CN107292465A - User's evaluation method, device and equipment - Google Patents
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Abstract
The application is related to a kind of user's evaluation method, device and equipment.Wherein, user's evaluation method includes：Obtain the historical game play behavioural information of game user；Obtain the consumption information and/or network social intercourse information of the game user；Based on default evaluating deg model, according to the game behavioural information and consumption information and/or network social intercourse information of acquisition, the game user is evaluated in each described evaluating deg；According to the weight of each evaluating deg, the play value of the game user is determined.Data processed result of the present invention is more comprehensive, more objective, more accurate, using the teaching of the invention it is possible to provide the foundation more commercially valuable to network game development person, so that the person that helps network game development lifts the precision of product release, improves effectiveness of operation.
Description
Technical field
The present invention relates to computer realm, more particularly to a kind of user's evaluation method, device and equipment.
Background technology
Current era is a cybertimes, every field, the various aspects, network lived in people
It is ubiquitous.The life that network gives people brings change, at the same time, has also expedited the emergence of out many new
Emerging industry.
Online game industry is exactly one of product of cybertimes.Online game has become today's society
Upper a kind of main entertainment way, particularly for working clan.In order to find potential game player
(hereinafter also referred to game user), promotes online game, and network game development person is needed to user's
Play value is evaluated.Here, the play value of user is directed to the valency that user promotes online game
Value.The play value of user is higher, and the value for promoting online game to user is higher.Play value
The possibility that higher user receives the online game promoted is bigger.Therefore, the play value of user is commented
Valency fraction has great commercial value for network game development person.
In correlation technique, by game user certain money game inside consumption and behavior situation come
Evaluate the play value of user.The consumption and behavior situation that this foundation user plays in single product are evaluated
The mode of user's play value is obviously not objective enough.Such as, user is in a single product game internal consumption
Seldom, still, the user consumes much in the similar game of another money.Obviously, this user is
The higher user of individual play value, but can be because of this but obtain the network game development person seldom consumed
The seldom situation of consumption of the user inside its single product game assert that the play value of the user is low, this
Sample, network game development person will lose a very promising popularization pair because of one sided evaluate
As.In fact, such user is largely present, net can be given to the not objective evaluation of these users
Network game developer causes very big loss.
The content of the invention
It is an object of the invention to provide a kind of user's evaluation method, device and equipment, data can be made
Result is more accurate, is favorably improved businessman's effectiveness of operation.
To achieve the above object, the present invention proposes a kind of user's evaluation method, including：
Obtain the historical game play behavioural information of game user；
Obtain the consumption information and/or network social intercourse information of the game user；
Based on default evaluating deg model, believed according to the game behavioural information of acquisition and consumption
Breath and/or network social intercourse information, are evaluated in each described evaluating deg the game user；
According to the weight of each evaluating deg, the play value of the game user is determined.
Further, the above method can also have the characteristics that, the game behavioural information includes described
Game amount of money that game user is used, the usage cycles played per money, the week played per money actively number,
The opening frequency that the moon played per money, actively number, the game user were played to every money, the consumption letter
Breath includes game and the game related consumer information of the game user.
Further, the above method can also have the characteristics that, described to be based on default evaluating deg model,
According to the game behavioural information and consumption information and/or network social intercourse information of acquisition, to described
Game user is evaluated in each described evaluating deg, including：
Obtain game amount of money, the trip per money that default loyalty computation model uses for the game user
The moon that the usage cycles of play, the week played per money, actively number, every money were played, actively number, the game were used
The opening frequency, the game of the game user and the game related consumer information that family is played to every money are set
Weight；
The loyalty score value of the game user is calculated using the loyalty computation model.
Further, the above method can also have the characteristics that, the network social intercourse information includes described
The microblogging bean vermicelli quantity of game user, microblogging are mutually paid close attention to number, microblogging and posted the frequency.
Further, the above method can also have the characteristics that, described to be based on default evaluating deg model,
According to the game behavioural information and consumption information and/or network social intercourse information of acquisition, to described
Game user is evaluated in each described evaluating deg, including：
Obtain default influence power computation model for the microblogging bean vermicelli quantity, microblogging mutually pay close attention to number,
Microblogging post the frequency setting weight；
The influence power score value of the game user is calculated using the influence power computation model.
