter estimation is gone back.In practice, each company is according to oneself
Experience, choose some indexs (such as next day retains, retains for 3rd), then these indexs are carried out with subjective combination, form one
A simple method estimates the characteristic parameter of application.Although this method can be to a certain extent to the spy of application
Sign parameter is estimated, but these methods mainly have following defect：First, the information content of index is inadequate, and index system is not
Enough complete, in current certain methods, it is to base mainly to use to index, these indexs such as next day retention, retentions on the three
Some of plinth index are abstract, it is impossible to reflect required application message comprehensively, if only being carried out applying feature with such index
Parameter estimation, its effect can be also affected to some extent, and also need to choose some more basic indexs in practical applications, this
Information content bigger contained by a little indexs, more there is examination.In addition, in current certain methods, index system is not enough
Completely, on the basis of these indexs, it is also necessary to add the index of some products in itself.Secondly, used method has necessarily
Limitation, be that subjective simple combination is carried out to selected index in current method, this combination is mainly rule of thumb
Come what is carried out, there is certain limitation in reasonability and convincingness, so the what is said or talked about of one can be caused to be difficult to persuade other people；Cause
This, on the basis of subjective experience, it is also necessary to reference to the method for more science, quantify the experience of expert by these methods,
It is so just more rationally and convincing.Again, in current method, subjective experience is mainly used by selected index
It is combined.But due to the limitation and deviation in understanding, such way may bring some unknown irrationalities.
Therefore, on the basis of this method, it is also necessary to which objective method is adjusted subjective method, so as to can just obtain
To a more reasonable and convictive result.
The content of the invention
In view of the above problems, it is proposed that the present invention, overcomes the above problem in order to provide one kind or solve at least in part
The evaluation method and device of the characteristic parameter of the application of the above problem.
According to the first aspect of the present invention, there is provided a kind of evaluation method of the characteristic parameter of application, including：From server
The data of N number of application are obtained, wherein the data each applied include X user behavior parameter and Y are applied characteristic parameter；And
Characteristic parameter is applied based on the X user behavior parameter and the Y, the characteristic parameter of each application is estimated.
Alternatively, wherein carrying out estimation to the characteristic parameter of each application includes：Based on from the N acquired in server
The data of a application, calculate the weight Wx and each weight Wy for applying characteristic parameter of each user behavior parameter of each application；
X user behavior parameter and its respective weight Wx based on each application, and Y application characteristic parameter and its respective power
Weight Wy, estimates the characteristic parameter of each application, to obtain the first estimation result.
Alternatively, the X user behavior parameter based on each application and its respective weight Wx, and Y apply feature
Parameter and its respective weight Wy, carrying out estimation to the characteristic parameter of each application includes：Determine the power of X user behavior parameter
Maximum Wmax in the weight Wy of weight Wx and Y application characteristic parameter；Respectively calculate X user behavior parameter weight Wx with
The weight Wy of Y application characteristic parameter is relative to the ratio of Wmax, the standardized weight as the X user behavior parameter Wx
WxRWith the standardized weight Wy of Y application characteristic parameterR；X user behavior parameter and its respective mark based on each application
Standardization weight WxR, and Y application characteristic parameter and its respective standardized weight WyR, the feature each applied is joined
Number is estimated, to obtain the first estimation result.
Alternatively, wherein the average user that the user behavior parameter includes the application enlivens number of days, average user makes
With duration, day any active ues par, all any active ues pars, and/or non-user's ratio on the one；It is described to apply feature
Parameter includes the average user access times of the function button of the application, and/or average user use ratio.
Alternatively, wherein carrying out estimation to each application includes：Should based on the X user behavior parameter and the Y
With characteristic parameter, the characteristic parameter of each application is estimated using DEA Method, to obtain the second estimation result.
Alternatively, wherein the accumulation user that the user behavior parameter includes the application enlivens number of days, accumulation user makes
With duration, day any active ues cumulative amount, all any active ues cumulative amounts, and/or non-user's ratio on the one；It is described to apply feature
Parameter includes accumulation user's access times of the function button of the application, and/or accumulation user's use ratio.
Alternatively, the X user behavior parameter based on each application and its respective standardized weight WxR, and Y should
With characteristic parameter and its respective standardized weight WyR, the characteristic parameter each applied is estimated, to obtain first
After estimation result, the method further includes：Calculate the weighted average of first estimation result and second estimation result
Value, to obtain final estimation result.
According to the second aspect of the invention, there is provided a kind of estimation device of the characteristic parameter of application, including：Data acquisition
Module, suitable for obtaining the data of N number of application from server, wherein the data each applied include X user behavior parameter and Y
Using characteristic parameter；And estimation block, it is right suitable for applying characteristic parameter based on the X user behavior parameter and the Y
The characteristic parameter each applied is estimated.
Alternatively, wherein the estimation block is suitable for：Based on the data from N number of application acquired in server, meter
Calculate the weight Wx and each weight Wy for applying characteristic parameter of each user behavior parameter of each application；X based on each application
A user behavior parameter and its respective weight Wx, and Y application characteristic parameter and its respective weight Wy, to each application
Characteristic parameter estimated, to obtain the first estimation result.
Alternatively, wherein the estimation block is suitable for：Determine that weight Wx and Y of X user behavior parameter applies feature
Maximum Wmax in the weight Wy of parameter；The weight Wx for calculating X user behavior parameter respectively and Y apply characteristic parameter
Weight Wy is relative to the ratio of Wmax, the standardized weight Wx as the X user behavior parameter WxRFeature is applied with Y
The standardized weight Wy of parameterR；X user behavior parameter and its respective standardized weight Wx based on each applicationR, and Y
A application characteristic parameter and its respective standardized weight WyR, the characteristic parameter each applied is estimated, to obtain
First estimation result.
Alternatively, wherein the average user that the user behavior parameter includes the application enlivens number of days, average user makes
With duration, day any active ues par, all any active ues pars, and/or non-user's ratio on the one；It is described to apply feature
Parameter includes the average user access times of the function button of the application, and/or average user use ratio.
Alternatively, wherein the evaluation module is suitable for joining based on the X user behavior parameter and the Y application feature
Number, estimates the characteristic parameter of each application using DEA Method, to obtain the second estimation result.
Alternatively, wherein the accumulation user that the user behavior parameter includes the application enlivens number of days, accumulation user makes
With duration, day any active ues cumulative amount, all any active ues cumulative amounts, and/or non-user's ratio on the one；It is described to apply feature
Parameter includes accumulation user's access times of the function button of the application, and/or accumulation user's use ratio.
