Method and terminal for generating information page of game role

Abstract

The invention discloses a method and terminal for generating an information page of a game role, and the method comprises the steps: carrying out the standardization processing of game role data through a preset rule according to a user demand, and extracting a keyword; analyzing and integrating the keywords by utilizing game resource relevance to generate a keyword group; and matching and fusing according to the key phrases to generate an information page of the game role. The key words of the game role data are extracted according to user requirements, the key words are analyzed and integrated according to the game resources corresponding to the key words and the relevance of the game resources, the key word groups are generated, finally the corresponding game resources are matched and fused according to the key word groups, and the information page of the game role is generated. The game role does not need to be manually and repeatedly conceptually designed, and the resource corresponding to the game role is called to automatically generate the information interface of the game role according to the user behavior characteristics and the user requirements.

Description

Technical Field

[0001] This invention relates to the field of game technology, and in particular to a method and terminal for generating information pages for game characters. Background Technology

[0002] In video game products, the information pages of some characters often require a lot of manpower to draw and design. Different materials need to be selected for design and production according to the different styles of game characters. Before starting the design, a lot of preliminary concept research and design work is required to complete the final information interface. However, the finished product has a fixed basic pattern and is relatively monotonous. It is impossible to generate information interfaces corresponding to the game characters based on their behavioral characteristics. At the same time, when game resources are updated and iterated, the information interface needs to be redesigned. The traditional design method is inefficient and consumes a lot of manpower. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method and terminal for generating information pages of game characters, thereby solving the problem that the traditional process of generating and updating information pages of game characters is complicated and cannot reflect user characteristics.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows:

[0005] A method for generating an information page for a game character, comprising the steps of:

[0006] S1. Standardize the game character data and extract keywords according to preset rules;

[0007] S2. Analyze and integrate the keywords using the correlation of game resources to generate keyword groups;

[0008] S3. Match and integrate game resources based on the keyword groups to generate an information page for the game characters.

[0009] To solve the above-mentioned technical problems, another technical solution adopted by the present invention is as follows:

[0010] A terminal for generating an information page for a game character includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it performs the following steps:

[0011] S1. Standardize the game character data and extract keywords according to preset rules;

[0012] S2. Analyze and integrate the keywords using the correlation of game resources to generate keyword groups;

[0013] S3. Based on the keyword groups, match and merge to generate an information page for the game character.

[0014] The beneficial effects of this invention are as follows: It provides a method and terminal for generating information pages for game characters. The method extracts keywords from game character data according to preset rules, analyzes and integrates the game resources corresponding to the keywords and their relevance, generates keyword groups, and finally matches and integrates the corresponding game resources according to the keyword groups to generate information pages for game characters. That is, there is no need for manual and repeated conceptual design of game characters. By utilizing the behavioral characteristics of game characters, the information interface of game characters can be automatically generated by retrieving the resources corresponding to the game characters. Attached Figure Description

[0015] Figure 1 This is a flowchart illustrating a method for generating an information page for a game character according to an embodiment of the present invention;

[0016] Figure 2 This is a flowchart illustrating a method for generating an information page for a game character according to an embodiment of the present invention.

[0017] Figure 3 This is a schematic diagram of a terminal that generates an information page for a game character according to an embodiment of the present invention;

[0018] Label Explanation:

[0019] 1. A terminal for generating information pages of game characters; 2. A memory; 3. A processor. Detailed Implementation

[0020] To explain in detail the technical content, objectives, and effects of the present invention, the following description is provided in conjunction with the embodiments and accompanying drawings.

[0021] Please refer to Figure 1 as well as Figure 2 A method for generating an information page for a game character, comprising the steps of:

[0022] S1. Standardize the game character data and extract keywords according to preset rules;

[0023] S2. Analyze and integrate the keywords using the correlation of game resources to generate keyword groups;

[0024] S3. Based on the keyword groups, match and merge to generate an information page for the game character.

[0025] As can be seen from the above description, the beneficial effects of the present invention are as follows: keywords of game character data are extracted according to preset rules, and the game resources corresponding to the keywords and their correlations are analyzed and integrated to generate keyword groups. Finally, the game character information page is generated by matching and integrating the corresponding game resources according to the keyword groups. That is, there is no need for manual repeated conceptual design of game characters. The game character information interface is automatically generated by using the behavioral characteristics of game characters and retrieving the resources corresponding to the game characters.

[0026] In some embodiments of the present invention, step S2 specifically comprises:

[0027] S21. Establish the association between the keywords and the corresponding game resources and generate the association results;

[0028] S22. Analyze the potential connections between the keywords based on the association results and establish a potential connection quantification table;

[0029] S23. Extract a preset number of keywords from the potential connection quantification table before sorting, integrate them, and generate keyword groups.

