Content optimization system and method based on directory framework
By generating or unifying the directory framework, the problems of incomplete content and poor chapter consistency in content-generated AI services are solved, and the rapid generation of a complete directory framework and rich text content is achieved, which is suitable for a variety of topics.
Patent Information
- Application Number
- CN202410155397.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-02-04
- Publication Date
- 2025-08-08
AI Technical Summary
The existing content generation AI services generate few chapters, incomplete text content, and poor chapter consistency. Users need to ask multiple questions to obtain a complete directory, which leads to inconvenience in use.
The directory framework generation module obtains user topics, generates or merges several directory frameworks, forms a complete directory framework, and generates rich text content based on this.
It realizes no need to preset the directory framework, quickly obtains clear and rich text content with topics, saves user time, and is suitable for multiple topics to generate complete directory framework text.
Smart Images
Figure CN120449829A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of content-generating AI services, and in particular to a content optimization system and method based on a directory framework. Background Art
[0002] Content-generating AI services, which connect to general-purpose generative AI services such as ChatGPT and Wenxin Yiyan, can provide answers to specific user questions. Users can request content with a directory structure, such as performance review summary reports, employee training plans, brand marketing plans, or customer satisfaction surveys, through chat windows or Q&A sessions on the website. The content-generating AI service will also generate text based on the user's questions and present it to the user.
[0003] Typically, content generated by AI services presents users with incomplete catalog frameworks, leading to the following problems:
[0004] (1) The content generated by content-generating AI services has few chapters and incomplete text content;
[0005] (2) Sending the same question to the content generation AI service results in large differences in the chapters and content generated, which cannot meet the user's chapter consistency requirements;
[0006] (3) If users want to obtain a complete catalog of contents, they need to ask multiple questions and then extract the complete catalog of contents and content, which is very inconvenient;
[0007] Therefore, users usually need a text content with a clear theme, a relatively complete directory framework and rich content, and do not want to get an incomplete directory or incomplete text content. Therefore, it is urgent to provide a content optimization system and method based on the directory framework to solve the above problems. Summary of the Invention
[0008] To this end, it is necessary to provide a text content with a clear theme, a relatively complete directory framework and rich content that users need. Use the content generation AI service to generate multiple directory frameworks for a specific theme, and form a relatively complete directory framework by taking the union method. Then, based on the specific theme and the relatively complete directory framework, require the general generation AI service to generate a text content with a relatively complete directory framework and rich content.
[0009] To achieve the above objectives, the inventors provide a content optimization system based on a directory framework, comprising:
[0010] The content acquisition module is used to obtain the clear content theme provided by the user and send a request for generating a directory framework to the directory framework generation module;
[0011] The directory framework generation module is used to directly feedback the directory framework based on the request of the content acquisition module, or send a request to the content generation AI service to obtain the complete directory framework from it. It is also used to send the complete directory framework to the content generation module to request the generation of result content;
[0012] Content generation AI service, used to generate a complete catalog framework based on the request and provide feedback;
[0013] The content generation module is used to request the content generation AI service to generate result content corresponding to the complete directory framework based on the complete directory framework, and send the feedback to the content acquisition module after receiving it.
[0014] As a preferred embodiment of the present invention, the directory framework generation module is used to send a request to the content generation AI service according to the request of the content acquisition module, and obtain the directory framework from it, including: the directory framework generation module automatically encapsulates the prompt statement instruction according to the request of the content acquisition module, and sends it to the content generation AI service, the content generation AI service generates several directory frameworks according to the request, and automatically takes the union to generate a complete directory framework and then feeds back the result to the directory framework generation module; or,
[0015] After the content generation AI service generates several directory frameworks based on the request, it directly feeds them back to the directory framework generation module. After receiving several directory frameworks, the directory framework generation module automatically takes the union of them to generate a complete directory framework.
[0016] To achieve the above objectives, the inventors also provide a content optimization method based on a directory framework, comprising the following steps:
[0017] S1, clarify the theme of the generated content;
[0018] S2, based on the clear content theme, determines whether a directory framework with the same theme has been generated. If it has been generated, it directly returns the directory framework. If not, it encapsulates prompt statements to generate several directory frameworks, obtains a complete directory framework by taking the union, stores the record, and returns the directory framework;
[0019] S3, according to a specific topic and a complete directory framework, encapsulates prompt statement instructions, and generates text content corresponding to the directory framework according to the prompt statement instructions.