Further, the above method can also have the characteristics that, the consumption information includes the game
The synthesis consumption information of user and related consumer information of playing and play.
Further, the above method can also have the characteristics that, described to be based on default evaluating deg model,
According to the game behavioural information and consumption information and/or network social intercourse information of acquisition, to described
Game user is evaluated in each described evaluating deg, including：
Default consumptive power computation model is obtained for the comprehensive consumption information and the game and game
The weight that related consumer information is set；
The consumptive power score value of the game user is calculated using the consumptive power computation model.
User's evaluation method of the embodiment of the present invention, game behavioural information, consumption according to game user
The comprehensive information such as information and network social intercourse information is evaluated the play value of user, data processing knot
Fruit is more comprehensive, more objective, more accurate, using the teaching of the invention it is possible to provide more have business to network game development person
The foundation of value, so that the person that helps network game development lifts the precision of product release, improves and manages
Benefit.
To achieve the above object, the invention also provides a kind of user's evaluating apparatus, including：
First acquisition module, the historical game play behavioural information for obtaining game user；
Second acquisition module, consumption information and/or network social intercourse letter for obtaining the game user
Breath；
Evaluation module, for based on default evaluating deg model, being believed according to the game behavior of acquisition
Breath and consumption information and/or network social intercourse information, to the game user in each evaluating deg
Evaluated；
Determining module, for the weight according to each evaluating deg, determines the game valency of the game user
Value.
Further, said apparatus can also have the characteristics that, the game behavioural information includes described
Game amount of money that game user is used, the usage cycles played per money, the week played per money actively number,
The opening frequency that the moon played per money, actively number, the game user were played to every money, the consumption letter
Breath includes game and the game related consumer information of the game user.
Further, said apparatus can also have the characteristics that, the evaluation module includes：
First Weight Acquisition unit, the first Weight Acquisition unit is used to obtain default loyalty calculating mould
Type is the game user game amount of money used, the usage cycles played per money, the week of every money game
The opening frequency that active number, the moon played per money, actively number, the game user were played to every money, institute
The weight that the game and game related consumer information for stating game user are set；
First computing unit, the loyalty for calculating the game user using the loyalty computation model
Really spend score value.
Further, said apparatus can also have the characteristics that, the network social intercourse information includes described
The microblogging bean vermicelli quantity of game user, microblogging are mutually paid close attention to number, microblogging and posted the frequency.
Further, said apparatus can also have the characteristics that, the evaluation module includes：
Second Weight Acquisition unit, the second Weight Acquisition unit is used to obtain default influence power calculating mould
Type is that the microblogging bean vermicelli quantity, microblogging are mutually paid close attention to number, microblogging and posted the weight of frequency setting；
Second computing unit, the shadow for calculating the game user using the influence power computation model
Ring power score value.
Further, said apparatus can also have the characteristics that, the consumption information includes the game
The synthesis consumption information of user and related consumer information of playing and play.
Further, said apparatus can also have the characteristics that, the evaluation module includes：
3rd Weight Acquisition unit, the 3rd Weight Acquisition unit is used to obtain default consumptive power calculating mould
Type is the weight that the comprehensive consumption information and the game and game related consumer information are set；
3rd computing unit, for calculating disappearing for the game user using the consumptive power computation model
Laborious score value.
User's evaluating apparatus of the embodiment of the present invention, game behavioural information, consumption according to game user
The comprehensive information such as information and network social intercourse information is evaluated the play value of user, data processing knot
Fruit is more comprehensive, more objective, more accurate, using the teaching of the invention it is possible to provide more have business to network game development person
The foundation of value, so that the person that helps network game development lifts the precision of product release, improves and manages
Benefit.
To achieve the above object, the invention also provides a kind of user's valuator device, including it is foregoing any
User's evaluating apparatus described in.
Further, the said equipment can also have the characteristics that, user's valuator device is computer
Or server.
User's valuator device of the embodiment of the present invention, game behavioural information, consumption according to game user
The comprehensive information such as information and network social intercourse information is evaluated the play value of user, data processing knot
Fruit is more comprehensive, more objective, more accurate, using the teaching of the invention it is possible to provide more have business to network game development person
The foundation of value, so that the person that helps network game development lifts the precision of product release, improves and manages
Benefit.
