CN113426132B - Game optimization method, device, equipment and storage medium - Google Patents
Game optimization method, device, equipment and storage medium Download PDFInfo
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- CN113426132B CN113426132B CN202110707873.6A CN202110707873A CN113426132B CN 113426132 B CN113426132 B CN 113426132B CN 202110707873 A CN202110707873 A CN 202110707873A CN 113426132 B CN113426132 B CN 113426132B
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- A—HUMAN NECESSITIES
- A63—SPORTS; GAMES; AMUSEMENTS
- A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
- A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
- A63F13/60—Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor
- A63F13/63—Generating or modifying game content before or while executing the game program, e.g. authoring tools specially adapted for game development or game-integrated level editor by the player, e.g. authoring using a level editor
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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Abstract
The application discloses a game optimization method, a game optimization device and a game optimization storage medium, wherein the game optimization method comprises the following steps: screening comments of the game corresponding to the comment area to obtain target comments; determining a split functional module of the game; and associating the target comment to a target function module in the split function modules so that the server side associated with the server side optimizes the game based on the target comment. In the application, the target comments are automatically positioned to the functional module of the game and fed back, instead of manually interacting, screening and evaluating the improvement advice of the game, and then the improvement advice is reported to the server side, so that the feedback speed of the comments in a game forum or a game community is improved, the conversion speed of the corresponding functions of the comments is further improved, and the technical problem that the existing development improvement advice (or functional module optimization) of the game content cannot be fed back and converted into the game by a player is solved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a game optimization method, apparatus, device, and storage medium.
Background
In a game forum or a game community, there are a great number of improvement suggestions (or functional module requirements) for a game after a player experiences the game, at present, a staff of a game company interacts, collects and screens out the improvement suggestions related to the corresponding game through a comment area, and further performs tasks such as requirement conversion evaluation, so as to convert the improvement suggestions which can be landed after evaluation into the optimization requirements of the next stage, so that the player can experience the suggestion functions mentioned in the comments in the subsequent updated version.
However, currently, the improvement advice of the game is interacted, screened and evaluated by the staff of the game company, and is fed back to the optimization requirement, and then the improvement advice is realized by the developer, so that the process is too much, and the expansion improvement advice (or the optimization of the functional module) of the player on the game content cannot be fed back to the game quickly.
Disclosure of Invention
The application mainly aims to provide a game optimization method, a game optimization device and a game storage medium, and aims to solve the technical problem that comments in an existing game forum or a game community cannot be fed back and converted quickly.
In order to achieve the above object, the present application provides a game optimization method applied to a server, the game optimization method comprising:
Screening comments of the game corresponding to the comment area to obtain target comments;
determining a split functional module of the game;
and associating the target comment to a target function module in the split function modules so that the server side associated with the server side optimizes the game based on the target comment.
Optionally, the step of screening comments of the game corresponding to the comment area to obtain the target comment includes:
determining the degree of correlation between comments of the game comment area and the game, and determining a target account of the game based on the degree of correlation;
and acquiring comments of the target account, and taking the comments of the target account as target comments of the game.
Optionally, the step of determining a degree of correlation between the comments of the comment area and the attribute information of the game includes:
determining processing parameters of each comment in the comment area, and determining the grade of each account in the game comment area and the active frequency of each account, wherein the processing parameters comprise at least one of reading quantity and a return quantity;
and determining the correlation degree of the comments of the comment area and the attribute information of the game based on the processing parameters, the grades of the accounts and the active frequency of the accounts.
Optionally, the step of associating the target comment with a target function module in the split function modules for the server side associated with the server side to optimize the game based on the target comment includes:
determining comment attribute information of the target comment;
positioning the target comment to a target function module in a splitting function module based on scene attributes and content attributes in the comment attribute information;
and associating the target comment with the target function module, and marking the target function module so that the server associated with the server optimizes the game based on the target comment.
Optionally, after the step of determining comment attribute information of the target comment, the method includes:
determining the task type associated with the target comment in the game according to the comment content of the target comment;
and if the task type is a non-branch task type, executing the step of positioning the target comment to a target function module in the split function module based on the scene attribute and the content attribute in the comment attribute information, wherein the target function module comprises an additional function module.
Optionally, after the step of determining the task type associated with the target comment in the game, the method includes:
if the task type is a branch task type, calling a preset basic function module in the splitting function module to generate a branch task demonstration sample corresponding to the target comment;
after the step of associating the target comment with the target function module and marking the target function module for the server side associated with the server side to optimize the game based on the target comment, the method comprises the following steps:
determining a game scene of the branch task demonstration sample, inserting the branch task demonstration sample into a game process corresponding to the game scene, and associating the target comment with the branch task demonstration sample.
