CN113253976B - Game record analysis-based research and development module construction method and system - Google Patents
Game record analysis-based research and development module construction method and system Download PDFInfo
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Abstract
The invention discloses a research and development module construction method and a system based on game record analysis, which are used for obtaining game records of users; obtaining a first user score according to the user game record; when a first preset threshold value is met, a first failure result information set is obtained, the first failure result information is classified, and a failure information classification result is obtained; when the failure information classification reaches a second preset threshold value, obtaining first equipment characteristic information according to the first matching equipment; classifying according to the first failure information to obtain failure factor information; inputting the first equipment characteristic information and the failure factor information into an equipment analysis model to obtain a first analysis result; obtaining first matching function information according to the first analysis result and a preset function database; and constructing first user development information according to the first matching function information and the first matching equipment. The technical problem that the personalized customized research and development content of a player is lacked due to the fact that the upgrading of the game virtual equipment is developed according to the fixed content of the game is solved.
Description
Technical Field
The invention relates to the field related to data analysis, in particular to a method and a system for constructing a research and development module based on game record analysis.
Background
From the game technology, the computer game is realized in a human-computer interaction mode by taking a computer as an operation platform, and can embody a new form of entertainment mode with higher level of the current computer technology. Computer games are an entertainment culture product that allows players to pursue a certain goal, from the perspective of game content, and to obtain a certain "winning" experience. Some refer to games as the 9 th art in human history following painting, carving, construction, music, poetry (literature), dance, drama, movie. Computer games, as a software, also require a common indicator of software. In the game, people combine personal operation ability to complete game objects by operating target objects such as devices or characters in the game, and the performance of the target objects plays an important role in the game result in the process and is also concerned by game participants.
However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application find that the above-mentioned technology has at least the following technical problems:
in the prior art, the upgrading of the game virtual equipment is developed according to the fixed content of the game, and the technical problem that the personalized customized content development and development of players is lacked exists.
Disclosure of Invention
The embodiment of the application provides a method and a system for constructing a research and development module based on game record analysis, and solves the technical problem that in the prior art, the upgrading of game virtual equipment is researched and developed according to the fixed content of a game, and the personalized and customized research and development content of a player is lacked. The method achieves the technical effects of analyzing the fighting conditions of the virtual equipment according to the game records of the users, constructing a corresponding module for upgrading the equipment, meeting the operating characteristics of different game users, increasing the upgrading experience of the users, improving the data operation efficiency and accuracy by using the neural network model, and providing all-around game guidance for the game users.
In view of the foregoing problems, the embodiments of the present application provide a method and a system for constructing a development module based on game record analysis.
In a first aspect, the present application provides a method for constructing a research and development module based on game record analysis, where the method includes: obtaining analysis time information; obtaining a game record of a first user according to the analysis time information; obtaining a first user score according to the game record of the first user; when the first user score meets a first preset threshold value, obtaining a first failure score information set according to the game record of the first user, wherein the first failure score information comprises first equipment information, first game level information and first failure time; classifying all first failure score information according to the first equipment information and the first game stage information to obtain failure information classification results; when a first failure information classification reaches a second preset threshold value in the failure information classification result, obtaining first matching equipment according to the first failure information classification; acquiring first equipment characteristic information according to the first matching equipment; classifying according to the first failure information to obtain failure factor information; inputting the first equipment characteristic information and the failure factor information into an equipment analysis model to obtain a first analysis result; acquiring a preset function database; obtaining first matching function information according to the first analysis result and the preset function database, wherein the first matching function information comprises at least one piece of matching function information, and generating a first game analysis report according to the first analysis result, the first matching function information and the failure factor information and sending the first game analysis report to a first user; and constructing first user development information according to the first matching function information and the first matching equipment.
On the other hand, the application also provides a development module construction system based on game record analysis, and the system comprises:
a first obtaining unit configured to obtain analysis time information;
a second obtaining unit, configured to obtain a game record of the first user according to the analysis time information;
a third obtaining unit, configured to obtain a first user score according to the game record of the first user;
a fourth obtaining unit, configured to obtain a first failure score information set according to a game record of the first user when the first user score meets a first predetermined threshold, where the first failure score information includes first device information, first game level information, and first failure time;
a fifth obtaining unit, configured to classify all pieces of first failure result information according to the first device information and the first game level information, and obtain a failure information classification result;
a sixth obtaining unit, configured to, when there is a first failure information classification in the failure information classification result that reaches a second predetermined threshold, obtain a first matching device according to the first failure information classification;
a seventh obtaining unit, configured to obtain first device feature information according to the first matching device;
an eighth obtaining unit, configured to obtain failure factor information according to the first failure information classification;
the first execution unit is used for inputting the first equipment characteristic information and the failure factor information into an equipment analysis model to obtain a first analysis result;
a ninth obtaining unit, configured to obtain a preset function database;
a tenth obtaining unit, configured to obtain first matching function information according to the first analysis result and the preset function database, where the first matching function information includes at least one piece of matching function information;
the first construction unit is used for constructing first user research information according to the first matching function information and the first matching equipment.
