CN109377025A - Measurement method, device, the computer equipment of user experience quantitative evaluation value - Google Patents
Measurement method, device, the computer equipment of user experience quantitative evaluation value Download PDFInfo
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Abstract
This application involves measurement method, device, the computer equipments of a kind of user experience quantitative evaluation value.The described method includes: obtaining the back-end data and user experience quantitative appraisement model middle finger target subjectivity weighted value of gaming platform；Wherein, the user experience quantitative appraisement model is to be constructed on gaming platform according to selected multiple indexs；It obtains index preset value and the objective weight value of the index is calculated according to the subjective weighted value and the index preset value of the back-end data, the index；Total weighted value that the gaming platform is calculated according to the objective weight value of the index, using total weighted value as the user experience quantitative evaluation value of the gaming platform.The user experience quantitative evaluation value for assessing user experience quantization situation measured can be made more acurrate using this method.
Description
Technical field
This application involves Internet technical field, more particularly to a kind of user experience quantitative evaluation value measurement method,
Device, computer equipment and storage medium.
Background technique
With the development of internet technology, game industry increasingly grows, and people disappear often through the mode for playing game
It sends.In traditional technology, the operator of game industry understands the traffic-operating period of itself product often through the mode of investigation, however
It is only the investigation for carrying out basis to user, the result of investigation is added up measurement user experience quantitative evaluation value, further according to
User experience quantitative evaluation value assesses experience situation of the user on gaming platform.However, the user experience assessment of inaccuracy
Value can not allow operator accurately to assess experience situation of the user on the gaming platform, so that the fortune of gaming platform cannot allow
Battalion quotient improves according to the true experience situation of user.
Summary of the invention
Based on this, it is necessary to which in view of the above technical problems, user's body on gaming platform can accurately be measured by providing one kind
Measurement method, device, computer equipment and the storage medium of the user experience quantitative evaluation value for the quantization situation tested.
A kind of measurement method of user experience quantitative evaluation value, which comprises
Obtain the back-end data and user experience quantitative appraisement model middle finger target subjectivity weighted value of gaming platform；Its
In, the user experience quantitative appraisement model is to be constructed on gaming platform according to selected multiple indexs；
Index preset value is obtained, according to the subjective weighted value and the index preset value of the back-end data, the index,
Calculate the objective weight value of the index；
Total weighted value that the gaming platform is calculated according to the objective weight value of the index, using total weighted value as
The user experience quantitative evaluation value of the gaming platform.
In one of the embodiments, further include: the user experience quantitative appraisement model includes:
Three index levels, three indicator layer grades are divided into first class index level, two-level index level and three-level index
Level；
The first class index level includes: the first quantity first class index；
The two-level index level includes: the second quantity two-level index；
The three-level index level includes: third quantity three-level index；
At least one first class index has several two-level index in the first quantity first class index；
At least one two-level index has several three-level indexs in the second quantity two-level index.
The first quantity first class index includes: user feeling, user's conversion, user in one of the embodiments,
Quality, key task, user's retention, value of the product；
The two-level index of the user feeling includes: satisfaction, sharing rate；
The two-level index of user's conversion includes: registration rate, new user's growth rate, day online user number, accesses for the first time
Supplement rate, accumulative game duration with money；
The two-level index of the user quality includes: averagely each access duration, payment data, active users, game
The frequency；
The two-level index of the key task includes: business boot flow conversion ratio, payment conversion ratio；
The two-level index that the user retains includes: to log in retention ratio, the retention ratio that Adds User, day reflux ratio；
The two-level index of the value of the product includes: amount received, day every user's average earnings amount of money, new account contribution receipts
Beneficial volume；
The three-level index of the payment data includes: a day recharge amount, day payment permeability, for the first time payment amount, payment
Number of users, supplements rate, Zhou Denglu frequency with money at payment number again；
The three-level index of the active users include: a day active users, all active users, moon active users,
User's participation, the wherein ratio of user's participation in a few days active users and moon active users；
The three-level index of the game frequency include: per capita fight total degree, moon game number of days, the moon per capita game number,
The frequency is supplemented in all game with money；
The three-level index of the payment conversion ratio includes: to supplementing conversion ratio, first day payment conversion ratio, overall payment with money after the war
Rate.