The application also provides a game optimization method which is applied to the server side, and comprises the following steps:
receiving a target comment sent by a server side and a target function module in a splitting function module associated with the target comment;
optimizing the game based on the target comment and the target function module.
The present application also provides a game optimizing apparatus including:
The screening module is used for screening comments of the corresponding comment area of the game to obtain target comments;
the first determining module is used for determining a split functional module of the game;
and the association module is used for associating the target comment to the target function module in the splitting function module so that the server-side associated service provider side can optimize the game based on the target comment.
Optionally, the screening module includes:
a first determining unit configured to determine a degree of correlation between comments in the comment area and attribute information of the game, and determine a target account of the game based on the degree of correlation;
and the acquisition unit is used for taking all comments of the target account as target comments of the game.
Optionally, the first determining unit includes:
a first determining subunit, configured to determine processing parameters of each comment in the comment area, and determine a level of each account in the game comment area and an active frequency of each account, where the processing parameters include at least one of a reading amount and a return amount;
and the second determining subunit is used for determining the correlation degree of the comments of the comment area and the attribute information of the game based on the processing parameters, the grades of the accounts and the active frequency of the accounts.
Optionally, the association module includes:
a second determining unit, configured to determine comment attribute information of the target comment;
the positioning unit is used for positioning the target comment to a target function module in the splitting function module based on scene attributes and content attributes in the comment attribute information;
and the association unit is used for associating the target comment with the target function module and marking the target function module so that the server-side associated service provider side optimizes the game based on the target comment.
Optionally, the game optimization device further includes:
the second determining module is used for determining the task type associated with the target comment in the game according to the comment content of the target comment;
and the execution module is used for executing the step of positioning the target comment to the target function module in the split function module based on the scene attribute and the content attribute in the comment attribute information if the task type is a non-branch task type, wherein the target function module comprises an additional function module.
Optionally, the game optimization device further includes:
the calling module is used for calling a preset basic function module in the splitting function module to generate a branch task demonstration sample corresponding to the target comment if the task type is a branch task type;
The marking module is configured to associate the target comment with the target function module, and mark the target function module, so that after the step of optimizing the game based on the target comment, the server associated with the server side includes:
and the third determining module is used for determining a game scene of the branch task demonstration sample, inserting the branch task demonstration sample into a game process corresponding to the game scene, and associating the target comment with the branch task demonstration sample.
The application also provides a game optimizing device which is applied to the service provider end and comprises:
the receiving module is used for receiving the target comment sent by the server and the target function module in the splitting function module associated with the target comment;
and the optimizing module is used for optimizing the game based on the target comment and the target function module.
The application also provides a game optimizing device, which is entity node device, comprising: the game optimization device comprises a memory, a processor and a program of the game optimization method stored in the memory and capable of running on the processor, wherein the program of the game optimization method can realize the steps of the game optimization method when being executed by the processor.
The present application also provides a storage medium having stored thereon a program for implementing the above-described game optimization method, which when executed by a processor implements the steps of the game optimization method as described above.
The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the game optimization method described above.
Compared with the prior art that the improvement advice of the game is interacted, screened and evaluated by staff of a game company, and fed back to the optimization requirement, and then the improvement advice is realized by a developer, the method, the device and the storage medium for optimizing the game can not quickly feed back the expansion improvement advice (or function module optimization) of the player on the game content to the game; determining a split functional module of the game; and further associating the target comment to a target function module in the splitting function module, so that the server side associated with the server side optimizes the game based on the target comment. That is, in the application, the target comment is automatically positioned to the function module of the game and fed back, instead of manually going to interact, screening and evaluating the improvement suggestion of the game, and then the improvement suggestion is reported to the server side, so that the feedback speed of the comment in the game forum or the game community is improved, the conversion speed of the comment corresponding function is further improved, and the technical problem that the existing expansion improvement suggestion (or function module optimization) of the player on the game content cannot be fed back and converted into the game quickly is solved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the application or the technical solutions of the prior art, the drawings which are used in the description of the embodiments or the prior art will be briefly described, and it will be obvious to a person skilled in the art that other drawings can be obtained from these drawings without inventive effort.
