CN108014496A - Game records analysis method - Google Patents
Game records analysis method Download PDFInfo
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- CN108014496A CN108014496A CN201710018947.9A CN201710018947A CN108014496A CN 108014496 A CN108014496 A CN 108014496A CN 201710018947 A CN201710018947 A CN 201710018947A CN 108014496 A CN108014496 A CN 108014496A
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- 238000004891 communication Methods 0.000 claims abstract description 10
- 238000007405 data analysis Methods 0.000 claims abstract description 7
- 230000007306 turnover Effects 0.000 claims description 61
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- 230000002123 temporal effect Effects 0.000 claims description 3
- 238000009472 formulation Methods 0.000 claims description 2
- 238000013480 data collection Methods 0.000 abstract description 2
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Classifications
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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
- A63F13/55—Controlling game characters or game objects based on the game progress
- A63F13/56—Computing the motion of game characters with respect to other game characters, game objects or elements of the game scene, e.g. for simulating the behaviour of a group of virtual soldiers or for path finding
-
- 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
- A63F13/77—Game security or game management aspects involving data related to game devices or game servers, e.g. configuration data, software version or amount of memory
-
- 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
- A63F13/30—Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers
- A63F13/35—Details of game servers
-
- 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
-
- 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
- A63F13/71—Game security or game management aspects using secure communication between game devices and game servers, e.g. by encrypting game data or authenticating players
-
- 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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/10—Services
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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
- A63F2300/53—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 details of basic data processing
- A63F2300/535—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 details of basic data processing for monitoring, e.g. of user parameters, terminal parameters, application parameters, network parameters
-
- 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 present invention includes the game server that can provide game content as the game client including terminal；And record and analyze server in the above-mentioned game content correlation log Data Collection described in above-mentioned game client.Above-mentioned record analysis server includes can be from the communication module of above-mentioned client collector journal data；The record storage portion of collector journal data is stored by above-mentioned communication module；Further include the logdata record content for the above-mentioned collection during foresight activity or between nonmobile phase, storage, the selection of information as needed and selected information, there is provided different weights value carries out the analysis module of daily record data analysis.During above-mentioned game content carry out activity being shown during above-mentioned activity；Above-mentioned ludic activity shows the game state information for belonging to above-mentioned game content operation information.Such as：Difficulty of playing, game role rank and game carry out the change setting of at least more than one in speed.
Description
Technical field
The present invention is the game records analysis method using games log data analysis churn rate.Especially, being can be real
When forecast analysis object turnover rate when not playing or delete Games Software (application when) log analysis methodology.
Background technology
Have benefited from the popularization of network capital construction, the Game Market based on past single-play game, is gradually substituted by online game.
Exemplified by MMO game, online game article (ITEM) and game virtual coin all play an important role player.Cause
This, sometimes as personal asset, into the object merchandised between player.
For these reasons, the account that happens occasionally is usurped, exchanges article (ITEM) swindle event etc..If player reports account
Number theft, record information which generates Analysis server in real time and after ascertaining the reason can be to use
Person provides associated solutions.
Moreover, the characteristics of these game is exactly that various interactions are had between the game role of virtual world player exercises
Occur.The various interactions produced between these game roles, can become game records analysis object.That is, these game need
Subsequent analysis is carried out according to content is recorded and analyzed, and this kind of game can carry out subsequent analysis, therefore this and past box-packed game
And there is very big difference with most leisure game.
MMO network game servers can generate the game records text of storage player role action in certain period of time
Part.
In general, game records file includes player role action record information, actuation time information and player
Relevant information of game role etc..But also including various parameter relevant informations of playing.
The content of the invention
(1) technical problems to be solved
The present invention will set the Games Software for analyzing object, perform stage progress customer loss probability analysis.This hair
It is bright analysing content to be not only supplied to game company (game developer) or game services company (game publisher), but also
The analysis of causes and analysis in real time can be also lost by user's game flow, when leakage occurs in user, can provide immediately to prevent
The running algorithm of customer loss.
(2) technical solution
The present invention includes the game server that can provide game content as the game client including terminal；And upper
State the above-mentioned game content correlation log Data Collection described in game client and record and analyze server.Above-mentioned record analysis service
Device includes can be from the communication module of above-mentioned client collector journal data；Collector journal data are stored by above-mentioned communication module
Record storage portion；Further include as in the above-mentioned collection during foresight activity or between nonmobile phase, the logdata record stored
Hold, the selection of information as needed and selected information, there is provided different weights value carries out the analysis module of daily record data analysis.
