CN110507997A - A kind of user behavior analysis method and system - Google Patents

A kind of user behavior analysis method and system Download PDF

Info

Publication number
CN110507997A
CN110507997A CN201910741253.7A CN201910741253A CN110507997A CN 110507997 A CN110507997 A CN 110507997A CN 201910741253 A CN201910741253 A CN 201910741253A CN 110507997 A CN110507997 A CN 110507997A
Authority
CN
China
Prior art keywords
data
user behavior
user
behavior analysis
project staff
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910741253.7A
Other languages
Chinese (zh)
Inventor
徐白鹿
卢浩发
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Clownfish Information Technology Co Ltd
Original Assignee
Guangzhou Clownfish Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Clownfish Information Technology Co Ltd filed Critical Guangzhou Clownfish Information Technology Co Ltd
Priority to CN201910741253.7A priority Critical patent/CN110507997A/en
Publication of CN110507997A publication Critical patent/CN110507997A/en
Pending legal-status Critical Current

Links

Classifications

    • 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

Landscapes

  • 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 present invention relates to the technical fields of software development, more particularly, to a kind of user behavior analysis method and system, user behavior analysis method includes: S10: setting user behavior data collection model, and this obtains user behavior data according to the user behavior data collection model;S20: the user behavior data is stored into database;S30: if getting user behavior analysis message, user data to be obtained is obtained from the user behavior analysis;S40: the user behavior data is obtained according to the user data to be obtained from the database, is sent to planning client.The present invention has and can be analyzed according to the behavior of user, convenient for the effect to program planning.