[0030] As described above, since game character data often points to the same game behavior—for example, both "purchasing weapons" and "entering the arena" refer to the game behavior of combat—keywords extracted from different game character data may be associated with the same game resources. For instance, the keywords "weapon trading" and "PVP arena" can both be linked to game resources related to combat. To address this, we analyze the potential connections between keywords based on the association results and generate a potential connection quantification table. Then, we integrate a preset number of keywords from the top of the potential connection quantification table to generate keyword groups. For example, the potential connection quantification table contains keywords such as "weapon trading - PVP arena," "weapon trading - dungeon trials," "weapon trading - auction discussion," and "auction discussion - bargaining expert." Based on the frequency of these keywords, we extract the keywords "weapon trading" and "auction discussion" and integrate them to generate keyword groups such as "business warrior" and "powerful buyer."

[0031] Furthermore, step S30 is included before step S3:

[0032] The keyword groups are sorted according to their weights, and the keyword groups with the highest weights are extracted.

[0033] As described above, in order to improve user experience, the generated keyword groups are finally integrated and sorted according to their weights. Specifically, the weight settings are mainly based on user needs or preferences, and the keyword groups with the highest weights that match user needs are extracted for generating information pages.

[0034] In some embodiments of the present invention, the game character data includes game scene data and character behavior data.

[0035] As can be seen from the above description, in order to accurately collect user data, game character data acquisition needs to collect the game scene in which the user manipulates the game character and the specific behavior in that scene, thereby enhancing data accuracy.

[0036] Furthermore, the role behavior data includes at least one of process data, outcome data, and social data.

[0037] As can be seen from the above description, since users' behavior often exhibits different styles at different stages, such as being more aggressive during combat in the game but humorous when communicating with opponents after the game, in order to further improve the accuracy of data acquisition, at least one of the following is collected: process data, result data, and social data of character behavior.

[0038] Please refer to Figure 3 A terminal 1 for generating information pages of game characters includes a memory 2, a processor 3, and a computer program stored on the memory 2 and executable on the processor 3. When the processor 3 executes the computer program, it performs the following steps:

[0039] S1. Standardize the game character data and extract keywords according to preset rules;

[0040] S2. Analyze and integrate the keywords using the correlation of game resources to generate keyword groups;

[0041] S3. Match and integrate game resources based on the keyword groups to generate an information page for the game characters.

[0042] As described above, a terminal execution carrier for generating information pages for game characters is provided. During the execution of the above method, keywords of game character data are extracted according to user needs, and the game resources corresponding to the keywords and their relevance are analyzed and integrated to generate keyword groups. Finally, the game character information page is generated by matching and integrating the corresponding game resources according to the keyword groups. That is, there is no need for manual and repeated conceptual design of game characters. By utilizing user behavior characteristics and user needs, the information interface of game characters is automatically generated by retrieving the resources corresponding to the game characters.

[0043] In some embodiments of the present invention, step S2 specifically comprises:

[0044] S21. Establish the association between the keywords and the corresponding game resources and generate the association results;

[0045] S22. Analyze the potential connections between the keywords based on the association results and establish a potential connection quantification table;

[0046] S23. Extract a preset number of keywords from the potential connection quantification table before sorting, integrate them, and generate keyword groups.

[0047] As described above, since game character data often points to the same game behavior—for example, both "purchasing weapons" and "entering the arena" refer to the game behavior of combat—keywords extracted from different game character data may be associated with the same game resources. For instance, the keywords "weapon trading" and "PVP arena" can both be linked to game resources related to combat. To address this, we analyze the potential connections between keywords based on the association results and generate a potential connection quantification table. Then, we integrate a preset number of keywords from the top of the potential connection quantification table to generate keyword groups. For example, the potential connection quantification table contains keywords such as "weapon trading - PVP arena," "weapon trading - dungeon trials," "weapon trading - auction discussion," and "auction discussion - bargaining expert." Based on the frequency of these keywords, we extract the keywords "weapon trading" and "auction discussion" and integrate them to generate keyword groups such as "business warrior" and "powerful buyer."

[0048] Furthermore, step S30 is included before step S3:

[0049] The keyword groups are sorted according to their weights, and the keyword groups with the highest weights are extracted.

[0050] As described above, in order to improve user experience, the generated keyword groups are finally integrated and sorted according to their weights. Specifically, the weight settings are mainly based on user needs or preferences, and the keyword groups with the highest weights that match user needs are extracted for generating information pages.

[0051] In some embodiments of the present invention, the game character data includes game scene data and character behavior data.

[0052] As can be seen from the above description, in order to accurately collect user data, game character data acquisition needs to collect the game scene in which the user manipulates the game character and the specific behavior in that scene, thereby enhancing data accuracy.

