CN107741898A - A kind of game player based on big data operates preference analysis method and system - Google Patents
A kind of game player based on big data operates preference analysis method and system Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3438—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment monitoring of user actions
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/70—Game security or game management aspects
- A63F13/79—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3476—Data logging
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- G06—COMPUTING; CALCULATING OR COUNTING
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
- A63F2300/50—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
- A63F2300/55—Details of game data or player data management
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Abstract
The invention provides a kind of game player based on big data to operate preference analysis system and method.The present invention can will operate the big data collection and analysis of input content and operational motion process to user, particular game scene relating during these operations is performed with user, and before under particular game scene, operation forms operational chain afterwards, the object analyzed using the specific environment data of operational chain and its association as big data, with big data parsers such as clusters, realize and the big data of user preference in particular game environment is analyzed, caused analytical conclusions can be used for gui interface optimization or player's auxiliary, and analytical conclusions and the suitability of particular game environment are strong, with sufficient scene specific aim.
Description
Technical field
The present invention relates to big data applied technical field, and in particular to a kind of game player based on big data operates preference
Analysis method and system.
Background technology
Currently, whole human society enters at a high speed the big data epoch.Particularly with various computers or smart machine
For carrier, be built-in among operating system, application program, network service and need authorized user's data acquisition, uploaded and
Analytic function.By converging magnanimity, various, real-time user data, ultra-large data acquisition system is formed, recycles big data
Analysis method, obtain the valuable information such as preference, the action rule of data behind user.With as obtained by big data analysis
Based on information, the preferential content for being supplied to user can be screened, optimization provides the user flow of service, etc..
Among the game kind equipment of networking and service, related operators by actively applying big data technology, reach
To the purpose for improving Consumer's Experience, the game service that rises in value.For example, Chinese patent literature CN106878409 discloses a kind of game
Data handling system and processing method, including data acquisition module, the data acquisition module include API data acquisition module and
Gather parsing module；Data storage module, it is electrically connected with data acquisition module；Data analysis module, with data storage module
It is electrically connected with, data analysis module is used to carry out statistical analysis to API data and game process parameter and generates analysis result.Through
Statistical analysis obtains the data with directiveness, helps player to understand analysis game, improves player's competitiveness.The prior art
The acquisition for generating data in game process for user is biased toward, processing is gathered outside official's API data, additionally it is possible to parses ratio
The video data of video recording is matched, so as to gather more source datas.In another example Chinese patent literature CN107050863A discloses one
Kind based on big data analysis game auxiliary control method and system, its can will with the type of play of the first player and operation eventually
Hold the manipulation data of the second player to match to be sent to the first player, auxiliary provided for the first player, reach game-play enjoyment and
The matching of game difficulty.Chinese patent literature CN106648397 then discloses a kind of game operation record processing of mobile terminal
Method and system, wherein recording game player's interface operation, collecting operation data, export script file, file is handled,
Obtain gesture operation, triggering moment and the corresponding screen coordinate during player interface operation；Screen corresponding to gesture operation is sat
Point is presented with visual view corresponding to mark, such as thermodynamic chart, scatter diagram, block diagram；Obtained by above method
The visual view obtained can help to analyze manipulation strength, the operational load of user, so as to setting for research game UI interfaces
Meter provides auxiliary, such as whether analysis interface design meets user operation habits.
It can be seen that gathering and analyzing among the prior art applied to game products big data, existed with gathering player
Based on operation data during game interaction, acquisition mode includes interface and gathers and extracted from game video picture；
And then the rule that statistical analysis these operation datas include, and then the suggestion for operation of directiveness is provided to player, or to game
Designer's feedback adjustment interface arrangement of operation interface and the suggestion of display.
The deficiencies in the prior art include：First, the behaviour that prior art is gathered by interface and extracted by picture
The operation input content (such as selection to menu item of playing) and operational motion process (example of player have been typicallyed represent as data
Position and frequency such as click action, the length of sliding action and scope etc. in touch-control game), and then can be to these operands
Analyzed according to the central player's custom showed and preference；But any operation of player is all specific among game
Game environment under deploy, particular game environment here refers to that player takes the state (example for operating targeted object
The personage of player is represented in such as playing) and the object and correlation of other objects when operation in game；Existing skill
Without pointedly particular game environmental data corresponding to acquisition operations in art, also not by the operation data of player and operation
When particular game environmental data associate carry out big data analysis, it is easy to cause caused analysis result (such as to play
The guidance of family) it is inapplicable.Second, in game process, a whole set of behaviour that the forward and backward all previous operation of player often mutually links
Make, the input or action of previous action determine or affected several operations below, and prior art does not have to player closes
The forward and backward operation of connection property is subject to the analysis of big data as an entirety.3rd, in terms of the optimization at game interaction interface,
Prior art considers the regularity of distribution and preference of the statistical analysis player on operational motion, and so as to optimizing interactive interface, but
It is also without the rule and preference and the relation of particular game environment for taking into full account player in terms of operational motion, easily causes
Interactive interface applicable situation after optimization is limited, and the effect for improving operating experience is undesirable.