Alternatively, the X user behavior parameter based on each application and its respective standardized weight WxR, and Y should
With characteristic parameter and its respective standardized weight WyR, the characteristic parameter each applied is estimated, to obtain first
After estimation result, the estimation block is further adapted for：Calculate the weighting of first estimation result and second estimation result
Average value, to obtain final estimation result.
The present invention provides the method and apparatus of the estimation of the characteristic parameter of above-mentioned application according to an embodiment of the invention.
According to an embodiment of the invention, the method and apparatus of the estimation of the characteristic parameter of application according to an embodiment of the invention, pass through
It is used to subsequently estimate using user behavior parameter and application characteristic parameter, constructs improved index of estimate system, add finger
Target information content, contain more information amount, examination effect it is stronger, solve the information for index used in estimation
The problem of content is inadequate；In addition, user behavior parameter herein and application characteristic parameter can be by for different evaluation methods
Different is specifically defined, and has the flexibility significantly improved；Before being estimated, to each user behavior parameter and using feature
Parameter is standardized this mode, avoids possible notable shadow of the error to estimation result of individual parameters or its weight
Ring, improve the accuracy of estimation result, make estimation result that there is more high-efficiency and stability；And use two by comprehensive
Kind of mode obtains final estimation result, and assessment result can be made more objective, accurate, improve the order of accuarcy of estimation result
And integrality, so as to effectively optimize the performance of application, improve the efficiency of server.
Described above is only the general introduction of technical solution of the present invention, in order to better understand the technological means of the present invention,
And can be practiced according to the content of specification, and in order to allow above and other objects of the present invention, feature and advantage can
Become apparent, below especially exemplified by the embodiment of the present invention.
Brief description of the drawings
By reading the detailed description of hereafter preferred embodiment, it is various other the advantages of and benefit it is common for this area
Technical staff will be clear understanding.Attached drawing is only used for showing the purpose of preferred embodiment, and is not considered as to the present invention
Limitation.And in whole attached drawing, identical component is denoted by the same reference numerals.In the accompanying drawings：
Fig. 1 is the flow chart of the evaluation method of the characteristic parameter of application according to an embodiment of the invention；And
Fig. 2 is the structure diagram of the estimation device of the characteristic parameter of application according to an embodiment of the invention.
Embodiment
The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although the disclosure is shown in attached drawing
Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here
Limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure
Completely it is communicated to those skilled in the art.
According to the first aspect of the invention, there is provided a kind of characteristic parameter of application according to an embodiment of the invention is estimated
The method 100 of calculation.
Fig. 1 shows the flow chart of the evaluation method 100 of the characteristic parameter of application according to an embodiment of the invention.
As shown in Figure 1, the evaluation method 100 of the characteristic parameter of application starts from step S101：N number of application is obtained from server
Data, wherein the data each applied include, X user behavior parameter and Y are a to apply characteristic parameter.
In an embodiment of the present invention, server can be one or more server computers, may be configured as providing certain
Kind server capability, such as data base administration and search engine.Server can include at least one processor, itself and memory
And a number of other module interoperates.The processor can include multiple cores, for multithreading or parallel processing.Institute
One or more storage devices can be included by stating memory, and memory or storage device therein include non-volatile computer
Readable record/storage medium.
In an embodiment of the present invention, application can be the program worked out using various programming languages, its general tool
There is visual user interface, can be interacted with user, and used for multi-user, to meet user's different field, difference
The demand of problem.Using can be used on the electronic equipments such as mobile phone, computer, including but not limited to game, multimedia application,
Navigation application etc..Hereinafter, by play as the example of application, the principle of the present invention is illustratively described.
In an embodiment of the present invention, the user behavior parameter can enliven number of days including the user of the application, use
Family uses duration, day any active ues quantity, all any active ues quantity, non-user's ratio on the one, and/or other users behavior ginseng
Number；User's access times of the function button for including the application using characteristic parameter, user's use ratio, and/or its
He applies characteristic parameter.According to the method for the embodiment of the present invention 100, included by adding the application user enliven number of days,
User is made using the user behavior parameter of duration, day any active ues quantity, all any active ues quantity, non-user's ratio on the one etc.
Data for subsequently estimating contain more information amount, examination effect it is stronger, solve for referring to used in estimation
The problem of target information content is inadequate；And the characteristic parameter using itself is added, the user of the function button of such as described application
Access times, user's use ratio etc., it is favourable supplement for user behavior parameter, constructs improved index of estimate body
System, adds the information content of index, improves the effect of examination；In addition, user behavior parameter herein and using characteristic parameter
It can be specifically defined for different evaluation methods by different, it can regard application-specific or used specific evaluation method
Depending on, for example, it can be that accumulation user enlivens number of days or average use for different evaluation methods that user, which enlivens number of days,
Number of days is enlivened at family, and user's access times can accumulate user's access times or average user access times, this side
Formula significantly improves the flexibility of method 100.
As shown in Figure 1, method 100 further includes step S103：Based on the X user behavior parameter and the Y application
Characteristic parameter, estimates the characteristic parameter of each application.Alternatively, the characteristic parameter of application can be total receipts of the application
Enter, retention ratio, overall network flow, or can be used for assessing any other characteristic parameter of the application energy.
Exemplary embodiment according to the present invention, carrying out estimation to the characteristic parameter of each application includes：Based on from service
The data of N number of application acquired in device, weight Wx and each application for calculating each user behavior parameter of each application are special
Levy the weight Wy of parameter；X user behavior parameter and its respective weight Wx based on each application, and Y apply feature
Parameter and its respective weight Wy, estimate the characteristic parameter of each application, to obtain the first estimation result.