During above-mentioned game content carry out activity being shown during above-mentioned activity；Above-mentioned ludic activity refers to, belongs to above-mentioned game content
The game state information of operation information.Such as：Difficulty of playing, game role rank and game carry out speed in it is at least one with
On change setting.
(3) beneficial effect
By log analysis methodology of the present invention, customer analysis can not only be done by the daily record data of real-time collecting, but also
User's game can effectively be analyzed by, which having, downloads or deletes the advantages such as information, action message.And have by daily record data analysis result,
The advantages that more easily obtaining development of games information, game revenue source.
Brief description of the drawings
Fig. 1 is game records analysis system structure chart of the present invention.
Fig. 2 is to represent that the present invention records and analyzes the structure chart of server (performing game records analysis).
Fig. 3 is according to embodiments of the present invention, illustrates the flow chart of game records analysis method.
Fig. 4 is according to embodiments of the present invention, illustrates that analysis game turnover rate standard can be used as, that is, explaining can be as benchmark
Basic data is collected, the flow chart of analytic process.
Fig. 5 is according to embodiments of the present invention, illustrates that the flow chart of turnover rate method at initial stage is predicted in game after downloading.
Fig. 6 is according to embodiments of the present invention, illustrates that real-time estimate game performs the flow chart of turnover rate method.
Embodiment
Fig. 1 is game records analysis system structure chart of the present invention.
First, game records analysis method of the present invention is to utilize the game performed from game company's client 10 and user visitor
The record information that family end 11 generates, the method that according to during ludic activity whether carries out index analysis, this can be carried for game company
For significant information.
" ludic activity " of the present invention is defined as follows：
" ludic activity " refers to, the given period especially set by game company's game server or record analysis server
Between.Refer to specific period herein again, different preferential planning activities are given to the technical ability of game, gold coin, match mode etc..
For example, when new game role is added such as in game, and additional new game role for Raid, (live by team's copy
It is dynamic) if Boss, the grade of original Boss game roles will reduce, and the chance for obtaining special article (Unique Item) will
(specific period) is improved for the moment, the broken difficulty closed also decreases, therefore more users can be attracted to play game.And these key elements are all
It can be referred to as ludic activity.
That is, ludic activity refers to that changing article (ITEM) during ludic activity obtains difficulty, adjustment game role etc.
Level (level) or adjustment game carry out speed etc. and change a series of actions such as game state information to perform game.
And game state information refers to, user performs all multi informations required during game.Can user can be allowed to perform trip
Fraction for being set to game level situation, breaking (clear) each outpost of the tax office needs of play or grade etc. can make user be easier to reach a standard
When need article (ITEM) information, to buy game virtual coin needed for above-mentioned article (ITEM) etc., that is, perform game when institute
Article, game role and the outpost of the tax office needed, which is set, can all become game state information.
Moreover, there is the vocabulary being used in conjunction with above-mentioned game state information in present system and method --- User Activity
Record.
User Activity record refers to that user performs information during game.All action messages during user's execution game are all
Recorded as User Activity.For example, User Activity record can be user in the institute played or carried out respectively in game role
There is action, or game role, article (Item), each outpost of the tax office execution state and game perform the users such as number and perform or operate
The action that occurs during game is considered as game role action message that user's game is attended to anything else etc..
Meanwhile activity during refer to it is above-mentioned activity carry out during, and without activity during then become nonmobile phase
Between.That is, can be interior during activity or in nonmobile phase during user's execution game or log data.
When analyzing turnover rate, the present invention will be according to (activity during or nonmobile phase between) during collection of log data, there is provided
Different weighted value indexs (indicator).
That is, in general user will be collected into daily record data in the action message that game carries out, but the present invention is used and is somebody's turn to do
During logdata record information, display content or change can be changed (whether during activity) during with good grounds log data
The characteristics of content weighted value.
Because the game company for runing game server 20 releases new game role or newly-increased expression game carry out degree
Game ratings when, the activity of a variety of game promotions can be carried out, and the low user's ginseng of game participation is had during ludic activity
Add.