The content of the invention
(1) technical problem solved
In view of the shortcomings of the prior art, the invention provides a kind of game player based on big data to operate preference analysis side
Method and system.Among the game application that is run from networked intelligent device of the present invention or service the operation data of collection player and
The particular game environmental data associated with operation data, and by the forward and backward operation data several times gathered according to forward and backward
Degree of correlation between operation is connected as operational chain；Unit polymerize big data based on operational chain, and deploys towards big data
Player exercises preference analysis；Using player's preference analysis result as according to factor, the graphical user for optimizing game interacts (GUI) boundary
Face, or provide the services such as operation auxiliary for player.
(2) technical scheme
To achieve the above object, the present invention provides following technical scheme：
A kind of game player based on big data operates preference analysis system, it is characterised in that including：Operation data gathers
Layer, operation data accumulation layer, operational data analysis process layer, application layer；
The operation data acquisition layer, which is used to establish with smart machine by network, to be connected, the trip run from smart machine
Among play application or service, the operation data of real-time collection player and the particular game environment number associated with operation data
According to；
The operation data accumulation layer obtains operation data and the particular game environmental data associated with operation data, and
And time shaft structured storage mechanism is used, the scattered operation data in the source that operation data acquisition layer is provided and specific trip
Environmental data play using time shaft as clue, the structural data storage file being integrated into units of time interval；
The operational data analysis process layer obtains structural data storage file from the operation data accumulation layer, extraction
Operation data, it is determined that the particular game environmental data associated with operation data, and by forward and backward operation data several times and its
Particular game environmental data is connected as operational chain according to the degree of correlation between forward and backward operation；Unit is gathered based on operational chain
Big data is closed, and deploys player exercises preference analysis towards big data；
The application layer obtains attributes preferred with the player of particular game environmental correclation connection from operational data analysis process layer
Big data analysis result, and based on the result perform various functions application.
Preferably, the operation data acquisition layer specifically includes：Journal file interface, operation interface interface, sports ground
Scape interface, real time business stream interface and the regular unit of data；The journal file interface is real-time from game application or service
Obtain in the application or service and record player exercises input content and its daily record of input time；The operation interface interface timing
Cursor click location coordinate of the player on graphical user's interaction (GUI) interface of game is sampled, or is touched in touch-control game
Position coordinates, record position coordinate and sampling time, as the operational motion process data；The scene of game interface is used
The existing whole that graphical user is interacted in the particular game scene presented on (GUI) interface when timing sampling player exercises is right
As reading object list；The whole being related among the particular game scene that real time business stream interface is presented when being operated for user
Object, timing inquiry sample the status data of each object.
Preferably, the operational data analysis process layer specifically includes：Environmental pattern analytic unit, operating environment association
Unit, operational chain big data generation unit, big data preference analysis unit；The environmental pattern analytic unit is from each structuring
The list object and Obj State that every act of particular game scene of extraction includes among data storage file, according to list object and
The diversity factor of Obj State, environmental labelling is marked to every act of particular game scene, the scene with identical game environment is marked
Identical environmental labelling；The operating environment associative cell extracts recorded operand among structural data storage file
According to, including operation input content data and operational motion process data, according to the time of origin or operational motion for operating input
Acquisition time, operation data is mapped to the particular game scene of identical acquisition time, further according to each particular game scene
The environmental labelling being marked, determine the associated particular game environmental data of operation data；The operating environment associative cell is also
The all operationss data of same particular game environment, including operation input content data and operation are associated with for single player
Action process data, according to the time sequencing of operation, these operation datas are integrated into operational chain；Operating environment associative cell will
Operational chain data and associated particular game environmental data are uploaded to operational chain big data generation unit；Operational chain big data
Generation unit polymerize operational chain data and the associated particular game environmental data that whole players upload, with structural data
The form of file is stored, and forms operational chain big data；Big data preference analysis unit is single for the generation of operational chain big data
The operational chain big data that member is polymerize, is analyzed by big data parser, therefrom obtains user in particular game environment
Operation preference under data.