The acquisition index preset value in one of the embodiments, according to the back-end data, the subjectivity of the index
Weighted value and the index preset value, the step of calculating the objective weight value of the index include:
When the two-level index has corresponding three-level index, the three-level index preset value of the three-level index is obtained；
According to the three-level index preset value, the corresponding back-end data of the three-level index and the three-level index
Subjective weighted value calculates the objective weight value of the corresponding three-level index；
The objective weight value of the two-level index is the sum of the objective weight value of the corresponding three-level index.
The acquisition index preset value in one of the embodiments, according to the back-end data, the subjectivity of the index
Weighted value and the index preset value, the step of calculating the objective weight value of the index include:
When the two-level index is without corresponding three-level index, the two-level index preset value of the two-level index is obtained；
According to the two-level index preset value, the corresponding back-end data of the two-level index and the two-level index
Subjective weighted value calculates the objective weight value of the corresponding two-level index.
In one of the embodiments, the method also includes:
The objective weight value of the first class index is the objective weight value of the corresponding two-level index of the first class index
The sum of；
Total weighted value is the sum of the objective weight value of the first class index.
The back-end data includes in one of the embodiments: the operation data of the gaming platform and the game
The investigational data of platform；
The index includes: objective indicator and subjective index；Wherein, the objective indicator is for reflecting the operation number
According to the subjective index is for reflecting the investigational data；
According to the subjective weighted value of the operation data and the objective indicator, the objective weight of the objective indicator is calculated
Value；
According to the subjective weighted value of the investigational data and the subjective index, the objective weight of the subjective index is calculated
Value.
A kind of measuring device of user experience quantitative evaluation value, described device include:
Platform data obtains module, for obtaining the back-end data of gaming platform, in user experience quantitative appraisement model
The subjective weighted value and index preset value of index；
Objective weight value computing module, for being commented according to the back-end data of the gaming platform got, user experience quantization
Estimate the subjective weighted value and index preset value of the index in model, the objective weight value of parameter；
Total weight value calculation module calculates total weighted value of gaming platform for the objective weight value according to index.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, the processor realize the measurement side of the user experience quantitative evaluation value when executing the computer program
Method.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
The measurement method of the user experience quantitative evaluation value is realized when row.
Measurement method, device, computer equipment and the storage medium of above-mentioned user experience quantitative evaluation value are swum by obtaining
The back-end data and user experience quantitative appraisement model middle finger target subjectivity weighted value of play platform, and index preset value is obtained,
Further according to the corresponding subjective weighted value of back-end data, index and the corresponding index preset value of index got, the index is calculated
Objective weight value；To calculate total weighted value of gaming platform according to the objective weight value of the index, finally by total weighted value
User experience quantitative evaluation value as the gaming platform.In this way, back-end data is applied to user experience quantitative evaluation value
In measurement, operator can be allowed according to the user experience quantitative evaluation value measured, accurately understand user on the gaming platform
Experience situation, so as to timely find the gaming platform there are the problem of.
Detailed description of the invention
Fig. 1 is the applied environment figure of the measurement method of user experience quantitative evaluation value in one embodiment；
Fig. 2 is the flow diagram of the measurement method of user experience quantitative evaluation value in one embodiment；
Fig. 3 is the schematic diagram of index corresponding relationship in one embodiment；
Fig. 4 is the flow diagram that the objective weight value step of two-level index is calculated in one embodiment；
Fig. 5 is the flow diagram that the objective weight value step of two-level index is calculated in another embodiment；
Fig. 6 is the structural block diagram of the measuring device of user experience quantitative evaluation value in one embodiment；
Fig. 7 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
It is appreciated that the gaming platform in the embodiment of the present application, which refers to, provides the flat of game products or game services for user
Platform, the gaming platform can be game application or game webpage etc..
The measurement method of user experience quantitative evaluation value provided by the embodiments of the present application, can be applied to as shown in Figure 1
In application environment.Wherein, gaming platform is installed, terminal 102 is communicated by network with server-side 104 in terminal 102.With
Family can play game on the gaming platform, the data that the available user of the gaming platform generates on the gaming platform, and
The data that will acquire pass to the storage of server-side 104；When needing to measure user experience quantitative evaluation value, terminal 102 obtains clothes
The back-end data and user experience quantitative appraisement model middle finger target subjectivity weighted value of the gaming platform stored on business end 104；
The corresponding index preset value of index is also obtained, thus pre- according to the subjective weighted value of the back-end data, index got and index
If value, the objective weight value of parameter；The total of the gaming platform is calculated further according to the objective weight value for the index being calculated
Weighted value, and using total weighted value as the user experience quantitative evaluation value of the gaming platform.Wherein, terminal 102 can with but it is unlimited
Then various personal computers, laptop, smart phone, tablet computer and portable wearable device, server-side can be with
It is realized with the server cluster of the either multiple server compositions of independent server.