[0020] As a preferred method of the present invention, step S2 also includes: the AI application background automatically encapsulates prompt statement instructions according to a specific content theme, requires the content generation AI service to generate several directory frameworks of the specific theme according to the prompt statement instructions, and requires the content generation AI service to take the union and output a complete directory framework.
[0021] As a preferred method of the present invention, step S2 also includes: the AI application background automatically encapsulates prompt statement instructions according to a specific content theme, and requires the content generation AI service to generate several directory frameworks of the specific theme according to the prompt statement instruction requirements. The AI application background outputs a complete directory framework by taking the union.
[0022] To achieve the above objectives, the inventors also provide a content optimization method based on a directory framework, comprising the following steps:
[0023] M1, the content acquisition module obtains the clear content theme provided by the user and sends the clear content theme to the directory framework generation module;
[0024] M2, after receiving a clear content topic, the directory framework generation module determines whether a directory framework with the same topic has been generated. If a directory framework with the same topic has been generated, the directory framework is obtained from the stored record and directly fed back to the content acquisition module. If a directory framework with the same topic has not been generated, the directory framework generation module encapsulates a prompt statement instruction to require the content generation AI service to generate several directory frameworks, and requires the content generation AI service to take the union and return a complete directory framework. Alternatively, the directory framework generation module encapsulates a prompt statement instruction to require the content generation AI service to generate several directory frameworks, and the directory framework generation module takes the union to form a complete directory framework, stores the record, and then feeds it back to the content acquisition module.
[0025] M3, after receiving the complete directory framework, the content generation module encapsulates the prompt statement instruction, requires the content generation AI service to generate the result content according to the specified directory framework, and returns it to the content generation module;
[0026] M4, after receiving the result content, the content generation module sends it to the content acquisition module, which then presents the complete directory framework and result content to the user.
[0027] Different from the existing technology, the above technical solution has the following beneficial effects:
[0028] (1) This system and method achieves a directory framework that does not require pre-setting of many topics. AI is used to quickly obtain a relatively complete directory framework with clear topics, without the need for manual pre-setting of the directory framework;
[0029] (2) After the system and method use the content generation AI service to generate a directory framework for a specific topic, the generated relatively complete directory framework is used to generate the specific topic text content required by the user, which can effectively save the user's time in finding and searching the complete directory framework;
[0030] (3) The subject matter of this system and method is not limited to the scope of application. When it is necessary to generate content with a directory framework for a specific subject, the system and method can be used to obtain relatively complete directory framework text content. BRIEF DESCRIPTION OF THE DRAWINGS
[0031] Figure 1 This is a system framework diagram described in the specific implementation method;
[0032] Figure 2 The method flow described in the specific implementation method Figure 1 ;
[0033] Figure 3 The method flow described in the specific implementation method Figure 2 . DETAILED DESCRIPTION
[0034] In order to explain the technical content, structural features, achieved objectives and effects of the technical solution in detail, the following is a detailed description in conjunction with specific embodiments and accompanying drawings.
[0035] As shown in FIG1 , this embodiment provides a content optimization system based on a directory framework, including:
[0036] The content acquisition module is used to obtain the clear content theme provided by the user and send a request for generating a directory framework to the directory framework generation module;
[0037] The directory framework generation module is used to directly feedback the directory framework based on the request of the content acquisition module, or send a request to the content generation AI service to obtain the complete directory framework from it. It is also used to send the complete directory framework to the content generation module to request the generation of result content;
[0038] Content generation AI service, used to generate a complete catalog framework based on the request and provide feedback;
[0039] The content generation module is used to request the content generation AI service to generate result content corresponding to the complete directory framework based on the complete directory framework, and send the feedback to the content acquisition module after receiving it.
[0040] In the above embodiment, the directory framework generation module is used to send a request to the content generation AI service according to the request of the content acquisition module, and obtain the directory framework from it, including: the directory framework generation module automatically encapsulates the prompt statement instruction according to the request of the content acquisition module and sends it to the content generation AI service, the content generation AI service generates several directory frameworks according to the request, and automatically takes the union to generate a complete directory framework and then feeds back the result to the directory framework generation module; or,
[0041] After the content generation AI service generates several directory frameworks based on the request, it directly feeds them back to the directory framework generation module. After receiving several directory frameworks, the directory framework generation module automatically takes the union of them to generate a complete directory framework.
