WO2020134645A1 - 智能配置游戏资源方法、系统及计算机存储介质、设备 - Google Patents

智能配置游戏资源方法、系统及计算机存储介质、设备 Download PDF

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Publication number
WO2020134645A1
WO2020134645A1 PCT/CN2019/116772 CN2019116772W WO2020134645A1 WO 2020134645 A1 WO2020134645 A1 WO 2020134645A1 CN 2019116772 W CN2019116772 W CN 2019116772W WO 2020134645 A1 WO2020134645 A1 WO 2020134645A1
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WIPO (PCT)
Prior art keywords
game
information
optimal
user
resources
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PCT/CN2019/116772
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English (en)
French (fr)
Inventor
王进进
柯楚鹏
陈辉明
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Guangzhou Baiguoyuan Network Technology Co Ltd
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Guangzhou Baiguoyuan Network Technology Co Ltd
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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
    • A63F13/70—Game security or game management aspects
    • A63F13/79—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/30—Interconnection arrangements between game servers and game devices; Interconnection arrangements between game devices; Interconnection arrangements between game servers
    • A63F13/35—Details of game servers
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/70—Game security or game management aspects
    • A63F13/77—Game security or game management aspects involving data related to game devices or game servers, e.g. configuration data, software version or amount of memory

Definitions

  • the present application relates to the technical field of online games. Specifically, the present application relates to a method for intelligently configuring game resources, computer storage media, and computer equipment.
  • the number of web game users on the mobile terminal is increasing, but users can only pull a fixed sequence of game configuration lists on the web page, resulting in the inability to quickly locate their favorite games, that is, according to user preferences and use Factors such as frequency dynamically change the order of the game list.
  • the webview of existing web games relies heavily on network resources to load game resources. If the network environment is poor, the game loading time becomes longer, which reduces the user's game experience.
  • webview will cache game resources after loading the game on the network, because the web's own caching mechanism will limit the size of the cache space, the cache content cannot be controlled, so that the historical cached game resources may be replaced by other cached game resources.
  • WebView also includes another cache mechanism-Application Cache, but the mechanism is poorly updated, for example: changing the manifest address may cause the old version of the cache to never be updated, and the rules of use are more secret, and the official is not recommended; Users can also use the file protocol to load game resources, but the file protocol may lead to leakage of private information such as cookies, and there are security issues.
  • this application provides a method for intelligently configuring game resources, computer storage media, and computer equipment.
  • Massive data through the cloud can only be analyzed and game resource configuration, and the analyzed games that match the user's favorite ,
  • When the network status is idle perform a pre-download to the local, to achieve self-cache control to load local resources.
  • An embodiment of the present application provides a method for intelligently configuring game resources according to the first aspect, including:
  • An embodiment of the present application provides a method for intelligently configuring game resources according to the second aspect, including:
  • the optimal game configuration resource is determined by matching the game information and the user feature information with the game information and user feature information in a preset database according to a preset matching rule;
  • a game data packet of the optimal game configuration resource is downloaded from a server at a preset download node.
  • an embodiment of the present application provides a system for intelligently configuring game resources, including: a server and a client,
  • the server is used to obtain the game information of the client and the user feature information of the user in the game; match the game information and the user feature information with the game information and the user feature information in a preset database according to a preset matching rule To determine the optimal game configuration resource; push the optimal game configuration resource to the client;
  • the client terminal is used to obtain an optimal game configuration resource pushed by the server.
  • the optimal game configuration resource is obtained by matching the game information and the user feature information with the game information in the preset database according to a preset matching rule and The user's characteristic information is determined by matching; comparing the optimal game configuration resource with the current game configuration resource; when the optimal game configuration resource is better than the current game configuration resource, download the location from the server at the preset download node The game data packet of the optimal game configuration resource.
  • an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored.
  • the program is executed by a processor, the method for intelligently configuring game resources described in any one of the above technical solutions is implemented.
  • an embodiment of the present application provides a computer device.
  • the computer device includes:
  • One or more processors are One or more processors;
  • Storage device for storing one or more programs
  • the one or more processors implement the method for intelligently configuring game resources described in any one of the foregoing technical solutions.
  • the game provides the version field and the user's feature information in the game to the game configuration list.
  • the update makes it easier and more convenient to update the game configuration resources in conjunction with the client, which greatly improves the user experience, and at the same time, because the user's privacy information is not collected, the user's privacy information is also better protected.
  • the optimal game configuration resource pushed by the server compare the optimal game configuration resource with the current game configuration resource; when the optimal game configuration resource is superior to the current game configuration Resource, download the game data package of the optimal game configuration resource from the server at the preset download node; obtain the game configuration resource pushed by the cloud, and compare with the local game configuration resource of the client, the game configuration pushed in the cloud
  • the game data package of the game configuration resources pushed by the cloud is downloaded to avoid directly downloading the game configuration resources without comparison , Wasting user traffic and the cache space of the client; at the same time, in order to improve the user experience and prevent users from downloading games every time they make a web game list, this application downloads their pushed games from the server (cloud) at the preset download node Configure resources, this operation saves the user's time and traffic to load the game, reduces the user's time to load the game, and
  • FIG. 1 is a schematic flowchart of an implementation manner of a cloud in a method for intelligently configuring game resources according to an embodiment of this application;
  • FIG. 2 is a schematic flowchart of another implementation manner of the cloud in the method for intelligently configuring game resources according to an embodiment of the present application;
  • FIG. 3 is a schematic flowchart of another implementation manner of the cloud in the method for intelligently configuring game resources according to an embodiment of the present application;
  • FIG. 4 is a schematic flowchart of an implementation manner of a client in a method for intelligently configuring game resources according to an embodiment of this application;
  • FIG. 5 is a schematic flowchart of another implementation manner of a client in the method for intelligently configuring game resources according to an embodiment of the present application
  • FIG. 6 is a schematic flowchart of another implementation manner of a client in the method for intelligently configuring game resources according to an embodiment of this application;
  • FIG. 7 is a schematic diagram of interaction between a cloud, a mobile terminal, and a client according to an embodiment of this application;
  • FIG. 8 is a schematic flowchart of another implementation manner of a client in the method for intelligently configuring game resources according to an embodiment of the present application
  • FIG. 9 is a schematic diagram of a cloud structure of an apparatus for intelligently configuring game resources according to an embodiment of this application.
  • FIG. 10 is a schematic structural diagram of a client of an apparatus for intelligently configuring game resources according to an embodiment of this application;
  • FIG. 11 is a schematic diagram of information interaction of an intelligent game resource allocation system according to an embodiment of the present application.
  • FIG. 12 is a schematic structural diagram of a computer device according to an embodiment of the present application.
  • the intelligent configuration of game resources combines the client and the cloud to form a system for intelligent configuration of game resources, improve the user's game experience, and further, through the collection of information on the mobile terminal, the operation background configuration of some strategies, Scene analysis, combined with the massive data analysis capabilities of the cloud, users can pull the game configuration and game resources from the cloud intelligent analysis at the right time, and use compression solutions to compress game resources, reduce network traffic consumption, and speed up transmission.
  • the original system caching scheme is improved by using the Android system's WebView interception request mechanism to implement self-caching control and load local resources.
  • a method for intelligently configuring game resources includes the steps of:
  • the first aspect of the present application is based on the cloud for intelligently configuring game resources.
  • the cloud obtains the game information reported by the client and the user's user feature information in the game.
  • the game information mainly includes the game type, game identification, network information, etc.
  • the network information is mainly the current network situation: such as network transmission Speed, WiFi or mobile network, whether the user performs other operations via the network; user characteristic information includes: user's gender in the game, user's location information, user's stay time on the game page, etc., where the user's location information is preferably specific
  • the latitude and longitude can also be the district/county, street, street number, etc. of a specific city.
  • the cloud can push the configured game resources to the user's client playing the game according to the user's game information and user feature information.
  • the embodiments provided in this application are mainly applied to mobile web games (H5 games).
  • H5 games mobile web games
  • the configuration resources include game resources that the user has played and/or game resources that the user has not played.
  • S120 Match the game information and the user feature information with the game information and user feature information in a preset database according to a preset matching rule to determine an optimal game configuration resource;
  • the cloud database includes multiple games and game versions
  • the user's game information and user feature information are analyzed to determine other popular games or updates that are similar to the user's preferences
  • the version of the game played by the user determines the optimal game configuration resource.
