CN110227269A - A kind of Android game user behavior analysis system and method - Google Patents

A kind of Android game user behavior analysis system and method Download PDF

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Publication number
CN110227269A
CN110227269A CN201910428438.2A CN201910428438A CN110227269A CN 110227269 A CN110227269 A CN 110227269A CN 201910428438 A CN201910428438 A CN 201910428438A CN 110227269 A CN110227269 A CN 110227269A
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China
Prior art keywords
user
module
game
detection module
access equipment
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CN201910428438.2A
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Chinese (zh)
Inventor
吴浩
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Wuhan Zhangyou Technology Co Ltd
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Wuhan Zhangyou Technology Co Ltd
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Priority to CN201910428438.2A priority Critical patent/CN110227269A/en
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    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/70Game security or game management aspects
    • A63F13/79Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Business, Economics & Management (AREA)
  • Computer Security & Cryptography (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of Android game user behavior analysis system and methods, the system is by establishing user tag to registration user in advance, and pass through a variety of game behaviors and the detection of ustomer premises access equipment and analysis to user, user delimited to corresponding user tag, to complete the analysis to Android game user behavior, the system can accurately mark off false amount user, convenient to be clicked to brush registration brush to gain the false amount user of putting expense by cheating and be managed.

Description

A kind of Android game user behavior analysis system and method
Technical field
The present invention relates to user behavior analysis technical field, more particularly to a kind of Android game user row For analysis system and method.
Background technique
Currently, existing game company in order to promote its release game products, it will usually pass through media (the wide point of such as wechat Logical, Baidu's information flow, today's tops, UC browser) etc. platforms dispensing buy in user, this investment is that game company mainly runs One of cost, thus there is some media or channel brush registration brush is clicked come the problem of gaining putting expense by cheating, these exceptions User be in industry referred to as " vacation amount ", the presence of vacation amount user not only brings additional cost to game company and throws Enter, the also serious game experiencing for influencing normal player user.
Therefore, the system that Android game user behavior can accurately and reliably be analyzed by how providing one kind is this The problem of field technical staff's urgent need to resolve.
Summary of the invention
In view of this, the present invention provides a kind of Android game user behavior analysis system and method, which passes through A variety of behaviors of registration user are analyzed, and delimit user tag in conjunction with user's device therefor information, obtained result Reliability is higher.
To achieve the goals above, the present invention adopts the following technical scheme:
On the one hand, the present invention provides a kind of Android game user behavior analysis system, which includes:
User tag constructs module, and the user tag building module is that the user that the media amount of leading constructs two categories in advance Label: normal users label and false amount user tag;
Game role detection module, the game role detection module for detect user register for the first time log in after it is online when Whether length is at 10 minutes or more, and whether game role information changes;
Gesture coordinate measurement module, the gesture coordinate measurement module detection user click the same button inside game When, if it is to be clicked in identical coordinate position;
Ustomer premises access equipment detection module, the ustomer premises access equipment detection module are used to detect the CPU of ustomer premises access equipment installation Whether the CPU architecture based on ARM, and whether be equipped on ustomer premises access equipment at least one in the two applications of wechat and Alipay It is a;
Log duration detection module, the log duration detection module were used to detect within the latter week of user's registration account Log in whether number of days is greater than 2 days;
Pay behavioral value module, the payment behavioral value module be used to detect after user's registration within 7 days whether Supplement behavior with money;
Analysis and distinguishing module, the analysis and distinguishing module is for receiving the game role detection module, the inspection of gesture coordinate The testing result information of module, ustomer premises access equipment detection module, log duration detection module and behavioral value module of paying is surveyed, And the quantity of the quantity of "Yes" and "No" in statistic mixed-state result;
User tag delimit module, and the user tag delimit module according to the analysis and distinguishing module to testing result Statistical data is that active user delimit corresponding label in the user tag building module.
On the basis of above scheme, explanation is further explained to technical solution provided by the invention.
Further, the game role information includes role ID, role's title, area takes ID, area takes title, role etc. Grade, fighting capacity number, high ladder ranking and arena ranking.
Further, it is corresponding in active user's delimitation user tag building module that the user tag, which delimit module, Label when, delimit foundation are as follows: when the quantity of "No" in testing result is greater than or equal to 3, it is false that active user, which delimited, Otherwise amount user tag delimit active user for normal users label.
Further, above-mentioned Android game user behavior analysis system further includes data management module, the data pipe Module is managed to detect the game role detection module, gesture coordinate measurement module, ustomer premises access equipment detection module, log duration The data that module and payment behavioral value module detect carry out real-time storage and periodically report to server.
On the other hand, the present invention also provides a kind of Android game user behavior analysis method, this method uses above-mentioned A kind of Android game user behavior analysis system, realize user tag building, a variety of user behaviors detection with analysis and The functions such as user tag delimitation.
It can be seen via above technical scheme that compared with prior art, the present disclosure provides a kind of Android game User behavior analysis system, by establishing user tag to registration user in advance, and by a variety of game behaviors to user with And the detection and analysis of ustomer premises access equipment, user delimited to corresponding user tag, to complete to Android game user The analysis of behavior, which can accurately mark off false amount user, convenient to be clicked to brush registration brush to gain putting expense by cheating Vacation amount user is managed.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this The embodiment of invention for those of ordinary skill in the art without creative efforts, can also basis The attached drawing of offer obtains other attached drawings.
Fig. 1 attached drawing is a kind of system module structure group of Android game user behavior analysis system provided by the invention At schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