Moreover, being analysis daily record data in the present invention, the Games Software end message for analyzing object download will be utilized at the same time
With the Games Software download information.Terminal said here includes the energy such as PC, Mac, tablet computer, ios device and Android device
The all devices of downloading game software.It is not single to include mobile terminal.
The concrete mode and explanation of present invention analysis daily record data, refer to following picture and content.
Meanwhile such as wonder the game records information from the transmission of above-mentioned game client 11, if recorded during activity
, user can be confirmed and verified in above-mentioned game server 20 or record analysis server 100.
Above-mentioned game server 20 refers to, the client 11 of user terminal is loaded under mobile terminal etc..The server is not only
Game services are provided, and the record (Log) for being installed in game user equipment, running and deleting can be pushed to Game analysis
On server 100.
Above-mentioned game client 11 can also be sent to user in the game records of device downloads, execution and deletion game
State and record and analyze server 100.
The game information obtained from above-mentioned game client 11 and game server 20；That is, the present invention is according to reception daily record
The above-mentioned record analysis server 100 of data, will be described in detail log analysis methodology.
Fig. 2 is that the present invention for performing game records analysis records and analyzes server architecture figure；Fig. 3 is to implement according to the present invention
Example, illustrates the flow chart of game records analysis mode.
First, recording and analyzing server 100 according to Fig. 2 present invention includes receiving the communication module 110 of daily record data；Pass through
Above-mentioned communication module 110 stores the record storage portion 120 of collector journal data；Whether according to during activity, to what is collected
Daily record data, gives various criterion value and weighted value, and the classification extraction module 130 classified to daily record data and extracted；
Analysis has been extracted or the analysis module for daily record data of classifying 140；And the medelling system of modular process is carried out to daily record data
System 150.
When illustrating the present invention, above-mentioned record analysis server 100 seems by multiple module compositions.But actually server is real
Border structure, i.e., physically these modules are not required to be performed separately., can be in the multidimensional work(of single chip execution modules according to embodiment
Energy.Therefore, the structure of module and action can be seen as the aid illustration for helping understand.
The function mode of each modular structure, illustrates according to Fig. 3.
First, (S11) daily record data will be collected from client 11 and game server 20 by communication module 110.
Here, the daily record data collected includes the temporal information of log data, represents game user action message
Foregoing User Activity records, in the game state information (terminal's status information) of terminal downloads.And daily record data may also include
User information (account, mailbox etc.).
In the present invention, for prediction participation in advance, the churn rate of execution analysis object Games Software, it will collect to delete and be somebody's turn to do
Loss record and the terminal related informations such as game, and analyze after the daily record data that the user and terminal collect, read pre- flow measurement
Relevant information needed for mistake rate.
To carry out above-mentioned analysis, and to be stored in the daily record data information of the collection of record storage portion 120, it may include following item
Mesh, and these can also be user activity information and terminal's status information.
Information is divided into before deletion game with after deletion game, then having the User Activity letter before deleting the game
Cease, delete user activity information after the game, delete the game before terminal's status information and delete the terminal shape after the game
State information.The terminal of the game is downloaded, can be the daily record data and deletion recorded before the above-mentioned record analysis server 100 of download
The daily record data recorded afterwards, is sent to during certain and records and analyzes server 100.
For example, deleting the user activity information before the game can be, game clearing failure record, rest on spy tens of days
The other outpost of the tax office but without break through record, delete game before tens of days users be not carried out game record and even if carry out activity,
But tens of days do not break through the information at the special outpost of the tax office etc. yet.
Moreover, deleting the terminal's status information before the game can be, such as：The undesirable record of network, the game occurred
User account when other-end connects (changes terminal when) record and performs game, because phone or perform other software (should
With) and stop the record of game etc..
These daily record datas can be sent to above-mentioned communication module 110 from game client 11 and game server 20.As above
Preceding described, game client includes once downloading terminal of analysis object Games Software etc..
According to embodiments of the present invention, for more effectively analysis, using daily record data, it can be taken action according to user and carry out specification pipe
Reason.
For example, the user terminal image information where before analysis object download game, collects daily record data.From spy
When determining to be connected to object game download UI using (types of facial makeup in Beijing operas Facebook), it will store and transmit application-specific image information.