In one embodiment, as shown in Fig. 2, a kind of measurement method of user experience quantitative evaluation value is provided, with this
Method is applied to be illustrated for the client in Fig. 1, comprising the following steps:
Step 202, the back-end data and user experience quantitative appraisement model middle finger target subjectivity power of gaming platform are obtained
Weight values.
Specifically, client 102 and server-side 104, which are established, communicates to connect, and has in client 102 for providing trip for user
The gaming platform for product or the game services of playing.Terminal 102 obtain the back-end data of gaming platform that is stored in server-side 104 with
And user experience quantitative appraisement model middle finger target subjectivity weighted value, wherein user experience quantitative appraisement model is flat in game
According to selected multiple indexs building on platform.Further, back-end data includes: the investigational data of gaming platform and game are flat
The operation data of platform；Investigational data is data of the user corresponding to the user identifier of collection to investigation document response, runs number
According to for other data on the gaming platform in addition to investigational data.It is understood that investigational data, which can be, passes through collection
The response data of the document shown on platform with page format, is also possible to data under received line, wherein data are under line
Pass through the data for the user feedback that paper document form is collected.The user identifier institute that other data can be gaming platform collection is right
Data that the corresponding control of the user's operation answered or browsing pages generate, to payment data of some business etc..The user experience
Quantitative appraisement model refers to the model for measuring user experience quantitative evaluation value；There are multiple indexs for assessment in the model,
And each index has corresponding subjective weighted value.Wherein, subjective weighted value is the user experience according to index in gaming platform
Shared criticality determines in process.
Step 204, index preset value is obtained, according to the subjective weighted value and index preset value of back-end data, index, is calculated
The objective weight value of index.Wherein, objective weight value is used to measure the user experience situation of corresponding index.
Specifically, index preset value is for the corresponding preset value of index, the corresponding index preset value of different indexs
Also it is different.Such as: the index preset value of accumulative game duration can be for for 24 hours (hour), player fights total degree per capita
Index preset value can be 5 times.The index preset value is used for compared with the back-end data got, according to comparing the result obtained
Different calculations is selected to calculate the objective weight value of the index.Such as: when the index of accumulative game duration two-level index is pre-
If value is (hour) for 24 hours, and when to get corresponding back-end data be less than (hour) for 24 hours, according to corresponding back-end data,
The subjective weighted value and index preset value of index calculate the objective weight value of corresponding index, wherein index preset value and objective power
Weight values are inversely proportional, and back-end data is directly proportional to objective weight value, and subjective weighted value is directly proportional to objective weight value, when accumulative game
The index preset value of duration two-level index be for 24 hours (hour) when, and the back-end data got be more than or equal to for 24 hours when, add up trip
The objective weight value for duration of playing is its subjective weighted value multiplied by 100%.
Step 206, total weighted value that the gaming platform is calculated according to the objective weight value of index, using total weighted value as this
The user experience quantitative evaluation value of gaming platform.
The measurement method of above-mentioned user experience quantitative evaluation value, by the back-end data and user experience that obtain gaming platform
Quantitative appraisement model middle finger target subjectivity weighted value, and index preset value is obtained, further according to back-end data, the index got
Corresponding subjectivity weighted value and the corresponding index preset value of index, calculate the objective weight value of the index；To according to the index
Objective weight value calculate gaming platform total weighted value, finally using total weighted value as the gaming platform user experience quantify
Assessed value.In this way, back-end data is applied in the measurement of user experience quantitative evaluation value, avoids and only use questionnaire investigation
Data measure the situation of user experience quantitative evaluation value inaccuracy, can make to measure for assessing user experience quantization
The user experience quantitative evaluation value of situation is more acurrate.
In one embodiment, as shown in figure 3, the user experience quantitative appraisement model includes: three index levels,
In, three indicator layer grades are divided into first class index level, two-level index level and three-level index level；The first class index level packet
It includes: the first quantity first class index；The two-level index level includes: the second quantity two-level index；The three-level index level packet
It includes: third quantity three-level index；At least one first class index has several second levels and refers in first quantity first class index
Mark；At least one two-level index has several three-level indexs in second quantity two-level index.