On the one hand, the embodiment of the invention discloses a kind of Android game user behavior analysis system, which includes:
User tag constructs module 1, and the user that user tag constructs module 1 and comes in advance for the media amount of leading constructs two categories Label: normal users label and false amount user tag;
Game role detection module 2, game role detection module 2 are used to detect user and register online hours after login for the first time Whether at 10 minutes or more, and whether game role information changes;
Gesture coordinate measurement module 3, when gesture coordinate measurement module 3 detects the same button inside user's click game, It whether is clicked in identical coordinate position;
Ustomer premises access equipment detection module 4, the CPU that ustomer premises access equipment detection module 4 is used to detect ustomer premises access equipment installation are The no CPU architecture based on ARM, and whether be equipped on ustomer premises access equipment at least one in the two applications of wechat and Alipay It is a;General simulator is based on the CPU architecture with x86, and mobile phone is essentially all based on the CPU architecture with ARM;
Log duration detection module 5, log duration detection module 5 is used to detect to be stepped within the latter week of user's registration account Whether record number of days is greater than 2 days;
Whether payment behavioral value module 6, payment behavioral value module 6 have within 7 days after being used to detect user's registration Supplement behavior with money;
Analysis and distinguishing module 7, analysis and distinguishing module 7 is for receiving game role detection module 2, gesture coordinate measurement module 3, the testing result information of ustomer premises access equipment detection module 4, log duration detection module 5 and behavioral value module 6 of paying, and The quantity of the quantity of "Yes" and "No" in statistic mixed-state result;
User tag delimit module 8, and user tag delimit module 8 according to analysis and distinguishing module 7 to the statistics of testing result Data are that active user delimit corresponding label in user tag building module 1.
For the preliminary definition of normal users label are as follows: type of play audient crowd, willingness to pay is strong, online hours compared with Long, after the user installation in a period of time, daily online hours are longer, labour union or underworld gang established inside game, with other Player interaction is more, fighting capacity list first, and operation is more frequent inside game, and clicking the coordinate in sliding screen is without rule , the application installed in ustomer premises access equipment relatively includes the application of social life finance type comprehensively, and user mobile phone model is mostly Flagship mobile phone in 2-3, user have carried out real-name authentication or binding cell-phone number.
For the preliminary definition of false amount user are as follows: only carried out game installation, there is no continuous online number of days, peace The online hours on the dress same day are no more than half an hour, and without any charging information, the low fighting capacity of grade is not high in user's game, user End equipment is simulator or low side type, and user only has click behavior in screen, and sliding behavior does not have substantially, can sentence Break to be the user for carrying out team control using script.
The detection for the CPU architecture mentioned in above-described embodiment mainly for mobile phone Unique Device identification code (IOS IDFA, Android type is IMEI or android_ID), mobile phone IP address and mobile phone User-Agent.
In a specific embodiment, game role information include role ID, role's title, area takes ID, area takes title, Role hierarchy, fighting capacity number, high ladder ranking and arena ranking etc..
In a specific embodiment, it is that active user delimit user tag building module 1 that user tag, which delimit module 8, In corresponding label when, delimit foundation are as follows: when the quantity of "No" in testing result be greater than or equal to 3 when, by active user draw It is set to false amount user tag otherwise to delimit active user for normal users label.To the number of "Yes" in testing result and "No" During amount is counted, it is to be counted as unit of individual module, sentences for existing simultaneously two in a module The case where other process, needing two differentiation processes is "Yes", is as a result only "Yes", is simply by the presence of a differentiation process "No", obtained differentiation result is "No".
In some embodiments, it is corresponding in active user's delimitation user tag building module 1 that user tag, which delimit module 8, Label when, delimit according to can also according to testing result in the quantity of "Yes" counted, when the number of "Yes" in testing result When amount is less than or equal to 2, it is otherwise false amount user tag delimit active user for normal users that active user, which delimited, Label.
In a specific embodiment, above-mentioned Android game user behavior analysis system further includes data management mould Block 9, data management module 9 by game role detection module 2, gesture coordinate measurement module 3, ustomer premises access equipment detection module 4, step on Record duration detection module 5 and the data that behavioral value module 6 detects of paying carry out real-time storage and periodically report to service Device.
Specifically, data management module 9 can transmit local information by timing heart beat interface in the present embodiment, will include Players' user informations such as ustomer premises access equipment information, user gesture delta data and log log, when player carries out game, every 5 Packet server is primary on minute, guarantees the real-time of data.
On the other hand, the embodiment of the invention also provides a kind of Android game user behavior analysis method, this method makes With a kind of above-mentioned Android game user behavior analysis system, realizes user tag building, the detection of a variety of user behaviors and divide The functions such as analysis and user tag delimitation.
In actual application, it launches optimization teacher and leads meter stroke according to newly-built media, provided accordingly by channel It is (false to measure user's ratio not to observe the ratio with false amount user tag in the player that the amount of leading is come by week age for data analysis Plan is launched more than 10% to be normal), corresponding instruction is provided to corresponding media plans, malice brush amount can be evaded The dispensing cost of company is saved in behavior.
The embodiment of the present invention, which discloses, provides a kind of Android game user behavior analysis system, which passes through preparatory User tag established to registration user, and by a variety of game behaviors and the detection of ustomer premises access equipment and analysis to user, User delimited to corresponding user tag, to complete the analysis to Android game user behavior, which can be accurate Mark off false amount user, it is convenient brush registered to brush click gain the false amount user of putting expense by cheating and be managed.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part It is bright.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein General Principle can be realized in other embodiments without departing from the spirit or scope of the present invention.Therefore, of the invention It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one The widest scope of cause.