Brief description of the drawings
Fig. 1 is the flow chart of user's evaluation method in the embodiment of the present invention one.
Fig. 2 is the structured flowchart of user's evaluating apparatus in the embodiment of the present invention two.
Fig. 3 is the structured flowchart of user's valuator device in the embodiment of the present invention three.
Embodiment
The principle and feature of the present invention are described below in conjunction with accompanying drawing, illustrated embodiment is served only for solution
The present invention is released, the scope of the present invention is not intended to limit.For those of ordinary skill in the art,
On the premise of not paying creative work, all embodiments obtained according to spirit of the invention, all
Belong to protection scope of the present invention.
Fig. 1 is the flow chart of user's evaluation method in the embodiment of the present invention one.As shown in figure 1, this reality
Apply in example, user's evaluation method may include steps of：
Step S101, obtains the historical game play behavioural information of game user；
Wherein, historical game play behavioural information refers to the game behavioural information of past setting time section.Example
Such as, setting time section can be in past one month, in three months, in half a year etc..
Wherein, game behavioural information can include game amount of money, the game per money that game user is used
Usage cycles, the week of every money game are actively actively counted number, the moon played per money, game user is to every money
Opening frequency of game etc..
Here illustrating, the week played to every money, actively number and the implication actively counted the moon were illustrated.
All active numbers：Assuming that the number of times that the game of certain money is logged in user one week is m, log in every time
The line time is t (minute), sets three threshold value T1, T2, T3, T1 ＜ T2 ＜ T3, if 0 ＜ t
＜ T1, then each active number (referred to as time active number) n=n1；If T1≤t ＜ T2, n=n2；
If T2≤t ＜ T3, n=n3；If t >=T3, n=n4, n1 ＜ n2 ＜ n3 ＜ n4.This
Actively count time actively several sums equal to m times the week of game.For example, T1, T2, T3 are respectively equal to
10th, 30,60, n1, n2, n3, n4 are respectively equal to 0.5,1,1.5,2, if then 0 ＜ t ＜ 10,
It is secondary actively to count n=0.5；If then 10≤t ＜ 30, n=1；If 30≤t ＜ 60, n=1.5；If t
>=60, n=2.
The principle same week that the moon is actively counted, here is omitted actively number.
Step S102, obtains the consumption information and/or network social intercourse information of game user；
Wherein, consumption information can include synthesis consumption information, the game of game user of game user
And game related consumer information etc..The synthesis consumption information of game user refers to that game user is set described
The consumption online sum fixed time in section.The game of game user and game related consumer information refer to trip
Play consumption of the user in game and the consumption in peripheral game.Wherein, in the consumption of peripheral game
Refer to the consumption produced based on game.By taking game " World of Warcraft " as an example, buy " World of Warcraft "
Role, hand do (doll)/toy, the purchase T-shirt related with game " World of Warcraft " is purchased
Buy to game " World of Warcraft " related books, buy to " World of Warcraft " related ornaments of playing,
Cup, key chain, lighter etc., belong to the periphery consumption of game " World of Warcraft ".
Wherein, network social intercourse information can include the microblogging bean vermicelli quantity of game user, microblogging and mutually close
Note number, microblogging are posted frequency etc..Network social intercourse information can also be and wechat, community website, game
The related information of platform.
Game behavioural information, consumption information and the network social intercourse information of acquisition are all as evaluation user's game
The foundation of value, can so cause the evaluation to the play value of user it is more comprehensive, more objective,
It is more accurate.
Step S103, based on default evaluating deg model, according to the game behavioural information of acquisition and
Consumption information and/or network social intercourse information, are evaluated in each evaluating deg game user；
Evaluating deg computation model can rationally be determined according to actual conditions.For example, in the embodiment of the present invention
In, three evaluating degs, i.e. loyalty, influence power, consumptive power can be designed.Wherein, loyalty can
For weighing the degree that game user is keen to online game.Influence power can be used for weighing game use
Appeal and influence degree of the family in terms of online game for other users.Consumptive power can be used for weighing apparatus
Measure consuming capacity of the game user in online game.Certainly, in other embodiments of the present invention, may be used
To design other evaluating deg models as needed, these evaluating deg models are required to utilize acquisition
Game behavioural information, consumption information and network social intercourse information are objective to game user progress, accurately comment
Valency.