In a third aspect, the present invention provides a development module construction system based on game record analysis, including a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method according to the first aspect when executing the program.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
according to the method and the system for constructing the research and development module based on game record analysis, provided by the embodiment of the invention, analysis time information is obtained; obtaining a game record of a first user according to the analysis time information; obtaining a first user score according to the game record of the first user; when the first user score meets a first preset threshold value, obtaining a first failure score information set according to the game record of the first user, wherein the first failure score information comprises first equipment information, first game level information and first failure time; classifying all first failure score information according to the first equipment information and the first game stage information to obtain failure information classification results; when a first failure information classification reaches a second preset threshold value in the failure information classification result, obtaining first matching equipment according to the first failure information classification; acquiring first equipment characteristic information according to the first matching equipment; classifying according to the first failure information to obtain failure factor information; inputting the first equipment characteristic information and the failure factor information into an equipment analysis model to obtain a first analysis result; acquiring a preset function database; obtaining first matching function information according to the first analysis result and the preset function database, wherein the first matching function information comprises at least one piece of matching function information, and generating a first game analysis report according to the first analysis result, the first matching function information and the failure factor information and sending the first game analysis report to a first user; and constructing first user development information according to the first matching function information and the first matching equipment. The method and the device achieve the technical effects that the battle condition analysis of the virtual equipment is carried out according to the game records of the users, the corresponding module construction of equipment upgrading is carried out, the operating characteristics of different game users are met, the upgrading experience of the users is improved, meanwhile, the data operation efficiency and accuracy are improved by using the neural network model, and all-dimensional game guidance is provided for the game users, so that the technical problems that in the prior art, the upgrading of the game virtual equipment is researched and developed according to the fixed content of the game, and the personalized and customized research and development content of players is lacked are solved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
Drawings
FIG. 1 is a schematic flow chart of a development module construction method based on game record analysis according to an embodiment of the present application;
FIG. 2 is a schematic structural diagram of a development module construction system based on game record analysis according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an exemplary electronic device according to an embodiment of the present application.
Description of reference numerals: a first obtaining unit 11, a second obtaining unit 12, a third obtaining unit 13, a fourth obtaining unit 14, a fifth obtaining unit 15, a sixth obtaining unit 16, a seventh obtaining unit 17, an eighth obtaining unit 18, a first executing unit 19, a ninth obtaining unit 20, a tenth obtaining unit 21, a first constructing unit 22, a bus 300, a receiver 301, a processor 302, a transmitter 303, a memory 304, and a bus interface 305.
Detailed Description
The embodiment of the application provides a method and a system for constructing a research and development module based on game record analysis, and solves the technical problem that in the prior art, the upgrading of game virtual equipment is researched and developed according to the fixed content of a game, and the personalized and customized research and development content of a player is lacked. The method achieves the technical effects of analyzing the fighting conditions of the virtual equipment according to the game records of the users, constructing a corresponding module for upgrading the equipment, meeting the operating characteristics of different game users, increasing the upgrading experience of the users, improving the data operation efficiency and accuracy by using the neural network model, and providing all-around game guidance for the game users.
From the game technology, the computer game is realized in a human-computer interaction mode by taking a computer as an operation platform, and can embody a new form of entertainment mode with higher level of the current computer technology. Computer games are an entertainment culture product that allows players to pursue a certain goal, from the perspective of game content, and to obtain a certain "winning" experience. Some refer to games as the 9 th art in human history following painting, carving, construction, music, poetry (literature), dance, drama, movie. Computer games, as a software, also require a common indicator of software. In the game, people combine personal operation ability to complete game objects by operating target objects such as devices or characters in the game, and the performance of the target objects plays an important role in the game result in the process and is also concerned by game participants. However, in the prior art, the upgrading of the game virtual device is developed according to the fixed content of the game, and the technical problem that the personalized customized content development and development of the player is lacked exists.
In view of the above technical problems, the technical solution provided by the present application has the following general idea:
obtaining analysis time information; obtaining a game record of a first user according to the analysis time information; obtaining a first user score according to the game record of the first user; when the first user score meets a first preset threshold value, obtaining a first failure score information set according to the game record of the first user, wherein the first failure score information comprises first equipment information, first game level information and first failure time; classifying all first failure score information according to the first equipment information and the first game stage information to obtain failure information classification results; when a first failure information classification reaches a second preset threshold value in the failure information classification result, obtaining first matching equipment according to the first failure information classification; acquiring first equipment characteristic information according to the first matching equipment; classifying according to the first failure information to obtain failure factor information; inputting the first equipment characteristic information and the failure factor information into an equipment analysis model to obtain a first analysis result; acquiring a preset function database; obtaining first matching function information according to the first analysis result and the preset function database, wherein the first matching function information comprises at least one piece of matching function information, and generating a first game analysis report according to the first analysis result, the first matching function information and the failure factor information and sending the first game analysis report to a first user; and constructing first user development information according to the first matching function information and the first matching equipment. The method achieves the technical effects of analyzing the fighting conditions of the virtual equipment according to the game records of the users, constructing a corresponding module for upgrading the equipment, meeting the operating characteristics of different game users, increasing the upgrading experience of the users, improving the data operation efficiency and accuracy by using the neural network model, and providing all-around game guidance for the game users.
Having thus described the general principles of the present application, various non-limiting embodiments thereof will now be described in detail with reference to the accompanying drawings.
Example one
As shown in fig. 1, an embodiment of the present application provides a development module construction method based on game record analysis, where the method includes:
step S100: obtaining analysis time information;
specifically, the analysis time information is correspondingly set according to the type and the content of the game, if the content of the game is complex and the game result period is long, the analysis time information is correspondingly long, if the game content is short and the game result period is short, if fighting games are used, the winning or losing result can be obtained quickly, the period corresponding to the analysis time information is short, and the analysis time information is correspondingly set according to the game winning or losing efficiency, the upgrading speed and the game difficulty of players in the game. In the game, the terrain of the base can take different forms along with different gates, the number of enemy tanks can be increased along with the continuous deepening of the gates, the difficulty of the gate can be increased along with the increase of the number of the enemy tanks, and each gate can unlock the next gate after the required number of stars is obtained. At the end of the game, if all tanks of the enemy troops are destroyed, the game is passed successfully. In contrast, the player tank is shot and the game fails to pass. The game result is obtained quickly, so that the equipment upgrading research and development analysis can be carried out according to the user condition in a short period, the analysis time information can be set to be short, such as month and week, and the corresponding setting can be carried out according to the participation time period of the analysis user.