In this way, the daily record data collected can store (S12) in above-mentioned record storage portion 120.The file of storage deposits execution
Agreement is stored up, therefore can also be stored in Hadoop Ecosystem.Here, Hadoop Ecosystem are by jointly with there is storage work(
The document storage system that more kinds of sub-projects of HDFS/MaspReduce of energy are formed.Be referred to as Flume, HBase, Hive, Pig,
The big data relevant item such as Sqoop, Zookeeper, Storm, Kafka.
For example, collect daily record data will with 20151010120000_connectionlog_0001.log,
20151010120100_itemlog_001.log、20151010120100_connectionlog_0001.log、
20151010120000_virtualmoneylog_0001.log form is waited to be stored in record storage portion 120.
Moreover, with the daily record data meeting automated execution storage agreement of above-mentioned form storage, and information is stored to Hadoop
Ecosystem。
Flafka, Flafka can be used to be the Flume that mixed Hadoop Ecosystem are used for above-mentioned storage protocol engine
And the service of Fafka.Data then can be can analyze Spark Streaming, the Hive of data in real time or can provide original note
Tri- kinds of forms of HBase of record are stored.Above-mentioned work is completed, then can enter analysis program.
Moreover, the Streaming game informations to that need to be analyzed in real time of Spark, such as：Game clearing (including it is virtual
Gold coin), game articles relevant information, user access information and content execution information etc. carry out storage program.
Here, can be completed by mono- solution of Spark Streaming, ability is repeated in various platforms in the past
The work (task) of completion, and distributed analysis can be carried out in multiple servers, therefore it is appropriate for big data analysis
Platform.User can utilize Spark Streaming to analyzing object information in real time, such as：Analyze download games user in object
Initial stage turnover rate and the real-time turnover rate etc. when performing game analyzed.
Moreover, exemplified by Spark Streaming, though can be presented with scalar form, Python, JAVA etc. can be supported by having
The SDK of multiple programs language, therefore the storage data of a variety of data of the storage such as Hadoop, Amazon S3, Cassandra are provided
Storehouse.
According to above-mentioned storage agreement, can be remembered in the file of Hadoop Ecosystem storages by analysis module 140
Record analysis program.
Afterwards, it can be classified to the daily record data stored by present invention classification extraction module 130, the work such as extract.
Such as, (S13) extraction statistical indicator work can be carried out.
Extraction statistical indicator work is that last stages daily record data analyzes the preprocessing process of work.Such as want using above-mentioned
The daily record data of storage counts is loaded onto Spark it is necessary to the daily record data that Hive is handled, then the data after loading can pass through
Spark SQL extract statistical indicator.
Spark SQL refer to handle structured data or the data of non-mode.SQL correlation basic training is not only provided
Can, but also the data query number for being stored in external program can be simplified, therefore the model of database structure relation can be eliminated.
Statistical indicator using above-mentioned Spark SQL can be in Games Software, such as：It is daily active user number, daily
New sales volume, daily repeat buying sales volume, daily accumulated sales revenue, the daily user for using less than 10 minutes, it is daily from
So flow into new registration member, the new registration member flowed into daily by advertisement, daily active user, daily new purchase game articles
User, daily new purchase game articles required time, daily repeat buying game articles user, daily purchase entirely play thing
User, the use of daily purchase game articles 10,000~1.5 ten thousand won below the user of product, daily 5,000 won of game articles of purchase
Number is downloaded at family, daily game, number is deleted in daily game, daily game re-downloads number and daily game performs the information such as number.
The statistical indicator of extraction, can be stored in general database system or zoning is stored in above-mentioned record storage portion 120, and
Used when will be needed by analysis module 140.Statistical indicator is according to embodiment, represents various information, and can select multiple choosings
The index of item.Above-mentioned statistical indicator is a citing example.
Secondly, to extract significant Games Software analysis result, the statistical indicator and games log number of extraction can be utilized
According to carrying out extraction work (S14).
That is, by the games log data of collection and by above-mentioned games log data processing, extraction statistical indicator into
After row data analysis (record analysis), the analysis work of daily record data will be carried out again by above-mentioned analysis module 140.
Above-mentioned analysis module 140 will carry out analysis work using the Distribute Computing technologies of Spark Core
Make.And be assessment animation effect (or validity), before following the trail of ludic activity, during ludic activity, ludic activity terminates
Etc. the change of each statistical indicator.