It may further be preferable that two act particular game fields of the environmental pattern analytic unit for wherein arbitrary neighborhood
Scape, the percentage that the same object for first determining whether to include in adjacent two acts of particular game scenes accounts for whole objects in every act of scene are
It is no to be less than threshold value, judge this two acts of particular game fields if the percentage of at least one act scene in two acts of scenes is less than threshold value
Scape has different game environments；If the same object included in adjacent two acts of particular game scenes accounts for the percentage of whole objects
Than being all higher than being equal to threshold value, then and then Obj State value is utilized, the state for calculating whole same objects in this two acts of scenes is overall
Diversity factor；If state entirety diversity factor is more than or equal to threshold value, judge that this two acts of particular game scenes have different game rings
Border, if state entirety diversity factor is less than threshold value, judge that this two acts of particular game scenes have identical game environment.
Preferably, the application layer be used for realize player's miscellaneous function, according to by auxiliary player particular game environment,
The player exercises preference changed under particular game environment provided based on operational data analysis process layer, must to being exported by auxiliary player
The prompting wanted；Or the application layer is used to realize that the graphical user of optimization game interacts (GUI) interface, according to particular game ring
The operation inputting preferences and operational motion preference of player under border, to entering to the Interface Options under particular game environment and button position
Row optimization.
The present invention and then provide a kind of game player based on big data and operate preference analysis method, it is characterised in that
Comprise the following steps：
Established and connected by network and smart machine, it is real among the game application or service run from smart machine
The operation data of when property collection player and the particular game environmental data associated with operation data；
Operation data and the particular game environmental data associated with operation data are obtained, and uses time shaft structuring
Memory mechanism, the operation data that source is disperseed and particular game environmental data are integrated into the time using time shaft as clue
Section is the structural data storage file of unit；
Structural data storage file is obtained, operation data is extracted, it is determined that the particular game ring associated with operation data
Border data, and by forward and backward operation data several times and its particular game environmental data according to the related journey between forward and backward operation
Degree is connected as operational chain；Unit polymerize big data based on operational chain, and deploys player exercises preference analysis towards big data；
The big data analysis result attributes preferred with the player of particular game environmental correclation connection is obtained, and is held based on the result
Row various functions application.
Preferably, in the following ways in any one or more gather the operation data of player and and operand
According to associated particular game environmental data：Obtained in real time from game application or service and player behaviour is recorded in the application or service
Make the daily record of input content and its input time；Timing sampling player interacts the light on (GUI) interface in the graphical user of game
Punctuate hits touch position coordinates, record position coordinate and sampling time in position coordinates, or touch-control game, as the behaviour
Work action process data；Graphical user is interacted in the particular game scene presented on (GUI) interface during timing sampling player exercises
Existing whole objects, reading object list, the whole being related among the particular game scene presented when being operated for user
Object, timing inquiry sample the status data of each object.
Preferably, it is determined as follows the particular game environmental data associated with operation data：From each knot
The list object and Obj State that every act of particular game scene of extraction includes among structure data storage file, according to object column
The diversity factor of table and Obj State, environmental labelling is marked to every act of particular game scene, the scene quilt with identical game environment
Mark identical environmental labelling；Recorded operation data, including operation input are extracted among structural data storage file
Content-data and operational motion process data, according to the time of origin of operation input or the acquisition time of operational motion, it will operate
Data are mapped to the particular game scene of identical acquisition time, the environment mark being marked further according to each particular game scene
Note, determine the associated particular game environmental data of operation data.
It may further be preferable that the difference of list object and Obj State between particular game scene is judged in the following way
Different degree：The same object for judging to include in adjacent two acts of particular game scenes account for whole objects in every act of scene percentage whether
Less than threshold value, this two acts of particular game scenes are judged if the percentage of at least one act scene in two acts of scenes is less than threshold value
With different game environments；If the same object included in adjacent two acts of particular game scenes accounts for the percentage of whole objects
It is all higher than being equal to threshold value, then and then utilizes Obj State value, calculate the state Integral Differential of whole same objects in this two acts of scenes
Different degree；If state entirety diversity factor is more than or equal to threshold value, judge that this two acts of particular game scenes have different game environments,
If state entirety diversity factor is less than threshold value, judge that this two acts of particular game scenes have identical game environment.
Preferably, performed based on the attributes preferred big data analysis result of the player joined with particular game environmental correclation
Functional application includes：Player's miscellaneous function is realized, according to the particular game environment for being aided in player, based on operational data analysis
The player exercises preference changed under particular game environment that process layer provides, necessary prompting is exported to by auxiliary player；Or use
Interact (GUI) interface in the graphical user for realizing optimization game, according to the operation inputting preferences of player under particular game environment and
Operational motion preference, to being optimized to the Interface Options under particular game environment and button position.