Step S200: obtaining a game record of a first user according to the analysis time information;
specifically, the game record of the user within the analysis time is obtained according to the analysis time information and the first user information, and the game record of the first user is all game processes and data records of the first user in the analysis time information, such as the participation time, the game result, the time of each game, the track in the participation process, the operation process and the like, so that the whole record information of the participation process of the user in the game can be mastered.
Step S300: obtaining a first user score according to the game record of the first user;
specifically, the score of the first user is the score, the number of wins and the number of failures of the first user obtained through statistics according to the game record of the first user. The first user achievement is used for reflecting the game result of the first user in the game record of the first user.
Step S400: when the first user score meets a first preset threshold value, obtaining a first failure score information set according to the game record of the first user, wherein the first failure score information comprises first equipment information, first game level information and first failure time;
further, the method comprises: obtaining first user grade information according to the game record of the first user; obtaining a first user pass-through rate mean value according to the first user grade information and the game record of the first user; obtaining a second game level; obtaining a level difficulty increasing weight according to the second game level and the game record of the first user; and obtaining the first preset threshold value according to the first user crossing rate average value and the barrier difficulty increasing weight value.
Specifically, if the first user score is lower than a first predetermined threshold, the first user may be analyzed and processed for upgrading the device, where the first predetermined threshold is obtained by analyzing the history of the first user and corresponds to the game level and the history game score of the first user, if the upgrading speed in the game in the history of the first user is fast, the score and the number of the winning fields are high, and the current analysis result is significantly lower than the previous level, that is, the current analysis result is not matched with the history information of the first user, and meanwhile, considering the level difficulty factor in consideration of whether the level difficulty is a cause of the level difficulty, considering the level difficulty factor, increasing the weight value of the level difficulty, considering the level difficulty ratio according to the level difficulty ratio between the previous level and the current second level, setting the first predetermined threshold, and if the first user score is lower than the first predetermined threshold, the user has encountered a problem at the level, certainly, the first user score is in the analysis time information, that is, there is a time requirement that the device is upgraded and developed only when the first user score is affected in the analysis time. At this point, statistical analysis is performed on the first user's failure records to determine the vulnerability of their gaming devices and the reason for the failure.
Step S500: classifying all first failure score information according to the first equipment information and the first game stage information to obtain failure information classification results;
step S600: when a first failure information classification reaches a second preset threshold value in the failure information classification result, obtaining first matching equipment according to the first failure information classification;
specifically, when failure information is analyzed, the failure information is classified according to the device information and the level information adopted by the user, and the information in which the same device and the same level are used is found for classification, so that each classification in the failure information classification result is a failure record with the same device and level, and thus the failure information classification method has higher analysis value. If the classified data reaches the second predetermined threshold, the classified data indicate that the user does not win any more attacks on the same used device, and at this time, the situation is analyzed, the first user is pushed to perform corresponding upgrading research and development, meanwhile, an analysis result is generated into a game analysis report and sent to the first user, and the first user can refer to the game analysis report. The second predetermined threshold may be set correspondingly according to the difficulty of the level and the level of the device, and if the difficulty of the level is high and the matching degree of the device used by the user meets the requirement, the second predetermined threshold may be set to have a high value, for example, 50 times, and is also related to the period of the game at present, and the threshold having a short period is high and the threshold having a long period is low.
Step S700: acquiring first equipment characteristic information according to the first matching equipment;
step S800: classifying according to the first failure information to obtain failure factor information;
further, the obtaining failure factor information according to the first failure information classification includes: classifying according to the first failure information to obtain a first classified game record; obtaining record format classification information according to the first classification game record; analyzing information according to the record format to obtain format characteristic information; inputting the format characteristic information and the first classified game record into a record content extraction model to obtain a game record classification information base; obtaining a classification analysis rule according to the game record classification information; and inputting the game record analysis information and the classification analysis rule into a record analysis model to obtain the failure factor information.
Specifically, the first matching device is device information used in the failure classification information, that is, a device to be upgraded is required, each device has a device attribute, a device feature, and a good/bad point, and the first device feature information is a feature of the first matching device, its attribute, battle effectiveness, good/bad performance, and move style, and the like. Analyzing failure factor information according to the first failure information classification, and mastering the time node and the fighting process of failure according to the record information in the first failure information classification, firstly classifying the recorded formats according to game records, such as video formats, character formats, picture formats, text formats and the like, correspondingly analyzing different formats, extracting the recorded contents to obtain the data information given in the game records, wherein the game record classification information is the recorded contents of the game records in which formats are provided, the classification analysis rules are different rules when each type of game records are extracted and analyzed, for example, the document information can be subjected to keyword and semantic analysis, the sound format can be subjected to content conversion to determine the data content, the image information is subjected to feature marking, and the images are subjected to special traversing comparison according to features, the data information is obtained, and various combinations with the same time point are carried out according to the information obtained in the game record, so that the failure reason in the corresponding time is obtained, for example, the front end of the first matching device is concentrated by an opponent in the image information, the weapon used by the opponent at present and the characteristics of the weapon are obtained according to the character record information, and the combination of the information extraction in the image and the information extraction in the character record information is carried out, so that the attack of which angle of the weapon can not be resisted due to the equipment front cover thinness of the user in the time is determined, and the failure factor information is obtained.