Alternatively, it analytic hierarchy process (AHP) (AHP) can be used to estimate the characteristic parameter of each application, estimated with obtaining first
Calculate as a result, it can avoid the influence of extremum, can especially avoid the influence of deviation occurred when data occur unstable,
Make obtained estimation result more stable, accurate.Alternatively, the method for comentropy can be used, weight is provided based on achievement data
Objective method, the characteristic parameter of each application is estimated, to obtain the first estimation result.The user behavior parameter
The weight Wy of weight Wx or application characteristic parameter can the historical data based on server, statistical result etc., the meter being predetermined
Calculation mode is drawn, for example, required user behavior parameter can be predefined and using characteristic parameter, and estimates its respective power
Weight, parameter association matrix is established based on parameters and its respective weight；Based on the parameter association matrix obtained, calculate each
The respective relative weighting of parameter；Afterwards, based on user behavior parameter and using characteristic parameter and its respective relative weighting, lead to
Cross the following formula to estimate the characteristic parameter of each application, to obtain the first estimation result score：
Score=weight1*index1+weight2*index2+weight3*index3+weigh t4*index4+
weight5*index5+weight6*index6
Wherein, indexi can be user behavior parameter or using characteristic parameter；The characteristic parameter score of application can be
The total income of the application, retention ratio, overall network flow, or can be used for assessing any other feature ginseng of the application energy
Number.Alternatively, using the calculation of Baidu's index, economic performance of industrial enterprises composite index or PMI indexes, step analysis is passed through
Method, estimates the characteristic parameter of each application, to obtain the first estimation result score.
Exemplary embodiment according to the present invention, X user behavior parameter and its respective weight based on each application
Wx, and Y applied characteristic parameter and its respective weight Wy, carrying out estimation to the characteristic parameter of each application includes：Determine X
Maximum Wmax in the weight Wy of the weight Wx of a user behavior parameter and Y application characteristic parameter；X user is calculated respectively
The weight Wx of behavioral parameters and Y application characteristic parameter weight Wy relative to Wmax ratio, as the X user behavior
The standardized weight Wx of parameter WxRWith the standardized weight Wy of Y application characteristic parameterR；X user's row based on each application
For parameter and its respective standardized weight WxR, and Y application characteristic parameter and its respective standardized weight WyR, to institute
The characteristic parameter for stating each application is estimated, to obtain the first estimation result.By before being estimated, to each user's row
This mode is standardized for parameter and using characteristic parameter, avoids the error of individual parameters or its weight to estimation result
The possible accuracy for significantly affecting, improving estimation result, make estimation result that there is more high-efficiency and stability.
Exemplary embodiment according to the present invention, wherein the average user that the user behavior parameter includes the application is lived
Number of days, the average user of jumping use duration, day any active ues par, all any active ues pars, and/or non-user on the one
Ratio；The average user access times of the function button for including the application using characteristic parameter, and/or average user make
Use ratio.Alternatively, it can be standardized, selected to the user behavior parameter and using characteristic parameter by mark post analysis method
The larger application of the first estimation result is selected, should to other using the user behavior parameter of the application and application characteristic parameter as standard
User behavior parameter and application characteristic parameter are standardized respectively.For example, based on certain user obtained from server 7
(contain the 7th day) using the data of N number of application within it, if the application of entitled " mobile phone assistant " has the first larger estimation
As a result, for example more than a certain threshold range, then using the user behavior parameter of mobile phone assistant and application characteristic parameter as standard, to another
The user behavior parameter and application characteristic parameter of one application are standardized respectively, i.e. the use after the standardization of the another application
Family behavioral parameters may include：
The average user of another application enliven number of days/mobile phone assistant average user enliven number of days,
The average user of another application using duration/mobile phone assistant average user using duration,
Another application day any active ues par/mobile phone assistant day any active ues par,
All any active ues pars of all any active ues par/mobile phone assistants of another application, and/or
Non- user's ratio on the one of the non-ratio of user on the one/mobile phone assistant of another application；
It may include after the standardization of the another application using characteristic parameter：
The average use of the function button of average user access times/mobile phone assistant of the function button of the application of another application
Family access times, and/or
The average user use ratio of average user use ratio/mobile phone assistant of another application.
As described above, the average user that mistake addition includes the application enlivens number of days, average user uses duration, day active
The user behavior parameter of number of users, all any active ues quantity, non-user's ratio on the one etc., is used in the data packet subsequently estimated
It is stronger to have contained more information amount, examination effect, has solved inadequate for the information content of index used in estimation ask
Topic；And the characteristic parameter using itself is added, the average user access times of the function button of such as described application, average user
Use ratio etc., it is favourable supplement for user behavior parameter, constructs improved index of estimate system, adds index
Information content, improve the effect of examination.
Exemplary embodiment according to the present invention, wherein carrying out estimation to each application includes：Based on the X user row
Characteristic parameter is applied for parameter and the Y, the characteristic parameter of each application is estimated using DEA Method (DEA)
Calculate, to obtain the second estimation result.Circuit envelope method method is a kind of relatively objective analysis method, can be based on one group of input number
According to, such as the N and the data of application obtained from server, and one group of output data, such as X user behavior parameter and Y answer
With characteristic parameter, the characteristic parameter of each application is estimated, to obtain the second estimation result.Wherein, obtained from server
The data of N number of application may include the flow of N number of application；The user behavior parameter can include the user of the application
Number of days, user are enlivened using duration, day any active ues quantity, all any active ues quantity, non-user's ratio on the one, and/or other
User behavior parameter；User's access times of the function button using characteristic parameter including the application, user's use than
Example, and/or other application characteristic parameter.Alternatively, in DEA methods, input data or output data can be standardized,
Can be without standardization.Alternatively, suitable software, such as deap softwares can be used, by DEA methods, answer each
Characteristic parameter is estimated, to obtain the second estimation result.In the DEA methods used in this solution, second estimates
Calculate the result is that on the occasion of and the numerical value of the second estimation result is bigger, represents that the performance of the application is better.
Exemplary embodiment according to the present invention, wherein the accumulation user that the user behavior parameter includes the application lives
Jump number of days, accumulation user use duration, and/or non-user's ratio on the one；The work(for including the application using characteristic parameter
Accumulation user's access times of energy button, and/or accumulation user's use ratio.Alternatively, above-mentioned accumulation numerical value can be one section
In time, such as the accumulation numerical value in 7 days.Number of days, accumulation are enlivened as described above, crossing and adding the accumulation user for including the application
User is made using the user behavior parameter of duration, day any active ues quantity, all any active ues quantity, non-user's ratio on the one etc.
Data for subsequently estimating contain more information amount, examination effect it is stronger, solve for referring to used in estimation
The problem of target information content is inadequate；And the characteristic parameter using itself is added, the accumulation of the function button of such as described application
User's access times, accumulation user's use ratio etc., it is favourable supplement for user behavior parameter, constructs and improved estimates
Index system is calculated, adds the information content of index, improves the effect of examination.