(3) beneficial effect
Compared with prior art, the invention provides a kind of game player based on big data operate preference analysis system and
Method, possesses following beneficial effect：
The present invention can will operate the big data collection and analysis of input content and operational motion process to user, with user
Particular game scene relating during these operations is performed, and operation is formed for forward and backward operation under particular game scene
Chain, the object analyzed using the specific environment data of operational chain and its association as big data, calculated with the analysis of the big datas such as cluster
Method, realize and the big data of user preference in particular game environment is analyzed, it is excellent that caused analytical conclusions can be used for gui interface
Change or player aids in, and analytical conclusions and the suitability of particular game environment are strong, have sufficient scene specific aim.
Brief description of the drawings
Fig. 1 is that a kind of game player based on big data proposed by the present invention operates the signal of preference analysis overall system architecture
Figure；
Fig. 2 is the operation data acquisition layer structural representation of present system；
Fig. 3 is the time shaft structured storage schematic diagram of mechanism that the present invention takes；
Fig. 4 is the operational data analysis process layer structural representation of present system.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
Fig. 1 is that a kind of game player based on big data proposed by the present invention operates the signal of preference analysis overall system architecture
Figure.The system is divided into operation data acquisition layer, operation data accumulation layer, operational data analysis process layer, application layer on the whole.
The operation data acquisition layer, which is used to establish with smart machine by network, to be connected, the trip run from smart machine
Among play application or service, the operation data of real-time collection player and the particular game environment number associated with operation data
According to.The operation data of player generally comprises：Illustrate player operation input content (such as to play menu item selection,
To the selection of the directionkeys of mobile target, the selection of the instruction key acted to personage's execution in manipulation game in game) and behaviour
Make the data of action process (such as the position of click action and frequency, the length of sliding action and scope etc. in touch-control game).
Particular game environmental data refers to that player takes each object operated in targeted scene of game (such as to be represented in game
The personage of player, the personage for representing other players, stage property, pipe clamp obstacle, bonus etc.) state (such as the object is being played
The self attributes of position coordinates, the object in space) and correlation of the objects when operation.
As shown in Fig. 2 the operation data acquisition layer specifically includes：Journal file interface, operation interface interface, sports ground
Scape interface, real time business stream interface and the regular unit of data.The journal file interface is real-time from game application or service
Obtain in the application or service and record player exercises input content and its daily record of input time；Can be in game application or clothes
Embedment hook (Hook) plug-in unit among business, input content will be operated caused by the every single stepping of player and its input time is remembered in real time
Record is among player's daily record.Operation interface interface timing sampling player interacts the light on (GUI) interface in the graphical user of game
Punctuate hits touch position coordinates, record position coordinate and sampling time in position coordinates, or touch-control game, as the behaviour
Work action process data；Smart machine, which all has, interacts user's input coordinate interface that (GUI) interface is adapted with graphical user,
User's position coordinates that each cursor is clicked on, or touch position coordinates are provided to gui interface；Game application or the plug-in unit of service
The coordinate values of user's input coordinate interface offer can be provided, and pass to the operation interface interface.The sports ground
Scape interface is used to determine that the existing whole that graphical user is interacted in the scene of game presented on (GUI) interface during player exercises is right
As, including player takes and operates other objects in targeted object and game；The generation of game picture is using object
The method of modeling, i.e., the parameters domain of the model is assigned according to the state of going game on the basis of original object models
Value, the display effect of original object models is updated according to the parameter after assignment, is formed in a certain curtain particular game scene and shown
An object, by whole objects that this act of particular game scene is related to, (background element of scene etc. is typically also defined as pair
As) combine successively, that is, form graphical user and interact the scene of game presented on (GUI) interface；The scene of game
Interface obtains the configuration parameter for defining particular game scene by timing sampling, reads list object therein, it is possible to obtain
Graphical user interacts existing whole objects in the scene of game presented on (GUI) interface.Real time business stream interface is for using
The whole objects being related among the particular game scene that family is presented when operating, timing inquiry sample the status data of each object；
For example, for networked game play, the status data of each object be maintained in game server active profile it
In, and according to the instruction of the business data flow of two-way interactive and parameter between game server and smart machine, to the state
Data are updated, then real time business stream interface can intercept the business data flow, and then obtain the status data of each object.
The regular unit of data connects above-mentioned journal file interface, operation interface interface, scene of game interface and real time business stream interface；Pin
The scattered operation input content data of the multi-format type provided above-mentioned interface, operational motion process data, scene of game
List object data and Obj State data, these data are encapsulated as the event package of unified form by the regular unit of data, with elder generation
Enter the buffer area caching event package first gone out, and the data flow that event package is formed is sent to operation data accumulation layer；When receiving number
The instruction of event package has been received according to accumulation layer feedback, then has deleted the event package in buffer area, reclaims spatial cache.