Step S900: inputting the first equipment characteristic information and the failure factor information into an equipment analysis model to obtain a first analysis result;
further, the inputting the first device characteristic information and the failure factor information into a device analysis model to obtain a first analysis result includes: taking the first device characteristic information as first input information; taking the failure factor information as second input information; inputting the first input information and the second input information into the equipment analysis model, wherein the equipment analysis model is obtained by training a plurality of groups of training data until convergence, and each group of data in the plurality of groups of training data has the first input information, the second input information and identification information for identifying a first analysis result; obtaining output information of the equipment analysis model, wherein the output information comprises the first analysis result.
Specifically, equipment analysis is carried out according to first equipment characteristic information and failure factor information to obtain failure reasons and weaknesses of the equipment, a first analysis result is the failure reasons and the weaknesses of the equipment which are obtained through analysis according to the relation between the equipment characteristic and the failure factor information, in order to improve the efficiency and accuracy of analysis, a neural network model is added in the embodiment of the application, the equipment analysis model is a neural network model in machine learning, the equipment analysis model can be continuously learned and adjusted, and the nonlinear dynamic learning system is highly complex. Briefly, it is a mathematical model. And inputting the first input information and the second input information into a neural network model through training of a large amount of training data, and outputting a first analysis result.
More specifically, the training process is essentially a supervised learning process, each set of supervised data includes the first input information, the second input information, and identification information identifying the first analysis result, the first input information and the second input information are input into a neural network model, the neural network model performs continuous self-correction and adjustment according to the identification information identifying the first analysis result, and the present set of supervised learning is ended until the obtained output result is consistent with the identification information, and the next set of supervised learning is performed; and when the output information of the neural network model reaches the preset accuracy rate/reaches the convergence state, finishing the supervised learning process. Through the supervised learning of the neural network model, the neural network model can process the input information more accurately, a more accurate and suitable first analysis result can be obtained, the purpose that the failure reason of the user equipment to the opponent is obtained according to multiple failure experiences in the game record of the user and the corresponding analysis of the characteristic information of the used equipment and the failure factor in the game is achieved, the targeted equipment upgrading design is carried out, meanwhile, the neural network model is added, the efficiency and the accuracy of the data operation processing result are improved, and a foundation is tamped for providing more accurate and reliable game equipment upgrading, research and development.
Step S1000: acquiring a preset function database;
step S1100: obtaining first matching function information according to the first analysis result and the preset function database, wherein the first matching function information comprises at least one piece of matching function information, and generating a first game analysis report according to the first analysis result, the first matching function information and the failure factor information and sending the first game analysis report to a first user;
specifically, the preset function database is an equipment function information set designed by the game openers, the function database is set to improve the realization of game upgrading construction, upgrading within the function range set by the current game to ensure the feasibility of function development, matching the failure analysis result of the current equipment, namely the first analysis result, with the functions in the preset function database to find out the function information capable of solving the current failure reason, wherein the first matching function information is the function information which is obtained in the preset function database according to the first analysis result and corresponds to the failure reason, and generating a game analysis report by using the analysis data and the result obtained in the whole analysis process, and sending the game analysis report to the game user for the game user to view and know, wherein the game analysis report can also comprise operation suggestions of the game user according to the game record.
Step S1200: and constructing first user development information according to the first matching function information and the first matching equipment.
Further, the constructing the first user development information according to the first matching function information and the first matching device includes: acquiring matching function element information according to the first matching function information; obtaining first equipment structure information according to the first matching equipment; acquiring a first combination point according to the first equipment structure information and the matching function element information; obtaining upgrading step information according to the first combination point and the matching function element information; and constructing the first user development information according to the first combination point, the matching function element information and the upgrading step information.
Further, when the first matching function information is multiple, the method includes: obtaining a plurality of research and development upgrading schemes according to the plurality of matching function information and the first matching device; and constructing the first user development information according to the plurality of development and upgrade schemes.
Specifically, a corresponding first user research and development module is constructed according to an upgrading relation between first matching function information and first matching equipment, the first user research and development information is a game equipment research and development space which is constructed correspondingly according to the game situation of a first user, wherein the first user can upgrade corresponding equipment according to the characteristics and the operation habit of the first user, the matching function element information is materials, tools and the like required by the first matching function information, the first equipment structure information is the structural characteristics of the first matching equipment, namely equipment used by the user, the upgrading step required by the first equipment for upgrading and installing the matching function element information is obtained by analyzing the first equipment structure information and the matching function element information, and the first combination point is the part of the first matching equipment where the corresponding equipment is upgraded and connected with the matching function, the method comprises the steps of establishing first user research and development information according to a first combination point, matching function element information and upgrading step information, and establishing research and development information simultaneously when a plurality of matched function information are available, wherein a user can correspondingly select according to a sent report, and can correspondingly select a research and development upgrading function according to the operation habit of the user and the upgrading direction obtained according to a first game analysis report, so that the technical effects of carrying out the battle condition analysis of virtual equipment according to the game record of the user, establishing a corresponding module for upgrading the equipment from the operation habit, meeting the operation characteristics of different game users and increasing the upgrading experience of the user are achieved, and the technical problems that the upgrading of game virtual equipment is carried out according to the fixed content of a game and the personalized research and development content of a player is lacked in the prior art are solved.