Exemplary embodiment according to the present invention, can be first by calculating the X user's row that each apply in method 100
For parameter and its respective standardized weight WxR, and Y application characteristic parameter and its respective standardized weight WyR, to institute
The characteristic parameter for stating each application is estimated, to obtain the first estimation result；Then, based on the X user behavior parameter
Characteristic parameter is applied with the Y, the characteristic parameter of each application is estimated using DEA Method, to obtain the
Two estimation results；Finally, the weighted average of first estimation result and second estimation result is calculated, it is final to obtain
Estimation result.Final estimation result is obtained using above two mode by synthesis, assessment result can be made more objective, accurate
Really, the order of accuarcy and integrality of estimation result are improved.
In short, the estimation of the characteristic parameter for the application according to an embodiment of the invention that embodiments of the present invention provide
Method 100, is used to subsequently estimate, constructs improved index of estimate body by using user behavior parameter and application characteristic parameter
System, adds the information content of index, and it is stronger to contain more information amount, examination effect, solves for being made in estimation
The problem of inadequate with the information content of index；In addition, user behavior parameter and application characteristic parameter herein is estimated for different
Calculation method can be specifically defined by different, have the flexibility significantly improved；Before being estimated, each user behavior is joined
Number and be standardized this mode using characteristic parameter, avoid the error of individual parameters or its weight to estimation result can
Significantly affecting for energy, improves the accuracy of estimation result, estimation result is had more high-efficiency and stability；And pass through
Synthesis obtains final estimation result using two ways, and assessment result can be made more objective, accurate, improve estimation result
Order of accuarcy and integrality so that effectively optimize the performance of application, improve server efficiency.
According to the second aspect of the invention, there is provided a kind of characteristic parameter of application according to an embodiment of the invention is estimated
Calculate device 200.
Fig. 2 shows the schematic diagram of the estimation device 200 of the characteristic parameter of application according to an embodiment of the invention.
As shown in Fig. 2, the estimation device 200 of the characteristic parameter of application includes data acquisition module 201 and estimation block
203.Wherein 201 pieces of data acquisition mould is suitable for the data that N number of application is obtained from server, wherein the data each applied include X
A user behavior parameter and Y are applied characteristic parameter.
In an embodiment of the present invention, the user behavior parameter can enliven number of days including the user of the application, use
Family uses duration, day any active ues quantity, all any active ues quantity, non-user's ratio on the one, and/or other users behavior ginseng
Number；User's access times of the function button for including the application using characteristic parameter, user's use ratio, and/or its
He applies characteristic parameter.Device 200 according to embodiments of the present invention, by add include the application user enliven number of days,
User is made using the user behavior parameter of duration, day any active ues quantity, all any active ues quantity, non-user's ratio on the one etc.
Data for subsequently estimating contain more information amount, examination effect it is stronger, solve for referring to used in estimation
The problem of target information content is inadequate；And the characteristic parameter using itself is added, the user of the function button of such as described application
Access times, user's use ratio etc., it is favourable supplement for user behavior parameter, constructs improved index of estimate body
System, adds the information content of index, improves the effect of examination；In addition, user behavior parameter herein and using characteristic parameter
It can be specifically defined for different estimation devices by different, it can regard application-specific or used specific evaluation method
Depending on, for example, it can be that accumulation user enlivens number of days or average use for different estimation devices that user, which enlivens number of days,
Number of days is enlivened at family, and user's access times can accumulate user's access times or average user access times, this side
Formula significantly improves the flexibility of device 200.
As shown in Fig. 2, estimation block 203 is suitable for joining based on the X user behavior parameter and the Y application feature
Number, estimates the characteristic parameter of each application.Alternatively, the characteristic parameter of application can be the total income of the application, stay
Rate, overall network flow are deposited, or can be used for assessing any other characteristic parameter of the application energy.
Exemplary embodiment according to the present invention, estimation block 203 are suitable for：Based on from described N number of acquired in server
The data of application, calculate the weight Wx and each weight Wy for applying characteristic parameter of each user behavior parameter of each application；Base
X user behavior parameter and its respective weight Wx in each application, and Y application characteristic parameter and its respective weight
Wy, estimates the characteristic parameter of each application, to obtain the first estimation result.
Alternatively, analytic hierarchy process (AHP) (AHP) can be used to estimate the characteristic parameter of each application for estimation block 203,
To obtain the first estimation result, it can avoid the influence of extremum, can especially avoid occurring when data occur unstable
Deviation influence, make obtained estimation result more stable, accurate.Alternatively, the side of comentropy can be used in estimation block 203
Method, the objective method of weight is provided based on achievement data, and the characteristic parameter of each application is estimated, to obtain the first estimation
As a result.Estimation block 203 is suitable for the weight Wy of the weight Wx of the user behavior parameter or application characteristic parameter being based on service
The historical data of device, statistical result etc., the calculation being predetermined is drawn, for example, required user can be predefined
Behavioral parameters and using characteristic parameter, and estimate its respective weight, establish parameter based on parameters and its respective weight
Incidence matrix；Based on the parameter association matrix obtained, the respective relative weighting of each parameter is calculated；Afterwards, based on user behavior
Parameter and application characteristic parameter and its respective relative weighting, estimate the characteristic parameter of each application by the following formula
Calculate, to obtain the first estimation result score：
Score=weight1*index1+weight2*index2+weight3*index3+weigh t4*index4+
weight5*index5+weight6*index6
Wherein, indexi can be user behavior parameter or using characteristic parameter；The characteristic parameter score of application can be
The total income of the application, retention ratio, overall network flow, or can be used for assessing any other feature ginseng of the application energy
Number.Alternatively, using the calculation of Baidu's index, economic performance of industrial enterprises composite index or PMI indexes, step analysis is passed through
Method, estimates the characteristic parameter of each application, to obtain the first estimation result score.
Exemplary embodiment according to the present invention, estimation block 203 are suitable for：Determine the weight Wx of X user behavior parameter
With the maximum Wmax in the weight Wy of Y application characteristic parameter；Weight Wx and Y of X user behavior parameter is calculated respectively
Using the weight Wy of characteristic parameter relative to the ratio of Wmax, the standardized weight Wx as the X user behavior parameter WxR
With the standardized weight Wy of Y application characteristic parameterR；X user behavior parameter and its respective standard based on each application
Change weight WxR, and Y application characteristic parameter and its respective standardized weight WyR, to the characteristic parameter each applied
Estimated, to obtain the first estimation result.By before being estimated, to each user behavior parameter and using characteristic parameter
This mode is standardized, the error for avoiding individual parameters or its weight significantly affects the possible of estimation result, carries
The high accuracy of estimation result, makes estimation result have more high-efficiency and stability.
