Active prompt type text content generation system and method

Through the proactive prompt text content generation system, users can help select more accurate keywords and related questions, solve the problem of irregular key terms when users ask questions to content-generated AI services, and improve the accuracy and user experience of answers.

CN120030106APending Publication Date: 2025-05-23NANJING YIZHAN SHENDENG NETWORK INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202311552563.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2023-11-21
Publication Date
2025-05-23

AI Technical Summary

Technical Problem

When users ask questions to content-generated AI services, the key terms are not standardized and inaccurate, resulting in inaccurate answers; users cannot accurately describe the problem, or are not clear about common questions or popular questions about related questions.

Method used

It provides an active prompt text content generation system, which presets keywords and related issues through the data processing module, identifies the text information entered by the user, and matches the preset keywords, feedbacks the matching results, displays related issues, and helps users choose more accurate keywords and related issues.

Benefits of technology

Effectively guide users to choose standardized and accurate key terms, help users describe questions more accurately, provide common and popular questions related to them, and improve the accuracy and user experience of answers.

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Abstract

The invention discloses an active prompt type text content generation system and method, and the system comprises a data processing module which is used for presetting a first keyword, a second keyword and / or related problems of the first keyword; the server is also used for receiving the text information recognized by the content input module, matching the text information with a preset second keyword to determine a corresponding first keyword, and feeding back a matching result to the content input module; the content input module is used for identifying text information in an input box and sending the identified text information to the data processing module; the display module is also used for displaying the first keyword and / or related problems of the first keyword according to a feedback result of the data processing module for a user to select; the input module is also used for identifying the first keyword selected by the user and / or related questions of the first keyword, and updating the identified first keyword and / or related questions of the first keyword into the input box; the scheme has the characteristic of helping the user to better ask questions and obtain expected answers.
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Description

Technical Field

[0001] The present invention relates to the field of content generation AI, and in particular to a system and method for generating text content with active prompting. Background Art

[0002] The use of content-generating AI services depends largely on how users ask questions, and different ways of asking questions result in different accuracy of information obtained. For example, the key terms used in users' questions may not be standardized, or they may not be able to accurately describe more specific key information, resulting in the scope of the question being too large or inaccurate; or users may not be able to accurately describe specific questions, or they are not clear about the specific ways of asking related questions, nor do they know what are the current popular questions about a certain topic.

[0003] Usually, content-generating AI services answer questions based on user text descriptions, which have the following pain points:

[0004] (1) The key terms in the questions are not standardized or accurate, and the results generated by the content generation AI service are also inaccurate, resulting in the answer not being what the user actually wants;

[0005] (2) The key terms in the questions are broad and imprecise, and the results generated by the content-generating AI service are also imprecise, resulting in the answer not being what the user actually wants;

[0006] (3) The description of the question is inaccurate, and the results generated by the content generation AI service are also inaccurate, resulting in the answer being different from what the user actually wants;

[0007] (4) Some users do not know how to ask questions, or do not know which common questions or popular questions to refer to for key terms.

[0008] Therefore, there is an urgent need to provide an active prompt text content generation system and method to solve the above problems. Summary of the invention

[0009] To this end, it is necessary to provide a proactive prompt text content generation system and method that can provide auxiliary prompts to guide users to enter more accurate words or more precise categories when they ask questions but are unable to accurately describe the key words in the question or unable to accurately describe more specific information, or unable to accurately describe the content of the question, and provide related frequently asked questions and popular questions to help users ask better questions and obtain expected answers.

[0010] To achieve the above object, the inventor provides an active prompt text content generation system, comprising:

[0011] The data processing module is used to preset the first keyword, the second keyword and / or questions related to the first keyword; it is also used to receive the text information recognized by the content input module, match it with the preset second keyword to determine the corresponding first keyword, and feed back the matching result to the content input module;

[0012] The content input module is used to identify the text information in the input box and send the identified text information to the data processing module; it is also used to display the first keyword and / or related questions of the first keyword for user selection based on the feedback results of the data processing module; it is also used to identify the first keyword and / or related questions of the first keyword selected by the user, and update the identified first keyword and / or related questions of the first keyword into the input box.

