Film rating method, system and terminal based on content rating platform

Abstract

The invention discloses a film rating method, system and terminal based on a content rating platform, and the method comprises the steps: importing the film information of a to-be-rated film into the content rating platform, complementing the missing film information of the to-be-rated film, and obtaining the complete film information; loading each piece of film rule information of the to-be-rated film from a target database, and constructing a rule tree according to each piece of film rule information and the complete film information; and obtaining a strategy task, loading a film rule according to the rule tree, and carrying out calculation according to the strategy task and the film rule to obtain a final score of the to-be-rated film. According to the method, specific scores of different films can be accurately calculated, and a powerful reference basis is provided for film rating from a data structure level.

Description

Technical Field

[0001] The present invention relates to the technical field of content rating, and in particular to a film rating method, system, terminal and computer-readable storage medium based on a content rating platform. Background Art

[0002] As time goes by, the number of films produced by many large film companies or screenwriters gradually increases, the technology for making films continues to expand, and the number of films further increases. In order to more efficiently promote different types of films of the company to users, many companies will have their own content rating platforms. The company's investment personnel specify a set of investment strategies for a certain type of film. There are many rules under this investment strategy, and each rule is defined by a combination of different types of positions. In order to predict in advance whether the strategy has good investment value, the investment personnel need to evaluate the grade and film report of each film in advance before investing. If it is found that some films do not meet the investment expectations, the rating rules of the film type can be adjusted in advance until each film meets the investment expectations (which is a tuning link for the film rules. The investment expectation refers to the rating of historical films and the comparison of the rating results with the comprehensive box office data of the film). This has certain requirements for the technical indicators of film rating. First, the accuracy of the rule calculation must be accurate to the decimal point. Secondly, the rule calculation must calculate the score of the current rule and the different scores of different films under the sub-rules based on the sub-rules. However, the existing technology cannot accurately calculate the specific scores of different films.

[0003] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0004] The main purpose of the present invention is to provide a film rating method, system, terminal and computer-readable storage medium based on a content rating platform, aiming to solve the problem in the prior art that the specific scores of different films cannot be accurately calculated, resulting in the inability to obtain effective technical indicators for film ratings.

[0005] To achieve the above object, the present invention provides a film rating method based on a content rating platform, and the film rating method based on the content rating platform comprises the following steps:

[0006] Importing the film information of the film to be rated into the content rating platform, and completing the missing film information of the film to be rated to obtain complete film information;

[0007] Loading various film rule information of the film to be rated from the target database, and constructing a rule tree according to the various film rule information and the complete film information;

[0008] Acquire the strategy task, load the movie rules according to the rule tree, perform calculations according to the strategy task and the movie rules, and obtain the final score of the movie to be rated.

[0009] Optionally, the film rating method based on the content rating platform, wherein the step of importing the film information of the film to be rated into the content rating platform and supplementing the missing film information of the film to be rated, specifically includes:

[0010] Receive the user's operation of clicking the add, import and modify buttons, and import the film information of the film to be rated into the content rating platform, wherein the film information includes basic film information, character information and indicator information;

[0011] Detect the missing film information of the film to be rated, input the film name to bring up the film list, click on the film list to bring up all the film information, complete the missing film information, and obtain the complete film information.

[0012] Optionally, the film rating method based on the content rating platform, wherein the step of loading various film rule information of the film to be rated from the target database and constructing a rule tree according to the various film rule information and the complete film information, specifically includes:

[0013] Load various film rule information of the film to be rated from the MySQL database through the film rating interface, wherein the film rule information includes the rule name, score, weight and bound task ID;

[0014] According to the complete film information, the film to be rated is analyzed, the film information is verified, and the rule task is loaded to obtain a plurality of rule tasks, and a rule tree is constructed according to the plurality of rule tasks.