User can utilize the statistical indicator of above-mentioned classification extraction module 130 extraction, confirmation activity carry out before, into the departure date
Between, carry out after statistical indicator increasing degree, maintain the statistics that increases substantially during the presence or absence of certain state index and activity
The presence or absence of index.Therefore can front and rear data more movable in detail.
Moreover, when carrying out (S104) games log data and statistical indicator analysis work, will be according to embodiments of the present invention, meeting
To analysis object download game after initial stage turnover rate and perform game when turnover rate analyze.
It is the detailed description using games log data prediction, analysis turnover rate below.
First, according to embodiments of the present invention, analyze download games after initial stage turnover rate and perform game when turnover rate
Before, first analysis foundation data are needed.
That is, analysis module 140 of the present invention can be predicted the possibility that Games Software user continuously carries out game, and delete or
The long-term possibility for not performing the game.Here, generation can be belonged to the terminal of the daily record data of basic data and user is considered as
It is the first user, and index is extracted according to above-mentioned basic data, newly downloaded game is it is likely that the terminal and user that are lost in are visual
To be second user.
According to embodiments of the present invention, the loss of the game and the loss of user refer to, user deletes game and not
Reconnected during setting, perform the behaviors such as game.Game turnover rate and churn rate have the possibility of above-mentioned loss.
Fig. 4 is according to embodiments of the present invention, illustrates that analysis game turnover rate standard can be used as, that is, explaining can be as benchmark
Basic data is collected, the flow chart of analytic process.
In the future to carry out turnover rate prediction, the related work of specific criteria index will be carried out.
The log data loss rate that above-mentioned analysis module 140 stores for the above-mentioned record storage portion 120 of prediction, will receive
Collection, classification (S101) and relevant daily record data of playing.That is, there is games log data correlation in above-mentioned record storage portion 120 greatly
Data message.And above-mentioned analysis module 140 can then extract the game correlation log that can predict turnover rate from record storage portion 120
Data.
Moreover, the daily record data of extraction can be by analysis module 140, can be energy prediction game object turnover rate
Daily record data, is divided into the user activity information and terminal's status information of described above.
Moreover, above-mentioned analysis module 140 can also be directed to be judged as with the relevant daily record data of the game, temporally divided
Class works.That is, the user information (such as account) of deletion record, game have deletion record after downloading after being downloaded according to game
The daily record data that is generated for user and terminal of end message (MAC address etc.) classify.Afterwards, and can be to having divided
The daily record data of class is divided by record, generation period.
Here, classified logdata record period, it is impossible to as determining what whether the game recorded during activity
Criterion.In other words, classified daily record data, it is impossible to whether during activity or inactive as the definite record time
The criterion of period.
Analytical table during activity and between nonmobile phase is possible to consistent.But the user being actually lost in or terminal can be given birth to
Into daily record data included by customizing messages (indication information) give different weighted values.
For example, when defining turnover rate (P) using aX+bY+cZ=P formula, X, Y and Z are by as being included in daily record data
Indication information and numerical value, and a, b and c then become the weighted value of the information of each index.Calculate the specific example of turnover rate, i.e. stream
Mistake rate (P)=a (Raid winning rates)+b (Raid contribution degrees)+c (user gradation)+d (attack+phylactic power defensive power)/2.
The present invention is by being included in the customizing messages in all multi informations for daily record data of having classified, with log data
Period whether during activity or between nonmobile phase, give different weighted value (S103).
During above-mentioned described activity, the change on game state information is had.That is, swum to allow more users to add
Play reduces game articles price, or reduces the broken fraction etc. that closes and have relevant change.For example, the winning rate of Raid can be put down than past
Average rises, and game user average contribution degree can also change.Therefore, number of users has very between nonmobile phase during activity
Big difference.Moreover, the difficulty of game and the contribution degree of user may all change, therefore need to divide during prediction turnover rate
During activity between nonmobile phase, different weighted values is given in selected information.
Secondly, using the different weights value information (indication information) used in each daily record data and the number set
Formula is learned, judges the highest user group of turnover rate.
That is, to the actual daily record data information for being lost in user and terminal collection, different weighted values is used by the record time
Afterwards, the formula set, extraction, the generation highest information of (S104) turnover rate (index) can be utilized.
Because this has been the daily record data for occurring being lost in, therefore to generate significant index in daily record data, is first had to
, need to be by the way that turnover rate be calculated close to 100% index after mathematical formulae set in advance gives different weights value.This
When, the index of generation can become the important reference index of prediction turnover rate.