Operation data accumulation layer extracts event package among the data flow that the regular unit of data is sent, and obtains in operation input
Hold data, operational motion process data, scene of game list object data and Obj State data.Operation data accumulation layer uses
The time shaft structured storage mechanism of the invention specially designed, as shown in figure 3, dividing time shaft according to predetermined unit length
For chronomere section, such as each chronomere is 10s, and 50 chronomeres form a chronomere section, are each
Chronomere sets up in section a structural data storage file；According to the operation input content data, operational motion process
Data, the generation of scene of game list object data and Obj State data or acquisition time are (for example, what player's daily record was recorded
Operate the input time of input content, player clicks on or time of origin, particular game scene and the game object shape of touch action
Setup time of state etc.), the chronomere section of its ownership is determined, these data are inserted into knot corresponding to the chronomere section
Structure data storage file.The operation data accumulation layer of the present invention changes existing big data system according to structuring and non-structural
Change the general fashion for distinguishing data storage, the scattered operation data in the source that operation data acquisition layer is provided is using time shaft as line
Rope, the structural data storage file being integrated into units of time interval, so as to the interrelated and behaviour between data
The integration for making chain is laid a good foundation.
Operational data analysis process layer obtains structural data storage file, extraction operation from the operation data accumulation layer
Data, it is determined that the particular game environmental data associated with operation data, and by forward and backward operation data several times and its specific
Gaming environment data is connected as operational chain according to the degree of correlation between forward and backward operation；Unit polymerization is big based on operational chain
Data, and deploy player exercises preference analysis towards big data.As shown in figure 4, operational data analysis process layer specifically includes：Ring
Border mode analyzing unit, operating environment associative cell, operational chain big data generation unit, big data preference analysis unit.
Environmental pattern analytic unit extracts the section among the structural data storage file in each chronomere section
Each chronomere up-sampling every act of particular game scene list object and Obj State that include.For wherein any
Two acts of adjacent particular game scenes, the same object for first determining whether to include in adjacent two acts of particular game scenes account for every act of scene
Whether the percentage of middle whole objects is less than threshold value, if the percentage of at least one act scene in two acts of scenes is less than threshold value
Judge that this two acts of particular game scenes have different game environments；If included in adjacent two acts of particular game scenes identical
The percentage that object accounts for whole objects is all higher than being equal to threshold value, then and then utilizes Obj State value, calculates complete in this two acts of scenes
The state entirety diversity factor of portion's same object；If state entirety diversity factor is more than or equal to threshold value, this two acts of particular games are judged
Scene has different game environments, if state entirety diversity factor is less than threshold value, judges that this two acts of particular game scenes have
Identical game environment.According to above-mentioned result of determination, environmental pattern analytic unit marks environment mark to every act of particular game scene
Note, the scene with identical game environment are marked identical environmental labelling.
For example, among a structural data storage file, the particular game field of each chronomere's (per 10s) sampling
Scape S1, S2......Sn-1, Sn......Sm, wherein two adjacent scene Sn-1, SnIn, scene Sn-1Comprising whole object sets
It is combined into Objectn-1={ O1, O2......On-1, On......Ok, scene SnComprising whole object sets be Objectn=
{O′1, O '2......O′l-1, O 'l......O′m, it is determined that two scene Sn-1, SnIn the same object that includes be two above
Intersection of sets collectionJudge common factor Objectn-1∩
ObjectnNumber of objects account for set Object respectivelyn-1With set ObjectnThe percentage of middle number of objects, if wherein appointed
One percentage of meaning is less than threshold value, then judges that this two acts of particular game scenes have different game environments.If two percentages
Than being all higher than being equal to threshold value, then show two adjacent scene Sn-1, SnPresent in object be on the whole convergent, then enter
And for occuring simultaneouslyCentral each object, analysis should
Object is in scene Sn-1In state value and scene in SnState value absolute difference, and then to common factor Objectn-1∩
ObjectnThe state value absolute difference of middle whole objects is weighted summation, as state entirety diversity factor, i.e.,
Wherein DIFF (Sn, Sn-1) represent scene Sn-1, SnBetween state entirety diversity factor,Represent scene Sn-1, Sn
Shared objectIn scene Sn-1In state value,Represent scene Sn-1, SnShared objectIt is on the scene
Scape SnIn state value, αiRepresent weighted sum coefficient.Different objects are done for the state entirety diversity factor between analysis scene
The influence degree gone out is different, so embody the influence degree by weight coefficient, for representing the object of player its weighting
The weight of summation coefficient is maximum, to representing its weighted sum coefficient of the object of other game roles less than the object for representing player
Weighted sum coefficient weights, and represent the object of background element its weighted sum coefficient weights minimum.If state entirety diversity factor
DIFF(Sn, Sn-1) be more than or equal to threshold value, then judge this two acts of particular game scene Sn-1, SnWith different game environments, if shape
State entirety diversity factor DIFF (Sn, Sn-1) be less than threshold value, then judge this two acts of particular game scene Sn-1, SnPlayed with identical
Environment.Environmental pattern analytic unit is to every act of particular game scene S among structural data storage file1, S2......Sn-1,
Sn......SmEnvironmental labelling is marked, wherein, the scene for belonging to identical game environment is judged according to algorithm above, is marked phase
Same environmental labelling.