It is understood that the first quantity, the second quantity are a, third quantity each means corresponding index level middle finger mark
Number.Wherein, the first quantity can be 6, that is to say, that first class index level may include 6 first class index；Second
Quantity can be 19, that is to say, that two-level index level may include 19 two-level index；Third quantity can be 18
It is a, that is to say, that three-level index level may include 18 three-level indexs.Further, in the first quantity first class index at least
One first class index has several two-level index；If at least one two-level index has in the second quantity two-level index
Dry three-level index.Such as: the two-level index that key task first class index has includes: business boot flow conversion ratio and pays
Take conversion ratio；Wherein, the three-level index that has of payment conversion ratio two-level index include: to supplement conversion ratio with money after the war, the first day pays
Take conversion ratio and overall payment rate.
In the present embodiment, user experience quantitative appraisement model graduation has divided three index levels, passes through first class index level
Three-level index level is arranged under two-level index for lower setting two-level index level；The index of user experience quantitative evaluation value will be measured
It is refined, avoids all indexs in same level, the case where taking a part for the whole.In this way, embodiments herein can
Improve the accuracy for the user experience quantitative evaluation value measured.
In one embodiment, as shown in figure 3, the first quantity first class index includes: user feeling, user's conversion, uses
Family quality, key task, user's retention, value of the product.
The two-level index of user feeling includes: satisfaction, sharing rate；The two-level index of user's conversion includes: registration rate, new
Rate, accumulative game duration are supplemented in user's growth rate, day online user number, access for the first time with money；The two-level index of user quality includes: flat
Duration, payment data, active users, the game frequency are accessed every time；The two-level index of key task includes: business guidance stream
Journey conversion ratio, payment conversion ratio；The two-level index that user retains includes: to log in retention ratio, the retention ratio that Adds User, day reflux
Rate；The two-level index of value of the product includes: amount received, day every user's average earnings amount of money, new account contribution income volume；Payment
The three-level index of data include: a day recharge amount, day payment permeability, for the first time payment amount, paying customer's number, payment number,
Supplement rate, Zhou Denglu frequency with money again；The three-level index of active users includes: a day active users, all active users, lives the moon
Jump number of users, user's participation, wherein the ratio of user's participation in a few days active users and moon active users；The game frequency
Three-level index include: to fight total degree, moon game number of days, the moon per capita the frequency is supplemented in game number, all game with money per capita；Payment turns
The three-level index of rate includes: to supplementing conversion ratio, first day payment conversion ratio, overall payment rate with money after the war.
It is understood that business boot flow conversion ratio refers to that the user of participation business boot flow is converted to registration user
Ratio；Payment conversion ratio refers to that on gaming platform, payment players number accounts for the ratio of entire active player number；Day, every user was average
The profit amount of money refers to the profit volume that averagely daily each user generates；New account contribution income volume refers to that the account of registration is paid for the first time
Average amount；Day payment permeability is also referred to as day payment conversion ratio, and day payment permeability refers to that averagely daily payment players number accounts for
The ratio of entire active player number；To being supplemented with money after the player that conversion ratio refers on gaming platform fights after the war, in the game
The players number that platform is supplemented with money accounts for the ratio of battle players number；The first day payment conversion ratio refer to the first day log in the gaming platform and pay
Players number accounts for the ratio for the first day logging in the platform player headcounts；Overall payment rate refers to that paying customer's number accounts for total use on the gaming platform
The ratio of amount.
In the present embodiment, first class index, two-level index and three-level index are the statistics for being directed to game industry big data, research
And analysis, the index that can represent user experience situation chosen with reference to business characteristic instantly.Wherein, by the first quantity
First class index corresponds in user feeling, user's conversion, user quality, key task, user's retention and value of the product, various dimensions
Go measurement user to quantify assessed value, abstract data is corresponded in the actual products experience of user, thus according to corresponding index
Data measure user experience quantitative evaluation value, obtain profession and effective data, the result of measurement can be made more quasi-
It is really and true.
In one embodiment, as shown in figure 4, index preset value is obtained, according to the subjective weighted value of back-end data, index
With index preset value, the step of objective weight value of parameter, includes:
Step 402, when two-level index has corresponding three-level index, the three-level index preset value of the three-level index is obtained.