Description

A kind of user behavior analysis method and system
Technical field
The present invention relates to the technical fields of software development, more particularly, to a kind of user behavior analysis method and system.
Background technique
Currently, with the continuous progress of science and technology, people's lives are gradually promoted, the mobile terminals such as mobile phone, tablet computer are set Standby fast-developing, mobile phone, tablet computer already take up people and live critically important status, live including various abundant people Software, such as mobile phone games.
In the operation of the existing online game to mobile phone or computer, in order to increase the playability of online game, enhancing is used The viscosity at family can increase or modify some activities newly.And when planning these activities, often it is difficult to coincide with most of user, from And it will lead to the customer churn of online game, therefore there are also improve space.
Summary of the invention
The object of the present invention is to provide one kind to be analyzed according to the behavior of user, convenient for the user to program planning Behavior analysis method and system.
Foregoing invention purpose one of the invention has the technical scheme that
A kind of user behavior analysis method, which is characterized in that the user behavior analysis method includes:
S10: setting user behavior data collection model, and this obtains user behavior according to the user behavior data collection model Data;
S20: the user behavior data is stored into database;
S30: if getting user behavior analysis message, user data to be obtained is obtained from the user behavior analysis;
S40: obtaining the user behavior data according to the user data to be obtained from the database, is sent to planning visitor Family end.
It, can be convenient for acquisition by being previously provided with user behavior data collection model by using above-mentioned technical proposal User behavior data, and can be modified to the user behavior data collection model, in turn according to the practical operation situation of software It can guarantee the integrality of the user behavior data of acquisition;By storing collected user behavior data into database, It can be convenient for the subsequent analysis to user behavior;When getting user behavior analysis message, disappeared according to the user behavior analysis Breath, obtains corresponding user behavior data, and the user behavior analysis data are sent to the plan of project staff from database Client is drawn, and then can aid in project staff according to actual needs, the behavior of user when analysis online game is run, in turn Operation reserve can be adjusted in time in customer churn, extend the life cycle of the online game.
The present invention is further arranged to: the S10 includes:
S11: obtaining data and acquire latitude data, acquires latitude data according to the data and the user behavior data acquisition is arranged Model;
S12: latitude data is acquired using the data in the user behavior data collection model, obtains corresponding user's row For data.
By using above-mentioned technical proposal, latitude data is acquired by setting data, and acquire latitude number according to the data According to setting user behavior data collection model, so that increasing the data acquired by the user behavior data collection model Abundant degree, facilitate project staff when needing to analyze user behavior, acquire corresponding data in time.
The present invention is further arranged to: step S30 includes:
S31: data acquisition type is obtained from the user behavior analysis message;
S32: the user data to be obtained is obtained according to the data acquisition type.
The data acquisition type is set when triggering the user behavior analysis message by using above-mentioned technical proposal, It enables to acquire corresponding data when analyzing user behavior, avoids result in and more analyze result in no acquirement In the case where, obtaining excessive data leads to the workload for increasing project staff;Also avoiding obtaining very few data simultaneously causes The inaccurate situation of analysis result.
The present invention is further arranged to: step S40 includes:
S41: classified according to the user behavior analysis message to the user behavior data, obtain data to be analyzed;
S42: the data to be analyzed are sent to the planning client.
By using above-mentioned technical proposal, by the way that user behavior data is classified according to user behavior analysis message, Data to be analyzed are obtained, enables to project staff when analyzing user behavior data, is analyzed from all kinds of data, into And facilitates project staff and obtain more accurately analyzing result.
The present invention is further arranged to: step S42 includes:
S421: project staff's list data is obtained;
S422: project staff's mark is obtained from project staff's list data, and is identified according to the project staff, by institute It states data to be analyzed and is sent to the planning client.
By using above-mentioned technical proposal, by obtaining project staff's list data, which is sent to pair In the planning client of the project staff answered, accurate data can be sent to corresponding personnel, can also in this way, The data to be analyzed of corresponding types are sent at corresponding project staff, help to analyze user behavior.
Foregoing invention purpose two of the invention has the technical scheme that
A kind of user behavior analysis system, which is characterized in that the user behavior analysis system includes:
Model acquisition module, for user behavior data collection model to be arranged, and this acquires mould according to the user behavior data Type obtains user behavior data;
Memory module, for storing the user behavior data into database;
Data acquisition module, if being obtained from the user behavior analysis wait obtain for getting user behavior analysis message Take user data;
Data transmission blocks, for obtaining the user behavior number from the database according to the user data to be obtained According to being sent to planning client.
It, can be convenient for acquisition by being previously provided with user behavior data collection model by using above-mentioned technical proposal User behavior data, and can be modified to the user behavior data collection model, in turn according to the practical operation situation of software It can guarantee the integrality of the user behavior data of acquisition;By storing collected user behavior data into database, It can be convenient for the subsequent analysis to user behavior;When getting user behavior analysis message, disappeared according to the user behavior analysis Breath, obtains corresponding user behavior data, and the user behavior analysis data are sent to the plan of project staff from database Client is drawn, and then can aid in project staff according to actual needs, the behavior of user when analysis online game is run, in turn Operation reserve can be adjusted in time in customer churn, extend the life cycle of the online game.
In conclusion advantageous effects of the invention are as follows:
1. can be convenient for obtaining user behavior data, and can be according to soft by being previously provided with user behavior data collection model The practical operation situation of part modifies to the user behavior data collection model, and then can guarantee the user behavior of acquisition The integrality of data;
2. the subsequent analysis to user behavior can be convenient for by storing collected user behavior data into database; When getting user behavior analysis message, according to the user behavior analysis message, corresponding user's row is obtained from database For data, and the user behavior analysis data are sent to the planning client of project staff, and then can aid in plotter Member according to actual needs, analyzes the behavior of user when online game is run, and then operation can be adjusted in time in customer churn Strategy extends the life cycle of the online game.
Detailed description of the invention
Fig. 1 is a flow chart of user behavior analysis method in one embodiment of the invention;
Fig. 2 is the implementation flow chart of step S10 in user behavior analysis method in one embodiment of the invention;
Fig. 3 is the implementation flow chart of step S30 in user behavior analysis method in one embodiment of the invention;
Fig. 4 is the implementation flow chart of step S40 in user behavior analysis method in one embodiment of the invention;
Fig. 5 is the implementation flow chart of step S43 in user behavior analysis method in one embodiment of the invention;
Fig. 6 is a functional block diagram of user behavior analysis system in one embodiment of the invention.
Specific embodiment
Below in conjunction with attached drawing, invention is further described in detail.
Embodiment one:
In one embodiment, as shown in Figure 1, specifically comprising the following steps: the invention discloses a kind of user behavior analysis method
S10: setting user behavior data collection model, and this obtains user behavior number according to user behavior data collection model According to.
In the present embodiment, user behavior data collection model, which refers to, pre-sets, for acquiring user using same The model of behavior in money online game.User behavior data refers to the operation row that user carries out in a online game For.Wherein, which can be the row such as activity, task and offline time in the online game of user's participation For.
Specifically, the type for needing the data of the user behavior acquired is being set, and the type is integrated into the user Behavioral data collection model.Further, using the user behavior data collection model, in this online game, acquisition is each User behavior data of a user in the online game.It should be noted that according to different online games, adaptability is set Different user behavior data collection models is set, to adapt to different network game.
S20: user behavior data is stored into database.
In the present embodiment, database refers to the database for storing user behavior data.
Specifically, this user behavior data is stored into the database, and use is for distinguishing the trip of this network The user behavior data is marked in the mark of play.
S30: if getting user behavior analysis message, user data to be obtained is obtained from user behavior analysis.
In the present embodiment, user behavior analysis message, which refers to, needs to divide user in the behavior of this online game The message of analysis.User data to be obtained refers to the user behavior data that needs obtain.
Specifically, when project staff needs to analyze the user behavior of this online game, by need to obtain User data to be obtained forms the user behavior analysis message.Project staff can release a new work in this online game After dynamic or task, and the user behavior analysis message is triggered during this new activity or task, is participated in for analyzing user The quantity of the activity or task, and participate in the occupation of virtual role of the user of the activity or task in this online game With the data such as grade.
S40: user behavior data is obtained from database according to user data to be obtained, is sent to planning client.
In the present embodiment, planning client refers to project staff for receiving the terminal device of the user behavior data.
Specifically, according to user data to be obtained, corresponding user behavior data is obtained from database, and by the user Behavioral data is sent to planning client.
Further, after project staff receives the planning client, the activity or task of release can be analyzed, is participated in User quantity, the user of most quantity participates in the period of the activity or task, and the user of participation is in the online game Occupation and the data such as grade;It can also continue the offline time according to user, determine that the user is to be lost user.
Further, project staff can be by determining to be lost user in the offline preceding activity or task participated in, if having big The user of amount is judged as being lost user after participating in the activity or task, so facilitate project staff analyze the activity or Whether task goes wrong;Meanwhile if there are be partially lost user after releasing new activity or task or new playing method Again the online game is logged in, and participates in the new activity or task or new playing method, it helps project staff's summing up experience, The online game, or the online game that planning is new can preferably be optimized.
It in the present embodiment, can be convenient for acquisition user behavior by being previously provided with user behavior data collection model Data, and can be modified to the user behavior data collection model, and then can guarantee according to the practical operation situation of software The integrality of the user behavior data of acquisition;By storing collected user behavior data into database, can be convenient for The subsequent analysis to user behavior;When getting user behavior analysis message, according to the user behavior analysis message, from data Corresponding user behavior data is obtained in library, and the user behavior analysis data are sent to the planning client of project staff, And then can aid in project staff according to actual needs, analysis online game operation when user behavior, and then can with Family adjusts operation reserve when being lost in time, extends the life cycle of the online game.
In one embodiment, as shown in Fig. 2, in step slo, that is, user behavior data collection model, and the root is arranged User behavior data is obtained according to user behavior data collection model, is specifically comprised the following steps:
S11: obtaining data and acquire latitude data, acquires latitude data according to data and user behavior data collection model is arranged.
In the present embodiment, data acquisition latitude data refers to the type of the behavioral data for the user that needs acquire.
Specifically, according to different online games, there is project staff's setting with every amount of money according to acquisition latitude data.Further Ground acquires latitude data according to the data, forms the user behavior data collection model.