FIG. 1 is a flow chart of a first embodiment of a game optimization method of the present application;
FIG. 2 is a schematic diagram of a refinement step flow of step S10 in the game optimization method of the present application;
FIG. 3 is a schematic diagram of a device architecture of a hardware operating environment according to an embodiment of the present application;
FIG. 4 is a schematic view of a first scenario of the game optimization method of the present application;
FIG. 5 is a schematic view of a second scenario of the game optimization method of the present application;
FIG. 6 is a schematic diagram of a third scenario of the game optimization method of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
An embodiment of the present application provides a game optimization method, in a first embodiment of the game optimization method of the present application, referring to fig. 1, the game optimization method includes:
step S10, selecting comments of a corresponding comment area of the game to obtain target comments;
step S20, determining a split functional module of the game;
and step S30, associating the target comment to a target function module in the split function modules so that the server side associated with the server side optimizes the game based on the target comment.
The method comprises the following specific steps:
step S10, selecting comments of a corresponding comment area of the game to obtain target comments;
in this embodiment, it is to be noted that the game optimization method may be applied to a game optimization apparatus belonging to a game optimization system subordinate to a game optimization device.
In this embodiment, a specific application scenario may be: players comment on games in a game forum or a game community, some of the comments of players may be spitting, some of the comments may be improvement suggestions (including functional module requirements) made for the games after the player experiences, for example, the improvement suggestions may be: specific colors need to be added in map rendering, or: fewer game characters, specific game characters need to be added, or: the function of adding a certain branch game is needed, and the mode of reflecting the comment feedback of the advice into the game is that: the method comprises the steps that staff of a game company interact and collect in a comment area to screen out demand content related to a corresponding game, then conduct work such as demand conversion evaluation and the like, further achieve the purpose that improvement suggestions which can fall to the ground after evaluation are converted into the optimization demands of the next stage, after the functions which are correspondingly developed by research staff aiming at the optimization demands are online, players can experience functions mentioned in comments or suggested in the corresponding game update version, and because staff of the game company need to interact in the comment area, collect and screen, and the like, the expanded improvement suggestions (or functional module optimization) of the players for the game content cannot be fed back to the game rapidly or even in real time.
In this embodiment, firstly, comments of a game corresponding to an evaluation area are screened to obtain target comments, specifically, comments of the game corresponding to the evaluation area are screened, and the purpose of obtaining the target comments is: comments related to the target game are screened out, rather than taking all comments into consideration, and comment feedback conversion efficiency is improved.
The method for screening the comments of the corresponding comment area of the game to obtain the target comments can be as follows:
mode one: screening comments of the game corresponding to the comment area through keywords to obtain target comments;
for example, for comments, the target comments may be obtained by matching "functions", "play", "add", etc. including, but not limited to, the above keywords in the game comments that have high relevance to the game content.
Mode two: obtaining target comments through comments screened by the online time length;
for example, for comments, a target comment may be obtained by matching over an online time period of greater than 20 hours per week.
Mode three: referring to fig. 2, the step of screening comments of a game corresponding to a comment area to obtain a target comment includes:
step S11, determining the correlation degree of comments in the comment area and the attribute information of the game, and determining a target account of the game based on the correlation degree;
In this embodiment, comments are matched through the player account, so that comment screening efficiency is improved.
In this embodiment, the correlation degree between the comments in the comment area and the attribute information of the game is determined, and then the corresponding target account is searched according to the magnitude of the correlation degree, so that all comments of the target account are taken into consideration.
In this embodiment, the attribute information of the game may refer to the name of the game, the progress of the game, the content of the game, the scene of the game, and the like.
The manner of determining the degree of correlation between the comments of the comment area and the attribute information of the game may be:
mode one: determining the degree of correlation with the attribute information of the game according to the comment reading quantity of the game comment area;
mode two: determining the degree of correlation with the attribute information of the game according to the reply quantity and/or comment reading quantity of the comments in the game comment area;
and step S12, taking all comments of the target account as target comments of the game.
After the target account is obtained, the account information is read, the user corresponding to the account information is positioned as a user with constructive opinions on the game, namely, after the target account is positioned, comments of the target account are extracted in a comment area, specifically, all comments of the target account are obtained, and the comments of the target account are used as target comments of the game.
Step S20, determining a split functional module of the game;
in this embodiment, after the target comment is obtained, a splitting function module of the game is also obtained, where in this embodiment, the splitting function module of the game may be already determined or previously split, and the splitting function module of the game may be directly extracted from the already split splitting function module.