Specifically, when two-level index has corresponding three-level index, it is meant that the two-level index by least one three
Grade index is constituted, it is therefore desirable to obtain the three-level index preset value of corresponding three-level index.
Step 404, according to the three-level index preset value, the master of three-level the index corresponding back-end data and the three-level index
Weighted value is seen, the objective weight value of corresponding three-level index is calculated.
Specifically, after getting the three-level index preset value, according to the three-level index preset value, the three-level index pair
The subjective weighted value of the back-end data and the three-level index answered calculates the objective weight value of corresponding three-level index, the three-level index
Objective weight value be used to calculate the objective weight value of corresponding two-level index.
Step 406, the objective weight value of two-level index is the sum of the objective weight value of corresponding three-level index.
In the present embodiment, when two-level index is arranged with three-level index, by calculating the objective weight value of three-level index,
To obtain the objective weight value of two-level index, the objective weight value of corresponding two-level index can be made more accurate.
In another embodiment, as shown in figure 5, index preset value is obtained, according to back-end data, the subjective weight of index
Value and index preset value, the step of objective weight value of parameter include:
Step 502, when two-level index is without corresponding three-level index, the two-level index preset value of the two-level index is obtained.
Step 504, according to the two-level index preset value, the master of the two-level index corresponding back-end data and the two-level index
Weighted value is seen, the objective weight value of corresponding two-level index is calculated.
In the present embodiment, at least one two-level index is arranged with several three-level indexs in two-level index level, but simultaneously
Three-level index is both provided under certain all two-level index；When two-level index is without corresponding three-level index, the second level is obtained
The two-level index preset value of index, thus according to two-level index preset value, the corresponding back-end data of the two-level index and the second level
The subjective weighted value of index calculates the objective weight value of corresponding two-level index.Even if making to be not provided under two-level index in this way
Corresponding three-level index also can be according to the objective weight value for getting data and calculating the two-level index.
In one embodiment, the measurement method of the user experience quantitative evaluation value, further includes: the objective power of first class index
Weight values are the sum of the objective weight value of the corresponding two-level index of first class index；Total weighted value be first class index objective weight value it
With.
In the present embodiment, since first class index is arranged with several two-level index, two-level index is the refinement of first class index,
Therefore the objective weight value of first class index can be calculated according to the objective weight value of corresponding two-level index, help to make level-one
The objective weight value of index is more accurate and true.
In one embodiment, the measurement method of the user experience quantitative evaluation value, back-end data includes: gaming platform
The investigational data of operation data and gaming platform；The index includes: objective indicator and subjective index；Wherein, objective indicator is used for
Reflect operation data, subjective index is for reflecting investigational data；According to the subjective weighted value of operation data and objective indicator, calculate
The objective weight value of objective indicator；According to the subjective weighted value of investigational data and subjective index, the objective power of subjective index is calculated
Weight values.
Specifically, back-end data refers to the data that the user got generates on gaming platform, which includes
The operation data of the gaming platform and the investigational data of the gaming platform；Operation data refers to that gaming platform passes through the fortune of statistics platform
The data that row information generates, such as: registration rate, new user's growth rate and day online user number etc.；Investigational data refers to by asking
The data that volume investigation obtains, which, which can be, directly acquires the questionnaire data that user fills on gaming platform,
It is also possible to gaming platform and carries out the data uploaded onto the server again after investigation under line.Back-end data can middle content and index
It is corresponding, that is to say, that each index in back-end data in have it is corresponding.Index includes objective indicator and subjective index, visitor
It is corresponding with the operation data in back-end data to see index；Subjective index is corresponding with the investigational data of back-end data；Wherein, objective
See that index and subjective index are each to have corresponding subjectivity weighted value by oneself；According to the subjective weighted value of operation data and objective indicator, meter
Calculate the objective weight value of corresponding objective indicator；According to the subjective weighted value of investigational data and subjective index, calculates corresponding subjectivity and refer to
Target objective weight value.
In the present embodiment, back-end data is divided, has also been carried out the corresponding index of corresponding back-end data stroke
Point, the data of separate sources are distinguished, enable different data with the index of corresponding types subjective weighted value into
Row calculates, to obtain accurate user experience quantitative evaluation value, the operator of gaming platform is enable more accurately to be commented
Estimate as a result, the operator for being conducive to gaming platform understands the specific experience situation of user on the gaming platform.