Claims (5)

1. a kind of Android game user behavior analysis system characterized by comprising
User tag constructs module, and the user tag building module is that the user that the media amount of leading constructs two class labels in advance: Normal users label and false amount user tag;
Game role detection module, the game role detection module are for detecting online hours after user registers login for the first time It is no at 10 minutes or more, and whether game role information changes;
Gesture coordinate measurement module is when gesture coordinate measurement module detection user clicks the same button inside game No clicked in identical coordinate position;
Ustomer premises access equipment detection module, the ustomer premises access equipment detection module be used for detect ustomer premises access equipment installation CPU whether CPU architecture based on ARM, and whether at least one in the two applications of wechat and Alipay is installed on ustomer premises access equipment;
Log duration detection module, the log duration detection module is used to detect to be logged within the latter week of user's registration account Whether number of days is greater than 2 days;
It pays behavioral value module, whether the payment behavioral value module, which is used to detect after user's registration to have within 7 days, fills Value behavior;
Analysis and distinguishing module, the analysis and distinguishing module is for receiving the game role detection module, gesture coordinate measurement mould Block, ustomer premises access equipment detection module, log duration detection module and behavioral value module of paying testing result information, and unite Count the quantity of "Yes" and the quantity of "No" in testing result;
User tag delimit module, and the user tag delimit module according to the analysis and distinguishing module to the statistics of testing result Data are that active user delimit corresponding label in the user tag building module.
2. a kind of Android game user behavior analysis system according to claim 1, which is characterized in that the game Role Information includes role ID, role's title, area takes ID, area takes title, role hierarchy, fighting capacity number, high ladder ranking and competing Skill field ranking.
3. a kind of Android game user behavior analysis system according to claim 1, which is characterized in that the user Label delimit module when corresponding label, to delimit foundation are as follows: work as inspection in active user's delimitation user tag building module When surveying the quantity of "No" in result more than or equal to 3, it is otherwise false amount user tag will be used currently that active user, which delimited, It is normal users label that family, which delimited,.
4. a kind of Android game user behavior analysis system according to claim 1, which is characterized in that further include number According to management module, the data management module is by the game role detection module, gesture coordinate measurement module, ustomer premises access equipment Detection module, log duration detection module and the data that detect of payment behavioral value module carry out real-time storage and periodically on It reports to server.
5. a kind of Android game user behavior analysis method, which is characterized in that this method uses any one of claim 1-4 A kind of Android game user behavior analysis system.
CN201910428438.2A 2019-05-22 2019-05-22 A kind of Android game user behavior analysis system and method Pending CN110227269A (en)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20090020065A (en) * 2007-08-22 2009-02-26 주식회사 아이지에이웍스 System and method for interactive advertisement during game play
CN105956873A (en) * 2016-04-08 2016-09-21 杭州碧游信息技术有限公司 Game data intelligent analysis method
CN106504099A (en) * 2015-09-07 2017-03-15 国家计算机网络与信息安全管理中心 A kind of system for building user's portrait
CN106612202A (en) * 2015-10-27 2017-05-03 网易(杭州)网络有限公司 Method and system for pre-estimate and judgment of amount brushing of online game channel
CN108053247A (en) * 2017-12-15 2018-05-18 北京知道创宇信息技术有限公司 A kind of false amount identification model generation method, false amount recognition methods and computing device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20090020065A (en) * 2007-08-22 2009-02-26 주식회사 아이지에이웍스 System and method for interactive advertisement during game play
CN106504099A (en) * 2015-09-07 2017-03-15 国家计算机网络与信息安全管理中心 A kind of system for building user's portrait
CN106612202A (en) * 2015-10-27 2017-05-03 网易(杭州)网络有限公司 Method and system for pre-estimate and judgment of amount brushing of online game channel
CN105956873A (en) * 2016-04-08 2016-09-21 杭州碧游信息技术有限公司 Game data intelligent analysis method
CN108053247A (en) * 2017-12-15 2018-05-18 北京知道创宇信息技术有限公司 A kind of false amount identification model generation method, false amount recognition methods and computing device

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Application publication date: 20190913

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