In this embodiment, the splitting function module of the game may also be obtained by real-time splitting.
In this embodiment, the specific steps for determining the splitting function module of the game may be:
the first step: through the module composition rules in the preset game, each functional module in the game is split, such as the map rendering module, the walking module, the combat module, the game role attribute module, the equipment module, the archiving module and other conventional functional modules involved in the game.
In this embodiment, for the front-end game display module, the back-end game server has a code segment for implementing the function, so in this embodiment, the code implementation and the front-end function display module are also corresponding and divided based on a corresponding preset code composition rule.
That is, in the present embodiment, not only the splitting of the front-end presentation but also the splitting of the back-end code is performed.
And a second step of: distinguishing a basic function from an additional function for the game function;
in this embodiment, the splitting function module specifically further performs distinction between a basic function and an additional function, where the basic function is necessary, that is, the distinction between the basic function and the additional function of the module is made as to whether it is necessary in the game (whether it is necessary or not determined by attribute information), for example, if a certain complete code in the function module is skipped and the game progress is to be blocked, it is determined that the code is a basic necessary function, and the corresponding function module is a basic function module; if the game progress can continue after the jump, the code segment is judged to be an additional function, the corresponding function module is an additional function module, and the additional function may only play roles of beautifying the picture, improving the character attribute and the like, and has no influence on the game main progress.
For example, in the map rendering module, the loading of the walkable path is an essential basic function, and the loading of plants such as flowers, plants, trees and the like beside the path belongs to an additional function, but is only for the purpose of making the game picture more attractive and does not belong to an essential part in the game.
And a third step of: in the game system, labels of walking, pictures, voices, roles and the like aiming at the basic modules are automatically generated for the basic function modules which are distinguished, so that the corresponding basic function modules can be conveniently called according to the comment content.
In the present embodiment, specifically, for example, in a game system, labels of walking, picture, voice, and character are a1, b1, c1, and d1, respectively.
And step S30, associating the target comment to a target function module in the split function modules so that the server side associated with the server side optimizes the game based on the target comment.
In this embodiment, after the splitting function module is obtained, a target function module is further selected from the splitting function modules, where the target function module refers to a module related to or associated with the target comment, so that the server associated with the server optimizes the game based on the target comment.
Specifically, if the target comment is: if a person walks too slowly, the target function module is a walking module.
The step of associating the target comment to a target function module in the split function modules for the server-side associated server-side to optimize the game based on the target comment includes:
Step S31, determining comment attribute information of the target comment;
in this embodiment, comment attribute information of the target comment is also determined, where the comment attribute information of the target comment may refer to a scene type related to the target comment, a content type related to the target comment, a process type related to the target comment, a task type related to the target comment, and the like, and is not specifically limited herein.
Step S32, positioning the target comment to a target function module in a split function module based on scene attributes and content attributes in the comment attribute information;
locating the target comment to a target function module in the split function module based on scene attributes (scene type, scene effect, etc.) and content attributes (content type, content architecture, etc.) in the comment attribute information; specifically, the target comment is positioned to a target function module in the split function module, for example, to a walking module or a screen module, based on the scene type and the content type in the comment attribute information.
And step S33, associating the target comment with the target function module, and marking the target function module so that the server-side associated service provider side optimizes the game based on the target comment.
After obtaining the target function module, associating the target comment with the target function module, wherein associating the target comment with the target function module includes:
associating the target comment with a code of the target function module;
or associating the target comment with a tag of the target function module;
or associating the target comment with a tag and code of the target function module.
In this embodiment, after the target function module is associated, the target function module is further marked (for example, marked to be improved or to be checked), so that the server side associated with the server side optimizes the game based on the target comment.
After the step of determining comment attribute information of the target comment, the method includes:
a1, determining a task type associated with the target comment in the game according to comment content of the target comment;
in this embodiment, it should be noted that the game not only has a main task process, but also has a corresponding branching task process, that is, the game may be a main task type and each branch task type, and in this embodiment, the task type associated with the target comment in the game is determined according to the comment content of the target comment, specifically, the task type associated with the target comment in the game is determined according to a keyword in the target comment.
And step A2, if the task type is a non-branch task type, executing the step of positioning the target comment to a target function module in the split function modules based on the scene attribute and the content attribute in the comment attribute information, wherein the target function module comprises an additional function module.