  • the preset matching rule is a game configuration resource within the preset distance that is of the same type as the current game and opposite to the user's gender in the game.
  • the game resources can be configured according to a preset matching rule, that is, match the game information obtained by the cloud with the game information in the cloud database, And/or match the user characteristic information obtained from the cloud with the user information in the database.
  • a preset matching rule that is, match the game information obtained by the cloud with the game information in the cloud database, And/or match the user characteristic information obtained from the cloud with the user information in the database.
  • the cloud analyzes the characteristics of the user from the dimensions of the region, game type, and gender through game information and user feature information, and intelligently matches the game list most suitable for the user from the matching library through matching rules.
  • the priority order of the matching rule is: geographic location, games of the same type, gender, and the matching rule is: according to the user's request, centered on the geographic location reported by the user, and the most frequently opened game type within 100 kilometers, followed by priority Select the opposite sex game, and finally return to the most suitable game list.
  • step S110 after acquiring the game information of the client and the user characteristic information of the user in the game, the method includes:
  • S122 Determine the preset configuration resource as the optimal game configuration resource.
  • the cloud mainly configures game resources through game information and user feature information.
  • the configuration personnel are determined based on the game information and user feature information
  • the preset default configuration resource that is, the aforementioned preset configuration resource, can determine the default resource configuration as the optimal game configuration resource.
  • the default configuration resource is determined based on the configuration personnel.
  • the optimal game configuration resources include game configuration resources higher than the current game version and/or game configuration resources of other games in the game list. That is, when the version of the game played by the user is lower than the version in the cloud matching library, the optimal game configuration resource includes the game version higher than the game played by the user, and the optimal game configuration resource may also include the game information and user characteristics. The information determines the game list of other games.
  • the order in the game list can be determined based on the aforementioned matching rules, that is, games of the same type and opposite sex that are closest to the user's geographic location can be ranked at the top of the game list to facilitate the user Based on the games recommended in the game list, the user's favorite games can be quickly selected, thereby improving the user experience.
  • the optimal game configuration resources determined in the cloud are pushed to the client to facilitate the client when the network is idle or When the user clicks to download the game, the game is downloaded, so that the client can load the local game resources through the self-cache control function, which saves the user traffic and less game waiting time.
  • an exemplary collected game configuration result field definition can be as follows:
  • gameId game ID
  • gameType game type, 1 represents competitive category, 2 represents puzzle category, etc.;
  • gameName game name
  • md5 md5 of game resources, used to check the integrity of loaded resources
  • iconUrl game display icon
  • gameResUrl game resource url
  • the game configuration resources are more simple and convenient, and the user does not need to manually update and download each time, which improves the user experience.
  • the user's player information is collected in the game, and the user's private information is not collected, the user's private information is better protected, the security of the user's private information is enhanced, and the user's private information is prevented from being leaked .
  • a possible implementation manner after step S130, as shown in FIG. 3, after pushing the optimal game configuration resource to the client, includes:
  • S140 Obtain the game information in the sample game and the user characteristic information of the user in the sample game;
  • S150 Calibrate the optimal game configuration resource according to the game information in the sample game and the user characteristic information of the user in the sample game.
  • the cloud analyzes the user's game information and user feature information based on the big data obtained by the cloud , Makes the analyzed optimal game configuration resources more in line with the positioning of users, the cloud calibrates the optimal game resources that have been pushed to the client based on the game configuration resources analyzed by big data, and improves the accuracy of the game configuration resources pushed by the cloud Sex, more in line with user preferences, and further improve user experience.
  • step S130 that is, after the optimal game configuration resource is pushed to the client, includes:
  • the optimal game configuration resource is transmitted to the client's game data packet.
  • the client when the client sends a resource acquisition request to the cloud, that is, a request to update the game in the client's game list, the game data packet of the optimal game configuration resource is transmitted to the client, so that the user can Obtain the optimal game configuration resources.
  • step S130 that is, the optimal game configuration resource is pushed to the client, including:
  • Compress the game data packet of the optimal game configuration resource and push the compressed game data packet of the optimal game configuration resource to the client.
  • the game data packet of the optimal game configuration resource is compressed, and the compressed game data packet of the optimal game configuration resource is pushed to the client.
  • This method can also speed up the transmission Speed, especially when the user manually updates the game, can reduce the game loading time, that is, reduce the user's waiting time, and further improve the user's experience.
  • the embodiment of the present application provides a method for intelligently configuring game resources.
  • the following description of the present application mainly introduces the method for intelligently configuring game resources from the perspective of the client, as shown in FIG. 4, including:
  • S210 Obtain the optimal game configuration resource pushed by the server, and the optimal game configuration resource is determined by matching the game information and the user feature information with the game information and user feature information in a preset database according to a preset matching rule ;
  • the client obtains the optimal game configuration resources pushed by the server.
  • the server is a cloud.
  • the client does not download the optimal game configuration resources, but obtains the brief information of the optimal game configuration resources, such as Version information, game type, game logo, game name, game display icon, etc.
  • This method is convenient to compare the game configuration resource pushed by the cloud with the local game resource of the client before the client downloads the game configuration resource. Downloading game configuration resources directly without comparison wastes user traffic and client's cache space.
  • the optimal game configuration resources are determined by the server-side (cloud) smart game resource configuration method of the embodiment of this application. I will not repeat them here.
  • step S210 when the optimal game configuration resource is obtained, in order to avoid downloading the game configuration resource directly without comparison, wasting user traffic and the cache space of the client, the optimal game configuration resource is compared with the current game configuration resource Compare, for example, compare the version number in the optimal game configuration resource with the client's local game resource version number, determine whether the client's game version is lower than the version of the game configuration resource pushed by the cloud, or find whether the client has the cloud Pushed resource package for game resource configuration; when the game version of the client is lower than the version of the game configuration resource pushed by the cloud, or the client does not have a resource package for the game resource configuration pushed by the cloud, you can download the game configuration resource pushed by the cloud.
  • step S220 when the optimal game configuration resource pushed by the cloud is better than the current game configuration resource local to the client, that is, when the game version of the client is lower than the version of the game configuration resource pushed by the cloud, or When there is no resource package of the game resource configuration pushed by the cloud on the client, the game data package of the game configuration resource pushed by the cloud can be downloaded.
  • the application can download the game configuration resources pushed by the server (cloud) from a preset download node.
  • the preset download node can be set by the user or by the R&D personnel. For details, see the following, which will not be repeated here.
  • the downloading of the game data package of the optimal game configuration resource from the server at the preset download node includes:
  • the game data packet is downloaded from the disconnection point of the game data packet of the previous preset download node of the current preset download node.
  • the game data package download of the game configuration resources is performed from the last disconnected location, such as using the breakpoint download function to load the optimal game configuration resources
  • the game data package can avoid repeated downloading of resources occupying the client's memory and improve the utilization of local memory.
  • the downloading of the game data package of the optimal game configuration resource from the server at the preset download node includes:
  • the terminal where the client is located does not currently have an access request based on the http protocol and TCP/IP, download the optimal game configuration resource from the server; or in response to a resource acquisition request triggered by the user, download the optimal game configuration resource from the server .
  • this application can download the game configuration resources pushed by them from a server (cloud) at a preset download node.
  • the terminal where the client is located can download the game data packet of the optimal game configuration resource from the server when the network is idle (http and the client's communication protocol (tcp) has no request), and when the network state is idle Perform a pre-download to the local, the download method can be downloaded through the aforementioned power off function, when opening the game, you can use this application to load local resources, so that the user can download the game data package without perception, making the user enter the game more Convenient, because the game configuration resources are downloaded in advance, it can reduce the time for the user to load the game and further improve the user experience; in another embodiment, the game data package can also be downloaded based on the user's needs, that is, the user is in the customer When you open the game list and click the game, you can
  • step S230 after the level preset download node downloads the game data package of the optimal game configuration resource from the server, it includes:
  • the game data packets downloaded to the client's local game configuration resources and the cloud pushed game configuration resources need to be compared and verified, provided in this application
  • the md5 of the local game configuration resource of the client is obtained, that is, the summary information of the game configuration resource, where md5 may be called a message digest algorithm or a hash algorithm. Comparing the summary information of the game data package of the local game configuration resource with the summary information pushed by the cloud through md5, you can verify the integrity and consistency of the game resource. When the two are consistent, it means that the local game configuration resource of the client is If it is complete, the subsequent steps can be performed.