Step S104, according to the weight of each evaluating deg, determines the play value of game user.
In embodiments of the present invention, each evaluating deg weighs factor as the one side of play value point,
Each comprehensive evaluating deg, and different weights are set for each evaluating deg according to actual needs, so that game
Value point is more objective, reflect the play value of user exactly.
Play value is to be handled to obtain according to the combined influence of each evaluating deg, and each evaluating deg
Calculation basis is the game behavioural information, consumption information and network social intercourse information of game user, therefore,
The play value of user can be reflected more comprehensive, objective, exactly.
Wherein, play value can be equal to the cumulative of each evaluating deg and respective weights product and.
In embodiments of the present invention, game behavioural information can include the game money that game user is used
Actively actively count number, the moon played per money in the week that number, the usage cycles played per money, every money are played,
The opening frequency that game user is played to every money, consumption information includes game and the game phase of game user
Close consumption information.
In embodiments of the present invention, foregoing step S103 can include：Obtain default loyalty
Computation model is the game user game amount of money used, the usage cycles played per money, the trip per money
The week of play actively number, per money play the moon actively number, game user every money is played the opening frequency,
The weight that the game of game user and game related consumer information are set；Utilize loyalty computation model meter
The loyalty score value of game user is calculated, wherein, loyalty score value can be equal to the trip that game user is used
The moon for actively counting in week, being played per money that play amount of money, the usage cycles played per money, every money are played is active
The opening frequency, the game of game user and game related consumer letter that number, game user are played to every money
The cumulative sum of breath each with the product of its weight.
In embodiments of the present invention, network social intercourse information can include the microblogging bean vermicelli number of game user
Amount, microblogging are mutually paid close attention to number, microblogging and posted the frequency.
In embodiments of the present invention, foregoing step S103 can include：Obtain default influence power
Computation model is that the microblogging bean vermicelli quantity, microblogging are mutually paid close attention to number, microblogging and posted the power of frequency setting
Weight；The influence power score value of game user is calculated using influence power computation model, wherein, influence power score value
The microblogging bean vermicelli quantity of game user, microblogging can be equal to mutually to pay close attention to number, microblogging and post the frequency each
With the cumulative sum of the product of its weight.
In embodiments of the present invention, consumption information can include synthesis consumption information and the trip of game user
Play and game related consumer information.
In embodiments of the present invention, foregoing step S103 can include：Obtain default consumptive power
The weight that computation model is comprehensive consumption information and related consumer information of playing and play is set；Using disappearing
Laborious computation model calculates the consumptive power score value of game user, wherein, consumptive power score value can be equal to comprehensive
Close consumption information and the game and game related consumer information is each cumulative with the product of its weight
Sum.
The calculating process of game points is exemplified below：
Assuming that having got the data needed for calculating.
(1) loyalty score value S is calculated:
S1 is equal to game user A simultaneously using the number of game.Assuming that user A plays 3 sections of hands simultaneously
Trip, then s1=3.
S2 is equal to the usage cycles played per money (data are dynamic).If a player is 180
Game is not logged in it, then it is assumed that some end cycle of this player for such game.But
Total cycle is not over：Such as player is from 2013-1-1 (representing on January 1st, 2013) days to 2014-1-1
Day uses, and last time use time is：It is 2014-1-1 days, then again heavy on 2015-5-5
It is new to play to so far, then such game for this player, the cycle be exactly from 2013-1-1 days to
2014-1-1 adds 2015-5-5 so far, using the moon as unit of account.
S2=12+9=21 (moon)
S3=weeks active number：180
The S4=months actively count：500
Then S=S1*S1 weight coefficients+S2*S2 weight coefficient+S3*S3 weight coefficients+
S4*S4 weight coefficients, wherein, symbol " * " is multiplication operator, is represented " being multiplied by ".
By calculating loyalty score value S.
(2) influence power score value Y is calculated
Y1:The bean vermicelli quantity of microblogging, such as 200000；
Y2:Microblogging mutually pays close attention to number, such as 30000；
Y3:Microblogging is posted the frequency, for example:Post within one month 20 times (moon is unit)；
Y=Y1*Y1 weight coefficient+Y2*Y2 weight coefficient+Y3*Y3 weight coefficients.