And if the task type is a non-branch task type, executing the step of positioning the target comment to a target function module in the split function module based on the scene attribute and the content attribute in the comment attribute information, wherein the target function module further comprises an additional function module, namely, if the task type is a non-branch task type, the target comment can be positioned to the additional function module or the basic function module.
And if the task type is a branch task type, executing the step of positioning the target comment to all basic function modules corresponding to the main task based on the comment attribute information.
Specifically, after the step of determining the task type associated with the target comment in the game, the method includes:
step B1, if the task type is a branch task type, calling a preset basic function module in the splitting function module to generate a branch task demonstration sample corresponding to the target comment;
In this embodiment, if the task type is a branch task type, a preset basic function module (which may be obtained by real-time splitting or already split in advance) in the splitting function module is called, and specifically, all preset basic function modules in the splitting function module are called to generate a branch task demonstration sample (demo) corresponding to the target comment.
That is, the branch task has fewer game roles and extended branch scenario relative to the main task, in this case, the branch task covers substantially all basic modules of the game, if when the game comment involves adding the branch task, that is, if the task type is the branch task type, the basic function module (the game function basic module after the function additional module is removed, as shown in fig. 4) in the game function modules split in the first step and the second step is called by itself, and the branch task demonstration sample is correspondingly automatically generated, so that the branch function completed later is ensured to be consistent with the main function, so as to avoid abrupt connection of the branch game.
In this embodiment, after the preset basic function modules are obtained, the preset basic function modules may be arranged one by one according to the code sequence of the function modules of the main line task process (corresponding to keeping the sequence of the function modules corresponding to the main line task unchanged), so as to generate a branch line task demonstration sample corresponding to the target comment.
Specifically, as the preset basic function modules are obtained and ordered, the branch task content frames related in the comments can be obtained, and then the initial demo (sample) of the game branch task can be obtained, namely, according to the comments of the user, the main game basic module is called on the basis of the main game frame, and the initial demo (sample) of the game branch task suggested in the comments is generated.
In this embodiment, the initial demo (sample) of the game branch line task is directly generated without manually calling the corresponding main line game base module again, so that the efficiency of optimizing the game according to the comment area advice by the developer can be improved.
After the step of associating the target comment with the target function module and marking the target function module for the server side associated with the server side to optimize the game based on the target comment, the method comprises the following steps:
and B2, determining a game scene of the branch task demonstration sample, inserting the branch task demonstration sample into a game process corresponding to the game scene, and associating the target comment with the branch task demonstration sample.
In this embodiment, a game scenario of the branch line task presentation sample is also determined.
The method for determining the game scene of the branch line task demonstration sample comprises the following steps:
mode one: determining a game scene of the branch task demonstration sample according to the level of the branch task demonstration sample, as shown in fig. 5;
mode two: and determining the game scene of the branch task demonstration sample according to the copy of the branch task demonstration sample.
In this embodiment, the branch task demonstration sample is inserted into a game process corresponding to the game level scene, and the target comment is associated with the branch task demonstration sample.
In this embodiment, the branch task demonstration sample is inserted into the game process corresponding to the game level scene, and the target comment is associated with the branch task demonstration sample, so that the branch task demonstration sample and the target comment can be rapidly positioned, and the efficiency of optimizing the game according to the comment area suggestion by the developer can be improved.
Compared with the prior art that the improvement advice of the game is interacted, screened and evaluated by staff of a game company, and fed back to the optimization requirement, and then the improvement advice is realized by a developer, the method, the device and the storage medium for optimizing the game can not quickly feed back the expansion improvement advice (or function module optimization) of the player on the game content to the game; determining a split functional module of the game; and further associating the target comment to a target function module in the splitting function module, so that the server side associated with the server side optimizes the game based on the target comment. That is, in the application, the target comment is automatically positioned to the function module of the game and fed back, instead of manually going to interact, screening and evaluating the improvement suggestion of the game, and then the improvement suggestion is reported to the server side, so that the feedback speed of the comment in the game forum or the game community is improved, the conversion speed of the comment corresponding function is further improved, and the technical problem that the existing expansion improvement suggestion (or function module optimization) of the player on the game content cannot be fed back and converted into the game quickly is solved.