  • the game data package of the optimal game configuration resource pushed by the cloud can be downloaded from the cloud again at the preset download node. Further, when the cloud transmits the optimal game resources to the client in the form of a compressed package, after the client's game configuration resources are calibrated to be complete, the client decompresses the optimal game configuration resource compressed package to realize the cloud.
  • the self-caching function of the pushed game data packet of the optimal game resource facilitates later loading of game resources through local resources, reduces the time for users to load games, and improves the user experience.
  • step S230 after the preset download node downloads the game data package of the optimal game configuration resource from the server, it includes:
  • the meaning of the client triggering this configuration is: when the current version number of the client is lower than the configured version or there is no downloaded resource package locally, the client will be idle when the network is idle (HTTP and TCP in the application do not request ) Or open the game list and click the game, use the breakpoint download function to load the resource package of gameResUrl. After the download is complete, verify that the local resource md5 is consistent with the cloud configuration. When they are consistent, the optimal game configuration resource is decompressed, and Use self-caching (see Figure 7) to control loading local game resources of the mobile terminal where the client is located.
  • the client loads the game
  • use the shouldInterceptRequest() method in WebView to intercept the requested url, and point the corresponding url to the local resource file directory through matching logic, load the local game resource, and implement the function of self-cache control of local resources.
  • the corresponding game configuration resources are obtained through fault tolerance technology to ensure that game resources can be loaded normally, and other operations such as statistics can also be performed to facilitate subsequent expansion of other functions.
  • step S210 before obtaining the optimal game configuration resource pushed by the server, the method includes:
  • S212 Transmit the game information and the user feature information of the user in the game to the server.
  • the client extracts game information and user feature information in the game, and combines the game information and
  • the user characteristic information is transmitted to the server, so that the cloud can analyze the user's characteristics from the dimensions of region, game type, and gender through reported data, and match rules to match the most suitable game list from the matching library.
  • this application also provides a device for intelligently configuring game resources.
  • the specific implementation of the device of this application will be described in detail below in conjunction with the drawings.
  • the present application further provides a device for intelligently configuring game resources, including
  • the information obtaining module 110 is used to obtain the game information of the client and the user characteristic information of the user in the game;
  • the optimal game configuration resource determination module 120 is configured to match the game information and the user feature information with the game information and user feature information in a preset database according to a preset matching rule to determine the optimal game configuration resource;
  • the pushing module 130 is configured to push the optimal game configuration resource to the client.
  • the optimal game configuration resource determination module includes:
  • a preset configuration resource unit configured to determine a preset configuration resource according to the game information and the user characteristic information
  • the determining unit is configured to determine the preset configuration resource as the optimal game configuration resource.
  • a possible implementation manner further includes:
  • a sample information obtaining module configured to obtain game information in a sample game and user feature information of the user in the sample game
  • the calibration module is configured to calibrate the optimal game configuration resource according to the game information in the sample game and the user characteristic information of the user in the sample game.
  • a possible implementation manner further includes:
  • the first transmission module is configured to transmit the game data packet of the optimal game configuration resource to the client in response to the resource acquisition request of the client.
  • a possible implementation manner further includes:
  • the compression module is configured to compress the game data packet of the optimal game configuration resource, and push the compressed game data packet of the optimal game configuration resource to the client.
  • the present application further provides an apparatus for intelligently configuring game resources, including:
  • the optimal game configuration resource obtaining module 210 is used to obtain the optimal game configuration resource pushed by the server.
  • the optimal game configuration resource is obtained by matching the game information and the user characteristic information with a preset database according to a preset matching rule The game information and user feature information are matched and determined;
  • the comparison module 220 is used to compare the optimal game configuration resource with the current game configuration resource
  • the download module 230 is configured to download the game data package of the optimal game configuration resource from the server at a preset download node when the optimal game configuration resource is superior to the current game configuration resource.
  • the download module includes:
  • the first downloading unit is configured to download the game data packet from the disconnection point of the game data packet of the previous preset download node of the current preset download node when the current preset download node is reached.
  • the download module further includes:
  • the second download unit is used to download the game data package of the optimal game configuration resource from the server if it is confirmed that the terminal where the client is located does not currently have an access request based on the http protocol and TCP/IP; or in response to a resource acquisition request triggered by the user , Download the game data package of the optimal game configuration resource from the server.
  • a possible implementation manner further includes:
  • a summary information obtaining module used to obtain the summary information of the downloaded game data package
  • the summary information comparison module is used to compare the summary information with the summary information of the optimal game configuration resources pushed by the server;
  • a re-downloading module for re-downloading the game data package of the optimal game configuration resource from the server at the preset download node when the summary information is inconsistent with the summary information of the optimal game configuration resource pushed by the server .
  • a possible implementation manner further includes:
  • the load request link acquisition module is used to obtain the game load request link according to the preset interception method
  • the loading module is configured to load the game data package of the optimal game configuration resource according to the file directory.
  • a possible implementation manner further includes:
  • Extraction module for extracting game information and user feature information of users in the game
  • the second transmission module is used to transmit the game information and the user characteristic information of the user in the game to the server.
  • the device for intelligently configuring game resources of this embodiment can implement the above-described embodiment of the method for intelligently configuring game resources.
  • the present application also provides a system for intelligently configuring game resources, including: a server and a client, the server is used to obtain the game information of the client and the user feature information of the user in the game; the game information and the user feature The information is matched with game information and user feature information in a preset database according to a preset matching rule to determine an optimal game configuration resource; the optimal game configuration resource is pushed to a client; the client terminal is used to obtain a server The optimal game configuration resource to be pushed.
  • the optimal game configuration resource is determined by matching the game information and the user feature information with the game information and user feature information in a preset database according to a preset matching rule; Comparing the optimal game configuration resource with the current game configuration resource; when the optimal game configuration resource is superior to the current game configuration resource, download the game data of the optimal game configuration resource from the server at a preset download node package.
  • the interaction process between the client and the cloud and the operating background and configuration personnel in the system is as follows: the configuration personnel performs A to perform game information Configuration, the client executes B to report (transmit) game information and user feature information to the cloud, such as the user's gender in the game, user location information, and game type information. Afterwards, in order to realize the configuration of game resources, the cloud executes C to operate Read the corresponding game configuration resources in the background, and according to the results of the cloud reading, the operation background executes D to return the game configuration resources read from the cloud to the cloud, and the cloud uses E to upload the game information and user feature information uploaded by the client.
  • the configuration personnel performs A to perform game information Configuration
  • the client executes B to report (transmit) game information and user feature information to the cloud, such as the user's gender in the game, user location information, and game type information.
  • the cloud executes C to operate Read the corresponding game configuration resources in the background, and according to the results of the cloud reading, the operation background executes D to return the
  • the client executes H to report the game type, time consumption, user information, etc. to the cloud for statistics.
  • the cloud performs I to analyze the data reported by the client, analyze user behavior through big data, etc., and perform intelligent configuration calibration for different users.
  • the cloud analyzes the reported data
  • the big data platform analyzes user behavior, and makes game configurations for different regions, genders, and game types.
  • Calibration according to the frequency and preference of users with certain characteristics, constantly adjust the intelligent matching game configuration resources, and constantly evolve the game configuration resource database.
  • Embodiments of the present application also provide a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, a method for intelligently configuring game resources of the terminal described above is implemented.
  • the storage medium includes, but is not limited to, any type of disk (including floppy disk, hard disk, optical disk, CD-ROM, and magneto-optical disk), ROM (Read-Only Memory, read-only memory), RAM (Random Access Memory, immediately Memory), EPROM (Erasable Programmable Read-Only Memory, erasable programmable read-only memory), EEPROM (Electrically Erasable Programmable Read-Only Memory, electrically erasable programmable read-only memory), flash memory, magnetic cards or light cards. That is, the storage medium includes any medium that stores or transmits information in a readable form by a device (for example, a computer). It can be read-only memory, magnetic disk or optical disk.
  • An embodiment of the present application also provides a computer device.