Further, the classifying the first failure information to obtain failure factor information includes: acquiring a first equipment information set according to the first failure result information set and the first equipment information, and using the first equipment information set as a first grading characteristic; obtaining first failure game stage information according to the first equipment information set and the first game stage information, and using the first failure game stage information as a second grading characteristic; obtaining failure factor information according to the first failure game stage information, and using the failure factor information as a third grading characteristic; constructing a multi-level analysis decision tree according to the first grading feature, the second grading feature and the third grading feature; and classifying the first failure information and inputting the first failure information into the multi-level analysis decision tree to obtain the failure factor information.
Specifically, the multi-level care decision tree is constructed according to a first failure result information set obtained from the game record of the first user, namely, according to the game record of the first user, which is obtained from the game record of the first user and fails, and then the failure result information of the user is classified and learned through the prediction model, so that the failure factor information based on the first user is quickly and accurately matched, the corresponding equipment upgrading function matching is carried out aiming at the game failure information of the first user, and then the upgrading research and development module is constructed for the first user. The method comprises the steps of calculating the information entropy of various features by obtaining the classification features as much as practical, selecting and preferentially classifying the features with the minimum information entropy, and performing recursive classification on other classification features according to the same method, so that the finally constructed multi-level nursing decision tree is more accurately classified.
Further, the method comprises: performing information theory encoding operation on the first hierarchical features to obtain first feature information entropy, performing information theory encoding operation on the second hierarchical features to obtain second feature information entropy, and performing information theory encoding operation on the third hierarchical features to obtain third feature information entropy; training a comparison model of the first feature information entropy, the second feature information entropy and the third feature information entropy input data to obtain first root node feature information; constructing the multi-level analysis decision tree based on the first root node feature information and the first failure score information set.
Specifically, in order to specifically construct the multi-level analysis decision tree, information entropy calculation may be performed on the first hierarchical feature, the second hierarchical feature, and the third hierarchical feature, that is, information entropy values are specifically calculated by a shannon formula in information theory encoding, so as to obtain corresponding first feature information entropy, second feature information entropy, and third feature information entropy, further, the information entropy represents uncertainty of information, when the uncertainty is larger, an information amount contained in the information is larger, the information entropy is higher, and purity is lower, and when all samples in a set are uniformly mixed, the information entropy is maximum, and purity is lowest. Therefore, the first feature information entropy, the second feature information entropy and the third feature information entropy are compared with the size value of the first feature information entropy, the feature with the minimum entropy, namely the first root node feature information, is obtained based on the data size comparison model, the features with the minimum entropy are classified in sequence according to the order from the minimum entropy to the maximum entropy, and finally the multi-level analysis decision tree is constructed, so that each game user is matched with an upgrade research and development space suitable for game habits, game battle performances and equipment features of the game user, and further the specific construction of the multi-level analysis decision tree is realized.
Example two
Based on the same inventive concept as the development module construction method based on game record analysis in the foregoing embodiment, the present invention further provides a development module construction system based on game record analysis, as shown in fig. 2, the system includes:
a first obtaining unit 11, the first obtaining unit 11 being configured to obtain analysis time information;
a second obtaining unit 12, where the second obtaining unit 12 is configured to obtain a game record of the first user according to the analysis time information;
a third obtaining unit 13, where the third obtaining unit 13 is configured to obtain a first user score according to the game record of the first user;
a fourth obtaining unit 14, where the fourth obtaining unit 14 is configured to obtain a first failure result information set according to a game record of the first user when the first user result meets a first predetermined threshold, where the first failure result information includes first device information, first game level information, and first failure time;
a fifth obtaining unit 15, where the fifth obtaining unit 15 is configured to classify all the first failure result information according to the first device information and the first game level information, and obtain a failure information classification result;
a sixth obtaining unit 16, where the sixth obtaining unit 16 is configured to, when there is a first failure information classification in the failure information classification result and a second predetermined threshold is reached, obtain a first matching device according to the first failure information classification;
a seventh obtaining unit 17, where the seventh obtaining unit 17 is configured to obtain first device feature information according to the first matching device;
an eighth obtaining unit 18, where the eighth obtaining unit 18 is configured to obtain failure factor information according to the first failure information classification;
the first execution unit 19 is configured to input the first device feature information and the failure factor information into a device analysis model, and obtain a first analysis result;
a ninth obtaining unit 20, wherein the ninth obtaining unit 20 is configured to obtain a preset function database;
a tenth obtaining unit 21, where the tenth obtaining unit 21 is configured to obtain first matching function information according to the first analysis result and the preset function database, where the first matching function information includes at least one piece of matching function information, and generate a first game analysis report according to the first analysis result, the first matching function information, and the failure factor information, and send the first game analysis report to the first user;
a first constructing unit 22, where the first constructing unit 22 is configured to construct first user research information according to the first matching function information and the first matching device.
Further, the system further comprises:
an eleventh obtaining unit, configured to obtain a first classified game record by classifying according to the first failure information;
a twelfth obtaining unit, configured to obtain record format classification information according to the first classification game record;
a thirteenth obtaining unit configured to obtain format feature information based on the recording format analysis information;
a fourteenth obtaining unit, configured to input the format feature information and the first classified game record into a record content extraction model, and obtain a game record classification information base;
a fifteenth obtaining unit configured to obtain a classification analysis rule according to the game record classification information;
a sixteenth obtaining unit, configured to input the game record analysis information and the classification analysis rule into a record analysis model, and obtain the failure factor information.