Further, based on the first embodiment of the present application, there is provided another embodiment of the present application, in which the step of determining a degree of correlation of the comment area with the attribute information of the game includes:
step C1, determining processing parameters of each comment in the comment area, and determining the grade of each account in the game comment area and the active frequency of each account, wherein the processing parameters comprise at least one of reading quantity and return quantity;
specifically, in the present embodiment, the processing parameters of each comment in the comment area are determined, the processing parameters including at least one of the reading amount and the return amount, and thus, the determining the processing parameters of each comment in the comment area includes:
determining the reading quantity and the return quantity of each comment in the game comment area, and determining the grade of each account in the game comment area and the active frequency of each account;
determining the number of loops of each comment in the game comment area, and determining the grade of each account in the game comment area and the active frequency of each account;
and determining the reading quantity of each comment in the game comment area, and determining the grade of each account in the game comment area and the active frequency of each account.
Specifically, in this embodiment, the reading amount of each comment in the game comment area is determined in such a manner that: determining a comment page, carrying out region segmentation on each comment on the comment page, namely generating a comment segmentation region in a corresponding comment posting region (game comment region), wherein a schematic diagram of the segmentation region is shown in fig. 6, the lower left corner of the page is taken as an origin of coordinates, and the segmentation region is taken as an occupied region of a vertical distance (y 2-y 1) on the page.
When other users browse the page, if the stay length of the divided area in the page exceeds 3/5 of the length of the page (or other preset values), or the stay time t is greater than or equal to the preset time, judging that the comment is read, and reading the quantity +1, wherein the stay time t can be calculated through the reading speed/6, namely the normal reading speed of a resident is 1 second, the reading speed of 5-8 words is calculated according to the average value of 6 words/second.
In this embodiment, the reply number of comments may be counted directly.
Ranking the reading quantity of the comments and/or the reply quantity of the comments, wherein the higher the ranking is, the higher the attention of the comments is, and the higher the correlation between the corresponding comments and the game content is.
And aiming at comments with high correlation with game contents (pre-ranking preset ranking), reading account information, and after the account information is determined, matching the comments with high game correlation by locating the account of the game user.
In this embodiment, if the game level of the game player is high, for example, the character level is 100, and the game role level of the player has reached more than 60 (more than half of the full level can be regarded as high), the user can also be positioned as a user with great comment on the game, and matching of comments with high game relevance by positioning the account of the game user is realized.
In this embodiment, manually screened comments may also be obtained, and in the screened comments helpful to game improvement, statistics is performed on the frequency of corresponding user accounts, so that users with high frequency of account numbers may be located to be users with great help to the game for the comments, and matching of comments with high game relevance by locating the user accounts of the game is further realized.
And C2, determining the correlation degree of the comments of the comment area and the attribute information of the game based on the processing parameters, the grades of the accounts and the active frequency of the accounts.
In this embodiment, the degree of correlation between the comment of the comment area and the attribute information of the game is determined based on the processing parameter, the level of each account, and the frequency of activity of each account, and specifically, the magnitude of the degree of correlation between the comment of the game comment area and the game is determined based on the reading amount and/or the number of returns, the level of each account, and the duty ratio weight of the degree of correlation corresponding to the frequency of activity of each account.
In this embodiment, by determining processing parameters of each comment in the comment area, and determining a level of each account in the game comment area and an active frequency of each account, the processing parameters include at least one of a reading amount and a return amount; and determining the correlation degree of the comments of the comment area and the attribute information of the game based on the processing parameters, the grades of the accounts and the active frequency of the accounts. In the embodiment, accurate and rapid screening of comments with large correlation is realized.
Further, based on the first embodiment and the second embodiment of the present application, another embodiment of the present application is provided, in which the method for optimizing a game is applied to a server side, and the method for optimizing a game includes:
Step D1, receiving a target comment sent by a server side and a target function module in a splitting function module associated with the target comment;
and D2, optimizing the game based on the target comment and the target function module.
In this embodiment, for the server side, the target comment sent by the server side and the target function module in the splitting function module associated with the target comment are received or determined, and then, the target function module is quickly fed back to the developer, so that the developer can quickly develop the game function in the corresponding comment.
In this embodiment, a target comment sent by a server side and a target function module in a splitting function module associated with the target comment are also received; optimizing the game based on the target comment and the target function module. In this embodiment, the game function in the corresponding comment is quickly developed.
Referring to fig. 3, fig. 3 is a schematic device structure diagram of a hardware running environment according to an embodiment of the present application.
As shown in fig. 3, the game optimization device may include: a processor 1001, such as a CPU, memory 1005, and a communication bus 1002. Wherein a communication bus 1002 is used to enable connected communication between the processor 1001 and a memory 1005. The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Optionally, the game optimization device may further include a rectangular user interface, a network interface, a camera, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a WiFi module, and the like. The rectangular user interface may include a Display screen (Display), an input sub-module such as a Keyboard (Keyboard), and the optional rectangular user interface may also include a standard wired interface, a wireless interface. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface).