[0053] Furthermore, the role behavior data includes at least one of process data, outcome data, and social data.

[0054] As can be seen from the above description, since users' behavior often exhibits different styles at different stages, such as being more aggressive during combat in the game but humorous when communicating with opponents after the game, in order to further improve the accuracy of data acquisition, at least one of the following is collected: process data, result data, and social data of character behavior.

[0055] This invention provides a method and terminal for generating information pages for game characters, mainly used for intelligently generating information pages for game characters related to user needs. The following is a detailed description with reference to embodiments.

[0056] Please refer to Figures 1 to 2 Embodiment 1 of the present invention is: a method for generating an information page for a game character, comprising the following steps:

[0057] S1. Standardize the game character data according to preset rules and extract keywords;

[0058] S2. Analyze and integrate keywords based on the relevance of game resources to generate keyword groups;

[0059] S3. Based on keyword groups, match and integrate game resources to generate information pages for game characters.

[0060] In this embodiment, keywords for game character data are extracted based on user needs. The game resources corresponding to the keywords and their relevance are analyzed and integrated to generate keyword groups. Finally, the game resources corresponding to the keyword groups are matched and integrated to generate the information page of the game character. This eliminates the need for repeated manual conceptual design of game characters. By utilizing user behavior characteristics and user needs, the information interface of the game character is automatically generated by retrieving the resources corresponding to the game character.

[0061] Specifically, game character data includes game scene data and character behavior data; character behavior data includes at least one of process data, result data, and social data.

[0062] To accurately collect user data, game character data acquisition requires collecting information on the game scene in which the user manipulates the game character and the specific behavior within that scene, thereby enhancing data accuracy. In addition, since users' behavior often exhibits different styles at different stages—for example, being aggressive during combat but humorous when interacting with opponents after the game—at least one of the following is collected to further improve the accuracy of data acquisition: process data, outcome data, and social data of character behavior.

[0063] In this example, a method for generating an information page for a game character is applied as follows:

[0064] In the game, users control their characters to complete multiple kill missions in the arena. Based on the number and quality of kills, they can obtain the titles "Invincible" and "Beyond the Limits" respectively. At the same time, based on the method of the kill, they can obtain the title "One-Sword Kill". Matching the game scene where the game character is located at the time, such as the desert map, the materials from the above three title interfaces and scene information are combined to finally generate the game character's information page.

[0065] Please refer to Figures 1 to 2 The second embodiment of the present invention is as follows: Based on the first embodiment, step S2 specifically includes:

[0066] S21. Establish the association between keywords and corresponding game resources and generate association results;

[0067] S22. Analyze the potential connections between keywords based on the association results and establish a potential connection quantification table;

[0068] S23. Extract a preset number of keywords from the potential connection quantification table before sorting, integrate them, and generate keyword groups.

[0069] In this embodiment, since game character data often points to the same game behavior—for example, both "purchasing weapons" and "entering the arena" refer to the game behavior of combat—keywords extracted from different game character data may be associated with the same game resource. For instance, the keywords "weapon trading" and "PVP arena" can both be linked to the game resource corresponding to combat. To address this, the potential connections between keywords are analyzed based on the association results, and a potential connection quantification table is generated. A preset number of keywords from the top of the potential connection quantification table are then integrated to generate keyword groups. For example, the potential connection quantification table contains keywords such as "weapon trading - PVP arena," "weapon trading - dungeon trials," "weapon trading - auction discussion," and "auction discussion - bargaining expert." Based on the frequency of these keywords, the keywords "weapon trading" and "auction discussion" are extracted and integrated to generate keyword groups such as "business warrior" and "powerful buyer."

[0070] Specifically, step S30 is included before step S3:

[0071] Based on user needs, the keyword groups with the highest weight are extracted; that is, in order to improve user experience, the generated keyword groups are finally integrated, filtered according to user needs, and the keyword groups with the highest weight that match user needs are extracted to generate information pages.

[0072] Please refer to Figures 1 to 2 Embodiment three of the present invention is as follows: Based on embodiment two, the keywords are analyzed and integrated using the correlation of game resources to generate keyword groups. Specific application examples are as follows:

[0073] Game character data: Scene data: Team Arena and Shop;

[0074] Character behavior data: Arena PvP and Mall trading.

[0075] The process of classifying the data and extracting keywords is as follows:

[0076] 1. Standardized content for Team Arena: player character information, team information, teammate information, opponent information, match mode, match duration, etc.

[0077] 2. Standardized content of player PK process behavior: Player's attack, defense, healing, control, and assistance behaviors, as well as the synchronous recording of player character information, location information, target information, behavior type, behavior result, etc.