Exemplary embodiment according to the present invention, wherein the average user that the user behavior parameter includes the application is lived
Number of days, the average user of jumping use duration, day any active ues par, all any active ues pars, and/or non-user on the one
Ratio；The average user access times of the function button for including the application using characteristic parameter, and/or average user make
Use ratio.Alternatively, estimation block 203 can by mark post analysis method to the user behavior parameter and application characteristic parameter into
Row standardization, selects the larger application of the first estimation result, using the user behavior parameter of the application and application characteristic parameter as mark
Standard, user behavior parameter and application characteristic parameter to other application are standardized respectively.For example, it is based on obtaining from server
Certain user within 7 days (contain the 7th day) using N number of application data, if the application of entitled " mobile phone assistant " have compared with
The first big estimation result, such as more than a certain threshold range, then estimation block 203 with the user behavior parameter of mobile phone assistant and
It is standard using characteristic parameter, the user behavior parameter and application characteristic parameter to another application are standardized respectively, i.e. should
User behavior parameter after the standardization of another application may include：
The average user of another application enliven number of days/mobile phone assistant average user enliven number of days,
The average user of another application using duration/mobile phone assistant average user using duration,
Another application day any active ues par/mobile phone assistant day any active ues par,
All any active ues pars of all any active ues par/mobile phone assistants of another application, and/or
Non- user's ratio on the one of the non-ratio of user on the one/mobile phone assistant of another application；
It may include after the standardization of the another application using characteristic parameter：
The average use of the function button of average user access times/mobile phone assistant of the function button of the application of another application
Family access times, and/or
The average user use ratio of average user use ratio/mobile phone assistant of another application.
As described above, when the average user that device 200 includes the application by adding enlivens number of days, average user uses
The user behavior parameter of length, day any active ues quantity, all any active ues quantity, non-user's ratio on the one etc., is used in and subsequently estimates
The data of calculation contain more information amount, examination effect it is stronger, solve and contain for the information of index used in estimation
Measure the problem of inadequate；And the characteristic parameter using itself is added, the average user of the function button of application uses secondary as described in
Number, average user use ratio etc., it is favourable supplement for user behavior parameter, constructs improved index of estimate body
System, adds the information content of index, improves the effect of examination.
Exemplary embodiment according to the present invention, wherein estimation block 203 are suitable for：Based on the X user behavior parameter
Characteristic parameter is applied with the Y, the characteristic parameter of each application is estimated using DEA Method (DEA), with
Obtain the second estimation result.Circuit envelope method method is a kind of relatively objective analysis method, can be based on one group of input data, example
The N and the data of application such as obtained from server, and one group of output data, such as X user behavior parameter and Y is a applies feature
Parameter, estimates the characteristic parameter of each application, to obtain the second estimation result.Wherein, should from the N number of of server acquisition
Data may include the flow of N number of application；The user that the user behavior parameter can include the application enlivens day
Number, user use duration, day any active ues quantity, all any active ues quantity, non-user's ratio on the one, and/or other users row
For parameter；User's access times of the function button for including the application using characteristic parameter, user's use ratio, and/
Or other application characteristic parameter.Alternatively, in DEA methods, estimation block 203 can carry out standard to input data or output data
Change, can not also be standardized.Alternatively, suitable software, such as deap softwares can be used in estimation block 203, to pass through
DEA methods, estimate the characteristic parameter of each application, to obtain the second estimation result.Used in this solution
In DEA methods, the second estimation result is on the occasion of and the numerical value of the second estimation result is bigger, represents that the performance of the application is better.
Exemplary embodiment according to the present invention, wherein the accumulation user that the user behavior parameter includes the application lives
Jump number of days, accumulation user use duration, and/or non-user's ratio on the one；The work(for including the application using characteristic parameter
Accumulation user's access times of energy button, and/or accumulation user's use ratio.Alternatively, above-mentioned accumulation numerical value can be one section
In time, such as the accumulation numerical value in 7 days.As described above, the accumulation user for including the application by adding enlivens number of days, tires out
Product user uses the user behavior parameter of duration, day any active ues quantity, all any active ues quantity, non-user's ratio on the one etc.,
Be used in the data subsequently estimated contain more information amount, examination effect it is stronger, solve for used in estimation
The problem of information content of index is inadequate；And the characteristic parameter using itself is added, the function button of such as described application tires out
Product user access times, accumulation user's use ratio etc., it is favourable supplement for user behavior parameter, is constructed improved
Index of estimate system, adds the information content of index, improves the effect of examination.
Exemplary embodiment according to the present invention, estimation block 203 can be first by calculating the X user's row each applied
For parameter and its respective standardized weight WxR, and Y application characteristic parameter and its respective standardized weight WyR, to institute
The characteristic parameter for stating each application is estimated, to obtain the first estimation result；Then, estimation block 203 can be based on the X
User behavior parameter and the Y apply characteristic parameter, use characteristic parameter progress of the DEA Method to each application
Estimation, to obtain the second estimation result；Finally, estimation block 203 can calculate first estimation result and second estimation
As a result weighted average, to obtain final estimation result.Final estimation knot is obtained using above two mode by comprehensive
Fruit, can make assessment result more objective, accurate, improve the order of accuarcy and integrality of estimation result.
In short, the estimation of the characteristic parameter for the application according to an embodiment of the invention that embodiments of the present invention provide
Device 200, is used to subsequently estimate, constructs improved index of estimate body by using user behavior parameter and application characteristic parameter
System, adds the information content of index, and it is stronger to contain more information amount, examination effect, solves for being made in estimation
The problem of inadequate with the information content of index；In addition, user behavior parameter and application characteristic parameter herein is estimated for different
Calculation method can be specifically defined by different, have the flexibility significantly improved；Before being estimated, each user behavior is joined
Number and be standardized this mode using characteristic parameter, avoid the error of individual parameters or its weight to estimation result can
Significantly affecting for energy, improves the accuracy of estimation result, estimation result is had more high-efficiency and stability；And pass through
Synthesis obtains final estimation result using two ways, and assessment result can be made more objective, accurate, improve estimation result
Order of accuarcy and integrality so that effectively optimize the performance of application, improve server efficiency.