Again collect, classify actually have loss game user and terminal daily record data when, for prediction be included in daily record
The turnover rate information of data, the information used can give various change and modification according to embodiment.
Predict turnover rate object Games Software as embodiment be both game when, following information be applicable to prediction be lost in
Rate.But these projects are only one embodiment of the invention, include but not limited to this.
Exemplified by adventure game, it is broken close ability information, it is broken close temporal information, end of text rate information etc. all can be used in
Predict turnover rate.
Moreover, exemplified by PVP (Player Vs Player) game, PVP winning rates information and PVP contribution degree information can be used in
Predict turnover rate.
Also, exemplified by Raid (team's copy activity) play, Raid winning rates information, Raid contribution degrees information and Raid obtain thing
Product information etc. all can be used in prediction turnover rate.
That is, it is real-time estimate, analyzes the turnover rate of the game, the index that this will have been selected to use.
Afterwards, turnover rate prediction work can be carried out according to the index of above-mentioned selection.Turnover rate prediction is in the present embodiment point
For real-time turnover rate analysis occurred in being performed after the turnover rate analysis at initial stage and download games after analysis object download game etc.
Process.
Fig. 5 is according to embodiments of the present invention, illustrates that the flow chart of turnover rate method at initial stage is predicted in game after downloading.
First, (S201) will be collected and downloads the user of the game and the status information of terminal.That is, above-mentioned analysis module 140
Can be that increase Games Software usage amount predicts turnover rate in advance.Therefore, can extract the user account of downloading game software, gender,
The personal information such as age, and the terminal's status information of the download games such as terminal kinds.
Moreover, it is prediction turnover rate, it will (be lost in the day of user and terminal from daily record data extraction (S202) basic data
Will data) indication information.
At this moment, to predict the turnover rate since download phase of playing, above-mentioned analysis module 140 will be from each daily record number
Play according to extraction and download channel information., can be as whether the record time be in active stage although the daily record data predicts turnover rate
Between give different weighted values, but the downloading mode and channel of the game, also the weighted value size of selective goal is played important
Effect.
In the present invention, the user for being downloaded or being performed by the property returned advertisement is known as non-organic user, without passing through
The user that the channels such as return property advertisement directly scanned for, select download games from software store etc. is known as organic user.
The advertisement of return property generally can be preferential to give download gold coin, article etc. in web page interlinkage or other application link etc.
Mode is presented.
Deletion is played, no after non-organic user generally only understand download games or only break goal gradient in these users
Perform the feature of game.Therefore, it need to play in the present invention in logdata record and download channel relevant information.
Moreover, turnover rate of the above-mentioned analysis module 140 for prediction organic user and non-organic user respectively,
By using the daily record data of above-mentioned user, game usage time, end of text rate, content execution time etc. are analyzed.
Secondly, by the daily record data according to collection whether during activity, to extraction index give different weighted values into
Row formulation (S203).
Afterwards, by the end value for having weighting by comparing and the indicators standard value extracted from basic data, prediction
(S204) turnover rate for download phase of playing.
Download games channel or mode and by the property returned advertisement flow into etc. information knot be included in daily record data.And make
During with these data prediction turnover rates, it can respectively predict in advance, analyze organic user turnover rates and non-organic
User turnover rates.Moreover, only the organic user for having prediction turnover rate meaning can be analyzed.
Fig. 6 is according to embodiments of the present invention, illustrates that real-time estimate game performs the flow chart of turnover rate method.
Analysis object game user and end message will be based on, collects (S301) daily record from game client (terminal) in real time
Data.
Moreover, to predict the turnover rate of each daily record data, will be from the index extraction information of decision selection.Moreover, with
The time (in whether during activity) of log data, base values can also change (S302).
For example, during activity exemplified by the daily record data of interior collection, can be carried based on A information, B information and C information
Fetching mark, and then can extract index based on B information, C information and D information between nonmobile phase.
Moreover, can with during collection (activity during or nonmobile phase between) selective goal for being included in daily record data is believed
Breath, using different weighted values (S303).
To predict the turnover rate of the game, by according to using selection criteria index real-time collecting daily record data, to user
Game turnover rate is predicted (S304).
Moreover, turnover rate is close to its setting value or breaks through user or the terminal of its setting value, then it can use what is set
Prevent from being lost in algorithm (S305).