[0013] As a preferred embodiment of the present invention, the first keywords preset by the data processing module include precise words and next-level category keywords, and the second keywords preset by the data processing module include the first keywords and / or synonyms or similar words of the first keywords.

[0014] As a preferred embodiment of the present invention, the first keyword-related questions preset by the data processing module also include questions frequently asked by other users related to the first keyword and / or related hot questions on the Internet.

[0015] As a preferred embodiment of the present invention, the content input module is used to identify text information in an input box. If it is identified that the text information in the input box contains several second keywords, the selected second keyword is displayed, and the first keyword matching the second keyword and / or related questions of the first keyword are displayed, and / or the unselected second keyword is hidden, and the first keyword matching the second keyword and / or related questions of the first keyword are hidden.

[0016] As a preferred embodiment of the present invention, the content input module is used to identify text information in an input box. If the identified text information includes one or several second keywords, when any second keyword in the input box is selected, the first keyword matching the second keyword and / or related questions of the first keyword are displayed. If the matching first keyword has no next-level category, the related questions of the first keyword are directly displayed.

[0017] As a preferred embodiment of the present invention, the content input module is used to identify text information in the input box, and if the second keyword in the input box is identified, the second keyword is highlighted.

[0018] As a preferred embodiment of the present invention, the content input module is used to update the identified first keyword and / or questions related to the first keyword into the input box, including automatic system update and manual user update; and / or replace the keywords in the text information in the input box with the first keyword and / or questions related to the first keyword, and / or append them to the end of the question content in the text information in the input box.

[0019] To achieve the above object, the inventors also provide a method for generating active prompt text content, comprising: the active prompt text content generation system described in any one of the above invention contents, further comprising the following steps:

[0020] S101, a data processing module presets a first keyword, a second keyword and / or questions related to the first keyword;

[0021] S102, the content input module identifies the text information in the input box and sends the identified text information to the data processing module;

[0022] S103, the data processing module receives the recognized text information, matches it with the preset second keyword to determine the corresponding first keyword, and feeds back the matching result to the content input module, and the content input module displays the first keyword and / or related questions of the first keyword according to the feedback result for the user to select;

[0023] S104, the content input module identifies the first keyword and / or the first keyword-related questions selected by the user, and updates the identified first keyword and / or the first keyword-related questions into the input box.

[0024] As a preferred embodiment of the present invention, the step further includes: S105, looping steps S102 to S104 until the user completes inputting the content in the input box.

[0025] To achieve the above purpose, the inventors also provide a method for generating active prompt text content, comprising the following steps:

[0026] M101, presetting the first keyword, the second keyword and / or questions related to the first keyword;

[0027] M102, recognize the text information in the input box;

[0028] M103, matching the recognized text information with a preset second keyword to determine a corresponding first keyword, and displaying the matched first keyword and / or questions related to the first keyword for selection by the user;

[0029] M104, identifying the first keyword and / or the question related to the first keyword selected by the user, and updating the first keyword and / or the question related to the first keyword into the input box;

[0030] M105, looping steps M102 to M104 until the user completes inputting the content.

[0031] As a preferred embodiment of the present invention, in step M01, the preset first keywords include precise words and next-level category keywords, and the preset second keywords include the first keywords and / or synonyms or similar words of the first keywords.

[0032] As a preferred embodiment of the present invention, in step M104, the identified first keyword and / or questions related to the first keyword are updated to the input box, including automatic system update and manual user update; and / or the first keyword and / or questions related to the first keyword are replaced with the keywords in the text information in the input box, and / or appended to the end of the question content in the text information in the input box.

[0033] Different from the prior art, the above technical solution has the following beneficial effects:

[0034] (1) The system and method solve the problem that when users ask questions to content-generating AI services, users input non-standard and inaccurate key terms. The system and method can effectively guide and prompt users to select standard and accurate key terms.