Method and apparatus are not inherently related to any certain computer, virtual system or miscellaneous equipment provided herein.
Various general-purpose systems can also be used together with teaching based on this.As described above, required by constructing this kind of device
Structure be obvious.In addition, the present invention is not also directed to any certain programmed language.It should be understood that it can utilize various
Programming language realizes the content of invention described herein, and the description done above to language-specific is to disclose this hair
Bright preferred forms.
In the specification that this place provides, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the present invention
Example can be put into practice in the case of these no details.In some instances, known method, structure is not been shown in detail
And technology, so as not to obscure the understanding of this description.
Similarly, it will be appreciated that in order to simplify the disclosure and help to understand one or more of each inventive aspect,
Above in the description to the exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes
In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention：I.e. required guarantor
The application claims of shield features more more than the feature being expressly recited in each claim.More precisely, such as right
As claim reflects, inventive aspect is all features less than single embodiment disclosed above.Therefore, it then follows tool
Thus claims of body embodiment are expressly incorporated in the embodiment, wherein the conduct of each claim in itself
The separate embodiments of the present invention.
Those skilled in the art, which are appreciated that, to carry out adaptively the module in the device in embodiment
Change and they are arranged in one or more devices different from the embodiment.Can be some modules in embodiment
A module or unit or component are combined into, and multiple submodule or subelement or sub-component can be divided into addition.
Except such feature and/or process or mould it is in the block it is at least some exclude each other in addition to, any combinations pair can be used
All features and so disclosed any method disclosed in this specification (including adjoint claim, summary and attached drawing)
Or all processes or unit of equipment are combined.Unless expressly stated otherwise, this specification (including adjoint right will
Ask, make a summary and attached drawing) disclosed in each feature can be replaced by providing identical, equivalent or similar purpose alternative features.
In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments
In included some features rather than further feature, but the combination of the feature of different embodiments means in of the invention
Within the scope of and form different embodiments.For example, in detail in the claims, embodiment claimed it is one of any
Mode it can use in any combination.
Each device embodiment of the present invention can be with hardware realization, or to be run on one or more processor
Software module realize, or realized with combinations thereof.It will be understood by those of skill in the art that it can use in practice
Microprocessor or digital signal processor (DSP) realize some or all moulds in device according to embodiments of the present invention
The some or all functions of block.The present invention is also implemented as the part or complete for performing method as described herein
The program of device (for example, computer program and computer program product) in portion.Such program for realizing the present invention can store
On a computer-readable medium, or can the form with one or more signal.Such signal can be from internet
Download and obtain on website, either provide on carrier signal or provided in the form of any other.
It should be noted that the present invention will be described rather than limits the invention for above-described embodiment, and ability
Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims,
Any reference symbol between bracket should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not
Element or step listed in the claims.Word "a" or "an" before element does not exclude the presence of multiple such
Element.The present invention can be by means of including the hardware of some different elements and being come by means of properly programmed computer real
It is existing.In if the unit claim of equipment for drying is listed, several in these devices can be by same hardware branch
To embody.The use of word first, second, and third does not indicate that any order.These words can be explained and run after fame
Claim.
The invention also discloses：
A1. a kind of evaluation method of the characteristic parameter of application, including：
The data of N number of application are obtained from server, wherein the data each applied include X user behavior parameter and Y
Using characteristic parameter；And
Characteristic parameter is applied based on the X user behavior parameter and the Y, the characteristic parameter of each application is carried out
Estimation.
A2. the method as described in A1, wherein carrying out estimation to the characteristic parameter of each application includes：
Based on the data from N number of application acquired in server, each user behavior parameter of each application is calculated
Weight Wx and each weight Wy for applying characteristic parameter；
X user behavior parameter and its respective weight Wx based on each application, and Y application characteristic parameter and its
Respective weight Wy, estimates the characteristic parameter of each application, to obtain the first estimation result.
A3. the method as described in A2, X user behavior parameter and its respective weight Wx based on each application, and Y
A application characteristic parameter and its respective weight Wy, carrying out estimation to the characteristic parameter of each application includes：
Determine the weight Wx and the Y maximum Wmax applied in the weight Wy of characteristic parameter of X user behavior parameter；
The weight Wx and the Y weight Wy using characteristic parameter of X user behavior parameter are calculated respectively relative to Wmax's
Ratio, the standardized weight Wx as the X user behavior parameter WxRWith the standardized weight Wy of Y application characteristic parameterR；
X user behavior parameter and its respective standardized weight Wx based on each applicationR, and Y applies feature
Parameter and its respective standardized weight WyR, the characteristic parameter each applied is estimated, is tied with obtaining the first estimation
Fruit.
A4. the method as described in A2, wherein the average user of the user behavior parameter including the application enliven number of days,
Average user uses duration, day any active ues par, all any active ues pars, and/or non-user's ratio on the one；Institute
State the average user access times for the function button for including the application using characteristic parameter, and/or average user use ratio.
A5. the method as described in A1, wherein carrying out estimation to each application includes：
Characteristic parameter is applied based on the X user behavior parameter and the Y, using DEA Method to each
The characteristic parameter of application is estimated, to obtain the second estimation result.
A6. the method as described in A3, wherein carrying out estimation to each application includes：
Characteristic parameter is applied based on the X user behavior parameter and the Y, using DEA Method to each
The characteristic parameter of application is estimated, to obtain the second estimation result.
A7. the method as described in A5 or A6, wherein the accumulation user that the user behavior parameter includes the application enlivens
Number of days, accumulation user use duration, day any active ues cumulative amount, all any active ues cumulative amounts, and/or the non-ratio of user on the one
Example；Accumulation user's access times of the function button for including the application using characteristic parameter, and/or accumulation user use
Ratio.
A8. the method as described in A6, further includes：Calculate the weighting of first estimation result and second estimation result
Average value, to obtain final estimation result.
A9. a kind of estimation device of the characteristic parameter of application, including：
Data acquisition module, suitable for obtaining the data of N number of application from server, wherein the data each applied include X
User behavior parameter and Y are applied characteristic parameter；And
Estimation block, suitable for applying characteristic parameter based on the X user behavior parameter and the Y, to each application
Characteristic parameter estimated.