[0015] Optionally, the film rating method based on the content rating platform, wherein the acquiring strategy task, loading the film rules according to the rule tree, performing calculations according to the strategy task and the film rules to obtain the final score of the film to be rated, specifically includes:

[0016] Inject the execution task of the movie rule into the program's container to obtain the specific policy class to be executed from the container according to the task id;

[0017] Encapsulate the film strategy into tasks, and in the strategy executor, construct the task execution method into a tree structure;

[0018] Prioritize obtaining the tasks of the child nodes in the tree structure, obtain the execution method from the strategy set and perform the calculation, and the parent node will perform the calculation of the parent node after all the calculations of each child node are completed. After all the child nodes are calculated, the calculation results of the child nodes are summarized in the parent node to obtain the final score of the film to be rated.

[0019] Optionally, in the film rating method based on a content rating platform, the execution task of the film rules adopts a strategy mode.

[0020] Optionally, the film rating method based on the content rating platform, wherein the acquiring strategy task, loading the film rules according to the rule tree, performing calculations according to the strategy task and the film rules to obtain a final score of the film to be rated, further comprises:

[0021] The final scores of the films to be rated are uniformly stored in the MySQL database.

[0022] Optionally, the film rating method based on the content rating platform, wherein the final scores of the films to be rated are uniformly stored in a MySQL database, and then further comprises:

[0023] The calculation result of each rule is associated with the policy task ID. When the system needs to obtain the score under a certain policy task, it queries through the policy task ID.

[0024] In addition, to achieve the above-mentioned purpose, the present invention further provides a film rating system based on a content rating platform, wherein the film rating system based on a content rating platform comprises:

[0025] An information supplementation module, used to import the film information of the film to be rated into the content rating platform, and to complete the missing film information of the film to be rated to obtain complete film information;

[0026] A rule tree construction module, used for loading various film rule information of the film to be rated from the target database, and constructing a rule tree according to the various film rule information and the complete film information;

[0027] The scoring calculation module is used to obtain the policy task, load the movie rules according to the rule tree, and perform calculations according to the policy task and the movie rules to obtain the final score of the movie to be rated.

[0028] In addition, to achieve the above-mentioned purpose, the present invention also provides a terminal, wherein the terminal includes: a memory, a processor, and a film rating program based on a content rating platform stored in the memory and executable on the processor, wherein the film rating program based on the content rating platform, when executed by the processor, implements the steps of the film rating method based on the content rating platform as described above.

[0029] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a film rating program based on a content rating platform, and when the film rating program based on the content rating platform is executed by a processor, the steps of the film rating method based on the content rating platform as described above are implemented.

[0030] In the present invention, the film information of the film to be rated is imported into the content rating platform, the missing film information of the film to be rated is supplemented, and the complete film information is obtained; the film rule information of the film to be rated is loaded from the target database, and a rule tree is constructed according to the film rule information and the complete film information; the strategy task is obtained, the film rules are loaded according to the rule tree, and the calculation is performed according to the strategy task and the film rules to obtain the final score of the film to be rated. The present invention can accurately calculate the specific scores of different films, and provides a strong reference basis for film rating from the data structure level. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a flow chart of a preferred embodiment of a film rating method based on a content rating platform of the present invention;

[0032] Figure 2 It is a schematic diagram of the operating principle of the entire method in a preferred embodiment of the film rating method based on the content rating platform of the present invention;

[0033] Figure 3 It is a schematic diagram of a rule loading process in a preferred embodiment of a film rating method based on a content rating platform of the present invention;

[0034] Figure 4 It is a schematic diagram of the construction of computing tasks in a preferred embodiment of the film rating method based on the content rating platform of the present invention;

[0035] Figure 5 is a schematic diagram of a method for calculating and executing film rating in a preferred embodiment of a film rating method based on a content rating platform of the present invention;

[0036] Figure 6 It is a schematic diagram of processing and storing calculation results in a preferred embodiment of the film rating method based on the content rating platform of the present invention;

[0037] Figure 7 It is a structural diagram of a preferred embodiment of a film rating system based on a content rating platform of the present invention;

[0038] Figure 8 It is a structural diagram of a preferred embodiment of the terminal of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0040] The film rating method based on the content rating platform described in the preferred embodiment of the present invention is as follows: Figure 1 and Figure 2 As shown, the film rating method based on the content rating platform includes the following steps:

[0041] Step S10: import the film information of the film to be rated into the content rating platform, and complete the missing film information of the film to be rated to obtain complete film information.