(3) consumptive power score value X is calculated
Transaction data in all consumer records of X1=game adds up, such as 1000 yuan；
The transaction of X2=peripheral game consumer records adds up, such as 2000 yuan；
X=x1*x1 weight coefficient+x2*x2 weight coefficients.
The weight coefficient of each data is dynamic configuration above.
Finally calculate play value point, play value point=loyalty score value S*S weight coefficients+influence
Power score value Y*Y weight coefficients+consumptive power score value X*X weight coefficients.
User's evaluation method of the embodiment of the present invention, game behavioural information, consumption according to game user
The comprehensive information such as information and network social intercourse information is evaluated the play value of user, data processing knot
Fruit is more comprehensive, more objective, more accurate, using the teaching of the invention it is possible to provide more have business to network game development person
The foundation of value, so that the person that helps network game development lifts the precision of product release, improves and manages
Benefit.
Fig. 2 is the structured flowchart of user's evaluating apparatus in the embodiment of the present invention two.User in Fig. 2 comments
Valency device can be used for implementing user's evaluation method in present invention.The present invention is foregoing to be used
Principle in the evaluation method embodiment of family illustrates to be also applied for following user's evaluating apparatus.
As shown in Fig. 2 in the present embodiment, user's evaluating apparatus 200 can include the first acquisition module
210th, the second acquisition module 220, evaluation module 230 and determining module 240.First acquisition module 210,
Second acquisition module 220, evaluation module 230 and determining module 240 can be sequentially connected.
Wherein, the first acquisition module 210 is used for the historical game play behavioural information for obtaining game user.The
Two acquisition modules 220 are used for the consumption information and/or network social intercourse information for obtaining game user.Evaluate mould
Block 230 is used to be based on default evaluating deg model, according to the game behavioural information of acquisition and consumption
Information and/or network social intercourse information, are evaluated in each described evaluating deg game user.Determine mould
Block 240 is used for the weight according to each evaluating deg, determines the play value of game user.
Wherein, play value can be equal to the cumulative of each evaluating deg and respective weights product and.
In embodiments of the present invention, evaluation module 230 can include the first connected Weight Acquisition unit
With the first computing unit.Game behavioural information can include game amount of money, the every money that game user is used
The usage cycles of game, the week of every money game are actively actively counted number, the moon played per money, game user
The opening frequency played to every money, consumption information includes game and the game related consumer letter of game user
Breath.First Weight Acquisition unit is used to obtain what default loyalty computation model used for game user
The moon work for actively counting in week, being played per money that game amount of money, the usage cycles played per money, every money are played
The opening frequency, the game of game user and game related consumer that jump number, game user are played to every money
The weight that information is set；First computing unit is used to calculate game user using loyalty computation model
Loyalty score value.Wherein, loyalty score value can be equal to game amount of money, the every money that game user is used
The usage cycles of game, the week of every money game are actively actively counted number, the moon played per money, game user
The opening frequency, the game of game user and the game related consumer information played to every money are each weighed with it
The cumulative sum of the product of weight.
In embodiments of the present invention, evaluation module 230 can also include the second connected Weight Acquisition list
Member and the second computing unit.Network social intercourse information can include the microblogging bean vermicelli quantity, micro- of game user
Rich mutually concern number, microblogging are posted the frequency.Second Weight Acquisition unit is used to obtain default influence power
Computation model is that the microblogging bean vermicelli quantity, microblogging are mutually paid close attention to number, microblogging and posted the power of frequency setting
Weight；Second computing unit is used for the influence power score value that game user is calculated using influence power computation model,
Wherein, influence power score value can be equal to the microblogging bean vermicelli quantity of game user, microblogging mutually pay close attention to number,
Microblogging is posted cumulative sum of the frequency each with the product of its weight.
In embodiments of the present invention, evaluation module 230 can also include the 3rd connected Weight Acquisition list
Member and the 3rd computing unit.Consumption information can include game user synthesis consumption information and game and
Game related consumer information.3rd Weight Acquisition unit is used to obtain default consumptive power computation model
The weight that comprehensive consumption information and related consumer information of playing and play are set；3rd computing unit is used for
The consumptive power score value of game user is calculated using consumptive power computation model, wherein, consumptive power score value can be with
It is each tired with the product of its weight equal to comprehensive consumption information and game and game related consumer information
In addition and.