Operating environment associative cell extracts recorded behaviour among the structural data storage file in chronomere section
Make data, including operation input content data and operational motion process data, it is dynamic according to the time of origin of operation input or operation
The acquisition time of work, operation data is mapped to the particular game scene of identical acquisition time, further according to each particular game
The environmental labelling that scene is marked, determine the associated particular game environmental data of operation data.Particular game environmental data table
Show that player takes each object operated in targeted scene of game (such as to represent the personage of player in game, represent other
The personage of player, stage property, pipe clamp obstacle, bonus etc.) state (such as position coordinates of the object in gamespace, should
The self attributes of object) and correlation of the objects when operation.For being marked with the more of identical environmental labelling
Individual particular game scene, determine the set of same object among these particular game scenes, such as previously described common factor
Objectn-1∩ ObjectnRepresent two scene Sn-1, SnIn the same object that includes, and then obtain in the same object set
Object in each state value with the scene of identical environmental labelling, seek its mean state value for these state values, make
For the particular game environmental data of these scenes with identical environmental labelling, and by the particular game environmental data and these
Operation data is associated corresponding to scape.
And then operating environment associative cell is associated with all operationss number of same particular game environment for single player
According to, including operation input content data and operational motion process data, it is according to the time sequencing of operation, these operation datas are whole
It is combined into operational chain.Operational chain reflects the entirety of the forward and backward a series of operation input of player under specific game environment and action.
Also, operational chain data and associated particular game environmental data are uploaded to the big number of operational chain by operating environment associative cell
According to generation unit.Operational chain big data generation unit polymerize operational chain data and the associated specific trip that whole players upload
Play environmental data, is stored in the form of structured data file, forms operational chain big data.
Big data preference analysis unit is directed to the operational chain big data that operational chain big data generation unit is polymerize, by big
Data analysis algorithm is analyzed, and therefrom obtains operation preference of the user under particular game environmental data.
Specifically, the record of operational chain big data of the big data preference analysis unit based on whole players, use
Automatic cluster algorithm, these operational chain big datas are included into several operation preference clusters automatically.Big data preference analysis unit
Extract all operationss chain data of whole players, it is assumed that common n operational chain, be calculated asPreset these
Operational chain data are included into k preference cluster, then any from n operational chain to choose k value as initial cluster centre, are calculated as
Ec1, Ec2..., Eck；Calculate Ei-n, Ei-n+1..., EiIn each operational chain data (including operation data and be associated
Particular game environmental data) and Ec1, Ec2..., EckIn each cluster centre distance value Vi-Ck=| Ei-Eck|, and then will
Ei-n, Ei-n+1..., EiIn each operational chain distribute to Ec1, Ec2..., EckCentral closest cluster centre therewith
Affiliated cluster；Then the cluster centre of each cluster is recalculated again；Then E is calculatedi-n, Ei-n+1..., EiIn each operate
Chain and the distance value of cluster centre recalculated, and according to distance value by Ei-n, Ei-n+1..., EiIn each operational chain again
Distribute to the cluster belonging to cluster centre closest therewith；Then cluster centre is updated again；Iteration above procedure, until
Cluster centre no longer changes after renewal.And then for the cluster of each operational chain data, count each of which type
Operation input and the incidence of operational motion, using several operation inputs of incidence highest and operational motion as particular game
Player under environment is attributes preferred.
Application layer obtains attributes preferred big of player with particular game environmental correclation connection from operational data analysis process layer
Data results, and various functions application is performed based on the result.For example, for player's miscellaneous function, according to being aided in
The particular game environment of player, the operation of player's preference under the particular game environment according to the conclusion of cluster analysis, can be determined
Input, to currently by the auxiliary necessary prompting of player.Or (GUI) interface is interacted for the graphical user of optimization game, also may be used
With the operation inputting preferences and operational motion preference according to player under particular game environment, using will be put by the input options of preference
Push up or be highlighted, the frequently means such as block occur by operational motion in interface is placed on by the button of preference, with optimization
The human-computer interaction interface of game.