  • the computer device includes:
  • One or more processors 510 are included in the central processing unit 510;
  • the storage device 520 is used to store one or more programs 500,
  • the one or more processors 510 When the one or more programs 500 are executed by the one or more processors 510, the one or more processors 510 implement the above-mentioned method for intelligently configuring game resources of the terminal.
  • FIG. 12 is a schematic structural diagram of a computer device of the present application, including a processor 510, a storage device 520, an input unit 530, a display unit 540, and other devices.
  • the storage device 520 may be used to store the application program 500 and each functional module, and the processor 510 runs the application program 500 stored in the storage device 520 to execute various functional applications and data processing of the device.
  • the storage device 520 may be an internal memory or an external memory, or include both internal and external memory.
  • the internal memory may include read-only memory, programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, or random access memory.
  • the external memory may include hard disks, floppy disks, ZIP disks, U disks, magnetic tapes, etc.
  • the storage devices disclosed in this application include but are not limited to these types of storage devices.
  • the storage device 520 disclosed in this application is only an example and not a limitation.
  • the input unit 530 is used to receive input of signals, and receive related requests such as selection of voice files input by the user.
  • the input unit 530 may include a touch panel and other input devices.
  • the touch panel can collect the user's touch operations on or near it (such as the user's operation with any suitable objects or accessories such as fingers, stylus, etc. on or near the touch panel), and according to the preset
  • the program drives the corresponding connection device; other input devices may include but are not limited to one or more of a physical keyboard, function keys (such as playback control keys, switch keys, etc.), trackball, mouse, joystick, etc.
  • the display unit 540 may be used to display information input by the user or information provided to the user and various menus of the computer device.
  • the display unit 540 may take the form of a liquid crystal display, an organic light emitting diode, or the like.
  • the processor 510 is the control center of the computer equipment, and uses various interfaces and lines to connect the various parts of the entire computer, by running or executing the software programs and/or modules stored in the storage device 520, and calling the data stored in the storage device , Perform various functions and process data.
  • the computer device includes one or more processors 510, and one or more storage devices 520, one or more application programs 500, wherein the one or more application programs 500 are stored in the storage device 520 And is configured to be executed by the one or more processors 510, and the one or more application programs 500 are configured to execute the method for intelligently configuring game resources described in the above embodiments.
  • steps in the flowchart of the drawings are displayed in order according to the arrows, the steps are not necessarily executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, and the order of execution is also It is not necessarily carried out sequentially, but may be executed in turn or alternately with at least a part of other steps or sub-steps or stages of other steps.

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Abstract

一种智能配置游戏资源方法、计算机存储介质和计算机设备；该方法包括：获取客户端的游戏信息以及用户在游戏中的用户特征信息（S110）；将游戏信息和用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息进行匹配，确定最优游戏配置资源（S120）；将最优游戏配置资源推送给客户端（S130）。所述方法使用云端配置游戏资源，并利用海量数据智能分析，对分析出来的热门游戏推送给客户端，以便于客户端网络状态空闲时进行一遍预下载到本地，打开游戏时通过自缓存控制加载本地资源，解决了拉取固定游戏配置列表的问题。通过游戏version字段以及用户特征信息对游戏配置列表进行更新，简化了游戏更新，提高了用户体验，更好地保护用户隐私信息。

Description

智能配置游戏资源方法、系统及计算机存储介质、设备 技术领域
本申请涉及网络游戏技术领域，具体而言，本申请涉及一种智能配置游戏资源方法、计算机存储介质和计算机设备。
背景技术