S12: latitude data is acquired using the data in user behavior data collection model, obtains corresponding user behavior number According to.
Specifically, after acquiring the user behavior data collection model, the user behavior data collection model is used Corresponding user behavior data is obtained in the online game.
It should be noted that after setting data acquisition latitude data, the user's row that can analyze according to actual needs For data, the data of corresponding latitude are chosen from data acquisition latitude data, and then form use corresponding with the actual conditions Family behavioral data collection model.For example, project staff needs to analyze the case where customer churn, then can be acquired from the data Be judged to being lost in selecting step S40 in latitude data the virtual role that user registers in the network game occupation, etc. Grade and it is last online when the user behavior datas such as the activity that participates in.Preferably, when getting user behavior data, for etc. The grade higher user of the amount of money that is higher, or being supplemented with money, corresponding weight can be added in the user behavior data, make score It analyses obtained data and is more advantageous to the subsequent optimization to the online game.
In one embodiment, as shown in figure 3, in step s 30, even getting user behavior analysis message, then from User data to be obtained is obtained in the behavioural analysis of family, is specifically comprised the following steps:
S31: data acquisition type is obtained from user behavior analysis message.
In the present embodiment, data acquisition type refers to the type for the user behavior data for specifically needing to obtain.
Specifically, according to step S12, the data acquisition type is arranged in the scene that project staff analyzes according to actual needs, And then it forms and triggers the customer analysis message.
Further, it after the customer analysis message for getting project staff's triggering, is obtained from the customer analysis message The data acquisition type.
S32: user data to be obtained is obtained according to data acquisition type.
Specifically, the unique identification that the network game is obtained from the data acquisition type, using the unique identification from number According to obtaining the corresponding user behavior data of this online game in library.Further, it is obtained and is corresponded to according to the data acquisition type Data, as the user data to be obtained.
In one embodiment, as shown in figure 4, in step s 40, i.e., being obtained from database according to user data to be obtained User behavior data is sent to planning client, specifically comprises the following steps:
S41: classifying to user behavior data according to user behavior analysis message, obtains data to be analyzed.
In the present embodiment, data to be analyzed refer to the user behavior data that project staff is analyzed.
Specifically, according to the data acquisition type in user behavior analysis message, identical data acquisition type will be used User behavior data be divided into one kind, and be marked using computer recognizable character string.By every a kind of marked use Family behavioral data is as data to be analyzed.
S42: data are analysed to and are sent to planning client.
Further, by obtaining the list of project staff, which is sent to and project staff's list Corresponding planning client.
In one embodiment, as shown in figure 5, in step S42, that is, data is analysed to and are sent to planning client, had Body includes the following steps:
S421: project staff's list data is obtained.
In the present embodiment, project staff's list data refers to that record has and is responsible for planning and optimizing the online game The data form of staff list.
Specifically, the project staff's list data for being responsible for this online game is obtained.
S422: project staff's mark is obtained from project staff's list data, and is identified according to project staff, is analysed to Data are sent to planning client.
In the present embodiment, project staff's mark refers to character or character string for distinguishing each project staff.Specifically Ground, obtains project staff's mark of each project staff from project staff's list data, and is identified by the project staff Corresponding planning client account is obtained, and the data to be analyzed are sent to planning client, enables project staff to this Data to be analyzed are analyzed accordingly.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit It is fixed.
Embodiment two:
In one embodiment, a kind of user behavior analysis system is provided, is used in the user behavior analysis system and above-described embodiment Family behavior analysis method corresponds.As shown in fig. 6, the user behavior analysis system includes model acquisition module 10, storage mould Block 20, data acquisition module 30 and data transmission blocks 40.Detailed description are as follows for each functional module:
Model acquisition module 10, for being arranged user behavior data collection model, and this is according to user behavior data collection model Obtain user behavior data;
Memory module 20, for storing user behavior data into database;
Data acquisition module 30, if being obtained from user behavior analysis to be obtained for getting user behavior analysis message User data;
Data transmission blocks 40 are sent to plan for obtaining user behavior data from database according to user data to be obtained Draw client.
Preferably, model acquisition module 10 includes:
Submodule 11 is arranged in latitude, for obtaining data acquisition latitude data, acquires latitude data according to data and user's row is arranged For data collecting model;
Model acquires submodule 12, for using the data in user behavior data collection model to acquire latitude data, acquisition pair The user behavior data answered.
Preferably, data acquisition module 30 includes:
Categorical data acquisition submodule 31, for obtaining data acquisition type from user behavior analysis message;
Data acquisition submodule 32, for obtaining user data to be obtained according to data acquisition type.
Preferably, data transmission blocks 40 include:
Categorization module 41 obtains data to be analyzed for classifying according to user behavior analysis message to user behavior data;
Data sending submodule 42 is sent to planning client for being analysed to data.
Preferably, data sending submodule 42 includes:
List data acquiring unit 421, for obtaining project staff's list data;
Transmission unit 422 for obtaining project staff's mark from project staff's list data, and is identified according to project staff, It is analysed to data and is sent to planning client.
Specific about user behavior analysis system limits the limit that may refer to above for user behavior analysis method Fixed, details are not described herein.Modules in above-mentioned user behavior analysis system can fully or partially through software, hardware and its Combination is to realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also be with It is stored in the memory in computer equipment in a software form, in order to which processor calls the above modules of execution corresponding Operation.