[0042] like Figure 2 As shown, in some embodiments, a content optimization method based on a directory framework is also provided, comprising the following steps:
[0043] S1, clarify the theme of the generated content;
[0044] S2, based on the clear content theme, determines whether a directory framework with the same theme has been generated. If it has been generated, it directly returns the directory framework. If not, it encapsulates prompt statements to generate several directory frameworks, obtains a complete directory framework by taking the union, stores the record, and returns the directory framework;
[0045] S3, according to a specific topic and a complete directory framework, encapsulates prompt statement instructions, and generates text content corresponding to the directory framework according to the prompt statement instructions.
[0046] In step S2 of this embodiment, it also includes: the AI application background automatically encapsulates prompt statement instructions according to a specific content theme, requires the content generation AI service to generate several directory frameworks of the specific theme according to the prompt statement instructions, and requires the content generation AI service to take the union and output a complete directory framework.
[0047] Alternatively, step S2 also includes: the AI application background automatically encapsulates prompt statement instructions according to a specific content theme, and requires the content generation AI service to generate several directory frameworks of the specific theme according to the prompt statement instructions. The AI application background outputs a complete directory framework by taking the union.
[0048] like Figure 3 As shown, in some embodiments, a content optimization method based on a directory framework is also provided, comprising the following steps:
[0049] M1, the content acquisition module obtains the clear content theme provided by the user and sends the clear content theme to the directory framework generation module;
[0050] M2: After receiving a clear content topic, the directory framework generation module determines whether a directory framework with the same topic has been generated. If a directory framework with the same topic has been generated, the directory framework is obtained from the storage record and directly fed back to the content acquisition module. If a directory framework with the same topic has not been generated, the directory framework generation module encapsulates a prompt statement instruction to require the content generation AI service to generate several directory frameworks, and requires the content generation AI service to take the union and return a complete directory framework, or the directory framework generation module encapsulates a prompt statement instruction to require the content generation AI service to generate several directory frameworks, and the directory framework generation module takes the union to form a complete directory framework, stores the record, and then feeds it back to the content acquisition module. M3: After receiving the complete directory framework, the content generation module encapsulates a prompt statement instruction to require the content generation AI service to generate the result content according to the specified directory framework and return it to the content generation module.
[0051] M4, after receiving the result content, the content generation module sends it to the content acquisition module, which then presents the complete directory framework and result content to the user.
[0052] To further illustrate the specific implementation process of the above system and invention, the following examples are given:
[0053] The content acquisition module receives clear content topics provided by the user, such as: research reports, investigation reports, summary reports, etc. under the report category; talent introduction summary reports, new employee training summary reports, and performance appraisal summary reports under the summary report category. When the user selects the performance appraisal summary report, the content acquisition module sends the performance appraisal summary report topic to the directory framework generation module.
[0054] The directory framework generation module receives the performance appraisal summary report topic and determines whether a directory framework with the same topic has been generated. If no directory framework for the topic has been generated, it sends an instruction to the content generation AI service, requesting it to generate several directory frameworks, store the records, and directly feed back to the content acquisition module. If a complete directory framework for the topic has been generated, it obtains the directory framework from the stored records and directly feeds back to the content acquisition module. In this embodiment, the content generation AI service used, such as ChatGPT and Wenxin Yiyan, generates and obtains a relatively complete directory framework. In this embodiment, there are three implementation methods:
[0055] Method 1: Based on the performance appraisal summary report topic, automatically encapsulate prompt statements and instructions, request the content generation AI service to generate 10 different directory frameworks, and automatically take the union and return the results. The encapsulated prompt statements are as follows:
[0056] Please generate a directory framework for 10 different performance appraisal summary reports for me, and based on the generated directory frameworks of the 10 performance appraisal summary reports, take the union and return a complete directory framework.