[0042] Specifically, that is Figure 2 The first stage: create a new movie and add information of each module of the movie (for example, modify the movie information through the content rating platform, Figure 2 The basic film information module in the system is composed of a film information unit, a star information unit and an indicator information unit); receiving operations of the user clicking on the add, import and modify buttons, importing the film information of the film to be rated into the content rating platform (CRP, Content Rating Platform, is a system for evaluating and classifying digital content, integrating multi-party data and standardizing and segmenting these data, so that users can push these segmented results to the platform in the existing marketing environment), the film information includes basic film information (such as film name, film ID, film type, film label, film introduction, production area, language, film length, number of episodes, release time, etc.), character information (such as information about the starring star) and indicator information (such as film-related IP, IP-related series and IP popularity, etc.); detecting the missing film information of the film to be rated, bringing out a film list after entering the film name, bringing out all film information after clicking on the film list, supplementing the missing film information (such as supplementing the producer information, film production team, scriptwriter information and film-related IP information, etc.), and obtaining complete film information.

[0043] Step S20: Load various film rule information of the film to be rated from the target database, and construct a rule tree according to the various film rule information and the complete film information.

[0044] Specifically, that is Figure 2 The second stage in the process is: obtaining various rules under different types of films; loading various film rule information and film information of the film to be rated from the MySQL database through the film rating interface, wherein the film rule information includes information such as rule name, score, weight and bound task ID; parsing the id and parent id in the rule information, and then constructing a rule tree based on the id and parent id of the rule, so that the rule task can be executed in the order of depth-first traversal later, such as Figure 3 As shown, according to the complete film information, the film to be rated is parsed, the film information is verified and the rule task is loaded to obtain multiple rule tasks (for example, rule task one, rule task two, rule task three and rule task four), and a rule tree (i.e., a synthetic tree) is constructed according to the multiple rule tasks.

[0045] The component rule tree is as follows:

[0046] (1) Define node classes. Each node contains basic rule information, such as rule name, weight, and default score.

[0047] (2) Data source, each node contains basic information and its parent node, and the data structure of the node class serves as the data source structure of the tree.

[0048] (3) Lambda stream operation maps each node and parent node through id to build a rule tree.

[0049] Figure 2 The film type rule module includes a rating rule parsing module and a film verification module. The rating rule parsing module and the film verification module are two modules responsible for parsing film rules. The film rules are configured by users in the background of the rating system.

[0050] After the movie rules are configured, the rating system will parse the user-configured movie rules into a data structure, which is a general structure of movie rules. Any tree traversal algorithm (depth-first, breadth-first traversal, etc.) can be executed through this data structure. This lays the foundation for the execution order of multiple movie rules. The content rating platform has different types of movies, such as movies, TV series, short dramas, and online movies. These four types can be rated by any combination of different rules.

[0051] Step S30: Obtain the policy task, load the movie rules according to the rule tree, perform calculations according to the policy task and the movie rules, and obtain the final score of the movie to be rated.

[0052] Specifically, that is Figure 2The third stage in the process: obtaining the strategy bound under the rule; injecting the execution task of the movie rule into the container of the program to obtain the specific strategy class to be executed from the container according to the task id; encapsulating the movie strategy into a task, and in the strategy executor, constructing the execution method of the task into a tree structure; giving priority to obtaining the tasks of the child nodes in the tree structure, obtaining the execution method from the strategy set and performing the calculation, and executing the calculation of the parent node after all the calculations of each child node are completed, and after all the child nodes are calculated, the calculation results of the child nodes are summarized in the parent node to obtain the final score of the movie to be rated.