目前，移动端的web游戏用户量越来越大，但用户只能在web页面拉取固定顺序的游戏配置列表，导致由于不能够快速地定位到自己喜欢的游戏，即不能根据用户的喜好及使用频次等因素动态改变游戏列表顺序。另外，现有的web游戏的webview非常依赖于网络资源加载游戏资源，如果网络环境较差，导致游戏加载时间变长，降低了用户的游戏体验。虽然webview在网络加载游戏之后则会缓存游戏资源，由于web本身缓存机制会限制缓存空间的大小，导致缓存内容无法控制，使得历史缓存的游戏资源可能被其他缓存的游戏资源给替换掉，在下一次用户打开游戏时，则需要重新通过网络加载游戏，导致用户每次打开游戏，都需要从云端加载图片、网页及声音等游戏资源，浪费用户流量，增加等待时间。在WebView中还包括了另一种缓存机制——Application Cache，但是该机制更新较差，比如：更改manifest地址可能会导致旧版本缓存永远无法更新，而且使用规则较为隐秘，官方亦不推荐使用；用户也可以通过使用file协议加载游戏资源，但是通过该file协议可能会导致cookie等隐私信息泄露，存在安全问题。
发明内容
本申请针对现有技术的缺点，提供了一种智能配置游戏资源方法、计算机存储介质和计算机设备，通过云端进行海量数据只能分析和游戏资源配置，对分析出来的与用户喜欢相匹配的游戏，在网络状态空闲时进行一 遍预下载到本地，实现自缓存控制加载本地资源。
本申请实施例根据第一方面提供了一种智能配置游戏资源方法，包括：
获取客户端的游戏信息以及用户在游戏中的用户特征信息；
将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息进行匹配，确定最优游戏配置资源；
将所述最优游戏配置资源推送给客户端。
本申请实施例根据第二方面提供了一种智能配置游戏资源方法包括：
获取服务器推送的最优游戏配置资源，所述最优游戏配置资源通过将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息匹配确定；
将所述最优游戏配置资源与当前游戏配置资源进行对比；
当所述最优游戏配置资源优于所述当前游戏配置资源时，在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包。
本申请实施例根据第三方面，提供了一种智能配置游戏资源系统，包括：服务器和客户端，
所述服务器用于获取客户端的游戏信息以及用户在游戏中的用户特征信息；将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息进行匹配，确定最优游戏配置资源；将所述最优游戏配置资源推送给客户端；
所述客户端终端用于获取服务器推送的最优游戏配置资源，所述最优游戏配置资源通过将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息匹配而确定；将所述最优游戏配置资源与当前游戏配置资源进行对比；当所述最优游戏配置资源优于所述当前游戏配置资源时，在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包。
本申请实施例根据第四方面，提供了一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述任一技术方案所述的 智能配置游戏资源方法。
本申请实施例根据第五方面，提供了一种计算机设备，所述计算机设备包括：
一个或多个处理器；
存储装置，用于存储一个或多个程序，
当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器实现上述任一技术方案所述的智能配置游戏资源方法。
1、在本申请实施例中，获取客户端的游戏信息以及用户在游戏中的用户特征信息；将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息进行匹配，确定最优游戏配置资源；将所述最优游戏配置资源推送给客户端。本申请使用云端配置游戏资源，并利用海量数据智能分析，对分析出来的热门游戏，将其推送给客户端，以便于客户端网络状态空闲时进行一遍预下载到本地，打开游戏时使用本方案中的自缓存控制加载本地资源。通过本申请可以智能的调整游戏配置列表，解决了拉取固定游戏配置列表的问题，云端在进行数据分析的过程中，由于是通过游戏提供version字段以及用户在游戏中的特征信息对游戏配置列表进行更新，使得可以结合客户端更简单方便地进行游戏配置资源的更新，极大地提高了用户体验，同时由于未采集用户隐私信息，进而也较好地保护了用户的隐私信息。
2、在本申请实施例中，获取服务器推送的最优游戏配置资源；将所述最优游戏配置资源与当前游戏配置资源进行对比；当所述最优游戏配置资源优于所述当前游戏配置资源时，在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包；通过获取云端推送的游戏配置资源，并与客户端本地的游戏配置资源进行对比，在云端推送的游戏配置资源优于客户端本地的游戏配置资源时，或者客户端不存在云端推送光的游戏配置资源时，才下载云端推送的游戏配置资源的游戏数据包，避免在无对比情况下直接下载游戏配置资源，浪费用户流量以及客户端的缓存空间；同时为了提高用户体验，避免用户每次进行web游戏列表时，才进行游戏的下载，本申请在预设的下载节点从服务器(云端)下载其推送的游戏配置资源，该操作同时节省了用 户加载游戏的时间和流量，减少用户加载游戏的时间，也实现了客户端的自缓存实现游戏配置资源的更新和缓存，解决了加载游戏资源时多次请求网络，WebView缓存的痛点——无法控制缓存内容，进行缓存命中统计及及时更新等问题。
本申请附加的方面和优点将在下面的描述中部分给出，这些将从下面的描述中变得明显，或通过本申请的实践了解到。
附图说明
本申请上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解，其中：
图1为本申请一个实施例的智能配置游戏资源方法中云端的一种实施方式的流程示意图；
图2为本申请一个实施例的智能配置游戏资源方法中云端的又一种实施方式的流程示意图；
图3为本申请一个实施例的智能配置游戏资源方法中云端的又一种实施方式的流程示意图；
图4为本申请一个实施例的智能配置游戏资源方法中客户端的一种实施方式的流程示意图；
图5为本申请一个实施例的智能配置游戏资源方法中客户端的又一种实施方式的流程示意图；
图6为本申请一个实施例的智能配置游戏资源方法中客户端的又一种实施方式的流程示意图；
图7为本申请一个实施例的云端、移动终端、客户端的交互示意图；
图8为本申请一个实施例的智能配置游戏资源方法中客户端的又一种实施方式的流程示意图；
图9为本申请一个实施例的智能配置游戏资源装置的云端结构示意图；
图10为本申请一个实施例的智能配置游戏资源装置的客户端结构示意图；
图11为本申请一个实施例的智能配置游戏资源系统的信息交互示意图；
图12为本申请一种实施例的计算机设备的结构示意图。
具体实施方式
在本申请实施例中，智能配置游戏资源将客户端和云端结合在一起形成智能配置游戏资源的系统，提高用户的游戏体验，进一地，通过对移动端的信息采集，运营后台配置一些策略，场景分析，再结合云端的海量数据分析能力，用户可以在合适的时机拉取云端智能分析后的游戏配置及游戏资源，并使用压缩方案对游戏资源进行压缩，减少网络流量消耗，加快传输速度，每次打开游戏时，通过使用Android系统本身的WebView拦截请求机制改进原有的系统缓存方案，实现自缓存控制，加载本地资源。
以下从分别从云端和客户端的角度，结合附图对本申请的具体实施方式进行详细介绍。
如图1所示，在一个实施例中，一种智能配置游戏资源方法，包括步骤：
S110：获取客户端的游戏信息以及用户在游戏中的用户特征信息；
本申请的第一方面基于云端实现智能配置游戏资源。在该步骤中，云端获取客户端上报的游戏信息和用户在游戏中的用户特征信息，其中，游戏信息主要包括游戏类型、游戏标识、网络信息等，网络信息主要为当前网络情况：如网络传输速度、WiFi或者移动网络、用户是否通过网络进行其他操作；用户特征信息包括：用户在游戏中的性别、用户的位置信息、用户在游戏页面的停留时间等，其中用户的位置信息优选为具体的经纬度，还可以为具体城市的区/县、街道、街道号等。以便于云端能够根据用户的游戏信息和用户特征信息向用户玩游戏的客户端推送配置的游戏资源。本申请提供的实施例主要应用于移动端的web游戏(H5游戏)，每次用户进入游戏webview时，常规情况是先进入web游戏配置列表，该列表中包括用户玩过的游戏和/或云端推送的游戏。因此，配置资源包括用户玩过的游戏资源和/或用户未玩过的游戏资源。
S120：将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息进行匹配，确定最优游戏配置资源；
由于云端数据库中包括了多种游戏以及游戏版本等，在云端获取到游戏信息和用户特征信息之后，则对用户的游戏信息和用户特征信息进行分析，确定和用户喜好相近的其他热门游戏或者更新用户玩过游戏的版本，即确定最优的游戏配置资源。
可选地，所述预设匹配规则为预设距离内与当前游戏为同类型且与用户在游戏中的性别相反的游戏配置资源。
为了使得云端能够快速地进行游戏资源的配置，在本申请中通过实施例中，可以按照预设匹配规则进行游戏资源的配置，即将云端获取到的游戏信息与云端数据库中的游戏信息进行匹配，和/或将云端获取到的用户特征信息与数据库中用户信息进行匹配。例如：云端通过游戏信息和用户特征信息，分别从地区、游戏类型及性别等维度分析该用户的特征，通过匹配规则，从匹配库中智能匹配最适合该用户的游戏列表。该匹配规则的优先级顺序是：地理位置，同类型游戏，性别，匹配规则是：根据用户的请求，以用户上报的地理位置为中心，方圆100公里内打开频次最多的游戏类型，其次，优先选择异性游戏，最终返回最适配的游戏列表。
可选地，一种可能的实施方式，在步骤S110之后，如图2所示，获取客户端的游戏信息以及用户在游戏中的用户特征信息之后，包括：
S121：依据所述游戏信息和所述用户特征信息确定预设配置资源；