[0057] The catalog framework generation module then sends a prompt statement instruction to the content generation AI service. After receiving the instruction, the generation AI service generates a relatively complete catalog framework of the performance appraisal summary report and returns it to the catalog framework generation module as follows:
[0058] 1 Introduction;
[0059] 2. Company Overview;
[0060] 2.1 Company performance summary;
[0061] 3. Overview of performance appraisal;
[0062] 3.1 Goal setting;
[0063] 3.2 Assessment criteria;
[0064] ….
[0065] Method 2: Search the performance review summary report topic from the stored records. If a directory framework for the topic has been generated, obtain the generated directory framework. If the directory framework has not been generated, automatically encapsulate the prompt statement instruction, request the content generation AI service to generate 10 different directory frameworks, and automatically take the union and return the result. The encapsulated prompt statement instruction is as follows:
[0066] Please generate a directory framework for 10 different performance appraisal summary reports for me, and based on the generated directory frameworks of the 10 performance appraisal summary reports, take the union and return a complete directory framework.
[0067] The catalog framework generation module then sends a prompt statement instruction to the content generation AI service. After receiving the instruction, the generation AI service generates a relatively complete catalog framework of the performance appraisal summary report and returns it to the catalog framework generation module as follows:
[0068] 1 Introduction;
[0069] 2. Company Overview;
[0070] 2.1 Company performance summary;
[0071] 3. Overview of performance appraisal;
[0072] 3.1 Goal setting;
[0073] 3.2 Assessment criteria;
[0074] ….
[0075] And store the generated directory framework according to the performance appraisal summary report theme.
[0076] Method 3: Based on the performance appraisal summary report topic, automatically encapsulate prompt statements and instruct the content generation AI service to generate 10 different directory frameworks. The encapsulated prompt statements are as follows:
[0077] Please generate the table of contents for 10 different performance appraisal summary reports for me;
[0078] The catalog framework generation module then sends a prompt statement instruction to the content generation AI service. After receiving the instruction, the content generation AI service generates 10 catalog frameworks for the topic and returns them to the catalog framework generation module, as follows:
[0079] Report 1:
[0080] 1 Introduction;
[0081] 2. Company Overview;
[0082] 3. Overview of performance appraisal;
[0083] 3.1 Goal setting;
[0084] 3.2 Assessment criteria;
[0085] ….
[0086] Report 2:
[0087] 1 Introduction;
[0088] 2. Company Overview;
[0089] 2.1 Company performance summary;
[0090] 3. Analysis of performance evaluation results;
[0091] 3.1 Individual performance evaluation;
[0092] ….
[0093] After receiving the data, the directory framework generation module traverses each report and directory one by one, removes duplicate and similar categories through methods such as taking unions, and adds specific algorithms to finally form a complete directory framework, as shown below:
[0094] 1 Introduction;
[0095] 2. Company Overview;
[0096] 2.1 Company performance summary;
[0097] 3. Overview of performance appraisal;
[0098] 3.1 Goal setting;
[0099] 3.2 Assessment criteria;
[0100] ….
[0101] The catalog framework generation module sends the complete catalog framework data of the performance appraisal summary report to the content generation module. After receiving the data, the content generation module encapsulates prompt instructions and requests the content generation AI service to generate the result content according to the specified catalog framework. The prompt instructions are as follows:
[0102] I need you to write a detailed performance appraisal summary report for me. Please generate it based on the directory framework I provide you:
[0103] 1 Introduction;
[0104] 2. Company Overview;
[0105] 2.1 Company performance summary;
[0106] …;
[0107] 3. Overview of performance appraisal;
[0108] 3.1 Goal setting;
[0109] 3.2 Assessment criteria;
[0110] ….
[0111] The content generation module then sends a prompt statement instruction to the content generation AI service. After receiving the instruction, the generation AI service generates a detailed performance appraisal summary report according to the provided directory framework and returns the results to the content generation module as follows:
[0112] 1 Introduction
[0113] This performance appraisal summary report evaluates and summarizes the company's overall performance based on the company's performance appraisal system and goal setting, aiming to...
[0114] 2 Company Overview
[0115] 2.1 Company Performance Summary
[0116] During the past assessment period, the company achieved...performance and results.
[0117] ….
[0118] 3 Performance Appraisal Overview
[0119] 3.1 Goal Setting
[0120] During this assessment cycle, the company sets key goals and specific tasks for employees and teams.