Claims (10)

1. a kind of user behavior analysis method, which is characterized in that the user behavior analysis method includes:
S10: setting user behavior data collection model, and this obtains user behavior according to the user behavior data collection model Data;
S20: the user behavior data is stored into database;
S30: if getting user behavior analysis message, user data to be obtained is obtained from the user behavior analysis;
S40: obtaining the user behavior data according to the user data to be obtained from the database, is sent to planning visitor Family end.
2. user behavior analysis method as described in claim 1, which is characterized in that step S10 includes:
S11: obtaining data and acquire latitude data, acquires latitude data according to the data and the user behavior data acquisition is arranged Model;
S12: latitude data is acquired using the data in the user behavior data collection model, obtains corresponding user's row For data.
3. user behavior analysis method as described in claim 1, which is characterized in that step S30 includes:
S31: data acquisition type is obtained from the user behavior analysis message;
S32: the user data to be obtained is obtained according to the data acquisition type.
4. user behavior analysis method as described in claim 1, which is characterized in that step S40 includes:
S41: classified according to the user behavior analysis message to the user behavior data, obtain data to be analyzed;
S42: the data to be analyzed are sent to the planning client.
5. user behavior analysis method as claimed in claim 4, which is characterized in that step S42 includes:
S421: project staff's list data is obtained;
S422: project staff's mark is obtained from project staff's list data, and is identified according to the project staff, by institute It states data to be analyzed and is sent to the planning client.
6. a kind of user behavior analysis system, which is characterized in that the user behavior analysis system includes:
Model acquisition module, for user behavior data collection model to be arranged, and this acquires mould according to the user behavior data Type obtains user behavior data;
Memory module, for storing the user behavior data into database;
Data acquisition module, if being obtained from the user behavior analysis wait obtain for getting user behavior analysis message Take user data;
Data transmission blocks, for obtaining the user behavior number from the database according to the user data to be obtained According to being sent to planning client.
7. user behavior analysis system as claimed in claim 6, which is characterized in that the model acquisition module includes:
Submodule is arranged in latitude, for obtaining data acquisition latitude data, according to data acquisition latitude data setting User behavior data collection model;
Model acquires submodule, for using the data in the user behavior data collection model to acquire latitude data, Obtain corresponding user behavior data.
8. user behavior analysis system as claimed in claim 6, which is characterized in that the data acquisition module includes:
Categorical data acquisition submodule, for obtaining data acquisition type from the user behavior analysis message;
Data acquisition submodule, for obtaining the user data to be obtained according to the data acquisition type.
9. user behavior analysis system as claimed in claim 6, which is characterized in that the data transmission blocks include:
Categorization module is obtained for being classified according to the user behavior analysis message to the user behavior data wait divide Analyse data;
Data sending submodule, for the data to be analyzed to be sent to the planning client.
10. user behavior analysis system as claimed in claim 6, which is characterized in that the data sending submodule includes:
List data acquiring unit, for obtaining project staff's list data;
Transmission unit, for obtaining project staff's mark from project staff's list data, and according to the project staff The data to be analyzed are sent to the planning client by mark.
CN201910741253.7A 2019-08-12 2019-08-12 A kind of user behavior analysis method and system Pending CN110507997A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910741253.7A CN110507997A (en) 2019-08-12 2019-08-12 A kind of user behavior analysis method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910741253.7A CN110507997A (en) 2019-08-12 2019-08-12 A kind of user behavior analysis method and system