Further, the system further comprises:
a seventeenth obtaining unit, configured to obtain a first device information set according to the first failure result information set and the first device information, and use the first device information set as a first hierarchical feature;
an eighteenth obtaining unit, configured to obtain first failure game level information according to the first device information set and the first game level information, and use the first failure game level information as a second hierarchical feature;
a nineteenth obtaining unit configured to obtain failure factor information as a third ranking characteristic according to the first failure game stage information;
a second construction unit for constructing a multi-level analysis decision tree according to the first hierarchical features, the second hierarchical features and the third hierarchical features;
a twentieth obtaining unit, configured to classify and input the first failure information into the multi-level analysis decision tree, and obtain the failure factor information.
Further, the system further comprises:
a twenty-first obtaining unit, configured to perform information theory encoding operation on the first hierarchical feature to obtain a first feature information entropy, perform information theory encoding operation on the second hierarchical feature to obtain a second feature information entropy, and perform information theory encoding operation on the third hierarchical feature to obtain a third feature information entropy;
a twenty-second obtaining unit, configured to train a comparison model of the first feature information entropy, the second feature information entropy, and the third feature information entropy input data size to obtain first root node feature information;
a third constructing unit configured to construct the multi-level analysis decision tree based on the first root node feature information and the first failure performance information set.
Further, the system further comprises:
a twenty-third obtaining unit configured to obtain matching function element information according to the first matching function information;
a twenty-fourth obtaining unit, configured to obtain first device configuration information according to the first matching device;
a twenty-fifth obtaining unit, configured to obtain a first combining point according to the first device structure information and the matching function element information;
a twenty-sixth obtaining unit, configured to obtain, according to the first combination point and the matching functional element information, upgrading step information;
a fourth construction unit, configured to construct the first user development information according to the first combination point, the matching functional element information, and the upgrade step information.
Further, the system further comprises:
a twenty-seventh obtaining unit, configured to obtain first user level information according to the game record of the first user;
a twenty-eighth obtaining unit, configured to obtain a first user breakthrough rate average value according to the first user level information and a game record of the first user;
a twenty-ninth obtaining unit for obtaining a second game level;
a thirtieth obtaining unit, configured to obtain a level difficulty increase weight according to the second game level and the game record of the first user;
a thirty-first obtaining unit, configured to obtain the first predetermined threshold according to the first user average breakthrough rate and the level difficulty increase weight.
Further, the system further comprises:
a second execution unit configured to use the first device characteristic information as first input information;
a third execution unit configured to take the failure factor information as second input information;
a first input unit, configured to input the first input information and the second input information into the device analysis model, where the device analysis model is obtained by training multiple sets of training data to converge, where each set of data in the multiple sets of training data has the first input information, the second input information, and identification information for identifying a first analysis result;
a thirty-second obtaining unit, configured to obtain output information of the equipment analysis model, where the output information includes the first analysis result.
Further, the system further comprises:
a thirty-third obtaining unit, configured to obtain a plurality of research and development upgrading schemes according to the plurality of matching function information and the first matching device;
a fifth constructing unit, configured to construct the first user development information according to the plurality of development and upgrade scenarios.
Various changes and specific examples of the development module construction method based on game record analysis in the first embodiment of fig. 1 are also applicable to the development module construction system based on game record analysis of this embodiment, and through the foregoing detailed description of the development module construction method based on game record analysis, those skilled in the art can clearly know the implementation method of the development module construction system based on game record analysis in this embodiment, so for the sake of brevity of the description, detailed descriptions are not repeated here.
The electronic device of the embodiment of the present application is described below with reference to fig. 3.
Fig. 3 illustrates a schematic structural diagram of an electronic device according to an embodiment of the present application.
Based on the inventive concept of the development module construction method based on game record analysis in the foregoing embodiments, the present invention further provides a development module construction system based on game record analysis, in which a computer program is stored, and when the program is executed by a processor, the steps of any one of the foregoing development module construction methods based on game record analysis are implemented.
Where in fig. 3 a bus architecture (represented by bus 300), bus 300 may include any number of interconnected buses and bridges, bus 300 linking together various circuits including one or more processors, represented by processor 302, and memory, represented by memory 304. The bus 300 may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface 305 provides an interface between the bus 300 and the receiver 301 and transmitter 303. The receiver 301 and the transmitter 303 may be the same element, i.e., a transceiver, providing a means for communicating with various other systems over a transmission medium.