[0035] (2) The system and method solve the problem that when users ask questions to content-generating AI services, the user inputs broad and imprecise terms. The system and method can effectively guide and prompt users to select key terms of more precise categories;

[0036] (3) The system and method solve the problem of inaccurate description of questions asked by users about a certain key term when asking content generation AI services. The system and method can prompt users with recommended questions related to the keyword for their reference;

[0037] (4) The present system and method solve the common problem that when users ask questions about a certain keyword to a content generation AI service, they do not know how to ask the question, or do not know which common questions or popular questions to refer to for the key term. The present system and method can then prompt the user with recommended questions related to the keyword, such as other users' questions about the keyword, related popular questions, etc., for the user's reference. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 A connection diagram of system modules described in the specific implementation method;

[0039] Figure 2A flowchart of the system described in the specific implementation method;

[0040] Figure 3 The method flow described in the specific implementation method Figure 1 ;

[0041] Figure 4 A logic diagram for determining the method described in the specific implementation method;

[0042] Figure 5 The method flow described in the specific implementation method Figure 2 ;

[0043] Figure 6 The dialog display interface of the specific implementation method is shown as follows Figure 1 ;

[0044] Figure 7 The dialog display interface of the specific implementation method is shown as follows Figure 2 ;

[0045] Figure 8 The dialog display interface of the specific implementation method is shown as follows Figure 3 ;

[0046] Fig. 9 The dialog display interface of the specific implementation method is shown as follows Figure 4 ;

[0047] Fig.10 The dialog display interface of the specific implementation method is shown as follows Figure 5 . DETAILED DESCRIPTION

[0048] 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.

[0049] like Figure 1 and Figure 2 As shown, this embodiment provides an active prompt text content generation system, including:

[0050] The data processing module is used to preset the first keyword, the second keyword and / or questions related to the first keyword; it is also used to receive the text information recognized by the content input module, match it with the preset second keyword to determine the corresponding first keyword, and feed back the matching result to the content input module;

[0051] The content input module is used to identify the text information in the input box and send the identified text information to the data processing module; it is also used to display the first keyword and / or related questions of the first keyword for user selection based on the feedback results of the data processing module; it is also used to identify the first keyword and / or related questions of the first keyword selected by the user, and update the identified first keyword and / or related questions of the first keyword to the input box; if the content input module does not identify the first keyword and / or related questions of the first keyword selected by the user, no processing is performed.

[0052] In the above embodiment, the first keywords preset by the data processing module include precise words and next-level category keywords. The second keywords preset by the data processing module include the first keyword and / or synonyms or similar words of the first keyword.

[0053] In some embodiments, the questions related to the first keyword preset by the data processing module also include questions frequently asked by other users related to the first keyword and / or related hot questions on the Internet.

[0054] In different embodiments, the content input module is used to identify the text information in the input box. If it is identified that the text information in the input box contains several second keywords, the selected second keyword is displayed, and the first keyword and / or related questions of the first keyword matching the second keyword are displayed, and / or the unselected second keyword is hidden, and the first keyword and / or related questions of the first keyword matching the second keyword are hidden. Specifically, each identified content can display or hide the corresponding keywords and related questions. If the identified text information includes one or several second keywords, when any second keyword in the input box is selected, the first keyword and / or related questions of the first keyword matching the second keyword are displayed. If the matched first keyword has no next-level category, the related questions of the first keyword are directly displayed; if the first keyword has no related questions, the related questions are not displayed. In different embodiments, if the second keyword in the input box is identified, the second keyword can be highlighted, for example: highlighted, colored, bolded, etc.

[0055] In some embodiments, the content input module is further configured to update the identified first keyword and / or questions related to the first keyword into the input box, including automatic system update and manual user update.

[0056] The content input module is also used to update the identified first keyword and / or the first keyword-related questions to the input box, including replacing the keywords in the text information in the input box with the first keyword and / or the first keyword-related questions, and / or appending them to the end of the question content in the text information in the input box. Specifically: when the user selects the first keyword, the content input module replaces the second keyword in the input box with the first keyword selected by the user; when the user selects the first keyword-related questions, the content input module appends the first keyword-related questions selected by the user to the input box.