S122：将所述预设配置资源确定为所述最优游戏配置资源。
在前述说明中，云端主要是通过游戏信息和用户特征信息进行游戏资源的配置，在不满足前述的匹配规则时，为了能够向客户端推送游戏资源，则基于游戏信息和用户特征信息确定配置人员预设置的默认配置资源，即前述预设配置资源，则可以将该默认资源配置确定为最优游戏配置资源，具体的，该默认配置资源基于配置人员确定。
在前述的基础上，可以确定的是最优游戏配置资源包括高于当前游戏版本的游戏配置资源和/或游戏列表中其他游戏的游戏配置资源。即用户玩过游戏的版本低于云端匹配库中的版本时，最优游戏配置资源中包括高于用户玩 过游戏的游戏版本，该最优游戏配置资源中还可以包括根据游戏信息和用户特征信息确定的包括其他游戏的游戏列表，游戏列表中的排序通过可以基于前述的匹配规则确定，即可以将与用户地理位置最接近的同类型且异性的游戏排在游戏列表的最前，以便于用户可以基于该游戏列表中推荐的游戏快速地选定用户喜欢的游戏，进而提高用户体验。通过前述方法实现了在web网页的webview中不同的用户具有不同的游戏列表，解决了当前智能拉去固定游戏配置列表的问题。
S130：将所述最优游戏配置资源推送给客户端。
在确定了最优游戏配置资源之后，为了提高用户体验，避免用户进入web网页中进行游戏资源的查找，将在云端确定的最优游戏配置资源推送给客户端，便于客户端在网络闲时或者用户点击下载游戏时进行游戏的下载，便于客户端通过自缓存控制功能加载本地游戏资源，为用户节省流量和较少游戏的等待时间。
结合前述说明，云端主要通过游戏版本的相关字段进行游戏资源的更新，即对游戏配置资源，示例性的采集的游戏配置结果字段定义可以如下：
gameId:游戏标识；
gameType：游戏类型，1代表竞技类，2代表益智类等；
version：游戏版本号，用于控制资源的更新；
gameName:游戏名；
md5：游戏资源的md5，用于校验加载资源的完整性；
iconUrl:游戏显示图标；
gameResUrl：游戏资源url；
通过采集游戏版本字段，使得游戏配置资源更加简单方便，不需要用户每次进行手动的更新下载，提高了用户体验。在此过程中由于采集的是用户在游戏中的玩家信息，进而未采集用户的隐私信息，较好地保护了用户的隐私信息，增强了用户隐私信息的安全性，避免用户的隐私信息被泄露。
可选地，一种可能的实施方式，在步骤S130之后，如图3所示，即将所述最优游戏配置资源推送给客户端之后，包括：
S140：获取样本游戏中的游戏信息以及用户在所述样本游戏中的用户特 征信息；
S150：根据样本游戏中的游戏信息以及用户在所述样本游戏中的用户特征信息对所述最优游戏配置资源进行校准。
为了使得推送给客户端的游戏资源为最优游戏配置资源，则需要提高云端对游戏信息和用户特征信息分析得更加准确，因此，在本申请中，当将最优游戏资源推送给客户端之后，还可以获取样本游戏中的游戏信息以及用户在样本游戏中的用户特征信息，其中，样本游戏包括游戏列表中的游戏，即云端基于其获取到大数据对用户的游戏信息和用户特征信息进行分析，使得分析出的最优游戏配置资源更加符合对用户的定位，云端基于大数据分析出的游戏配置资源对已经推送给客户端的最优游戏资源进行校准，提高了云端推送的游戏配置资源的准确性，更加符合用户的喜好，进一步地提高用户体验。
可选地，一种可能的实施方式，在步骤S130之后，即所述将所述最优游戏配置资源推送给客户端之后，包括：
响应于客户端的资源获取请求，将所述最优游戏配置资源传送给所述客户端的游戏数据包。
在前述的基础上，当客户端向云端发出了资源获取请求，即更新客户端的游戏列表中游戏的请求时，则将该最优游戏配置资源的游戏数据包传送给客户端，使得用户端可以获取到最优游戏配置资源。
可选地，一种可能的实施方式，在步骤S130中，即最优游戏配置资源推送给客户端，包括：
压缩所述最优游戏配置资源的游戏数据包，将压缩后的所述最优游戏配置资源的所述游戏数据包推送给所述客户端。
在前述的基础上，为了节省用户流量，将最优游戏配置资源的游戏数据包进行压缩，并将压缩后的最优游戏配置资源的游戏数据包推送给客户端，通过该方法还可以加快传输速度，特别在用户手动更新游戏时，可以降低游戏加载时间，即降低用户等待时间，进一步地提高用户的体验。
本申请实施例提供了一种智能配置游戏资源方法，本申请的如下说明主要从客户端的角度进行智能配置游戏资源方法的进行介绍，如图4所示，包 括：
S210：获取服务器推送的最优游戏配置资源，所述最优游戏配置资源通过将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息匹配确定；
客户端获取服务器推送的最优游戏配置资源，本申请中该服务器为云端，在该过程中，客户端并没有下载最优游戏配置资源，而是获取的最优游戏配置资源的简要信息，例如版本信息、游戏类型、游戏标识、游戏名称、游戏显示图标等，通过该方法便于在客户端未下载游戏配置资源之前，将云端推送的游戏配置资源与客户端本地的游戏资源进行对比，避免在无对比情况下直接下载游戏配置资源，浪费用户流量以及客户端的缓存空间，其中最优游戏配置资源为本申请实施例服务器端(云端)的智能配置游戏资源方法确定，具体说明详见前文，在此不做赘述。
S220：将所述最优游戏配置资源与当前游戏配置资源进行对比；
在步骤S210的基础上，当获取到最优游戏配置资源时，为了避免在无对比情况下直接下载游戏配置资源，浪费用户流量以及客户端的缓存空间，将最优游戏配置资源与当前游戏配置资源进行对比，如将最优游戏配置资源中的版本号与客户端本地的游戏资源版本号进行对比，判断客户端的游戏版本是否低于云端推送的游戏配置资源的版本，或者查找客户端是否存在云端推送的游戏资源配置的资源包；当客户端的游戏版本低于云端推送的游戏配置资源的版本，或者客户端不存在云端推送的游戏资源配置的资源包，则可以下载云端推送的游戏配置资源。
S230：当所述最优游戏配置资源优于所述当前游戏配置资源时，在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包。
进一步地，在步骤S220的基础上，在云端推送的最优游戏配置资源优于客户端本地的当前游戏配置资源时，即当客户端的游戏版本低于云端推送的游戏配置资源的版本时，或者客户端不存在云端推送的游戏资源配置的资源包时，则可以下载云端推送的游戏配置资源的游戏数据包。具体的，为了提高用户体验，避免用户每次进行web游戏列表时，才进行游戏的下载，本申请可以在预设的下载节点从服务器(云端)下载其推送的游戏配置资源。预 设下载节点可以有用户设置，也可以由研发人员设置，具体详见后文，在此不做赘述。
可选地，所述在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包，包括：
当到达当前预设下载节点时，从当前预设下载节点的前一次预设下载节点的所述游戏数据包断开处进行游戏数据包的下载。
为了避免客户端进行游戏配置资源的重复下载，在到达预设节点时，则从上一次断开的地方进行游戏配置资源的游戏数据包下载，如使用断点下载功能加载最优游戏配置资源的游戏数据包，进而可以避免重复下载的资源占用客户端的内存，提高本地内存的利用率。
可选地，所述在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包，包括：
若确认客户端所在终端当前没有基于http协议和TCP/IP的访问请求，从服务器下载所述最优游戏配置资源；或响应于用户触发的资源获取请求，从服务器下载所述最优游戏配置资源。
结合前述可知，为了提高用户体验，避免用户每次进行web游戏列表时，才进行游戏的下载，本申请可以在预设的下载节点从服务器(云端)下载其推送的游戏配置资源。本申请提供的实施例中，客户端所在终端可以在网络闲(http及客户端的通信协议(tcp)无请求)时，从服务器进行最优游戏配置资源的游戏数据包下载，在网络状态空闲时进行一遍预下载到本地，下载方式可以通过前述的断电功能进行下载，打开游戏时则可以使用本申请加载本地资源，实现用户无感知的情况下进行游戏数据包的下载，使得用户进入游戏更加便利，由于提前下载了游戏配置资源，则可以降低用户加载游戏的时间，进一步地提高用户体验；在另外一种实施方式中，也可以基于用户的需求进行游戏数据包的下载，即用户在客户端打开游戏列表点击游戏时，同样可以使用前述断点下载功能从服务器进行最优游戏配置资源的游戏数据包下载。在前述基础上，同样避免重复下载的资源占用客户端的内存，提高本地内存的利用率。
可选地，一种可能的实施方式，在步骤S230之后，如图5所示，级预设 下载节点从服务器下载所述最优游戏配置资源的游戏数据包之后，包括：
S240：获取下载完成的所述游戏数据包的摘要信息；
S250：将所述摘要信息与服务器推送的所述最优游戏配置资源的摘要信息进行对比；
S260：当所述摘要信息与服务器推送的所述最优游戏配置资源的摘要信息不一致时，在所述预设下载节点从服务器重新下载所述最优游戏配置资源的游戏数据包。
为了保证下载游戏配置资源与云端推送的游戏配置资源一致且完整，需要对已下载到客户端本地的游戏配置资源的游戏数据包与云端推送的游戏配置资源进行比对校验，在本申请提供的实施例中，获取客户端本地游戏配置资源的md5，即游戏配置资源的摘要信息，其中，md5可以名为消息摘要算法或者哈希算法。将本地游戏配置资源的游戏数据包的摘要信息和云端推送的摘要信息通过md5进行对比，可以验证游戏资源的完整性和一致性，在两者一致时，则说明客户端本地的游戏配置资源是完整的，则可以进行后续步骤，若两者不一致时，则可以在前述预设下载节点重新从云端下载云端推送的最优游戏配置资源的游戏数据包。更进一步地，在云端通过压缩包的形式将最优游戏资源传送给客户端时，当客户端的游戏配置资源通过校准为完整之后，则客户端将该最优游戏配资源压缩包解压，实现云端推送的最优游戏资源的游戏数据包的自缓存功能，便于后期进行通过本地资源进行游戏资源的加载，降低用户加载游戏的时间，提高用户体验。