The present invention can will operate the big data collection and analysis of input content and operational motion process to user, with user
Particular game scene relating during these operations is performed, and operation is formed for forward and backward operation under particular game scene
Chain, the object analyzed using the specific environment data of operational chain and its association as big data, calculated with the analysis of the big datas such as cluster
Method, realize and the big data of user preference in particular game environment is analyzed, it is excellent that caused analytical conclusions can be used for gui interface
Change or player aids in, and analytical conclusions and the suitability of particular game environment are strong, have sufficient scene specific aim.
It should be noted that term " comprising ", "comprising" or its any other variant are intended to the bag of nonexcludability
Contain, so that process, method, article or equipment including a series of elements not only include those key elements, but also including
The other element being not expressly set out, or also include for this process, method, article or the intrinsic key element of equipment.
In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including the key element
Process, method, other identical element also be present in article or equipment.
Although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of changes, modification can be carried out to these embodiments, replace without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (10)
1. a kind of game player based on big data operates preference analysis system, it is characterised in that including：Operation data gathers
Layer, operation data accumulation layer, operational data analysis process layer, application layer；
The operation data acquisition layer, which is used to establish with smart machine by network, to be connected, and the game run from smart machine should
With or service among, real-time collection player operation data and the particular game environmental data associated with operation data；
The operation data accumulation layer obtains operation data and the particular game environmental data associated with operation data, and adopts
With time shaft structured storage mechanism, the scattered operation data in the source that operation data acquisition layer is provided and particular game ring
Border data are using time shaft as clue, the structural data storage file that is integrated into units of time interval；
The operational data analysis process layer obtains structural data storage file, extraction operation from the operation data accumulation layer
Data, it is determined that the particular game environmental data associated with operation data, and by forward and backward operation data several times and its specific
Gaming environment data is connected as operational chain according to the degree of correlation between forward and backward operation；Unit polymerization is big based on operational chain
Data, and deploy player exercises preference analysis towards big data；
The application layer obtains attributes preferred big of player with particular game environmental correclation connection from operational data analysis process layer
Data results, and various functions application is performed based on the result.
2. the game player according to claim 1 based on big data operates preference analysis system, it is characterised in that described
Operation data acquisition layer specifically includes：Journal file interface, operation interface interface, scene of game interface, real time business stream interface
And the regular unit of data；The journal file interface is obtained in the application or service and recorded in real time from game application or service
Player exercises input content and its daily record of input time；The operation interface interface timing sampling player uses in the figure of game
Family interaction (GUI) interface on cursor click location coordinate, or touch-control game in touch position coordinates, record position coordinate with
And the sampling time, as the operational motion process data；The scene of game interface is used to scheme during timing sampling player exercises
Existing whole objects in the particular game scene presented on shape user mutual (GUI) interface, reading object list；Real-time industry
The whole objects being related among the particular game scene that business stream interface is presented when being operated for user, timing inquiry sampling are each right
The status data of elephant.
3. the game player according to claim 1 based on big data operates preference analysis system, it is characterised in that described
Operational data analysis process layer specifically includes：Environmental pattern analytic unit, operating environment associative cell, the generation of operational chain big data
Unit, big data preference analysis unit；The environmental pattern analytic unit extracts among each structural data storage file
The list object and Obj State that every act of particular game scene includes, it is right according to the diversity factor of list object and Obj State
Every act of particular game scene marks environmental labelling, and the scene with identical game environment is marked identical environmental labelling；It is described
Operating environment associative cell extracts recorded operation data, including operation input content among structural data storage file
Data and operational motion process data, according to the time of origin of operation input or the acquisition time of operational motion, by operation data
The particular game scene of identical acquisition time is mapped to, the environmental labelling being marked further according to each particular game scene, really
Determine the associated particular game environmental data of operation data；The operating environment associative cell is associated with together also for single player
The all operationss data of one particular game environment, including operation input content data and operational motion process data, according to behaviour
The time sequencing of work, these operation datas are integrated into operational chain；Operating environment associative cell is by operational chain data and correlation
The particular game environmental data of connection is uploaded to operational chain big data generation unit；The polymerization of operational chain big data generation unit is all played
The operational chain data and associated particular game environmental data that family uploads, are deposited in the form of structured data file
Storage, form operational chain big data；Big data preference analysis unit is directed to the operational chain that operational chain big data generation unit is polymerize
Big data, analyzed by big data parser, therefrom obtain operation preference of the user under particular game environmental data.
4. the game player according to claim 3 based on big data operates preference analysis system, it is characterised in that described
Environmental pattern analytic unit first determines whether adjacent two acts of particular game fields for two acts of particular game scenes of wherein arbitrary neighborhood
Whether the percentage that the same object included in scape accounts for whole objects in every act of scene is less than threshold value, if in two acts of scenes at least
The percentage of one act of scene then judges that this two acts of particular game scenes have different game environments less than threshold value；It is if adjacent
The percentage that the same object included in two acts of particular game scenes accounts for whole objects is all higher than being equal to threshold value, then so that using pair
As state value, the state entirety diversity factor of whole same objects in this two acts of scenes is calculated；If state entirety diversity factor be more than etc.