The processor 302 is responsible for managing the bus 300 and general processing, and the memory 304 may be used for storing data used by the processor 302 in performing operations.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
according to the method and the system for constructing the research and development module based on game record analysis, provided by the embodiment of the invention, analysis time information is obtained; obtaining a game record of a first user according to the analysis time information; obtaining a first user score according to the game record of the first user; when the first user score meets a first preset threshold value, obtaining a first failure score information set according to the game record of the first user, wherein the first failure score information comprises first equipment information, first game level information and first failure time; classifying all first failure score information according to the first equipment information and the first game stage information to obtain failure information classification results; when a first failure information classification reaches a second preset threshold value in the failure information classification result, obtaining first matching equipment according to the first failure information classification; acquiring first equipment characteristic information according to the first matching equipment; classifying according to the first failure information to obtain failure factor information; inputting the first equipment characteristic information and the failure factor information into an equipment analysis model to obtain a first analysis result; acquiring a preset function database; obtaining first matching function information according to the first analysis result and the preset function database, wherein the first matching function information comprises at least one piece of matching function information, and generating a first game analysis report according to the first analysis result, the first matching function information and the failure factor information and sending the first game analysis report to a first user; and constructing first user development information according to the first matching function information and the first matching equipment. The method and the device achieve the technical effects that the battle condition analysis of the virtual equipment is carried out according to the game records of the users, the corresponding module construction of equipment upgrading is carried out, the operating characteristics of different game users are met, the upgrading experience of the users is improved, meanwhile, the data operation efficiency and accuracy are improved by using the neural network model, and all-dimensional game guidance is provided for the game users, so that the technical problems that in the prior art, the upgrading of the game virtual equipment is researched and developed according to the fixed content of the game, and the personalized and customized research and development content of players is lacked are solved.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks. While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (8)
1. A development module construction method based on game record analysis, wherein the method comprises the following steps:
obtaining analysis time information;
obtaining a game record of a first user according to the analysis time information;
obtaining a first user score according to the game record of the first user;
when the first user score meets a first preset threshold value, obtaining a first failure score information set according to the game record of the first user, wherein the first failure score information comprises first equipment information, first game level information and first failure time;
classifying all first failure score information according to the first equipment information and the first game stage information to obtain failure information classification results;
when a first failure information classification reaches a second preset threshold value in the failure information classification result, obtaining first matching equipment according to the first failure information classification;
acquiring first equipment characteristic information according to the first matching equipment;
classifying according to the first failure information to obtain failure factor information;
inputting the first equipment characteristic information and the failure factor information into an equipment analysis model to obtain a first analysis result;
acquiring a preset function database;
obtaining first matching function information according to the first analysis result and the preset function database, wherein the first matching function information comprises at least one piece of matching function information, and generating a first game analysis report according to the first analysis result, the first matching function information and the failure factor information and sending the first game analysis report to a first user;
constructing first user development information according to the first matching function information and the first matching equipment;
wherein, the obtaining failure factor information according to the first failure information classification includes:
classifying according to the first failure information to obtain a first classified game record;
obtaining record format classification information according to the first classification game record;
analyzing information according to the record format to obtain format characteristic information;
inputting the format characteristic information and the first classified game record into a record content extraction model to obtain a game record classification information base;
obtaining a classification analysis rule according to the game record classification information;
inputting the game record analysis information and the classification analysis rule into a record analysis model to obtain the failure factor information;
wherein, the constructing the first user development information according to the first matching function information and the first matching device includes:
acquiring matching function element information according to the first matching function information;
obtaining first equipment structure information according to the first matching equipment;
acquiring a first combination point according to the first equipment structure information and the matching function element information;
obtaining upgrading step information according to the first combination point and the matching function element information;
and constructing the first user development information according to the first combination point, the matching function element information and the upgrading step information.
2. The method of claim 1, wherein the first failure information classification, obtaining failure factor information, comprises:
acquiring a first equipment information set according to the first failure result information set and the first equipment information, and using the first equipment information set as a first grading characteristic;
obtaining first failure game stage information according to the first equipment information set and the first game stage information, and using the first failure game stage information as a second grading characteristic;
obtaining failure factor information according to the first failure game stage information, and using the failure factor information as a third grading characteristic;
constructing a multi-level analysis decision tree according to the first grading feature, the second grading feature and the third grading feature;
and classifying the first failure information and inputting the first failure information into the multi-level analysis decision tree to obtain the failure factor information.
3. The method of claim 2, wherein the method comprises:
performing information theory encoding operation on the first hierarchical features to obtain first feature information entropy, performing information theory encoding operation on the second hierarchical features to obtain second feature information entropy, and performing information theory encoding operation on the third hierarchical features to obtain third feature information entropy;
training a comparison model of the first feature information entropy, the second feature information entropy and the third feature information entropy input data to obtain first root node feature information;
constructing the multi-level analysis decision tree based on the first root node feature information and the first failure score information set.
4. The method of claim 1, wherein the method comprises:
obtaining first user grade information according to the game record of the first user;
obtaining a first user pass-through rate mean value according to the first user grade information and the game record of the first user;
obtaining a second game level;
obtaining a level difficulty increasing weight according to the second game level and the game record of the first user;
and obtaining the first preset threshold value according to the first user crossing rate average value and the barrier difficulty increasing weight value.
5. The method of claim 1, wherein said inputting the first device characteristic information, the failure factor information into a device analysis model to obtain a first analysis result comprises:
taking the first device characteristic information as first input information;
taking the failure factor information as second input information;
inputting the first input information and the second input information into the equipment analysis model, wherein the equipment analysis model is obtained by training a plurality of groups of training data until convergence, and each group of data in the plurality of groups of training data has the first input information, the second input information and identification information for identifying a first analysis result;
obtaining output information of the equipment analysis model, wherein the output information comprises the first analysis result.
6. The method of claim 1, wherein when the first matching function information is plural, the method comprises:
obtaining a plurality of research and development upgrading schemes according to a plurality of matching function information and the first matching device;
and constructing the first user development information according to the plurality of development and upgrade schemes.