[0057] like Figures 1 to 4 As shown, this embodiment also provides a method for generating active prompt text content, including: the active prompt text content generation system described in any one of the above embodiments, further comprising the following steps:

[0058] S101, a data processing module presets a first keyword, a second keyword and / or questions related to the first keyword;

[0059] S102, the content input module identifies the text information in the input box and sends the identified text information to the data processing module;

[0060] S103, the data processing module receives the recognized text information, matches it with the preset second keyword to determine the corresponding first keyword, and feeds back the matching result to the content input module, and the content input module displays the first keyword and / or related questions of the first keyword according to the feedback result for the user to select;

[0061] S104, the content input module identifies the first keyword and / or the first keyword-related questions selected by the user, and updates the identified first keyword and / or the first keyword-related questions into the input box.

[0062] S105, looping steps S102 to S104 until the user completes inputting the content in the input box.

[0063] In the specific implementation process of this embodiment, the data processing module presets the first keyword, the second keyword and the related questions of the first keyword, wherein the second keyword includes the first keyword and / or the synonyms, similar words, etc. of the first keyword. The content input module identifies the text information in the input box, which is not limited to the text information changing one character or multiple characters, and sends the identified text information to the data processing module, including the content before the change, the content after the change, the cursor position, etc. The data processing module receives the identified text information, matches it with the preset second keyword to determine the corresponding first keyword, and obtains the related questions of the first keyword, and feeds back the results to the content input module. The content input module displays the first keyword and / or the related questions of the first keyword according to the feedback results for the user to choose. The content input module receives the first keyword and / or the related questions of the first keyword selected by the user, and updates the input box with the first keyword or the related questions of the first keyword, for example: if the user selects the first keyword, the first keyword will be replaced in the input box, and if the user selects the related questions of the first keyword, the questions selected by the user will be added to the input box. The user continues to input, and the above identification, feedback and update steps will be circulated until the user completes the content input in the input box.

[0064] like Figure 5 As shown, this embodiment also provides a method for generating active prompt text content, including the following steps:

[0065] M101, presetting the first keyword, the second keyword and / or questions related to the first keyword;

[0066] M102, recognize the text information in the input box;

[0067] M103, matching the recognized text information with a preset second keyword to determine a corresponding first keyword, and displaying the matched first keyword and / or questions related to the first keyword for selection by the user;

[0068] M104, identifying the first keyword and / or the question related to the first keyword selected by the user, and updating the first keyword and / or the question related to the first keyword into the input box;

[0069] M105, looping steps M102 to M104 until the user completes inputting the content.

[0070] In step M01 of the present embodiment, the preset first keyword includes precise words and next-level category keywords, and the preset second keyword includes the first keyword and / or synonyms or similar words of the first keyword. In step M104 of the present embodiment, updating the identified first keyword and / or the related questions of the first keyword to the input box includes automatic system updates and manual user updates; and / or replacing the keywords in the text information in the input box with the first keyword and / or the related questions of the first keyword, and / or appending them to the end of the question content in the text information in the input box. In different embodiments, the method also includes the active prompt text content generation system in any of the above embodiments.

[0071] In the above embodiment, according to the changes in the content in the input box, it is possible to timely identify whether there are key terms that the user may be concerned about in the content. If there are, the user will be recommended in time to help and guide the user to ask questions in more standardized text. If the key term has a more detailed and accurate category, it will also be recommended to the user; while prompting the key term, the recommended questions related to the key term are prompted for the user to choose or refer to, giving the user more ideas and inspiration for asking questions.

[0072] In order to explain the above embodiment in more detail, the following embodiment is illustrated by taking human resource management as an example.

[0073] The data processing module presets the first keyword, the second keyword, and questions related to the first keyword, such as preset corresponding content of human resource management:

[0074] Preset first keyword: human resource management;

[0075] The preset second keyword is used to find the first keyword. The preset second keywords include:

[0076] (1) The first keyword: human resource management;

[0077] (2) Synonyms of the first keyword: human resources management, personnel management, talent management, organizational human resources, employment management; Similar words of the first keyword: human resources, HR, human resources management.