可选地，一种可能的实施方式，在步骤S230之后，如图6所示，所述预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包之后，包括：
S270：依据预设拦截方法获取游戏加载请求链接；
S280：将所述请求链接替换为所述最优游戏配置资源所在的文件目录；
S290：依据所述文件目录加载所述最优游戏配置资源的游戏数据包。
在前述基础上，当客户端将云端推送的游戏配置资源下载到本地之后，由于h5游戏为网页端的游戏，在每次用户打开游戏时，都会具有网页链接，为了使得用户能够通过客户端本地的游戏配置资源进入游戏或者游戏列表，在本申请中，当通过预设拦截方法拦截游戏加载请求链接，并 将该链接替换为客户端本地最优游戏配置资源所在的文件目录，进而网页则根据该文件目录进行本地资源的加载。结合前述云端给出配置字段以及图7对前述过程进行示例性说明，客户端拉取的较适配的游戏配置资源进行说明：
"gameId":1,"gameType":2,"version":6,"md5":"ca35f31ed6526fe8217799983da01e77","iconUrl":"https://hstatic.ppx520.com/hello/assets/yuanyuan/gamelab/FlyChess.png","gameResUrl":"https://helloktv-esx.520hello.com/game/client/preload/fly_chess_1.9.zip","gameName":"飞行棋"
客户端触发该条配置的含义是：当客户端当前的版本号低于配置的version或者本地不存在已下载的资源包时，客户端会在网络闲时(HTTP及应用内的TCP无请求时)或者打开游戏列表点击游戏时，使用断点下载功能加载gameResUrl的资源包，下载完成后，校验本地资源的md5与云端配置的是否一致，当一致时，则解压最优游戏配置资源，并使用自缓存(如图7)控制加载客户端所在移动终端的本地游戏资源。在客户端加载游戏时，利用WebView中shouldInterceptRequest()方法，拦截请求的url，并通过匹配逻辑把对应的url指向本地资源文件目录，加载本地游戏资源，实现自缓存控制本地资源的功能。进一步地，为了提高加载游戏配置资源的可靠性，则通过容错技术获取相应的游戏配置资源，以保证能够正常地加载游戏资源，另外还可以进行统计等其他操作，方便后续进行其他功能的扩展。
可选地，一种可能的实施方式，在步骤S210之前，如图8所示，获取服务器推送的最优游戏配置资源之前，包括：
S211：提取游戏信息以及用户在游戏中的用户特征信息；
S212：将所述游戏信息以及用户在游戏中的所述用户特征信息传送给服务器。
为了使得云端能够根据用户特性信息和游戏信息对用户喜好进行定位，以便于云端能够向客户端推送用户喜欢的游戏，客户端提取游戏信息和用户在游戏中的用户特征信息，并将游戏信息和用户特征信息传送给服务器，便于云端通过上报的数据，分别从地区、游戏类型及性别等维度分 析该用户的特征，通过匹配规则，从匹配库中智能匹配最适合该用户的游戏列表。
基于同一发明构思，本申请还提供一种智能配置游戏资源装置，下面结合附图对/本申请装置的具体实施方式进行详细介绍。
如图9所示，在一个实施例中，本申请还提供了一种智能配置游戏资源装置，包括
信息获取模块110，用于获取客户端的游戏信息以及用户在游戏中的用户特征信息；
最优游戏配置资源确定模块120，用于将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息进行匹配，确定最优游戏配置资源；
推送模块130，用于将所述最优游戏配置资源推送给客户端。
可选地，一种可能的实施方式，所述最优游戏配置资源确定模块，包括：
预设配置资源单元，用于依据所述游戏信息和所述用户特征信息确定预设配置资源；
确定单元，用于将所述预设配置资源确定为所述最优游戏配置资源。
可选地，一种可能的实施方式，还包括：
样本信息获取模块，用于获取样本游戏中的游戏信息以及用户在所述样本游戏中的用户特征信息；
校准模块，用于根据样本游戏中的游戏信息以及用户在所述样本游戏中的用户特征信息对所述最优游戏配置资源进行校准。
可选地，一种可能的实施方式，还包括：
第一传送模块，用于响应于客户端的资源获取请求，将所述最优游戏配置资源的游戏数据包传送给所述客户端。
可选地，一种可能的实施方式，还包括：
压缩模块，用于压缩所述最优游戏配置资源的游戏数据包，将压缩后的所述最优游戏配置资源的游戏数据包推送给所述客户端。
如图10所示，在一个实施例中，本申请还提供了一种智能配置游戏资源装置，包括：
最优游戏配置资源获取模块210，用于获取服务器推送的最优游戏配置资源，所述最优游戏配置资源通过将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息匹配确定；
对比模块220，用于将所述最优游戏配置资源与当前游戏配置资源进行对比；
下载模块230，用于当所述最优游戏配置资源优于所述当前游戏配置资源时，在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包。
可选地，一种可能的实施方式，所述下载模块包括：
第一下载单元，用于当到达当前预设下载节点时，从当前预设下载节点的前一次预设下载节点的所述游戏数据包断开处进行游戏数据包的下载。
可选地，一种可能的实施方式，所述下载模块还包括：
第二下载单元，用于若确认客户端所在终端当前没有基于http协议和TCP/IP的访问请求，从服务器下载所述最优游戏配置资源的游戏数据包；或响应于用户触发的资源获取请求，从服务器下载所述最优游戏配置资源的游戏数据包。
可选地，一种可能的实施方式，还包括：
摘要信息获取模块，用于获取下载完成的所述游戏数据包的摘要信息；
摘要信息对比模块，用于将所述摘要信息与服务器推送的所述最优游戏配置资源的摘要信息进行对比；
重新下载模块，用于当所述摘要信息与服务器推送的所述最优游戏配置资源的摘要信息不一致时，在所述预设下载节点从服务器重新下载所述最优游戏配置资源的游戏数据包。
可选地，一种可能的实施方式，还包括：
加载请求链接获取模块，用于依据预设拦截方法获取游戏加载请求链接；
替换模块，用于将所述请求链接替换为所述最优游戏配置资源所在的文件目录；
加载模块，用于依据所述文件目录加载所述最优游戏配置资源的游戏数据包。
可选地，一种可能的实施方式，还包括：
提取模块，用于提取游戏信息以及用户在游戏中的用户特征信息；
第二传送模块，用于将所述游戏信息以及用户在游戏中的所述用户特征信息传送给服务器。
需要说明的是，上述智能配置游戏资源装置各模块和单元实习的功能与前述智能配置游戏资源方法的步骤一致，因此，智能配置游戏资源装置各模块和单元实习的功能详见智能配置游戏资源方法的说明，在此不做赘述。
本实施的智能配置游戏资源装置能够实现上述智能配置游戏资源方法的实施例。
本申请还提供了一种智能配置游戏资源系统，包括：服务器和客户端，所述服务器用于获取客户端的游戏信息以及用户在游戏中的用户特征信息；将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息进行匹配，确定最优游戏配置资源；将所述最优游戏配置资源推送给客户端；所述客户端终端用于获取服务器推送的最优游戏配置资源，所述最优游戏配置资源通过将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息匹配而确定；将所述最优游戏配置资源与当前游戏配置资源进行对比；当所述最优游戏配置资源优于所述当前游戏配置资源时，在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包。
综合前述说明，在本申请提供了一种智能配置游戏资源系统中，如图11所示，该系统中客户端和云端与运营后台以及配置人员的交互过程如下：配置人员执行A对游戏信息进行配置，客户端执行B将游戏信息和用户特征信息上报(传送)给云端，如用户在游戏中的性别、用户位置信息以及游戏类型等信息，之后为了实现游戏资源的配置，云端执行C从运营后台中读取相应的游戏配置资源，运营后台根据云端读取的结果，执行D将云端读取出的游戏配置资源返回给云端，云端则通过E对客户端上传的游戏信息和用户特征信息进行分析，并根据分析的结果确定最优游戏配置资源，并执行F将该最优游戏配置资源推送给客户端，客户端则基于预设的下载节点，执行G通过自缓控制加载游戏，即场景触发实现游戏资源的自缓存以及控制加载本地游戏资源。当用户在客户端打开游戏时，为了使得云端对数据分析更为准 确，推送给客户端的游戏配置资源更符合用户的喜好，客户端执行H上报游戏类型、耗时、用户信息等到云端进行统计，云端则执行I对客户端上报的数据进行分析，通过大数据分析用户行为等，并对不同的用户进行智能配置的校准。通过前述过程，结合配置人员的配置，在此基础上通过自动迭代和人工干预结合，云端对上报的数据进行分析，大数据平台分析用户行为，对不同的地区、性别及游戏类型的游戏配置做校准，根据具有某类特征的用户的使用频率和喜好程度，不断调整智能匹配游戏配置资源，不断进化游戏配置资源数据库。
本申请实施例还提供一种计算机可读存储介质，其上存储有计算机程序，该程序被处理器执行时实现上述终端的智能配置游戏资源方法。其中，所述存储介质包括但不限于任何类型的盘(包括软盘、硬盘、光盘、CD-ROM、和磁光盘)、ROM(Read-Only Memory，只读存储器)、RAM(Random Access Memory，随即存储器)、EPROM(Erasable Programmable Read-Only Memory，可擦写可编程只读存储器)、EEPROM(Electrically Erasable Programmable Read-Only Memory，电可擦可编程只读存储器)、闪存、磁性卡片或光线卡片。也就是，存储介质包括由设备(例如，计算机)以能够读的形式存储或传输信息的任何介质。可以是只读存储器，磁盘或光盘等。