Publications (1)

Publication Number Publication Date
CN110507997A true CN110507997A (en) 2019-11-29

Family

ID=68624550

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910741253.7A Pending CN110507997A (en) 2019-08-12 2019-08-12 A kind of user behavior analysis method and system

Country Status (1)

Country Link
CN (1) CN110507997A (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009103820A1 (en) * 2008-02-22 2009-08-27 Monet Dominique Helene Beatric Systems and methods for acquiring, collecting and processing data relating to remotely or locally accessed electronic documents or applications
CN103366020A (en) * 2013-08-06 2013-10-23 刘临 System and method for analyzing user behaviors
CN103761296A (en) * 2014-01-20 2014-04-30 北京集奥聚合科技有限公司 Method and system for analyzing network behaviors of mobile terminal users
CN104462213A (en) * 2014-12-05 2015-03-25 成都逸动无限网络科技有限公司 User behavior analysis method and system based on big data
CN106372133A (en) * 2016-08-19 2017-02-01 苏州七彩部落网络科技有限公司 Big data-based user behavior analysis processing method and system
CN107103038A (en) * 2017-03-24 2017-08-29 武汉理工数字传播工程有限公司 A kind of Subject Selection system based on big data
CN109492864A (en) * 2018-09-29 2019-03-19 广东智合创享营销策划有限公司 A kind of campaign management system and its management analysis method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2009103820A1 (en) * 2008-02-22 2009-08-27 Monet Dominique Helene Beatric Systems and methods for acquiring, collecting and processing data relating to remotely or locally accessed electronic documents or applications
CN103366020A (en) * 2013-08-06 2013-10-23 刘临 System and method for analyzing user behaviors
CN103761296A (en) * 2014-01-20 2014-04-30 北京集奥聚合科技有限公司 Method and system for analyzing network behaviors of mobile terminal users
CN104462213A (en) * 2014-12-05 2015-03-25 成都逸动无限网络科技有限公司 User behavior analysis method and system based on big data
CN106372133A (en) * 2016-08-19 2017-02-01 苏州七彩部落网络科技有限公司 Big data-based user behavior analysis processing method and system
CN107103038A (en) * 2017-03-24 2017-08-29 武汉理工数字传播工程有限公司 A kind of Subject Selection system based on big data
CN109492864A (en) * 2018-09-29 2019-03-19 广东智合创享营销策划有限公司 A kind of campaign management system and its management analysis method

Similar Documents

Publication Publication Date Title
CN107025165B (en) Game automation test method and related device
CN108066989B (en) Random matching team forming method and device and application server
CN104778173B (en) Target user determination method, device and equipment
CN106776253A (en) A kind of interface interim card monitoring method and device
CN106970875B (en) The frame per second test method and its system of virtual reality software
El-Nasr et al. Game data science
CN110263871B (en) Step-counting cheating detection method and device, intelligent terminal and storage medium
CN108579095A (en) Social networks in game recommend method, apparatus and computer readable storage medium
CN111035934A (en) Game teaching method, device, electronic equipment and storage medium
CN110339571A (en) Event generation method and device, storage medium and electronic device
CN102082694A (en) Application evaluation method and application server
CN110796591B (en) GPU card using method and related equipment
CN114024737B (en) Method, apparatus and computer readable storage medium for determining live room volume
CN111389013A (en) Automatic hang detection method, device, equipment and storage medium in game
Rossberg et al. An explanatory model for food-web structure and evolution
CN108595312A (en) A kind of automatic performance method and device of modelling customer behavior
CN105139122B (en) The statistical method and system of program operation duration
CN110427998A (en) Model training, object detection method and device, electronic equipment, storage medium
CN110188123A (en) User matching method and equipment
CN104156308A (en) Mobile application testing method on basis of playback of execution trace of users
CN108765011A (en) Method and apparatus for creating user portrayal and creating state information analysis model
CN110507997A (en) A kind of user behavior analysis method and system
CN111522722B (en) Data analysis method, electronic equipment and storage medium
CN111382263B (en) Data processing method, device and system
CN112800146B (en) Backtracking method and device of wind control data, storage medium and processor

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20191129

RJ01 Rejection of invention patent application after publication