User's evaluating apparatus of the embodiment of the present invention, game behavioural information, consumption according to game user
The comprehensive information such as information and network social intercourse information is evaluated the play value of user, data processing knot
Fruit is more comprehensive, more objective, more accurate, using the teaching of the invention it is possible to provide more have business to network game development person
The foundation of value, so that the person that helps network game development lifts the precision of product release, improves and manages
Benefit.
Fig. 3 is the structured flowchart of user's valuator device in the embodiment of the present invention three.As shown in figure 3, this
In embodiment, user's evaluating apparatus 200 can be included in user's valuator device 300.
Wherein, user's evaluating apparatus 200 can be used for the historical game play behavioural information for obtaining game user；
Obtain the consumption information and/or network social intercourse information of game user；Based on default evaluating deg model, root
According to the game behavioural information and consumption information and/or network social intercourse information of acquisition, game user is existed
Each described evaluating deg is evaluated；According to the weight of each evaluating deg, the game of game user is determined
Value.
Wherein, user's valuator device 300 can be computer, server etc..
User's valuator device of the embodiment of the present invention includes user's evaluating apparatus, according to game user
The comprehensive informations such as game behavioural information, consumption information and network social intercourse information enter to the play value of user
Row is evaluated, and data processed result is more comprehensive, more objective, more accurate, using the teaching of the invention it is possible to provide to network
The more commercially valuable foundation of game developer, so as to help network game development, person lifts product release
Precision, improve effectiveness of operation.
Presently preferred embodiments of the present invention is the foregoing is only, is not intended to limit the invention, it is all in this hair
Within bright spirit and principle, any modification, equivalent substitution and improvements made etc. should be included in
Within protection scope of the present invention.
Claims (16)
1. a kind of user's evaluation method, it is characterised in that including：
Obtain the historical game play behavioural information of game user；
Obtain the consumption information and/or network social intercourse information of the game user；
Based on default evaluating deg model, believed according to the game behavioural information of acquisition and consumption
Breath and/or network social intercourse information, are evaluated in each described evaluating deg the game user；
According to the weight of each evaluating deg, the play value of the game user is determined.
2. user's evaluation method according to claim 1, it is characterised in that the game row
Include game amount of money, the usage cycles of game, the trip per money per money that the game user is used for information
The opening frequency that the moon that the week of play, actively number, every money were played, actively number, the game user were played to every money
Secondary, the consumption information includes game and the game related consumer information of the game user.
3. user's evaluation method according to claim 2, it is characterised in that described based on pre-
If evaluating deg model, according to the game behavioural information and consumption information and/or network of acquisition
Social information, is evaluated in each described evaluating deg the game user, including：
It is the game that game user game user game user, which obtains default loyalty computation model,
Game amount of money that user uses, the usage cycles played per money, the week played per money actively number, per money
The opening frequency that the moon of game, actively number, the game user were played to every money, the game user
The weight that game and game related consumer information are set；
The loyalty score value of the game user is calculated using the loyalty computation model.
4. user's evaluation method according to claim 1, it is characterised in that the network society
Microblogging bean vermicelli quantity of the information including the game user, microblogging is handed over mutually to pay close attention to number, microblogging and post frequently
It is secondary.
5. user's evaluation method according to claim 4, it is characterised in that described based on pre-
If evaluating deg model, according to the game behavioural information and consumption information and/or network of acquisition
Social information, is evaluated in each described evaluating deg the game user, including：
Obtain default influence power computation model for the microblogging bean vermicelli quantity, microblogging mutually pay close attention to number,
Microblogging post the frequency setting weight；
The influence power score value of the game user is calculated using the influence power computation model.
6. user's evaluation method according to claim 1, it is characterised in that the consumption letter
Breath includes the synthesis consumption information of the game user and played and game related consumer information.
7. user's evaluation method according to claim 6, it is characterised in that described based on pre-
If evaluating deg model, according to the game behavioural information and consumption information and/or network of acquisition
Social information, is evaluated in each described evaluating deg the game user, including：
Default consumptive power computation model is obtained for the comprehensive consumption information and the game and game
The weight that related consumer information is set；
The consumptive power score value of the game user is calculated using the consumptive power computation model.