A10. the device as described in A9, wherein the estimation block is suitable for：
Based on the data from N number of application acquired in server, each user behavior parameter of each application is calculated
Weight Wx and each weight Wy for applying characteristic parameter；
X user behavior parameter and its respective weight Wx based on each application, and Y application characteristic parameter and its
Respective weight Wy, estimates the characteristic parameter of each application, to obtain the first estimation result.
A11. the device as described in A10, wherein the estimation block is suitable for：
Determine the weight Wx and the Y maximum Wmax applied in the weight Wy of characteristic parameter of X user behavior parameter；
The weight Wx and the Y weight Wy using characteristic parameter of X user behavior parameter are calculated respectively relative to Wmax's
Ratio, the standardized weight Wx as the X user behavior parameter WxRWith the standardized weight Wy of Y application characteristic parameterR；
X user behavior parameter and its respective standardized weight Wx based on each applicationR, and Y applies feature
Parameter and its respective standardized weight WyR, the characteristic parameter each applied is estimated, is tied with obtaining the first estimation
Fruit.
A12. the device as described in A10, wherein the average user that the user behavior parameter includes the application enlivens day
Number, average user use duration, day any active ues par, all any active ues pars, and/or the non-ratio of user on the one
Example；The average user access times of the function button for including the application using characteristic parameter, and/or average user use
Ratio.
A13. the device as described in A9, wherein the evaluation module is suitable for being based on the X user behavior parameter and the Y
It is a to apply characteristic parameter, the characteristic parameter of each application is estimated using DEA Method, to obtain the second estimation
As a result.
A14. the device as described in A11, wherein the evaluation module is suitable for based on the X user behavior parameter and described
Y are applied characteristic parameter, and the characteristic parameter of each application is estimated using DEA Method, to obtain the second estimation
As a result.
A15. the device as described in A13 or A14, wherein the accumulation user that the user behavior parameter includes the application lives
Jump number of days, accumulation user use duration, day any active ues cumulative amount, all any active ues cumulative amounts, and/or non-user on the one
Ratio；Accumulation user's access times of the function button for including the application using characteristic parameter, and/or accumulation user make
Use ratio.
A16. the device as described in A14, the estimation block are further adapted for：
The weighted average of first estimation result and second estimation result is calculated, to obtain final estimation knot
Fruit.
Claims (16)
1. a kind of evaluation method of the characteristic parameter of application, including：
The data of N number of application are obtained from server, wherein the data each applied include X user behavior parameter and Y application
Characteristic parameter, the user that the user behavior parameter includes the application enlivens number of days, user uses duration, day active users
Amount, all any active ues quantity, and/or non-user's ratio on the one；The function button for including the application using characteristic parameter
User's access times, and/or user's use ratio；And
Characteristic parameter is applied based on the X user behavior parameter and the Y, the characteristic parameter of each application is estimated
Calculate.
2. the method as described in claim 1, wherein carrying out estimation to the characteristic parameter of each application includes：
Based on the data from N number of application acquired in server, the weight of each user behavior parameter of each application is calculated
Wx and each weight Wy for applying characteristic parameter；
X user behavior parameter and its respective weight Wx based on each application, and Y application characteristic parameter and its each
Weight Wy, the characteristic parameter of each application is estimated, to obtain the first estimation result.
3. method as claimed in claim 2, X user behavior parameter and its respective weight Wx based on each application, with
And Y applied characteristic parameter and its respective weight Wy, carrying out estimation to the characteristic parameter of each application includes：
Determine the weight Wx and the Y maximum Wmax applied in the weight Wy of characteristic parameter of X user behavior parameter；
The weight Wx of X user behavior parameter is calculated respectively and Y is applied the weight Wy of characteristic parameter relative to the ratio of Wmax,
Standardized weight Wx as the X user behavior parameter WxRWith the standardized weight Wy of Y application characteristic parameterR；
X user behavior parameter and its respective standardized weight Wx based on each applicationR, and Y application characteristic parameter and
Its respective standardized weight WyR, the characteristic parameter each applied is estimated, to obtain the first estimation result.
4. method as claimed in claim 2, wherein the average user that the user behavior parameter includes the application enlivens day
Number, average user use duration, day any active ues par, all any active ues pars, and/or the non-ratio of user on the one
Example；The average user access times of the function button for including the application using characteristic parameter, and/or average user use
Ratio.
5. the method as described in claim 1, wherein carrying out estimation to each application includes：
Characteristic parameter is applied based on the X user behavior parameter and the Y, using DEA Method to each application
Characteristic parameter estimated, to obtain the second estimation result.
6. method as claimed in claim 3, wherein carrying out estimation to each application includes：
Characteristic parameter is applied based on the X user behavior parameter and the Y, using DEA Method to each application
Characteristic parameter estimated, to obtain the second estimation result.
7. the method as described in claim 5 or 6, wherein the accumulation user that the user behavior parameter includes the application enlivens
Number of days, accumulation user use duration, day any active ues cumulative amount, all any active ues cumulative amounts, and/or the non-ratio of user on the one
Example；Accumulation user's access times of the function button for including the application using characteristic parameter, and/or accumulation user use
Ratio.
8. method as claimed in claim 6, further includes：
The weighted average of first estimation result and second estimation result is calculated, to obtain final estimation result.
9. a kind of estimation device of the characteristic parameter of application, including：
Data acquisition module, suitable for obtaining the data of N number of application from server, wherein the data each applied include X user
Behavioral parameters and Y apply characteristic parameter, and the user that the user behavior parameter includes the application enlivens number of days, user's use
Duration, day any active ues quantity, all any active ues quantity, and/or non-user's ratio on the one；The application characteristic parameter includes institute
State user's access times of the function button of application, and/or user's use ratio；And
Estimation block, suitable for applying characteristic parameter based on the X user behavior parameter and the Y, to the spy of each application
Sign parameter is estimated.
10. device as claimed in claim 9, wherein the estimation block is suitable for：
Based on the data from N number of application acquired in server, the weight of each user behavior parameter of each application is calculated
Wx and each weight Wy for applying characteristic parameter；
X user behavior parameter and its respective weight Wx based on each application, and Y application characteristic parameter and its each
Weight Wy, the characteristic parameter of each application is estimated, to obtain the first estimation result.