Those skilled in the art will appreciate that the game optimization device structure shown in fig. 3 is not limiting of the game optimization device and may include more or fewer components than shown, or certain components in combination, or a different arrangement of components.
As shown in fig. 3, an operating system, a network communication module, and a game optimization program may be included in the memory 1005 as one type of storage medium. An operating system is a program that manages and controls the hardware and software resources of a game optimization device, supporting the running of game optimization programs and other software and/or programs. The network communication module is used to enable communication between components within the memory 1005 and other hardware and software in the game optimization system.
In the game optimization device shown in fig. 3, a processor 1001 is configured to execute a game optimization program stored in a memory 1005, and implement the steps of the game optimization method described in any one of the above.
The specific implementation manner of the game optimization device is basically the same as that of each embodiment of the game optimization method, and is not repeated here.
The present application also provides a game optimizing apparatus including:
the screening module is used for screening comments of the corresponding comment area of the game to obtain target comments;
the first determining module is used for determining a split functional module of the game;
and the association module is used for associating the target comment to the target function module in the splitting function module so that the server-side associated service provider side can optimize the game based on the target comment.
Optionally, the screening module includes:
a first determining unit configured to determine a degree of correlation between comments in the comment area and attribute information of the game, and determine a target account of the game based on the degree of correlation;
and the acquisition unit is used for taking all comments of the target account as target comments of the game.
Optionally, the first determining unit includes:
A first determining subunit, configured to determine processing parameters of each comment in the comment area, and determine a level of each account in the game comment area and an active frequency of each account, where the processing parameters include at least one of a reading amount and a return amount;
and the second determining subunit is used for determining the correlation degree of the comments of the comment area and the attribute information of the game based on the processing parameters, the grades of the accounts and the active frequency of the accounts.
Optionally, the association module includes:
a second determining unit, configured to determine comment attribute information of the target comment;
the positioning unit is used for positioning the target comment to a target function module in the splitting function module based on scene attributes and content attributes in the comment attribute information;
and the association unit is used for associating the target comment with the target function module and marking the target function module so that the server-side associated service provider side optimizes the game based on the target comment.
Optionally, the game optimization device further includes:
the second determining module is used for determining the task type associated with the target comment in the game according to the comment content of the target comment;
And the execution module is used for executing the step of positioning the target comment to the target function module in the split function module based on the scene attribute and the content attribute in the comment attribute information if the task type is a non-branch task type, wherein the target function module comprises an additional function module.
Optionally, the game optimization device further includes:
the calling module is used for calling a preset basic function module in the splitting function module to generate a branch task demonstration sample corresponding to the target comment if the task type is a branch task type;
the marking module is configured to associate the target comment with the target function module, and mark the target function module, so that after the step of optimizing the game based on the target comment, the server associated with the server side includes:
and the third determining module is used for determining a game scene of the branch task demonstration sample, inserting the branch task demonstration sample into a game process corresponding to the game scene, and associating the target comment with the branch task demonstration sample.
The specific implementation manner of the game optimization device is basically the same as that of each embodiment of the game optimization method, and is not repeated here.
The application also provides a game optimizing device which is applied to the service provider end and comprises:
the receiving module is used for receiving the target comment sent by the server and the target function module in the splitting function module associated with the target comment;
and the optimizing module is used for optimizing the game based on the target comment and the target function module.
The specific implementation manner of the game optimization device is basically the same as that of each embodiment of the game optimization method, and is not repeated here.
Embodiments of the present application provide a storage medium, and the storage medium stores one or more programs, which are further executable by one or more processors for implementing the steps of the game optimization method described in any one of the above.
The specific implementation manner of the storage medium of the present application is basically the same as that of each embodiment of the game optimization method, and will not be repeated here.
The application also provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the game optimization method described above.