8. a kind of user's evaluating apparatus, it is characterised in that including：
First acquisition module, the historical game play behavioural information for obtaining game user；
Second acquisition module, consumption information and/or network social intercourse letter for obtaining the game user
Breath；
Evaluation module, for based on default evaluating deg model, being believed according to the game behavior of acquisition
Breath and consumption information and/or network social intercourse information, to the game user in each evaluating deg
Evaluated；
Determining module, for the weight according to each evaluating deg, determines the game valency of the game user
Value.
9. user's evaluating apparatus according to claim 8, it is characterised in that the game row
Include game amount of money, the usage cycles of game, the trip per money per money that the game user is used for information
The opening frequency that the moon that the week of play, actively number, every money were played, actively number, the game user were played to every money
Secondary, the consumption information includes game and the game related consumer information of the game user.
10. user's evaluating apparatus according to claim 9, it is characterised in that the evaluation mould
Block includes：
First Weight Acquisition unit, for obtaining default loyalty computation model for the game user
Week actively number, the game per money that the game amount of money used, the usage cycles played per money, every money are played
The moon actively number, the opening frequency that the game user is played to every money, the game of the game user
And the weight that game related consumer information is set；
First computing unit, the loyalty for calculating the game user using the loyalty computation model
Really spend score value.
11. user's evaluating apparatus according to claim 8, it is characterised in that the network society
Microblogging bean vermicelli quantity of the information including the game user, microblogging is handed over mutually to pay close attention to number, microblogging and post frequently
It is secondary.
12. user's evaluating apparatus according to claim 11, it is characterised in that the evaluation
Module includes：
Second Weight Acquisition unit, for obtaining default influence power computation model for the microblogging bean vermicelli
Quantity, microblogging mutually pay close attention to number, microblogging post the frequency setting weight；
Second computing unit, the shadow for calculating the game user using the influence power computation model
Ring power score value.
13. user's evaluating apparatus according to claim 8, it is characterised in that the consumption letter
Breath includes the synthesis consumption information of the game user and played and game related consumer information.
14. user's evaluating apparatus according to claim 13, it is characterised in that the evaluation
Module includes：
3rd Weight Acquisition unit, is the comprehensive consumption for obtaining default consumptive power computation model
The weight that information and the game and game related consumer information are set；
3rd computing unit, for calculating disappearing for the game user using the consumptive power computation model
Laborious score value.
15. a kind of user's valuator device, it is characterised in that including any one of claim 8 to 14
Described user's evaluating apparatus.
16. user's valuator device according to claim 15, it is characterised in that the user
Valuator device is computer or server.
Priority Applications (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610196721.3A CN107292465A (en) | 2016-03-31 | 2016-03-31 | User's evaluation method, device and equipment |
| TW106105971A TW201737177A (en) | 2016-03-31 | 2017-02-22 | User evaluation method, device, and apparatus |
| PCT/CN2017/077901 WO2017167115A1 (en) | 2016-03-31 | 2017-03-23 | User evaluation method, device, and apparatus |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610196721.3A CN107292465A (en) | 2016-03-31 | 2016-03-31 | User's evaluation method, device and equipment |
Publications (1)
| Publication Number | Publication Date |
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| CN107292465A true CN107292465A (en) | 2017-10-24 |
Family
ID=59963492
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610196721.3A Pending CN107292465A (en) | 2016-03-31 | 2016-03-31 | User's evaluation method, device and equipment |
Country Status (3)
| Country | Link |
|---|---|
| CN (1) | CN107292465A (en) |
| TW (1) | TW201737177A (en) |
| WO (1) | WO2017167115A1 (en) |
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| CN113407827A (en) * | 2021-06-11 | 2021-09-17 | 广州三七极创网络科技有限公司 | Information recommendation method, device, equipment and medium based on user value classification |
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| CN116452313B (en) * | 2023-06-14 | 2023-09-19 | 平安银行股份有限公司 | Method and device for calculating customer value in bank game customer group and electronic equipment |
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Also Published As
| Publication number | Publication date |
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| TW201737177A (en) | 2017-10-16 |
| WO2017167115A1 (en) | 2017-10-05 |
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