[0053] Figure 2 The rule calculation module is the core module of the present invention. The rule calculation module has two core functions: policy injection and policy executor.

[0054] Among them, strategy injection is to inject the execution task of the movie rule into the container of the program, so as to obtain the task id bound under the rule, and obtain the specific strategy class to be executed from the container according to the task id. The execution task of the movie rule adopts the strategy mode to define a general strategy interface. All specific rules of the movie need to implement this interface, and then the context class contains a member variable of the strategy interface, which is injected into the Map through the @Autowired annotation.<String,CriteriaHandler> Next, use this member variable to execute specific strategies.

[0055] Among them, the policy executor is the calculation center of the film rules. Policy injection and film rule calculation are completed here. The film strategy is encapsulated into a task. The task consists of a loading unit and a calculation unit. In the policy executor, the execution method of the task will be constructed into a tree structure, as shown in Figure 4.

[0056] The tasks of leaf nodes are obtained first, and the execution method is obtained from the strategy set and sent to the calculation unit for calculation. The parent node will perform the calculation after each child node has completed the calculation. After all child nodes have completed the calculation, the calculation results of the child nodes are summarized in the parent node, and finally the final score of the film is calculated. For example, Figure 5 shown.

[0057] Furthermore, the final scores of the films to be rated are uniformly stored in the MySQL database, that is, Figure 2 The fourth stage in: result storage and display; Figure 6As shown in the figure, after the film rule calculation is completed, the calculation results need to be uniformly stored and managed in order to obtain the calculation results (the results of the calculation tasks bound to each rule). The rating system stores the calculation results in the MySQL database and associates the calculation results of each rule (the parent node score is calculated by weighting the child node scores) with the strategy task ID. When the system needs to obtain the score under a certain strategy task, it can be quickly queried through the strategy task ID.

[0058] The present invention forms a tree data structure by constructing a tree to form a rule calculation task. In order to improve the independence of the algorithm and the reusability of the rule calculation, a common interface supporting all algorithms is defined by a strategy mode, a series of algorithms are encapsulated one by one, and they can be replaced with each other. This mode allows the algorithm to change independently of the rules that use them. At the same time, a transaction mode is adopted to put all the rules under the movie under one transaction, which can be automatically rolled back when the calculation fails, ensuring that there is no dirty data in the calculation process. The rule construction tree adopts a depth-first traversal algorithm to quickly locate the sub-rules that need to be calculated first, saving the time of finding rules (the time complexity of finding rules and calculating), and providing a strong reference basis for movie rating from the data structure level.

[0059] Furthermore, if Figure 7 As shown, based on the above-mentioned film rating method based on the content rating platform, the present invention also provides a film rating system based on the content rating platform, wherein the film rating system based on the content rating platform includes:

[0060] The information supplement module 51 is used to import the film information of the film to be rated into the content rating platform, and supplement the missing film information of the film to be rated to obtain the complete film information;

[0061] A rule tree construction module 52 is used to load various film rule information of the film to be rated from the target database, and construct a rule tree according to the various film rule information and the complete film information;

[0062] The score calculation module 53 is used to obtain the policy task, load the movie rules according to the rule tree, and perform calculations according to the policy task and the movie rules to obtain the final score of the movie to be rated.

[0063] Furthermore, if Figure 8 As shown, based on the above-mentioned film rating method and system based on the content rating platform, the present invention also provides a terminal accordingly, and the terminal includes a processor 10, a memory 20 and a display 30. Figure 8 Only some components of the terminal are shown, but it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0064] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory of the terminal. In other embodiments, the memory 20 may also be an external storage device of the terminal, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the terminal. Further, the memory 20 may also include both an internal storage unit of the terminal and an external storage device. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code of the installation terminal. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, a film rating program 40 based on a content rating platform is stored on the memory 20, and the film rating program 40 based on the content rating platform can be executed by the processor 10, thereby realizing the film rating method based on the content rating platform in the present application.