[0078] 3. Standardized content of player PK results: Player kills, being killed, assists, tower pushes, dragon captures, etc., as well as synchronously recorded player character information, location information, target information, behavior type, behavior result, etc.

[0079] 4. Standardized content of player behavior in the in-game store before and after PvP: purchasing, using, selling, and upgrading equipment, as well as synchronously recording player character information, equipment information, purchase time, usage time, sale time, upgrade time, etc.

[0080] 5. Standardized content of player combat skills before and after PK: player use and upgrade skills, and synchronous recording of player character information, skill information, usage time, and upgrade time.

[0081] 6. Standardized content of player-versus-player (PvP) communication behavior: Players communicate with teammates, opponents, and the system, recording player character information, communication partners, communication content, communication methods, and communication time.

[0082] Based on the above standardized content, keywords are associated with game resources, and a potential connection quantification table is established based on the association results.

[0083] For example, the following potential relationships exist in the correlation quantification table:

[0084] Case Study: Delay tactics, with each game lasting an average of over 30 minutes (the normal average is 15 minutes); Control-oriented playstyle, using control skills to prolong the game; Skilled at contesting game resources, observing opportunities, and using control skills to seize game resources; Dislikes in-game chat.

[0085] Based on the player behaviors described above, corresponding keywords will be integrated. For example: procrastination, crowd control expert, precise grabbing, ruthless / lonely / arrogant. These keywords will then be integrated and selected according to user needs; users can also make appropriate modifications (e.g., ruthless crowd control). Finally, based on this generated combination name (ruthless crowd control), a corresponding image will be generated by matching or merging these keywords.

[0086] Please refer to Figure 3 Embodiment four of the present invention is as follows:

[0087] A terminal 1 for generating information pages for game characters includes a memory 2, a processor 3, and a computer program stored in the memory 2 and executable on the processor 3. When the processor 3 executes the computer program, it completes the steps of any of the methods for generating information pages for game characters in embodiments one to three described above.

[0088] In summary, the present invention provides a method and terminal for generating information pages for game characters. It extracts keywords from game character data based on user needs, analyzes and integrates the corresponding game resources and their relevance to generate keyword groups, and finally matches and integrates the corresponding game resources based on these keyword groups to generate the game character's information page. This eliminates the need for repeated manual conceptual design of game characters; instead, it automatically generates the game character's information interface by utilizing user behavior characteristics and user needs to retrieve the corresponding resources.

[0089] The above description is merely an embodiment of the present invention and does not limit the patent scope of the present invention. Any equivalent modifications made based on the content of the present invention specification and drawings, or direct or indirect applications in related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for generating an information page for a game character, characterized in that: Including the following steps: S1. Standardize the game character data and extract keywords according to preset rules; S2. Analyze and integrate the keywords using the correlation of game resources to generate keyword groups; S3. Based on the keyword groups, match and merge to generate an information page for the game character.

2. The method for generating an information page for a game character according to claim 1, characterized in that: Step S2 specifically involves: S21. Establish the association between the keywords and the corresponding game resources and generate the association results; S22. Analyze the potential connections between the keywords based on the association results and establish a potential connection quantification table; S23. Extract a preset number of keywords from the potential connection quantification table before sorting, integrate them, and generate keyword groups.

3. The method for generating an information page for a game character according to claim 2, characterized in that: Step S30 is included before step S3: The keyword groups are sorted according to preset weights, and the keyword groups with the highest weights are extracted.

4. The method for generating an information page for a game character according to claim 1, characterized in that: The game character data includes game scene data and character behavior data.

5. The method for generating an information page for a game character according to claim 4, characterized in that: The role behavior data includes at least one of process data, outcome data, and social data.

6. A terminal for generating an information page for game characters, characterized in that: Includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, performs the following steps: S1. Standardize the game character data and extract keywords according to preset rules; S2. Analyze and integrate the keywords using the correlation of game resources to generate keyword groups; S3. Based on the keyword groups, match and merge to generate an information page for the game character.

7. A terminal for generating an information page for a game character according to claim 6, characterized in that: Step S2 specifically involves: S21. Establish the association between the keywords and the corresponding game resources and generate the association results; S22. Analyze the potential connections between the keywords based on the association results and establish a potential connection quantification table; S23. Extract a preset number of keywords from the potential connection quantification table before sorting, integrate them, and generate keyword groups.

8. A terminal for generating an information page for a game character according to claim 7, characterized in that: Step S30 is included before step S3: The keyword groups are sorted according to preset weights, and the keyword groups with the highest weights are extracted.

9. A terminal for generating an information page for a game character according to claim 6, characterized in that: The game character data includes game scene data and character behavior data.

10. A terminal for generating an information page for a game character according to claim 9, characterized in that: The role behavior data includes at least one of process data, outcome data, and social data.

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