Prevent that being lost in algorithm can be used in, the high user of log data loss rate predicted value or terminal.Moreover, can also basis
User's gaming event information or terminal's status information use different algorithms.
Exemplified by adventure game, user activity information less than standard value, and the high situation of its turnover rate have it is as follows：Than being lost in
Time of rate low group body risk is long, using weapon and defence capability be lower than the ability needed for risk grade at present or article (medicine
Water) consumption ratio is general 1.3 times high.
At this moment, can by prevent be lost in algorithm provide a user meet game role grade risk area recommend prompting,
Article (liquid medicine), which is given a discount, prompts or meets free article of game ratings etc., can use many algorithms.
Moreover, have in user's game execution information because of the high situation of user's technical deficiency game turnover rate.
That is, all multi informations such as the user of technical deficiency has a broken checkpoint time length, end of text rate is low, PVP is low.
At this moment, can be by preventing loss algorithm from improving the attack and phylactic power defensive power, hair of user's game role according to embodiment
Sending the article purchase prompt message that can strengthen ability or provide the maneuverable free article of energy or discount prompting etc. can
Using different algorithms.
Exemplified by other situations, the high situation of churn rate is had according to end message display content.The low electricity of performance
Brain or mobile phone and usually if machine, have the high judgement of turnover rate may.At this moment, can issue the user with because terminal or PC etc. play
The reason for client, the game prompt message such as not smooth.
Claims (5)
1. as the client for including terminal, including the game server of content can be provided；And collected in the game client
The record analysis server of the game content correlation log data；
The server that records and analyzes includes the communication module from the client collector journal data, passes through the communication module
Store the record storage portion of collector journal data；It is and during activity or non-according to the daily record data of the collection or storage
During activity, to selective goal needed for turnover rate prediction and selective goal gives different weights value, and can analyze daily record number
According to analysis module；
Refer to during the activity, during the game content carries out game promotion activity,
The ludic activity refers to, belongs to the game state information of the game content operation information.Such as：Difficulty of playing, trip
Role's rank of playing and game carry out the change setting of at least more than one in speed；
The analysis module refers to, and extracts in the game client and deletes from the daily record data for being stored in the record storage portion
Carried out except the user information and the game client client information of the game content, and data based on the daily record data of extraction
The operating mode of analysis；
The analysis module is that can predict the base values of turnover rate from basic data analysis result extraction, and pass through i.e.
The base values of extraction, predicts the game records analysis method that the game client turnover rate is characterized.
2. client according to claim 1, it is characterised in that
The analysis module is, as the base values extracted from the basic data, extraction user activity information, the SOT state of termination
The operating mode of information；
The user activity information is, as the User Activity record information of game content, to buy and believe including at least game articles
Breath, game level execution information, the game content perform number and perform the more than one contents such as temporal information；
I.e., the game content is when the game client performs preceding or execution to the terminal's status information, including the trip
The game records analysis method that play client network status information is characterized.
3. client according to claim 2, it is characterised in that
When any one terminal of the game client is loaded under the game content, described terminal deletion trip is represented for prediction
The turnover rate of play, and turnover rate at initial stage therein, the analysis module will come into operation；
The analysis module, it will the daily record data collected from the terminal obtains the game content and downloads channel and download side
After the information such as formula, judge that user belongs to the first user or second user；
The analysis module can also be the first user or second user according to user, without the turnover rate at initial stage analysis or
Person gives the user information different weighted values；The game records analysis method that the present invention is carried out with this feature.
4. client according to claim 3, it is characterised in that
Any one terminal of the game client is loaded under the game content, and the game is performed in the terminal
When, the analysis module is predicted loss in real time by by comparing daily record data and the index at initial stage in the terminal
Rate works；
Whether the daily record data according to the terminal during activity, is given different weighted values, gone forward side by side by the analysis module
The row base values relatively or by formulation is calculated；The game records analysis side that the present invention is carried out with this feature
Method.
5. client according to claim 4, it is characterised in that
The analysis module after carrying out turnover rate relatively, judges institute by the daily record data of the index at initial stage and real-time collecting
State turnover rate it is higher than setting value when, the game content status information performed in the terminal can be changed, and can perform and can carry
High user's participation rate prevents loss operational mode；The game records analysis method carried out with this feature.
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