[0065] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor or other data processing chip, configured to run program codes or process data stored in the memory 20, such as executing the film rating method based on the content rating platform.

[0066] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 30 is used to display information on the terminal and to display a visual user interface. The processor 10, the memory 20, and the display 30 of the terminal communicate with each other via a system bus.

[0067] In one embodiment, when the processor 10 executes the film rating program 40 based on the content rating platform in the memory 20, the following steps are implemented:

[0068] Importing the film information of the film to be rated into the content rating platform, and completing the missing film information of the film to be rated to obtain complete film information;

[0069] Loading various film rule information of the film to be rated from the target database, and constructing a rule tree according to the various film rule information and the complete film information;

[0070] Acquire the strategy task, load the movie rules according to the rule tree, perform calculations according to the strategy task and the movie rules, and obtain the final score of the movie to be rated.

[0071] The step of importing the film information of the film to be rated into the content rating platform and supplementing the missing film information of the film to be rated specifically includes:

[0072] Receive the user's operation of clicking the add, import and modify buttons, and import the film information of the film to be rated into the content rating platform, wherein the film information includes basic film information, character information and indicator information;

[0073] Detect the missing film information of the film to be rated, input the film name to bring up the film list, click on the film list to bring up all the film information, complete the missing film information, and obtain the complete film information.

[0074] The step of loading various film rule information of the film to be rated from the target database and constructing a rule tree according to the various film rule information and the complete film information specifically includes:

[0075] Load various film rule information of the film to be rated from the MySQL database through the film rating interface, wherein the film rule information includes the rule name, score, weight and bound task ID;

[0076] According to the complete film information, the film to be rated is analyzed, the film information is verified, and the rule task is loaded to obtain a plurality of rule tasks, and a rule tree is constructed according to the plurality of rule tasks.

[0077] The acquiring strategy task, loading the movie rules according to the rule tree, performing calculations according to the strategy task and the movie rules to obtain the final score of the movie to be rated, specifically includes:

[0078] Inject the execution task of the movie rule into the program's container to obtain the specific policy class to be executed from the container according to the task id;

[0079] Encapsulate the film strategy into tasks, and in the strategy executor, construct the task execution method into a tree structure;

[0080] Prioritize obtaining the tasks of the child nodes in the tree structure, obtain the execution method from the strategy set and perform the calculation, and the parent node will perform the calculation of the parent node after all the calculations of each child node are completed. After all the child nodes are calculated, the calculation results of the child nodes are summarized in the parent node to obtain the final score of the film to be rated.

[0081] The execution task of the film rules adopts a strategy mode.

[0082] The acquiring strategy task loads the movie rules according to the rule tree, performs calculations according to the strategy task and the movie rules, and obtains the final score of the movie to be rated, and then further includes:

[0083] The final scores of the films to be rated are uniformly stored in the MySQL database.

[0084] The final scores of the films to be rated are uniformly stored in a MySQL database, and then the following steps are further included:

[0085] The calculation result of each rule is associated with the policy task ID. When the system needs to obtain the score under a certain policy task, it queries through the policy task ID.

[0086] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a film rating program based on a content rating platform, and when the film rating program based on the content rating platform is executed by a processor, the steps of the film rating method based on the content rating platform as described above are implemented.

[0087] In summary, the present invention provides a film rating method, system, terminal and computer-readable storage medium based on a content rating platform, the method comprising: importing the film information of the film to be rated into the content rating platform, supplementing the missing film information of the film to be rated, and obtaining the complete film information; loading the film rule information of the film to be rated from the target database, and constructing a rule tree according to the film rule information and the complete film information; obtaining a strategy task, loading the film rules according to the rule tree, and calculating according to the strategy task and the film rules to obtain the final score of the film to be rated. The present invention can accurately calculate the specific scores of different films, and provides a strong reference basis for film rating from the data structure level.

[0088] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or terminal. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or terminal including the element.