[0078] Related questions of the preset first keyword include common questions about human resource management, questions raised by other users about human resource management, and popular questions about human resource management on the Internet. For example, common questions about human resource management include: "How to recruit suitable employees?", "How to conduct employee performance evaluation and incentives?", etc., questions raised by other users about human resource management include: "How to train and improve employees' skills?", "How to determine a reasonable salary and benefits system?", etc., popular questions about human resource management on the Internet include "How to solve employee turnover and retain talent?", "Awareness and understanding of human resource management", etc. The preset related questions are as follows: "How to recruit suitable employees?", "How to conduct employee performance evaluation and incentives?", "How to train and improve employees' skills?", "How to determine a reasonable salary and benefits system?", "How to solve employee turnover and retain talent?", "Awareness and understanding of human resource management".

[0079] The next level category keyword of the preset first keyword, such as Figure 6 As shown, such as: conducting recruitment activities, providing employee training, conducting employee evaluations, formulating salary and benefits policies, ensuring labor relations compliance, developing employee relations, planning human resource strategies, optimizing human resource processes, etc.

[0080] The preset next-level keyword of the first keyword, as well as the second keyword of the next-level keyword and related questions of the next-level keyword, the preset content can refer to the configuration of the first keyword.

[0081] The content input module identifies changes in the text content in the input box and sends the complete text content in the input box to the data processing module, including text content manually input by the user or text content copied and pasted by the user.

[0082] The data processing module receives text content, such as "I am the company's human resources specialist, may I ask about HR?", splits the text into "I", "company", "personnel", "personnel specialist", "may I ask", "about", "HR", and matches them with the second keyword respectively, matching the second keyword "HR", and determining the matching first keyword "human resource management" according to the second keyword, such as Figure 6 shown.

[0083] like Figure 7 As shown, the data processing module obtains relevant questions such as "How to recruit suitable employees?", "How to conduct employee performance evaluation and incentives?", etc. based on the first keyword "human resource management", and feeds them back to the content input module to be displayed to the user for selection.

[0084] In some embodiments, it also includes obtaining the next-level category keywords and next-level category-related issues based on the first keyword "human resource management", such as conducting recruitment activities, providing employee training and related issues, and returning them to the content input module together with the keywords.

[0085] In various embodiments, Figure 8 As shown, it also includes: if the first keyword does not obtain the next-level keyword, then the related questions of the first keyword are directly displayed to the user. For example, the first keyword is "organizing training activities", and the related questions are "What impact does training have on the benefits of the enterprise", "Which training activities are most suitable for our enterprise?", "Can the cost of training be recovered?", "How to determine the goals and content of training?", etc., but "organizing training activities" has no next-level keyword, then the related questions are directly displayed, and the first keyword "organizing training activities" is not displayed.

[0086] like Figure 7 and Fig. 9 As shown, the content input module identifies the first keyword selected by the user, such as "human resource management", and replaces the original "HR" in the input box content with "human resource management". The content input module identifies the related questions of the first keyword selected by the user, such as "how to recruit suitable employees?", and appends the question to the end of the input box content.

[0087] The user can continue to input content, and the recognition, feedback, and update cycles are continued until the user completes inputting the content.

[0088] When the user inputs content, if the second keyword is recognized in the input box, the second keyword can be highlighted, such as Fig.10 As shown, it is displayed in bold. In different situations, it can also be highlighted or displayed in color, so as to prompt the user that the content input contains the second keyword.

[0089] It should be noted that, although the above embodiments have been described in this article, the patent protection scope of the present invention is not limited thereby. Therefore, based on the innovative concept of the present invention, changes and modifications made to the embodiments described herein, or equivalent structures or equivalent process changes made using the contents of the present invention specification and drawings, directly or indirectly applying the above technical solutions to other related technical fields, are all included in the patent protection scope of the present invention.