[0121] ….
[0122] The content generation module receives the result content and sends the data to the content acquisition module, which finally presents the complete directory framework and content-rich performance appraisal summary report to the user through the content acquisition module.
[0123] It should be noted that although the above embodiments have been described herein, this does not limit the scope of patent protection of the present invention. Therefore, based on the innovative concept of the present invention, changes and modifications to the embodiments described herein, or equivalent structural or equivalent process transformations made using the contents of the present invention's specification and drawings, and direct or indirect application of the above technical solutions to other related technical fields, are all included in the scope of patent protection of the present invention.
Claims
1. A content optimization system based on a directory framework, characterized in that: include: The content acquisition module is used to obtain the clear content theme provided by the user and send a request for generating a directory framework to the directory framework generation module; The directory framework generation module is used to directly feedback the directory framework based on the request of the content acquisition module, or send a request to the content generation AI service to obtain the complete directory framework from it. It is also used to send the complete directory framework to the content generation module to request the generation of result content; Content generation AI service, used to generate a complete catalog framework based on the request and provide feedback; The content generation module is used to request the content generation AI service to generate result content corresponding to the complete directory framework based on the complete directory framework, and send the feedback to the content acquisition module after receiving it.
2. The content optimization system based on the directory framework according to claim 1 is characterized in that: The directory framework generation module is used to send a request to the content generation AI service according to the request of the content acquisition module and obtain the directory framework from it, including: the directory framework generation module automatically encapsulates the prompt statement instruction according to the request of the content acquisition module and sends it to the content generation AI service, the content generation AI service generates several directory frameworks according to the request, and automatically takes the union to generate a complete directory framework and then feeds back the result to the directory framework generation module; or, After the content generation AI service generates several directory frameworks based on the request, it directly feeds them back to the directory framework generation module. After receiving several directory frameworks, the directory framework generation module automatically takes the union of them to generate a complete directory framework.
3. A content optimization method based on a directory framework, characterized in that: The following steps are involved: S1, clarify the theme of the generated content; S2, based on the clear content theme, determines whether a directory framework with the same theme has been generated. If it has been generated, it directly returns the directory framework. If not, it encapsulates prompt statements to generate several directory frameworks, obtains a complete directory framework by taking the union, stores the record, and returns the directory framework; S3, according to a specific topic and a complete directory framework, encapsulates prompt statement instructions, and generates text content corresponding to the directory framework according to the prompt statement instructions.
4. The content optimization method based on directory framework according to claim 3 is characterized in that: Step S2 also includes: the AI application background automatically encapsulates prompt statement instructions according to the specific content theme, requires the content generation AI service to generate several directory frameworks of the specific theme according to the prompt statement instructions, and requires the content generation AI service to take the union and output the complete directory framework.
5. The content optimization method based on directory framework according to claim 3 is characterized in that: Step S2 also includes: the AI application background automatically encapsulates prompt statement instructions according to the specific content theme, and requires the content generation AI service to generate several directory frameworks of the specific theme according to the prompt statement instruction requirements. The AI application background outputs the complete directory framework by taking the union.
6. A content optimization method based on a directory framework, characterized in that: The following steps are involved: M1, the content acquisition module obtains the clear content theme provided by the user and sends the clear content theme to the directory framework generation module; M2, after receiving a clear content topic, the directory framework generation module determines whether a directory framework with the same topic has been generated. If a directory framework with the same topic has been generated, the directory framework is obtained from the stored record and directly fed back to the content acquisition module. If a directory framework with the same topic has not been generated, the directory framework generation module encapsulates a prompt statement instruction to require the content generation AI service to generate several directory frameworks, and requires the content generation AI service to take the union and return a complete directory framework. Alternatively, the directory framework generation module encapsulates a prompt statement instruction to require the content generation AI service to generate several directory frameworks, and the directory framework generation module takes the union to form a complete directory framework, stores the record, and then feeds it back to the content acquisition module. M3, after receiving the complete directory framework, the content generation module encapsulates the prompt statement instruction, instructing the content generation AI service to generate the result content according to the specified directory framework and returns it to the content generation module; M4, after receiving the result content, the content generation module sends it to the content acquisition module, which then presents the complete directory framework and result content to the user.