The specific implementation manner of the computer program product of the present application is basically the same as the above embodiments of the game optimization method, and will not be repeated here.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (8)
1. The game optimization method is characterized by being applied to a server side, and comprises the following steps:
screening comments of the game corresponding to the comment area to obtain target comments;
determining a split functional module of the game;
determining comment attribute information of the target comment;
determining the task type associated with the target comment in the game according to the comment content of the target comment;
if the task type is a branch task type, calling a preset basic function module in the splitting function module to generate a branch task demonstration sample corresponding to the target comment; determining a game scene of the branch task demonstration sample, inserting the branch task demonstration sample into a game process corresponding to the game scene, and associating the target comment with the branch task demonstration sample;
If the task type is a non-branch task type, executing a step of positioning the target comment to a target function module in a split function module based on scene attributes and content attributes in the comment attribute information, wherein the target function module comprises an additional function module;
positioning the target comment to a target function module in a splitting function module based on scene attributes and content attributes in the comment attribute information;
and associating the target comment with the target function module, and marking the target function module so that the server associated with the server optimizes the game based on the target comment.
2. The game optimization method of claim 1, wherein the step of screening comments of the corresponding comment area of the game to obtain the target comments comprises:
determining the degree of correlation between comments in the comment area and the attribute information of the game, and determining a target account of the game based on the degree of correlation;
and taking all comments of the target account as target comments of the game.
3. The game optimization method according to any one of claims 1 to 2, wherein the step of determining a degree of correlation of comments of the comment area with attribute information of the game includes:
Determining processing parameters of each comment in the comment area, and determining the grade of each account in the game comment area and the active frequency of each account, wherein the processing parameters comprise at least one of reading quantity and a return quantity;
and determining the correlation degree of the comments of the comment area and the attribute information of the game based on the processing parameters, the grades of the accounts and the active frequency of the accounts.
4. The game optimization method of claim 1, wherein after the step of determining the task type associated with the target comment in the game, the method comprises:
if the task type is a branch task type, calling a preset basic function module in the splitting function module to generate a branch task demonstration sample corresponding to the target comment;
after the step of associating the target comment with the target function module and marking the target function module for the server side associated with the server side to optimize the game based on the target comment, the method comprises the following steps:
determining a game scene of the branch task demonstration sample, inserting the branch task demonstration sample into a game process corresponding to the game scene, and associating the target comment with the branch task demonstration sample.
5. A game optimization method, which is characterized by being applied to a server side, the game optimization method comprising:
receiving a target comment sent by a server side and a target function module in a splitting function module associated with the target comment;
optimizing the game based on the target comment and the target function module, wherein the server screens comments of a comment area corresponding to the game to obtain the target comment; determining a split functional module of the game; determining comment attribute information of the target comment; determining the task type associated with the target comment in the game according to the comment content of the target comment; if the task type is a branch task type, calling a preset basic function module in the splitting function module to generate a branch task demonstration sample corresponding to the target comment; determining a game scene of the branch task demonstration sample, inserting the branch task demonstration sample into a game process corresponding to the game scene, and associating the target comment with the branch task demonstration sample; if the task type is a non-branch task type, executing a step of positioning the target comment to a target function module in a split function module based on scene attributes and content attributes in the comment attribute information, wherein the target function module comprises an additional function module; positioning the target comment to a target function module in a splitting function module based on scene attributes and content attributes in the comment attribute information; and associating the target comment with the target function module, and marking the target function module so that the server associated with the server optimizes the game based on the target comment.
6. A game optimization device, applied to a server, comprising:
the screening module is used for screening comments of the corresponding comment area of the game to obtain target comments;
the first determining module is used for determining a split functional module of the game;
the association module is used for determining comment attribute information of the target comment; determining the task type associated with the target comment in the game according to the comment content of the target comment; if the task type is a branch task type, calling a preset basic function module in the splitting function module to generate a branch task demonstration sample corresponding to the target comment; determining a game scene of the branch task demonstration sample, inserting the branch task demonstration sample into a game process corresponding to the game scene, and associating the target comment with the branch task demonstration sample; if the task type is a non-branch task type, executing a step of positioning the target comment to a target function module in a split function module based on scene attributes and content attributes in the comment attribute information, wherein the target function module comprises an additional function module; positioning the target comment to a target function module in a splitting function module based on scene attributes and content attributes in the comment attribute information; and associating the target comment with the target function module, and marking the target function module so that the server associated with the server optimizes the game based on the target comment.
7. A game optimization device, characterized in that the game optimization device comprises: a memory, a processor and a program stored on the memory for implementing the game optimization method,
the memory is used for storing a program for realizing the game optimization method;
the processor is configured to execute a program for implementing the game optimization method to implement the steps of the game optimization method according to any one of claims 1 to 5.
8. A storage medium having stored thereon a program for implementing a game optimization method, the program for implementing a game optimization method being executed by a processor to implement the steps of the game optimization method according to any one of claims 1 to 5.
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