Claims

1. An active prompt text content generation system, It is characterized in that include: A data processing module, used for presetting the first keyword, the second keyword and / or questions related to the first keyword; It is also used to receive the text information recognized by the content input module, match it with the preset second keyword to determine the corresponding first keyword, and feed back the matching result to the content input module; The content input module is used to identify the text information in the input box and send the identified text information to the data processing module; it is also used to display the first keyword and / or related questions of the first keyword for user selection based on the feedback results of the data processing module; it is also used to identify the first keyword and / or related questions of the first keyword selected by the user, and update the identified first keyword and / or related questions of the first keyword into the input box.

2. The active prompt text content generation system according to claim 1, Features: The first keywords preset by the data processing module include precise words and next-level category keywords, and the second keywords preset by the data processing module include the first keyword and / or synonyms or similar words of the first keyword.

3. The active prompt text content generation system according to claim 1, Features: The first keyword-related questions preset by the data processing module also include questions frequently asked by other users and / or related hot questions on the Internet that are related to the first keyword.

4. The active prompt text content generation system according to claim 1, Features: The content input module is used to identify text information in the input box. If it is identified that the text information in the input box contains several second keywords, the selected second keyword is displayed, and the first keyword matching the second keyword and / or related questions of the first keyword are displayed, and / or the unselected second keyword is hidden, and the first keyword matching the second keyword and / or related questions of the first keyword are hidden.

5. The active prompt text content generation system according to claim 1, Features: The content input module is used to identify text information in the input box. If the identified text information includes one or several second keywords, when any second keyword in the input box is selected, the first keyword matching the second keyword and / or related questions of the first keyword will be displayed. If the matching first keyword has no next-level category, the related questions of the first keyword will be directly displayed.

6. The active prompt text content generation system according to claim 1, Features: The content input module is used to identify the text information in the input box. If the second keyword in the input box is identified, the second keyword is highlighted.

7. The active prompt text content generation system according to claim 1, Features: The content input module is used to update the identified first keyword and / or questions related to the first keyword into the input box, including automatic system updates and manual user updates; and / or replace the keywords in the text information in the input box with the first keyword and / or questions related to the first keyword, and / or append them to the end of the question content in the text information in the input box.

8. A method for generating active prompt text content, It is characterized in that include: The active prompt text content generation system described in any one of claims 1 to 7 above further includes the following steps: S101, a data processing module presets a first keyword, a second keyword and / or questions related to the first keyword; S102, the content input module identifies the text information in the input box and sends the identified text information to the data processing module; S103, the data processing module receives the recognized text information, matches it with the preset second keyword to determine the corresponding first keyword, and feeds back the matching result to the content input module, and the content input module displays the first keyword and / or related questions of the first keyword according to the feedback result for the user to select; S104, the content input module identifies the first keyword and / or the first keyword-related questions selected by the user, and updates the identified first keyword and / or the first keyword-related questions into the input box.

9. The method for generating active prompt text content according to claim 8, It is characterized in that The process also includes step: S105, looping steps S102 to S104 until the user completes inputting the content in the input box.

10. A method for generating active prompt text content, It is characterized in that The following steps are involved: M101, presetting the first keyword, the second keyword and / or questions related to the first keyword; M102, recognize the text information in the input box; M103, matching the recognized text information with a preset second keyword to determine a corresponding first keyword, and displaying the matched first keyword and / or questions related to the first keyword for selection by the user; M104, identifying the first keyword and / or the question related to the first keyword selected by the user, and updating the first keyword and / or the question related to the first keyword into the input box; M105, looping steps M102 to M104 until the user completes inputting the content.

11. The method for generating active prompt text content according to claim 10, Features: In step M01, the preset first keywords include precise words and next-level category keywords, and the preset second keywords include the first keywords and / or synonyms or similar words of the first keywords.

12. The method for generating active prompt text content according to claim 10, Features: In step M104, the identified first keyword and / or questions related to the first keyword are updated to the input box, including automatic updates by the system and manual updates by the user; and / or the first keyword and / or questions related to the first keyword are replaced with the keywords in the text information in the input box, and / or appended to the end of the question content in the text information in the input box.