In threshold value, then judge that this two acts of particular game scenes have different game environments, if state entirety diversity factor is less than threshold value,
Judge that this two acts of particular game scenes have identical game environment.
5. the game player according to claim 4 based on big data operates preference analysis system, it is characterised in that described
Application layer is used to realize player's miscellaneous function, according to the particular game environment for being aided in player, based on operational data analysis processing
The player exercises preference changed under particular game environment that layer provides, necessary prompting is exported to by auxiliary player；Or it is described should
It is used to realize that the graphical user of optimization game interacts (GUI) interface with layer, is inputted according to the operation of player under particular game environment
Preference and operational motion preference, to being optimized to the Interface Options under particular game environment and button position.
6. a kind of game player based on big data operates preference analysis method, it is characterised in that comprises the following steps：
Established and connected by network and smart machine, among the game application or service run from smart machine, real-time
Gather the operation data of player and the particular game environmental data associated with operation data；
Operation data and the particular game environmental data associated with operation data are obtained, and uses time shaft structured storage
Mechanism, the operation data that source is disperseed and particular game environmental data are integrated into time interval using time shaft as clue
For the structural data storage file of unit；
Structural data storage file is obtained, operation data is extracted, it is determined that the particular game environment number associated with operation data
According to, and forward and backward operation data several times and its particular game environmental data are connected according to the degree of correlation between forward and backward operation
It is connected in operational chain；Unit polymerize big data based on operational chain, and deploys player exercises preference analysis towards big data；
The big data analysis result attributes preferred with the player of particular game environmental correclation connection is obtained, and it is each based on result execution
Kind functional application.
7. the game player according to claim 6 based on big data operates preference analysis method, it is characterised in that uses
Any one or more in the following manner gathers the operation data of player and the particular game ring associated with operation data
Border data：When obtaining record player exercises input content in the application or service in real time from game application or service and its input
Between daily record；Timing sampling player interacts the cursor click location coordinate on (GUI) interface in the graphical user of game, or touches
Touch position coordinates, record position coordinate and sampling time in control game, as the operational motion process data；Timing is adopted
Graphical user interacts existing whole objects in the particular game scene presented on (GUI) interface during sample player exercises, reads
List object, the whole objects being related among the particular game scene presented when being operated for user, timing inquiry sampling are each
The status data of object.
8. the game player according to claim 6 based on big data operates preference analysis method, it is characterised in that passes through
Following manner determines the particular game environmental data associated with operation data：Carried among each structural data storage file
The list object and Obj State for taking every act of particular game scene to include, according to the diversity factor of list object and Obj State,
Environmental labelling is marked to every act of particular game scene, the scene with identical game environment is marked identical environmental labelling；From
The recorded operation data of extraction among structural data storage file, including operation input content data and operational motion process
Data, according to the time of origin of operation input or the acquisition time of operational motion, operation data is mapped to identical acquisition time
The particular game scene of point, the environmental labelling being marked further according to each particular game scene, determine what operation data was associated
Particular game environmental data.
9. the game player according to claim 8 based on big data operates preference analysis method, it is characterised in that uses
Following manner judges the diversity factor of list object and Obj State between particular game scene：Judge adjacent two acts of particular game fields
Whether the percentage that the same object included in scape accounts for whole objects in every act of scene is less than threshold value, if in two acts of scenes at least
The percentage of one act of scene then judges that this two acts of particular game scenes have different game environments less than threshold value；It is if adjacent
The percentage that the same object included in two acts of particular game scenes accounts for whole objects is all higher than being equal to threshold value, then so that using pair
As state value, the state entirety diversity factor of whole same objects in this two acts of scenes is calculated；If state entirety diversity factor be more than etc.
In threshold value, then judge that this two acts of particular game scenes have different game environments, if state entirety diversity factor is less than threshold value,
Judge that this two acts of particular game scenes have identical game environment.
10. the game player according to claim 9 based on big data operates preference analysis method, it is characterised in that base
Include in the functional application that the attributes preferred big data analysis result of the player joined with particular game environmental correclation performs：Realize
Player's miscellaneous function, it is specific based on changing for operational data analysis process layer offer according to the particular game environment for being aided in player
Player exercises preference under game environment, necessary prompting is exported to by auxiliary player；Or for realizing the figure of optimization game
Shape user mutual (GUI) interface, according to the operation inputting preferences and operational motion preference of player under particular game environment, to spy
Determine the Interface Options under game environment and button position optimizes.
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