It should be understood that although each step in the flow chart of Fig. 2, Fig. 4 and Fig. 5 is successively shown according to the instruction of arrow
Show, but these steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly state otherwise herein, this
There is no stringent sequences to limit for the execution of a little steps, these steps can execute in other order.Moreover, Fig. 2, Fig. 4 and
At least part step in Fig. 5 may include that perhaps these sub-steps of multiple stages or stage be not necessarily for multiple sub-steps
It is so to execute completion in synchronization, but can execute at different times, these sub-steps or stage execute sequence
Also it is not necessarily and successively carries out, but can be at least part of the sub-step or stage of other steps or other steps
It executes in turn or alternately.
In one embodiment, as shown in fig. 6, providing a kind of measuring device 600 of user experience quantitative evaluation value, packet
Include: platform data obtains module 602, objective weight value computing module 604, total weight value calculation module, in which:
Platform data obtains module 602, for obtaining the back-end data of gaming platform, in user experience quantitative appraisement model
Index subjective weighted value and index preset value.
Objective weight value computing module 604, for the back-end data according to the gaming platform got, user experience quantization
The subjective weighted value and index preset value of index in assessment models, the objective weight value of parameter.
Total weight value calculation module 606 calculates total weighted value of gaming platform for the objective weight value according to index.
In one embodiment, the measuring device 600 of the user experience quantitative evaluation value, further includes model construction module；
Wherein, model construction module, for constructing model user experience quantitative appraisement model.
In one embodiment, model construction module, comprising: Index module；Index module is used to store the finger in model
Mark.
In one embodiment, objective weight value computing module 604 include: three-level index objective weight value computing module and
Two-level index objective weight value computing module.
Three-level index objective weight value computing module, for according to three-level index preset value, the corresponding backstage of three-level index
The subjective weighted value of data and three-level index calculates the objective weight value of corresponding three-level index.Two-level index objective weight value meter
Module is calculated, for the objective weight value according to corresponding three-level index, calculates the objective weight value of the two-level index.
In another embodiment, objective weight value computing module 604 includes: that two-level index objective weight value calculates mould
Block.
Two-level index objective weight value computing module, for according to two-level index preset value, the corresponding backstage of two-level index
The subjective weighted value of data and two-level index calculates the objective weight value of the two-level index.
In one embodiment, objective weight value computing module 604 includes: first class index objective weight value computing module.
First class index objective weight value computing module, for the objective weight according to the corresponding two-level index of first class index
Value, calculates the objective weight value of the first class index.
In one embodiment, objective weight value computing module 604 is also used to the master according to operation data and objective indicator
Weighted value is seen, the objective weight value of the objective indicator is calculated；According to the subjective weighted value of investigational data and subjective index, calculating should
The objective weight value of subjective index.
Modules in the measuring device of above-mentioned user experience quantitative evaluation value can be fully or partially through software, hardware
And combinations thereof realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment,
It can be stored in a software form in the memory in computer equipment, execute the above modules pair in order to which processor calls
The operation answered.
In one embodiment, a kind of computer equipment is provided, which can be terminal, internal structure
Figure can be as shown in Figure 7.The computer equipment includes processor, the memory, network interface, display connected by system bus
Screen and input unit.Wherein, the processor of the computer equipment is for providing calculating and control ability.The computer equipment is deposited
Reservoir includes non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system and computer journey
Sequence.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The network interface of machine equipment is used to communicate with external terminal by network connection.When the computer program is executed by processor with
Realize a kind of measurement method of user experience quantitative evaluation value.The display screen of the computer equipment can be liquid crystal display or
Electric ink display screen, the input unit of the computer equipment can be the touch layer covered on display screen, be also possible to calculate
Key, trace ball or the Trackpad being arranged on machine equipment shell can also be external keyboard, Trackpad or mouse etc..
It will be understood by those skilled in the art that structure shown in Fig. 7, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specifically computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, in one embodiment, a kind of computer readable storage medium is provided, is stored thereon with
Computer program realizes the step in the method for the various embodiments described above when computer program is executed by processor.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of measurement method of user experience quantitative evaluation value, which comprises
Obtain the back-end data and user experience quantitative appraisement model middle finger target subjectivity weighted value of gaming platform；Wherein, institute
Stating user experience quantitative appraisement model is to be constructed on gaming platform according to selected multiple indexs；
Index preset value is obtained, according to the subjective weighted value and the index preset value of the back-end data, the index, is calculated
The objective weight value of the index；
Total weighted value that the gaming platform is calculated according to the objective weight value of the index, using total weighted value as described in
The user experience quantitative evaluation value of gaming platform.