[0089] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium that can be read by a computer, and the program can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0090] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A film rating method based on a content rating platform, characterized in that: The film rating method based on the content rating platform includes: Importing the film information of the film to be rated into the content rating platform, and completing the missing film information of the film to be rated to obtain complete film information; Loading various film rule information of the film to be rated from the target database, and constructing a rule tree according to the various film rule information and the complete film information; Acquire the strategy task, load the movie rules according to the rule tree, perform calculations according to the strategy task and the movie rules, and obtain the final score of the movie to be rated.

2. The film rating method based on the content rating platform according to claim 1, characterized in that: The step of importing the film information of the film to be rated into the content rating platform and supplementing the missing film information of the film to be rated specifically includes: Receive the user's operation of clicking the add, import and modify buttons, and import the film information of the film to be rated into the content rating platform, wherein the film information includes basic film information, character information and indicator information; Detect the missing film information of the film to be rated, input the film name to bring up the film list, click on the film list to bring up all the film information, complete the missing film information, and obtain the complete film information.

3. The film rating method based on the content rating platform according to claim 1, characterized in that: The step of loading various film rule information of the film to be rated from the target database and constructing a rule tree according to the various film rule information and the complete film information specifically includes: Load various film rule information of the film to be rated from the MySQL database through the film rating interface, wherein the film rule information includes the rule name, score, weight and bound task ID; According to the complete film information, the film to be rated is analyzed, the film information is verified, and the rule task is loaded to obtain a plurality of rule tasks, and a rule tree is constructed according to the plurality of rule tasks.

4. The film rating method based on the content rating platform according to claim 1, characterized in that: The acquiring strategy task, loading the movie rules according to the rule tree, performing calculations according to the strategy task and the movie rules to obtain the final score of the movie to be rated, specifically includes: Inject the execution task of the movie rule into the program's container to obtain the specific policy class to be executed from the container according to the task id; Encapsulate the film strategy into tasks, and in the strategy executor, construct the task execution method into a tree structure; Prioritize obtaining the tasks of the child nodes in the tree structure, obtain the execution method from the strategy set and perform the calculation, and the parent node will perform the calculation of the parent node after all the calculations of each child node are completed. After all the child nodes are calculated, the calculation results of the child nodes are summarized in the parent node to obtain the final score of the film to be rated.

5. The film rating method based on the content rating platform according to claim 4, characterized in that: The execution task of the film rules adopts the strategy mode.

6. The film rating method based on the content rating platform according to claim 4, characterized in that: The acquiring strategy task loads the movie rules according to the rule tree, performs calculations according to the strategy task and the movie rules, and obtains the final score of the movie to be rated, and then further includes: The final scores of the films to be rated are uniformly stored in the MySQL database.

7. The film rating method based on the content rating platform according to claim 6, characterized in that: The final scores of the films to be rated are uniformly stored in the MySQL database, and then the following steps are further included: The calculation result of each rule is associated with the policy task ID. When the system needs to obtain the score under a certain policy task, it queries through the policy task ID.

8. A film rating system based on a content rating platform, characterized in that: The film rating system based on the content rating platform includes: An information supplementation module, used to import the film information of the film to be rated into the content rating platform, and to complete the missing film information of the film to be rated to obtain complete film information; A rule tree construction module, used for loading various film rule information of the film to be rated from the target database, and constructing a rule tree according to the various film rule information and the complete film information; The scoring calculation module is used to obtain the policy task, load the movie rules according to the rule tree, and perform calculations according to the policy task and the movie rules to obtain the final score of the movie to be rated.

9. A terminal, characterized in that: The terminal includes: a memory, a processor, and a film rating program based on a content rating platform stored in the memory and executable on the processor. When the film rating program based on the content rating platform is executed by the processor, the steps of the film rating method based on a content rating platform as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a film rating program based on a content rating platform, and when the film rating program based on a content rating platform is executed by a processor, the steps of the film rating method based on a content rating platform as described in any one of claims 1 to 7 are implemented.

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