本申请实施例还提供一种计算机设备，所述计算机设备包括：
一个或多个处理器510；
存储装置520，用于存储一个或多个程序500，
当所述一个或多个程序500被所述一个或多个处理器510执行，使得所述一个或多个处理器510实现上述终端的智能配置游戏资源方法。
如图12所示为本申请计算机设备的结构示意图，包括处理器510、存储装置520、输入单元530以及显示单元540等器件。本领域技术人员可以理解，图12示出的结构器件并不构成对所有计算机设备的限定，可以包括比图示更多或更少的部件，或者组合某些部件。存储装置520可用于存储应用程序500以及各功能模块，处理器510运行存储在存储装置520的应用程序500，从而执行设备的各种功能应用以及数据处理。存储 装置520可以是内存储器或外存储器，或者包括内存储器和外存储器两者。内存储器可以包括只读存储器、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦写可编程ROM(EEPROM)、快闪存储器、或者随机存储器。外存储器可以包括硬盘、软盘、ZIP盘、U盘、磁带等。本申请所公开的存储装置包括但不限于这些类型的存储装置。本申请所公开的存储装置520只作为例子而非作为限定。
输入单元530用于接收信号的输入，以及接收用户输入的选择语音文件等相关请求。输入单元530可包括触控面板以及其它输入设备。触控面板可收集用户在其上或附近的触摸操作(比如用户使用手指、触笔等任何适合的物体或附件在触控面板上或在触控面板附近的操作)，并根据预先设定的程序驱动相应的连接装置；其它输入设备可以包括但不限于物理键盘、功能键(比如播放控制按键、开关按键等)、轨迹球、鼠标、操作杆等中的一种或多种。显示单元540可用于显示用户输入的信息或提供给用户的信息以及计算机设备的各种菜单。显示单元540可采用液晶显示器、有机发光二极管等形式。处理器510是计算机设备的控制中心，利用各种接口和线路连接整个电脑的各个部分，通过运行或执行存储在存储装置520内的软件程序和/或模块，以及调用存储在存储装置内的数据，执行各种功能和处理数据。
在一实施方式中，计算机设备包括一个或多个处理器510，以及一个或多个存储装置520，一个或多个应用程序500，其中所述一个或多个应用程序500被存储在存储装置520中并被配置为由所述一个或多个处理器510执行，所述一个或多个应用程序500配置用于执行以上实施例所述的智能配置游戏资源方法。
应该理解的是，虽然附图的流程图中的各个步骤按照箭头的指示依次显示，但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明，这些步骤的执行并没有严格的顺序限制，其可以以其他的顺序执行。而且，附图的流程图中的至少一部分步骤可以包括多个子步骤或者多个阶段，这些子步骤或者阶段并不必然是在同一时刻执行完成，而是可以在不同的时刻执行，其执行顺序也不必然是依次进行，而是可以 与其他步骤或者其他步骤的子步骤或者阶段的至少一部分轮流或者交替地执行。
应该理解的是，在本申请各实施例中的各功能单元可集成在一个处理模块中，也可以各个单元单独物理存在，也可以两个或两个以上单元集成于一个模块中。上述集成的模块既可以采用硬件的形式实现，也可以采用软件功能模块的形式实现。
以上所述仅是本申请的部分实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本申请原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本申请的保护范围。

Claims (17)

  1. 一种智能配置游戏资源方法，包括如下步骤：
    获取客户端的游戏信息以及用户在游戏中的用户特征信息；
    将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息进行匹配，确定最优游戏配置资源；
    将所述最优游戏配置资源推送给客户端。
  2. 根据权利要求1所述的智能配置游戏资源方法，其特征在于，所述游戏信息包括：游戏类型、游戏标识、网络信息，所述用户特征信息包括：用户在游戏中的性别、用户的位置信息、用户在游戏页面的停留时间。
  3. 根据权利要求2所述的智能配置游戏资源方法，其特征在于，所述预设匹配规则为预设距离内与当前游戏为同类型且与用户在游戏中的性别相反的游戏配置资源。
  4. 根据权利要求2所述的智能配置游戏资源方法，其特征在于，所述获取客户端的游戏信息以及用户在游戏中的用户特征信息之后，包括：
    依据所述游戏信息和所述用户特征信息确定预设配置资源；
    将所述预设配置资源确定为所述最优游戏配置资源。
  5. 根据权利要求1至4任一项所述的智能配置游戏资源方法，其特征在于，所述最优游戏配置资源包括高于当前游戏版本的游戏配置资源和/或游戏列表中其他游戏的游戏配置资源。
  6. 根据权利要求1至4任一项所述的智能配置游戏资源方法，其特征在于，所述将所述最优游戏配置资源推送给客户端之后，包括：
    获取样本游戏中的游戏信息以及用户在所述样本游戏中的用户特征信息；
    根据样本游戏中的游戏信息以及用户在所述样本游戏中的用户特征信息对所述最优游戏配置资源进行校准。
  7. 根据权利要求1至4任一项所述的智能配置游戏资源方法，其特征在于，所述将所述最优游戏配置资源推送给客户端之后，包括：
    响应于客户端的资源获取请求，将所述最优游戏配置资源的游戏数据包 传送给所述客户端。
  8. 根据权利要求1至4任一项所述的智能配置游戏资源方法，其特征在于，所述最优游戏配置资源推送给客户端，包括：
    压缩所述最优游戏配置资源的游戏数据包，将压缩后的所述最优游戏配置资源的所述游戏数据包推送给所述客户端。
  9. 一种智能配置游戏资源方法，包括如下步骤：
    获取服务器推送的最优游戏配置资源，所述最优游戏配置资源通过将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息匹配确定；
    将所述最优游戏配置资源与当前游戏配置资源进行对比；
    当所述最优游戏配置资源优于所述当前游戏配置资源时，在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包。
  10. 根据权利要求9所述的智能配置游戏资源方法，其特征在于，所述在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包，包括：
    当到达当前预设下载节点时，从当前预设下载节点的前一次预设下载节点的所述游戏数据包断开处进行游戏数据包的下载。
  11. 根据权利要求9或10所述的智能配置游戏资源方法，其特征在于，在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包，包括：
    若确认客户端所在终端当前没有基于http协议和TCP/IP的访问请求，从服务器下载所述最优游戏配置资源的游戏数据包；或响应于用户触发的资源获取请求，从服务器下载所述最优游戏配置资源的游戏数据包。
  12. 根据权利要求9所述的智能配置游戏资源方法，其特征在于，所述预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包之后，包括：
    获取下载完成的所述游戏数据包的摘要信息；
    将所述摘要信息与服务器推送的所述最优游戏配置资源的摘要信息进行对比；
    当所述摘要信息与服务器推送的所述最优游戏配置资源的摘要信息不一致时，在所述预设下载节点从服务器重新下载所述最优游戏配置资源的游戏数据包。
  13. 根据权利要求9所述的智能配置游戏资源方法，其特征在于，所述预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包之后，包括：
    依据预设拦截方法获取游戏加载请求链接；
    将所述请求链接替换为所述最优游戏配置资源所在的文件目录；
    依据所述文件目录加载所述最优游戏配置资源的游戏数据包。
  14. 根据权利要求9或10所述的智能配置游戏资源方法，其特征在于，所述获取服务器推送的最优游戏配置资源之前，包括：
    提取游戏信息以及用户在游戏中的用户特征信息；
    将所述游戏信息以及用户在游戏中的所述用户特征信息传送给服务器。
  15. 一种智能配置游戏资源系统，包括：服务器和客户端，
    所述服务器用于获取客户端的游戏信息以及用户在游戏中的用户特征信息；将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息进行匹配，确定最优游戏配置资源；将所述最优游戏配置资源推送给客户端；
    所述客户端终端用于获取服务器推送的最优游戏配置资源，所述最优游戏配置资源通过将所述游戏信息和所述用户特征信息按照预设匹配规则与预设数据库中的游戏信息和用户特征信息匹配而确定；将所述最优游戏配置资源与当前游戏配置资源进行对比；当所述最优游戏配置资源优于所述当前游戏配置资源时，在预设下载节点从服务器下载所述最优游戏配置资源的游戏数据包。
  16. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，该计算机程序被处理器执行时实现如权利要求1至14中任一项的智能配置游戏资源方法。
  17. 一种计算机设备，包括：
    一个或多个处理器；
    存储装置，用于存储一个或多个程序，
    当所述一个或多个程序被所述一个或多个处理器执行，使得一个或多个处理器实现如权利要求1至14任一项所述的智能配置游戏资源方法。
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