2. the method according to claim 1, wherein the user experience quantitative appraisement model includes:
Three index levels, three indicator layer grades are divided into first class index level, two-level index level and three-level index level；
The first class index level includes: the first quantity first class index；
The two-level index level includes: the second quantity two-level index；
The three-level index level includes: third quantity three-level index；
At least one first class index has several two-level index in the first quantity first class index；
At least one two-level index has several three-level indexs in the second quantity two-level index.
3. according to the method described in claim 2, it is characterized in that, the first quantity first class index include: user feeling,
User's conversion, user quality, key task, user's retention, value of the product；
The two-level index of the user feeling includes: satisfaction, sharing rate；
The two-level index of user's conversion includes: registration rate, new user's growth rate, day online user number, access is supplemented with money for the first time
Rate, accumulative game duration；
The two-level index of the user quality includes: averagely each access duration, payment data, active users, the game frequency；
The two-level index of the key task includes: business boot flow conversion ratio, payment conversion ratio；
The two-level index that the user retains includes: to log in retention ratio, the retention ratio that Adds User, day reflux ratio；
The two-level index of the value of the product includes: amount received, day every user's average earnings amount of money, new account contribution income
Volume；
The three-level index of the payment data includes: a day recharge amount, day payment permeability, for the first time payment amount, paying customer
Number, supplements rate, Zhou Denglu frequency with money at payment number again；
The three-level index of the active users includes: a day active users, all active users, moon active users, user
Participation, the wherein ratio of user's participation in a few days active users and moon active users；
The three-level index of the game frequency include: per capita fight total degree, moon game number of days, the moon per capita game number, travel round
The frequency is supplemented in play with money；
The three-level index of the payment conversion ratio includes: to supplementing conversion ratio, first day payment conversion ratio, overall payment rate with money after the war.
4. according to the method described in claim 2, it is characterized in that, the acquisition index preset value, according to the back-end data,
The subjective weighted value of the index and the index preset value, the step of calculating the objective weight value of the index include:
When the two-level index has corresponding three-level index, the three-level index preset value of the three-level index is obtained；
According to the three-level index preset value, the subjectivity of the three-level the index corresponding back-end data and the three-level index
Weighted value calculates the objective weight value of the corresponding three-level index；
The objective weight value of the two-level index is the sum of the objective weight value of the corresponding three-level index.
5. according to the method described in claim 2, it is characterized in that, the acquisition index preset value, according to the back-end data,
The subjective weighted value of the index and the index preset value, the step of calculating the objective weight value of the index include:
When the two-level index is without corresponding three-level index, the two-level index preset value of the two-level index is obtained；
According to the two-level index preset value, the subjectivity of the two-level index corresponding back-end data and the two-level index
Weighted value calculates the objective weight value of the corresponding two-level index.
6. according to the method described in claim 2, it is characterized in that, which comprises
The objective weight value of the first class index is the sum of the objective weight value of the corresponding two-level index of the first class index；
Total weighted value is the sum of the objective weight value of the first class index.
7. the method according to claim 1, wherein the back-end data includes: the operation of the gaming platform
The investigational data of data and the gaming platform；
The index includes: objective indicator and subjective index；Wherein, the objective indicator is for reflecting the operation data, institute
Subjective index is stated for reflecting the investigational data；
According to the subjective weighted value of the operation data and the objective indicator, the objective weight value of the objective indicator is calculated；
According to the subjective weighted value of the investigational data and the subjective index, the objective weight value of the subjective index is calculated.
8. a kind of measuring device of user experience quantitative evaluation value, which is characterized in that described device includes:
Platform data obtains module, for obtaining the back-end data of gaming platform, the index in user experience quantitative appraisement model
Subjective weighted value and index preset value；
Objective weight value computing module, for the back-end data according to the gaming platform got, user experience quantitative evaluation mould
The subjective weighted value and index preset value of index in type, the objective weight value of parameter；
Total weight value calculation module calculates total weighted value of gaming platform for the objective weight value according to index.
9. a kind of computer equipment, including memory and processor, be stored on the memory to run on a processor
Computer program, which is characterized in that the processor realizes any one of claims 1 to 7 when executing the computer program
The step of the method.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
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