11. device as claimed in claim 10, wherein the estimation block is suitable for：
Determine the weight Wx and the Y maximum Wmax applied in the weight Wy of characteristic parameter of X user behavior parameter；
The weight Wx of X user behavior parameter is calculated respectively and Y is applied the weight Wy of characteristic parameter relative to the ratio of Wmax,
Standardized weight Wx as the X user behavior parameter WxRWith the standardized weight Wy of Y application characteristic parameterR；
X user behavior parameter and its respective standardized weight Wx based on each applicationR, and Y application characteristic parameter and
Its respective standardized weight WyR, the characteristic parameter each applied is estimated, to obtain the first estimation result.
12. device as claimed in claim 10, wherein the average user that the user behavior parameter includes the application is enlivened
Number of days, average user use duration, day any active ues par, all any active ues pars, and/or the non-ratio of user on the one
Example；The average user access times of the function button for including the application using characteristic parameter, and/or average user use
Ratio.
13. device as claimed in claim 9, wherein the estimation block is suitable for being based on the X user behavior parameter and institute
State Y and apply characteristic parameter, the characteristic parameter of each application is estimated using DEA Method, estimated with obtaining second
Calculate result.
14. device as claimed in claim 11, wherein the estimation block is suitable for being based on the X user behavior parameter and institute
State Y and apply characteristic parameter, the characteristic parameter of each application is estimated using DEA Method, estimated with obtaining second
Calculate result.
15. the device as described in claim 13 or 14, wherein the user behavior parameter includes the accumulation user of the application
Enliven number of days, accumulation user uses duration, day any active ues cumulative amount, all any active ues cumulative amounts, and/or non-use on the one
Family ratio；Accumulation user's access times of the function button for including the application using characteristic parameter, and/or accumulation user
Use ratio.
16. device as claimed in claim 14, the estimation block is further adapted for：
The weighted average of first estimation result and second estimation result is calculated, to obtain final estimation result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410729282.9A CN104391968B (en) | 2014-12-03 | 2014-12-03 | A kind of evaluation method and device of the characteristic parameter of application |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410729282.9A CN104391968B (en) | 2014-12-03 | 2014-12-03 | A kind of evaluation method and device of the characteristic parameter of application |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104391968A CN104391968A (en) | 2015-03-04 |
| CN104391968B true CN104391968B (en) | 2018-04-13 |
Family
ID=52609872
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410729282.9A Active CN104391968B (en) | 2014-12-03 | 2014-12-03 | A kind of evaluation method and device of the characteristic parameter of application |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104391968B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106162327B (en) * | 2015-04-10 | 2020-03-17 | 腾讯科技（北京）有限公司 | Video advertisement testing method and device |
| CN106572126B (en) * | 2015-10-08 | 2020-06-30 | 平安科技（深圳）有限公司 | Active equipment number calculation method and server |
| CN106600300B (en) * | 2015-10-14 | 2020-04-03 | 北京国双科技有限公司 | Method and device for analyzing user viscosity of application program |
| CN107451133B (en) * | 2016-05-30 | 2023-09-29 | 泰康之家（北京）投资有限公司 | Method and apparatus for evaluating overall feature status of an object |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103577328A (en) * | 2013-11-20 | 2014-02-12 | 北京奇虎科技有限公司 | Method and device for analyzing performance of application |
| CN104112003A (en) * | 2014-07-14 | 2014-10-22 | 广州华多网络科技有限公司 | Method and system for detecting performance of game terminals |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103049452B (en) * | 2011-10-14 | 2017-12-26 | 百度在线网络技术（北京）有限公司 | It is a kind of based on estimate download rate carry out using sequence method and apparatus |
| US8938719B2 (en) * | 2011-11-30 | 2015-01-20 | Tata Consultancy Services Limited | System and method for performance assurance of applications |
-
2014
- 2014-12-03 CN CN201410729282.9A patent/CN104391968B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103577328A (en) * | 2013-11-20 | 2014-02-12 | 北京奇虎科技有限公司 | Method and device for analyzing performance of application |
| CN104112003A (en) * | 2014-07-14 | 2014-10-22 | 广州华多网络科技有限公司 | Method and system for detecting performance of game terminals |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104391968A (en) | 2015-03-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104391968B (en) | A kind of evaluation method and device of the characteristic parameter of application | |
| Galli et al. | The impacts of risk on deploying and sustaining Lean Six Sigma initiatives | |
| Luo et al. | An alternative approach to confidence interval estimation for the win ratio statistic | |
| Rabosky et al. | Explosive evolutionary radiations: decreasing speciation or increasing extinction through time? | |
| Evans et al. | Tools for managing early-stage business model innovation | |
| CN108109011A (en) | A kind of anti-cheat method of advertisement and computing device | |
| CN110033156A (en) | A kind of determination method and device of business activity effect | |
| Mathur et al. | Factors influencing professionals’ decision for cloud computing adoption | |
| CN106815452A (en) | A kind of cheat detection method and device | |
| CN109309596A (en) | A kind of method for testing pressure, device and server | |
| Clegg et al. | Quality management and performance: a comparison between the UK and Turkey | |
| Alexandre et al. | Phylogenetic diversity and conservation priorities under distinct models of phenotypic evolution | |
| CN105740434B (en) | Network information methods of marking and device | |
| Mahajan et al. | Domestic market competitiveness of Indian drug and pharmaceutical industry | |
| CN106257507A (en) | The methods of risk assessment of user behavior and device | |
| Giblin et al. | Enhancing cosmic shear with the multiscale lensing probability density function | |
| JP2012221020A (en) | Cost simulation device | |
| Huijgens et al. | An exploratory study on the effects of perceived value and stakeholder satisfaction on software projects | |
| CN111126614B (en) | Attribution method, attribution device and storage medium | |
| Arul et al. | Load testing for query based e-commerce web applications with cloud performance Testing Tools | |
| Rico | Practical metrics and models for return on investment | |
| CN110008100A (en) | Method and device for web page access amount abnormality detection | |
| CN109409743A (en) | A kind of appraisal procedure of target area and calculate equipment | |
| Herrera et al. | Ieee's humanitarian open source | |
| Christ | Mixed effects models and extensions in ecology with R |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220718 Address after: Room 801, 8th floor, No. 104, floors 1-19, building 2, yard 6, Jiuxianqiao Road, Chaoyang District, Beijing 100015 Patentee after: BEIJING QIHOO TECHNOLOGY Co.,Ltd. Address before: 100088 room 112, block D, 28 new street, new street, Xicheng District, Beijing (Desheng Park) Patentee before: BEIJING QIHOO TECHNOLOGY Co.,Ltd. Patentee before: Qizhi software (Beijing) Co.,Ltd. |