7. A development module construction system based on game record analysis, wherein the system is applied to the method of any one of claims 1-6, and the system comprises:
a first obtaining unit configured to obtain analysis time information;
a second obtaining unit, configured to obtain a game record of the first user according to the analysis time information;
a third obtaining unit, configured to obtain a first user score according to the game record of the first user;
a fourth obtaining unit, configured to obtain a first failure score information set according to a game record of the first user when the first user score meets a first predetermined threshold, where the first failure score information includes first device information, first game level information, and first failure time;
a fifth obtaining unit, configured to classify all pieces of first failure result information according to the first device information and the first game level information, and obtain a failure information classification result;
a sixth obtaining unit, configured to, when there is a first failure information classification in the failure information classification result that reaches a second predetermined threshold, obtain a first matching device according to the first failure information classification;
a seventh obtaining unit, configured to obtain first device feature information according to the first matching device;
an eighth obtaining unit, configured to obtain failure factor information according to the first failure information classification; the first execution unit is used for inputting the first equipment characteristic information and the failure factor information into an equipment analysis model to obtain a first analysis result;
a ninth obtaining unit, configured to obtain a preset function database;
a tenth obtaining unit, configured to obtain first matching function information according to the first analysis result and the preset function database, where the first matching function information includes at least one piece of matching function information, and generate a first game analysis report according to the first analysis result, the first matching function information, and the failure factor information, and send the first game analysis report to the first user;
the first construction unit is used for constructing first user development information according to the first matching function information and the first matching equipment;
the system further comprises:
an eleventh obtaining unit, configured to obtain a first classified game record by classifying according to the first failure information;
a twelfth obtaining unit, configured to obtain record format classification information according to the first classification game record;
a thirteenth obtaining unit configured to obtain format feature information based on the recording format analysis information;
a fourteenth obtaining unit, configured to input the format feature information and the first classified game record into a record content extraction model, and obtain a game record classification information base;
a fifteenth obtaining unit configured to obtain a classification analysis rule according to the game record classification information;
a sixteenth obtaining unit, configured to input the game record analysis information and the classification analysis rule into a record analysis model, and obtain the failure factor information;
a twenty-third obtaining unit configured to obtain matching function element information according to the first matching function information;
a twenty-fourth obtaining unit, configured to obtain first device configuration information according to the first matching device;
a twenty-fifth obtaining unit, configured to obtain a first combining point according to the first device structure information and the matching function element information;
a twenty-sixth obtaining unit, configured to obtain, according to the first combination point and the matching functional element information, upgrading step information;
a fourth construction unit, configured to construct the first user development information according to the first combination point, the matching functional element information, and the upgrade step information.
8. A system of building a development module based on game record analysis, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 6 when executing the program.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1321039A (en) * | 2000-03-31 | 2001-11-07 | 株式会社Kceo | Network game system and device, game method and game program recording medium |
| JP2013080205A (en) * | 2011-09-25 | 2013-05-02 | Yamaha Corp | Electronic audio apparatus-linked device and program |
| CN103617294A (en) * | 2013-12-17 | 2014-03-05 | 江苏名通信息科技有限公司 | User behavior analysis method under LINUX system |
| CN107080942A (en) * | 2017-03-27 | 2017-08-22 | 长沙趣动文化科技有限公司 | Games window matched processing method and system based on Unity3D |
| CN107209752A (en) * | 2014-10-27 | 2017-09-26 | 埃丹帝弗有限公司 | Personal ability, technical ability and the interest of identification is analyzed by game data |
| CN111966359A (en) * | 2020-09-28 | 2020-11-20 | 福建天晴在线互动科技有限公司 | Game formula compiling method and system for game playing method |
| CN112642151A (en) * | 2020-12-18 | 2021-04-13 | 咪咕互动娱乐有限公司 | Game strategy determining method and device, electronic equipment and storage medium |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1319008C (en) * | 2004-06-18 | 2007-05-30 | 华为技术有限公司 | Game virtual-article data processing method, game platform system and game system |
| JP5024062B2 (en) * | 2008-01-10 | 2012-09-12 | 富士通株式会社 | Recording apparatus, recording program, and recording method |
| WO2010075070A1 (en) * | 2008-12-15 | 2010-07-01 | Tetris Online, Inc. | Interactive asynchronous computer game infrastructure |
| CN103268406B (en) * | 2013-05-09 | 2018-02-09 | 湖南大学 | A kind of data digging system and method based on Coal Mine Security Training game |
| CN108537017B (en) * | 2018-01-05 | 2021-07-23 | 上海连尚网络科技有限公司 | Method and equipment for managing game users |
-
2021
- 2021-06-16 CN CN202110668450.8A patent/CN113253976B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1321039A (en) * | 2000-03-31 | 2001-11-07 | 株式会社Kceo | Network game system and device, game method and game program recording medium |
| JP2013080205A (en) * | 2011-09-25 | 2013-05-02 | Yamaha Corp | Electronic audio apparatus-linked device and program |
| CN103617294A (en) * | 2013-12-17 | 2014-03-05 | 江苏名通信息科技有限公司 | User behavior analysis method under LINUX system |
| CN107209752A (en) * | 2014-10-27 | 2017-09-26 | 埃丹帝弗有限公司 | Personal ability, technical ability and the interest of identification is analyzed by game data |
| CN107080942A (en) * | 2017-03-27 | 2017-08-22 | 长沙趣动文化科技有限公司 | Games window matched processing method and system based on Unity3D |
| CN111966359A (en) * | 2020-09-28 | 2020-11-20 | 福建天晴在线互动科技有限公司 | Game formula compiling method and system for game playing method |
| CN112642151A (en) * | 2020-12-18 | 2021-04-13 | 咪咕互动娱乐有限公司 | Game strategy determining method and device, electronic equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| The Effects of Avatar-Based Customization on Player Identification;Selen Turkay;《International Journal of Gaming and Computer-Mediated Simulations》;20160730;全文 * |
| 做好游戏用户体验设计的五个秘籍;柠檬养乐多;《https://zhuanlan.zhihu.com/p/368649898》;20210428;全文 * |
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